Predicting User Intentions: Comparing the Technology Acceptance Model with the Theory of Planned Behavior

被引:1870
作者
Mathieson, Kieran [1 ]
机构
[1] Oakland Univ, Dept Decis & Informat Sci, Rochester, MI 48309 USA
关键词
User behavior; User acceptance; User attitudes; I aboratory experiment;
D O I
10.1287/isre.2.3.173
中图分类号
G25 [图书馆学、图书馆事业]; G35 [情报学、情报工作];
学科分类号
1205 ; 120501 ;
摘要
Information systems (IS) cannot be effective unless they are used. However, people sometimes do not use systems that could potentially increase their performance. This study compares two models that predict an individual's intention to use an IS: the technology acceptance model (TAM) and the theory of planned behavior (TPB). The comparison was designed to be as fair as possible, not favoring one model over the other. Both TAM and TPB predicted intention to use an IS quite well, with TAM having a slight empirical advantage. TAM is easier to apply, but only supplies very general information on users' opinions about a system. TPB provides more specific information that can better guide development.
引用
收藏
页码:173 / 191
页数:19
相关论文
共 50 条
  • [41] Incorporation of health consciousness into the technology readiness and acceptance model to predict app download and usage intentions
    Chen, Mei-Fang
    Lin, Neng-Pai
    INTERNET RESEARCH, 2018, 28 (02) : 351 - 373
  • [42] THE ACCEPTANCE OF VIRTUAL PLATFORMS FOR PROMOTING KNOWLEDGE SHARING BEHAVIOR - A REVIEW OF THE TECHNOLOGY ACCEPTANCE MODEL (TAM)
    Kasim, Hairol Adenan
    PROCEEDINGS OF THE 6TH INTERNATIONAL CONFERENCE ON COMPUTING AND INFORMATICS: EMBRACING ECO-FRIENDLY COMPUTING, 2017, : 643 - 649
  • [43] PREDICTING INTERNET NON-USERS' ADOPTION INTENTION AND ADOPTION BEHAVIOR A panel study of theory of planned behavior
    Peng, Tai-Quan
    Zhu, Jonathan J. H.
    Tong, Jing-Jing
    Jiang, Shu-Jun
    INFORMATION COMMUNICATION & SOCIETY, 2012, 15 (08) : 1236 - 1257
  • [44] Exploring the Line Usage Intention by Flow Theory and Technology Acceptance Model
    Sun, Ai
    Chen, Jung-Fang
    Chang, Jui-Fang
    JOURNAL OF INTERNET TECHNOLOGY, 2017, 18 (06): : 1215 - 1222
  • [45] User Acceptance of Abuse Reporting System on Women and Children with Analytics using Unified Theory of Acceptance and Use of Technology: Evidence from the Philippines
    Castro, Eltimar T., Jr.
    Hernandez, Alexander A.
    2019 IEEE 9TH INTERNATIONAL CONFERENCE ON SYSTEM ENGINEERING AND TECHNOLOGY (ICSET), 2019, : 138 - 143
  • [46] Predicting ethical banking behavior among millennials and Gen-Z using theory of planned behaviors
    Joshi, Meeta
    Azam, S. M. Ferdous
    Kampoowale, Isha
    Nivarthi, Sarangapani
    Shukla, Rishi Prakash
    Priye, Ati
    Singh, Manjinder
    INTERNATIONAL JOURNAL OF ETHICS AND SYSTEMS, 2025,
  • [47] Understanding User Acceptance of Information System for Sweet Potato Variety and Disease Classification: An Empirical Examination with an Extended Technology Acceptance Model
    Mercurio, Dexter, I
    Hernandez, Alexander A.
    2020 16TH IEEE INTERNATIONAL COLLOQUIUM ON SIGNAL PROCESSING & ITS APPLICATIONS (CSPA 2020), 2020, : 272 - 277
  • [48] Comparing Google Classroom and D2L Brightspace Using the Technology Acceptance Model
    Francom, Gregory M.
    Schwan, Anna
    Nuatomue, Jeremiah N.
    TECHTRENDS, 2021, 65 (01) : 111 - 119
  • [49] Towards an Understanding of User Acceptance to Use Biometrics Authentication Systems in E-Commerce: Using an Extension of the Technology Acceptance Model
    Al Harby, Fahad
    Qahwaji, Rami
    Kamala, Mumtaz
    INTERNATIONAL JOURNAL OF E-BUSINESS RESEARCH, 2010, 6 (03) : 34 - 55
  • [50] Surfing in virtual reality: An application of extended technology acceptance model with flow theory
    Huang, Yu-Chih
    Li, Ling-Ni
    Lee, Hsiao-Yun
    Browning, Matthew H. E. M.
    Yu, Chia-Pin
    COMPUTERS IN HUMAN BEHAVIOR REPORTS, 2023, 9