Investigating the impact of organisational cohesion on employees' productivity of Mashhad bus organisation, using the adaptive neuro fuzzy inference system
Zahra Nikkhah-Farkhani,
Alireza Khorakian,
Shokoofe Loqmani-Devin and
Mina Boustani-Rad
International Journal of Productivity and Quality Management, 2022, vol. 35, issue 2, 262-280
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. (search for similar items in EconPapers)
Date: 2022
References: Add references at CitEc
Citations:
Downloads: (external link)
http://www.inderscience.com/link.php?id=121309 (text/html)
Access to full text is restricted to subscribers.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:ids:ijpqma:v:35:y:2022:i:2:p:262-280
Access Statistics for this article
More articles in International Journal of Productivity and Quality Management from Inderscience Enterprises Ltd
Bibliographic data for series maintained by Sarah Parker ().