Publication details
Knowledge management and waste management: current state and implications for future research
| Authors | |
|---|---|
| Year of publication | 2014 |
| Type | Article in Proceedings |
| Conference | IFKAD 2014: 9TH INTERNATIONAL FORUM ON KNOWLEDGE ASSET DYNAMICS: KNOWLEDGE AND MANAGEMENT MODELS FOR SUSTAINABLE GROWTH |
| MU Faculty or unit | |
| Citation | |
| Field | Management and administrative |
| Keywords | Knowledge management; Qualitative content analysis; Waste management; Review; Categories |
| Description | The purpose of this article is to create a comprehensive review of existing research in the area of knowledge management of waste management. Waste management can be considered as a related field to reverse logistics. As the research regarding knowledge management of reverse logistics is undeveloped, it can be more developed in the field of waste management. This study is based on qualitative content analysis which is appropriate for concept generation. The sample of studies was created as follows. First, citation index databases (Web of Science, SCOPUS) were searched on keywords (knowledge management and waste management). Second, results of this query were refined according to content of abstracts. After that, refined set of articles was analysed by full text qualitative content analysis method. The analysis revealed categories which were compared with research topics of knowledge management and waste management. This study is the first literature review of knowledge management of waste management. It enables further research of the topic by introducing a basic framework of concepts (codes) of knowledge management of waste management. Practitioners can use the results of this study as a general body of knowledge of concepts of knowledge management of waste management. The outcomes of this study have several implications. First, knowledge management research of waste management is significantly undeveloped. Second, this study revealed misinterpretation of some crucial terms regarding knowledge management. Some analysed studies used terms data, information and knowledge interchangeably or did not defined the terms. This fact can lead to misinterpretation of the whole study and creates confusion in the research field. |
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