Moderation and mediation effect of green management on AI and OP of a medium-size criminal investigation department

The current widespread use of artificial intelligence (AI) in law enforcement represents a paradigm shift towards intelligence-led, predictive and data-driven criminal management, resulting in unprecedented advances in operational efficiency and strategic decision making globally. While these developments characterise AI policing in some world nations, their use in resource-constrained, post-conflict situations such as the Sierra Leone Police (SLP) is unclear. Using the medium-sized criminal investigation department (CID) of the SLP, the study on which this paper is based examined the effect of AI on the operational performance of the SLP, considering the mediating and moderating effect of green management (GM). A survey research design was employed, following a quantitative and deductive approach. A total of 181 out of 196 staff members at the CID headquarters were sampled. Primary data was collected using a structured and validated questionnaire and analysed using inferential statistics, with Smart PLS-SEM as the analytical tool. The findings revealed a statistically significant positive effect of AI on the operational performance (OP) (β = 0.356, t = 4.054, p < 0.001) of the SLP CID while the moderating interacting effect (AI*GM) on OP is negative and statistically significant (β = –0.221, t = 2.517, p = 0.012). On the other hand, the indirect effect (mediating role) of AI on OP through GM is positive but insignificant (β = 0.067, t = 1.906, p = 0.057). The study concluded that deliberate investment in AI and conscious consideration of GM will be a strategic tool for boosting policing and small and medium-sized establishments. Therefore, this paper recommends deliberate investment, proper implementation and constant monitoring of the usage of AI tools alongside GM, which will boost the general OP of police establishments and specifically bring them up to speed in meeting the demand for global practices. This article is also included in The Business & Management Collection which can be accessed at https://hstalks.com/business/.

Authors

Institutions

Publication Details

Journal
Journal of AI, robotics & workplace automation.
Published
2025-12-01
DOI
https://doi.org/10.69554/krjs3546
Primary Topic
Organizational and Employee Performance
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Moderation and mediation effect of green management on AI and OP of a medium-size criminal investigation department

Temitayo A. Joshua, Edafe Bawa Dogo, Oluwajuwon Gabriel Ariyo
Journal of AI, robotics & workplace automation.
Organizational and Employee Performance
article

Moderation and mediation effect of green management on AI and OP of a medium-size criminal investigation department

Temitayo A. Joshua, Edafe Bawa Dogo, Oluwajuwon Gabriel Ariyo
article en

Abstract

The current widespread use of artificial intelligence (AI) in law enforcement represents a paradigm shift towards intelligence-led, predictive and data-driven criminal management, resulting in unprecedented advances in operational efficiency and strategic decision making globally. While these developments characterise AI policing in some world nations, their use in resource-constrained, post-conflict situations such as the Sierra Leone Police (SLP) is unclear. Using the medium-sized criminal investigation department (CID) of the SLP, the study on which this paper is based examined the effect of AI on the operational performance of the SLP, considering the mediating and moderating effect of green management (GM). A survey research design was employed, following a quantitative and deductive approach. A total of 181 out of 196 staff members at the CID headquarters were sampled. Primary data was collected using a structured and validated questionnaire and analysed using inferential statistics, with Smart PLS-SEM as the analytical tool. The findings revealed a statistically significant positive effect of AI on the operational performance (OP) (β = 0.356, t = 4.054, p < 0.001) of the SLP CID while the moderating interacting effect (AI*GM) on OP is negative and statistically significant (β = –0.221, t = 2.517, p = 0.012). On the other hand, the indirect effect (mediating role) of AI on OP through GM is positive but insignificant (β = 0.067, t = 1.906, p = 0.057). The study concluded that deliberate investment in AI and conscious consideration of GM will be a strategic tool for boosting policing and small and medium-sized establishments. Therefore, this paper recommends deliberate investment, proper implementation and constant monitoring of the usage of AI tools alongside GM, which will boost the general OP of police establishments and specifically bring them up to speed in meeting the demand for global practices. This article is also included in The Business & Management Collection which can be accessed at https://hstalks.com/business/.

Journal of AI, robotics & workplace automation.Vol. 4(2)
Redeemer's University (NG), RED Consulting (Norway) (NO)
Peace, Justice and strong institutions
Openalex Percentile: Top 15%
Organizational and Employee Performance
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.