Website Functions and Shopping Strategies: Ontological Framework and Synthesis

Proceedings of the Twentieth Americas Conference on Information Systems, pp. 1-9, 2014

9 Pages Posted: 11 Aug 2014

See all articles by Amer Aljarallah

Amer Aljarallah

University of Illinois at Chicago - College of Business Administration

Arkalgud Ramaprasad

University of Illinois at Chicago - Department of Information and Decision Sciences

Date Written: August 9, 2014

Abstract

In this research, we provide a comprehensive view of the factors related to website functions that influence shopping strategies leading to outcomes such as repurchase, purchase, no purchase, and rejection. We develop an ontological framework that encompasses 80 problem statements, and we used the framework to perform meta-analysis of the extant literature and map it. The results describe the state-of-research and highlight the bright, light, and blind/blank areas in the domain. We discuss the implications of our framework and the meta-analysis. We show that our ontological framework provides a new lens to explore the issues in the domain. Our analysis reveals that the current state-of-research is saturated with bright areas such as the studies of Ease of use & navigation factors while it lacks the attention towards blind/blank areas such as Shopping strategies. We conclude with open research questions and a discussion of limitations of our research.

Keywords: Ontological Meta-Analysis, Website Functions, Shopping Strategies, Purchase Intentions

Suggested Citation

Aljarallah, Amer and Ramaprasad, Arkalgud, Website Functions and Shopping Strategies: Ontological Framework and Synthesis (August 9, 2014). Proceedings of the Twentieth Americas Conference on Information Systems, pp. 1-9, 2014, Available at SSRN: https://ssrn.com/abstract=2478189

Amer Aljarallah

University of Illinois at Chicago - College of Business Administration ( email )

601 South Morgan Street
11th Floor
Chicago, IL 60607
United States

Arkalgud Ramaprasad (Contact Author)

University of Illinois at Chicago - Department of Information and Decision Sciences ( email )

601 S Morgan St. (MC 294)
Chicago, IL 60607
United States
+1 312 772 3819 (Phone)

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