How Well Do E-Commerce Web Sites Support Compensatory and Non-Compensatory Decision Strategies? An Exploratory Study

The burgeoning growth of online retailing is forcing businesses to provide better support for consumer decision making on e-commerce Web sites. Consequently, researchers in information systems and marketing have been focusing on investigating the effectiveness of Web-based decision support systems (WebDSS) in providing accurate and satisfying choices for customers. We consider WebDSS implementation based on compensatory, non-compensatory decision strategies and synthesize the existing literature. The results of synthesis show that compensatory WebDSS perform better than non-compensatory WebDSS in terms of decision quality, satisfaction, effort, and confidence. We then investigate the level of Web site support provided for consumers’ execution of compensatory and non-compensatory strategies. We examined 375 U.S.-based company Web sites and found that though moderate levels of support exists for consumers to implement non-compensatory choice strategies, virtually no support exists for executing multi-attributebased compensatory choice strategies.

[1]  Mehruz Kamal,et al.  Information Technology Interventions for Growth and Competitiveness in Micro-Enterprises , 2009, Int. J. E Bus. Res..

[2]  Tobias Kollmann,et al.  Reverse Auctions in the Service Sector: The Case of LetsWorkIt.de , 2007, Int. J. E Bus. Res..

[3]  M. Hunter,et al.  Strategic Information Systems: Concepts, Methodologies, Tools, and Applications , 2009 .

[4]  Rami Qahwaji,et al.  The Human Face of E-Business: Engendering Consumer Initial Trust Through the Use of Images of Sales Personnel on E-Commerce Web Sites , 2008, Int. J. E Bus. Res..

[5]  L. Batista CRM Practices and Resources for the Development of Customer-Focused Multinational Organizations , 2010 .

[6]  Farshad Fotouhi,et al.  Enhancing E-Business on the Semantic Web through Automatic Multimedia Representation , 2007 .

[7]  In Lee,et al.  Electronic Business: Concepts, Methodologies, Tools, and Applications , 2008 .

[8]  Frank G. Goethals,et al.  Editorial Preface : International Journal of E-Business Research , 2022 .

[9]  Torsten Brodt Identified Customer Requirements in Mobile Video Markets—A Pan-European Case , 2006 .

[10]  Thomas F. Stafford Computer Self-Efficiency as an Antecedent to the Acceptance of Instant Messenger Technology , 2005, Int. J. E Bus. Res..

[11]  Yingxu Wang,et al.  The Cognitive Process of Decision Making , 2007, Int. J. Cogn. Informatics Nat. Intell..

[12]  M. Gordon Hunter Selected Readings on Strategic Information Systems , 2008 .

[13]  Konrad Janusz Peszynski Understanding Human Factors in Systems Selection and Implementation: Exploring the Role of Power and Politics , 2010, Int. J. Strateg. Inf. Technol. Appl..

[14]  Petros Theodorou,et al.  Strategic Information Technology and Portfolio Management , 2009 .

[15]  Karna Naidoo Examining the Approach Used for Information Technology Investment Decisions by Practitioners Responsible for IT Planning in Namibia , 2008 .

[16]  Robert B. Johnston,et al.  Toward a Theory of IOIS Variance: A New Framework for Studying Inter-organisational Information Systems , 2010, Int. J. Strateg. Inf. Technol. Appl..

[17]  Mahesh S. Raisinghani,et al.  E-Business Models in B2B: Process Based Categorization and Analysis of B2B Models , 2005, Int. J. E Bus. Res..