International Journal of Research Studies in Management
CollabWritive Special Issue
2024 Volume 12 Issue 15
Available Online: 8 November 2024
Author/s:
Zhao, Mingyu
Graduate School, Lyceum of the Philippines University – Batangas, Philippines (1192535355@qq.com)
Abstract:
Digital technology gradual maturity and widespread recognition of its application value has been widely applied in fields such as industrial development, public governance, and livelihood services, greatly changing people’s lifestyles, triggering profound changes in multiple industries, and promoting the development of multiple industries and various aspects of society. The study aimed to analyze the relationships among big data management, digital maintenance services and data analytics as basis for developing data management efficiency framework. The paper utilized a descriptive method of research and self-made questionnaire as a data collection tool, with 406 employees from the Chinese manufacturing Industry participants. Non-parametric testing using Spearman’s rho correlation coefficient is employed to test significant relationships. All analyses were conducted using SPSS version 28. The study revealed the respondents agreed that Big Data Management practices of wind farms with big data assisted decision making and maintenance management was commonly observed. Team member communication was highlighted by the respondents as they generally agreed on the assessment of digital maintenance services. Data analytics on intelligent operation was agreed by the respondents and noted the maintenance of data equipment with strong agreement. Big data assisted decision making was found to have high significance on team member communication and task evaluation and significant relationship with team member cooperation. Big Data Operation has high significant relationship with team member cooperation and task evaluation and Maintenance management has high significant relationship with team member communication. It was found that Big data assisted decision making and maintenance management to have high significant relationship with data analytics on intelligent operation. meanwhile, maintenance data equipment, and big data operation and maintenance decision has significant relationship with team member communication and task evaluation respectively. A Data Management Efficiency Framework was developed for wind power industry.
Keywords: data management, digital maintenance services, data analytics, intelligent operations, wind farms
DOI: https://doi.org/10.5861/ijrsm.2024.1308
Cite this article:
Zhao, M. (2024). Big data management, digital maintenance services and data analytics on intelligent operation: Basis for data management efficiency framework. International Journal of Research Studies in Management, 12(15), 125-137. https://doi.org/10.5861/ijrsm.2024.1308