Risk-Focused E-Commerce Adoption Model: A Cross-Country Study

Abstract

While e-Commerce has proliferated with the growth of the Internet, there have been insufficient research efforts concerning its status in Korea. The United States, in contrast, has made significant efforts in making empirical research on the consumer's adoption of e-Commerce. This paper validates the e-Commerce Adoption Model (e-CAM) on the two countries. e-CAM integrates the technology acceptance model with the theories of perceived risk to explain the eCommerce adoption. The study findings not only provide interim support for the generalizability of e-CAM, but also suggest that online firms should consider these contextual factors in order to facilitate consumers' adoption behavior.

Determinants of customer intentions for online shopping: A Study from Pakistan

“…PR adversely affects consumer behavior to shop online (Bhatnagar et al, Park et al, 2004. projected five dimensions of comprehensive PR if OS: time, privacy economic, performance and social risk.…”

A Study of Factors Affecting Customer Adoption of 3G Service in China

“…In e-business, perceived risk can be referred to a transactional risk possibly faced by customers when trading through electronic channels [12]. A lot of research verified that perceived risk is the main obstacle to customers adopting internet service [12]. Thus, we can infer that perceived risk will reduce customers' perceived value.…”

“…Customers will perceive risk when feeling that their buying target can impossibly be reached from their buying experiences [11]. In e-business, perceived risk can be referred to a transactional risk possibly faced by customers when trading through electronic channels [12]. A lot of research verified that perceived risk is the main obstacle to customers adopting internet service [12].…”

“…And then we revised and modified the questions in the light of the suggestions and opinions of some experts from the research fields of internet marketing and e-commerce. The scale of adoption is designed in line with the research by Davis [13], the scale of perceived value and perceived service quality are developed in the light of the study by Zeithaml [9], the scale of perceived risk is developed according to the research by Park et al [12], the scale of perceived enjoyment is designed on the basis of the research by Moon & Kim [15], the scale of perceived price is designed in the light of the research by Jacoby & Olson [17], and the scale of industry standard is developed based on the research by Karjaluoto [5].…”

Factors driving employee participation in corporate BYOD programs: A cross-national comparison from the perspective of future employees

“…Previous crosscountry IS studies have examined the role of national cultures in influencing customer satisfaction with online stores (Lee et al 2009), behavioural intention towards usage of instant messaging services (Li et al, 2010), purchasing behaviour in e-commerce (Park et al 2004) and security awareness (Schmidt et al 2008) to name just a few.…”