What Factors Influence the Individual Impact of the Web? An Initial Model

References

• Ackoff , R. L. 1967 . ‘Management Misinformation Systems’ . Management Science , 14 : 147 – 56 .
   Google Scholar
• Agarwal , R. and Karahanna , E. 2000 . ‘Time Flies When You're Having Fun: Cognitive Absorption and Beliefs about Information Technology Usage’ . MIS Quarterly , 24 : 665 – 94 .
   Web of Science ®Google Scholar
• Agarwal , R. and Prasad , J. 1998 . ‘A Conceptual and Operational Definition of Personal Innovativeness in the Domain of Information Technology’ . Information Systems Research , 9 : 204 – 15 .
   Web of Science ®Google Scholar
• Atkinson , M. and Kydd , C. 1997 . ‘Individual Characteristics Associated With World Wide Web Use: An Empirical Study of Playfulness and Motivation’ . ACM SIGMIS Database , 28 : 53 – 62 .
   Web of Science ®Google Scholar
• Bailey , J. E. and Pearson , S. W. 1983 . ‘Development of a Tool for Measuring and Analyzing Computer User Satisfaction’ . Management Science , 29 : 530 – 45 .
   Web of Science ®Google Scholar
• Brown , F. G. 1976 . Principles of Educational and Psychological Testing , New York : Holt, Rinehart and Winston .
   Google Scholar
• Cao , M. , Zhang , Q. and Seydel , J. 2005 . ‘B2C e‐Commerce Web Site Quality: An Empirical Examination’ . Industrial Management & Data Systems , 105 : 645 – 61 .
   Web of Science ®Google Scholar
• Cockburn , A. and Mckenzie , B. 2001 . ‘What Do Web Users Do? An Empirical Analysis of Web Use’ . International Journal of Human‐Computer Studies , 54 : 903 – 22 .
   Web of Science ®Google Scholar
• D'Ambra , J. and Rice , R. 2001 . ‘Emerging Factors in User Evaluation of the World Wide Web’ . Information & Management , 38 : 373 – 84 .
   Web of Science ®Google Scholar
• Davis , F. D. 1989 . ‘Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology’ . MIS Quarterly , 13 : 319 – 40 .
   Web of Science ®Google Scholar
• Davis , F. D. , Bagozzi , R. P. and Warshaw , P. R. 1989 . ‘User Acceptance of Computer Technology: A Comparison of Two Theoretical Models’ . Management Science , 35 : 982 – 1003 .
   Web of Science ®Google Scholar
• Davis , F. D. , Bagozzi , R. P. and Warshaw , P. R. 1992 . ‘Extrinsic and Intrinsic Motivation to use Computers in the Workplace’ . Journal of Applied Social Psychology , 22 : 1111 – 32 .
   Web of Science ®Google Scholar
• DeLone , W. H. and McLean , E. R. 1992 . ‘Information Systems Success: The Quest for the Dependent Variable’ . Information Systems Research , 3 : 60 – 95 .
   Web of Science ®Google Scholar
• DeLone , W. H. and McLean , E. R. 2003 . ‘The DeLone and McLean Model of Information Systems Success: A Ten‐year Update’ . Journal of Management Information Systems , 19 : 9 – 30 .
   Web of Science ®Google Scholar
• Doll , W. J. and Torkzadeh , G. 1988 . ‘The Measurement of End‐User Computing Satisfaction’ . MIS Quarterly , 12 : 259 – 274 .
   Web of Science ®Google Scholar
• Einwiller , S. 2003 . ‘When Reputation Engenders Trust: An Empirical Investigation in Business‐to‐Consumer Electronic Commerce’ . Electronic Markets , 13 : 196 – 209 .
   Google Scholar
• Farhoomand , A. F. and Drury , D. H. (1996) . ‘Factors Influencing Electronic Data Interchange Success’ . ACM SIGMIS Database , 27 : 45 – 57 .
   Web of Science ®Google Scholar
• Gefen , D. , Karahanna , E. and Straub , D. W. 2003 . ‘Trust and TAM in Online Shopping: An Integrated Model’ . MIS Quarterly , 27 : 51 – 90 .
   Web of Science ®Google Scholar
• Gelderman , M. 1998 . ‘The Relation between User Satisfaction, Usage of Information Systems and Performance’ . Information & Management , 34 : 11 – 18 .
   Web of Science ®Google Scholar
• Greenspan , R. 2003 . “ ‘Regional Differences among Users’ ” . accessed 16 August 2004 from: http://www.clickz.com/stats/big_picture/stats_toolbox/article.php/157011
   Google Scholar
• Hackbarth , G. , Grover , V. and Yi , M. Y. 2003 . ‘Computer Playfulness and Anxiety: Positive and Negative Mediators of the System Experience Effect on Perceived Ease of Use’ . Information & Management , 40 : 221 – 32 .
   Web of Science ®Google Scholar
• Hess , T. J. , Fuller , M. A. and Mathew , J. 2006 . ‘Involvement and Decision‐Making Performance with a Decision Aid: The Influence of Social Multimedia, Gender, and Playfulness’ . Journal of Management Information Systems , 22 : 15 – 54 .
   Google Scholar
• Huizingh , E. K. R. E. 2002 . ‘The Antecedents of Web Site Performance’ . European Journal of Marketing , 36 : 1225 – 47 .
   Google Scholar
• Kim , K. K. and Prabhakar , B. 2004 . ‘Initial Trust and the Adoption of B2C e‐Commerce: The Case of Internet Banking’ . The Database for Advances in Information Systems , 35 : 50 – 65 .
   Google Scholar
• Kraut , R. , Scherlis , W. , Mukhopadhyay , T. , Manning , J. and Kiesler , S. 1996 . ‘Homenet: A Field Trial of Residential Internet Services’ . Communications of the ACM , 39 : 55 – 63 .
   Web of Science ®Google Scholar
• Larsen , T. J. and Sorebo , Ø. 2005 . ‘Impact of Personal Innovativeness on the Use of the Internet among Employees at Work’ . Journal of Organizational and End User Computing , 17 : 43 – 63 .
   Google Scholar
• Laudon , K. C. and Traver , C. G. 2004 . E‐commerce: Business, Technology, Society , Boston, MA : Pearson Education, Inc .
   Google Scholar
• Leung , H. K. N. 2001 . ‘Quality Metrics for Intranet Applications’ . Information & Management , 38 : 137 – 52 .
   Web of Science ®Google Scholar
• Lightner , N. J. and Eastman , C. M. 2002 . ‘User Preference for Product Information in Remote Purchase Environments’ . Journal of Electronic Commerce Research , 3 : 174 – 86 .
   Google Scholar
• Lindroos , K. 1997 . ‘Use Quality and the World Wide Web’ . Information and Software Technology , 39 : 827 – 36 .
   Web of Science ®Google Scholar
• Liu , C. and Arnett , K. P. 2000 . ‘Exploring the Factors Associated with Web Site Success in the Context of Electronic Commerce’ . Information and Management , 38 : 23 – 33 .
   Web of Science ®Google Scholar
• Liu , C. , Arnett , K. P. , Capella , L. M. and Beatty , R. C. 1997 . ‘Web Sites of the Fortune 500 Companies: Facing Customers through Home Pages’ . Information and Management , 31 : 335 – 45 .
   Web of Science ®Google Scholar
• McCloskey , D. W. 2006 . ‘The Importance of Ease of Use, Usefulness, and Trust to Online Consumers: An Examination of the Technology Acceptance Model with Older Consumers’ . Journal of Organizational and End User Computing , 18 : 47 – 65 .
   Google Scholar
• McKnight , D. H. , Choudhury , V. and Kacmar , C. 2002 . ‘Developing and Validating Trust Measures for e‐Commerce: An Integrative Typology’ . Information Systems Research , 13 : 334 – 59 .
   Web of Science ®Google Scholar
• Millman , Z. and Hartwick , J. 1987 . ‘The Impact of Automated Office Systems on Middle Managers and Their Work’ . MIS Quarterly , 11 : 479 – 91 .
   Web of Science ®Google Scholar
• Molla , A. and Licker , P. S. 2001 . ‘E‐commerce Systems Success: An Attempt to Extend and Respecify the DeLone and McLean Model of IS Success’ . Journal of Electronic Commerce Research , 2 : 1 – 11 .
   Google Scholar
• Nah , F. F‐H. and Davis , S. 2002 . ‘HCI Research Issues in e‐Commerce’ . Journal of Electronic Commerce Research , 3 : 98 – 113 .
   Google Scholar
• Palmer , J. W. 2002 . ‘Web Site Usability, Design, and Performance Metrics’ . Information Systems Research , 13 : 151 – 167 .
   Web of Science ®Google Scholar
• Page‐Thomas , K. 2006 . ‘Measuring Task‐specific Perceptions of the World Wide Web’ . Behaviour & Information Technology , 25 : 469 – 77 .
   Web of Science ®Google Scholar
• Rabin , S. 2001 . ‘Providing a High‐Performing Commerce Site’ . Information Systems Management , 18 : 40 – 51 .
   Web of Science ®Google Scholar
• Ranganathan , C. and Ganapathy , S. 2002 . ‘Key Dimensions of Business‐to‐Consumer Web Sites’ . Information & Management , 39 : 457 – 65 .
   Web of Science ®Google Scholar
• Saadé , R. and Bahli , B. 2005 . ‘The Impact of Cognitive Absorption on Perceived Usefulness and Perceived Ease of Use in Online Learning: An Extension of the Technology Acceptance Model’ . Information and Management , 42 : 317 – 27 .
   Web of Science ®Google Scholar
• Schonberg , E. , Cofino , T. , Hoch , R. , Podlaseck , M. and Spraragen , S. L. 2000 . ‘Measuring Success’ . Communications of the ACM , 43 : 53 – 7 .
   Google Scholar
• Sterne , J. 1996 . Customer Service on the Internet: Building Relationships, Increasing Loyalty, and Staying Competitive , New York : John Wiley & Sons, Inc .
   Google Scholar
• Wang , H. , Xie , M. and Goh , T. N. 1999 . ‘Service Quality of Internet Search Engines’ . Journal of Information Science , 25 : 499 – 507 .
   Web of Science ®Google Scholar
• Webster , J. and Martocchio , J. J. 1992 . ‘Microcomputer Playfulness: Development of a Measure with Workplace Implications’ . MIS Quarterly , 16 : 201 – 26 .
   Web of Science ®Google Scholar
• Webster , J. , Trevino , L. and Ryan , L. 1993 . ‘The Dimensionality and Correlates of Flow in Human–Computer Interactions’ . Computers in Human Behavior , 9 : 411 – 26 .
   Web of Science ®Google Scholar
• Zeithaml , V. A. , Berry , L. L. and Parasuraman , A. 1996 . ‘The Behavioral Consequences of Service Quality’ . Journal of Marketing , 60 : 31 – 46 .
   Web of Science ®Google Scholar