Search Results for behavioral-intention

Abstract

The research aimed to diagnose the factors influencing managers' intentions to adopt remote work practices and their impact on employees' psychological well-being at the Technological University. A descriptive methodology and linear regression analysis were used on a sample of 50 participants, including department heads, sections, and their assistants. Their opinions were surveyed through a questionnaire prepared for this purpose. The results showed that the managers at the Technological University demonstrated a clear willingness to adopt remote work practices. The research revealed that behavioral intention and social norms were the most influential factors in shaping managers' intentions to adopt remote work. The former reflects their positive conviction about the benefits of these practices, while the latter is related to the influence of employee expectations. Perceived behavioral control, which conveys the managers' confidence in employees' capabilities, was a supportive but less influential factor. The overall factors showed the highest impact, confirming their integrative interaction. Regarding the impact of these factors on employees' psychological well-being, the results indicated that general mental health was significantly affected by behavioral intention, as positive conviction enhances mental resilience. Job satisfaction was influenced by perceived behavioral control, as confidence in performance boosts feelings of appreciation. Social support was clearly affected by social norms through informal support networks among colleagues. Work-life balance was influenced by all the factors. Overall, employees' psychological well-being was strongly impacted by the total factors affecting managers' intentions, demonstrating that the overall intentions of managers are the strongest driver of employees' psychological well-being.

Abstract

This research explores the impact of various factors on managers' intention to use artificial intelligence (AI) technologies in human resource management practices, through a survey conducted with a sample of 80 individuals from 6 private colleges. The descriptive analytical method was utilized in the study, examining several key dimensions representing the independent variable, including (administrative dimension, cultural dimension, economic dimension, legal and ethical dimension, social dimension, and psychological dimension).

The results indicate that these factors significantly affect managers' intention to use AI, which in turn reflects on human resource management practices, including (recruitment and selection, training and development, performance evaluation, compensation and benefits management, and labor relations management). The study concluded that addressing the mentioned factors enhances the effective use of AI, contributing to the improvement of the effectiveness and efficiency of human resource management practices.

Therefore, the research recommends that institutions develop comprehensive strategies to enhance awareness and understanding among managers and employees regarding the benefits of AI, along with establishing clear policies to ensure legal and ethical compliance and fostering a culture of innovation and change.