Using Corporate Social Responsibility to Win the War for Talent
Impact in
- Marketing 245
Classified as
- Journal
- SSRN Electronic Journal
In The Last Decade
doi.org/w238337 →Countries where authors are citing Using Corporate Social Responsibility to Win the War for Talent
This map shows the geographic impact of Using Corporate Social Responsibility to Win the War for Talent. 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 Using Corporate Social Responsibility to Win the War for Talent with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Using Corporate Social Responsibility to Win the War for Talent more than expected).
Fields of papers citing Using Corporate Social Responsibility to Win the War for Talent
This network shows the impact of Using Corporate Social Responsibility to Win the War for Talent. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Using Corporate Social Responsibility to Win the War for Talent.
About Using Corporate Social Responsibility to Win the War for Talent
This paper, published in 2008, received 524 indexed citations . Written by CB Bhattacharya, Sankar Sen and Daniel Korschun covering the research area of Information Systems and Management, Strategy and Management and Organizational Behavior and Human Resource Management. It is primarily cited by scholars working on Strategy and Management (391 citations), Marketing (245 citations), Organizational Behavior and Human Resource Management (219 citations), Information Systems and Management (77 citations) and Sociology and Political Science (59 citations). Published in SSRN Electronic Journal.
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/w238337.