From Data Sciences to Decisions: How Analytics, Sensing, Process Integration, Human Resource Flexibility, and Technology Orientation Lift Manufacturing Operations Under a Data-Driven Shop-Floor Culture
Abstract
Decision making process of the companies improved through analytical capability, sensing capability, process integration, human resource flexibility, and technology orientation which leads to enhanced operational performance. Therefore, research aimed to test the influence of analytical capability, sensing capability, process integration, human resource flexibility, and technology orientation on operational performance with the moderating influence of data-driven culture. Cross-sectional quantitative data were employed from 315 transportation and engineering employees. The depicted results show that analytical capability, sensing capability, process integration, human resource flexibility, and technology orientation each have a significant and positive impact on the operational performance. Moreover, the data-driven culture moderates positively to promote the transportation and engineering company’s operational performance. Study results emphasize the significance of cultivating a decision-making making data-driven culture in manufacturing settings to transform sensor data into actionable decisions, enhance operational excellence, and improve responsiveness to dynamic market conditions. The results contribute theoretically by extending the dynamic capability theory and practically by guiding managers to raise a strong data-driven environment that leverages analytics, sensing, and technology for superior operational performance that could support to better operational decisions.