Article ID: | iaor2008278 |
Country: | Netherlands |
Volume: | 42 |
Issue: | 2 |
Start Page Number: | 898 |
End Page Number: | 914 |
Publication Date: | Nov 2006 |
Journal: | Decision Support Systems |
Authors: | Mahajan Vijay, Chircu Alina M. |
Keywords: | artificial intelligence: decision support, retailing |
We investigate how electronic commerce retailers, or e-tailers, manage transaction costs and generate customer value. We integrate information systems and marketing theories in a framework for transaction cost management based on four contingency factors: channel, customer, product and shopping occasion characteristics. We build the framework using archival case studies and validate it with customer interviews. We show that trying to minimize the entire cost of retail transactions is either unsustainable or devalues the customer shopping experience. Instead, looking at transactions as a series of atomic steps enables e-tailers to better understand and manage what really matters for consumers.