Natural language processing (NLP) in management research: A literature review

DOI码：

10.1080/23270012.2020.1756939

发表刊物：

Journal of Management Analytics

项目来源：

"71571177 71622009 71801204 71921001 71971203"

关键字：

natural language processing; literature review; sentiment analysis; machine learning

摘要：

Natural language processing (NLP) is gaining momentum in management research for its ability to automatically analyze and comprehend human language. Yet, despite its extensive application in management research, there is neither a comprehensive review of extant literature on such applications, nor is there a detailed walkthrough on how it can be employed as an analytical technique. To this end, we review articles in the UT Dallas List of 24 Leading Business Journals that employ NLP as their focal analytical technique to elucidate how textual data can be harnessed for advancing management theories across multiple disciplines. We describe the available toolkits and procedural steps for employing NLP as an analytical technique as well as its advantages and disadvantages. In so doing, we highlight the managerial and technological challenges associated with the application of NLP in management research in order to guide future inquires.

备注：

This work was supported by National Natural Science Foundation of China: [Grant Number 71571177,71622009,71801204,71921001,71971202].

合写作者：

Kang, Yue, Tan, Chee-Wee, Cai, Zhao*, Huang, Qian, & Liu, Hefu.

学科门类：

管理学

文献类型：

J

卷号：

7

期号：

2

页面范围：

139-172

ISSN号：

2327-0012

是否译文：

否

发表时间：

2020-01-01

发布期刊链接：

https://doi.org/10.1080/23270012.2020.1756939