Thesis:

Relationship Generative artifical intelegence and employee wellbeing

The present study aimed to investigate the relationship between the adoption of generative artificial intelligence and dimensions of employee well-being, with an emphasis on the mediating role of team cohesion, in industrial companies in Sabzevar. Given the increasing spread of generative artificial intelligence-based technologies in business environments and the importance of human resources as the most valuable organizational capital, investigating this issue is of interest from a scientific and practical perspective. This study attempts to answer the main question of how the adoption of generative artificial intelligence affects various dimensions of employee well-being and what role team cohesion plays in this relationship. In terms of purpose, this study is of an applied type and is considered a descriptive correlational (survey) study in terms of nature and method. The statistical population of the study includes employees of industrial companies located in Sabzevar. Due to the dispersion of the statistical population and the difficulty of accessing all members, the convenience sampling method (non-probability) was used and a sample size of 80 people was selected. Standard questionnaires related to the constructs of attitude towards generative artificial intelligence, its use, social well-being, emotional well-being, cognitive well-being, and team cohesion were used to collect data. The validity of the questionnaires was confirmed through content and construct validity and their reliability was confirmed through Cronbach's alpha coefficient. The collected data was also analyzed using the structural equation modeling (SEM) approach and with the help of SmartPLS software. The present study tested nine main hypotheses in the form of its conceptual model. The findings from the data analysis showed that all nine hypotheses were confirmed. Based on these findings, a positive attitude towards generative artificial intelligence has a positive and significant effect on the extent of employees' use of it (H1a), while a negative attitude towards this technology has a negative and significant effect on the extent of its use (H1). In other words, the way employees perceive and approach it plays a determining role in the acceptance and application of this technology. The results also showed that employees' use of generative artificial intelligence has a positive and significant effect on all three dimensions of their well-being; in a way that this effect was confirmed for social well-being (H2a), emotional well-being (H2b), and cognitive well-being (H2c). In addition, the use of generative AI has a positive and significant effect on team cohesion (H3a). In the next step, the mediating role of team cohesion was also examined, and the findings indicated that team cohesion significantly mediates the relationship between the use of generative AI and each of the dimensions of well-being, namely social well-being (H3b1), emotional well-being (H3b2), and cognitive well-being (H3b3). In general, it can be concluded that the adoption and application of generative AI in industrial companies, while strengthening communication and cohesion among team members, provides the basis for improving the multidimensional well-being of employees; in such a way that part of the positive effects of this technology on employee well-being are transmitted through team cohesion. Accordingly, it is suggested that managers of industrial organizations prepare the ground for the effective use of this technology by creating a culture to form a positive attitude towards generative AI, holding training courses, and providing the necessary technical infrastructure. Also, attention to strengthening the spirit of cooperation and team cohesion can activate the mediating role of this variable in further promoting employee well-being. Future research can also enrich the findings in this area by generalizing the subject to other industries and service sectors, using random sampling methods and larger samples, and examining other moderating variables such as organizational culture and management support.

Keywords: positive effects of this technology on employee well-being are transmitted