دانلود رایگان مقاله انگلیسی چگونگی مقابله با عدم تعادل مدیریت دانش: طبقه بندی با روش فازی - امرالد 2017

عنوان فارسی
چگونگی مقابله با عدم تعادل مدیریت دانش: یک طبقه بندی مبتنی بر یک روش فازی سه بعدی
عنوان انگلیسی
How to deal with knowledge management misalignment: a taxonomy based on a 3D fuzzy methodology
صفحات مقاله فارسی
0
صفحات مقاله انگلیسی
30
سال انتشار
2017
نشریه
امرالد - Emerald
فرمت مقاله انگلیسی
PDF
کد محصول
E6832
رشته های مرتبط با این مقاله
مدیریت
گرایش های مرتبط با این مقاله
مدیریت دانش، مدیریت کسب و کار
مجله
مجله مدیریت دانش - Journal of Knowledge Management
دانشگاه
Department of Industrial Engineering - University of Naples - Frederico II - Naples - Italy
کلمات کلیدی
سیستم های مدیریت دانش، مدیریت دانش، شرکت های کوچک و متوسط، استراتژی های تصمیم گیری، شرکت های تامین، نظریه مجموعه ای فازی سه بعدی (3D-FST)
چکیده

Abstract


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.

نتیجه گیری

6. Conclusions


This paper has proposed a new 3D fuzzy logic methodology that can be used to evaluate the level of alignment between an enterprise’s knowledge and its KMSs to provide an answer to this research question: what is the level of misalignment between the enterprise’s knowledge and the KMSs adopted in SMEs?


The relevance of this topic is justified by the fact that the literature has paid attention to the concept of knowledge as an asset but not knowledge as a liability which is created when the organisation mismanages knowledge or when the organisation adopts KMSs that are misaligned with the enterprise’s knowledge and risks to make decisions that reduce the value of assets.


Two knowledge dimensions were considered: the epistemological and the ontological. The choice of these two dimensions depends on three main factors. First, the epistemological and ontological dimensions represent the nature and degree of knowledge sharing that form the heart of the process of knowledge management. Second, the taxonomies based on these two dimensions are by far the most commonly used by scholars and practitioners in the field of knowledge management. Finally, they are familiar to entrepreneurs, technicians, and managers and are thus easy to use in a field analysis.


بدون دیدگاه