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Data Science and Management Studies
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- Tatsumoto Hirofumi
- Faculty of Business Sciences, University of Tsukuba
Bibliographic Information
- Other Title
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- データサイエンスと経営学研究
Description
<p>This paper presents regression analysis, which is familiar to management scholars, to introduce data science easily. Firstly, the paper presents three purposes of regression analysis and explains the back door criterion helpful in selecting variables to identify causal effects in regression models. Secondly, it explains interaction models and multilevel modeling/Bayesian hierarchical modeling in which effects vary among individuals or organizations. The paper also introduces management research by applying machine learning as the latest regression modeling method and estimations of its causal effects.</p>
Journal
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- Organizational Science
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Organizational Science 55 (3), 62-77, 2022-03-20
The Academic Association for Organizational Science
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Keywords
Details 詳細情報について
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- CRID
- 1390854882571008128
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- ISSN
- 2187932X
- 02869713
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- Text Lang
- ja
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- Article Type
- journal article
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- Data Source
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- JaLC
- KAKEN
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- Abstract License Flag
- Disallowed
