Testing a MIMIC model of e‐shopping site usage

Purpose – The purpose of this paper is to develop a multiple‐indicator‐multiple‐cause (MIMIC) model that assesses the relative influence of various e‐shopping web site design attributes on e‐shopping web site usage intention.Design/methodology/approach – Data from a survey of 261 students are used to test the research model. Factor analysis is performed to ascertain distinct constructs. LISREL analysis of the survey data is then used to test the proposed MIMIC model.Findings – The results showed the effect of the dimensions of content quality (CQ), transaction quality (TQ), playfulness, and security on e‐shopping web site usage. Security is identified as the most important factor in e‐shopping web site success.Research limitations/implications – The theoretical contribution is the systematic evaluation of the relative influence of the four web site design factors on web site usage intention. The degree of influence of specific factors that can motivate continuous use is identified.Practical implications –...

[1]  R. Bagozzi,et al.  Representing and testing organizational theories: A holistic construal. , 1982 .

[2]  Gwo-Guang Lee,et al.  Customer perceptions of e‐service quality in online shopping , 2005 .

[3]  Sue Fowell,et al.  Expectations versus reality: a snapshot of consumer experiences with Internet retailing , 2000, Int. J. Inf. Manag..

[4]  David F. Larcker,et al.  Structural Equation Models with Unobservable Variables and Measurement Error: Algebra and Statistics: , 1981 .

[5]  Robin L. Wakefield,et al.  Examining User Perceptions of Third-Party Organizations Credibility and Trust in an E-Retailer , 2006, J. Organ. End User Comput..

[6]  Thompson S. H. Teo,et al.  Intrinsic and extrinsic motivation in Internet usage , 1999 .

[7]  Danny Weathers,et al.  Assessing the relationships between e-tail success and product and Web site factors , 2006 .

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

[9]  Vincent S. Lai,et al.  Literature derived reference models for the adoption of online shopping , 2005, Inf. Manag..

[10]  Prashant C. Palvia,et al.  Developing and validating an instrument for measuring user-perceived web quality , 2002, Inf. Manag..

[11]  Chang Liu,et al.  Exploring the factors associated with Web site success in the context of electronic commerce , 2000, Inf. Manag..

[12]  K. Jöreskog,et al.  LISREL 8: New Statistical Features , 1999 .

[13]  Abby Day,et al.  A model for monitoring Web site effectiveness , 1997, Internet Res..

[14]  Eelko K. R. E. Huizingh,et al.  The content and design of web sites: an empirical study , 2000, Inf. Manag..

[15]  William R. Darden,et al.  Causal Models in Marketing , 1980 .

[16]  Jonathan W. Palmer,et al.  Web Site Usability, Design, and Performance Metrics , 2002, Inf. Syst. Res..

[17]  Michael A. Jones,et al.  Hedonic and utilitarian shopping value: Investigating differential effects on retail outcomes , 2006 .

[18]  Jakob Nielsen,et al.  Designing web usability , 1999 .

[19]  I. Wakeman,et al.  Beyond the interface: users' perceptions of interaction and audience on websites , 2001, Interact. Comput..

[20]  Dhruv Grewal,et al.  Retailing research: Past, present, and future , 2007 .

[21]  Eun-Ju Lee,et al.  The effects of utilitarian and hedonic online shopping value on consumer preference and intentions , 2006 .

[22]  Robert Hudson,et al.  Share dealing on the web: a comprehensive review of design specifications across the globe , 2000, Int. J. Inf. Manag..

[23]  Felix B. Tan,et al.  Antecedents of perceived playfulness: an exploratory study on user acceptance of general information-searching websites , 2004, Inf. Manag..

[24]  Gerald L. Lohse,et al.  Predictors of online buying behavior , 1999, CACM.

[25]  Martin Fassnacht,et al.  Consequences of Web-based service quality: Uncovering a multi-faceted chain of effects , 2007 .

[26]  Peter A. Todd,et al.  Consumer Reactions to Electronic Shopping on the World Wide Web , 1996, Int. J. Electron. Commer..

[27]  Paul Pavlou,et al.  Consumer Intentions to Adopt Electronic Commerce - Incorporating Trust and Risk in the Technology Acceptance Model , 2001 .

[28]  Fang Wang,et al.  How can the Web help build customer relationships?: An empirical study on e-tailing , 2007, Inf. Manag..

[29]  Lei Jin,et al.  Explaining Cybermediation: An Organizational Analysis of Electronic Retailing , 1999, Int. J. Electron. Commer..

[30]  P. Ballantine Effects of interactivity and product information on consumer satisfaction in an online retail setting , 2005 .

[31]  Khawaja Asjad Saeed,et al.  Toward an Integrative Framework for Online Consumer Behavior Research: A Meta-Analysis Approach , 2003, J. Organ. End User Comput..

[32]  Jakob Nielsen,et al.  User interface directions for the Web , 1999, CACM.

[33]  Ting-Peng Liang,et al.  Electronic store design and consumer choice: an empirical study , 2000, Proceedings of the 33rd Annual Hawaii International Conference on System Sciences.

[34]  Donnavieve N. Smith,et al.  Flow and Internet shopping behavior: A conceptual model and research propositions , 2004 .

[35]  Young-Gul Kim,et al.  Extending the TAM for a World-Wide-Web context , 2000, Inf. Manag..

[36]  James C. Anderson,et al.  An approach for confirmatory measurement and structural equation modeling of organizational properties , 1987 .

[37]  E. W. T. Ngai,et al.  A literature review and classification of electronic commerce research , 2002, Inf. Manag..

[38]  Ingoo Han,et al.  The Impact of Customer Trust and Perception of Security Control on the Acceptance of Electronic Commerce , 2003, Int. J. Electron. Commer..

[39]  Detmar W. Straub,et al.  Critical themes in electronic commerce research: a meta-analysis , 2005, J. Inf. Technol..

[40]  Eelko Huizingh,et al.  The antecedents of web site performance , 2002 .

[41]  Bruce D. Weinberg,et al.  Don't keep your Internet customers waiting too long at the (virtual) front door , 2000 .

[42]  James C. Anderson,et al.  Some Methods for Respecifying Measurement Models to Obtain Unidimensional Construct Measurement , 1982 .

[43]  Fred D. Davis,et al.  Extrinsic and Intrinsic Motivation to Use Computers in the Workplace1 , 1992 .

[44]  Hung-Pin Shih,et al.  An empirical study on predicting user acceptance of e-shopping on the Web , 2004, Inf. Manag..

[45]  Laurel A. Clyde A strategic planning approach to Web site management , 2000, Electron. Libr..

[46]  Paul A. Pavlou,et al.  Consumer Acceptance of Electronic Commerce: Integrating Trust and Risk with the Technology Acceptance Model , 2003, Int. J. Electron. Commer..

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

[48]  Carolyn Snyder,et al.  Web Site Usability: A Designer's Guide , 1997 .

[49]  Alan J. Dubinsky,et al.  Consumers' perceptions of e‐shopping characteristics: an expectancy‐value approach , 2004 .

[50]  David B. Grant,et al.  Developing a framework for measuring physical distribution service quality of multi‐channel and “pure player” internet retailers , 2006 .

[51]  Leo R. Vijayasarathy,et al.  Predicting consumer intentions to use on-line shopping: the case for an augmented technology acceptance model , 2004, Inf. Manag..

[52]  Allan Kuchinsky,et al.  Integrating user-perceived quality into Web server design , 2000, Comput. Networks.

[53]  Naveen Donthu,et al.  Using the technology acceptance model to explain how attitudes determine Internet usage: The role of perceived access barriers and demographics , 2006 .

[54]  Mary Ann Eastlick,et al.  Understanding online B-to-C relationships: An integrated model of privacy concerns, trust, and commitment , 2006 .

[55]  Gerald L. Lohse,et al.  Electronic shopping , 1998, CACM.

[56]  Robert H. Ducoffe ADVERTISING VALUE AND ADVERTISING ON THE WEB , 1996 .

[57]  R. Sitgreaves Psychometric theory (2nd ed.). , 1979 .

[58]  Peter B. Seddon A Respecification and Extension of the DeLone and McLean Model of IS Success , 1997, Inf. Syst. Res..

[59]  V. Mummalaneni,et al.  An empirical investigation of Web site characteristics, consumer emotional states and on-line shopping behaviors , 2005 .

[60]  Sean F. Ennis,et al.  Cross‐industry analysis of consumer assessments of internet retailers' service performances , 2006 .

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

[62]  Shane S. Dikolli,et al.  Relating e‐satisfaction to behavioral outcomes: an empirical study , 2004 .

[63]  Harry L. Reif,et al.  Identifying purchase perceptions that promote frequent e-commerce buying , 2006 .