Abstract
A novel two-step knowledge-based exploratory framework is proposed in this paper for studying quality of Italian mobile telecommunication services (MTSs). Particularly, the Delphi technique is initially considered to finalize an overall quality structure of MTSs features, indicators and drivers, herein described on the basis of a comprehensive review of the fundamental references for the field, and also to select the key elements with reference to the Italian context. At the second step, selected key elements are prioritized via the analytic hierarchical process method according to viewpoints of the fundamental stakeholders for the sector. Furthermore, possible uncertainty and ambiguity of involved experts at this step of the study are addressed via a linguistic comparison scale represented by fuzzy numbers. Results of the first step revealed that the quality structure of Italian MTSs includes 15 key indicators with reference to four key MTSs quality features and seven key drivers. On the other hand, results of the second step pointed out that tangible aspects represents the fundamental key MTSs quality feature, whereas network population coverage, price of data services, and internet network performance represent the crucial key indicators. In addition, technological resources and technological innovation as well as informational resources constitute the most important key quality drivers of Italian MTSs. Obtained results may be of interest for MTSs managers and decision makers as well researchers of the field offering important suggestions as to how to evaluate and improve quality of MTSs.
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References
AGCOM Annual Report. (2015). http://www.agcom.it/annual-report.
Ahn, J.-H., Han, S.-P., & Lee, Y.-S. (2006). Customer churn analysis: Churn determinants and mediation effects of partial defection in the Korean mobile telecommunications service industry. Telecommunications Policy, 30(10–11), 552–568.
Ansari, A., Kheirabadi, A., Ghalamkari, S., & Khanjari, A. R. (2013). Investigation the relationship among mobile value-added services quality, customer satisfaction and the continuance intention: Case study, Hamrah Avval operator. International Journal of Information Science and Management, 11, 67–84.
Keramati, A., & Ardabili, S. M. S. (2011). Churn analysis for an Iranian mobile operator. Telecommunications Policy, 35(4), 344–356.
Kim, J., Lee, D.-J., & Ahn, J. (2006). A dynamic competition analysis on the Korean mobile phone market using competitive diffusion model. Computers and Industrial Engineering, 51(1), 174–182.
Kirkwood, G. W. (1997). Strategic decision making. Belmont: Duxbury Press.
Volberda, H. W., Van Den Bosch, F. A. J., & Heij, C. V. (2013). Management innovation: Management as fertile ground for innovation. European Management Review, 10(1), 1–15.
Ambastha, A., & Momaya, K. (2004). Competitiveness of firms: Review of theory, frameworks, and models. Singapore Management Review, 26(1), 45–61.
Subramanian, N., Gunasekaran, A., Yu, J., Cheng, J., & Ning, K. (2014). Customer satisfaction and competitiveness in the Chinese E-retailing: Structural equation modeling (SEM) approach to identify the role of quality factors. Expert Systems with Applications, 41(1), 69–80.
Crouch, G. I., & Ritchie, J. R. (1999). Tourism, competitiveness, and societal prosperity. Journal of Business Research, 44(3), 137–152.
Tan, F. B., & Chou, J. P. C. (2008). The relationship between mobile service quality, perceived technology compatibility, and users’ perceived playfulness in the context of mobile information and entertainment services. International Journal of Human–Computer Interaction, 24(7), 649–671.
Charles, V., & Zegarra, L. F. (2014). Measuring regional competitiveness through data envelopment analysis: A peruvian case. Expert Systems with Applications, 41(11), 5371–5381.
Chikán, A. (2008). National and firm competitiveness: A general research model. Competitiveness Review: An International Business Journal incorporating Journal of Global Competitiveness, 18(1/2), 20–28.
Pace, R. W., & Stephan, E. G. (1996). Paradigms of competitiveness. Competitiveness Review: An International Business Journal Incorporating Journal of Global Competitiveness, 6(1), 8–13.
Waheeduzzaman, A. N. M., & Ryans, J. K, Jr. (1996). Definition, perspectives, and understanding of international competitiveness: A quest for a common ground. Competitiveness Review, 6(2), 7–26.
OECD/DAC. (2010). Glossary of key terms in evaluation and results based management. Retrieved June 1, 2015, from http://www.oecd.org/development/peerreviewsofdacmembers/2754804.pdf.
Telecom Italia Report. (2015). http://www.telecomitalia.com/content/dam/telecomitalia/it/archivio/documenti/Investitori/Bilanci_di_esercizio/2015/Relazione-finanziaria-annuale2015.pdf.
ETSI TS 102 250-1 V2.2.1. (2011–2004). Speech and multimedia transmission quality.
ITU X.36 Accuracy and dependability performance values for public data networks when providing international packet-switched services.
ITU X.135 Speed of service (delay and throughput) performance values for public data networks when providing international packet-switched services.
ITU X.137 Availability performance values for public data networks when providing international packet-switched services.
ITU X.138 Measurement of performance values for public data networks when providing international packet-switched services.
ITU X.140 General Quality of service parameters for communication via public data networks.
WIND Sustainability Report. (2014). http://www.sostenibilitawind.com/docs/bilancio_2014.pdf.
TIM Sustainability Report. (2014). http://www.telecomitalia.com/content/dam/telecomitalia/it/archivio/documenti/Sostenibilita/Report_di_sostenibilita/2014/Bilancio-Sostenibilita%CC%80-2014-ITA.pdf.
Vodafone Sustainability Report. (2014). http://v2.vodafone.it/portal/resources/media/Documents/corporate/Vodafone_Foundation_Bilancio_Sostenibilita_2015_Ridotto_new.pdf.
Eshghi, A., Haughton, D., & Topi, H. (2007). Determinants of customer loyalty in the wireless telecommunications industry. Telecommunications Policy, 31(2), 93–106.
Lee, J., Lee, J., & Feick, F. (2001). The impact of the switchingcosts on the customer satisfaction-loyalty link: Mobile phone service in France. Journal of Services Marketing, 15(1), 35–48.
Taha, A., Jahed, D. H., Ahmad, M. N. & Zakaria H. (2013). Antecedents of customer satisfaction in mobile commerce: A systematic literature review. In International conference on research and innovation in information systems (ICRIIS). Kuala Lumpur, 27–28 Nov. 2013. pp. 554–558. ISSN: 2324-8149.
Yang, K. C. C. (2005). Exploring factors affecting the adoption of mobile commerce in Singapore. Telematics and Informatics, 22, 257–277.
Tsang, M., Ho, S. C., & Liang, T. P. (2004). Consumer attitudes toward mobile advertising: An empirical study. International Journal of Electronic Commerce, 8(3), 65–78.
ISO 9001:2015. Quality management system.
BS OHSAS 18001: 2007. Occupational health and safety management systems—Requirements.
ISO 14001:2015. Environmental management system.
ISO 26000:2010. Guidance on social responsibility.
Lam, P. L., & Shiu, A. (2010). Economic growth, telecommunications development and productivity growth of the telecommunications sector: Evidence around the world. Telecommunications Policy, 34(4), 185–199.
Urda, J., & Loch, C. H. (2013). Social preferences and emotions as regulators of behavior in processes. Journal of Operations Management, 31(1), 6–23.
Paulrajan, R., & Rajkumar, H. (2011). Service quality and customers preference of cellular mobile service providers. Journal of Technology Management & Innovation, 6(1), 38–45.
Suárez, D., García-Mariñoso, B., & Santos, I. (2016). Satisfaction of business customers with mobile phone and internet services in Spain. Telecommunications Policy, 40(1), 52–61.
Karjaluoto, H., Jayawardhena, C., Leppäniemi, M., & Pihlström, M. (2013). How value and trust influence loyalty in wireless telecommunications industry. Telecommunications Policy, 36(8), 636–649.
Pagani, M. (2004). Determinants of adoption of third generation mobile multimedia services. Journal of Interactive Marketing, 18(3), 46–59.
Haque, A., Rahman, S., & Rahman, M. (2010). Factors determinants the choice of mobile service providers: Structural equation modeling approach on Bangladeshi consumers. Business and Economics Research Journal, 1(3), 17–34.
ISO 50001:2011—Energy management system.
AGCOM Resolution #417/01/CONS. Guidelines on communications to customers of the services offered. http://www.agcom.it/documents/10179/538499/Delibera+417-01-CONS/0c12c63b-cae9-454e-b426-4f278d3c5c7e?version=1.0&targetExtension=pdf.
Carlson, C., Hyvönen, K., Repo, P. & Walden, P. (2005) Adoption of mobile services across different technologies. In 18th Bled eConference eIntegration in Action. Bled, Slovenia, June 6–8, 2005.
Gijón, C., Garín-Muñoz, T., Pérez-Amaral, T., & López-Zorzano, R. (2013). Satisfaction of individual mobile phone users in Spain. Telecommunications Policy, 37(10), 940–954.
Seth, A., Momaya, K., & Gupta, H. (2005). E-service delivery in cellular mobile communication: Some challenges and issues. Global Journal of e-Business and Knowledge Management, 2(2), 30–42.
Shih, Y. W. (2011). Facilitators and benefits of using mobile entertainment services. International Journal of Mobile Communications, 9(5), 458–476.
Turel, O., & Serenko, A. (2006). Satisfaction with mobile services in Canada: An empirical investigation. Telecommunications Policy, 30(3), 314–331.
SA 8000: 2008. International standard on social accountability.
Lo, C. K. Y., Pagell, M., Fan, D., Wiengarten, F., & Yeung, A. C. L. (2014). OHSAS 18001 certification and operating performance: The role of complexity and coupling. Journal of Operations Management, 32(5), 268–280.
Ward, M. R., & Zheng, S. (2016). Mobile telecommunications service and economic growth: Evidence from China. Telecommunications Policy, 40(2–3), 89–101.
AGCOM Resolution #244/08/CSP. Instructions on quality of internet access services. http://www.agcom.it/documents/10179/539047/Delibera+244-08-CSP/ec82324a-f2a4-4b0e-8109-b53b7e8e9fce?version=1.0&targetExtension=pdf.
Gerpott, T. J., Rams, W., & Schindler, A. (2001). Customer retention, loyalty, and satisfaction in the German mobile cellular telecommunications market. Telecommunications Policy, 25(4), 249–269.
Hafeez, S., & Hasnu, S. (2010). Customer satisfaction for cellular phones in Pakistan: A case study of Mobilink. Business and Economics Research Journal, 1(3), 35–44.
Liu, C. M. (2000). The effects of promotional activities on brand decision in the cellular telephone industry. The Journal of Product and Brand Management, 11(1), 42–51.
Woodru, R. B. (1997). Customer value: The next source for competitive advantage. Journal of the Academy of Marketing Science, 25, 139–153.
AGCOM Resolution # 645/14/CONS. Regulation for protecting consumers in respect of agreements. http://www.agcom.it/documents/10179/1609860/Delibera+645-14-CONS/0f7075e2-b38c-4bad-a104-309eb92d34e7?version=1.5.
Linstone, H. A., & Turoff, M. (2002). The Delphi method: Techniques and applications. Reading, MA: Addison-Wesley.
Van Laarhoven, P. J. M., & Pedrycz, W. (1983). A fuzzy extension of Saaty’s priority theory. Fuzzy Sets and Systems, 11, 229–241.
Adler, M., & Ziglio, E. (1996). Gazing into the oracle: The Delphi method and its application to social policy and public health. London: Kingsley.
Hsu, C., & Sandford, B. (2007). The Delphi technique: Making sense of consensus. Practical Assessment, Research & Evaluation, 12, 1–8.
McKenna, H. P. (1994). The Delphi technique: A worthwhile research approach for nursing? Journal of Advanced Nursing, 19, 1221–1225.
Alvarez, S., Carballo-Penela, A., Mateo-Mantecon, I., & Rubio, A. (2016). Strengths–Weaknesses–Opportunities–Threats analysis of carbon footprint indicator and derived recommendations. Journal of Cleaner Production, 121, 238–247.
Mbakwe, A. C., Saka, A. A., Choi, K., & Lee, Y.-J. (2016). Alternative method of highway traffic safety analysis for developing countries using Delphi technique and Bayesian network. Accident Analysis and Prevention, 93(1), 135–146.
Ormshaw, M. J., Kokko, S. P., Villberg, J., & Kannas, L. (2016). The desired learning outcomes of school-based nutrition/physical activity health education: A health literacy constructed Delphi survey of Finnish experts. Health Education, 116(4), 372–394.
Hinckeldeyn, J., Dekkers, R., & Kreutzfeldt, J. (2015). Productivity of product design and engineering processes unexplored territory for production management techniques? International Journal of Operations & Production Management, 35(4), 458–486.
Delbari, S. A., Ng, S. I., Aziz, Y. A., & Ho, J. A. (2016). An investigation of key competitiveness indicators and drivers of full-service airlines using Delphi and AHP techniques. Journal of Air Transport Management, 52, 23–34.
Sinclair, J. B., Oyebode, J. R., & Owens, R. G. (2016). Consensus views on advance care planning for dementia: A Delphi study. Health and Social Care in the Community, 24(2), 165–174.
Henning, J. I. F., & Jordaan, H. (2016). Determinants of financial sustainability for farm credit applications: A Delphi study. Sustainability (Switzerland), 8(1), 1–15.
Lawshe, C. H. (1975). A quantitative approach to content validity. Personnel Psychology, 28, 563–575.
Vaidya, O. S., & Kumar, S. (2006). Analytic hierarchy process: An overview of applications. European Journal of Operational Research, 169(1), 1–29.
Subramanian, N., & Ramanathan, R. (2012). A review of applications of analytic hierarchy process in operations management. International Journal of Production Economics, 138(2), 215–241.
Ferdous, R., Khan, F., Sadiq, R., Amyotte, P., & Veitch, B. (2012). Handling and updating uncertain information in bow-tie analysis. Journal of Loss Prevention in the Process Industries, 25, 8–12.
Bouyssou, D., Marchant, T., Pirlot, M., Perny, P., Tsoukias, A., & Vincke, P. (2000). Evaluation models: A critical perspective. Boston: Kluwer.
Ishizaka, A. (2014). Comparison of fuzzy logic, AHP, FAHP and hybrid fuzzy AHP for new supplier selection and its performance analysis. International Journal of Integrated Supply Management, 9(1–2), 1–22.
Leung, L. C., & Cao, D. (2000). On consistency and ranking of alternatives in fuzzy AHP. European Journal of Operational Research, 124(1), 102–113.
Ayağ, Z. (2005). A fuzzy AHP-based simulation approach to concept evaluation in a NPD environment. IIE Transactions, 37(9), 827–842.
Büyüközkan, G., & Çifçi, G. (2012). A combined fuzzy AHP and fuzzy TOPSIS based strategic analysis of electronic service quality in health care industry. Expert Systems with Applications, 39, 2341–2354.
Klir, G. J., & Yuan, B. (1999). Fuzzy sets and fuzzy logic, theory and applications. Upper Saddle River, NJ: Prentice Hall PTR.
Kulak, O., & Kahraman, C. (2005). Fuzzy multi-attribute selection among transportation companies using axiomatic design and analytic hierarchy process. Information Sciences, 170(2), 191–210.
Zadeh, L. A. (1965). Fuzzy set. Information and Control, 8(3), 338–353.
Dura’n, O., & Aguilo, J. (2008). Computer-aided machine-tool selection based on a fuzzy-AHP approach. Expert Systems with Applications, 34, 1787–1794.
Kahraman, C., Ertay, T., & Büyüközkan, G. (2006). A fuzzy optimization model for QFD planning process using analytic network approach. European Journal of Operational Research, 171(2), 390–411.
Promentilla, M. A. B., Furuichi, T., Ishii, K., & Tanikawa, N. (2008). A fuzzy analytic network process for multi-criteria evaluation of contaminated site remedial countermeasures. Journal of Environmental Management, 88, 479–495.
Kubler, S., Robert, J., Derigent, W., Voisin, A., & Le Traon, Y. (2016). A state-of the-art survey and testbed of fuzzy AHP (FAHP) applications. Expert Systems With Applications, 65, 398–422.
Basak, I., & Saaty, T. (1993). Group decision making using the analytic hierarchy process. Mathematical and Computer Modelling, 17(4–5), 101–109.
Chang, D.-Y. (1996). Applications of the extent analysis method on fuzzy AHP. European Journal of Operational Research, 95(3), 649–655.
Csutora, R., & Buckley, J. J. (2001). Fuzzy hierarchical analysis: The lambda-max method. Fuzzy Sets and Systems, 120(2), 181–195.
Lee, A. R. (1999). Application of modified fuzzy AHP method to analyze bolting sequence of structural joints, UMI dissertation services. A. Bell & Howell Company.
Powell, C. (2003). The Delphi technique: Myths and realities. Journal of Advanced Nursing, 41, 376–382.
Hasson, F., Keeney, S., & McKenna, H. (2000). Research guidelines for the Delphi survey technique. Journal of Advanced Nursing, 32, 1008–1015.
Murphy, M. K., Black, N. A., Lamping, D. L., McKee, C. M., Sanderson, C. F., Askham, J., et al. (1998). Consensus development methods, and their use in clinical guideline development. Health Technology Assessment, 2(i–iv), 1–88.
Saaty, T. L. (2008). Decision making with the analytic hierarchy process. International Journal of Services Sciences, 1, 83–98.
Gow, F. (1979). CETA and Vocational Education Administrator’ perceptions of procedures for the implementation and operation of jointly delivered programs in Virginia (Unpublished doctoral dissertation). Virginia Polytechnic Institute and State University, USA.
Jaeger, R. M., & Busch, J. C. (1984). The effects of a Delphi modification of the Angoff-Jaeger standard-setting procedure on standards recommended for the national teacher examinations. Paper presented at the annual meeting of the National Council on Measurement in Education, New Orleans, LA.
Tersine, R. J., & Riggs, W. E. (1976). Models: Decision tools for management. Journal of Systems Management, 27(10), 30–34.
McGaw, B., Browne, R. K., & Rees, P. (1976). Delphi in education: Review and assessment. Australian Journal of Education, 20(1), 59–76.
Fish, L. S., & Osborn, J. L. (1992). Therapists’ views of family life: A Delphi study. Family Relations, 41(4), 409–416.
De Meyrick, J. (2003). The Delphi method and health research. Health education, 103(1), 7–16.
Taylor, R. E., Judd, L. L., Witt, S. F., & Moutinho, L. (1989). Delphi method applied to tourism. In Tourism marketing and management handbook (pp. 95–98).
Velasquez, M., & Hester, P. T. (2013). An analysis of multi-criteria decision making methods. International Journal of Operations Research, 10(2), 56–66.
Saaty, T. L. (1999). Fundamentals of the analytical network process. In Proceedings of ISAHP 1999, Kobe, Japan, August 12–14, pp. 48–63.
Sarkis, J., & Sundarraj, R. P. (2005). Evaluation of enterprise information technologies: A decision model for high-level consideration of strategic and operational issues. IEEE Transactions on Systems, Man., and Cybernetics-Part C: Applications and Reviews, 36(2), 260–273.
Roohnavazfar, M., Houshmand, M., Zarandi, R. N., & Mirsalim, M. (2014). Optimization of design parameters of a limited angle torque motor using analytical hierarchy process and axiomatic design theory. Production & Manufacturing Research, 2(1), 400–414.
Gavade, R. K. (2014). Multi-criteria decision making: An overview of different selection problems and methods. International Journal of Computer Science and Information Technologies, 5(4), 5643–5646.
Triantaphyllou, E., & Mann, S. H. (1995). Using the analytic hierarchy process for decision making in engineering applications: Some challenges. International Journal of Industrial Engineering: Applications and Practice, 2(1), 35–44.
Wang, Y. M., & Luo, Y. (2009). On rank reversal in decision analysis. Mathematical and Computer Modelling, 49(5), 1221–1229.
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Lupo, T., Delbari, S.A. A knowledge-based exploratory framework to study quality of Italian mobile telecommunication services. Telecommun Syst 68, 129–144 (2018). https://doi.org/10.1007/s11235-017-0380-6
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DOI: https://doi.org/10.1007/s11235-017-0380-6