The Impact of Big Data and IoT Adoption on Operational Performance: Exploring the Moderating Role of Transformative Leadership in Manufacturing
摘要
There has been growing interest in adopting, and integrating Big Data technologies and the Internet of Things (IoT) within manufacturing organizations to boost their operational performance. This research seeks to determine the effects of harmonized application of these technologies with an emphasis on cost containment, product quality, organizational productivity. And the moderating effect of transformative leadership on the use and impact of the displayed digital technologies. A quantitative approach was adopted and structured questionnaires were administered to one hundred and fifty managers and senior leaders and one hundred technical staff from manufacturing organizations. The analysis of data was performed using SPSS where reliability tests, correlation, and regression were run on it. The analysis showed that Big Data, as well as IoT usage, are both strongly positively related to operational performance. On the other hand, whilst transformative leadership was seen to be critically important in facilitating the right organizational culture and environment, it did not demonstrate a significant level of direct relationship as a moderating variable in this particular regard. This research bridges the gap found in the literature regarding the relationship between technologies and leadership in manufacturing companies. The recommendations for practical application cover the significance of using Big Data and IoT systems for predictive maintenance, inventory control, and further increasing efficiency at the enterprise.