A framework to retain the knowledge of departing knowledge workers in the manufacturing industry

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Sumbal, Muhammad SaleemDepartment of Management and HR, NUST Business School, National University of Sciences and Technology (NUST), Islamabad, Pakistan (author)

A framework to retain the knowledge of departing knowledge workers in the manufacturing industry

Article/chapterEnglish2020

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Emerald Group Publishing Limited,2020
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Numbers

LIBRIS-ID:oai:DiVA.org:his-18219
https://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-18219URI
https://doi.org/10.1108/VJIKMS-06-2019-0086DOI

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Language:English
Summary in:English

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SwePubSwePub

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Subject category:ref swepub-contenttype
Subject category:art swepub-publicationtype

Notes

Purpose: The purpose of this study is to develop a conceptual framework on knowledge loss in a manufacturing sector based on three aspects: likelihood of knowledge loss, critical areas of knowledge loss and relevance of each of these knowledge areas in terms of utilization and alignment with organizational goals and strategy. Such a conceptual framework can be helpful to the practicing managers in understanding the types of knowledge that is lost of a given departing employee and thus deciding on a measure to retain the critical employees or capture their knowledge before they leave. Design/methodology/approach: Using a case study approach, data has been collected from a multinational battery manufacturing company based in Hong Kong. Semi-structured interviews have been conducted and analyzed through CAQDAS ATLAS.ti to generate the themes which were then used to develop the conceptual framework. Findings: The findings revealed that the likelihood factors of knowledge loss in the manufacturing sector include layoffs, retirement, immigration and job change. The critical areas of knowledge loss comprise the knowledge of relationships and networks, especially with the customers and suppliers, the technical knowledge (battery and process technology) and knowledge of management, among others. The relevance of each of these knowledge areas needs to be determined through proper analysis whether these knowledge areas are needed in future projects, up to date and aligned with organizational goals and strategy along with other factors. Research limitations/implications: Using the developed conceptual framework, managers and executives can identify critical employees in the manufacturing sector and accordingly take some appropriate measures to retain their knowledge. Caution should be taken while applying the findings of this study in other industries and context. Originality/value: This paper is an attempt to reduce the dearth of empirical studies by exploring knowledge retention in the manufacturing sector, especially in the development of proper conceptual frameworks to assess the potential knowledge loss of employees.

Subject headings and genre

SAMHÄLLSVETENSKAP Ekonomi och näringsliv Företagsekonomi hsv//swe
SOCIAL SCIENCES Economics and Business Business Administration hsv//eng
TEKNIK OCH TEKNOLOGIER Maskinteknik Produktionsteknik, arbetsvetenskap och ergonomi hsv//swe
ENGINEERING AND TECHNOLOGY Mechanical Engineering Production Engineering, Human Work Science and Ergonomics hsv//eng
Battery
Conceptual framework
Knowledge loss
Knowledge retention
Manufacturing
Electric batteries
Human resource management
Industrial research
Managers
Manufacture
Battery manufacturing
Conceptual frameworks
Design/methodology/approach
Manufacturing industries
Organizational goals
Semi structured interviews
Knowledge management
Knowledge and Innovation Management (KIM)
Knowledge and Innovation Management (KIM)

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Tsui, EricDepartment of Industrial and Systems Engineering, Hong Kong Polytechnic University, Kowloon, Hong Kong (author)
Durst, Susanne,Dr. och docent,1974-Högskolan i Skövde,Institutionen för handel och företagande,Forskningsmiljön Framtidens företagande,Knowledge and Innovation Management (KIM)(Swepub:his)durs (author)
Shujahat, MuhammadKnowledge Management and E-Learning Lab, Faculty of Education, The University of Hong Kong, Hong Kong (author)
Irfan, IrfanDepartment of Management and HR, NUST Business School, National University of Sciences and Technology (NUST), Islamabad, Pakistan (author)
Ali, Syed MuhammadDepartment of Engineering Management, National University of Sciences and Technology (NUST), Islamabad, Pakistan (author)
Department of Management and HR, NUST Business School, National University of Sciences and Technology (NUST), Islamabad, PakistanDepartment of Industrial and Systems Engineering, Hong Kong Polytechnic University, Kowloon, Hong Kong (creator_code:org_t)

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