The 4th International Workshop on Talent and Management Computing (TMC'2023)

Hengshu Zhu; Hui Xiong; Yong Ge; Ee Peng Lim

doi:10.1145/3580305.3599200

The 4th International Workshop on Talent and Management Computing (TMC'2023)

Hengshu Zhu, Hui Xiong, Yong Ge, Ee Peng Lim

Management Information Systems

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

In today's competitive and fast-evolving business environment, it is a critical time for organizations to rethink how to deal with the talent and management related tasks in a quantitative manner. Indeed, thanks to the era of big data, the availability of large-scale talent data provides unparalleled opportunities for business leaders to understand the rules of talent and management, which in turn deliver intelligence for effective decision making and management for their organizations. In the past few years, talent and management computing have increasingly attracted attentions from KDD communities, and a number of research/applied data science efforts have been devoted. To this end, the purpose of this workshop, i.e., the 4th International Workshop on Talent and Management Computing (TMC'2023), is to bring together researchers and practitioners to discuss both the critical problems faced by talent and management related domains, and potential data-driven solutions by leveraging state-of-the-art data mining technologies.

Original language	English (US)
Title of host publication	KDD 2023 - Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining
Publisher	Association for Computing Machinery
Pages	5909-5910
Number of pages	2
ISBN (Electronic)	9798400701030
DOIs	https://doi.org/10.1145/3580305.3599200
State	Published - Aug 6 2023
Event	29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, KDD 2023 - Long Beach, United States Duration: Aug 6 2023 → Aug 10 2023

Publication series

Name	Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining

Conference

Conference	29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, KDD 2023
Country/Territory	United States
City	Long Beach
Period	8/6/23 → 8/10/23

Keywords

group based decision making
professional social networks
strategic management
talent behavior modeling

ASJC Scopus subject areas

Software
Information Systems

Access to Document

10.1145/3580305.3599200

Cite this

Zhu, H., Xiong, H., Ge, Y., & Lim, E. P. (2023). The 4th International Workshop on Talent and Management Computing (TMC'2023). In KDD 2023 - Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (pp. 5909-5910). (Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining). Association for Computing Machinery. https://doi.org/10.1145/3580305.3599200

The 4th International Workshop on Talent and Management Computing (TMC'2023). / Zhu, Hengshu; Xiong, Hui; Ge, Yong et al.
KDD 2023 - Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining. Association for Computing Machinery, 2023. p. 5909-5910 (Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Zhu, H, Xiong, H, Ge, Y & Lim, EP 2023, The 4th International Workshop on Talent and Management Computing (TMC'2023). in KDD 2023 - Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining. Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Association for Computing Machinery, pp. 5909-5910, 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, KDD 2023, Long Beach, United States, 8/6/23. https://doi.org/10.1145/3580305.3599200

Zhu H, Xiong H, Ge Y, Lim EP. The 4th International Workshop on Talent and Management Computing (TMC'2023). In KDD 2023 - Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining. Association for Computing Machinery. 2023. p. 5909-5910. (Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining). doi: 10.1145/3580305.3599200

Zhu, Hengshu ; Xiong, Hui ; Ge, Yong et al. / The 4th International Workshop on Talent and Management Computing (TMC'2023). KDD 2023 - Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining. Association for Computing Machinery, 2023. pp. 5909-5910 (Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining).

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AB - In today's competitive and fast-evolving business environment, it is a critical time for organizations to rethink how to deal with the talent and management related tasks in a quantitative manner. Indeed, thanks to the era of big data, the availability of large-scale talent data provides unparalleled opportunities for business leaders to understand the rules of talent and management, which in turn deliver intelligence for effective decision making and management for their organizations. In the past few years, talent and management computing have increasingly attracted attentions from KDD communities, and a number of research/applied data science efforts have been devoted. To this end, the purpose of this workshop, i.e., the 4th International Workshop on Talent and Management Computing (TMC'2023), is to bring together researchers and practitioners to discuss both the critical problems faced by talent and management related domains, and potential data-driven solutions by leveraging state-of-the-art data mining technologies.

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The 4th International Workshop on Talent and Management Computing (TMC'2023)

Abstract

Publication series

Conference

Keywords

ASJC Scopus subject areas

Access to Document

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Cite this