Social Cohesion HRM

working

Author

Chungil Chae

Published

Sat, 2 November 2024

Chad

Project Details

Updated in 2021-09-01

Citation

Abstract

Here Abstract

Planning

Schedule and Due Date

  • Idea Development
    • November 30, 2024
  • Literature Review
    • December 29, 2024
  • Tentative Analysis
    • January 12, 2025
  • Proposal
    • January 31, 2025
  • Abstract for Spacial Issue Editorial Board
    • February 1, 2025
  • Full Analysis
    • February 16, 2025
  • Rough Draft
    • March 9, 2025
  • Final Draft
    • March 31, 2025
  • Submission
    • April 1, 2025 (submission window 1-30)

Progress

  • Progress 1
  • Progress 2

Authorship and Authors

Author Contribution

  • Supervision: Chungil (Chad) Chae
  • Project administration:
    • Chungil (Chad) Chae
  • Conceptualization:
    • Chungil (Chad) Chae
  • Data accusation:
  • Data curation:
  • Formal analysis:
  • Chungil (Chad) Chae
  • Investigation:
  • Methodology:
    • Chungil (Chad) Chae
  • Resources:
  • Validation:
  • Visualization:
  • Writing – original draft:
    • Chungil (Chad) Chae
  • Writing – review & editing:
    • Chungil (Chad) Chae

Authors

Chungil Chae, Ph.D., M.S.

Chungil Chae Chae (2024) is an assistant professor in the field of business analytics, with a distinguished track record in organizational behavior, human resource development (HRD), learning, and development. With a prolific publication record that spans various dimensions of HRD and organizational studies, Dr. Chae has made significant contributions to understanding the dynamics of organizational support on knowledge sharing, virtual team leadership, and the structural determinants of HRD research collaboration networks. And his work embodies a deep commitment to enhancing understanding and practices in organizational behavior, HRD, learning, and development. His interdisciplinary research not only contributes to academic discourse but also offers tangible strategies for organizational improvement and individual development.

Jiongcheng Lu, M.A.

image or logo

Jiongcheng Lu (Tony) have a diverse background that combines both industry experience and research expertise. He have interned at banks, investment institutions, and technology research institutes, gaining a broad understanding of finance and innovation. Additionally, Lu founded his own tech company, which provided valuable entrepreneurial experience. Jiongcheng Lu’s research focuses on health economics, financial accounting, and healthcare accessibility, with a strong emphasis on quantitative methods. He is particularly interested in applying econometrics and machine learning techniques to address complex challenges in finance.

Acknowledgement

  • tba

Declearation

IRB

Funding

AI