Volume 5, Issue 12 (December 2018), Pages: 1-6
----------------------------------------------
Technical Note
Title: Development of e-scholar tracking system for measuring the performance of lecturer
Author(s): Syerina Azlin Md Nasir 1, *, Wan Fairos Wan Yaacob 1, Marziana Madah Marzuki 2, Faizal Haini Fadzil 3
Affiliation(s):
1Faculty of Computer and Mathematical Sciences, Universiti Teknologi MARA Kelantan, Bukit Ilmu, Machang, Kelantan, Malaysia
2Faculty of Accounting, Universiti Teknologi MARA Kelantan, Bukit Ilmu, Machang, Kelantan, Malaysia
3Faculty of Information Management, Universiti Teknologi MARA Kelantan, Bukit Ilmu, Machang, Kelantan, Malaysia
https://doi.org/10.21833/ijaas.2018.12.001
Full Text - PDF XML
Abstract:
Measuring the performance of lecturers received little attention compared to the performance of students at higher education level. However, measures of performance are needed to assess whether they meet their set of objectives and foster an environment of continuous improvement. The objective of this paper is to develop a monitoring system for measuring and managing lecturers’ career development. Maintaining the lecturers’ record such as personal, research details, publication works, innovation, and award achievements is an important factor for the management level. This research proposed a scholar tracking system called E-STRAS. This tracking system aims to provide management with regular feedback on lecturer’s progress and performance and early indicators of problems that need to be corrected and improved. This includes reporting on actual performance against what was planned or expected. The system will proactively help improve and enhance the performance of lecturers in line with the strategic and operational objectives of the university.
© 2018 The Authors. Published by IASE.
This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
Keywords: Higher education, Monitoring system, Performance measurement, System development
Article History: Received 5 February 2018, Received in revised form 1 September 2018, Accepted 5 September 2018
Digital Object Identifier:
https://doi.org/10.21833/ijaas.2018.12.001
Citation:
Nasir SAM, Yaacob WFW, abd Marzuki MM et al. (2018). Development of e-scholar tracking system for measuring the performance of lecturer. International Journal of Advanced and Applied Sciences, 5(12): 1-6
Permanent Link:
http://www.science-gate.com/IJAAS/2018/V5I12/Nasir.html
----------------------------------------------
References (12)
- Al-Turki U and Duffuaa S (2003). Performance measures for academic departments. International Journal of Educational Management, 17(7): 330-338. https://doi.org/10.1108/09513540310501012 [Google Scholar]
|
- Chen JF, Hsieh HN, and Do QH (2015). Evaluating teaching performance based on fuzzy AHP and comprehensive evaluation approach. Applied Soft Computing, 28: 100-108. https://doi.org/10.1016/j.asoc.2014.11.050 [Google Scholar]
|
- Franco-Santos M (2016). Designing better performance measurement systems in universities using the business model canvas. In the 5th World Conference on Production and Operations Management (PandOM), Havana, Cuba: 1-10. [Google Scholar]
|
- Fredman N and Doughney J (2012). Academic dissatisfaction, managerial change and neo-liberalism. Higher Education, 64(1): 41-58. https://doi.org/10.1007/s10734-011-9479-y [Google Scholar]
|
- Houston D, Meyer LH, and Paewai S (2006). Academic staff workloads and job satisfaction: Expectations and values in academe. Journal of Higher Education Policy and Management, 28(1): 17-30. https://doi.org/10.1080/13600800500283734 [Google Scholar]
|
- Jenkins A (2005). Guide to the research evidence on teaching–research relations. The Higher Education Academy, Heslington, UK. Available online at: http://www.heacademy.ac.uk/resources.asp?process=full_record§ion=generic&id=383 [Google Scholar]
|
- Kallio KM and Kallio TJ (2014). Management-by-results and performance measurement in universities–implications for work motivation. Studies in Higher Education, 39(4): 574-589. https://doi.org/10.1080/03075079.2012.709497 [Google Scholar]
|
- Kallio KM, Kallio TJ, and Grossi G (2017). Performance measurement in universities: ambiguities in the use of quality versus quantity in performance indicators. Public Money and Management, 37(4): 293-300. https://doi.org/10.1080/09540962.2017.1295735 [Google Scholar]
|
- Kinman G (2016). Effort–reward imbalance and overcommitment in UK academics: Implications for mental health, satisfaction and retention. Journal of Higher Education Policy and Management, 38(5): 504-518. https://doi.org/10.1080/1360080X.2016.1181884 [Google Scholar]
|
- Perkmann M, Neely A, and Walsh K (2011). How should firms evaluate success in university–industry alliances? A performance measurement system. R&D Management, 41(2): 202-216. https://doi.org/10.1111/j.1467-9310.2011.00637.x [Google Scholar]
|
- Shin JC and Jung J (2014). Academics job satisfaction and job stress across countries in the changing academic environments. Higher Education, 67(5): 603-620. https://doi.org/10.1007/s10734-013-9668-y [Google Scholar]
|
- Sohail MS and Daud S (2009). Knowledge sharing in higher education institutions: Perspectives from Malaysia. Vine, 39(2): 125-42. https://doi.org/10.1108/03055720910988841 [Google Scholar]
|
|