TY - GEN
T1 - The Human Resource Management Parameter Experimentation Tool
AU - Iasiello, Carmen
AU - Crooks, Andrew
AU - Wittman, Sarah
N1 - Publisher Copyright:
© 2020, Springer Nature Switzerland AG.
PY - 2020
Y1 - 2020
N2 - Human resource management (HRM) draws on the field of organizational theory (OT) to identify, quantify, and manage people-based phenomena that impact organizational operations and outcomes. OT research has long used computational methods and agent-based modeling to understand complex adaptive systems. Agent-based modeling methodologies within HRM, however, are still rare. Within the HRM and management science literature, Herzberg’s et al. (1959) Two-Factor Theory (TFT) is a framework that has been tested and used for decades. Its ability to capture the interaction between a work force’s motivation and their environment’s hygiene lends itself well to agent-based modeling as a method of study. Here, we present the development of the Human Resources Management-Parameter Experimentation Tool (HRM-PET) as the first explicit ABM instantiation of TFT, filling the gap between the study of HRM and computational OT tools like agent-based modeling.
AB - Human resource management (HRM) draws on the field of organizational theory (OT) to identify, quantify, and manage people-based phenomena that impact organizational operations and outcomes. OT research has long used computational methods and agent-based modeling to understand complex adaptive systems. Agent-based modeling methodologies within HRM, however, are still rare. Within the HRM and management science literature, Herzberg’s et al. (1959) Two-Factor Theory (TFT) is a framework that has been tested and used for decades. Its ability to capture the interaction between a work force’s motivation and their environment’s hygiene lends itself well to agent-based modeling as a method of study. Here, we present the development of the Human Resources Management-Parameter Experimentation Tool (HRM-PET) as the first explicit ABM instantiation of TFT, filling the gap between the study of HRM and computational OT tools like agent-based modeling.
KW - Agent-based modeling
KW - Human resources management
KW - Management science
KW - Workforce dynamics
UR - https://www.scopus.com/pages/publications/85094162205
U2 - 10.1007/978-3-030-61255-9_29
DO - 10.1007/978-3-030-61255-9_29
M3 - Conference contribution
AN - SCOPUS:85094162205
SN - 9783030612542
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 298
EP - 307
BT - Social, Cultural, and Behavioral Modeling - 13th International Conference, SBP-BRiMS 2020, Proceedings
A2 - Thomson, Robert
A2 - Bisgin, Halil
A2 - Dancy, Christopher
A2 - Hyder, Ayaz
A2 - Hussain, Muhammad
PB - Springer Science and Business Media Deutschland GmbH
T2 - 13th International Conference on Social Computing, Behavioral-Cultural Modeling and Prediction and Behavior Representation in Modeling and Simulation, SBP-BRiMS 2020
Y2 - 18 October 2020 through 21 October 2020
ER -