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Article
Publication date: 21 September 2018

Mohsen Sadeghi-Dastaki and Abbas Afrazeh

Human resources are one of the most important and effective elements for companies. In other words, employees are a competitive advantage. This issue is more vital in the…

Abstract

Purpose

Human resources are one of the most important and effective elements for companies. In other words, employees are a competitive advantage. This issue is more vital in the supply chains and production systems, because of high need for manpower in the different specification. Therefore, manpower planning is an important, essential and complex task. The purpose of this paper is to present a manpower planning model for production departments. The authors consider workforce with individual and hierarchical skills with skill substitution in the planning. Assuming workforce demand as a factor of uncertainty, a two-stage stochastic model is proposed.

Design/methodology/approach

To solve the proposed mixed-integer model in the real-world cases and large-scale problems, a Benders’ decomposition algorithm is introduced. Some test instances are solved, with scenarios generated by Monte Carlo method. For some test instances, to find the number of suitable scenarios, the authors use the sample average approximation method and to generate scenarios, the authors use Latin hypercube sampling method.

Findings

The results show a reasonable performance in terms of both quality and solution time. Finally, the paper concludes with some analysis of the results and suggestions for further research.

Originality/value

Researchers have attracted to other uncertainty factors such as costs and products demand in the literature, and have little attention to workforce demand as an uncertainty factor. Furthermore, most of the time, researchers assume that there is no difference between the education level and skill, while they are not necessarily equivalent. Hence, this paper enters these elements into decision making.

Details

International Journal of Intelligent Computing and Cybernetics, vol. 11 no. 4
Type: Research Article
ISSN: 1756-378X

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Article
Publication date: 18 May 2018

Osveh Esmaeelinezhad and Abbas Afrazeh

Inspired by the theory of planned behavior, the purpose of this paper is to examine the impact of the big five personality (BFP) traits (openness, conscientiousness…

Abstract

Purpose

Inspired by the theory of planned behavior, the purpose of this paper is to examine the impact of the big five personality (BFP) traits (openness, conscientiousness, extraversion, agreeableness, and neuroticism) on four aspects of individuals’ knowledge management (KM) behaviors: knowledge acquisition, knowledge storage, knowledge sharing, and knowledge application.

Design/methodology/approach

A survey-based approach was used to collect data from 221 employees from five knowledge-intensive firms.

Findings

The partial least square analyses confirmed a positive effect of two personality traits, openness and conscientiousness, on knowledge acquisition as well as knowledge application behavior. In addition, the positive effects of extraversion and conscientiousness traits on knowledge storage behavior were confirmed. The findings also revealed that agreeableness and openness traits positively relate to knowledge sharing behavior. Finally, neuroticism had a negative effect on knowledge acquisition and application behavior.

Practical implications

This study suggests that organizations need to incorporate employees’ personality into the design and implementation of their KM systems. The findings provide managers with insight into the course of personnel selection and retention to facilitate KM behaviors in organizations.

Originality/value

Little is known about the relationship between the BFP traits and four aspects of KM behaviors at the individual level. The present study has contributed to the existing body of literature through clarifying how personality traits relate to four dimensions of individuals’ KM behaviors.

Details

Aslib Journal of Information Management, vol. 70 no. 3
Type: Research Article
ISSN: 2050-3806

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Article
Publication date: 9 January 2017

Amir Zakery, Abbas Afrazeh and John Dumay

The purpose of this paper is to shed light on improving value creation from intellectual capital (IC) through reducing causal ambiguity and finding effective IC interventions.

Abstract

Purpose

The purpose of this paper is to shed light on improving value creation from intellectual capital (IC) through reducing causal ambiguity and finding effective IC interventions.

Design/methodology/approach

First, several guiding rules demonstrating the contribution of system dynamics (SD) to the field of IC management are introduced. Second, evidence for modelling resource dynamics is provided across a knowledge-based industry, insurance. Third, a management problem of an insurance company is modelled and then simulated using SD tools to monitor and improve the alignment of key resources with the firm’s market growth strategy.

Findings

The modelling and further simulation practice demonstrated the advantages of applying SD for analysing resource management problems to identify the critical IC components, intervention points and decision rules that may stimulate value-creating loops. Specifically for the case of an insurance company’s failure in market growth, it led to recognising the critical role of agency sales productivity as a key component of company’s relational capital and the intellectual liabilities that can lead to value destruction.

Originality/value

Reducing causal ambiguity in IC value creation through modelling and simulating firm resource dynamics is the main contribution of this paper. It enables finding the best intervention points for developing IC-based initiatives to stimulate value-creation mechanisms, as well identifying possible points of value destruction.

Details

Journal of Intellectual Capital, vol. 18 no. 1
Type: Research Article
ISSN: 1469-1930

Keywords

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Article
Publication date: 31 May 2011

Jalil Heidary Dahooie, Abbas Afrazeh and Seyed Mohammad Moathar Hosseini

This study attempts to identify the different types of activities that comprise a worker's job, and provide a framework for quantitative definition and segmentation of

Abstract

Purpose

This study attempts to identify the different types of activities that comprise a worker's job, and provide a framework for quantitative definition and segmentation of knowledge works (KWs).

Design/methodology/approach

Every KW has two main parts: working with knowledge and establishing communication. Thus, in order to provide an exact definition for the KW it is necessary to calculate the knowledge intensity score of a job (JKIS) and communication intensity score of a job (JCIS). For determining these two parameters precisely, jobs were broken hierarchically to tasks and then activities. To identify these activities, an initial list of activities mentioned in the literature was created and then completed with generalized work activities of O*NET. A six‐step framework for calculating of JKIS and JCIS was proposed and finally, different groups of knowledge workers (KWrs) with respect to JKIS and JCIS were identified by using a clustering method.

Findings

This article shows how KW can be defined and segmented based on two dimensions (i.e. knowledge intensity score of a job (JKIS) and communication intensity score of a job (JCIS)). The proposed framework was used to analyze 133 jobs in 11 organizations. Practicality and validity of framework were examined based on this empirical study.

Research limitations/implications

This study is a base for the identification of appropriate managerial frameworks corresponding to each discovered group of KWrs. Using more data can improve the results obtained in this study.

Practical implications

This work emphasizes the importance of defining and clustering KW and proposes a practical method for this aim.

Originality/value

A new framework for the quantification of KW is proposed. This framework is supported by five principles inferred from the literature.

Details

Journal of Knowledge Management, vol. 15 no. 3
Type: Research Article
ISSN: 1367-3270

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Article
Publication date: 13 July 2015

Amir Zakery and Abbas Afrazeh

Intangible resources are the most distinctive firms’ assets in competitive environments especially in service businesses. Insurance firms seeking more efficient…

Abstract

Purpose

Intangible resources are the most distinctive firms’ assets in competitive environments especially in service businesses. Insurance firms seeking more efficient performance than competitors should improve their intellectual capital (IC) strategies in both aspects of IC creation and utilization. The purpose of this paper is to investigate and improves IC participation in insurance firms’ efficiency.

Design/methodology/approach

A two-phase framework: “explaining IC role in efficiency” and “measuring efficiencies of IC creation and application” is developed in order to find IC strategies increasing firms’ efficiency and though competitiveness. Efficiency is measured using data envelopment analysis and the generalized estimating equations is used as the regression method in order to explain efficiency with IC measures.

Findings

Empirical results in Iran insurance sector (during a seven-year period for 17 Iranian insurers) show some IC components influence firms’ efficiency and could be intervention points for performance improvement. Then the firms are categorized into four zones in terms of IC efficiency and strategies are recognized for each category.

Research limitations/implications

Although the research is initiated by the need to embed intangible resources in performance improvement in insurance sector, the research framework could be strongly applied in other knowledge-based industries.

Originality/value

This paper embeds an innovative link between classic efficiency and IC which aligns resource management with competitiveness strategies.

Details

Journal of Intellectual Capital, vol. 16 no. 3
Type: Research Article
ISSN: 1469-1930

Keywords

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Article
Publication date: 12 January 2010

Abbas Monavvarian and Zahra Khamda

The purpose of this paper is to investigate the relations between people development management (PDM) as independent variable and knowledge management (KM) as dependent…

Abstract

The purpose of this paper is to investigate the relations between people development management (PDM) as independent variable and knowledge management (KM) as dependent variable, in some Iranian healthcare centers. Design/methodology/approach – Applying the structural equation model (SEM) approach. Investigating causal relations of the variables through Lisrel software. Findings – Findings show that in the researched organizations there is a significant positive relation between PDM and its components, and KM. PDM have direct significant effect (0.85) on KM. The relation between the factor titled as “learning needs analysis and induction”, and KM is fairly more important than the other factors. Research limitations/implications – More research needs to be done in the same areas to judge about the effect of human assets strategies on KM. In case of the surveyed organization, it seems there is a vital need to review the PDM and KM strategies and develop some procedures to improve and keep the business up. Practical implications – Although the proposed model has proved no causal relation between PDM components and KM, except in the case of “learning needs analysis and induction”, it does not mean that no correction action is needed in other dimensions. In other words, it is necessary to expand a well‐developed people development management project to meet a successful knowledge management. Originality/value – Our conceptual model of research has two dimensions. In one side we chose Newman's model of knowledge management, On the other side we consider a comprehensive pattern of people development management, named People Developer Standard. Through this model an appropriate framework to manage and develop the human assets and a series of developer activities will be formed to achieve people excellence.

Details

Business Strategy Series, vol. 11 no. 1
Type: Research Article
ISSN: 1751-5637

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Article
Publication date: 12 March 2018

Eugénia Pedro, João Leitão and Helena Alves

The purpose of this paper is to determine the predominant classification of intellectual capital (IC), in terms of components, using the literature of reference on the…

Abstract

Purpose

The purpose of this paper is to determine the predominant classification of intellectual capital (IC), in terms of components, using the literature of reference on the relationship between IC and performance and considering multi-dimensional analysis axes (MAAs): organisational, regional and national.

Design/methodology/approach

A systematic literature review (SLR) is presented focussing on empirical studies on IC published in the period 1960-2016. A protocol for action is defined and a research question is raised, gathering data from the databases of: Web of Science, Scopus and Google Scholar. A social network analysis is also provided to determine the type of networks embracing groups, IC individual components and performance type.

Findings

Of the 777 papers included in the SLR, 189 deal with the relationship between IC and performance. The paper highlights the greater development of empirical studies starting from 2004; the organisational MAA is the most studied. The most frequently used groups of components in studies dealing with IC’s influence on performance corresponds to a triad of human capital; structural (organisational or process) capital; and relational (social or customer) capital, which determine positively the performance of organisations/regions/countries, but their influence is not linear and depends on various factors associated with the context and surrounding environment.

Practical implications

This study has wide-ranging implications for politicians/governments, managers and academics, providing empirical evidence about the relationships between the components of IC and performance, by MAAs, and a global vision and better understanding of how those IC components have developed and how they are related to performance.

Originality/value

Due to the high number of references covering a wide range of disciplines and the various dimensions (e.g. organisational, regional and national) that form IC, it becomes fundamental to carry out an SRL and systematise its MAAs to deepen knowledge about what has been discovered/developed in this domain, in terms of empirical studies, in order to situate the topic in a wider theoretical-practical context. The paper is exceptionally wide-ranging, covering the period 1960-2016. It is one of the first clarifying studies on systemisation of the literature on IC, by MAA, and an in-depth study of IC’s impact on the performance of organisations/regions and countries which may serve as a guideline for future studies using the taxonomy proposed.

Details

Journal of Intellectual Capital, vol. 19 no. 2
Type: Research Article
ISSN: 1469-1930

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Article
Publication date: 28 June 2018

Eugénia Pedro, João Leitão and Helena Alves

For better mapping the path of intellectual capital (IC) research, the purpose of this paper is to selectively review empirical studies of IC published, and identify…

Abstract

Purpose

For better mapping the path of intellectual capital (IC) research, the purpose of this paper is to selectively review empirical studies of IC published, and identify theories, components and three dimensions of analysis: national IC (NIC), regional IC (RIC) and organizational IC (OIC).

Design/methodology/approach

The systematic literature review (SLR) subject to analysis is based on empirical studies made between 1960 and 2016, and focuses on three dimensions of analysis: NIC, RIC and OIC. Four research questions were designed, using the following databases, namely, Web of Science, Scopus and Google Scholar, for data collection purposes.

Findings

The SLR unveils a multidimensional taxonomy for measuring and classifying the type of IC applicable to the different levels of analysis and provides some recommendations for future studies of NIC, RIC and OIC, by outlining the need for clear definitions of components and measures of IC and identifying strengths, limitations and future research avenues.

Originality/value

In order to fill the gap found in the literature and the non-existence of a study clarifying the multiple dimensions of analysis of IC, this SLR makes a twofold, original contribution to the literature on management: providing an SLR of the main empirical studies dealing with different units of analysis; and identifying a multidimensional taxonomy for measuring and classifying the type of IC applicable to the different levels of analysis.

Details

Management Decision, vol. 56 no. 11
Type: Research Article
ISSN: 0025-1747

Keywords

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