حبيب خدائي قره كند

The rapid growth of technology in recent years has brought about extensive changes in workplaces an‎d in human resource management practices. One of the emerging technologies playing a significant role in these transformations is the Internet of Things (IoT). By enabling communication among sensors, devices, an‎d intelligent systems, this technology allows for real-time monitoring an‎d control of workplace conditions an‎d employee behavior, potentially influencing human productivity. The purpose of this study is to examine an‎d analyze the impact of the Internet of Things on human resource productivity in smart office buildings. In this research, indicators such as temperature, humidity, light intensity, noise level, information quality, communication quality, an‎d the effectiveness of employee training were considered as the main factors. The required data were collected through sensors installed in real environments an‎d supplementary questionnaires. Data analysis was conducted using statistical methods an‎d machine learning models to identify the relationship between technological indicators an‎d employee performance. The results showed that information quality an‎d employee training have a positive an‎d significant impact on overall employee productivity, whereas communication quality an‎d some environmental factors did not demonstrate a significant effect. Moreover, properly tuned linear regression models achieved higher accuracy in predicting productivity levels. Overall, the findings indicate that implementing IoT technology in office buildings can enhance efficiency an‎d employee satisfaction by improving information quality, training, an‎d intelligent workplace monitoring. These results can serve as a guide for organizational managers in designing modern work environments an‎d improving data-driven decision-making processes.

اينترنت اشيا , بهره‌وري منابع انساني , ساختمان هوشمند , آموزش كاركنان , كيفيت اطلاعات

Internet of Things (IoT) , human resource productivity , smart building , employee training , information quality

Habib Khodaei

Dr. Noori