Funder
Murata Science Foundation
Publisher
Springer Science and Business Media LLC
Subject
Law,Economics and Econometrics,Arts and Humanities (miscellaneous),General Business, Management and Accounting,Business and International Management
Reference81 articles.
1. Alharbi, A. R., Hijji, M., & Aljaedi, A. (2021). Enhancing topic clustering for Arabic security news based on k-means and topic modelling. IET Network, 10(6), 278–294.
2. Asahina, Y. (2021). Precarious regular workers in Japan. Japan Forum, 33(4), 633–657.
3. Ashforth, B. E., & Kreiner, G. E. (1999). How can you do it?: Dirty work and the challenge of constructing a positive identity. Academy of Management Review, 24(3), 413–434.
4. Aziz, S., Dowling, M., Hammami, H., & Piepenbrink, A. (2022). Machine learning in finance: A topic modeling approach. European Financial Management, 28(3), 744–770.
5. Barberá-Tomás, D., Castelló, I., de Bakker, F. G. A., & Zietsma, C. (2019). Energizing through visuals: How social entrepreneurs use emotion-symbolic work for social change. Academy of Management Journal, 62(6), 1789–1817.
Cited by
1 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. Methods to Attract and Retain Talented Employees in Romanian Organizations;Advances in Human Resources Management and Organizational Development;2024-06-03