Attribution Theory: A Theoretical Framework for Understanding Information Systems Success

被引:0
|
作者
Ken C. Snead
Simha R. Magal
Linda F. Christensen
Atieno A. Ndede-Amadi
机构
[1] Bowling Green State University,College of Business
[2] Grand Valley State University,Seidman College of Business
[3] Christian Brothers University,School of Business
[4] Kenya Polytechnic University College,School of Business and Management Studies
来源
关键词
Attribution theory; Causal attributions; Information system success;
D O I
暂无
中图分类号
学科分类号
摘要
Information systems research often employs user satisfaction with, use of, and perceived organizational benefits of, newly-developed systems as measures of information system success. Further, this stream of research attempts to associate these measures of success with a myriad of hypothesized determinants involving organizational, personal, task, and system characteristics, as well as characteristics of the implementation process. Initial research in this area was criticized for the dearth of theoretical underpinning employed. Subsequent to these criticisms, underlying theory from a variety of disciplines now guides much of this research. Of particular interest to this research effort are the tenets of a well-established theory in the area of social psychology-attribution theory. While attribution theory has been employed in some of the more recent works investigating factors related to information system success, none of these works simultaneously consider the theory’s information and motivational antecedents along with the success/failure nature of the system’s outcomes, users’ perceptions of the causes of the outcomes (attributions), and the reported level of user satisfaction with the system. In response, the current study develops a model for the simultaneous empirical examination of these issues by incorporating them into a behavioral decision making methodology administered to Professional MBA students. The study’s results support the relevance of attribution theory as a theoretical framework for understanding those factors determining users’ attributions for information system-related outcomes, as well as the influence of these attributions and the nature of the system outcome on the level of users’ satisfaction with the system.
引用
收藏
页码:273 / 288
页数:15
相关论文
共 50 条
  • [41] Towards understanding the behavior of physical systems using information theory
    Quax, Rick
    Apolloni, Andrea
    Sloot, Peter M. A.
    [J]. EUROPEAN PHYSICAL JOURNAL-SPECIAL TOPICS, 2013, 222 (06): : 1389 - 1401
  • [42] Understanding and Predicting Nonlinear Turbulent Dynamical Systems with Information Theory
    Chen, Nan
    Hou, Xiao
    Li, Qin
    Li, Yingda
    [J]. ATMOSPHERE, 2019, 10 (05)
  • [43] Towards understanding the behavior of physical systems using information theory
    Rick Quax
    Andrea Apolloni
    Peter M. A. Sloot
    [J]. The European Physical Journal Special Topics, 2013, 222 : 1389 - 1401
  • [44] Information systems success and Herzberg's two dimensional theory of motivation
    Vance, D
    [J]. ASSOCIATION FOR INFORMATION SYSTEMS PROCEEDING OF THE AMERICAS CONFERENCE ON INFORMATION SYSTEMS, 1997, : 906 - 908
  • [45] Understanding Variations in Judgments of Infidelity: An Application of Attribution Theory
    Thompson, Ashley E.
    O'Sullivan, Lucia F.
    [J]. BASIC AND APPLIED SOCIAL PSYCHOLOGY, 2017, 39 (05) : 262 - 276
  • [46] An information-theoretical framework for modeling component-based systems
    Seker, R
    Tanik, MA
    [J]. IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART C-APPLICATIONS AND REVIEWS, 2004, 34 (04): : 475 - 484
  • [47] A Theoretical and Strategic Framework for Information Systems Adoption in Supply Chain Management
    Chan, Pui Yuk
    Shi, Xinping
    Wang, Yi
    [J]. PACIFIC ASIA CONFERENCE ON INFORMATION SYSTEMS 2007, SECTIONS 1-6, 2007,
  • [48] Towards a framework of critical success factors for implementing supply chain information systems
    Denolf, Janne M.
    Trienekens, Jacques H.
    Wognum, P. M.
    van der Vorst, Jack G. A. J.
    Omta, S. W. F.
    [J]. COMPUTERS IN INDUSTRY, 2015, 68 : 16 - 26
  • [49] Information system (IS) success - integrative framework
    Kopackova, Hana
    Capek, Jan
    Brizova, Svetlana
    [J]. 2020 15TH IBERIAN CONFERENCE ON INFORMATION SYSTEMS AND TECHNOLOGIES (CISTI'2020), 2020,
  • [50] ACCOUNTING INFORMATION-SYSTEMS IN THE FRAMEWORK OF LIVING SYSTEMS-THEORY AND RESEARCH
    SWANSON, GA
    MILLER, JG
    [J]. SYSTEMS RESEARCH, 1986, 3 (04): : 253 - 265