Title: Investigating the impact of organisational cohesion on employees' productivity of Mashhad bus organisation, using the adaptive neuro fuzzy inference system
Authors: Zahra Nikkhah-Farkhani; Alireza Khorakian; Shokoofe Loqmani-Devin; Mina Boustani-Rad
Addresses: Department of Business Management, Faculty of Humanities, University of Bojnord, Bojnurd, Iran ' Faculty of Economic and Administrative Sciences, Ferdowsi University of Mashhad, Mashhad, Iran; Nipissing University, North Bay, Ontario, Canada; University of Stirling, Stirling FK9 4LA, UK ' Department of Management, Faculty of Economic and Administrative Sciences, Ferdowsi University of Mashhad, Mashhad, Iran ' Faculty of Management, College of Farabi, University of Tehran, Tehran, Iran
Abstract: Achieving the high levels of productivity is one of the most important ideals of managers. Organisational cohesion as an emerging concept that has many managerial requirements, and is expected to contribute to improving employees' productivity. This study used fuzzy neural networks (ANFIS) to measure this relationship, which has more predictive power than other statistical methods due to its networking architecture and learning algorithms. The statistical population was all employees of Mashhad Bus Organization (58 people). A questionnaire was used for data collection and the results were analysed using the ANFIS. The results indicated that although all aspects of organisational cohesion had an effect on improving employees' productivity and by improving them, employees' productivity would be increased, the components of fundamental values, leadership's style and coordination, would facilitate the impact of other components on productivity. It seems that they should be the prioritised on the top of the list in the organisation's administrative transformation programs.
Keywords: organisational cohesion; employees' productivity; fuzzy neuro network; adaptive neuro fuzzy inference system; ANFIS.
International Journal of Productivity and Quality Management, 2022 Vol.35 No.2, pp.262 - 280
Received: 23 Jul 2020
Accepted: 23 Sep 2020
Published online: 28 Feb 2022 *