Web‐shoppers and non‐shoppers: compatibility, relative advantage and demographics

This study investigated differences between Web‐shoppers and non‐shoppers, in terms of compatibility, relative advantage and demographics. Stepwise discriminant analysis was applied on a sample of 165 personally interviewed consumers, which showed that compatibility and relative advantage were overall successful, whereas, demographics were unsuccessful, in distinguishing Web‐shoppers from non‐shoppers. Significant variables included three factors of compatibility (use of direct shopping; use of Web browsing activities at home; and use of Web browsing activities at the office), and two factors of relative advantage (motives; and impediments). Managerial implications for targeting prospective Web‐shoppers and designing better‐grounded consumer Web‐marketing strategies are also discussed, together with study limitations and directions for future research.

[1]  Soyeon Shim,et al.  Consumer intention to utilize electronic shopping , 1990 .

[2]  Raj Mehta,et al.  Direct marketing on the internet: An empirical assessment of consumer attitudes , 1995 .

[3]  P. McGoldrick The Acceptance of Electronic Shopping: A Question of Control? , 1997 .

[4]  Thomas D. Wilson,et al.  Business use of the World-Wide Web , 1996, Inf. Res..

[5]  Rashi Glazer Marketing in an Information-Intensive Environment: Strategic Implications of Knowledge as an Asset , 1991 .

[6]  S. Lundstedt Interpersonal risk theory. , 1966, The Journal of psychology.

[7]  Fiona E. Ellis-Chadwick,et al.  Retailer adoption of the Internet – Implications for retail marketing , 2000 .

[8]  Michael R. Ward,et al.  Internet shopping, consumer search and product branding , 2000 .

[9]  William S. Sekely,et al.  Retail attributes: Influence on shopping mode choice behavior. , 1994 .

[10]  Prem Shamdasani,et al.  An exploratory study of in-home shoppers in a concentrated retail market: The case of Singapore , 1995 .

[11]  Patrali Chatterjee,et al.  Commercial Scenarios for the Web: Opportunities and Challenges , 1997, J. Comput. Mediat. Commun..

[12]  Christian Homburg,et al.  Applications of structural equation modeling in marketing and consumer research: A review , 1996 .

[13]  F. Reynolds An Analysis of Catalog Buying Behavior , 1974 .

[14]  B. Gold Technological Diffusion in Industry: Research Needs and Shortcomings , 1981 .

[15]  William R. Darden,et al.  Work and/or Fun: Measuring Hedonic and Utilitarian Shopping Value , 1994 .

[16]  J Hagel,et al.  The coming battle for customer information. , 1997, Harvard business review.

[17]  E. M. Rogers,et al.  The 'Critical Mass' in the Diffusion of Interactive Technologies , 1990, Modelling the Innovation.

[18]  E. Krapf [On depersonalization]. , 1951, L'Encephale.

[19]  T. S. Robertson,et al.  Technology Diffusion: An Empirical Test of Competitive Effects , 1989 .

[20]  A. Bandura Self-efficacy: toward a unifying theory of behavioral change. , 1977, Psychology Review.

[21]  ByungHeon Chung,et al.  The acceptance of in , 2005 .

[22]  P. A. Dabholkar Consumer evaluations of new technology-based self-service options: An investigation of alternative models of service quality , 1996 .

[23]  Andrew B. Whinston Electronic Commerce: A Shift in Paradigm , 1997, IEEE Internet Computing.

[24]  William Theodore Bolton,et al.  The perception and potential adoption of Channel 2000 : implications for diffusion theory and videotex technology / , 1981 .

[25]  D. G. Morrison On the Interpretation of Discriminant Analysis , 1969 .

[26]  George A. Morgan,et al.  In-home videotex shopping: potential adopters and non-adopters , 1991 .

[27]  R. Wigand,et al.  Electronic Markets and Virtual Value Chains on the Information Superhighway , 1995 .

[28]  J. Steenkamp,et al.  Exploratory consumer buying behavior: conceptualization and measurement. , 1996 .

[29]  Edward E. Rigdon,et al.  Experiential value: Conceptualization, measurement and application in the catalog and Internet shopping environment. , 2001 .

[30]  Mary Ann Eastlick Predictors of videotex adoption , 1993 .

[31]  Daniel L. Sherrell,et al.  Extending the concept of shopping: An investigation of browsing activity , 1989 .

[32]  P. Gillett A Profile of Urban In-home Shoppers , 1970 .

[33]  Fred D. Davis,et al.  User Acceptance of Computer Technology: A Comparison of Two Theoretical Models , 1989 .

[34]  E. Rogers Diffusion of Innovations , 1962 .

[35]  R. Watson,et al.  Marketing communication and the world wide web , 1996 .

[36]  I. Ajzen Attitudes, Personality and Behavior , 1988 .

[37]  John A. Quelch,et al.  Non-Store Marketing: Fast Track or Slow? , 1981 .

[38]  Fred D. Davis A technology acceptance model for empirically testing new end-user information systems : theory and results , 1985 .

[39]  M. J. Norušis,et al.  SPSS 6.1 Guide to Data Analysis , 1997 .

[40]  T. S. Robertson,et al.  Innovative behavior and communication , 1972 .

[41]  Michael A. McCollough,et al.  Assessing the characteristics of the non-store shopper , 1994 .

[42]  Donald F. Cox,et al.  Perceived Risk and Consumer Decision-Making—The Case of Telephone Shopping , 1964 .

[43]  Gilbert A. Churchill,et al.  Research Design Effects on the Reliability of Rating Scales: A Meta-Analysis: , 1984 .

[44]  E. Hirschman,et al.  Hedonic Consumption: Emerging Concepts, Methods and Propositions , 1982 .

[45]  John G. Lynch,et al.  Interactive Home Shopping: Consumer, Retailer, and Manufacturer Incentives to Participate in Electronic Marketplaces , 1997 .

[46]  M. Lynne Markus,et al.  Toward a “Critical Mass” Theory of Interactive Media , 1987 .

[47]  John Hagel,et al.  Real Profits from Virtual Communities , 1995 .

[48]  Neil F. Doherty,et al.  Cyber retailing in the UK: the potential of the Internet as a retail channel , 1999 .

[49]  Philip A. Titus,et al.  The consumer retail search process: A conceptual model and research agenda , 1995 .

[50]  William G. Ouchi,et al.  Markets, Bureaucracies, and Clans. , 1980 .