Knowledge Management Performance Measurement Research Articles

Knowledge management performance measurement based on World-Class Competitive Advantages to develop strategic-oriented projects: Case of Iranian oil industry

Knowledge Management (KM) is one of the main sources for achieving World-Class Competitive Advantages (WCCAs), and is also an incentive for the development of strategic-oriented projects. Because subsidiaries of the oil industry are always looking for WCCAs to implement their strategic-oriented projects, it is important to measure WCCAs-based KM performance. We offered a WCCAs-based Knowledge Management Performance Measurement (KMPM) instrument to develop strategic-oriented projects and validated it in the Iranian oil industry. Based on an in-depth review of previous studies, the indicators of KMPM that could lead to WCCAs were extracted. Then, an exploratory factor analysis and a confirmatory factor analysis were used to identify and confirm the criteria of the proposed instrument. Based on the proposed instrument, the KM performance of the subsidiaries of the Iranian Ministry of Petroleum (MoP) was assessed, and finally, strategic-oriented projects were suggested. Our proposed instrument includes four main criteria, namely “knowledge quality”, “knowledge utility”, “knowledge innovation”, and “business results”, all of which are valid in the Iranian oil industry. Our findings also present 17 strategic-oriented projects. The policymakers and the top managers of the surveyed companies could obtain more knowledge regarding measuring the WCCAs-based KM performance, and utilize it to develop their strategic-oriented projects. The present research is one of the first studies of its kind that provides a WCCAs-based KMPM instrument and expands the literature on KMPM and WCCAs.

Performance measurement for knowledge management project: model development and empirical validation

Purpose This paper aims to propose a model for measuring the performance of knowledge management (KM) projects in enterprises. No such model has been proposed in the literature thus far. The activities, factors and outcomes of KM are the main constructs of the model. Their operationalization and interactions are investigated. Design/methodology/approach A survey was conducted of 120 respondents from SME firms in Morocco. A structural equation modeling (SEM) technique called partial least squares (PLS) was used to assess the validity of the constructs and verify the hypotheses. A performance index for KM projects was derived from the model constructs. Findings The results support the model designed for KM activities and related interactions. The effects of KM activities on its outcomes are significant as well. The results also confirm that KM factors are predictors of KM activities and that the effects of these are significant. Furthermore, a performance importance analysis (importance performance map analysis [IPMA]) was performed on the data to expand the results of the PLS-SEM by identifying under-performing KM drivers that require managerial action. Originality/value This paper is one of the first to propose a generic performance measurement model for KM projects. Additionally, it is a pioneering study in the use of IPMA for KM performance measurement.

호텔직원의 지식경영 성과측정에 관한 연구

호텔직원의 지식경영 성과측정에 관한 연구

Development and Validation of a Knowledge Management Questionnaire

Purpose: The purpose of this study was to propose a reliable and valid knowledge management performance measurement (KMPM) model for enterprises. Accordingly, this study draws on the knowledge management (KM) and factors affecting the flow of knowledge and its sharing in organizations, particularly the Ministry of Education (MOE) in Oman. Design/methodology: The study explored the current status of knowledge management (KM) in the MOE in general and knowledge sharing (KS) in particular; it also explored the factors affecting (KS). Therefore, it was divided into two sections: demographics and multiple choice questions comprising five factors: KMP, KS, Attitude, Commitment, and Shared Trust. The dimensional structure of the questionnaire was investigated with a sample of 136 employees holding various positions from the 9 Directorate General at the MEO in Oman (61.8% males and 38.2% females). Findings: Based on the factor analysis results, the questionnaire emphasized five factors: KMP, KS, Attitude, Commitment, and Shared Trust. The internal consistency and concurrent validity of KMPM were verified (Cronbach's alpha = 0.944). KMPM and its factors were significantly correlated with Socio-Technical Enablers (STE) scale. The validity of KMPM was tested using concurrent validity method and revealed a significant correlation of (0.847) between the two scales. This questionnaire was proved to be relatively reliable and valid. Practical implications: The researchers developed a questionnaire to measure the reality of KM initiatives in the MOE by assessing whether the work environment: (1) nurtures and accelerates the sharing of knowledge, (2) identifies enablers and obstacles affecting the flow of knowledge and (3) trains staff to capture the proper knowledge to be able to share it with the right people at the right time in the right form and at the right cost. The employees were classified according to job title into three levels: strategic, executive, and operational. Originality/value: This paper attempts to provide a comprehensive overview of the reality of knowledge management performance (KMP) capability assessment instrument in the MOE in Oman. No such measurement instrument currently exists in Oman. The instrument not only demonstrated consistent reliability, but also provided insights into organizational readiness for KMP with regard to three main individual factors, namely Commitment, Attitude, and Shared Trust.

A Fuzzy Logic-Based Knowledge Management Performance Measurement System for SMEs

ABSTRACTTo improve a knowledge management (KM) initiative, its effectiveness and performance has to be evaluated so that the area which is deficient can be improved. Yet, there is a lack of knowledge management performance measurement (KMPM) systems and this is apparent in the case of small and medium enterprises (SMEs), as most of the studies have focused on large organizations. Furthermore, KM is characterized by an environment subject to uncertainties and fuzziness, thus there is a need to adopt a specific approach to address this issue. Hence, this article intends to present the development of a KMPM system using a fuzzy logic methodology specifically for the SME sector. MATLAB and Simulink were used to develop the KMPM system and case studies were conducted in three small and medium-sized consultancy companies to evaluate it. The case studies showed that the developed KMPM system is suitable for SMEs and further improvement was made to the system.

Knowledge management performance measurement in micro-, small-, and medium-sized enterprises

Knowledge management (KM) is recognized as an important means for attaining competitive advantage and improving organizational performance. The evaluation of KM performance has become increasingly vital, as it provides the direction for organizations to enhance their performance and competitiveness. A survey was carried out to test the applicability of 14 constructs based on knowledge resources, KM processes, and KM factors in measuring the KM performance for small and medium enterprises (SMEs) in Malaysia. This article intends to further explore the effects of company size (micro, small, and medium) and KM maturity on knowledge management performance measurement (KMPM). Two-way analysis of variance results indicate that company size and KM maturity do affect some aspects of KMPM in SMEs.

Development and validation of knowledge management performance measurement constructs for small and medium enterprises

Purpose– This paper aims to address the lack of previous studies and to propose a reliable and valid knowledge management performance measurement (KMPM) model for small and medium enterprises (SMEs).Design/methodology/approach– A survey instrument containing 13 constructs and 49 items was initially developed and posted to small and medium-sized consultancy firms in Malaysia. Reliability and validity analysis was performed to ensure the quality of the instrument.Findings– The developed survey instrument was shown to be reliable, valid and suitable to be applied in SMEs to evaluate their knowledge management (KM) performance.Research limitations/implications– The present study is limited to SMEs in the service sector. The results are not suitable to be generalized to the manufacturing sector or larger organizations without further research.Practical implications– This study would provide SMEs with a better understanding on KMPM and also a guideline to refer to when measuring their KM performance. Academics can use this study as a basic model to explore KMPM in SMEs and develop new measurement models.Originality/value– This study is believed to be the first that has scientifically developed and empirically tested the constructs that represent a comprehensive KMPM model tailored for SMEs.

Knowledge Management performance measurement: measures, approaches, trends and future directions

This paper presents a review on Knowledge Management (KM) performance measurement in the past two decades. Various tools and techniques that have been developed are discussed and presented chronologically to show how KM performance measurement has changed during this period. Each tool and technique is evaluated and classified based on the types of measures and approaches used. This paper also proposes six new categories: traditional, advanced, deterministic, stochastic, general result oriented, and specific result oriented, to complement the previous classification schemes. Future research directions for KM performance measurement are identified and presented in a holistic framework to act as a guideline for new researchers who wish to embark on this field.

Monte Carlo Data Envelopment Analysis with Genetic Algorithm for Knowledge Management performance measurement

The paper targets to devise a genuine Knowledge Management (KM) performance measurement model in a stochastic setting based on Data Envelopment Analysis (DEA), Monte Carlo simulation and Genetic Algorithm (GA). The proposed model evaluates KM using a set of proxy measures correlated with the major KM processes. Data Collection Budget Allocation (DCBA) that maximizes the model accuracy is determined using GA. Additional data are generated and analyzed using a Monte-Carlo-enhanced DEA model to obtain the overall KM efficiency and KM processes’ efficiency scores. An application of the model has been carried out to evaluate KM performance in higher educational institutions. It is found that with GA, the accuracy of the model has been greatly improved. Lastly, comparing with a conventional deterministic DEA model, the results from the proposed model would be more useful for managers to determine future strategies to improve their KM.

Knowledge management process effectiveness: measurement of preliminary knowledge management implementation

While knowledge management (KM) has been widely discussed by many academics and practitioners, measurement is undoubtedly the least developed aspect of KM due to the intangibility of knowledge assets. It is of paramount importance to establish performance measures at different stages of KM implementation even from the beginning so that its effectiveness can be identified. This paper thus serves to explore KM performance measurement from the angle of KM process effectiveness. Through the data collected from 289 managers in the Malaysian telecommunication industry, where KM implementation is just beginning to take place, significant interactions were found between four of the five proposed KM preliminary success factors (i.e. business strategy, K audit, K map, KM team) and all four KM elements of strategies (i.e. technology, culture, leadership, measurement) with KM process effectiveness. The findings of this study serve as a guide for organizations in driving their KM journey and reaching their destinations even at the beginning stage of their KM implementation.

User‐satisfaction‐based knowledge management performance measurement

PurposeThis paper aims to develop a user‐satisfaction‐based knowledge management performance measurement model, including identifying the assessment criteria sourced from user‐satisfaction‐based core values, critical success factors and phases of knowledge management process. With the aid of the developed measurement model, organisations could assess the strength and weakness of their own knowledge management system and practice and then identify areas for improvement.Design/methodology/approachUser‐satisfaction‐based core values, critical success factors and five‐phase knowledge management process are identified through literature review and analysis, and expert interviews, with the aid of system‐modelling techniques.FindingsThe seven user‐satisfaction‐based core values, eight critical success factors and five‐phase knowledge management process are identified as the basis of the assessment criteria. These assessment criteria provide academics and practitioners with a new insight into the research landscape for knowledge management performance measurement.Originality/valueThe user‐satisfaction‐based approach provides direct measurement of knowledge management performances in organisations. The developed user‐satisfaction‐based knowledge management performance measurement model covers comprehensive assessment criteria, which are crucial to enable organisations to measure their knowledge management practices and identify improvement areas. It also provides a platform to benchmark performances among companies and even industries, and in turn continually improve knowledge management performances.

Development of user-satisfaction-based knowledge management performance measurement system with evidential reasoning approach

Confronting fierce global competition, organizations have implemented knowledge management to enhance competitive advantages. With increasing investments in resources for knowledge management implementation in many organizations, measuring knowledge management performance has become an important agenda among researchers and practitioners. However, the current knowledge management performance measurement methods cannot truly report the results of organizations’ knowledge management efforts. To address this problem, there is a need of a better approach for measuring knowledge management performance in organizations. This paper presents the authors’ recent research in using a K-user satisfaction based approach and evidential reasoning methodology to develop a user-satisfaction-based knowledge management performance measurement system for organizations to identify strengths and weaknesses, as well as enhance continuous learning. A case study in applying the developed system and methodology in primary school education has been conducted to demonstrate its effectiveness.

Measuring knowledge management performance using a competitive perspective: An empirical study

This paper proposes an approach of measuring a technology university’s knowledge management (KM) performance from competitive perspective. The approach integrates analytical network process (ANP), which is a theory of multiple criteria decision-making and is good at dealing with tangible and intangible information, with balanced scorecard (BSC) that contains four perspectives, including customer perspective, internal business perspective, innovation and learning perspective, and financial perspective, being adopted as the indicators of KM performance measurement (KMPM). This paper makes three important contributions: (1) it propose a methodology of comparing an organization’s knowledge management performance with its major rivals to offer effective information for improving KM, increasing decision-making quality, and obtaining clear effort direction of attaining competitive advantage; (2) it explores the case involving a lot of findings that present the positions of the case organization against it major rivals and imply that the technology university has to reinforce knowledge creation and accumulation to catch up with its competitive rivals; and (3) it is generic in nature and applicable to benefit an organization. The results prove the proposed method can act as a measurement tool for the entire KM of an organization.

Comparing with your main competitor: the single most important task of knowledge management performance measurement

The single most important task of knowledge management (KM) performance measurement is comparing your company with its main rivals. Most of the metrics and methods of knowledge measurement that have been developed are concentrated on measuring the knowledge within the organization, which may be nice to know, but is not critical. In this paper, we propose a methodology for comparing a firm's knowledge management performance with its major rivals using the Analytical Network Process (ANP) to obtain a clear direction of the effort required to gain or maintain a competitive advantage. The ANP approach employed in the present study is a theory of multiple criteria decision making (MCDM), and is good at dealing with tangible and intangible information. Our methodology is designed to make a detailed comparison of a firm's KM performance with that of its main rivals, in order to be able to provide effective information for improving its KM and to increase its decision-making quality. This paper makes three important contributions: (1) it develops a comprehensive model, which incorporates a variety of issues for conducting KM performance measurements in comparison with major rivals; (2) case experience is provided to help us understand the advantages and disadvantages of the methodology for KM performance measurement from a practical point of view, and (3) the results obtained from exploring the case firm present changes that the case firm can make, implying that the case firm must reinforce its knowledge creation and internalization so as to improve its position in comparison with its most competitive rivals. The method proposed by this paper is generic in nature and is applicable to benefit any firm.