caa a22 4500 605520208 CHVBK 20210128100734.0 cr unu---uuuuu 210128e20150601xx s 000 0 eng 10.1007/s11213-014-9328-x doi (NATIONALLICENCE)springer-10.1007/s11213-014-9328-x Attribution Theory: A Theoretical Framework for Understanding Information Systems Success [Elektronische Daten] [Ken Snead Jr., Simha Magal, Linda Christensen, Atieno Ndede-Amadi] 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. Springer Science+Business Media New York, 2014 Attribution theory nationallicence Causal attributions nationallicence Information system success nationallicence Snead Jr. Ken College of Business, Bowling Green State University, 43403-0262, Bowling Green, OH, USA aut Magal Simha Seidman College of Business, Grand Valley State University, Grand Rapids, MI, USA aut Christensen Linda School of Business, Christian Brothers University, Memphis, TN, USA aut Ndede-Amadi Atieno School of Business and Management Studies, Kenya Polytechnic University College, Nairobi, Kenya aut Systemic Practice and Action Research Springer US; http://www.springer-ny.com 28/3(2015-06-01), 273-288 1094-429X 28:3<273 2015 28 11213 https://doi.org/10.1007/s11213-014-9328-x text/html Onlinezugriff via DOI BK010053 XK010053 XK010000 Metadata rights reserved Springer special CC-BY-NC licence nationallicence 1 research-article jats NATIONALLICENCE NATIONALLICENCE NL-springer NATIONALLICENCE 856 40 https://doi.org/10.1007/s11213-014-9328-x text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Snead Jr Ken College of Business, Bowling Green State University, 43403-0262, Bowling Green, OH, USA aut NATIONALLICENCE 700 1- Magal Simha Seidman College of Business, Grand Valley State University, Grand Rapids, MI, USA aut NATIONALLICENCE 700 1- Christensen Linda School of Business, Christian Brothers University, Memphis, TN, USA aut NATIONALLICENCE 700 1- Ndede-Amadi Atieno School of Business and Management Studies, Kenya Polytechnic University College, Nairobi, Kenya aut NATIONALLICENCE 773 0- Systemic Practice and Action Research Springer US; http://www.springer-ny.com 28/3(2015-06-01), 273-288 1094-429X 28:3<273 2015 28 11213