Disentangling utilitarian and hedonic consumption behavior in online shopping: An expectation disconfirmation perspective
Introduction
Consumption activities encompass both utilitarian and hedonic elements [1,2]. Utilitarian consumption appeals to customers’ rationality by accentuating the attainment of desired outcomes from shopping activities [3], whereas hedonic consumption is tied to the emotive and multisensory aspects of the shopping experience [4]. The same sentiments have been echoed by more recent e-commerce research [5,6]. Although substantive research has been conducted on the utilitarian facets of online shopping, recognition of the hedonic value of Information Technology (IT) has gained in momentum among both academics [1,2,[15], [16], [17], [18], [19], [20], [21],[7], [8], [9], [10], [11], [12], [13], [14]] and practitioners [22].
Past studies have demonstrated that customers treat IT artifacts embedded within e-commerce sites as social actors and ascribe human-like characteristics to them during interactions [23]. Insofar as e-commerce sites are deemed as social entities by customers, online shopping must not only fulfill its intended utilitarian function [24] but also deliver a hedonically charged transactional experience [1,2,[26], [27], [28], [29], [30], [31],[8], [9], [10],12,14,15,21,25]. Although prior research has alluded to a dual role of online shopping in fulfilling both utilitarian and hedonic functions, scholars have largely emphasized “a behavioral or cognitive focus, with less attention to hedonic elements of the consumption experience that focus on affective consumer behavior as elicited from emotive and multisensory elements.” [14, p. 540]. Even for the handful of studies that have sought to comprehend how hedonic experience manifests in online shopping, they tend to concentrate on prescribing aesthetic properties for e-commerce sites [7,10] without considering whether these functionalities are desired by customers. This runs contrary to overwhelming empirical evidence that attests to the criticality of taking into account customers’ expectations in relation to their satisfaction [37,38,40].
Indeed, there is a dearth of research that has strived to unravel the utilitarian and hedonic determinants underpinning customers’ expectations and performance evaluations of e-commerce sites. Given the pivotal role of the expectation–performance gap in driving customer satisfaction [37,38,40], it is imperative to not only acknowledge that customers’ evaluation of the performance of e-commerce sites must conform to or exceed their expectations to be assured of a satisfactory online shopping experience but also concede that customers’ expectations and performance evaluations are governed by a duality of cognitive and affective elements.
Apart from the expectation–performance gap, customers’ familiarity with e-commerce sites has been found to moderate their evaluation of and receptivity toward these sites. As asserted by Hernandez et al. [33], customers’ online shopping experience “exerts a moderating effect on certain perceptions that have traditionally defined attitude and intention to buy” [p. 1240, 32]. Yet, despite giving due credit to the moderating influence of online shopping experience on customers’ interaction with e-commerce sites, past studies have largely centered on deciphering how such experience translates into perceptual changes from pre- to post-adoption stages or dictates subsequent repurchasing behavior [[32], [33], [34]]. In other words, the bulk of research has oversimplified the distinction between experienced and inexperienced customers by treating experience as a dichotomy [35,36]. As illustrated by Tan et al. [37], a finer-grained appreciation of user experience as a continuum is necessary to yield more nuanced understanding of how such experience impacts one’s evaluation of system performance.
Drawing on the Expectation Disconfirmation Theory (EDT) [[38], [39], [40]], we advance a research model that not only posits (1) feelings of satisfaction as arising from customers’ evaluation of whether the functional and esthetic performances of e-commerce sites cater to the fulfillment of their utilitarian and hedonic expectations, respectively, but also postulates (2) online shopping experience (i.e., transactional frequency) as a moderator affecting not only how customers form utilitarian and hedonic expectations but also how they evaluate the functional and esthetic performances of these sites relative to the transactional functionalities and aesthetic properties being offered.
In this sense, this study endeavors to contribute to extant literature in two ways. First, we extend the EDT by delineating between utilitarian and hedonic aspects of customers’ expectations as well as distinguishing between transactional functionalities and aesthetic properties as performance indicators shaping their satisfaction with e-commerce sites. Second, we explore how customers’ online shopping experience (i.e., transactional frequency) would moderate the impact of cognitive and affective aspects of shopping activities on their expectations and performance evaluations of e-commerce sites. In so doing, this study offers an in-depth comprehension of how customers’ utilitarian and hedonic disconfirmations materialize from granular dissonance between their expectations and performance evaluations of e-commerce sites.
The remainder of this paper is organized as follows. In the next section, we build on past studies to construct a theoretical model of utilitarian and hedonic consumption behaviors in online shopping together with testable hypotheses. Specifically, our model draws on the EDT in distinguishing between utilitarian and hedonic elements of online shopping as focal antecedents of customer satisfaction toward e-commerce sites. We then arrive at separate typologies of utilitarian and hedonic expectations that drive customers’ evaluation of e-commerce sites and prescribe design features, which could be offered by e-merchants to fulfill these expectations. We also put forth online shopping experience, in the form of transactional frequency, as a moderator affecting customers’ evaluations of e-commerce sites. Subsequently, in the methodology section, we outline an empirical study to validate the hypothesized relationships in our theoretical model and summarize key analytical findings. We conclude the paper with a discussion section that highlights the insights to be gleaned from this investigtion in informing the design of e-commerce sites. We also point out potential limitations and suggest probable avenues for future research.
Section snippets
Research model development and hypotheses formulation
The EDT was proposed by Oliver [38,41] as an explanatory framework to comprehend the process of expectation disconfirmation. The EDT holds that expectations, together with product/service performance, determine customer satisfaction [39]. In turn, this effect is mediated by the positive or negative disconfirmation with customers’ expectations through product/service performance: expectations will be (1) negatively disconfirmed whenever the product/service performs below expectations; (2)
Methodology
This study adopts the field survey methodology for data collection. Data are gathered on a variety of e-commerce sites with the aid of student respondents. Students attending an undergraduate course were invited to participate in the survey. Only those who had online shopping experience participated in the survey. As reported by the respondents, they have utilized a variety of e-commerce sites, with the most prominent being Amazon, eBay, and Best Buy. Each respondent is asked to recall an
Discussion
Building on the EDT, we construct and test a theoretical model of online consumption behaviors that distinguishes between utilitarian and hedonic elements of e-commerce sites as core determinants of customer satisfaction and examines the moderating influence of the different levels of customers’ online e-commerce experience on the relationships between customers’ perceived presence of functionalities and their expectations and performance perceptions for an e-commerce site and their impacts on
Fei Liu is a PhD student in the Department of Information System and Management at Antai College of Economics and Management in Shanghai Jiao Tong University (China). He is also a PhD fellow in the Department of Digitalization at Copenhagen Business School (Denmark). He holds a PhD in Computer Science from Hong Kong Baptist University (Hong Kong). Fei’s research interests focus on design issues related to digital services. He is particularly interested in investigating how big data analytical
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Fei Liu is a PhD student in the Department of Information System and Management at Antai College of Economics and Management in Shanghai Jiao Tong University (China). He is also a PhD fellow in the Department of Digitalization at Copenhagen Business School (Denmark). He holds a PhD in Computer Science from Hong Kong Baptist University (Hong Kong). Fei’s research interests focus on design issues related to digital services. He is particularly interested in investigating how big data analytical design influences individuals in the contexts of big data and crowdfunding. Findings from his research have been presented at prestigious international conferences and published in peer-reviewed journals including Industrial Management & Data Systems (IMDS), Internet Research (IntR), and Journal of Management Analytics (JMA). One of his papers has been nominated for Best Theory Development Paper at the 37th International Conference on Information Systems (ICIS 2016) in Dublin. He also received the Best Reviewer Award at the 37th International Conference on Information Systems (ICIS 2016) in Dublin.
Eric T.K. Lim is a tenured Senior Lecturer (Assistant Professor) in the School of Information Systems and Technology Management at UNSW Business School, University of New South Wales Sydney. He holds a Ph.D. in Business Administration from Simon Fraser University (Canada). Eric’s research interests include FinTech, Blockchain, Bitcoin, Payment Solutions, Digital Innovation, Sharing Economy, Big Data, and Internet of Things. Eric has worked on research projects in collaboration with a number of public and private organizations in various countries. Eric’s research has also been published in leading academic journals such as Information Systems Research (ISR), Journal of the American Society for Information Science and Technology (JASIST), the European Journal of Information Systems (EJIS), and Decision Support Systems (DSS) among others. Eric currently serves as Associate Editor for Internet Research (IntR) and Guest Editor for a Special Issue on the Sharing Economy at IntR.
Hongxiu Li is Assistant Professor in the Department of Information and Knowledge Management at Tampere University. Her research interests focus on business data analytics and digital services. She has published research articles in leading journals in the likes of Information Systems Journal (ISJ), Computer & Education, Computers in Human Behavior, Decision Support Systems (DSS), Information & Management (I&M), PlosOne as well as established international conferences in field of information systems, such the International Conference on Information Systems (ICIS), the European Conference on Information Systems (ECIS), Pacific-Asia Conference on Information Systems (PACIS), and the Americas Conference on Information Systems (AMCIS).
Chee-Wee Tan is a Professor in the Department of Digitalization at Copenhagen Business School (CBS), an Honorary Professor of Business Analytics and Digitalization at the Nottingham University Business School China, the University of Nottingham Ningbo China (UNNC), an International Visiting Professor at the School of Management, the University of Science and Technology of China (USTC), Senior Research Fellow at the Weizenbaum Institute for the Networked Society, as well as a Senior Visiting Fellow at the School of Information Systems and Technology Management, UNSW Sydney. He received his Ph.D. in Management Information Systems from the University of British Columbia. His research interests focus on design and innovation issues related to digital services. His work has been published in leading peer-reviewed journals such as MIS Quarterly (MISQ), Information Systems Research (ISR), Journal of Management Information Systems (JMIS), Journal of the American Society for Information Science and Technology (JASIST), European Journal of Information Systems (EJIS), and Decision Support Systems (DSS), among others. Apart from his current appointment as Senior Editor for MISQ, Chee-Wee has served or is currently serving as Associate Editor for MISQ, Information & Management (I&M), Internet Research (IntR), and Journal of Management Analytics (JMA). In addition, Chee-Wee is currently serving on the Editorial Board of Industrial Management & Data Systems (IMDS), IEEE Transactions on Engineering Management (IEEE-TEM), Journal for the Association of Information Systems (JAIS), and Journal of Computer Information Systems (JCIS) as well as in various editorial capacities for special issues at DSS, I&M, and JMIS. Finally, Chee-Wee is the co-director of the joint research center between CBS and the Antai College of Economics and Management (ACEM) in Shanghai Jiao Tong University (SJTU).
Dianne Cyr is Professor of Management Information Systems at the Beedie School of Business, Simon Fraser University. Her research is focused on the design of websites and explores how design elements result in user trust, satisfaction, and loyalty. Unique elements of this research concern how design preferences differ across cultures or related to gender. She has received a number of awards for her publications including Best MIS Quarterly (MISQ) paper for 2009 and IS Senior Scholars Best Paper for 2009 (across all IS journals). Dr. Cyr was formerly the Academic Chair of the Surrey MBA and the Academic Director for the Business Technology Management (BTM) Program.