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'How Does Web Personalization Create Value? Lower Cash Flow Volatility or Enhanced Cash Flows'

Authors: Kartik Kalaignanam; Tarun Kushwaha; Koushyar Rajavi;

'How Does Web Personalization Create Value? Lower Cash Flow Volatility or Enhanced Cash Flows'

Abstract

This study examines the performance consequences of web personalization (WP), a type of personalization in which web content is personalized and recommendations are offered based on customer preferences. Despite the growing popularity of personalization, there is a dearth of research at the firm level on whether and how web personalization creates shareholder value. We develop and test a conceptual model that proposes that the impact of WP on shareholder value is mediated by 1) cash flow volatility and 2) premium price. The hypotheses are tested based on 603 firm-quarter observations spanning 80 firms over six years in the online financial services industry. The results suggest that while WP lowers the volatility of cash flows, it only enables firms to charge premium prices when online trust is high. Additional tests reveal that the reduction in cash flow volatility is because of lower churn as opposed to acquiring new customers or greater cross-buying. Finally, online trust positively moderates the relationship between WP and cash flow volatility and price premia. Practical implications of the findings are discussed.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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