Exploring knowledge work waste in public emergency services using the AHP algorithm

Abstract

Purpose This paper aims to explore knowledge work waste and defines the priorities for enhancing performance and productivity in policing and prosecution services (PPS), especially in the crime investigation process (CIP). Design/methodology/approach Using the analytic hierarchy process (AHP), a case study of a Norwegian police district is examined to identify and prioritize the most performance-vulnerable crime investigation unit, using the adapted knowledge work waste as the performance metric. Findings Nine waste categories and 15 subcategories are identified and understood within a two-dimensional network of managerial and operational waste adapted for the PPS. The AHP helps classify levels of priority for each knowledge work waste and orderly prioritization of crime investigation units. Research limitations/implications The findings have limited generalizability, as they are based on a single Norwegian police district. This warrants research on the wider applicability of the adapted waste categories and approach. Practical implications This study can support public managers in implementing lean thinking and identifying the most prominent wastes in a complex system. In this context, processes and operations are among the factors dominated by knowledge work and are dependent on multiple stakeholders, cross-functional activities and interdisciplinary collaboration, which is more challenging to measure systematically and quantitatively than in a manufacturing environment. Originality/value This study contributes to the gap in lean thinking literature by advancing the knowledge on the adaptation and application of the foundational principles of lean thinking in the PPS and CIP.

Waste Management Strategy as an Effort to Reduce Emissions Due to Open Waste Burning: Demak Regency Case Study

“…The AHP method was applied to determine emission reduction strategies using Expert Choice software [48,49]. Before choosing to use the AHP method, it is necessary to determine the elements related to emission reduction strategies for open waste burning activities, which are divided into several levels [50,51]. The AHP method consists of four levels: main goal, factors, objectives, and alternative strategies [52].…”

BPMN-VSM-based knowledge-work process analysis and improvement in police services: a case study

“…In contrast to the manufacturing industry, police agencies represent unique challenges and barriers to management theory and practice, which are generally adopted at a slower pace (Cukier et al, 2012). Police agencies can be considered as complex systems wherein knowledge-work processes are more intangible in nature because they involve knowledge gathering and creation, knowledge sharing, knowledge codification and knowledge retention, which occur inside the minds of knowledge workers (Staats et al, 2011;Santhiapillai and Ratnayake, 2023). In this context, Santhiapillai and Ratnayake (2023) conceptually explore the identification and prioritization of knowledge work waste in police services and crime investigation.…”

“…overproduction, over-processing, waiting, motion, transportation, inventory, defect and underutilization of knowledge and skills) (Th€ urer et al, 2017). However, these are often adapted in terms of formulation and terminology to the given context in which they are applied (Douglas et al, 2015;Santhiapillai and Ratnayake, 2023). There are three types of activities in any operational process: (1) value-adding activities (VA) that add value to the final product or service, (2) non-value-adding activities (NVA) and (3) necessary NVA (NNVA) which does not add value but is unavoidable (Sangwa and Sangwan, 2022).…”

“…To conduct the Pareto analysis, a sample of cases should have been qualitatively analyzed based on a framework for knowledge work waste. The framework Santhiapillai and Ratnayake (2023) presented in their study on exploring knowledge work waste in public emergency organizations could support such an analysis. However, due to time and resource constraints, the Pareto analysis was not conducted during this study.…”

Sistem Pendukung Keputusan Rekomendasi Pengangkatan Karyawan Kontrak Menjadi Karyawan Tetap Menerapkan Metode Multi Objective Optimization on the Basis of Ratio Analysis (MOORA)

“…Sistem Pendukung Keputusan adalah sistem informasi berbasis komputer yang digunakan untuk membantu dalam pengambilan keputusan dengan menggunakan data dan model tertentu untuk mendukung pengambilan keputusan dalam memecahkan masalah yang bersifat semi-struktural atau tidak struktural [1]. Sistem pendukung keputusan dapat diterapkan dengan menggunakan salah satu dari metode yang telah disediakan seperti metode SAW, WP, MOORA, MOOSRA, TOPSIS, WASPAS, VIKOR, PSI, OCRA, MAUT, AHP, ELECTREE dan metode pembobotan seperti ROC, AHP DAN Enthropy [3][4] [5][6] [7]. Metode yang dipakai dalam penelitian ini adalah metode MOORA, dimana metode ini mampu menyelesaikan berbagai masalah dalam pengambilan keputusan dengan menggunakan perhitungan matematika yang rumit dan dapat digunakan dalam lingkungan manufaktur atau perusahaan [8] [9][1] [2].…”