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Artificial intelligence (AI) is a rapidly developing technological development that helps individuals in many areas. However, this progress is met with different reactions from individuals. The paper aims to investigate the associations among the concepts of spiritual intelligence, intolerance of uncertainty and AI anxiety. Furthermore, mediating role of intolerance of uncertainty on the relationship between spiritual intelligence and AI anxiety is another aim to examine in this study. In order to measure the mentioned variables, data was collected from 382 white-collar employees using survey method. We conducted explanatory and confirmatory factor analyses to control validity, and Crombach Alpha values to control reliability of the scales. Findings represented that each scale was valid and reliable. After that measurement model and structural equation modelling was conducted for model testing. The results represented the significant relationship between spiritual intelligence and intolerance of uncertainty, between uncertainty tolerance and AI anxiety (also its dimensions). In addition, findings showed that intolerance of uncertainty fully mediates the relationship between spiritual intelligence and learning of AI anxiety, also between job replacement of AI anxiety. Furthermore, results presented that intolerance of uncertainty partially mediates the relationship between spiritual intelligence and sociotechnical blindness and configuration of AI anxiety.

This study investigates the influence of Industry 4.0 technology on work engagement through the lens of the Job Demands-Resources (JD-R) theory, aiming to mitigate technostress. The primary objective is to explore how advanced technology affects work engagement and to develop a model that addresses potential negative impacts such as technostress and techno-addiction. Utilizing a sample of 339 employees from rated hotels in South Africa, data were collected through physical and online questionnaires. The study employed Partial Least Squares Structural Equation Modeling (PLS-SEM) to analyze the relationships between technology use and work engagement. Results indicate a significant positive effect of technology on work engagement (path coefficient=0.356, t=8.140 p<0.01), suggesting that Industry 4.0 technologies enhance employee vigor, dedication, and absorption by providing greater work flexibility and autonomy. These findings challenges existing literature, which often highlights the negative consequences of technology on work engagement. The study contributes to the understanding of how to harness Industry 4.0 technology to improve employee well-being and offers practical recommendations for effectively integrating such technologies in organizations.

This study investigates the influence of Industry 4.0 technology on work engagement through the lens of the Job Demands-Resources (JD-R) theory, aiming to mitigate technostress. The primary objective is to explore how advanced technology affects work engagement and to develop a model that addresses potential negative impacts such as technostress and techno-addiction. Utilizing a sample of 339 employees from rated hotels in South Africa, data were collected through physical and online questionnaires. The study employed Partial Least Squares Structural Equation Modeling (PLS-SEM) to analyze the relationships between technology use and work engagement. Results indicate a significant positive effect of technology on work engagement (path coefficient=0.356, t=8.140 p<0.01), suggesting that Industry 4.0 technologies enhance employee vigor, dedication, and absorption by providing greater work flexibility and autonomy. These findings challenges existing literature, which often highlights the negative consequences of technology on work engagement. The study contributes to the understanding of how to harness Industry 4.0 technology to improve employee well-being and offers practical recommendations for effectively integrating such technologies in organizations.

Artificial intelligence (AI) is a rapidly developing technological development that helps individuals in many areas. However, this progress is met with different reactions from individuals. The paper aims to investigate the associations among the concepts of spiritual intelligence, intolerance of uncertainty and AI anxiety. Furthermore, mediating role of intolerance of uncertainty on the relationship between spiritual intelligence and AI anxiety is another aim to examine in this study. In order to measure the mentioned variables, data was collected from 382 white-collar employees using survey method. We conducted explanatory and confirmatory factor analyses to control validity, and Crombach Alpha values to control reliability of the scales. Findings represented that each scale was valid and reliable. After that measurement model and structural equation modelling was conducted for model testing. The results represented the significant relationship between spiritual intelligence and intolerance of uncertainty, between uncertainty tolerance and AI anxiety (also its dimensions). In addition, findings showed that intolerance of uncertainty fully mediates the relationship between spiritual intelligence and learning of AI anxiety, also between job replacement of AI anxiety. Furthermore, results presented that intolerance of uncertainty partially mediates the relationship between spiritual intelligence and sociotechnical blindness and configuration of AI anxiety.