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Year 2013, Volume: 3 Issue: 4, 41 - 47, 23.07.2016

Abstract

References

  • Ahmadi S.A.A. (2012). Performance evaluation of Tehran province payame noor university staffs (open university) by AHP technique, Interdisciplinary Journal of Contemporary Research in Business, 4, 226-235.
  • Azma F. (2010). Qualitative indicators for the evaluation of universities performance, Procedia Social and Behavioral Sciences, 2, 5408-5411, Elsevier.
  • Centra J.A. (1997). How universities evaluate faculty performance: a survey of department heads, GRE Board Research Report, Graduate Record Examinations Board.
  • Hronec S.M. (1993). Vital Signs: using quality, time and cost performance measurements to chart your company’s future, Arthur Andersen &Co., American Management Association.
  • Martin E. (2003). An application of data envelopment analysis methodology in the performance assessment of the Zaragoza University departments,Documento de Trabajo 2003-06. Facultad de Ciencias Economicas y Empresariales, University de Zaragoza.
  • Kanji G.K.(2007). Performance Measurement: A System Approach for Excellence, 51st European Organization for Quality, 22-23 May, Prague.
  • Kiakojoori D., Aghajani H., Roudgarnezhad F., Alipour H.& Kojoori K.K. (2011). Performance Appraisal of Islamic Azad University Branches of Mazandaran Provinceusing data envelopment analysis, Australian Journal of Basic and Applied Sciences, 5, 840-848.
  • Lee S.H. (2010). Using fuzzy AHP to develop intellectual capital evaluation model for assessing their performance contribution in a university, Expert Systems with Applications, 37, 4941-4947, Elsevier.
  • Rolstadas A. (1995). Performance Management: A business process benchmarking approach, Chapman&Hall, London.
  • Tavenas F.(2003). Quality Assurance: A Reference System for Indicators and Evaluation Procedures, Report published by European University Association, Brussels Belgium.
  • Tehhumen J., Ukko J., Markus T.& Rantanen H. (2002). Designing a performance measurement system: a case study in the telecom business, Frontiers of e-business research.
  • Wu H.Y., Lin Y.K.& Chang C.H. (2011), Performance evaluation of extension education centers in universities based on the balanced scorecard, Evaluation and Program Planning, 34, 37-50, Elsevier.

Conceptual Modeling of Performance Indicators of Higher Education Institutions

Year 2013, Volume: 3 Issue: 4, 41 - 47, 23.07.2016

Abstract

Measuring and analyzing any type of organization are carried out by different actors in the organization. The performance indicators of performance management system increase according to products or services of the organization. Also these indicators should be defined for all levels of the organization. Finally, all of these characteristics make the performance evaluation process more complex for organizations. In order to manage this complexity, the process should be modeled at the beginning. The aim of this study is providing the conceptual performance model for higher education institutions to manage this complexity easily and evaluate the higher education institutions from all aspects. The proposed model is also exemplified by using Sakarya University case study

References

  • Ahmadi S.A.A. (2012). Performance evaluation of Tehran province payame noor university staffs (open university) by AHP technique, Interdisciplinary Journal of Contemporary Research in Business, 4, 226-235.
  • Azma F. (2010). Qualitative indicators for the evaluation of universities performance, Procedia Social and Behavioral Sciences, 2, 5408-5411, Elsevier.
  • Centra J.A. (1997). How universities evaluate faculty performance: a survey of department heads, GRE Board Research Report, Graduate Record Examinations Board.
  • Hronec S.M. (1993). Vital Signs: using quality, time and cost performance measurements to chart your company’s future, Arthur Andersen &Co., American Management Association.
  • Martin E. (2003). An application of data envelopment analysis methodology in the performance assessment of the Zaragoza University departments,Documento de Trabajo 2003-06. Facultad de Ciencias Economicas y Empresariales, University de Zaragoza.
  • Kanji G.K.(2007). Performance Measurement: A System Approach for Excellence, 51st European Organization for Quality, 22-23 May, Prague.
  • Kiakojoori D., Aghajani H., Roudgarnezhad F., Alipour H.& Kojoori K.K. (2011). Performance Appraisal of Islamic Azad University Branches of Mazandaran Provinceusing data envelopment analysis, Australian Journal of Basic and Applied Sciences, 5, 840-848.
  • Lee S.H. (2010). Using fuzzy AHP to develop intellectual capital evaluation model for assessing their performance contribution in a university, Expert Systems with Applications, 37, 4941-4947, Elsevier.
  • Rolstadas A. (1995). Performance Management: A business process benchmarking approach, Chapman&Hall, London.
  • Tavenas F.(2003). Quality Assurance: A Reference System for Indicators and Evaluation Procedures, Report published by European University Association, Brussels Belgium.
  • Tehhumen J., Ukko J., Markus T.& Rantanen H. (2002). Designing a performance measurement system: a case study in the telecom business, Frontiers of e-business research.
  • Wu H.Y., Lin Y.K.& Chang C.H. (2011), Performance evaluation of extension education centers in universities based on the balanced scorecard, Evaluation and Program Planning, 34, 37-50, Elsevier.
There are 12 citations in total.

Details

Other ID JA56HT89VJ
Journal Section Articles
Authors

Tuba Canvar Kahveci This is me

Harun Taşkın This is me

Merve Cengiz Toklu This is me

Publication Date July 23, 2016
Published in Issue Year 2013 Volume: 3 Issue: 4

Cite

APA Kahveci, T. C., Taşkın, H., & Toklu, M. C. (2016). Conceptual Modeling of Performance Indicators of Higher Education Institutions. TOJSAT, 3(4), 41-47.
AMA Kahveci TC, Taşkın H, Toklu MC. Conceptual Modeling of Performance Indicators of Higher Education Institutions. TOJSAT. July 2016;3(4):41-47.
Chicago Kahveci, Tuba Canvar, Harun Taşkın, and Merve Cengiz Toklu. “Conceptual Modeling of Performance Indicators of Higher Education Institutions”. TOJSAT 3, no. 4 (July 2016): 41-47.
EndNote Kahveci TC, Taşkın H, Toklu MC (July 1, 2016) Conceptual Modeling of Performance Indicators of Higher Education Institutions. TOJSAT 3 4 41–47.
IEEE T. C. Kahveci, H. Taşkın, and M. C. Toklu, “Conceptual Modeling of Performance Indicators of Higher Education Institutions”, TOJSAT, vol. 3, no. 4, pp. 41–47, 2016.
ISNAD Kahveci, Tuba Canvar et al. “Conceptual Modeling of Performance Indicators of Higher Education Institutions”. TOJSAT 3/4 (July 2016), 41-47.
JAMA Kahveci TC, Taşkın H, Toklu MC. Conceptual Modeling of Performance Indicators of Higher Education Institutions. TOJSAT. 2016;3:41–47.
MLA Kahveci, Tuba Canvar et al. “Conceptual Modeling of Performance Indicators of Higher Education Institutions”. TOJSAT, vol. 3, no. 4, 2016, pp. 41-47.
Vancouver Kahveci TC, Taşkın H, Toklu MC. Conceptual Modeling of Performance Indicators of Higher Education Institutions. TOJSAT. 2016;3(4):41-7.