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The purpose of this study is to investigate the integrated application of business process modeling and notation (BPMN) and value stream mapping (VSM) to improve knowledge work performance and productivity in police services. In order to explore the application of the hybrid BPMN-VSM approach in police services, this study uses the department of digital crime investigation (DCI) in one Norwegian police district as a case study.

Service process identification was the next step after selecting an appropriate organizational unit for the case study. BPMN-VSM-based current state mapping, including time and waste analyses, was used to determine cycle and lead time and identify value-adding and nonvalue-adding activities. Subsequently, improvement opportunities were identified, and the current state process was re-designed and constructed through future state mapping.

The study results indicate a 44.4% and 83.0% reduction in process cycle and lead time, respectively. This promising result suggests that the hybrid BPMN-VSM approach can support the visualization of bottlenecks and possible causes of increased lead times, followed by the systematic identification and proposals of avenues for future improvement and innovation to remedy the discovered inefficiencies in a complex knowledge-work environment.

This study focused on one department in a Norwegian police district. However, the experience gained can support researchers and practitioners in understanding lean implementation through an integrated BPMN and VSM model, offering a unique insight into the ability to investigate complex systems.

Complex knowledge work processes generally characterize police services due to a high number of activities, resources and stakeholder involvement. Implementing lean thinking in this context is significantly challenging, and the literature on this topic is limited. This study addresses the applicability of the hybrid BPMN-VSM approach in police services with an original public sector case study in Norway.

This paper aims to propose a methodology to support public managers' adaptation of the Hoshin Kanri (HK) strategy deployment approach in the context of lean thinking (LT), considering strategic alignment and consensus reaching when prioritizing a vital few of the organization's continuous improvement (CI) projects.

The methodology incorporates the A3 problem-solving report into the HK approach to identify and outline CI projects. The priority and deployment of the projects are weighted by a composite score for impact and innovation using the Delphi method. The proposed methodology was applied in one Norwegian police district as part of action research.

The obtained results indicate that the proposed methodology provides an intuitive and systematic approach to weigh the importance and ensure alignment of CI projects with the organization's strategy and goals. Consequently, this minimizes the possibility of strategy deployment priorities being weighted by decision bias and siloed decision-making.

The literature on strategy deployment in the context of LT in police services is significantly limited and this study aids in fixing this gap. The adapted HK approach can support the implementation of LT as an integral part of a comprehensive strategic management system, thereby enabling knowledge sharing and exploration of the extendibility of implemented best practices and improvement ideas to problems arising across the organization.