Understanding Factors Affecting Mobile Services Adoption-Reference-Cited by-同舟云学术

Understanding Factors Affecting Mobile Services Adoption

Published:2014-07 Issue:3 Volume:6 Page:60-79
ISSN:1935-5688
Container-title:International Journal of Information Systems in the Service Sector
language:en
Short-container-title:

Author:

Daim Tugrul U¹,Aldhaban Fahad¹,Justice Jay¹,Basoglu Nuri²

Affiliation:

1. Department of Engineering and Technology Management, Portland State University, Portland, OR, USA

2. Department of Management Information Systems, Bogazici University, Istanbul, Turkey

Abstract

Popularity of mobile services is increasing rapidly in Thailand and it is influencing daily life, business, and markets. Recently, more attention has been drawn towards mobile services due to the adoption of 3G in Thailand. This enhanced the competition in the telecommunication industry. Consequently, it became very critical for mobile services providers to better understand users and factors that affect users' adoption of mobile services. This paper aims to identify and study factors that impact mobile services adoption in Thailand. Factors and sub factors were identified and a survey was conducted. Factors were compared using Pairwise Comparison Method (PCM). Results of the analysis show that intermediary factors have the highest impact on users' intention to adopt mobile services followed by service characteristics factors and social factors respectively. The study provides an insight and information about factors influencing users' adoption of mobile services in Thailand.

Publisher

IGI Global

Subject

Information Systems and Management,Management Science and Operations Research,Strategy and Management,Information Systems,Management Information Systems

Reference24 articles.

1. Atici, B., & Bati, U. (2011). A consumer perception research on the subject of a new technology in a developing dynamic market: 3G technology in Turkey. International Journal of Information Systems in the Service Sector (IJISSS), 3(3), 47-59.

2. Development of a Tool for Measuring and Analyzing Computer User Satisfaction

3. Briesch, R., & Rajagopal, P. (2010). Neural network applications in consumer behavior. Journal of Consumer Psychology, 20(3), 381-389.

4. Chang, W.-L., & Yuan, S.-T. (2009). A Markov-based collaborative pricing system for information goods bundling. Expert Systems with Applications, 36(2, Part 1), 1660-1674.

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