Factors Affecting the Adoption of Open Systems: An Exploratory Study1

820 indexed citations
published 1997

Countries where authors are citing Factors Affecting the Adoption of Open Systems: An Exploratory Study1

Specialization
Citations

This map shows the geographic impact of Factors Affecting the Adoption of Open Systems: An Exploratory Study1. 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 Factors Affecting the Adoption of Open Systems: An Exploratory Study1 with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Factors Affecting the Adoption of Open Systems: An Exploratory Study1 more than expected).

Fields of papers citing Factors Affecting the Adoption of Open Systems: An Exploratory Study1

Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of Factors Affecting the Adoption of Open Systems: An Exploratory Study1. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Factors Affecting the Adoption of Open Systems: An Exploratory Study1.

About Factors Affecting the Adoption of Open Systems: An Exploratory Study1

This paper, published in 1997, received 820 indexed citations . Written by Patrick Y.K. Chau and Kar Yan Tam covering the research area of Management Information Systems and Information Systems and Management. It is primarily cited by scholars working on Information Systems and Management (425 citations), Strategy and Management (289 citations), Management Information Systems (260 citations), Sociology and Political Science (162 citations) and Information Systems (111 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/10.2307/249740.

Explore hit-papers with similar magnitude of impact