Measuring the quality of smartphones: development of a customer satisfaction index for smart services

The goal of this study was to propose a customer satisfaction index CSI model for smartphones and to measure the CSI to derive practical implications for providers and offer suggestions related to the improvement of service. Using user experience data, the CSI model and its hypotheses were tested through structural equation model analysis and index calculation. The findings indicate that perceived value and customer satisfaction are two significant variables that mediate the relationship between quality and customer loyalty. The proposed model has strong explanatory power with satisfactory reliability and validity. The results of the study provide heuristic information for the smart industry and policy-makers in forging effective policies and competitive strategies for smartphone services. The smartphone CSI model also establishes the foundation of a powerful tool for quality assessment of future smart service categories.

[1]  T. J. Gerpott,et al.  Customer retention, loyalty, and satisfaction in the German mobile cellular telecommunications market , 2001 .

[2]  Liqiong Deng,et al.  User experience, satisfaction, and continual usage intention of IT , 2010, Eur. J. Inf. Syst..

[3]  D. Hoffman,et al.  The Influence of Goal-Directed and Experiential Activities on Online Flow Experiences , 2003 .

[4]  Germà Coenders,et al.  Estimation of the European Customer Satisfaction Index: Maximum Likelihood versus Partial Least Squares. Application to Postal Services , 2004 .

[5]  Torsten J. Gerpott,et al.  Tariff-type suitability's impact on satisfaction of Mobile Internet customers in Germany , 2011, Int. J. Mob. Commun..

[6]  R. Bagozzi,et al.  On the evaluation of structural equation models , 1988 .

[7]  A. Parasuraman,et al.  Service quality delivery through web sites: A critical review of extant knowledge , 2002, Journal of the Academy of Marketing Science.

[8]  Chin-Lung Hsu,et al.  Investigating customer adoption behaviours in Mobile Financial Services , 2011, Int. J. Mob. Commun..

[9]  Alexander Serenko,et al.  User Satisfaction with Mobile Services in Canada , 2004 .

[10]  L. Castaldi,et al.  Consumer behavior in the Italian mobile telecommunication market , 2007 .

[11]  R. Rice,et al.  Assessing new cell phone text and video services , 2008 .

[12]  C. Fornell,et al.  Foundations of the American Customer Satisfaction Index , 2000 .

[13]  Ephraim R. McLean,et al.  Information Systems Success: The Quest for the Dependent Variable , 1992, Inf. Syst. Res..

[14]  Hans van der Heijden,et al.  User Acceptance of Hedonic Information Systems , 2004, MIS Q..

[15]  Chao-Min Chiu,et al.  Understanding e-learning continuance intention: An extension of the Technology Acceptance Model , 2006, Int. J. Hum. Comput. Stud..

[16]  C. Fornell A National Customer Satisfaction Barometer: The Swedish Experience: , 1992 .

[17]  C. Fornell,et al.  The American Customer Satisfaction Index: Nature, Purpose, and Findings , 1996 .

[18]  A. Parasuraman,et al.  SERVQUAL: A multiple-item scale for measuring consumer perceptions of service quality. , 1988 .

[19]  C. Fornell,et al.  Evaluating structural equation models with unobservable variables and measurement error. , 1981 .

[20]  Pil-Sun Heo,et al.  Measurement of a Customer Satisfaction Index for Improvement of Mobile RFID Services in Korea , 2008 .

[21]  Moon-Koo Kim,et al.  The effects of customer satisfaction and switching barrier on customer loyalty in Korean mobile telecommunication services , 2004 .

[22]  Judy Chuan-Chuan Lin,et al.  Towards an understanding of the behavioural intention to use a web site , 2000, Int. J. Inf. Manag..

[23]  Rolph E. Anderson,et al.  Multivariate data analysis with readings (2nd ed.) , 1986 .

[24]  Dong Hee Shin,et al.  Determinants of customer acceptance of multi-service network: An implication for IP-based technologies , 2009, Inf. Manag..

[25]  Wei-Jaw Deng,et al.  The relationships among service quality, perceived value, customer satisfaction, and post-purchase intention in mobile value-added services , 2009, Comput. Hum. Behav..

[26]  C. Fornell The Quality of Economic Output: Empirical Generalizations About Its Distribution and Relationship to Market Share , 1995 .

[27]  Fred D. Davis Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology , 1989, MIS Q..

[28]  Stefan Smolnik,et al.  Understanding E-Learning Continuance Intention: Towards A Conceptual Model , 2013, ECIS.

[29]  Bongsik Shin,et al.  Investigation of Factors That Have Impacts on Usage Increase and Decrease  of Mobile Data Service , 2008, Proceedings of the 41st Annual Hawaii International Conference on System Sciences (HICSS 2008).

[30]  D. Haughton,et al.  Determinants of customer loyalty in the wireless telecommunications industry , 2007 .