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

Lee, Cheng Sheng; Wong, Kuan Yew

doi:10.1080/01969722.2017.1284532

Cited by 13 publications

(11 citation statements)

References 23 publications

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“…Many papers have stressed that knowledge is a critical success factor in competitiveness for modern industrial systems (Carayannis et al, 2014;Desouza and Awazu, 2006;Lee and Wong, 2017;Lee et al, 2016;Mariano and Awazu, 2017;Wang et al, 2016), and knowledge management is becoming increasingly important for both large companies and small and medium enterprises (SMEs) (Calvo-Mora et al, 2016;Chawinga and Chipeta, 2017;Mcadam and Reid, 2001). Nevertheless, despite the extensive literature on the successful implementation of knowledge management initiatives in large companies, there has so far been little focus on SMEs.…”

Section: Introductionmentioning

confidence: 99%

How to deal with knowledge management misalignment: a taxonomy based on a 3D fuzzy methodology

Centobelli

Cerchione

Esposito

2018

JKM

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Purpose This paper aims to propose a new three-dimensional (3D) fuzzy logic methodology to evaluate the level of misalignment between an enterprise’s knowledge and the knowledge management systems (KMSs) it adopts. Design/methodology/approach The proposed methodology was implemented by means of a field analysis based on semi-structured face-to-face interviews involving a sample of 61 small and medium enterprises (SMEs) operating in high-tech and/or complex industries. Findings The paper highlights that while there is generally a high level of misalignment between an enterprise’s knowledge and the KMSs adopted, there are also a broad variety of behaviours. The paper identifies a taxonomy able to bring together the various types of behaviour associated with how an enterprise’s knowledge is related to KMS selection. Specifically, four behaviour patterns were identified, and the enterprises were then categorised accordingly as being guideposts, practice laggards, tool laggards or latecomers. Practical implications The proposed taxonomy provides an operational tool that can be used by enterprises and policy makers alike. The paper shows how enterprises can use this tool to understand which category they belong to and support decision-making to introduce changes leading to improved levels of alignment. Policy makers, on the other hand, can use the proposed taxonomy to identify measures to support the competitiveness of local systems by improving management processes and knowledge sharing among enterprises. Originality/value The paper highlights the difficulties that SMEs experience in adopting KMSs that are truly aligned with their knowledge and proposes a methodology to improve alignment.

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Section: Introductionmentioning

confidence: 99%

How to deal with knowledge management misalignment: a taxonomy based on a 3D fuzzy methodology

Centobelli

Cerchione

Esposito

2018

JKM

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“…Another important feature of advanced techniques is that they usually use optimization and operational research along with artificial intelligence. For instance, Wang et al (2011), Lyu et al (2016 and Lee and Wong (2017) used fuzzy logic for KM performance management. Some essential metrics or variables must be measured to assess the main characteristics.…”

Section: Types Of Knowledge Measurement Approachesmentioning

confidence: 99%

A two-phase decision-making model for product development based on a product-oriented knowledge inventory model

Dastaki

Afrazeh

Mahootchi

2021

JKM

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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.

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“…As further evidence regarding Knowledge Management Performance Measurement shows the lack of research in this area, 49 metrics have been validated to evaluate knowledge and performance management through fuzzy methodology. This is appropriate as SMEs act in uncertain environments, and fuzzy analysis has better reach for this type of study [27]. There is literature on fuzzy analysis indicators in the Supply Chain Management of SMEs in Iran, who find themselves in an uncertain position [1].…”

Section: Management Control Research In Smes With Fuzzy Logicmentioning

confidence: 99%

A Fuzzy Inference System for Management Control Tools

2021

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Despite the importance of the role of small and medium enterprises (SMEs) in developing and growing economies, little is known regarding the use of management control tools in them. In management control in SMEs, a holistic system needs to be modeled to enable a careful study of how each lever (belief systems, boundary systems, interactive control systems, and diagnostic control systems) affects the organizational performance of SMEs. In this article, a fuzzy logic approach is proposed for the decision-making system in management control in small and medium enterprises. C. Mamdani fuzzy inference system (MFIS) was applied as a decision-making technique to explore the influence of the use of management control tools on the organizational performance of SMEs. Perceptions data analysis is obtained through empirical research.

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

Cited by 13 publications

References 23 publications

How to deal with knowledge management misalignment: a taxonomy based on a 3D fuzzy methodology

How to deal with knowledge management misalignment: a taxonomy based on a 3D fuzzy methodology

A two-phase decision-making model for product development based on a product-oriented knowledge inventory model

A Fuzzy Inference System for Management Control Tools

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