Multichannel shopping: the relationship between search and purchase channel choice

Multichannel retailing increasingly involves consumers searching for information online and then choosing to buy products from a variety of channel options. The Internet will continue to have a major impact on consumer information search behaviour, however little is known about the relationship between online search behaviour and purchase channel choice. In this article, we consider the drivers of this relationship through an investigation of the utilitarian and hedonic shopping values of Internet users and present a conceptual model to represent these relationships. This paper contributes to our understanding of multichannel buying behaviour and provides considerations for online media suppliers and media buyers.

[1]  Ting-Peng Liang,et al.  An empirical study on consumer acceptance of products in electronic markets: a transaction cost model , 1998, Decis. Support Syst..

[2]  Edward E. Rigdon,et al.  The effect of dynamic retail experiences on experiential perceptions of value: an Internet and catalog comparison , 2002 .

[3]  I. Ajzen,et al.  Belief, Attitude, Intention, and Behavior: An Introduction to Theory and Research , 1977 .

[4]  B. Ratchford,et al.  The impact of the internet on consumers' use of information sources for automobiles : A re-inquiry , 2007 .

[5]  Terry L. Childers,et al.  HEDONIC AND UTILITARIAN MOTIVATIONS FOR ONLINE RETAIL SHOPPING BEHAVIOR , 2001 .

[6]  David A. Griffith,et al.  Consumer derived utilitarian value and channel utilization in a multi-channel retail context , 2005 .

[7]  Florian Zettelmeyer,et al.  How the Internet Lowers Prices: Evidence from Matched Survey and Automobile Transaction Data , 2006 .

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

[9]  Aleck C. H. Lin,et al.  Developing a scale to measure the enjoyment of Web experiences , 2008 .

[10]  Arvind Rangaswamy,et al.  Opportunities and challenges in multichannel marketing: An introduction to the special issue , 2005 .

[11]  David M. Shannon,et al.  Development of a scale to measure the perceived benefits and risks of online shopping , 2006 .

[12]  Barry Berman,et al.  A guide to developing and managing a well‐integrated multi‐channel retail strategy , 2004 .

[13]  N. Malhotra,et al.  Marketing Research: An Applied Approach , 2000 .

[14]  A. Hausman,et al.  The effect of web interface features on consumer online purchase intentions , 2009 .

[15]  S. Neslin,et al.  Multichannel Shopper Segments and Their Covariates , 2008 .

[16]  Natalie R. Collins,et al.  Multichannel retailing: profiling the multichannel shopper , 2007 .

[17]  I. Ajzen.  The theory of planned behavior , 1991 .

[18]  R. Peterson,et al.  Consumer information search behavior and the internet , 2003 .

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

[20]  Lisa R. Klein.  Evaluating the Potential of Interactive Media through a New Lens: Search versus Experience Goods , 1998 .

[21]  S. Neslin,et al.  Multichannel customer management: Understanding the research-shopper phenomenon , 2007 .

[22]  R. Feinberg,et al.  E-tailers versus retailers , 2004 .

[23]  V. Zeithaml.  Consumer Perceptions of Price, Quality, and Value: A Means-End Model and Synthesis of Evidence: , 1988 .

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

[25]  Didier Soopramanien,et al.  Adoption and usage of online shopping: an empirical analysis of the characteristics of ‘‘buyers’’ ‘‘browsers’’ and ‘‘non-internet shoppers’’ , 2007 .

[26]  L. Stoel,et al.  Consumer e-shopping acceptance: Antecedents in a technology acceptance model , 2009 .

[27]  Dhruv Grewal,et al.  Internet retailing: enablers, limiters and market consequences , 2004 .

[28]  Mary Ann Eastlick,et al.  An online prepurchase intentions model: The role of intention to search , 2001 .