Early investigation of new information technology acceptance: A perceived risk - Motivation model

被引:0
作者
Faculty of Business, Athabasca University, Canada [1 ]
不详 [2 ]
机构
[1] Faculty of Business, Athabasca University
[2] DeGroote School of Business, McMaster University
来源
Commun. Assoc. Info. Syst. | 2009年 / 1卷 / 339-358期
关键词
Adoption; Cell phones; Human computer interaction; Motivation; Perceived risk; Resistance; Technology acceptance;
D O I
10.17705/1cais.02530
中图分类号
学科分类号
摘要
Early investigation of the acceptance of new information technology applications will help to improve the chances of later success. In incipient stages of product deployment, before people develop a full understanding of the aspects of a new technology, users may display particular reasons for or against its use. Accordingly, this study proposes and tests empirically, through structural equation modeling techniques, a perceived risk-motivation model for the early study of new information technology acceptance. The research framework is a Web scenario describing the possible use of wireless text messaging on cell phones to improve user adherence to healthy behavior. While the underlying personal motivation may favor adoption, perceived risks may be an obstacle. This study integrates a multi-faceted perceived risk concept with a motivational model in an unbiased measure of the initial development phase of new information technology, to estimate its acceptance. © 2009 by the authors.
引用
收藏
页码:339 / 358
页数:19
相关论文
共 50 条
[11]   The role of perceived organizational support, distributive justice and motivation in reactions to new information technology [J].
Mitchell, Jonathan I. ;
Gagne, Marylene ;
Beaudry, Anne ;
Dyer, Linda .
COMPUTERS IN HUMAN BEHAVIOR, 2012, 28 (02) :729-738
[12]   Relating motivation to information and communication technology acceptance: Self-determination theory perspective [J].
Lee, Younghwa ;
Lee, Jintae ;
Hwang, Yujong .
COMPUTERS IN HUMAN BEHAVIOR, 2015, 51 :418-428
[13]   Extending the Technology Acceptance Model with perceived community characteristics [J].
Koch, Stefan ;
Toker, Aysegul ;
Brulez, Philip .
INFORMATION RESEARCH-AN INTERNATIONAL ELECTRONIC JOURNAL, 2011, 16 (02)
[14]   Impact of Service Quality Perceived Risk, Perceived Privacy and Security and Perceived Trust on Technology Acceptance Model: An Empirical Study based on Online Banking Sector of Pakistan [J].
Zaman, Sameera ;
Khawaja, Kausar Fiaz ;
Waqar, Saad .
2013 2ND NATIONAL CONFERENCE ON INFORMATION ASSURANCE (NCIA), 2013, :89-94
[15]   Consumer acceptance of electronic commerce: Integrating trust and risk with the technology acceptance model [J].
Pavlou, PA .
INTERNATIONAL JOURNAL OF ELECTRONIC COMMERCE, 2003, 7 (03) :101-134
[16]   Perceived city smartness level and technical information transparency: The acceptance intention of health information technology during a lockdown [J].
Wu, Wenqing ;
Wu, Yenchun Jim ;
Wang, Hongxin .
COMPUTERS IN HUMAN BEHAVIOR, 2021, 122
[17]   Word-Of-Mouth, Trust, and Perceived Risk in Online Shopping: An Extension of the Technology Acceptance Model [J].
Zeba, Farrah ;
Ganguli, Shirshendu .
INTERNATIONAL JOURNAL OF INFORMATION SYSTEMS IN THE SERVICE SECTOR, 2016, 8 (04) :17-32
[18]   Explaining intention to use mobile banking: Integrating perceived risk and trust into the technology acceptance model [J].
Van H.N. ;
Pham L. ;
Williamson S. ;
Chan C.-Y. ;
Thang T.D. ;
Nam V.X. .
International Journal of Applied Decision Sciences, 2021, 14 (01) :55-80
[19]   Searching for New Technology Acceptance Model under Social Context: Analyzing the Determinants of Acceptance of Intelligent Information Technology in Digital Transformation and Implications for the Requisites of Digital Sustainability [J].
Park, Ierei ;
Kim, Donggeun ;
Moon, Jungwook ;
Kim, Seoyong ;
Kang, Youngcheoul ;
Bae, Sangseok .
SUSTAINABILITY, 2022, 14 (01)
[20]   An Emerging Adults' Patient Portal Behavioral Model: Integrating Perceived Risk Theory, Technology Acceptance Model, and Personal Innovativeness [J].
Velverthi, Navya ;
Prybutok, Victor ;
Hong, Lingzi .
INTERNATIONAL JOURNAL OF HUMAN-COMPUTER INTERACTION, 2024, 40 (20) :6428-6441