Effects of Social Support on Faculty Workload and Performance
- Rosman Yusoff
- Anwar Khan
- Mazen Rasheed
- Alamzeb Aamir
Abstract
The current study has examined the interaction between social support and workload for predicting the work related performance of academic staff in Pakistan. A self administered questionnaire was distributed among a sample of 400 academic staff working in the six universities of Pakistan. Data was analyzed through multivariate statistics like Factor Analysis and Multiple Regression Analysis. The results of current study showed that workload was negatively related with the work performance, where social support significantly moderated the negative relationship between workload and performance. The findings of this study have provided new insights on interaction between workload, social support and performance in academia of Pakistan through empirically testing the JD-R theory. This study recommends the proper utilization of personal resources at individual and organizational levels for managing workload and performance related problems in academia of Pakistan.
- Full Text: PDF
- DOI:10.5539/res.v6n2p95
Journal Metrics
- Google-based Impact Factor (2021): 0.85
- h-index (December 2021): 35
- i10-index (December 2021): 262
- h5-index (December 2021): 18
- h5-median(December 2021): 24
( The data was calculated based on Google Scholar Citations. Click Here to Learn More. )
Index
- Academic Journals Database
- ACNP
- CNKI Scholar
- COPAC
- DTU Library
- Elektronische Zeitschriftenbibliothek (EZB)
- EuroPub Database
- Excellence in Research for Australia (ERA)
- Genamics JournalSeek
- Google Scholar
- Harvard Library
- HeinOnline
- IBZ Online
- Infotrieve
- JournalTOCs
- LOCKSS
- MIAR
- Mir@bel
- PKP Open Archives Harvester
- Publons
- RePEc
- ResearchGate
- ROAD
- Scilit
- SHERPA/RoMEO
- Standard Periodical Directory
- Technische Informationsbibliothek (TIB)
- The Keepers Registry
- UCR Library
- Universe Digital Library
- WorldCat
- Zeitschriften Daten Bank (ZDB)
Contact
- Paige DouEditorial Assistant
- res@ccsenet.org