| Title |
Overcoming managers' myopic decisions in a waste collection company Lessons from a system dynamics-based research |
| ID_Doc |
66928 |
| Authors |
Bivona, E; Ceresia, F; Tumminello, G |
| Title |
Overcoming managers' myopic decisions in a waste collection company Lessons from a system dynamics-based research |
| Year |
2019 |
| Published |
Journal Of Modelling In Management, 14, 4 |
| DOI |
10.1108/JM2-01-2019-0028 |
| Abstract |
Purpose The purpose of this paper is to show how the changing interrelationships between fleet management, human resources and outsourcer capacity areas are likely to counterbalance managerial policies, thereby generating a performance decay. The use of system dynamics modelling in a waste collection company offered an effective contribution to support decision makers to overcoming myopic decisions. Design/methodology/approach Literature review and a case study analysis (including interviews with company actors and data gathering) offered the basis to build a system dynamics model. The model built was then used to run simulations sessions to assess alternative investments decisions. Findings Simulation results show that understanding cause-and-effect relationships between company sub-systems can help managers to shift the focus of their decision process from a single department to the whole business system. Further, the paper offers three alternative scenarios (myopic, reactive and proactive) from which to learn how to design effective long-term sustainable policies. Research limitations/implications - The simulation model was developed based on a literature review and a single-case study. Although it offers a useful contribution in the investigated case, to generalise its results, additional application to waste collection companies would be desirable. Practical implications - The findings of the study have implications for public decision makers and those scholars investigating how to discourage the adoption of myopic decisions in complex environments. Originality/value To the best of our knowledge, only few studies investigated how the fleet management is likely to impact on the performance of waste collection companies. This study offers a contribution in this direction. |
| Author Keywords |
Performance management; Learning; Modeling; Simulation; Maintenance; Operations research; Waste management; Fleet management; System dynamics; Scenario analysis |
| Index Keywords |
Index Keywords |
| Document Type |
Other |
| Open Access |
Open Access |
| Source |
Emerging Sources Citation Index (ESCI) |
| EID |
WOS:000488964000009 |
| WoS Category |
Management |
| Research Area |
Business & Economics |
| PDF |
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