Task-Technology Fit and Individual Performance
- Information Systems and Management
- Management Information Systems
- Organizational Behavior and Human Resource Management
- Journal
- MIS Quarterly
In The Last Decade
doi.org/10.2307/249689 →Countries where authors are citing Task-Technology Fit and Individual Performance
This map shows the geographic impact of Task-Technology Fit and Individual Performance. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Task-Technology Fit and Individual Performance with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Task-Technology Fit and Individual Performance more than expected).
Fields of papers citing Task-Technology Fit and Individual Performance
This network shows the impact of Task-Technology Fit and Individual Performance. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Task-Technology Fit and Individual Performance.
About Task-Technology Fit and Individual Performance
This paper, published in 1995, received 3.9k indexed citations . Written by Dale L. Goodhue and Ronald L. Thompson covering the research area of Information Systems and Management, Management Information Systems and Organizational Behavior and Human Resource Management. It is primarily cited by scholars working on Information Systems and Management (2.2k citations), Sociology and Political Science (1.3k citations) and Management Information Systems (784 citations). Published in MIS Quarterly.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.
This paper is also available at doi.org/10.2307/249689.