DocumentCode
375210
Title
Selecting the best e-commerce product for a retail chain-the analytic hierarchy process model
Author
Lokachairi, P.S. ; Raj, Gunavardhan ; Lima, David D.
Author_Institution
Tata Consultancy Services, Minneapolis, MN, USA
Volume
1
fYear
2001
fDate
2001
Abstract
Retail firms have been in the forefront of the business-to-consumer (B2C) initiatives as they run the whole gamut of transformation from branding and information-centered activities to online sales and innovation-driven marketing. The paradigm shift in business objective from mere selling of products and services to ´owning a share of life of guests´ can also be observed from the new networks and alliances between retail firms and other businesses with complementing business goals. A US-based retail chain has been exploring avenues for enhancing its B2C e-commerce capabilities by embarking on a series of initiatives that inter alia includes a comprehensive study on related software products currently available in the market. This paper focuses on evaluation of the e-commerce products in terms of their technical features and services offered as well as exploring their suitability to meet the specific business priorities of the firm. The analytic hierarchy process (AHP) model has been employed for selecting the best product
Keywords
electronic commerce; management; retail data processing; USA; analytic hierarchy process model; best product selection; branding; business goals; business objective; business priorities; business-to-consumer initiatives; e-commerce product; information-centered activities; innovation-driven marketing; online sales; retail chain; Analytical models; Availability; Business; Content management; Decision making; Isolation technology; Marketing and sales; Performance analysis; Research and development management; Technology management;
fLanguage
English
Publisher
ieee
Conference_Titel
Management of Engineering and Technology, 2001. PICMET '01. Portland International Conference on
Conference_Location
Portland, OR
Print_ISBN
1-890843-06-7
Type
conf
DOI
10.1109/PICMET.2001.951870
Filename
951870
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