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Article
Publication date: 25 May 2018

Muhammad Saleem Sumbal, Eric Tsui, Ricky Cheong and Eric W.K. See-to

The purpose of this paper is to investigate the critical types of knowledge lost when employees depart companies in the oil and gas field.

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Abstract

Purpose

The purpose of this paper is to investigate the critical types of knowledge lost when employees depart companies in the oil and gas field.

Design/methodology/approach

The study adopts a grounded theory methodology. Twelve semi-structured interviews were conducted with elite informants in the oil and gas sector to gain an in-depth insight into the research problem. ATLAS.ti was used for data analysis and coding.

Findings

In the oil and gas industry, employees generally have job rotation and work at various geographical locations during their career. The departing employees possess valuable types of knowledge depending on the role and duties they have performed over the years. These include specialized technical knowledge, contextual knowledge of working at different geographical locations, knowledge of train wrecks and history of company, knowledge of relationships and networks, knowledge of business processes and knowledge of management.

Research limitations/implications

The study findings might only be applicable to the oil and gas sector.

Originality/value

This paper fulfills an identified gap on the identification of critical areas of knowledge loss when employees depart from oil and gas companies. The study adds to the existing body of literature on this underexplored area in the knowledge management literature.

Details

Journal of Knowledge Management, vol. 22 no. 7
Type: Research Article
ISSN: 1367-3270

Keywords

Article
Publication date: 18 May 2010

Ricky K.F. Cheong and Eric Tsui

This paper aims to describe the roles and values of personal knowledge management (PKM). It seeks to investigate the roles of PKM in the KM process cycle and assess the values for

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Abstract

Purpose

This paper aims to describe the roles and values of personal knowledge management (PKM). It seeks to investigate the roles of PKM in the KM process cycle and assess the values for improving the competences of both individuals and organizations.

Design/methodology/approach

A research model was developed based on a critical review of KM and the PKM literature, followed by a survey of the KM participants in KM associations/interest groups/societies. The results and conclusions were made based on the quantitative analysis approach.

Findings

The results indicate that PKM is playing important roles in the KM process and both individuals and organizations are benefitting by PKM in improving their competences. The roles of PKM are positively correlated to the values of PKM for individuals and organizations. It is also found that the values of PKM for individuals are correlated to the values of PKM for the organization.

Research limitations/implications

This study is intended as a starting point for exploring the roles and values of PKM. It aims to provide a generalized model of PKM, with further research required for specific contexts.

Originality/value

The conceptual model of PKM 2.0 was developed based on the research findings which provide a better understanding in the area of PKM. This model also sets the foundation for future research and draws the attention of both academics and business executives in this under‐explored area. Up to now, there is no PKM framework or model that leverages on the Web 2.0 concepts. This paper provides the first examination of such aspects.

Details

VINE, vol. 40 no. 2
Type: Research Article
ISSN: 0305-5728

Keywords

Content available
Article
Publication date: 31 December 2012

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Abstract

Details

VINE, vol. 42 no. 1
Type: Research Article
ISSN: 0305-5728

Keywords

Content available

Abstract

Details

Aslib Proceedings, vol. 65 no. 3
Type: Research Article
ISSN: 0001-253X

Article
Publication date: 17 June 2020

Mukesh Kumar Singh and Vikas Gupta

Premature departure of highly skilled and experienced soldiers is detrimental to the excellence of a military organisation. The organisation can achieve knowledge superiority over…

Abstract

Purpose

Premature departure of highly skilled and experienced soldiers is detrimental to the excellence of a military organisation. The organisation can achieve knowledge superiority over adversaries, only if it acknowledges the organisation’s critical knowledge and undertakes necessary steps to preserve it. The purpose of this paper is to find out the critical types of knowledge loss in military organisations when a soldier departs.

Design/methodology/approach

This study uses grounded theory methodology with purposive/theoretical sampling of experts from the Indian Air Force, coding and constant comparative analysis to construct different knowledge categories. ATLAS.ti 8 was used for data coding and analysis.

Findings

This paper identifies eight types of knowledge categories in a military organisation and specifies the criticality of each category.

Research limitation/implication

This study has been piloted on a single organisation with a limited number of samples. However, the results can be used in future research on exploring generalisation. This study is unique in providing useful insights into the types of critical knowledge loss in a military organisation. Research infuses theoretical rigour to the knowledge management (KM) literature and provides impetus to study various aspects of KM in a military organisation.

Practical implication

This study provides the first set of guidelines for the leaders in military organisations to develop a KM strategy for knowledge loss. Research lists specific and actionable areas of knowledge for the commanders to act with considerable savings to exchequer, time and effort. The result could be reasonably generalised for other military setups in the world.

Originality/value

This paper is highly innovative and would significantly contribute to the under-explored area of KM in military organisations and the KM literature.

Details

VINE Journal of Information and Knowledge Management Systems, vol. 51 no. 4
Type: Research Article
ISSN: 2059-5891

Keywords

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