Information flows and topic modeling in corporate governance

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Anderson, Marc
Associate Professor
Shrader, Charles
Morrill Professor Emeritus, University Professor Emeritus
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Management and Entrepreneurship

The Department of Management and Entrepreneurship seeks to provide students with the knowledge of organizations and management functions within organizations. Graduates will be able to understand work-related behavior, competitive strategy and advantage, strategies of international business, and human-resource management practices.

The Department of Management was formed in 1984 in the College of Business Administration (later College of Business).

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1984 - present

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University Library
The University Library provides and promotes discovery tools, trusted informational resources, and information literacy skills as a vital campus partner in ensuring that the university will lead the world in advancing the land-grant ideals of putting science, technology and human creativity to work. In doing so, the Library equips faculty, staff and students to create, share and apply knowledge in addressing the challenges of the 21st century. The University Library features a collection of over 2.6 million volumes, with strengths in biological and physical sciences and technology.
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Purpose – Multiple disciplines such as finance, management and economics have contributed to governance research over time. However, the full intellectual structure of the governance “field” including the exchange of knowledge across disciplines and the large variety of governance topics remains to be uncovered. To appreciate the breadth of corporate governance research, it is necessary to understand the disciplinary sources from which the research stems. This manuscript focuses on the interdisciplinary underpinnings of corporate governance research.

Design/methodology/approach – This paper employs bibliometric analysis to trace the evolution of corporate governance using articles included in the ISI Web of Science database between 1990 and 2015. Journals included in these categories encompass a full range of business disciplines and provide evidence of the multi-disciplinary nature of corporate governance. It also uncovers the topics treated by disciplines under the governance umbrella using a machine learning method called latent Dirichtlet allocation (LDA).

Findings – Corporate governance research deals with a number of strategy-related topics. Unlike strategy topics that reside in a single discipline, corporate governance crosses disciplinary boundaries and includes contributions from accounting, finance, economics, law and management. Our analysis shows that over 80% of corporate governance articles come from outside the field of management. Our LDA solution indicates that the major topics in governance research include corporate governance theory, control of family firms, executive compensation and audit committees.

Originality/value – The results illustrate that corporate governance is far more interdisciplinary than previously thought. This is an important insight for corporate governance academics and may lead to collaborative research. More importantly, this research illustrates the usefulness of LDA for investigating interdisciplinary fields. This method is easily transferable to other interdisciplinary fields and it provides a powerful alternative to existing bibliometric methods. We suggest a number of topic areas within library and information science where this method may be applied, including collection development, support for interdisciplinary faculty and basic research into emerging interdisciplinary areas.


This article is published as Kushkowski,J.D., Shrader, C.B., Anderson, M.H., White, R.E., Information flows and topic modeling in corporate governance. Journal of Documentation, June 19, 2020; Doi: doi: 10.1108/JD-10-2019-0207.

Wed Jan 01 00:00:00 UTC 2020