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Predicting consumer intention to use mobile service

Advances in wireless technology have increased the number of people using mobile devices and accelerated the rapid development of mobile service (m‐service) conducted with these devices. However, although many companies are today making considerable investments to take advantage of the new business... Full description

Journal Title: Information Systems Journal April 2006, Vol.16(2), pp.157-179
Main Author: Wang, Yi‐Shun
Other Authors: Lin, Hsin‐Hui , Luarn, Pin
Format: Electronic Article Electronic Article
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ID: ISSN: 1350-1917 ; E-ISSN: 1365-2575 ; DOI: 10.1111/j.1365-2575.2006.00213.x
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recordid: wj10.1111/j.1365-2575.2006.00213.x
title: Predicting consumer intention to use mobile service
format: Article
creator:
  • Wang, Yi‐Shun
  • Lin, Hsin‐Hui
  • Luarn, Pin
subjects:
  • Mobile Service
  • Theory Of Planned Behaviour
  • Technology Acceptance Model
  • Perceived Resources
  • Computer Self‐Efficacy
ispartof: Information Systems Journal, April 2006, Vol.16(2), pp.157-179
description: Advances in wireless technology have increased the number of people using mobile devices and accelerated the rapid development of mobile service (m‐service) 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 trust‐related 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.
language:
source:
identifier: ISSN: 1350-1917 ; E-ISSN: 1365-2575 ; DOI: 10.1111/j.1365-2575.2006.00213.x
fulltext: fulltext
issn:
  • 1350-1917
  • 13501917
  • 1365-2575
  • 13652575
url: Link


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subjectMobile Service ; Theory Of Planned Behaviour ; Technology Acceptance Model ; Perceived Resources ; Computer Self‐Efficacy
descriptionAdvances in wireless technology have increased the number of people using mobile devices and accelerated the rapid development of mobile service (m‐service) 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 trust‐related 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.
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descriptionAdvances in wireless technology have increased the number of people using mobile devices and accelerated the rapid development of mobile service (m‐service) 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 trust‐related 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.
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abstractAdvances in wireless technology have increased the number of people using mobile devices and accelerated the rapid development of mobile service (m‐service) 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 trust‐related 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.
copOxford, UK
pubBlackwell Publishing Ltd
doi10.1111/j.1365-2575.2006.00213.x
pages157-179
date2006-04