The 5th International Workshop on Talent and Management Computing (TMC'2024)

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

doi:10.1145/3637528.3671479

The 5th International Workshop on Talent and Management Computing (TMC'2024)

Hengshu Zhu, Yong Ge, Hui Xiong, 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 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 attention 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 5th International Workshop on Talent and Management Computing (TMC'2024), 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 2024 - Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining
Publisher	Association for Computing Machinery
Pages	6759-6760
Number of pages	2
ISBN (Electronic)	9798400704901
DOIs	https://doi.org/10.1145/3637528.3671479
State	Published - Aug 24 2024
Event	30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, KDD 2024 - Barcelona, Spain Duration: Aug 25 2024 → Aug 29 2024

Publication series

Name	Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining
ISSN (Print)	2154-817X

Conference

Conference	30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, KDD 2024
Country/Territory	Spain
City	Barcelona
Period	8/25/24 → 8/29/24

Keywords

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

ASJC Scopus subject areas

Software
Information Systems

Access to Document

10.1145/3637528.3671479

Cite this

Zhu, H., Ge, Y., Xiong, H., & Lim, E. P. (2024). The 5th International Workshop on Talent and Management Computing (TMC'2024). In KDD 2024 - Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (pp. 6759-6760). (Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining). Association for Computing Machinery. https://doi.org/10.1145/3637528.3671479

The 5th International Workshop on Talent and Management Computing (TMC'2024). / Zhu, Hengshu; Ge, Yong; Xiong, Hui et al.
KDD 2024 - Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining. Association for Computing Machinery, 2024. p. 6759-6760 (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, Ge, Y, Xiong, H & Lim, EP 2024, The 5th International Workshop on Talent and Management Computing (TMC'2024). in KDD 2024 - Proceedings of the 30th 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. 6759-6760, 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, KDD 2024, Barcelona, Spain, 8/25/24. https://doi.org/10.1145/3637528.3671479

Zhu H, Ge Y, Xiong H, Lim EP. The 5th International Workshop on Talent and Management Computing (TMC'2024). In KDD 2024 - Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining. Association for Computing Machinery. 2024. p. 6759-6760. (Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining). doi: 10.1145/3637528.3671479

Zhu, Hengshu ; Ge, Yong ; Xiong, Hui et al. / The 5th International Workshop on Talent and Management Computing (TMC'2024). KDD 2024 - Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining. Association for Computing Machinery, 2024. pp. 6759-6760 (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 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 attention 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 5th International Workshop on Talent and Management Computing (TMC'2024), 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 5th International Workshop on Talent and Management Computing (TMC'2024)

Abstract

Publication series

Conference

Keywords

ASJC Scopus subject areas

Access to Document

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