A performance evaluation framework for technical institutions in one of the states of India

Das, Manik Chandra; Sarkar, Bijan; Ray, Siddhartha

doi:10.1108/bij-02-2013-0019

Cited by 17 publications

(10 citation statements)

References 44 publications

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“…Das et al (2015) maintain the association of Quality of Research output and teaching. The Quality of Research, which is measured as the number of publication in journals (reflecting international repute and indices such as SCOPUS, SCI, SSCI, etc.…”

Section: Discussion and Resultsmentioning

confidence: 99%

Benchmarking model for management education in India

Yeravdekar

Behl

2017

BIJ

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Purpose Management education has assumed phenomenal prominence in India in recent years, with branding being a prime factor used as a yardstick, rather a benchmark or point of reference, for one institution having an edge over the other. The purpose of this paper is to explore the factors leading to branding of management education in India. It proposes two frameworks using Total Interpretive Structural Model (TISM) for public and private sector management colleges. For this purpose, variables are extracted using systematic literature review, which play a crucial role in changing the dynamics of college rankings. The inquiry distinctly examines the nature of relationship between them for public and private colleges offering higher education. The study further proposes strategies for improvement of rankings by discussing the hierarchy and interrelationship among the enablers. Design/methodology/approach The study uses Interpretive Structural Model (ISM) to ascertain the linkages between the variables, and employs TISM to validate the reasons of association. The model was fabricated by consulting the experts from various spheres closely allied to branding and higher education, including the private agencies and decision makers in the selected colleges. The variables were furthermore structured for classification using Matrice d’Impacts Croises-Multiplication Appliqué an Classment Analysis. Findings It was observed that the variables behave differently when studied from the perspective of private sector colleges and public sector colleges; the former have seven levels of arrangement while it is only four for the latter. Quality of Faculty and Research were the key areas of concern for private sector colleges while infrastructure featured as a focal point for those in public sector. It was also evident that the placement of variables and their flow were different. Rankings should thus be premeditated differently for both the sectors and different weights should be assigned to rank the colleges. Research limitations/implications The study is confined to branding of management education institutes in India, without considering other important disciplines for generalizing the framework. It is based on literature review followed by ISM, while other approaches such as ethnographic research methods and appreciative inquiry could have been possible alternatives as well. Practical implications The paper helps in developing different frameworks for private and public sector institutes, which would assist them to have a homogenous completion within their respective sectors. The study can be used to measure the performance of colleges on various parameters and gives them linking variables to enhance their productivity. Originality/value The paper discusses the need for developing a different barometer to measure the performance of private sector and public sector colleges offering higher education.

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Section: Discussion and Resultsmentioning

confidence: 99%

Benchmarking model for management education in India

Yeravdekar

Behl

2017

BIJ

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“…MOOSRA (multiobjective optimization based on simple ratio analysis) was developed by Das et al (2012) to overcome the problems found in other MCDM techniques. Das et al (2015) used MOOSRA for evaluating performance in the education system. They initially formed the…”

Section: Moosra Methodsmentioning

confidence: 99%

A mixed-integer linear programming model for aggregating multi–criteria decision making methods

Pala

2022

Decis. Mak. Appl. Manag. Eng.

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Selecting an MCDM method to use in any decision-making problem is always a difficult issue regarding that there is no agreement generally on which method is the most appropriate one. This paper addressed a proposal of a hybrid approach for this problem. Under the assumption that there is no superiority among well-established and accepted MCDM methods, we defined a minimax strategy based on the fact that the highest total rank deviation between MCDMs and the proposed hybrid approach in terms of alternative rankings should be as low as possible. Even though MCDM methods often rank the alternatives differently, many methods perform similar ranking due to sharing alike mathematical operations. To avoid positive bias towards these methods in an integrated approach, we focused on a prioritizing scheme that supports differentiated rankings from others. This prioritizing scheme also contributed to hindering the problem of selecting MCDMs with constraining the compound effect of similar rankings. We developed a hybrid decisionmaking model combining different MCDM methods with prioritizing them by using a mixed-integer linear programming model. We compared the proposed approach with some well-known prioritizing methods and the results revealed that the proposed approach produced better outcomes in obtaining the desired outputs.

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“…Evaluation of the performance of engineering educational institutes is a difficult task because of their intangible nature (I-Huei et al , 2001; Das et al , 2015). But the performance can be compared in terms of their relative efficiencies (Tasopoulou and Tsiotras, 2017).…”

Section: Literature Reviewmentioning

confidence: 99%

Evaluating comparative performance of Indian engineering educational institutes based on TQM criteria for internal benchmarking

Mehta¹,

Diwakar²,

Arya³

2019

BIJ

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Purpose The purpose of this paper is to provide a framework for designing a multiple performance measurement tool for evaluating, comparing and benchmarking the working of engineering educational institutes in a group based on total quality management (TQM) criteria and performance measurement criterion, respectively. Design/methodology/approach Proposed framework is based on fuzzy analytic hierarchy process (FAHP) which takes in to account the fuzziness of human opinion for realistic outcome and generalization of the results. Based on the proposed framework a case study was conducted on engineering institutes of central India for collecting data and analyzing the current practices followed in these institutes. A relationship among TQM implementation criterion was developed, their respective weights derived and then institutes were ranked. Findings It was found that the rank of institutions based on both the criterion is same, which indicates that the institutes having better TQM implementation have better performance. Research limitations/implications The research in this paper is limited to Indian scenario; studies in other countries and sectors may be conducted to compare the results obtained. Practical implications The results will help policy makers in identifying institutions having poor performance in the region. Originality/value The paper is navel in its attempt to provide a model based on TQM criteria for evaluating the working of engineering educational institutes in a group in terms of their relative weightage and benchmark.

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A performance evaluation framework for technical institutions in one of the states of India

Cited by 17 publications

References 44 publications

Benchmarking model for management education in India

Benchmarking model for management education in India

A mixed-integer linear programming model for aggregating multi–criteria decision making methods

Evaluating comparative performance of Indian engineering educational institutes based on TQM criteria for internal benchmarking

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