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Article
Publication date: 9 July 2021

Mohsen Sadeghi Dastaki, Abbas Afrazeh and Masoud Mahootchi

Over the past years, many studies have explored the role of knowledge management (KM) in companies. KM is concerned with the measurement of knowledge to manage knowledge…

Abstract

Purpose

Over the past years, many studies have explored the role of knowledge management (KM) in companies. KM is concerned with the measurement of knowledge to manage knowledge efficiently. On the other hand, the intangible nature of knowledge makes its measurement challenging. Furthermore, there is no standardized method to measure knowledge, and it is chiefly measured based on the subjective judgment of researchers. Moreover, New Product Development (NPD) departments in many companies strive to assess their knowledge in terms of company products and knowledge workers. Hence, this study aims to propose a product-based two-phase technique that measures the company knowledge inventory.

Design/methodology/approach

In the first phase, the value of knowledge is quantified relative to products, knowledge workers and the entire company using two concepts of knowledge width and depth. Then, a three-dimensional knowledge asset map (knowledge, products and knowledge worker dimensions) is designed to assess and audit knowledge workers. Finally, this technique recruits an integer linear programming model with a cost minimization objective function to optimize the supply of NPD knowledge requirements in the second phase.

Findings

This model enables managers to determine what type of knowledge can be supplied by existing knowledge workers, whether within the company or by other external sources.

Originality/value

Among existing knowledge measurement methods, only a few use a product-based measuring technique. However, they fail to offer suitable scenarios for managers' decision-making process and consider cost structures in measurement techniques. Hence, this paper attempts to overcome these drawbacks.

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

Keywords

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…

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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

Keywords

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

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

1893

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

Keywords

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…

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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

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…

3564

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

Keywords

Article
Publication date: 27 September 2021

Adnan Alghail, Liu Yao, Mohammed Abbas and Yahia Baashar

The reasons behind the project management failure of higher education institutions (HEIs) have been researched for the past few years. One of the reasons is the lack of…

Abstract

Purpose

The reasons behind the project management failure of higher education institutions (HEIs) have been researched for the past few years. One of the reasons is the lack of tools to integrate their knowledge process capabilities (KPC) with their project management (PM) to measure maturity by assessing these capabilities. Various project management maturity (PMM) models exist. Yet, there is a limited number of empirical studies that support the four integrations of KPC and PMM. Therefore, this study aims to propose a new heretical model, namely, KPC-knowledge management (KM) and evaluates a research model that includes the four KPC as an antecedent to PMM.

Design/methodology/approach

The suggested research model is assessed by using partial least squares structural equation modeling. Furthermore, the study's hypotheses were examined based on a sample of 352 respondents from the project management departments in 10 public universities in Yemen.

Findings

Analysis revealed that the derived PMM status could be benchmarked with the project management maturity model. Also, the study found that integrating the KPC into PM enables the institutions to perform critical tasks and value chain activities and enhance the PM maturity level as well. In contrast, if one of the capabilities does not positively impact PMM, it affects the maturity level of the entire project.

Research limitations/implications

The findings are obtained concerning data collected from public universities and represent the Yemeni context, limiting the generalization on a different geographical area. Also, this proposed model can be evaluated in a practical way like conducting a focus group, a set of interviews with specialists, a case study or action research. The qualitative research will help academics to validate our proposal for future research purposes.

Practical implications

The proposed approach may be adapted to the characteristics of organizations involved in projects as external performers (project-based organizations) and not just the HEIs projects. This study provides managers and policymakers with insights into assessing PMM and improving their organizational effectiveness when deciding which KPCs to focus on in the future.

Social implications

This study contributes to the current PM awareness in Yemen and facilitates its success using the knowledge processes capabilities in Yemen's HEIs. It encourages organizations to take this opportunity to revive the projects and achieve a maximum level of maturity.

Originality/value

This study provides new insights into two domains through the link between knowledge management and PM. To the best of the authors' knowledge, this paper is among the first to empirically study the impact of the four KPC toward PMM. It enriches the theoretical perspective of PM. Also, it contributes to the literature on the success factor of KPC, which can be considered to improve organizational performance.

Details

Journal of Knowledge Management, vol. 26 no. 5
Type: Research Article
ISSN: 1367-3270

Keywords

Article
Publication date: 17 May 2022

Mudaser Javaid, Ayham A.M. Jaaron and Nor Hazana Binti Abdullah

The existence of intense competition in turbulent markets confirms the importance of using ethical employee practices in knowledge sharing behaviour (KSB) to ensure…

Abstract

Purpose

The existence of intense competition in turbulent markets confirms the importance of using ethical employee practices in knowledge sharing behaviour (KSB) to ensure organisational growth. This is especially applicable in developing countries' markets where this intensive competition usually results in organisations following illicit practices. This paper aims to examine the relationship between the Big Five personality traits (i.e. openness to experience, conscientiousness, extraversion, agreeableness, and neuroticism) and KSB using Islamic work ethics (IWE) as the moderator.

Design/methodology/approach

A quantitative research method using a survey instrument collected 182 responses from employees in the Pakistani telecommunication industry. The partial least squares structural equation model (PLS-SEM) was used to analyse the collected data.

Findings

The results found that IWE has a positive impact on KSB and a positive moderating impact on the relationship between the Big Five personality traits except neuroticism and KSB. Also, openness to experience and agreeableness positively impacted KSB.

Practical implications

This paper contributes to the field of human resource (HR) management by helping managers in the hiring process or developing employee's personalities. Additionally, policymakers are encouraged to create Islamic values platforms to increase KSB amongst employees.

Originality/value

This study indicates the importance of IWE in boosting the impact of personality on KSB and provides insights into IWE's role in enhancing an organisation's competitive advantages in turbulent markets.

Details

Cross Cultural & Strategic Management, vol. 29 no. 4
Type: Research Article
ISSN: 2059-5794

Keywords

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…

1853

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

Keywords

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