This study focuses on evaluating the performance of 15 academic departments of a Government Post Graduate College (GPGC), Gopeshwar, Chamoli, Uttarakhand (India) for the year 2011–2012 using data envelopment analysis (DEA) technique. Further, sensitivity analysis has also done in order to interpret the results more accurately. The study has been done to measure the overall performance and teaching performance using sensitivity analysis.
CharnesA.CooperW.W.LewinA.Y. and SeifordL.M., Data envelopment analysis theory, methodology, and applications, Kulwer Acadmic Publishers Massachusetts USA, 1994.
2.
AristovnikA., Relative efficiency of education expenditures in eastern Europe: A non-parametric approach, Journal of Knowledge Management, Economics and Information Technology, Slovenia3(3) (2013), 1–13.
3.
YousfatA.B.oukmicheL. and YahiaouiN., Measurement of the relative efficiency in the Algerian University: Evidence for Adrar University based on DEA method, European Journal of Business, Economics and Accountancy3(5) (2015), 78–91.
4.
BessentA.M.BessentE.W.CharnesA.CooperW.W. and ThorogoodN.C., Evaluation of educational program Proposals by means of DEA, Educational Administration Quarterly19(2) (1983), 82–107.
5.
WorthingtonA.C. and LeeB.L., Efficiency technology and productivity change in Australian university 1998–2003, Economics of Education Review, Elsevier Ltd27(3) (2008), 285–298.
6.
CharnesA.CooperW.W. and RhodesE.L., Measuring the efficiency of decision making units, European Journal of Operation Research, Elsevier BV2 (1978), 429–444.
7.
AlshayeaA. and BattalA.H., Evaluating the efficiency of faculties in Qassim University using data envelopment analysis, Data Envelopment Analysis and Performance Measurement: Proceeding of the 11th International Conference of DEA Samsun, TURKEYBankerR.EmrouznejadA.BalH.AlpI. and Ali CengizM., (eds), 2013, pp. 177–182.
8.
BattalA.H.AlshayeaA. and JarwanS., Total productivity growth in the faculties of ANBAR University using output oriented DEA Malmquist Productivity Index, in: Data Envelopment Analysis and Performance measurement: Proceeding of the 11th International Conference of DEA Samsun, TURKEYBankerR.EmrouznejadA.BalH.AlpI. and Ali CengizM., (eds), 2013, pp. 177–182.
9.
BankerR.D. et al., Some models for the estimation of technical and scale in efficiency data envelopment analysis, Management Science30(9) (1984), 1078–1092.
10.
KuahC.T. et al., A revives on data envelopment analysis (DEA), Fourth Asia International Conference on Mathematical Analytical Modeling and Computer Simulation (2010), 168–173.
11.
KuahC.T. and WongK.Y., Efficiency assessment of universities through data envelopment analysis, Procedia Computer Science, Elsevier Ltd3 (2011), 499–506.
12.
BarraC. and ZottiR., Measuring efficiency in higher education: An empirical study using a bootstrapped data envelopment analysis, International Journal in Advances in Economic Research21(1) (2016), 11–33.
13.
FondleG., On the performance of university in North Rhine, Westphalia, Germany: Government redistribution of funds judge using DEA efficiency measures, Europeans Journal of Operation Research, Elsevier176 (2007), 521–533.
14.
IzadiH.JohnsG.OskrochiR. and CrouchleyR., Stocastic frontier estimation of a CES cost function: The case of higher education Britain, Economics of Education Review, Elsevier Ltd21 (2002), 63–71.
15.
GPGC, Gopeshwar: Chamoli Uttarakhand India, NAAC, 2014.
16.
GuptaP.SharmaT.K. and MehrotraD., Implementation of Genetic Algorithm for developing knowledge centric environment in higher education, International Journal of Hybrid Intelligent Systems, IOS Press Netherland14(1-2) (2017), 13–19. doi: 10.3233/HIS-170238.
17.
AliI.PantM.RanaU.S. and JauharS.K., DEA for measuring the academic performance of a higher educational institute of Uttarakhand, India: International Journal of Computer Information Systems and Industrial Management Applications, Dynamic Publishers Inc, USA, MIR Labs9 (2017), 206–217. ISSN 2150-7988, www.mirlabs.net/ijcisim/index.html.
18.
AliI.RanaU.S.PantM.JauharS.K. and MoghaS.K., Estimating technical efficiency of academic departmenst: Case of government PG college, in: Soft Computing: Theories and Applications, Advances in Intelligent Systems and ComputingPantM. et al., (eds), Springer Nature Singapore Pte Ltd 584 (2017). http://doi.org/10.1007/978-981-10-5699-4_38.
19.
JohnesJ. and YuL., Measuring the research performance of Chinese higher education institutions using data envelopment analysis, China Economic Review, Elsevier Inc19 (2008), 679–696. doi: 10.1016/j.chieco.2008.08.004.
20.
JohnesJ., Data envelopment analysis and its application to the measurement of efficiency in higher education, Economics of Education Review, Elsevier Ltd25 (2006), 273–288. doi: 10.1016/j.econedurev.2005.02.005.
21.
JohnesJ. and JohnesG., Research funding and performance in UK university department, Economics of Education Review, Elsevier Ltd14 (1995), 301–314.
22.
BeasleyJ., Determining teaching and research efficiencies, Journal of Operation Research Society, Operation Research Society Ltd46 (1995), 441–452
23.
PuriJ. and YadavS.P., A fully fuzzy approach to DEA and multi-component DEA for measuring fuzzy technical efficiencies in the presence of undesirable outputs, Int J Syst Assur Eng Manag, Springer6(3) (2015), 268–285.
24.
JohanesJ., Measuring teaching efficiency in higher education: An application of data envelopment analysis to economic graduates from UK universities, Europian Journal of Operation Research, Elsevier174 (2006), 443-456. doi: 10.1016/j.ejor.2005.02.044.
25.
SmithJ.McKnightA. and NaylorR., Graduate employability: Policy and performance in higher education in the UK, Economic Journal110 (2000), F382–F411.
26.
ChenJ.-K. and ChenI.-S., Inno-Qual efficiency of higher education: Empirical testing using data envelopment analysis, Expert System with Applications38 (2011), 1823–1834.
27.
MondalK., Application design and analysis of different hybrid intelligent techniques, International Journal of Hybrid Intelligent Systems, IOS Press Netherland13(3-4) (2016), 173–181.
28.
MandalL.BhattacharyaS. and BasuP.N., An approach to incorporate teachers’ individual teaching and evaluation strategies and experience in tutoring model of an Intelligent Tutoring System, International Journal of Hybrid Intelligent Systems, IOS Press Netherland, Preprint (2017), 1–9.
29.
XueL., Universities in China’s national innovation system, UNESCO Forum on Higher Education, Research and Knowledge (HED/POL/2006/P1/2).
30.
BougnolM.L. and DulaJ., Validating DEA as a ranking tools an application of DEA to assess performance in higher education, Annals of Operation Research145 (2006), 339–365.
31.
MancebonM.J. and Mar MolineroC., Performance in primary schools, Journal of the Operation Research Society, Operation Research Society Ltd5(7) (2000), 843–854.
32.
RayeniM.M. and SaljooghiF.H., Benchmarking in the academic departments using data envelopment analysis, American Journal of Applied Sciences, Iran7(11) (2010), 1464–1469. ISSN 1546-9239.
33.
AbbottM. and DoucouliagosC., The efficiency of Australian’s universities a data envelopment analysis economics of education review, Elsevier Science Ltd22 (2003), 89–97. Pergamon, www.elsevier.com, doi: 10.1016/S0272-7757(01)00068-1.
34.
Madhvi and SrivastavaA., Measuring efficiency of commercial banks in India – A DEA study, British Journal of Economics, Finance and Management Sciences13(2) (28 March 2017).
35.
AvkiranN.K., Investigating technical and scale efficiencies of Australians university through data envelopment analysis, Socio Economics Planning Sciences35 (2001), 57–80.
36.
AzizN.A.A.JanorR.M. and MahadiR., Comparative departmental efficiency analysis within a university: A DEA approach, 6th International Conference on University Learning and Teaching22(2) (2012), 212–219.
37.
AzizN.A.A.JanurR.M. and MahdiR., The efficiency analysis of academic departments using DEA windows analysis, Data Envelopment Analysis and Performance Measurement: Proceeding of the 11th International Conference of DEA Samsun, TURKEYBankerNR.EmrouznejadA.BalH.AlpI. and Ali CengizM., (eds), 2013, pp. 359–366.
38.
Ozawa-MeidaL.BrockwayP.LettenK.DaviesJ. and FlemingP., Measuring carbon performance in a UK university department through a consumption-based carbon footprint: De Montfort University case study, J Clean Prod56 (2013), 185–198.
39.
TyagiP.YadavS.P. and SinghS.P., Relative performance of academic departments using DEA with sensitivity analysis, Evaluation and Program Planning Elsevier Ltd32 (2009), 168–177. doi: 10.1016/j.evalprogplan.2008.10.002.
40.
KorhonenP.TainioR. and WalleniusJ., Value efficiency analysis of academic research, European Journal of Operation Research, Elsevier BV130 (2001), 121–132.
41.
RamanathanR., An introduction to data envelopment analysis, Sage Publication India Pvt Ltd, New Delhi, 2003.
42.
TomasR., Using data envelopment analysis: A case of universities, Journal Review of Economic Perspective14(1) (2014), 34–54.
43.
MoghaS.K.YadavS.P. and SinghS.P., Estimating technical efficiency of public sector hospitals of Uttarakhand (India), International Journal of Operation Research, Inderscience Enterprises Ltd25(3) (2016), 371–399.
44.
JauharS.K.PaantM. and DuttR., Performance measurement of an Indian higher education institute: A sustainable educational supply chain management perspective, Int J Assur Eng Manag, Springer (2016), 1–14. doi: 10.1007/s13198-016-0505-4.
45.
MoghaS.K.YadavS.P. and SinghS.P., New slack model based efficiency assessment of public sector hospitals of Uttarakhand state of India, Int J Syst Assur Eng Manag, Springer5(1) (2014), 32–42.
46.
MoghaS.K.YadavS.P. and SinghS.P., Technical efficiency and productivity growth in public sector hospital of Uttarakhand (India), Int J Syst Assur Eng Manag, Springer6(4) (2015), 390–406.
47.
MoghaS.K.KumarA.KumarA. and KunrooM.H., Performance measurement of academic departments: Case of a private institution, Soft Computing: Theories and Applications, Advances in Intelligent Systems and ComputingPantM. et al., (eds), Springer Nature Singapore Pte Ltd 584 (2017), pp. 387–397.
48.
KaurS. and GuptaP.K., Productive efficiency mapping in Indian banking system using data envelopment analysis, Procedia Economics and Finance25 (2015), 227–238.
49.
SinghS.K. and JhaA.P., Efficiency and effectiveness of state transport undertakings in India: A DEA approach, Theoretical Economics Letters7 (2017), 1646–1659.
50.
JauharS.K. and PantM., Genetic algorithms, a nature-inspired tool: Review of applications in supply chain management, Proceedings of Fourth International Conference on Soft Computing for Problem Solving, Springer India (2015), 71–86.
51.
JauharS.K.PaantM. and DeepA., An approach to solve multi-criteria supplier selection while considering environmental aspect using differential evolution, B.K. Panigarhi, (ed), Swarm, Evolutionary, and Memetic Computing, Springer, Switzerland (2013), pp. 199–208.
52.
JauharS.K.PaantM. and AbrahamA., A novel approach for sustainable supplier selection using differential evolution: A case on pulp and paper industry, J.S. Pan, (ed), Intelligent Data Analysis and Its Application, vol. II. Springer, Switzerland (2014a), pp. 105–117.
53.
JauharS.K.PantM. and DeepA., Differential evolution for supplier selection problem: A DEA based approach, proceeding of the third international conference on soft computing for problem solving, Springer India (2014b), 343–353.
54.
SelimS. and BursaliogluS.A., Analysis of the determinants of universities efficiency in Turkey: Application of the data envelopment analysis and panel Tobit model, Cyprus International Conference on Educational Research, (CY-ICER 2013) Procedia – Social and Behavior Sciences89 (2013), 895–900.
55.
AhnT.ArnoldV.CharnesA. and CooperW.W., DEA and ratio efficiency analysis for public instructions of higher learning in texas, Research in Government and Non-Profits Accounting5 (1989), 165–185.
56.
BreuT.M. and RabbR.L., Efficiency and perceived quality of the nations “Top 25” National University and National Liberal Arts Colleges: An application of data envelopment analysis to higher education, Socio-Economic Planning Sciences28 (1994), 33–45.
57.
AhnT.ArnoldV.CharnesandA. and CooperW.W., DEA and ratio efficiency analysis for public instructions of higher learning in texas, Research in Government and Nonprofits Accounting5 (1989), 165–185.
58.
TrstenjakB. and DonkoD., Web prediction framework for college selection based on the hybrid: Case based reasoning model and expert’s knowledge, International Journal of Hybrid Intelligent Systems, IOS Press Netherland13(3-4) (2016), 161–171.
59.
CookW.D. and SeifordL.M., Data envelopment analysis (DEA) – thirty years on, Europeans Journal of Operation Research, Elsevier BV192 (2009), 1-17.
60.
CoellieT.J., A guide to DEAP version 2.1: A data envelopment analysis (computer) program, centre for efficiency and productivity analysis (CEPA), Department of Econometrics, University of New England Armidale, NSW 2351, Australia, Working Papers No. 8/96, 1996, ISSN 1327-435X, ISBN 186389 4969.
