Customer Decision Support Systems: Resources for Student Decision Making

This paper highlights the potential of customer decision support systems (CDSS) to assist students in education-related decision making. Faculty can use these resources to more effectively advise students on various elements of college life, while students can employ them to more actively participate in their own learning and improve their academic experience. This conceptual paper summarizes consumer decision support systems (CDSS) concepts and presents exemplar websites students could utilize to support their education-related decision making. Finally, the authors discuss the potential benefits and drawbacks such resources engender from a student perspective and conclude with directions for future research.

[1]  Robert M. O'Keefe,et al.  Web-based customer decision support systems , 1998, CACM.

[2]  S. Kelley,et al.  The Education Service Encounter: The Socialization of Students , 1991 .

[3]  Kathryn Waite,et al.  Consumer expectations of online information provided by bank websites , 2002 .

[4]  Robert E. Widing,et al.  Are interactive decision aids better than passive decision aids? A comparison with implications for information providers on the internet , 2002 .

[5]  S. Swanson,et al.  A View from the Podium: Classroom Successes, Failures, and Recovery Strategies , 2002 .

[6]  C. H. Kriebel.  Management information systems , 1970, ACM '70.

[7]  Michael Guolla,et al.  STUDENT SATISFACTION RELATIONSHIP: APPLIED CUSTOMER SATISFACTION RESEARCH IN THE CLASSROOM , 1999 .

[8]  Valerie J. Trifts,et al.  Consumer Decision Making in Online Shopping Environments: The Effects of Interactive Decision Aids , 2000 .

[9]  R. Pereira.  Factors influencing consumer perceptions of Web‐based decision support systems , 1999 .

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

[11]  Erik Brynjolfsson,et al.  Consumer Decision-Making at an Internet Shopbot , 2001 .

[12]  Students as Consumers of Postsecondary Education: A Framework for Analysis , 1978 .

[13]  Janice Newson.  Disrupting the ‘Student as Consumer’ Model: the New Emancipatory Project , 2004 .

[14]  J. Armstrong,et al.  The Devil's Advocate Responds to an Mba Student's Claim that Research Harms Learning , 1995 .

[15]  Daniel L. Sherrell,et al.  Communications of the Association for Information Systems , 1999 .

[16]  Kieran Mathieson,et al.  Web-Based Consumer Decision Tools: Motivations and Constraints , 1999, Electron. Mark..

[17]  Daniel J. Power,et al.  Specifying An Expanded Framework for Classifying and DescribingDecision Support Systems , 2004, Commun. Assoc. Inf. Syst..

[18]  Stephen B. Castleberry,et al.  Using Secondary Data in Marketing Research: A Project That Melds Web and Off-Web Sources , 2001 .

[19]  W. Cunningham,et al.  Reflections on the Use of Instructional Technologies in Marketing Education , 2002 .

[20]  Thomas F. Stafford.  Consumption Values and the Choice of Marketing Electives: Treating Students Like Customers , 1994 .

[21]  Karen A. Berger,et al.  Technology to Enhance Learning: Use of a Web Site Platform in Traditional Classes and Distance Learning , 2001 .

[22]  Peter A. Todd,et al.  Solutions-driven marketing , 2002, CACM.

[23]  Rudolf R. Sinkovics,et al.  Towards the “Internetalization” of International Marketing Education , 2001 .

[24]  Margaret Rangecroft,et al.  Measuring the satisfaction gap: Education in the market-place , 1999 .

[25]  S. Swanson,et al.  A View from the Aisle: Classroom Successes, Failures and Recovery Strategies , 2000 .

[26]  A. K. Grennan,et al.  High Impact , 2005, Plant Physiology.