Identifying critical challenges to lean construction adoption

Arpit Singh (Department of Information Systems and Analytics, Jindal Global Business School, O. P. Jindal Global University, Sonipat, India)
Vimal Kumar (Department of Information Management, Chaoyang University of Technology, Taichung, Taiwan)
Ankesh Mittal (Department of Mechanical Engineering, Asra College of Engineering and Technology, Sangrur, India)
Pratima Verma (Department of Strategic Management, Indian Institute of Management Kozhikode, Kozhikode, India)

Construction Innovation

ISSN: 1471-4175

Article publication date: 12 April 2023

Issue publication date: 9 January 2024

702

Abstract

Purpose

This study aims to set out to identify and evaluate potential obstacles to successfully implementing lean construction (LC) as a result.

Design/methodology/approach

Several indicators were recognized as major obstacles following an exhaustive assessment of the literature and a multicriteria decision analysis based on the analytic hierarchy process (AHP) of information obtained from a questionnaire survey that was directed to practitioners in the Indian construction industry.

Findings

The results of this AHP model suggest that “Managerial” and “Inadequate resources” categories with a priority weight of “0.361” and “0.309” have the highest levels of influence, respectively, while “Inadequate knowledge” and “just in time (JIT)” categories with a priority weight of “0.053” and “0.034” have the lowest levels of influence, respectively.

Research limitations/implications

Construction companies can use the study’s findings as a guide to determine whether they are ready to embrace LC, learn more about the components needed for implementation or investigate any challenges that may arise. These businesses can then create plans to promote the adoption and application of the lean philosophy.

Originality/value

The Indian construction industry may see great success with LC management initiatives. LC concepts have been adopted by many nations, but during the past 20 years, there has only appeared to be a limited amount of lean implementation in the Indian construction industry. It seems that several structural and cultural barriers are preventing its effective implementation. Organizations will not be able to determine what improvement efforts are required, where these efforts should be directed or which initiatives could provide the best outcomes if they are unaware of the elements that influence the effective implementation of LC.

Keywords

Citation

Singh, A., Kumar, V., Mittal, A. and Verma, P. (2024), "Identifying critical challenges to lean construction adoption", Construction Innovation, Vol. 24 No. 1, pp. 67-105. https://doi.org/10.1108/CI-09-2022-0229

Publisher

:

Emerald Publishing Limited

Copyright © 2023, Emerald Publishing Limited


1. Introduction

The idea and application of lean management as early as the 1990s and its astounding success in the manufacturing sector have motivated management and practitioners to apply lean management practices in the construction sector as well (Koskela et al., 2019; Nwaki et al., 2021; Howell and Ballard, 1994). The present issues in the construction sector are a result of traditional project management lacking a comprehensive underpinning theory in three areas. Lean construction (LC) is an invention that emerged as a result of established methods’ failure to address several recurring, widespread issues on projects. From Koskela’s groundbreaking work, LC has progressed and expanded. He put up a well-rounded theory that included ideas and procedures from the Toyota Production System (TPS) (Ballard and Tommelein, 2012; Biton and Howell, 2013). Researchers claim that the implementation of LC management can revolutionize the construction industry (Ballard et al., 2020; Karaz et al., 2021). The most notable outcomes of LC implementation are cost savings (Awad et al., 2021), profitability (Bayhan et al., 2021), productivity (Hamzeh et al., 2021; Awad et al., 2021), project duration (Orlov and Kankhva, 2021), project quality (Xing et al., 2021), safety (Abu Aisheh et al., 2021), sustainability (Bertagnolli et al., 2021), information sharing and collaboration among participants (Ong and Pheng, 2021), inventory management (Zahraee et al., 2021), job satisfaction (Al Balkhy et al., 2021) and project scheduling and predictability (Sbiti et al., 2021).

The implementation of LC was received with positive sentiments across several areas, including the USA, South America, the UK and European countries (Al Balkhy et al., 2021; Habibi Rad et al., 2022; Sarhan and Pretlove, 2021; Schimanski et al., 2021). LC has various advantages for the construction industry, including efficient resource management and use, on-time project delivery and environmental sustainability. The adoption of LC in Nigeria and its value to communities, contractors and end-users were examined in a study where scholarly reports and publications revealed that only a small number of working professionals, primarily in Lagos, Abuja, Port-Harcourt, etc., had correctly embraced the lean building principles. Limitations in construction employees’ knowledge, exposure and educational attainment have been noted (Babaremu et al., 2022). In Oman, study data was gathered using an online questionnaire survey following a quantitative research methodology. According to the poll, half of the construction professionals and one-third of them have a higher level of awareness regarding LC practices. With a strong consensus on applicability and acceptability, more than one-third of construction organizations are embracing LC principles. They also understand that time investment is important for successful implementation and to realize advantages. According to the study’s findings, the primary benefit of applying LC principles during the design and construction phases in the Omani construction industry is the decrease in project delivery time and construction site waste (Shah et al., 2021). If the lean production method is properly implemented, the plastics industry in Lebanon has the potential to grow to be one of the country's most successful industries when compared to other industries. This is possible if the company offers the proper education and training programs to the appropriate staff members to raise their awareness of the system and help them fully comprehend lean and its advantages, help them overcome their lack of vision and secure the support and commitment of top management. Managers need a plan to back up their efforts to implement lean (Hamzeh et al., 2016). A scenario of integration and proactive implementation of the lean system will result from training. Additionally, top management must encourage and support their employees while they work efficiently and effectively (Nassereddine and Wehbe, 2018). However, many countries like the UAE, Thailand, Singapore and Australia have reported failures in the implementation of LC on account of several factors including lack of awareness and knowledge about the concept of LC, lack of resources, lack of selection criteria, lack of improved sustainability and internal management resistance (Moyo and Chigara, 2021; Puram et al., 2021; AlBalkhy and Sweis, 2022; Xing et al., 2021).

In a developing country such as India that is vulnerable on account of various issues, the two most prominent ones being increasing population and political tensions, the construction industry is a crucial sector to help alleviate the problems to some extent. The construction sector of India is the third largest contributor to gross domestic product (GDP) in India with 7.16% of the total GDP (Sector-wise GDP of India, 2022). However, the construction sector of India falls behind in terms of sustainable development due to many reasons, some of the critical ones being cost overrun, safety-related issues, poor productivity and performance, unskilled workforce, distorted and unhygienic working conditions, delays and reworks (Sadeghi et al., 2022; Windapo et al., 2021; Dixit, 2021). In light of the aforementioned issues, there is an urgent need to rethink the management of construction projects in India that can help in overcoming the issues with construction management in India. According to Dr Koshy Varghese, Professor, Building Technology and Construction Management Division, Department of Civil Engineering, Indian Institute of Technology (IIT) Madras, Indian businesses are aware of the need to increase production by reducing waste. Leading businesses have started working toward lean. However, because of the industry’s fragmentation, it will take some time for all participants to align their operations with the lean-based methodology (Construction world, 2022). Construction is not an fast-moving consumer goods product, which is something companies cutting costs in the near term need to recognize. It endures for decades or perhaps millennia. As a result, serious players should consider LC as an investment and a means of setting themselves apart from the competition. Lean is an expense, not a cost. The building sector in India uses a lot of labor. Dealing with machines requires far more formality than doing business with people. The majority of the identified obstacles include variable temporary multiorganization execution teams for each project; constant inflow of unskilled labor and outflow of trained labor from different labor contractors; subcontractors’ perception of their workforce; and lack of collaborative information sourcing teams (design consultants and project management consultancy) causing a delay in the timely availability of desired changes and approvals (Jagannathan et al., 2022). One of the most well-known LC technologies that provide a solution to the issues with production management on building sites is The Last Planner System® (LPS). Construction firms throughout the world have reportedly used Last Planner since its launch approximately 20 years ago with claimed success. Even though the Last Planner was initially intended to alleviate some of the critical path method’s drawbacks, task continuity was not specifically addressed. Additionally, the LPS does not provide any explicit visual aids other than production planning and control and reasons for noncompletion charts (Dave et al., 2015). The major objective of the paper by Barbosa et al., 2013 is to illustrate, step-by-step, the whole implementation process of several LC principles, tools and techniques while also discussing the advantages realized in just one year. The construction business had no prior experience with lean ideas and spent a year receiving expert counsel and attending regular courses on the subject. The engineers began the implementation process during the study with the design of the production system and continued with the production planning and control using the LPS. A project management system written in the Delphi programming language was also created. It contains long, medium and short-term plans as well as details on staff availability and productivity control, safety, quality and apartment customization (Barbosa et al., 2013). The purpose of the article authored by Mano and coauthors was to identify the most significant hurdles to effective LC adoption in the civil construction sector. The study revealed that despite the research providing several challenges to LC, organizations may find it challenging to identify the presence of these barriers. The objective of this research was to simplify the knowledge of the challenges by identifying a limited collection of criteria that are crucial to effective LC implementation. The study was carried out in Brazil using a questionnaire-based survey with 135 responses from civil construction professionals (Mano et al., 2023).

The paper is divided into six sections. Section 2 explains the literature review on the lean concept and barriers to LC. Section 3 illustrates the research methodology adopted for carrying out the analysis. Section 4 presents the data analysis and results of the study, followed by a discussion and findings with theoretical and managerial implications in Section 5. Section 6 outlines the conclusions with limitations and scope of the future opportunities.

2. Literature review

2.1 Development of Toyota Production System

The TPS in Japan originally used the term “lean” in the 1970s and then moved swiftly to the west and across the world (Howell, 1999; Salentijn et al., 2021). The idea of lean was conceived by John Krafick in 1988 in his article titled “Triumph of the lean production system” (Krafcik, 1988). TPS is a management philosophy and a set of practices developed by the Japanese automaker “Toyota.” It is sometimes referred to as “the Toyota way.” The development of TPS had its theoretical underpinning in two key principles: the just-in-time (JIT) philosophy which emphasizes the minimization of waste and inventory and the Kaizen approach focusing on continuous improvement. These principles, coupled with others such as understanding and valuing customers and long-term strategic thinking, formed the foundation of TPS. Adopting the TPS management philosophy has been instrumental in curbing costs, increasing productivity and managing waste across multiple industries around the world. TPS has constantly evolved to keep pace and meet the changing requirements of industries, technologies and customer demands. Today, TPS can be regarded as a flexible and holistic system that is capable to address the needs of a wide variety of organizations, regardless of size or industry.

The TPS and lean thinking can be considered to be strongly linked to each other. In fact, TPS is rightly referred to as the birthplace of lean thinking. Lean thinking originated following the success of TPS and its principle, such as JIT and minimizing waste and maximizing value. Lean manufacturing is a technique that emphasizes reducing waste while also raising production. Essentially, wastage is perceived to be anything that adds no value, and they would not pay for it (Palange and Dhatrak, 2021; Ballard, 2008). Since the pioneering work by Koskela (2004) on the application of lean thinking in the construction sector, where he argued that a new lean approach based on the delivery of value to customers as opposed to the traditional focus on efficiency can prove to be effective in the construction industry, the lean thinking philosophy has come a long way. The combination of lean concepts and the Six Sigma methodology has grown in popularity. Lean Six Sigma blends lean’s waste reduction and continuous improvement focus with Six Sigma’s data-driven, problem-solving methodology. The evolution of lean thinking has been significantly influenced by the emergence of digital technologies. To complement lean processes, digital tools and platforms such as value stream mapping, data collecting and analysis and continuous improvement tracking have been developed. Lean thinking has been applied to the health-care business with the goal of improving patient outcomes, decreasing waste and boosting health-care delivery efficiency. The Lean Startup methodology was established to incorporate lean concepts into the creation and development of new products and enterprises. This method places a premium on quick prototyping, consumer input and continual development. It is becoming increasingly necessary to include social responsibility and sustainability in lean thinking. Social Lean highlights the need for companies to take into account the social and environmental effects of their operations.

2.2 Evolution of lean thinking and lean construction

LC dates back to the early 1990s when a group of researchers and practitioners in the UK began investigating the application of lean thinking to the building sector. The phrase “lean construction” in 1993 attracted a number of researchers and academicians, motivating extensive research in the field. Koskela explored the application of lean production concepts to the construction sector in this study, stating that the deployment of lean principles may considerably help the construction industry. The author emphasizes lean’s ability to address typical construction industry difficulties such as poor productivity, excessive waste and low quality, and suggests a new method of construction project delivery based on lean principles. The report is widely regarded as a key contribution to the subject of LC, laying the groundwork for future research and development (Koskela, 1993). Howell and Ballard postulated that the lean production technology (LPT) can assist individuals in charge of complicated, unpredictable and time-sensitive projects to execute better. These techniques are valuable for all projects, but the emphasis should be on those in high-stress conditions. Because of the huge and complicated nature of construction projects, LPT from construction may be used for other product development activities. However, the temptation to adjust real-world uncertainty to match a theory must be avoided. A unique strategy for controlling all flows is required, and if stability is established via improved planning, methodologies analysis may apply comparable ideas to those used at the project level (Howell and Ballard, 1994). The article by Huovila and Koskela (1998) explored the challenges of sustainable development in terms of building longevity. It discusses numerous facets of sustainable development, such as social, ecological, cultural and environmental concerns, as well as examples of sustainable construction techniques from other nations. The article also discusses how lean concepts might aid in the advancement of sustainable construction and offers an example of a framework for defining sustainable building standards. Salem et al. (2006) compared and contrasted LC and lean manufacturing practices. They discussed a case study of a construction project that tested key LC features, as well as a proposal for a “lean evaluation tool” to quantify the effects of lean implementations in construction. The tool assesses six variables, namely, last planner, increased visualization, huddle meetings, first-run studies, five S’s and fail-safe for quality and provides a straightforward and adaptable strategy for every building job.

The concept has gained substantial acceptance in the construction industry since then. Researchers and practitioners have developed and refined lean principles, tools and techniques specifically for the construction industry over the past few decades, and today, LC is widely recognized as an effective approach to improving the performance and efficiency of the construction process. Since the invention of LC, it has been difficult to put the approach, tools and way of thinking into practice. LC has a proven track record of accomplishment, but there are still implementation issues, including those related to culture, leadership, training and partial adoption. According to some sources, the main implementation difficulties are caused by the erroneous application of the instruments of LC, and case studies have revealed that this is frequently the case. Sven Bertelsen and MT Hjgaard, among others, have been the driving force behind making Denmark one of the pioneering nations in the LC movement. It is regarded as a nation that has fully and extensively adopted LC (Wandahl, 2014). A study of the life cycle of a building project was used to identify six typical use cases for product information. In addition, approaches to improve and import product information in a form that the project partners could use were found. Finally, a process model for PIM in building projects was proposed by the research. The process’s most crucial subsolutions revolve around the synchronization of information particular to each product group in the design and the creation of product databases. Other options, such as using product and batch identification codes, integrating standard product information to building information modeling (BIM) and tying product process information to the BIM model, can be implemented based on comprehensive and harmonized information (Peltokorpi and Seppänen, 2022). In the past six years, it has become more difficult to find a mid- or large-sized project that does not use parts of the lean ideas that were first introduced to the Finnish construction sector two decades ago. Over the years, the pace of adoption has gradually accelerated. It has been challenging to assess whether the industry has improved. The objective of the study conducted was to analyze other commonly used industry-level measures and to introduce a set of benchmarking measurements that the industry and academia in Finland have agreed to submit annually. The initial measurement findings showed that the project types often used in reporting are too broad to allow for meaningful comparisons (Elfving and Seppänen, 2022). Some of the key advantages offered by lean systems include reduced operating costs, reduced lead times and improved product quality. Among the early adopters of lean production systems are companies like Toyota, Intel, John Deere and Nike. Based on a multitude of specific principles, including Kaizen (or continuous improvement), lean principles have significantly affected manufacturing processes across the globe, as well as other industries including health care, software development and service industries (Utami and Sitorus, 2021). Five core lean principles, including identifying value from the customer’s perspective, mapping the value stream, creating flow, establishing a pull system and pursuing perfection with continuous process improvement, are listed in the widely cited book “Lean Thinking: Banish Waste and Create Wealth in Your Corporation,” which was published in 1996 (Demirkesen, 2021). The seven processes listed by the TPS as wastes are idling of people and equipment, excessive inventory, idling of people and equipment, the unnecessary motion of people and equipment, excessive production, excessive processing, defects requiring effort to fix and waste of underused talent and ingenuity (Kumar et al., 2022a; Tommelein, 1998). According to Koskela et al. (2003), there can be at least two of the suggested solutions call for more comprehensive adjustments for the inclusion of lean philosophy in construction organizations. One is troubled by the lack of innovation in the construction industry. The answer would be a greater capacity for innovation across the board (combined with more funding in R&D). The second solution that has been put out deals with the characteristics of the construction industry, specifically site production, unique production and temporary organization.

There exists a rich literature on the identification of critical challenges in the adoption of lean philosophy across various industries in many countries. Some of the most notable ones are listed in this section. In an interesting study of finding, the major barriers to embracing LC practices in the kingdom of Jordan, several key barriers surfaced that hindered the lean adoption, such as the absence of support from the top management, lack of training, low awareness toward LC and the absence of transparency (Al Balkhy et al., 2021; Ballard and Howell, 2003). To highlight the significant barriers, factor analysis revealed that integration and performance-related, human capital management-related and quality management-related hurdles were among the most detrimental to the implementation of LC in Zimbabwe’s construction projects industry (Moyo and Chigara, 2021). The lack of government-mandated BIM and LC industry standards and regulations, a lack of government involvement and support, a high cost of BIM software licenses, industry resistance to changing its traditional working practices and high initial investment in staff BIM training costs were found to be the biggest barriers to integrating lean integrated project delivery (IPD) and global integrated delivery (GID) on construction (Evans et al., 2021). A study that evaluated LC practices for enhancing safety in the Gaza Strip revealed several obstacles, including a lack of understanding of the LC concept, a lack of government support for implementing novel techniques in construction projects and a lack of understanding of how to use LC techniques for enhancing safety (Enshassi et al., 2021). Resistance to change and culture, inappropriate design detail and procedure, cultural and human attitudinal challenges, a lack of coordination and communication and a lack of target value design were some significant obstacles to the introduction of LC techniques in Gujarat’s construction industry (Thakkar and Shah, 2021). In a similar study conducted on the construction projects in Peru to investigate the barriers to LC implementation, it was discovered that the biggest obstacles to the successful implementation of LC were a lack of government policies, a lack of partnerships between the academy and organizations and high consumption of time and resources with no payoff (Huaman-Orosco and Erazo-Rondinel, 2021). The major barriers to the implementation of LC practices in Afghanistan’s construction industry were war and no security, absence of enough lean awareness and recognition, civilization culture and human attitudinal matters and senior management obligations (Omari, 2021).

2.3 Research gap

Because of India’s distinct cultural, economic and political setting, the challenges to implementing LC differ from those in other nations. Some of the challenges unique to India are as follows:

  • Lack of awareness: Professionals in India have inadequate knowledge (IK) and comprehension of LC, resulting in a lack of motivation in implementing it. Professionals may be unable to completely comprehend the potential of LC to enhance project efficiency, decrease waste and raise quality unless they have a solid understanding of it. This can result in a lack of incentive to implement LC, as well as a lack of support from upper management, who may not see the benefit in investing in new methods and procedures.

  • Resistance to change: Traditional construction experts may be resistant to adopting new methods and procedures, which can hinder the adoption of LC. Change resistance is a typical impediment to the implementation of LC in India and other nations. Traditional construction experts may be accustomed to working with well-established processes and procedures and may be reluctant to change. This may be attributed to a number of issues, including a lack of understanding of LC, a fear of the unknown, a lack of faith in new approaches and the perception that present procedures are enough. Anyone may find change tough, and the construction business is no exception. The industry has a lengthy history and is based on well-established processes and procedures. The implementation of a new approach, such as LC, might be viewed as a challenge to the status quo and existing ways of functioning. As a result, traditional construction experts may be resistant to adopting LC.

  • Limited resources: LC necessitates substantial resources, such as training, equipment and software, all of which may be in short supply in India. Limited resources, such as financing, labor and equipment, might be a significant impediment to LC implementation in India. LC necessitates significant resources to implement, requiring construction professional training, specialized equipment and software to support the procedures and approaches. These resources may be in limited supply in many circumstances in India, particularly in smaller companies and on smaller projects. The cost of implementing LC can be a significant impediment because it entails a large investment in resources. This investment may include the cost of training, equipment purchases and software and technology purchases. The expense of these resources may be prohibitive for smaller companies and projects, particularly in a nation where the building sector is very cost-sensitive. Furthermore, the availability of skilled personnel as well as the essential equipment and technology in India, particularly in rural areas or regions with less developed construction industries, may be limited. This can make it difficult to apply LC effectively and result in failure, discouraging businesses from adopting it in the future.

  • Complex rules: The Indian construction sector is tightly regulated, and navigating the laws may be difficult and time-consuming, making it difficult to implement innovative methods such as lean building. The sector’s complicated norms and regulations can be a substantial obstacle to the adoption of new approaches such as LC. In India, the construction sector is tightly regulated, with several laws, norms and standards that must be followed. Navigating this complicated Web of laws and regulations may be difficult and time-consuming, making new methods and processes like LC difficult to implement. The laws’ intricacy can make understanding the requirements for adopting LC, as well as the repercussions of noncompliance, challenging. This might lead to a lack of confidence in implementing LC and a reluctance to take the necessary measures.

  • Economic factors: The expense of implementing LC can be an impediment, particularly in India, where project budgets are frequently constrained. Economic issues such as project budgets and cost restrictions might be significant barriers to LC implementation in India. The cost of implementing LC may be significant, including training, equipment, software and manpower. In many circumstances, the cost of implementing LC may be perceived as too expensive, especially in a nation like India, where project budgets are frequently constricted. The Indian construction sector is generally cost-sensitive, and firms may be hesitant to implement LC if they fear it would result in increased prices. This is especially true for smaller businesses and projects with limited resources that cannot withstand the increased expense of implementing LC.

The Indian construction sector confronts several issues, including inefficiency, waste and poor quality. We can better understand how to overcome these problems and enhance the overall quality and efficiency of the construction sector by researching the challenges in the implementation of LC. Understanding the constraints to LC adoption in India will assist organizations and stakeholders in overcoming these barriers and promoting the wider adoption of LC. In India, the construction sector is a major engine of economic growth. We can help India’s economic growth and development by enhancing the efficiency and quality of the construction sector via the use of LC. LC places a heavy emphasis on waste reduction and sustainability. We can assist enhance the sustainability of the building sector and decrease its environmental effect by advocating the use of LC in India. It is critical for Indian construction companies to be competitive in a global market. These businesses may increase their efficiency, quality and competitiveness by using LC.

As of right now, no study has determined what obstacles stand in the way of LC adoption in India’s construction sector. This study identifies and investigates these barriers explicitly in the context of the construction sector in India to fill this knowledge gap. LC philosophy presents a viable solution to deal with the problems associated with the construction sector. Surprisingly, there is very limited research on LC adoption in the construction sector of India. To address the identified gaps, the following Research Questions (RQs) have to be answered:

RQ1.

What are the major barriers to the construction industry’s adoption of the lean construction philosophy?

RQ2.

What immediate barriers need to be fixed in order to urge the construction sector to quickly adopt lean construction?

The specific research objectives of this study are to identify the main issues affecting the adoption of LC in the industry and prioritize the challenges based on their severity and ability to impede the adoption of LC in the construction industry. This study attempts to present an overarching view of LC implementation in the construction sector of India. More specifically, the most significant barriers to the adoption of LC in the construction industry in India are identified with the hope that it contributes to its capacity as a framework of reference for managing construction projects more effectively in India. Additionally, the critical barriers to the adoption of LC represent the culture or mindset that can be categorically studied that will assist in implementing productive strategies more compatible with the Indian environment.

Table 1 presents the critical barriers to the implementation of LC philosophy in Indian construction organizations.

3. Research methodology

This research work aims to present an overarching analysis of LC implementation in the construction sector of India. To determine the biggest obstacles to the adoption of LC in the Indian construction sector, this study uses an analytic hierarchy process (AHP) that combines qualitative and quantitative methods. It is hoped that by serving as a framework for comparison, this study will help to effectively change how construction projects are managed in India.

Broadly the process of gathering, validating and finalizing the set of challenges in the adoption of a lean framework can be divided into three stages.

In the first stage, based on the extant literature review on the challenges in the adoption of the lean principle in various organizations, we proposed an initial list of major challenges in construction organizations. The list was presented to research scholars and academicians active in the field of lean principles and related academic work; and construction organizations’ personnel who agreed to provide suggestions on the appropriateness of the set of challenges gathered in the first stage.

Certain challenges were removed from the list upon the suggestions of the participants, who pointed out that some of those challenges were redundant and irrelevant to the construction industry. We included some new challenges which highlighted the industry-specific issue of the adoption of the lean principle in construction organizations. The updated list from the first stage was circulated to a group of a few intended respondents, including researchers, academicians and construction management personnel for pilot testing that marked the second stage.

There were certain discrepancies in the form of wording and ambiguity in the meaning of some challenges that were addressed in this stage. In the final stage, the list was finalized and circulated to the experts for gathering their responses on the severity associated with the challenges, which were subsequently analyzed using a multicriteria decision-making method based on the AHP, the details of which can be found in the section that follows.

The details of the experts considered for this survey are presented in Table 3.

The flowchart of the proposed research work is presented in Figure 2.

The AHP method is used as a general judging strategy as well as a qualitative technique for dealing with difficult and unstructured issues (Saaty, 1988). AHP is helped to break down a complex issue into several intermediate levels of the hierarchy (Crowe et al., 1998; Saaty, 1980; Kumar et al., 2022b; Verma et al., 2021). The assessments of experts and academicians establish the order of importance for each of the contributing variables. Pair-wise evaluation findings based on professional judgment and expert panel have been related to pairs of homogeneous criteria (Saaty, 1980; Kumar et al., 2022b; Verma et al., 2021). The AHP method is frequently used for a variety of objectives in various contexts.

The different steps concerned in the AHP technique are as follows.

Step-1: Define the objective of the study/Construct a decision situation into the objective.

Step-2: Develop an AHP hierarchical framework.

Step-3: Compilation of empirical information through the combined judgment of professionals.

Step-4: Establish pair-wise comparisons (to evaluate priority weights of components) by using Saaty’s 1–9 point scale.

Step-5: Normalize the column of numbers by dividing each entry by the sum of all entries in the column:

rij=aiji=1naij

The approximate priority weight (W1, W2,…….Wj) for each factor is obtained as:

  Wj=1n×i=1naij

Here, n is the number of components; a is the cell value assigned in a pairwise matrix.

Step-6: Examine the consistency of obtained pair of norms.

CI=λmaxn(n1)

Here, CI is the consistency index; λmax is the maximum value of eigenvalues and n is the number of components.

Step-7: Calculate the consistency ratio (CR):

CR=CIRCI

4. Data analysis and results

The most significant obstacles to the adoption of LC in India’s construction industry have been determined using the AHP technique. As illustrated in Figure 1, a hierarchy between the conscientious barriers has been constructed with the aid of professional judgments to achieve this goal. The hierarchy structure has three levels, as shown in Figure 1, with Level 1 representing the primary goal of the study, Level 2 representing the major categories of barriers and Level 3 representing subcategories.

On a scale from “1” to “9,” the degree of preference was assigned to pairwise comparisons of key obstacles (Saaty, 1988) as stated in Table 2, where “1” denotes equal importance and “9” denotes extreme or absolute importance. Table 3 shows the summary of demographic details.

A pair wise comparison method (PWCM) is generated for each of the subcategory barriers and the main-category accountable obstacles by the hierarchy structure and the collective professional judgment. Table 4 displays the pair-wise comparison scale, and Table 5 shows the PWCM for main-category barriers.

The normalized and priority weights of the major category obstacles are shown in Table 6; managerial (M) is the category with the highest level of influence, with a priority weight of “0.361” chased by inadequate resources (IR) with a priority weight of “0.309,” improper planning (IP) with a priority weight of “0.126,” labor (L) with a priority weight of “0.117,” IK with a priority weight of “0.053” and JIT with a priority weight of “0.034,” respectively.

Further, relative weights (δ) are calculated by using the formula: A × Wj = δ

|1642291/611/21/41/521/42121/451/241/211/421544191/91/21/51/21/91|×|0.3610.0530.1260.1170.3090.034|=|2.3440.3360.8060.7192.0360.219|

A = pair-wise comparison matrix; where j = 1, 2,…n

The eigenvector “λ”:

λ=ith entry in relative weight (δ)ith entry in priority weight

Eigenvalue maximum, λmax = 6.542, CI = 0.108 and CR = 0.964. Similarly, Tables 7 to 12 show the pair-wise comparison matrix for subcategory barriers.

Tables 13 to 18 show the normalized and subcategory barriers’ priority weights. The relative relevance of barriers in the management category and their priority weights is as: lack of client focus and poor comprehension of customer needs (M1) appeared as the most essential barrier with a priority weight of “0.259.” Poor management and lack of leadership abilities (M2) is the second highest significant barrier, with a priority weight of “0.202.” Change management resistance (M3) has a priority weight of “0.170,” which is the third main barrier. Lack of leadership for quality (M4) is the 4th most significant barrier receiving “0.121” as priority weight. Lack of stakeholder interaction and transparency (M6) has a priority weight of “0.089,” which is the fifth main barrier. Lack of backing and dedication from high management (M5) is the sixth positioned barrier with a priority weight of “0.081.” Inadequate lean awareness and comprehension (M7) is the second last barrier, with a priority weight of “0.040.” Inadequate trash identification and management (M8) is the last positioned barrier under the managerial category, with a priority weight of “0.037.”

Under the IK category, the barrier project participants’ unwillingness to share risks (IK5) is a challenging barrier to resolve with a priority weight of “0.348.” The results are not fast and often only partially visible and may not conform to high (IK1) is the second most important barrier with the priority weight of “0.231.” Results are not immediate, frequently only partially evident and may not meet high expectations of management (IK2); the priority weight of “0.159” is the third most important barrier. Lean may result in increased costs or implementation costs (IK3) is the 4th most significant barrier receiving “0.114” as priority weight.

Poor professional pay, a lack of incentives and a lack of desire (IK6) have a priority weight of “0.065,” which is the fifth main barrier. Inaccurate and incomplete designs, as well as a failure to apply the design principle constructability (IK4), the sixth positioned barrier with a priority weight of “0.053.” Insufficient dissemination of the knowledge required to start a learning cycle and take remedial action (IK7) is the last barrier with a priority weight of “0.030.”

Under the IP category, the barrier absence of long-term thinking and planning (IP1) is a significant and top-positioned barrier with a priority weight of “0.409.” Avoid delegating decision-making and responsibility to people outside of top management by centralizing decision-making (IP5) is the second most important barrier with a priority weight of “0.267.” Organizational structures that are hierarchical or inappropriate (IP4) have a priority weight “of 0.160,” which is the third most important barrier. Lack of quality planning (IP3) is the 4th most significant barrier receiving “0.114” as priority weight. Lack of a long-term philosophy and planning (IP2) has a priority weight of “0.050” and is the fifth main barrier.

The ranking of subbarriers under the Labor (L) category as additional labor cost (L5) is the most crucial barrier attaining the highest priority weight of “0.357.” Labor views lean as too complex (L4) as the second most crucial subbarrier with a priority weight of “0.258.” Moreover, lack of training for employees (L3) and employee reluctance to change and anxiety about unfamiliar procedures (L1) hold third and fourth positions within the Labor (L) category with a priority weight of “0.178” and “0.142,” respectively. The fifth and sixth position barrier under this category is unskilled labor and the site foreman’s low level of education (L2) and high employee turnover (L6), which received priority weights of 0.041 and 0.024, respectively.

Under the IR category, the ranking of the subbarrier is as strict procurement requirements and approval (IR5) is the most important barrier by attaining the highest priority weight of “0.357.” Limited use of design-build procurement (IR4) is the second most important subbarrier with a priority weight of “0.243.” Moreover, poor delivery performance and late delivery of materials (IR1), and lack of enduring connections with suppliers (IR2) hold third and the fourth position within this category with a priority weight of “0.173” and “0.128,” respectively. The fifth and sixth position barrier under this category is “only occasionally using off-site construction methods and not prefabricating (IR3)” and lack of government support (IR6) which received priority weights of 0.063 and 0.036, respectively.

The priority weights and relative importance of barriers under the managerial category are as: uncertainty in the supply chain (JIT1) appeared as the most essential barrier with a priority weight of “0.548.” The high inflation rate (JIT2) is the second highest significant barrier with a priority weight of “0.317.” Poor infrastructure in transportation and communications (JIT3) has a priority weight of “0.081” and is the third main barrier. Discounts of prices of a large number of materials (JIT4), which are the 4th most significant barrier receiving “0.054” as priority weight.

Additionally, global weights are determined by dividing the subcategory barrier priority weights by the corresponding main category priority weights. For instance, the priority weight for the category that is management (M) oriented is 0.703, while the priority weight for the subcategory that has no barrier to top-management commitment is 0.657. As a result, this barrier’s overall weight is 0.703*0.657, which is 0.462. Similar to this, Table 19 displays the overall weights and rankings of all subcategory barriers. The weights of the main category barriers are shown in Figure 3, and the weights of subcategory barriers are shown in Figures 4 to 9, respectively. The global weights of all subcategory barriers are shown in Figure 10.

5. Discussion

Understanding and planning for potential roadblocks to the systematic application of LC techniques in construction projects are crucial for integrating lean practices into the construction industry. The analysis revealed that the major obstacle to the implementation of LC in the construction sector is “Strict procurement requirements and approval (IR5)” under the IR category. The lengthy and time-consuming process of acquiring approval from the higher authorities and stringent procurement processes is the major impediment to the process of implementing LC practices in the construction sector of India.

“Lack of client focus and poor comprehension of customer needs (M1)” has acquired the second rank in the overall ranking of barriers to LC implementation in the construction sector. In the construction sector of India, little attention is paid to the details of the requirements of the clients and customers when the decision has to be made regarding the adoption of new technologies or frameworks in supply chains. More focus is placed on the deadlines and completion of the projects. This leads to a state of oblivion concerning the advantages lean practices have the potential to offer. This finding is aligned with Dey et al. (2022) where the study looked at how the several stages of a closed-loop supply chain, such as design, procurement, production, distribution, consumption and recovery, may be used as fundamental factors for adopting circular economy principles. According to the study, evaluating the existing state of closed-loop supply chain functions for small- and medium-sized firms (SMEs) in four different nations can assist in identifying the obstacles they encounter when implementing circular economy practices and determining solutions to improve. While the principles of reducing waste, reusing resources and recycling are integrated into the closed-loop supply chain’s design, production and distribution stages in Greece to achieve better economic, environmental and social performance, the procurement stage has a negative impact and the consumption and recovery stages do not contribute to this. This is due to a lack of support from SME suppliers and consumers, as well as a lack of enthusiasm inside SMEs. It was suggested that the government may help to create a favorable climate for the adoption of circular economy practices by providing appropriate support, such as financial aid and programs such as training, certification and laws. As a result, there are several opportunities to improve the procurement, consumption and recovery functions of Greece’s closed-loop supply chain.

“Limited use of design-build procurement (IR4),” “Poor management and lack of leadership abilities (M2)” and “Change management resistance (M3)” are the third, fourth and fifth most influential barriers in the implementation of LC. Senior management and decision-makers in responsible positions in the construction sector are negligent and apprehensive to incorporate new methods and technologies of operations and thus deprive the industry of the numerous benefits offered by following LC practices. This situation is also fueled by the employees and workforce when there is a certain tendency to not accept change in the operations and supply chain activities. Coupled with the points mentioned above, the lack of efficient leadership poses a major obstacle to the implementation of LC practices in the construction sector. This finding is also supported by the observations made by Maware and Parsley (2022), which emphasized that the most difficult aspect of implementing lean is creating a sustainable culture, which is followed by a systems approach to cultural transformation by leadership and a lack of a strategic transformation strategy. Additional difficulties include a lack of organizational commitment, weak problem-solving abilities, a lack of key performance indicators, employee reluctance to change, role limits and insufficient data gathering. Manufacturing businesses also have challenges in terms of sharing success, standardizing processes, removing nonvalue-added activities, developing a management succession plan and gaining management support.

“Absence of long-term thinking and planning (IP1)” under the category of inappropriate planning (IP) acquires the next place in the list of barriers to LC implementation. Implementing a new method of operating business requires meticulous and comprehensive planning, without which it is difficult and, on some occasions, almost impossible to sustain the new framework and reap benefits from it. The construction sector is highly fragmented in structure, due to which various departments within the construction organizations fail to collaborate and thus resulting in disorientation and ambiguity in the dissemination of important information. This further results in distortions in understanding the principles of lean management in its entirety, thereby resulting in disregarding the implementation of LC in construction organizations. In a similar study conducted by Huaman-Orosco and Erazo-Rondinel (2021) to study the major challenges in the implementation of LC in Peru, it was found that a lack of clear understanding and scope coupled with a lack of planning and thinking affected the implementation of a large extent. According to the information gathered from implementers and the literature reviews used in the study, the main barriers identified were: “lack of government policies,” “lack of collaborative work between academia and business,” “high cost of implementation” and “lack of knowledge of lean in university graduates.” The challenges highlighted in worldwide research literature reviews are not represented in Peru; hence, individual barriers vary based on geographical area, political situation and industry type. Peruvian professionals have a poor degree of lean awareness and understanding. These findings highlight the need of emphasizing philosophy and technology.

“Additional labor cost (L5)” and “Lack of enduring connections with suppliers (IR2)” under the categories of labor and IR are placed next in the list of barriers to the implementation of LC in the construction sector. It is imagined that the inclusion of LC practices might involve additional training of the workers and employees, which is the cause of extra cost to be incurred by organizations. This is true to some extent, especially in the context of the Indian construction industry were to embrace LC practices in the supply chain and operations activities, dedicated and comprehensive training will be required to educate the workforce on the need for lean management practices, and thereafter ensure that proper protocols are followed while working on lean principles. Until the time organizations have transparent and collaborative relationships with the suppliers, the idea of having a full-scale LC framework is hard to put to work. If suppliers do not adhere to the LC principles, then the organizations receiving raw materials and other supplies from them cannot be considered lean in any aspect. Thus, the lack of enduring relationships with the suppliers is a crucial impediment on the path of full-scale LC principles implementation in the construction sector of developing nations such as India. The obstacles like labor costs and lack of enduring relationships with suppliers were also revealed as the challenges in the LC implementation in Zimbabwe, Ethiopian and Jordanian organizations in the studies conducted by Moyo and Chigara (2021) and Al Balkhy et al. (2021), respectively. Moyo and Chigara (2021) revealed that the most significant impediments to implementing LC were integration, performance, human capital management and quality management constraints. There were no significant variations in perception depending on gender, job title or degree of education when all barriers were evaluated combined, indicating universal agreement on the hurdles. When individual hurdles were explored, it was shown that architects and individuals with certificates or degrees lacked the necessary managerial abilities for LC implementation. A questionnaire with 30 barriers was used in Jordanian research by Al Balkhy et al. (2021) to identify impediments to adopting LC concepts in the construction sector. A total of 326 questionnaires were completed by contractors, consultants and owners. The challenges were first classified into three categories, but factor analysis separated them into two: internal environment-related and noninternal environment-related, which comprised labor, material and organizational structure challenges. Owners and consultants in Jordan’s construction sector regarded “lack of support and commitment from senior management” as the most important hurdle to implementing lean concepts, while contractors ranked it third. Numerous studies have found that senior management support is critical for the effective implementation of lean methods. This view may be influenced by the prevalence of top-down management in Jordanian construction, as well as the frequency of family-run businesses where the owner lacks business administration knowledge.

“Avoid delegating decision-making and responsibility to people outside of top management by centralizing decision-making (IP5),” “Lack of stakeholder interaction and transparency (M6),” “Labour views lean as too complex (L4)” and “Lack of backing and dedication from high management (M5)” are the barriers ranked 11th, 12th, 13th and 14th in the overall ranking. In construction organizations, the decision-making and making of the final call are mostly confined to the top management. This limits the organizations to benefit from the diversified views of workers in different levels and departments. Lack of acceptance of different perspectives on important issues, such as the incorporation of LC management practices in organizations, results in the non-adoption or implementation of newer and potentially better ways of operations in supply chains. The role of management is extremely critical in the possibility of implementing new technology or a new framework of operations in any organization. When the stakeholders are not consulted in the major decisions about the betterment of organizations, then this lack of transparency will result in biased judgments with a lot of room for incorrect and inappropriate decisions that can hamper the reputation and productivity of organizations. The higher management must take into account the fact that it is their responsibility to ensure the workers are properly educated and made aware of the benefits provided by adopting LC practices at the organizational level as well as the individual level. The crucial role played by the top management in influencing the decision and finally implementing new technology and framework in supply chains was also highlighted by Al Balkhy et al. (2021), Shaqour (2022) and Nwaki et al. (2021). Shaqour (2022) suggested that the Egyptian construction industry confronts managerial issues and is seen as a waste-generating business that harms the economy and the environment. Implementing LC methods is regarded as critical to enhancing performance and lowering waste. Data was gathered from 162 experienced building experts in Egypt’s future capital city. The results demonstrated that using lean tools in construction increases time, cost, quality, safety, the environment and relationships, as well as the value of resources and money. Nevertheless, respondents’ awareness of lean ideas was lower than their degree of adoption, and the main advantages of lean adoption were economic. The primary advantages of implementing lean tools were increased process control, planning, material storage control and time savings.

“Lack of training for employees (L3)” and “Organizational structures that are hierarchical or inappropriate (IP4)” account for the barriers to the implementation of LC practices in construction organizations owing to the lack of dedicated initiatives by the senior management construction organizations in providing formal training to the employees regarding the implementation of LC practices. Since the organizational levels are hierarchical in structure, there is a lack of information sharing and coordination between members at different levels of the corporate hierarchy. This leads to distorted and unequally distributed information flow, thereby accentuating the disharmony in the overall arrangement of the availability of correct and timely information among all the stakeholders.

“Only occasionally using off-site construction methods and not prefabricating (IR3),” “Uncertainty in the supply chain (JIT1),” “Project participants' unwillingness to share risks (IK5),” “Employee reluctance to change and anxiety about unfamiliar procedures (L1)” and “Inadequate lean awareness and comprehension (M7)” are some of the barriers that indicate the importance of the involvement of senior management in the implementation of new technology or a new framework of operations such as LC in supply chains. Most of the construction projects undertaken in the Indian landscape involve on-site activities, thus limiting the possibility of using off-site construction methods. LC is, therefore, not as easy to implement as it will require a complete shift from the mode of operation from on-site to off-site construction with seemingly uncertain outcomes. Employees’ resistance to change is a major hurdle in the process of embracing new technology. This requires a thorough investigation into the issues of the workforce and an understanding of the inhibitions that impede the acceptance of LC practices in supply chain management. This problem was also highlighted in the study conducted by Lohne et al. (2022) in the Norwegian AEC industry. Using a narrative-based qualitative method, this research examines the inception and effect of LC on the Norwegian AEC sector. The paradigm shift idea and empirical knowledge in the form of narratives are employed. The implementation of LC ideas and technologies in Norway has been reliant on promoters, and the involvement of active promoters like Dr Glenn Ballard is regarded as critical to its success. Cultural characteristics of the Norwegian AEC sector, such as a high level of trust and bottom-up organizations with low layers of hierarchy, are highlighted as critical success factors. These important features might be applied in various situations.

“Lack of quality planning (IP3),” “Inadequate trash identification and management (M8),” “Results are not immediate, frequently only partially evident, and may not meet high expectations (IK1),” “Lack of government support (IR6),” “High inflation rates (JIT2)” and “Results are not immediate, frequently only partially evident, and may not meet high expectations of management (IK2)” are some of the barriers that are placed in a relatively lower position vis-à-vis other higher ranked barriers. Nonetheless, these barriers require equal and careful attention to assess the role played by them in the implementation of LC practices in construction supply chains. Construction sites are very unpredictable in comparison to the steady conditions in factories, where only the material moving through the workstations in factories needs to be planned and monitored. As the project advances, construction teams must manage not only the flow of supplies but also the spatial flow of their workstations, adding complexity. Implementing visual control and layout planning strategies is challenging due to the workplace’s constant change. It is extremely challenging to conduct benchmarking and improvement efforts in decentralized production. On building sites and during preconstruction, there is an unmanageable amount of waste due to all of these causes of variation. The goal of LC principles is to assist teams in locating and removing sources of variation to lessen any unfavorable effects (Prayuda et al., 2021). Traditionally, construction management techniques have focused on streamlining tasks at the individual level, such as attempting to cut down on the number of times roofers need to install a new roof. On the other hand, concentrating simply on enhancing particular processes may not benefit the system as a whole and may even unintentionally increase waste. The fact is that the great majority of waste produced by any organizational system occurs during handoffs between tasks or steps in the process. Lean challenges all stakeholders to develop and implement better methods of managing the entire construction process, from beginning to end, as construction crews can only optimize their operations for quicker, more reliable delivery through a holistic understanding of how materials and information flow through the process. Financial issues were hindered by inflation brought on by unstable construction market conditions, higher building costs and low professional salaries (Olatunji, 2008). The absence of rewards or incentive programs in a building project was another factor contributing to the barriers to LC's widespread deployment. To ensure that the building project is completed successfully, sufficient finance sources are required. By including a contingency cost, you may protect your construction project against price increases caused by unstable construction markets.

5.1 Practical and societal implications

The major implications of this study to the industry practitioners and society can be enlisted as follows. The main barrier to the implementation of LC in Indian construction organizations is the strict procurement requirements and approvals from the concerned authorities. This finding should be taken as a recommendation to the government and other stakeholders to cooperate in the implementation of LC practices by making the process of getting approvals for procurement and other necessary documentation, such as licenses to initiate LC practices in the construction organizations. The single most important step that should be taken by the organizations in the direction of establishing an LC framework is to first recognize the wastes emanating from the operations. Subsequently, devising methods to identify and quantify it helps the workers and the management to completely understand the “wastes” released from construction supply chain activities.

The role of government and higher management has surfaced as one of the major aspects in the successful implementation of LC practices in the construction sector of India. It is highly recommended that state and national government bodies pass legislation in the form of contracts that include lean-based approaches at various stages in the supply chain. This will foster a sense of trust in the management and the workers involved with the construction organizations. Additionally, the government can also sponsor and provide frameworks in collaboration with industry giants in the field of lean principles and management to train people in lean thinking and educate them on the benefits offered in the context of enhancing productivity in the construction organizations. It is important to imbibe the LC philosophy throughout the organization’s supply chain ecosystem. The step that can be taken in this regard is in the form of issuing directions to contractors and subcontractors to publish LC reports on the savings resulting from adopting lean approaches such as reducing waste and boosting efficiency, LPS and BIM can enhance workflow in construction projects.

LC philosophy should be perceived as a cultural norm that, when adopted throughout the supply chain, will encourage contractors and other participants to experience the benefits and eventually implement lean thinking in every aspect conceivable in the construction supply chain ecosystem. As mentioned above, LC implementation has to be carefully understood and practiced right from the very top of the management hierarchy that will gradually filter down to all levels of management, thereby attaining a holistic adoption of lean thinking in construction organizations.

The main challenge in the implementation of LC in organizations is to get the supervisors and workers on board. This is primarily due to resistance to change, as was mentioned in the discussion section. The resistance to change stems from fear, complacency and cynicism. Change is always a painful process that comes from a deeply rooted fear of failure and involves a lot of determination and mental makeup to accomplish. This is the only way an organization can grow. On many occasions, people are aware of the benefits brought by LC practices intellectually, but when they are confronted with the process of getting into that state, they balk away. Most often, people will resist change just because they do not want to break the inertia, especially when it involves them adjusting to the new processes. They think that it is futile to learn and adopt new forms of technologies and LC practices when the traditional methods are not posing plenty of problems. Managers at every level might become cynical after failed change initiatives and may silently reject any new attempts for change. Buy-in is crucial for all levels of management, but it is particularly important for those that work daily closest to the employees. Giving concrete evidence makes it simple for every management to grasp how the approach promotes success. Setting the stage, giving background information, case studies and providing clarity all contribute significantly to adoption and successful implementation. Resistance can take many different forms, and if none of them are dealt with, they can eventually contaminate the entire team with false notions resulting in damage to the organization as a whole. The problems, complaints or arguments related to the implementation or even the idea of LC philosophy should be heard and addressed with utmost sincerity. It is a challenge that management has to accept, maintain the lines of communication open, provide advice and highlight advantages to persuade resistors to support the LC philosophy.

6. Conclusions, limitations and scope of future opportunities

LC is developing and proving to be beneficial in many locations throughout the world, so it is important to research the obstacles that its adoption encounters, particularly in nations where this philosophy is not widely known or formally applied. This study takes India as a case to examine the most significant impediments using the perspectives of several industry participants, including construction managers, academicians and research scholars. The results revealed the most significant barriers to adopting lean in the Indian construction sector belong to the categories “Management” followed by “Inadequate resources,” “Inappropriate planning,” “labor,” “Inadequate knowledge” and “Just in time.” The major obstacles listed under each of the categories include “Strict procurement requirements and approval,” “Lack of client focus and poor comprehension of customer needs,” “Limited use of design-build procurement,” “Poor management and lack of leadership abilities,” “Change management resistance,” “Poor delivery performance and late delivery of materials,” “Absence of long-term thinking and planning,” “Lack of leadership for quality,” “Additional labour cost,” “Lack of enduring connections with suppliers,” “Avoid delegating decision-making and responsibility to people outside of top management by centralizing decision-making,” “Lack of stakeholder interaction and transparency,” “Labour views lean as too complex,” “Lack of backing and dedication from high management,” “Lack of training for employees,” “Organizational structures that are hierarchical or inappropriate,” “Only occasionally using off-site construction methods and not prefabricating,” “Uncertainty in supply chain,” “Project participants’ unwillingness to share risks” and “Employee reluctance to change and anxiety about unfamiliar procedures.”

Therefore, the following techniques might be suggested to increase the adoption of LC in India: first and foremost, the management of construction firms must take the initiative in the transition and adopt new methods that can improve the performance and efficacy of the sector. Second, the Indian Government, universities and organizations should assist in the spread of knowledge regarding lean building. More studies may be published, new training facilities or programs may be built and new formal education workshops and university programs may be created to achieve this. Thirdly, management should offer training programs to encourage the participation and inventiveness of workers at all levels.

The study’s major drawback is that it looked at LC adoption generally. The limitations of the current study were not examined concerning any particular lean tool or technique (e.g. LPS or BIM). Future research is therefore required to examine the use of and obstacles to one or more particular tools. Also, future studies can examine the factors influencing lean adoption by including more participants from diverse areas to fully express the underlying causes of the issues. The study used purposive sampling for the selection of respondents. Purposive sampling, however, can have a variety of disadvantages. Purposive sampling can be biased, much like other nonprobability sampling strategies. Results have a high risk of bias because the selection of the sample units relies on the researcher’s subjective judgment.

The study can be used by construction organizations as a reference framework to assess the adoption of LC, to learn more about the elements required for implementation or to research the difficulties encountered throughout implementation. Therefore, these businesses can create plans that will enhance the acceptance and use of lean ideology.

Figures

Hierarchy structure of critical challenges to the adoption of lean construction

Figure 1.

Hierarchy structure of critical challenges to the adoption of lean construction

Flowchart of the proposed research work

Figure 2.

Flowchart of the proposed research work

Weights of main category barriers

Figure 3.

Weights of main category barriers

Weights of managerial subcategory barriers

Figure 4.

Weights of managerial subcategory barriers

Weights of inadequate knowledge subcategory barriers

Figure 5.

Weights of inadequate knowledge subcategory barriers

Weights of improper planning subcategory barriers

Figure 6.

Weights of improper planning subcategory barriers

Weights of labor subcategory barriers

Figure 7.

Weights of labor subcategory barriers

Weights of inadequate resources subcategory barriers

Figure 8.

Weights of inadequate resources subcategory barriers

Weights of JIT subcategory barriers

Figure 9.

Weights of JIT subcategory barriers

Global weight of all subcategory barriers

Figure 10.

Global weight of all subcategory barriers

Major barriers in the LC implementation

Lean concept Barriers to lean construction References
Barriers related to TQM and leadership Lack of client focus and poor comprehension of customer needs Nwaki et al. (2021), Al Balkhy et al. (2021), Marhani et al. (2021)
Change management resistance Thakkar and Shah (2021), Huaman-Orosco and Erazo-Rondinel (2021), Lohne et al. (2022)
Lack of backing and dedication from high management Al Balkhy et al. (2021), Evans et al. (2021), Thakkar and Shah (2021)
Lack of stakeholder interaction and transparency Nwaki et al. (2021), Enshassi et al. (2021), Evans et al. (2021)
Inadequate lean awareness and comprehension Moyo and Chigara (2021), Abu Aisheh et al. (2021), Al Balkhy et al. (2021)
Results are not immediate, frequently only partially evident and may not meet high expectations Thakkar and Shah (2021), Huaman-Orosco and Erazo-Rondinel (2021), Lohne et al. (2022)
Results are not immediate, frequently only partially evident and may not Moyo and Chigara (2021), Abu Aisheh et al. (2021), Al Balkhy et al. (2021)
Meet high expectations of management Shang and Oraee (2022), Huaman-Orosco and Erazo-Rondinel (2021), Asadian et al. (2023)
Lean may result in increased costs or implementation costs Wajahat (2022), Toriola-Coker et al. (2021), Mano et al. (2023)
Inaccurate and incomplete designs, as well as a failure to apply the design principle of constructability Abu Aisheh et al. (2021), Asadian et al. (2023), Zhan et al. (2022)
Project participants’ unwillingness to share risks Al Balkhy et al. (2021), Ghassemi and Becerik-Gerber (2011), Nwaki et al. (2021)
Absence of long-term thinking and planning Shang and Oraee (2022), Huaman-Orosco and Erazo-Rondinel (2021), Asadian et al. (2023)
Absence of long-term philosophy and planning Shang and Oraee (2022), Huaman-Orosco and Erazo-Rondinel (2021), Asadian et al. (2023)
Lack of quality planning Huaman-Orosco and Erazo-Rondinel (2021), Asadian et al. (2023), Abu Aisheh et al. (2021)
Poor management and lack of leadership abilities Moyo and Chigara (2021), Abu Aisheh et al. (2021), Al Balkhy et al. (2021)
Poor professional pay, a lack of incentives and a lack of desire Marhani et al. (2021), Hettiaarachchige et al. (2022)
Insufficient dissemination of the knowledge required to start a learning cycle and take remedial action Abu Aisheh et al. (2021), Asadian et al. (2023), Zhan et al. (2022)
Organizational structures that are hierarchical or inappropriate Asadian et al. (2023), Le and Nguyen (2021), Kabirifar et al. (2021)
Avoid delegating decision-making and responsibility to people outside of top management by centralizing decision-making Huaman-Orosco and Erazo-Rondinel (2021), Le and Nguyen (2021), Abu Aisheh et al. (2021)
Inadequate trash identification and management Bajjou and Chafi (2020), Prayuda et al. (2021), Gupta et al. (2020)
Barriers related to labor Employee reluctance to change and anxiety about unfamiliar procedures Al Balkhy et al. (2021), Ghassemi and Becerik-Gerber (2011), Nwaki et al. (2021)
Unskilled labor and the site foreman’s low level of education Al Balkhy et al. (2021), Ghassemi and Becerik-Gerber (2011), Rengarajan et al. (2020)
Lack of training for employees Moyo and Chigara (2021), Abu Aisheh et al. (2021), Al Balkhy et al. (2021)
Labor views lean as too complex Mano et al. (2023), Evans et al. (2021), Wajahat (2022)
Additional labor cost Al Balkhy et al. (2021), Abu Aisheh et al. (2021), Asadian et al. (2023)
High employee turnover Shang and Oraee (2022), Huaman-Orosco and Erazo-Rondinel (2021), Asadian et al. (2023)
Barriers related to materials Poor delivery performance and late delivery of materials Marhani et al. (2021), Hettiaarachchige et al. (2022)
Lack of enduring connections with suppliers Thakkar and Shah (2021), Huaman-Orosco and Erazo-Rondinel (2021), Lohne et al. (2022)
Only occasionally using off-site construction methods and not prefabricating Moyo and Chigara (2021), Abu Aisheh et al. (2021), Al Balkhy et al. (2021)
Subdivision of the construction industry/so many stakeholders participated in the project, especially subcontractors and suppliers Nwaki et al. (2021), Enshassi et al. (2021), Evans et al. (2021)
Limited use of design-build procurement Xing et al. (2021), Maradzano et al. (2019), Bajjou and Chafi (2020)
Strict procurement requirements and approval Wajahat (2022), Toriola-Coker et al. (2021), Mano et al. (2023)
Lack of government support Moyo and Chigara (2021), Abu Aisheh et al. (2021), Al Balkhy et al. (2021)
Barriers to JIT Uncertainty in supply chain Tzortzopoulos et al. (2020), Tezel et al. (2020), Aslam et al. (2022)
High inflation rates Abu Aisheh et al. (2021), Asadian et al. (2023), Zhan et al. (2022)
Poor infrastructure in transportation and communications Ivina and Olsson (2020), Al Balkhy et al. (2021)
Discounts on prices of large amounts of materials Yuan et al. (2020), Monyane et al. (2019)

Source: Authors’ own

Random consistency index (RCI) (adopted from Saaty, 1985)

n 1 2 3 4 5 6 7 8 9 10
RCI 0 0 0.58 0.9 1.12 1.24 1.32 1.41 1.45 1.49
Generally, if CR = <0% (0.1) Consistent and acceptable
>10% (0.1) Inconsistent and revised
Generally, if CR = <10% (0.1) Consistent and acceptable
>10% (0.1) Inconsistent and revised
Notes:

Dyer and Forman (1992), Madaan and Mangla (2015); Where n = number of components

Source: Authors’ own

Summary of demographic details

S. No. Profile Classification Count Percentage (%)
1 Respondents Male 14 82.35
Female 3 17.65
Total 17 100
2 Age Under 25 2 11.76
25–35 6 35.29
36–45 4 23.52
46–55 2 11.76
56 and above 3 17.65
Total 17 100
3 Work experience 0–5 4 23.52
6–10 5 29.41
11–15 5 29.41
16 and above 3 17.65
Total 17 100
4 Designation General manager 1 5.88
Section manager 4 23.52
Middle level manager 8 47.05
Skilled worker 4 23.52
Total 17 100
5 Education level PG and above 2 11.76
BTech 6 35.29
Diploma 5 29.41
ITI and any other 4 23.52
Total 17 100

Source: Authors’ own

Pair-wise comparison scale

Degree of preference Effect of barriers
1 Equal importance
3 Moderate importance of one over another
5 Essential or strong importance
7 Very strong importance
9 Extreme/absolute importance
2, 4, 6, 8 Intermediate values between two adjacent judgments

Source: Authors’ own

Pair-wise comparison matrix for the main category barriers

S. no. Barriers categories M IK IP L IR JIT
1 M 1 6 4 2 2 9
2 IK 1/6 1 1/2 1/4 1/5 2
3 IP 1/4 2 1 2 1/4 5
4 L 1/2 4 1/2 1 1/4 2
5 IR 1 5 4 4 1 9
6 JIT 1/9 1/2 1/5 1/2 1/9 1
SUM 2.528 18.5 10.2 9.75 3.811 28

Source: Authors’ own

Normalized and priority weights for the main category barriers

S. no. Barriers categories M IK IP L IR JIT Sum Priority weights (W)
1 M 0.396 0.324 0.392 0.205 0.525 0.321 2.163 0.361
2 IK 0.066 0.054 0.049 0.026 0.052 0.071 0.319 0.053
3 IP 0.099 0.108 0.098 0.205 0.066 0.179 0.754 0.126
4 L 0.198 0.216 0.049 0.103 0.066 0.071 0.703 0.117
5 IR 0.198 0.270 0.392 0.410 0.262 0.321 1.854 0.309
6 JIT 0.044 0.027 0.020 0.051 0.029 0.036 0.207 0.034

Source: Authors’ own

Pair-wise comparison matrix for managerial (M) category barriers

S. no. Barriers subcategory (M) M1 M2 M3 M4 M5 M6 M7 M8
1 M1 1 3 2 2 3 2 2 9
2 M2 1/3 1 2 2 4 4 3 3
3 M3 1/2 ½ 1 3 2 2 5 4
4 M4 1/2 1/2 1/3 1 2 2 4 3
5 M5 1/3 1/4 1/2 1/2 1 1 2 4
6 M6 1/2 1/4 1/2 1/2 1 1 4 2
7 M7 1/4 1/3 1/5 1/4 1/2 1/4 1 1
8 M8 1/9 1/3 1/4 1/3 1/4 1/2 1 1
SUM 3.53 6.16 6.78 9.58 13.75 12.75 22 27

Source: Authors’ own

Pair-wise comparison matrix for inadequate knowledge (IK) category barriers

S. no. Barriers subcategory (IK) IK1 IK2 IK3 IK4 IK5 IK6 IK7
1 IK1 1 2 3 5 1/2 4 6
2 IK2 1/2 1 3 2 1/3 3 6
3 IK3 1/3 1/3 1 3 1/2 3 3
4 IK4 1/5 1/2 1/3 1 1/7 1/2 3
5 IK5 2 3 2 7 1 9 7
6 IK6 1/4 1/3 1/3 2 1/9 1 4
7 IK7 1/6 1/6 1/3 1/3 1/7 1/4 1
SUM 4.45 7.33 10 20.33 2.73 20.75 30

Source: Authors’ own

Pair-wise comparison matrix for improper planning (IP) category barriers

S. no. Barriers subcategory (IP) IP1 IP2 IP3 IP4 IP5
1 IP1 1 4 5 3 2
2 IP2 1/4 1 1/4 1/4 1/8
3 IP3 1/5 4 1 1/2 1/2
4 IP4 1/3 4 2 1 1/2
5 IP5 1/2 8 2 2 1
SUM 2.28 21 10.25 6.75 4.125

Source: Authors’ own

Pair-wise comparison matrix for labor (L) category barriers

S. no. Barriers subcategory (L) L1 L2 L3 L4 L5 L6
1 L1 1 3 1/2 1/2 1/2 9
2 L2 1/3 1 1/4 1/7 0.11 2
3 L3 2 4 1 1/3 1/2 9
4 L4 2 7 3 1 1/3 9
5 L5 2 9 2 3 1 9
6 L6 1/9 1/2 1/9 1/9 1/9 1
SUM 7.44 24.5 6.86 5.087 2.556 39

Source: Authors’ own

Pair-wise comparison matrix for inadequate resources (IR) category barriers

S. no. Barriers subcategory (IR) IR1 IR2 IR3 IR4 IR5 IR6
1 IR1 1 2 4 1/2 1/2 3
2 IR2 1/2 1 2 1/2 1/4 7
3 IR3 1/4 1/2 1 1/3 1/5 2
4 IR4 2 2 3 1 1/2 9
5 IR5 2 4 5 2 1 7
6 IR6 1/3 1/7 1/2 1/9 1/7 1
SUM 6.08 9.64 15.5 4.44 2.59 29

Source: Authors’ own

Pair-wise comparison matrix for just-in-time (JIT) category barriers

S. no. Barriers subcategory (JIT) JIT1 JIT2 JIT3 JIT4
1 JIT1 1 2 9 7
2 JIT2 1/2 1 4 7
3 JIT3 1/9 1/4 1 2
4 JIT4 1/7 1/7 1/2 1
SUM 1.75 3.39 14.5 17

Source: Authors’ own

Normalized and priority weights for managerial (M) category barriers

S. no. Barriers subcategory (M) M1 M2 M3 M4 M5 M6 M7 M8 SUM Priority weights
1 M1 0.283 0.486 0.295 0.209 0.218 0.157 0.091 0.333 2.073 0.259
2 M2 0.094 0.162 0.295 0.209 0.291 0.314 0.136 0.111 1.612 0.202
3 M3 0.142 0.081 0.147 0.313 0.145 0.157 0.227 0.148 1.361 0.170
4 M4 0.142 0.081 0.049 0.104 0.145 0.157 0.182 0.111 0.972 0.121
5 M5 0.094 0.041 0.074 0.052 0.073 0.078 0.091 0.148 0.651 0.081
6 M6 0.142 0.041 0.074 0.052 0.073 0.078 0.182 0.074 0.715 0.089
7 M7 0.071 0.054 0.029 0.026 0.036 0.020 0.045 0.037 0.319 0.040
8 M8 0.031 0.054 0.037 0.035 0.018 0.039 0.045 0.037 0.297 0.037
Note:

Eigenvalue maximum, λmax = 8.858, CI = 0.122 and CR = 0.0869

Source: Authors’ own

Normalized and priority weights for inadequate knowledge (IK) category barriers

S. no. Barriers subcategory (IK) IK1 IK2 IK3 IK4 IK5 IK6 IK7 SUM Priority weights
1 IK1 0.225 0.273 0.300 0.246 0.183 0.193 0.200 1.619 0.231
2 IK2 0.112 0.136 0.300 0.098 0.122 0.145 0.200 1.114 0.159
3 IK3 0.075 0.045 0.100 0.148 0.183 0.145 0.100 0.796 0.114
4 IK4 0.045 0.068 0.033 0.049 0.052 0.024 0.100 0.372 0.053
5 IK5 0.449 0.409 0.200 0.344 0.366 0.434 0.233 2.436 0.348
6 IK6 0.056 0.045 0.033 0.098 0.041 0.048 0.133 0.456 0.065
7 IK7 0.037 0.023 0.033 0.016 0.052 0.012 0.033 0.208 0.030
Note:

Eigenvalue maximum, λmax = 7.70, CI = 0.116 and CR = 0.0883

Source: Authors’ own

Normalized and priority weights for improper planning (IP) category barriers

S. no. Barriers subcategory (IP) IP1 IP2 IP3 IP4 IP5 SUM Priority weights
1 IP1 0.438 0.190 0.488 0.444 0.485 2.046 0.409
2 IP2 0.109 0.048 0.024 0.037 0.030 0.249 0.050
3 IP3 0.088 0.190 0.098 0.074 0.121 0.571 0.114
4 IP4 0.146 0.190 0.195 0.148 0.121 0.801 0.160
5 IP5 0.219 0.381 0.195 0.296 0.242 1.334 0.267
Note:

Eigenvalue maximum, λmax = 5.361, CI = 0.072 and CR = 0.064

Source: Authors’ own

Normalized and priority weights for labor (L) category barriers

S. no. Barriers subcategory (L) L1 L2 L3 L4 L5 L6 SUM Priority weights
1 L1 0.134 0.122 0.073 0.098 0.196 0.231 0.854 0.142
2 L2 0.045 0.041 0.036 0.028 0.043 0.051 0.245 0.041
3 L3 0.269 0.163 0.146 0.066 0.196 0.231 1.070 0.178
4 L4 0.269 0.286 0.437 0.197 0.130 0.231 1.549 0.258
5 L5 0.269 0.367 0.291 0.590 0.391 0.231 2.139 0.357
6 L6 0.015 0.020 0.016 0.022 0.043 0.026 0.142 0.024
Note:

Eigenvalue maximum, λmax = 6.60, CI = 0.120 and CR = 0.096

Source: Authors’ own

Normalized and priority weights for inadequate resources (IR) category barriers

S. no. Barriers subcategory (IR) IR1 IR2 IR3 IR4 IR5 IR6 SUM Priority weights
1 IR1 0.164 0.207 0.258 0.113 0.193 0.103 1.039 0.173
2 IR2 0.082 0.104 0.129 0.113 0.096 0.241 0.765 0.128
3 IR3 0.041 0.052 0.065 0.075 0.077 0.069 0.379 0.063
4 IR4 0.329 0.207 0.194 0.225 0.193 0.310 1.458 0.243
5 IR5 0.329 0.415 0.323 0.450 0.386 0.241 2.143 0.357
6 IR6 0.055 0.015 0.032 0.025 0.055 0.034 0.216 0.036
Note:

Eigenvalue maximum, λmax = 6.348, CI = 0.069 and CR = 0.056

Source: Authors’ own

Normalized and priority weights for just-in-time (JIT) category barriers

S. no. Barriers subcategory (JIT) JIT1 JIT2 JIT3 JIT4 SUM Priority weights
1 JIT1 0.570 0.589 0.621 0.412 2.192 0.548
2 JIT2 0.285 0.295 0.276 0.412 1.267 0.317
3 JIT3 0.063 0.074 0.069 0.118 0.324 0.081
4 JIT4 0.081 0.042 0.034 0.059 0.217 0.054
Note:

Eigenvalue maximum, λmax = 4.177, CI = 0.059 and CR = 0.065

Source: Authors’ own

Overall weights and rankings of all subcategory barriers

S. no. Barriers Categories of barriers (local weights) CI CR
Managerial
(M) (0.361)
Inadequate
knowledge
(IK) (0.053)
Inappropriate
planning (IP)
(0.126)
Labor (L)
(0.117)
Inadequate
resources
(IR) (0.309)
Just in time
(JIT) (0.034)
Global
weights
Rank
1 Lack of client focus and poor comprehension of customer needs (M1) 0.259 0.122 0.0869 0.0935 2
2 Poor management and lack of leadership abilities (M2) 0.202 0.0729 4
3 Change management resistance (M3) 0.170 0.0614 5
4 Lack of leadership for quality (M4) 0.121 0.0437 8
5 Lack of backing and dedication from high management (M5) 0.081 0.0292 14
6 Lack of stakeholder interaction and transparency (M6) 0.089 0.0321 12
7 Inadequate lean awareness and comprehension (M7) 0.040 0.0144 21
8 Inadequate trash identification and management (M8) 0.037 0.0134 23
9 The results are not fast and often only partially visible, and may not conform with high (IK1) 0.231 0.116 0.0883 0.0122 24
10 Results are not immediate, frequently only partially evident and may not meet high expectations of management (IK2) 0.159 0.0084 27
11 Lean may result in increased costs or implementation costs (IK3) 0.114 0.0060 29
12 Inaccurate and incomplete designs, as well as a failure to apply the design principle constructability (IK4) 0.053 0.0028 32
13 Project participants’ unwillingness to share risks (IK5) 0.348 0.0184 19
14 Poor professional pay, a lack of incentives and a lack of desire (IK6) 0.065 0.0034 31
15 Insufficient dissemination of the knowledge required to start a learning cycle and take remedial action (IK7) 0.030 0.0016 36
16 Absence of long-term thinking and planning (IP1) 0.409 0.072 0.064 0.0515 7
17 Lack of a long-term philosophy and planning (IP2) 0.050 0.0063 28
18 Lack of quality planning (IP3) 0.114 0.0144 22
19 Organizational structures that are hierarchical or inappropriate (IP4) 0.160 0.0202 16
20 Avoid delegating decision-making and responsibility to people outside of top management by centralizing decision-making (IP5) 0.267 0.0336 11
21 Employee reluctance to change and anxiety about unfamiliar procedures (L1) 0.142 0.120 0.096 0.0166 20
22 Unskilled labor and the site foreman’s low level of education (L2) 0.041 0.0048 30
23 Lack of training for employees (L3) 0.178 0.0208 15
24 Labor views lean as too complex (L4) 0.258 0.0302 13
25 Additional labor cost (L5) 0.357 0.0418 9
26 High employee turnover (L6) 0.024 0.0028 33
27 Poor delivery performance and late delivery of materials (IR1) 0.173 0.069 0.056 0.0535 6
28 Lack of enduring connections with suppliers (IR2) 0.128 0.0396 10
29 Only occasionally using off-site construction methods and not prefabricating (IR3) 0.063 0.0195 17
30 Limited use of design-build procurement (IR4) 0.243 0.0751 3
31 Strict procurement requirements and approval (IR5) 0.357 0.1103 1
32 Lack of government support (IR6) 0.036 0.0111 25
33 Uncertainty in the supply chain (JIT1) 0.548 0.059 0.065 0.0186 18
34 High inflation rates (JIT2) 0.317 0.0108 26
35 Poor infrastructure in transportation and communications (JIT3) 0.081 0.0028 34
36 Discounts on prices of large amounts of materials (JIT4) 0.054 0.0018 35

Source: Authors’ own

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Ballard, G. and Howell, G. (1997), “Implementing lean construction: improving downstream performance”, Lean Construction, CRC Press, FL, pp. 111-125.

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Oladiran, O. and Kilanko, A. (2022), “Investigating the awareness and barriers of just-in-time concrete delivery on construction projects”, Ethiopian Journal of Environmental Studies and Management, Vol. 15 No. 1, pp. 13-21.

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Acknowledgements

The authors would like to thank the three anonymous reviewers, Associate Editor, and Editor-in-Chief for their valuable comments and suggestions that helped to improve the manuscript.

Funding: The authors received no financial support for the research, authorship and/or publication of this article.

Declaration of conflicting interests: The authors declared no potential conflicts of interest with respect to the research, authorship and/or publication of this article.

Corresponding author

Vimal Kumar can be contacted at: vimaljss91@gmail.com

About the authors

Arpit Singh is a Lecturer of Information Systems and Analytics at Jindal Global Business School (JGBS) at O. P. Jindal Global University (Institute of Eminence), India. He has rich industrial experience in the Investment banking and Private Equity Research sectors. He holds a PhD in Industrial and Management Engineering from the Indian Institute of Technology (IIT) Kanpur Uttar Pradesh and an MTech in Operations Research (Gold Medalist) from the National Institute of Technology (NIT) Durgapur, West Bengal, and a BTech in Electrical and Electronics Engineering (First Class) from Dr KN Modi Foundation, Ghaziabad, Uttar Pradesh, India. Arpit’s research interest is in the areas of decision-making under uncertainty, big data analytics, statistical applications in business problems and adoption of new technologies in the business domain. His work on these research areas has been published in multiple international peer-reviewed (ABDC/ABS ranked) journals and top international conferences on advanced computing and intelligent engineering, including Safety Science (Elsevier), International Journal of Quality and Reliability Management (Emerald) and Behaviour and Information Technology (Taylor and Francis).

Vimal Kumar is an Assistant Professor at Chaoyang University of Technology, Taichung, Taiwan (R.O.C.) in the Department of Information Management. He completed his Postdoctoral Research at Chaoyang University of Technology, Taichung, Taiwan (R.O.C.) in the Department of Business Administration in the domain of Technological Innovation and Patent Analysis. He has served as an Assistant Professor under TEQIP III, an initiative of MHRD, Govt. of India at AEC Guwahati in the Department of Industrial and Production Engineering. Prior to joining AEC, he served as an Assistant Professor at MANIT, Bhopal, in the Department of Management Studies and also served as Visiting Faculty at IMT Nagpur. He obtained his PhD in the domain of TQM and Manufacturing Strategy in the year 2017 and Master’s in Supply Chain Management from the Department of Industrial and Management Engineering, IIT Kanpur, in the year 2012. He graduated (BTech) in Manufacturing Technology from JSS Academy of Technical Education Noida in the year 2010. He has published 51 articles in reputable international journals, five book chapters and presented 25 papers at international conferences. His research paper entitled “Time Table Scheduling for Educational Sector on an E-Governance Platform: A Solution from an Analytics Company” has been selected for best paper award at the International Conference on Industrial Engineering and Operations Management (IEOM) held in Bandung, Indonesia, March 6–8, 2018. He was also invited to serve as session chair of session on “Energy Related Awareness” held on 19th September 2018 at iCAST 2018, IEEE International Conference on Awareness Science and Technology and “Lean Six Sigma” at the International Conference on Industrial Engineering and Operations Management (IEOM-2018) at Bandung, Indonesia and “Quality Control and Management” at the International Conference on Industrial Engineering and Operations Management (IEOM-2016) at Kuala Lumpur, Malaysia. He has been appointed as an editorial board member in the IEEE-TEMS Journal from January 1, 2022, to December 31, 2024. He is a contributing author in international journals, including Journal of Cleaner Production, Journal of Informetrics, Technology in Society, CLSCN, Supply Chain Management: An International Journal, IJOA, JEEE, BSE, TFSC, JKM, CSREM, IJPPM, IJQRM, IJPMB, IJPQM, IJBIS, AJOR, The TQM Journal and Benchmarking: An International Journal, etc., and also a guest reviewer of a reputable journal like IEEE-TEMS, JOI, IJPPM, IJQRM, TQM and Business Excellence, The TQM Journal, Benchmarking: An International Journal, Journal of Asia Business Studies and JSIT.

Ankesh Mittal is working as an Assistant Professor at the Department of Mechanical Engineering, Asra College of Engineering and Technology, Sangrur (Punjab), India. He did PhD in the Department of Mechanical Engineering at Sant Longowal Institute of Engineering and Technology (Deemed University), Longowal, Sangrur (Punjab), India-148106. He can be contacted at ankeshmittal07@gmail.com

Pratima Verma is currently working as an Assistant Professor in the Department of Strategic Management at the Indian Institute of Management Kozhikode, India and associated with Chaoyang University of Technology, Taichung, Taiwan. She has worked as an Assistant Professor in the Strategic Management area at the Indian Institute of Management (IIM) Bodh Gaya, India. Prior to joining IIM, she was a Postdoctoral Fellow in the Department of Management Studies at IIT Madras, India. She obtained her PhD from IIT Kanpur, where she worked in the domain of Strategic Management and Horizontal Strategy in the Department of Industrial and Management Engineering in the year 2017. She received her MBA in Finance and Human Resource Management from BBDNITM, Uttar Pradesh Technical University – Lucknow, India, in the year 2011. She completed her graduation (BTech) in Information Technology in the year 2009 from BBNITM, Lucknow. She has one year of experience in teaching. She was also awarded JRF/SRF in the area of human resource management. She has published 28 articles in reputable international journals, three book chapters and presented 15 papers at international conferences. Her research paper entitled “Time Table Scheduling for Educational Sector on an E-Governance Platform: A Solution from an Analytics Company” has been selected for the best paper award at the International Conference on Industrial Engineering and Operations Management (IEOM) held in Bandung, Indonesia, March 6–8, 2018. She was invited to serve as session chair for Human Factors and Ergonomics Track at the International Conference on Industrial Engineering and Operations Management in Kuala Lumpur, Malaysia. She is a contributing author in international journals, including Journal of Cleaner Production, Supply Chain Management: An International Journal, CLSCN, IJOA, JEEE, IJPPM, IJQRM, The TQM Journal, IJPMB, IJISE, IJBIS and Benchmarking: An International Journal, etc.

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