C
C. Ranganathan
Researcher at University of Illinois at Chicago
Publications - 64
Citations - 3996
C. Ranganathan is an academic researcher from University of Illinois at Chicago. The author has contributed to research in topics: Outsourcing & Vendor. The author has an hindex of 24, co-authored 64 publications receiving 3762 citations. Previous affiliations of C. Ranganathan include University of Illinois at Urbana–Champaign & College of Business Administration.
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Journal ArticleDOI
Key dimensions of business-to-consumer web sites
C. Ranganathan,Shobha Ganapathy +1 more
TL;DR: Though all dimensions of a B2C web site seem to have an impact on the online purchase intent of consumers, security and privacy were found to have greater effect on the purchaseintent of consumers.
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ERP Investments and the Market Value of Firms: Toward an Understanding of Influential ERP Project Variables
C. Ranganathan,Carol V. Brown +1 more
TL;DR: Findings provide empirical support for prior theory about the organizational integration benefits of ERP systems, the contribution of complementary resource investments to the business value of IT investments, and the growth options associated with IT platform investments.
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Assimilation and Diffusion of Web Technologies in Supply-Chain Management: An Examination of Key Drivers and Performance Impacts
TL;DR: It is suggested that internal assimilation and external diffusion of Web technologies both significantly affect the benefits realized by SCM, and supplier interdependence and information technology intensity are important environmental factors affecting external diffusion.
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Adopters and non-adopters of business-to-business electronic commerce in Singapore
TL;DR: This effort examined Web-based B2B e-commerce initiatives in Singapore, an island of 650 km2 in South-East Asia, and found that 52.8% firms have adopted B2 B e- commerce; of these, two-third had a formal plan and/or task force for B2C e- Commerce deployment.
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Two-level model of customer retention in the US mobile telecommunications service market
TL;DR: In this paper, a binary logistic regression model and a two-level hierarchical linear model were used to understand the factors related to customer retention behavior, both behavioral factors such as switching costs and customer satisfaction and demographic factors.