BibTex RIS Kaynak Göster
Yıl 2013, Cilt: 3 Sayı: 4, 41 - 47, 23.07.2016

Öz

Kaynakça

  • 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

Yıl 2013, Cilt: 3 Sayı: 4, 41 - 47, 23.07.2016

Öz

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

Kaynakça

  • 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.
Toplam 12 adet kaynakça vardır.

Ayrıntılar

Diğer ID JA56HT89VJ
Bölüm Makaleler
Yazarlar

Tuba Canvar Kahveci Bu kişi benim

Harun Taşkın Bu kişi benim

Merve Cengiz Toklu Bu kişi benim

Yayımlanma Tarihi 23 Temmuz 2016
Yayımlandığı Sayı Yıl 2013 Cilt: 3 Sayı: 4

Kaynak Göster

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. Temmuz 2016;3(4):41-47.
Chicago Kahveci, Tuba Canvar, Harun Taşkın, ve Merve Cengiz Toklu. “Conceptual Modeling of Performance Indicators of Higher Education Institutions”. TOJSAT 3, sy. 4 (Temmuz 2016): 41-47.
EndNote Kahveci TC, Taşkın H, Toklu MC (01 Temmuz 2016) Conceptual Modeling of Performance Indicators of Higher Education Institutions. TOJSAT 3 4 41–47.
IEEE T. C. Kahveci, H. Taşkın, ve M. C. Toklu, “Conceptual Modeling of Performance Indicators of Higher Education Institutions”, TOJSAT, c. 3, sy. 4, ss. 41–47, 2016.
ISNAD Kahveci, Tuba Canvar vd. “Conceptual Modeling of Performance Indicators of Higher Education Institutions”. TOJSAT 3/4 (Temmuz 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 vd. “Conceptual Modeling of Performance Indicators of Higher Education Institutions”. TOJSAT, c. 3, sy. 4, 2016, ss. 41-47.
Vancouver Kahveci TC, Taşkın H, Toklu MC. Conceptual Modeling of Performance Indicators of Higher Education Institutions. TOJSAT. 2016;3(4):41-7.