Modeling the Impact of Leadership on Change Management Decisions Using System Dynamics Simulation

Manuka Lakdinu; M. Mavin De Silva; Kavith Balachandra; Amila Thibbotuwawa; H. Niles Perera; Tadachika Nakayama; Peter Nielsen

doi:10.1007/978-3-031-45021-1_17

Modeling the Impact of Leadership on Change Management Decisions Using System Dynamics Simulation

Manuka Lakdinu, M. Mavin De Silva^*, Kavith Balachandra, Amila Thibbotuwawa, H. Niles Perera, Tadachika Nakayama, Peter Nielsen

^*Corresponding author for this work

Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › peer-review

Abstract

Many firms are shifting from legacy systems to Enterprise Resource Planning (ERP) system solutions. ERP is a project requiring extensive change management to expect implementation success. It entails severe technological changes, and significant organizational behavior and business process changes. Despite this, the research has not thoroughly investigated the relationship between change management challenges and ERP deployment. This research examines and assesses how leadership factors will aid transformational decision-making in implementing ERP. Empirical research reveals that leadership responsibilities like proper communication between leaders and employees, enhancing core-team productivity, improving re-engineering process quality, and top management commitment will promote implementation success. The research problem is defined using the Relative Importance Index (RII). The dynamic behavior of ERP implementation was then analyzed and validated using the System Dynamics (SD) technique. The findings emphasize the importance of numerous leadership elements in change management decisions and how they will influence the long-term effectiveness of ERP deployment.

Original language	English
Title of host publication	Advances in Production : Intelligent Systems in Production Engineering and Maintenance
Editors	Anna Burduk, Andre Batako, José Machado, Ryszard Wyczółkowski, Katarzyna Antosz, Arkadiusz Gola
Number of pages	15
Publisher	Springer
Publication date	2023
Pages	228-242
ISBN (Print)	978-3-031-45020-4
ISBN (Electronic)	978-3-031-45021-1
DOIs	https://doi.org/10.1007/978-3-031-45021-1_17
Publication status	Published - 2023
Event	4th International Conference on Intelligent Systems in Production Engineering and Maintenance , ISPEM 2023 - Wroclaw, Poland Duration: 13 Sept 2023 → 15 Sept 2023

Conference

Conference	4th International Conference on Intelligent Systems in Production Engineering and Maintenance , ISPEM 2023
Country/Territory	Poland
City	Wroclaw
Period	13/09/2023 → 15/09/2023

Series	Lecture Notes in Networks and Systems
Volume	790 LNNS
ISSN	2367-3370

Bibliographical note

Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Switzerland AG 2023.

Keywords

Business Process Reengineering
Change Management Decisions
ERP Implementation
Leadership
System Dynamics

Access to Document

10.1007/978-3-031-45021-1_17

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Cite this

Lakdinu, M., De Silva, M. M., Balachandra, K., Thibbotuwawa, A., Perera, H. N., Nakayama, T., & Nielsen, P. (2023). Modeling the Impact of Leadership on Change Management Decisions Using System Dynamics Simulation. In A. Burduk, A. Batako, J. Machado, R. Wyczółkowski, K. Antosz, & A. Gola (Eds.), Advances in Production: Intelligent Systems in Production Engineering and Maintenance (pp. 228-242). Springer. https://doi.org/10.1007/978-3-031-45021-1_17

Lakdinu, Manuka ; De Silva, M. Mavin ; Balachandra, Kavith et al. / Modeling the Impact of Leadership on Change Management Decisions Using System Dynamics Simulation. Advances in Production: Intelligent Systems in Production Engineering and Maintenance. editor / Anna Burduk ; Andre Batako ; José Machado ; Ryszard Wyczółkowski ; Katarzyna Antosz ; Arkadiusz Gola. Springer, 2023. pp. 228-242 (Lecture Notes in Networks and Systems, Vol. 790 LNNS).

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title = "Modeling the Impact of Leadership on Change Management Decisions Using System Dynamics Simulation",

abstract = "Many firms are shifting from legacy systems to Enterprise Resource Planning (ERP) system solutions. ERP is a project requiring extensive change management to expect implementation success. It entails severe technological changes, and significant organizational behavior and business process changes. Despite this, the research has not thoroughly investigated the relationship between change management challenges and ERP deployment. This research examines and assesses how leadership factors will aid transformational decision-making in implementing ERP. Empirical research reveals that leadership responsibilities like proper communication between leaders and employees, enhancing core-team productivity, improving re-engineering process quality, and top management commitment will promote implementation success. The research problem is defined using the Relative Importance Index (RII). The dynamic behavior of ERP implementation was then analyzed and validated using the System Dynamics (SD) technique. The findings emphasize the importance of numerous leadership elements in change management decisions and how they will influence the long-term effectiveness of ERP deployment.",

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author = "Manuka Lakdinu and {De Silva}, {M. Mavin} and Kavith Balachandra and Amila Thibbotuwawa and Perera, {H. Niles} and Tadachika Nakayama and Peter Nielsen",

note = "Publisher Copyright: {\textcopyright} The Author(s), under exclusive license to Springer Nature Switzerland AG 2023.; 4th International Conference on Intelligent Systems in Production Engineering and Maintenance , ISPEM 2023 ; Conference date: 13-09-2023 Through 15-09-2023",

year = "2023",

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Lakdinu, M, De Silva, MM, Balachandra, K, Thibbotuwawa, A, Perera, HN, Nakayama, T & Nielsen, P 2023, Modeling the Impact of Leadership on Change Management Decisions Using System Dynamics Simulation. in A Burduk, A Batako, J Machado, R Wyczółkowski, K Antosz & A Gola (eds), Advances in Production: Intelligent Systems in Production Engineering and Maintenance. Springer, Lecture Notes in Networks and Systems, vol. 790 LNNS, pp. 228-242, 4th International Conference on Intelligent Systems in Production Engineering and Maintenance , ISPEM 2023, Wroclaw, Poland, 13/09/2023. https://doi.org/10.1007/978-3-031-45021-1_17

Modeling the Impact of Leadership on Change Management Decisions Using System Dynamics Simulation. / Lakdinu, Manuka; De Silva, M. Mavin; Balachandra, Kavith et al.
Advances in Production: Intelligent Systems in Production Engineering and Maintenance. ed. / Anna Burduk; Andre Batako; José Machado; Ryszard Wyczółkowski; Katarzyna Antosz; Arkadiusz Gola. Springer, 2023. p. 228-242 (Lecture Notes in Networks and Systems, Vol. 790 LNNS).

Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › peer-review

TY - GEN

T1 - Modeling the Impact of Leadership on Change Management Decisions Using System Dynamics Simulation

AU - Lakdinu, Manuka

AU - De Silva, M. Mavin

AU - Balachandra, Kavith

AU - Thibbotuwawa, Amila

AU - Perera, H. Niles

AU - Nakayama, Tadachika

AU - Nielsen, Peter

N1 - Publisher Copyright: © The Author(s), under exclusive license to Springer Nature Switzerland AG 2023.

PY - 2023

Y1 - 2023

N2 - Many firms are shifting from legacy systems to Enterprise Resource Planning (ERP) system solutions. ERP is a project requiring extensive change management to expect implementation success. It entails severe technological changes, and significant organizational behavior and business process changes. Despite this, the research has not thoroughly investigated the relationship between change management challenges and ERP deployment. This research examines and assesses how leadership factors will aid transformational decision-making in implementing ERP. Empirical research reveals that leadership responsibilities like proper communication between leaders and employees, enhancing core-team productivity, improving re-engineering process quality, and top management commitment will promote implementation success. The research problem is defined using the Relative Importance Index (RII). The dynamic behavior of ERP implementation was then analyzed and validated using the System Dynamics (SD) technique. The findings emphasize the importance of numerous leadership elements in change management decisions and how they will influence the long-term effectiveness of ERP deployment.

AB - Many firms are shifting from legacy systems to Enterprise Resource Planning (ERP) system solutions. ERP is a project requiring extensive change management to expect implementation success. It entails severe technological changes, and significant organizational behavior and business process changes. Despite this, the research has not thoroughly investigated the relationship between change management challenges and ERP deployment. This research examines and assesses how leadership factors will aid transformational decision-making in implementing ERP. Empirical research reveals that leadership responsibilities like proper communication between leaders and employees, enhancing core-team productivity, improving re-engineering process quality, and top management commitment will promote implementation success. The research problem is defined using the Relative Importance Index (RII). The dynamic behavior of ERP implementation was then analyzed and validated using the System Dynamics (SD) technique. The findings emphasize the importance of numerous leadership elements in change management decisions and how they will influence the long-term effectiveness of ERP deployment.

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KW - Change Management Decisions

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DO - 10.1007/978-3-031-45021-1_17

M3 - Article in proceeding

AN - SCOPUS:85175796624

SN - 978-3-031-45020-4

T3 - Lecture Notes in Networks and Systems

SP - 228

EP - 242

BT - Advances in Production

A2 - Burduk, Anna

A2 - Batako, Andre

A2 - Machado, José

A2 - Wyczółkowski, Ryszard

A2 - Antosz, Katarzyna

A2 - Gola, Arkadiusz

PB - Springer

T2 - 4th International Conference on Intelligent Systems in Production Engineering and Maintenance , ISPEM 2023

Y2 - 13 September 2023 through 15 September 2023

ER -

Lakdinu M, De Silva MM, Balachandra K, Thibbotuwawa A, Perera HN, Nakayama T et al. Modeling the Impact of Leadership on Change Management Decisions Using System Dynamics Simulation. In Burduk A, Batako A, Machado J, Wyczółkowski R, Antosz K, Gola A, editors, Advances in Production: Intelligent Systems in Production Engineering and Maintenance. Springer. 2023. p. 228-242. (Lecture Notes in Networks and Systems, Vol. 790 LNNS). doi: 10.1007/978-3-031-45021-1_17

Modeling the Impact of Leadership on Change Management Decisions Using System Dynamics Simulation

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Bibliographical note

Keywords

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