National Changhua University of Education Institutional Repository : Item 987654321/15915
English  |  正體中文  |  简体中文  |  Items with full text/Total items : 6507/11669
Visitors : 29936090      Online Users : 501
RC Version 3.2 © Powered By DSPACE, MIT. Enhanced by NTU Library IR team.
Scope Adv. Search
LoginUploadHelpAboutAdminister

Please use this identifier to cite or link to this item: http://ir.ncue.edu.tw/ir/handle/987654321/15915

Title: Predicting Consumer Intention to Use Mobile Service
Authors: Wang, Yi-Shun;Lin, Hsin-Hui;Luarn, Pin
Contributors: 資訊管理學系
Keywords: Mobile service;Theory of planned behaviour;Technology acceptance model;Perceived resources;Computer self-efficacy
Date: 2006-04
Issue Date: 2013-04-22T07:34:33Z
Publisher: Blackwell publishing Ltd
Abstract: Advances in wireless technology have increased the number of people using mobile devices and accelerated the rapid development of mobile service (mservice) conducted with these devices. However, although many companies are today making considerable investments to take advantage of the new business possibilities offered by wireless technology, research on mobile commerce suggests potential consumers may not adopt these m-services in spite of their availability. Thus, there is a need for research to identify the factors that affect consumer intention to use m-services. Based on the technology acceptance model (TAM), theory of planned behaviour (TPB) and Luarn & Lin’s 2005 mobile banking acceptance model, the current research respecifies and validates an integrated model for predicting consumer intention to use m-service by adding one trustrelated construct (‘perceived credibility’) and two resource-related constructs (‘self-efficacy’ and ‘perceived financial resources’) to the TAM’s nomological structure and re-examining the relationships between the proposed constructs. Data collected from 258 users in Taiwan were tested against the research model using the structural equation modelling approach. The results strongly support the proposed model in predicting consumer intention to use m-service. Several implications for information technology/information system acceptance research and m-service management practices are discussed.
Relation: Information Systems Journal, 16(2): 157-179
Appears in Collections:[Department of Information Management] Periodical Articles

Files in This Item:

File SizeFormat
index.html0KbHTML565View/Open


All items in NCUEIR are protected by copyright, with all rights reserved.

 


DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library IR team Copyright ©   - Feedback