Open Access
Investigating Determinants Of University Staff Productivity: An Exploratory Factor Analysis
4
Department of Educational Management, University of Lagos, Nigeria
4
Faculty of Economics and Management, University of Rome Tor Vergata, Italy
Abstract
University staff productivity is a multifaceted concept crucial for institutional success and educational advancement. This article proposes a conceptual model to identify and assess key factors influencing the productivity of university staff, employing an Exploratory Factor Analysis (EFA) approach. The study acknowledges the evolving landscape of higher education, emphasizing the shift from a teaching-centric to a learning-centric paradigm [1]. Understanding the underlying dimensions of productivity can inform targeted interventions and policy development to enhance staff performance. This research utilizes established methodologies for survey instrument development and data analysis, providing a robust framework for future empirical investigations.
How to Cite
Amina Yusuf Bello, & Prof. Luca Moretti. (2024). Investigating Determinants Of University Staff Productivity: An Exploratory Factor Analysis. Frontiers in Strategic Management, 1(1), 8–12. Retrieved from https://irjernet.com/index.php/fsm/article/view/30
References
Barr RB, Tagg J. From teaching to learning: A new paradigm for undergraduate education. Change: The Magazine of Higher Learning. 1995;27(6):13-25.
Taherdoost H, Madanchian M. Empirical modeling of customer satisfaction for e-services in cross-border e-commerce. Electronics. 2021 Jan;10(13):1547.
Taherdoost H. Exploratory factor analysis: Concepts and theory. Advances in Applied and Pure Mathematics. 2014:375-382.
Taherdoost H. Evaluation of customer satisfaction in the digital environment: Development of a survey instrument. In: Digital Transformation and Innovative Services for Business and Learning. IGI Global; 2020:195-222.
Taherdoost H. Handbook on Research Skills: The Essential Step-By-Step Guide on How to Do a Research Project. Amazon Kindle; 2021.
Taherdoost H. Determining sample size: How to calculate survey sample size. International Journal of Economics and Management Systems. 2017;2:237-239.
Taherdoost H. Sampling methods in research methodology: How to choose a sampling technique for research. International Journal of Academic Research in Management. 2016;5(2):18-27.
Weiss D. The relationship between faculty group development and faculty productivity in higher education. Temple University; 1998.
Doellefeld S. Faculty productivity: A conceptual analysis and research synthesis. State University of New York, NY, USA; 1998.
Morris I, RM. Effective organizational culture is key to a company’s long-term success. Industrial Management. 1992;34(2):28.
Chang LC, Liu CH. Employee empowerment, innovative behavior and job productivity of public health nurses: A cross-sectional questionnaire survey. International Journal of Nursing Studies. 2008 Oct;45(10):1442-8.
Scott P. Higher Education Reformed. London: Falmer Press; 2000.
Loke C. Leadership behaviors: Effect on job satisfaction, productivity, and organizational commitment. Journal of Nursing Management. 2001;9(4):191-204.
Sulo T, Kendagor R, Kosgei D, Tuitoek D, Chelangat S. Factors affecting research productivity in public universities of Kenya: The case of Moi University, Eldoret. Journal of Emerging Trends in Economics and Management Sciences. 2012 Oct;3(5):475-84.
Taherdoost H. How to design and create an effective survey/questionnaire: A step-by-step guide. International Journal of Academic Research in Management (IJARM). 2016 Aug;5(4):37-41.
George D, Mallery P. SPSS for Windows Step by Step: A Simple Guide and Reference. 4th ed. Boston: Allyn & Bacon; 2003.
Hair JF. Multivariate Data Analysis. 5th ed. Englewood Cliffs, NJ: Prentice Hall; 1998.
Nunnally J. Psychometric Theory. 2nd ed. New York, NY: McGraw-Hill; 1978.
Whitley BE. Principles of Research and Behavioural Science. Boston: McGraw-Hill; 2002.
Robinson J. Triandis theory of interpersonal behaviour in understanding software privacy behaviour in the South African context. In: School of Human & Community Development, University of the Witwatersrand: Johannesburg; 2009:108.
Leech N, Barrett K, Morgan GA. SPSS for Intermediate Statistics: Use and Interpretation. 2nd ed. London: Lawrence Erlbaum Associates; 2005.
Taherdoost H. Validity and reliability of the research instrument: How to test the validation of a questionnaire/survey in a research. International Journal of Academic Research in Management. 2016;5(3):28-36.
Netemeyer RG, Bearden WO, Sharma S. Scaling Procedures: Issues and Applications. Sage Publications; 2003 Mar 12.
Kaiser HF. The application of electronic computers to factor analysis. Educational and Psychological Measurement. 1960 Apr;20(1):141-51.
Fabrigar LR, Wegener DT, MacCallum RC, Strahan EJ. Evaluating the use of exploratory factor analysis in psychological research. Psychological Methods. 1999 Sep;4(3):272.
Gorsuch R. Factor Analysis. Hillsdale, NJ: Erlbaum; 1983.
Taherdoost H. Electronic service quality measurement: Development of a survey instrument to measure the quality of e-service. International Journal of Intelligent Engineering Informatics. 2019;7(6):491-528.