Reviewing the concept of CKM with social perspective by means of the ANN-GT approach (case study: environmental protection by the water market implementation). (8th July 2020)

• Record Type: Journal Article
• Authors: Rabbanimehr, Maedeh; Sanayei, Ali; Kazemi, Ali
• Is Part Of: International journal of procurement management. Volume 13:Number 4(2020)
• Page Start: 462
• Page End: 481
• Publication Date: 2020-07-08
• Subjects: customer knowledge management -- CKM -- social marketing -- social facilitation -- water market -- artificial neural network -- ANN -- GT; Industrial procurement -- Management -- Periodicals; Industrial procurement -- Electronic information resources -- Periodicals; Business logistics -- Periodicals; 658.7205
• Languages: English
• ISSNs: 1753-8432

Abstract

The purpose of this research is to develop a customer knowledge management model adopting a social marketing approach for solving social problems by a case study for the facilitation of water market implementation. In this regard, mixed research and qualitative approaches consisting of thematic analysis and grounded theory, together with a quantitative approach (artificial neural network) have been used, and ultimately, a combination model has been proposed. The statistical population incorporates three groups of experts (academics, farmers and water industry experts) in the qualitative section of the research, and in the quantitative section, it includes farmers throughout the Zayandehrood Basin in Iran. One of the most important results of this research is the ranking of customer knowledge management indicators taking a neural network approach in predicting the social facilitation and planning, based on which it attracts popular participation in social issues.