Value-based Adoption of Mobile Internet: An empirical investigation

Hee Woong Kim, Hock Chuan Chan, Sumeet Gupta

Research output: Contribution to journalArticle

810 Citations (Scopus)

Abstract

This study examines the adoption of Mobile Internet (M-Internet) as a new Information and Communication Technology (ICT) from the value perspective. M-Internet is a fast growing enabling technology for Mobile Commerce. However, despite its phenomenal growth and although M-Internet essentially provides the same services as stationary Internet, its adoption rate in many countries is very low compared to that of stationary Internet. The well-known Technology Adoption Model (TAM) has been used for explaining the adoption of traditional technologies. Most adopters and users of traditional technologies (e.g., spreadsheet, word processor) are employees in an organizational setting who use the technology for work purposes, and the cost of mandatory adoption and usage is borne by the organization. In contrast, adopters and users of M-Internet are individuals who play the dual roles of technology user and service consumer. Most of them adopt and use it for personal purposes, and the cost of voluntary adoption and usage is borne by the individuals. Thus, the adopters of new ICT, especially M-Internet, are also consumers rather than simply technology users. By adopting the theory of consumer choice and decision making from economics and marketing research, this study develops the Value-based Adoption Model (VAM) and explains customers' M-Internet adoption from the value maximization perspective. The findings demonstrate that consumers' perception of the value of M-Internet is a principal determinant of adoption intention, and the other beliefs are mediated through perceived value. The theoretical and practical implications of VAM related to M-Internet are discussed.

Original languageEnglish
Pages (from-to)111-126
Number of pages16
JournalDecision Support Systems
Volume43
Issue number1
DOIs
Publication statusPublished - 2007 Feb

All Science Journal Classification (ASJC) codes

  • Management Information Systems
  • Information Systems
  • Developmental and Educational Psychology
  • Arts and Humanities (miscellaneous)
  • Information Systems and Management

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