M-S-QUAL: Mobile service quality measurement

Electronic Commerce Research and Applications

Volumn 14, Issue 2, 2015, Pages 126-142

  Huang, Eugenia Y ^a   Lin, Sheng Wei ^b   Fan, Ya Chu ^c  

^a NATIONAL CHENGCHI UNIVERSITY   (Taiwan)

^b SOOCHOW UNIVERSITY   (Taiwan)

^c ADVANCED SEMICONDUCTOR ENGINEERING INC   (Taiwan)

Author keywords

Instrument development; Mobile commerce; Mobile service; Service quality

Indexed keywords

EFFICIENCY; FACTOR ANALYSIS; MOBILE TELECOMMUNICATION SYSTEMS; MULTIVARIANT ANALYSIS; QUALITY OF SERVICE; RELIABILITY ANALYSIS;

CONFIRMATORY FACTOR ANALYSIS; ESSENTIAL CHARACTERISTIC; EXPLORATORY FACTOR ANALYSIS; INSTRUMENT DEVELOPMENT; MOBILE SERVICE; MOBILE SERVICE PROVIDERS; RELIABILITY AND VALIDITY; SERVICE QUALITY;

MOBILE COMMERCE;

EID: 84926301678     PISSN: 15674223     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.elerap.2015.01.003     Document Type: Article

References (52)

1. S. Akter, J. D'Ambra, and P. Ray Service quality of m-health platforms: Development and validation of a hierarchical model using PLS Electronic Markets 20 2010 209 227
2. R.P. Bagozzi, and Y. Yi On the evaluation of structural equation models Journal of the Academy of Marketing Science 16 1 1988 74 94
3. S. Balasubramanian, R.A. Peterson, and S.L. Jarvenpaa Exploring the implications of m-commerce for markets and marketing Journal of the Academy of Marketing Science 30 4 2002 348 361
4. D. Barclay, C. Higgins, and R. Thompson The partial least squares approach to causal modeling: Personal computer adoption and use as an illustration Technology Studies 2 2 1995 285 309
5. P.M. Bentler EQS, Structural Equations, Program Manual, Program Version 3.0 1989 BMDP Statistical Software Inc Los Angeles p. 6
6. P.M. Bentler On the fit of models to covariance and methodology to the Bulletin Psychological Bulletin 112 1992 400 404
7. K.A. Bollen Structural Equations with Latent Variables 1989 Wiley New York p. 268
8. F. Buttle SERVQUAL: review, critique, research agenda European Journal of Marketing 30 1 1996 8 31
9. L.M. Caro, and J.A.M. Garcia Measuring perceived service quality in urgent transport service Journal of Retailing and Consumer Services 14 2007 60 72
10. M. Chae, J. Kim, H. Kim, and H. Ryu Information quality for mobile internet services: A theoretical model with empirical validation Electronic Markets 12 1 2002 38 46
11. Choi, C., Kim, C., Sung, N., and Park, Y. Evaluating the quality of service in mobile business based on fuzzy set theory. Paper presented at the Fourth International Conference on Fuzzy Systems and Knowledge Discovery, Haiku, China, 2007.
12. G.A. Churchill A paradigm for developing better measures of marketing constructs Journal of Marketing Research 16 1 1979 64 73
13. I. Clarke Emerging value propositions for m-commerce Journal of Business Strategies 18 2 2001 133 148
14. I. Clarke, and T.B. Flaherty Web-based B2B portals Industrial Marketing Management 32 2003 15 23
15. C. Coursaris, and K. Hassanein Understanding m-commerce: A consumer-centric model Quarterly Journal of Electronic Commerce 3 3 2002 247 271
16. L.J. Cronbach Coefficient alpha and the internal structure of tests Psychometrika 16 13 1951 297 334
17. Z. Denga, Y. Lua, K.K. Weib, and J. Zhanga Understanding consumer satisfaction and loyalty: An empirical study of mobile instant messages in China International Journal of Information Management 30 2010 289 300
18. European Commission Strategic developments for the European publishing industry towards the year 2000 - Europe's multimedia challenge. DG XIII/E 1996 European Commission Brussels
19. C. Fornell, and D.F. Larcker Evaluating structural equation models with unobservable variables and measurement error Journal of Marketing Research 18 1 1981 39 50
20. D.W. Gerbing, and J.C. Anderson Monte Carlo evaluations of goodness of fit indices for structural equation models Sociological Methods Research 21 1992 132 160
21. Google. 2013 Q1 smartphone users' behavior survey. Retrieve January 15, 2014, from http://www.sogi.com.tw/mobile/articles/6217679, 2013.
22. J.F. Hair, W.C. Black, B.J. Babin, and R.E. Anderson Multivariate Data Analysis 2010 Pearson Education Inc Pearson, NJ
23. R.J. Harvey, R.S. Billings, and K.J. Nilan Confirmatory factor analysis of the job diagnostic survey: Good news and bad news Journal of Applied Psychology 70 1985 461 468
24. T.R. Hinkin A brief tutorial on the development of measures for use in survey questionnaires Organizational Research Methods 1 1 1998 104 121
25. J.W. Holeter The analysis of covariance structures: Goodness-of-fit indices Sociological Methods and Research 11 1983 325 344
26. International Telecommunication Union (ITU) (2014, April). The world in 2014 ICT facts and figures. Retrieved May 15, 2014 from http://www.itu.int/en/ITU-D/Statistics/Documents/facts/ICTFactsFigures2014-e.pdf.
27. K.G. Jöreskog, and D. Sörbom LISREL: A Guide to the Program and Applications 3rd ed. 1992 Scientific Software International Inc Chicago
28. R.B. Kline Principles and Practice of Structural Equation Modeling 2nd edition 2005 The Guilford Press New York
29. A. Kumar, and H. Lim Age differences in mobile service perceptions: Comparison of generation Y and baby boomers Journal of Services Marketing 22 7 2008 568 577
30. Y.F. Kuo, C.M. Wub, and W.J. Deng The relationships among service quality, perceived value, consumer satisfaction, and post-purchase intention in mobile value-added services Computers in Human Behavior 25 2009 887 896
31. O.B. Kwon, and N. Sadeh Applying case-based reasoning and multi-agent intelligent system to context-aware comparative shopping Decision Support Systems 37 2 2004 199 213
32. Y. Lu, L. Zhang, and B. Wang A multidimensional and hierarchical model of mobile service quality Electronic Commerce Research and Applications 8 2009 228 240
33. R.C. MacCallum, and S. Hong Power analysis in covariance structure modeling using GFI and AGFI Multivariate Behavioral Research 32 1997 193 210
34. S.B. Mackenzie, P.M. Posakoff, and R. Fetter Organizational citizenship behavior and objective productivity as determinants of managerial evaluations of salespersons' performance Organizational Behavior and Human Decision Processes 50 1991 123 150
35. Nielsen. Who is the mobile shopper? Retrieve January 15, 2014, from http://www.nielsen.com/us/en/newswire/2013/who-is-the-mobile-shopper-.html, 2013.
36. H. Nysveen, P.E. Pedersen, and H. Thorbjornsen Intentions to use mobile services: Antecedents and cross-service comparisons Journal of the Academy of Marketing Science 33 3 2005 330 346
37. A. Parasuraman, V.A. Zeithaml, and L.L. Berry A conceptual model of service quality and its implications for future research Journal of Marketing 49 1985 41 50
38. A. Parasuraman, L.L. Berry, and V.A. Zeithaml SERVQUAL: A multiple-item scale for measuring consumer perceptions of service Quality Journal of Retailing 64 1 1988 12 40
39. A. Parasuraman, L.L. Berry, and V.A. Zeithaml Refinement and reassessment of the SERVQUAL scale Journal of Retailing 64 1 1991 420 450
40. A. Parasuraman, V.A. Zeithaml, and A. Malhotra E-S-QUAL. A multiple-item scale for assessing electronic service quality Journal of Service Research 7 3 2005 213 233
41. M.E. Porter, and V.E. Millar The information revolution is transforming the nature of competition Harvard Business Review 1985 149 174
42. B. Rao, and L. Minakakis Evolution of mobile location-based services Communications of the ACM 46 12 2003 61 65
43. Research and Markets. Europe Mobile and M-Commerce Report 2012. Retrieve January 15, 2014, from http://www.researchandmarkets.com/research/m5x9ll/europe-mobile-and,2013.
44. I. Santouridis, and P. Trivellas Investigating the impact of service quality and consumer satisfaction on consumer loyalty in mobile telephony in Greece The TQM Journal 22 3 2010 330 343
45. R. Saxe, and B.A. Weitz The SOCO scale: a measure of the customer orientation of salespeople Journal of Market Research XIX 1982 343 351
46. The Statistics Portal (Statista) (2014, May), Statistics and facts on mobile Internet usage. Retrieved June 4, 2014 from http://www.statista.com/topics/779/mobile-internet/.
47. J.H. Steiger Structural model evaluation and modification: An interval estimation approach Multivariate Behavioral Research 25 1990 173 180
48. D.W. Straub Validating instruments in MIS research MIS Quarterly 13 2 1989 147 169
49. O. Turel, and A. Serenko Satisfaction with mobile services in Canada: An empirical investigation Telecommunications Policy 30 2006 314 331
50. Y.S. Wang, and Y.W. Liao The conceptualization and measurement of m-commerce user satisfaction Computers in Human Behavior 23 2007 381 398
51. J.C. Westland Lower bounds on sample size in structural equation modeling Electronic Commerce Research and Applications 9 6 2010 476 487
52. Westland, J. C. Statistical Power and Sample Size in PLS Path Analysis. August 29, 2014, available at SSRN: http://ssrn.com/abstract=2488982.