Journal of Open Innovation: Technology, Market and Complexity (Sep 2022)

Boosting Online Purchase Intention in High-Uncertainty-Avoidance Societies: A Signaling Theory Approach

  • Ahmad Samed Al-Adwan,
  • Mohammad Kasem Alrousan,
  • Husam Yaseen,
  • Amer Muflih Alkufahy,
  • Malek Alsoud

Journal volume & issue
Vol. 8, no. 3
p. 136

Abstract

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ABSTRACT: Despite the fact that online purchase intention has been widely investigated, little is known about the e-retailer-based signals used to reduce online customers’ uncertainty perception in high-uncertainty-avoidance (UA) societies. Thus, based on signaling and uncertainty literature, this study investigates return policy leniency (RPL), cash on delivery (COD), and social commerce constructs (SCCs) as the costly signals e-retailers use to increase perceived trust and reduce perceived purchase uncertainty among customers in high-UA societies. An analysis of empirical data from 560 e-commerce users from Jordan reveals that RPL, COD, and SCCs are key enablers of customer trust. Furthermore, customer trust is positively associated with customer purchase intention. The implications for both theory and practice are highlighted.

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