Abstract
In the rapidly evolving landscape of higher education, the role of organizational culture and administrative effectiveness has garnered significant attention. This study aims to investigate the moderating effect of big data analytics capabilities on the relationship between organizational culture and administrative effectiveness in higher education institutions in Sichuan, China. The study will employ a mixed-methods approach, combining quantitative analysis through surveys and qualitative insights through interviews. The sample will consist of faculty members, administrative staff, and management personnel from various higher education institutions across Sichuan province. The theoretical framework will draw upon literature on organizational culture, administrative effectiveness, and big data analytics capabilities. Organizational culture dimensions such as innovation, adaptability, collaboration, and leadership will be evaluated using established scales. Administrative effectiveness will be assessed based on factors such as efficiency, responsiveness, transparency, and stakeholder satisfaction. The research will explore how the organizational culture of higher education institutions in Sichuan influences administrative effectiveness. Additionally, it will investigate the role of big data analytics capabilities in moderating this relationship. Specifically, it will examine how institutions with varying levels of big data analytics capabilities leverage data-driven insights to enhance administrative practices and overall effectiveness. Findings from this study are expected to provide valuable insights for higher education institutions in Sichuan, enabling them to cultivate a conducive organizational culture and leverage big data analytics capabilities to improve administrative effectiveness. The results will also contribute to the broader literature on organizational culture, administrative effectiveness, and the role of technology in shaping organizational outcomes.
Publisher
Fayrel Management Services
Reference28 articles.
1. Chen, H., & Huang, Z. (2019). Big Data Analytics: A Survey. Mobile Networks and Applications, 24(2), 353–365. https://doi.org/10.1007/s11036-018-1197-3
2. Gandomi, A., & Haider, M. (2015). Beyond the Hype: Big Data Concepts, Methods, and Analytics. International Journal of Information Management, 35(2), 137–144. https://doi.org/10.1016/j.ijinfomgt.2014.10.007
3. Manyika, J., Chui, M., Brown, B., Bughin, J., Dobbs, R., Roxburgh, C., & Byers, A. H. (2011). Big data: The next frontier for innovation, competition, and productivity. McKinsey Global Institute.
4. Davenport, T. H., & Dyche, J. (2013). Big Data in Big Companies. International Institute for Analytics.
5. Barney, J. B. (1991). Firm resources and sustained competitive advantage. Journal of Management, 17(1), 99–120.