Purpose Owing to high competition in education sector, quality in education has become utmost important criteria to deliver better education service. For this purpose, it is required to monitor the quality of education. This paper aims to prioritize National Board of Accreditation (NBA) quality parameters in engineering education as per student’s needs using quality function deployment (QFD). Design/methodology/approach This study is conducted among students of an institute of National importance in three stages. Stage 1 involves conducting interview with 23 students to find the student’s requirement from an institute. Further Stage 2 involves importance rating collection through questionnaire survey method. In this stage, 228 students have given a rating of each student’s requirement. Finally, Stage 3 involves establishing correlation between student’s requirement and NBA quality parameters that has been done by 20 academic experts and finally making a QFD matrix for ranking of each NBA quality parameter. Findings The result of the study first indicates that among all students’ requirements, job-oriented requirement is the most important need, and ergonomics-based requirement is the least important need of students. Further, to fulfill their needs, an institute has to focus on each NBA quality parameter. But among all NBA quality parameters, student’s performance is highly desirable quality parameter. Practical implications This study will help top management of engineering institutions in making better policies and strategies for preparing their quality framework. These strategies will indirectly fulfill the customer needs that help in attracting more number of students toward those institutes. Originality/value In India, NBA is one of the leading bodies that monitor the quality of education. On the other hand, the institution has to satisfy the need of customer of education sector; therefore, prioritization of NBA quality parameter as per student’s need is one of the important needs that will help engineering institution to focus on a certain parameter to get a good quality certificate and also attract a number of meritorious students.
PurposeThis study aims to integrate the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) method with quality function deployment (QFD) which helps to improve the weight of technical attributes by calculating the closeness of particular attributes with the best attributes and farthest from the worst technical attributes simultaneously.Design/methodology/approachFor the fulfilment of the aim of the study, detailed literature is reviewed and a suitable tool for score calculation has been selected. Further, the proposed methodology is applied in a literature-based case study, and a new weight is calculated and compared with the previous weight.FindingsThe finding of the study suggests that higher weightage is assigned to those technical attributes which is very close to the best technical attribute, and lower weightage is assigned to the technical attributes which are very close to worst technical attributes. Therefore, the weight calculated with the help of the proposed methodology will suggest to optimally invest the resources on technical attributes so that the maximum customer satisfaction is achieved.Practical implicationsThe proposed method will help in better score calculation of QFD. Therefore, the use of the proposed method will help in better product and service design for maximum customer satisfaction.Social implicationsProposed methodology aims to help managers, administrators, QFD practitioners and product/service designers to design a new product/service or mange the quality of existing product/services in an effective way.Originality/valueThis is the first kind of study, in which modification in score calculation has been proposed. This modification will help in the better assignment of resources for maximum customer satisfaction.
Due to high competition and less employability in the technical education sector, quality in technical education has turned out to be most extreme imperative criteria to deliver better educational services. For this reason, it is required to screen the expectation of the customer of the education sector for fulfilling their needs. With aim of this, this article first illustrates the identification of the customer of the education sector, then their expectations from an institute and finally a detailed ranking of each expectation which has been done. For the ranking of student's expectations, various authors have used a number of multi-criteria decision-making methods, but the vagueness of the result was not being handled in their research. Therefore, in this study, a fuzzy approach has been used to rank the various expectations of customers. The result of the study indicates that among all student expectations, the job-oriented expectation is the most important expectation and further, an ergonomics-based expectation and a sports-based expectation are the least important expectations of the students.
Due to high competition and less employability in the technical education sector, quality in technical education has turned out to be most extreme imperative criteria to deliver better educational services. For this reason, it is required to screen the expectation of the customer of the education sector for fulfilling their needs. With aim of this, this article first illustrates the identification of the customer of the education sector, then their expectations from an institute and finally a detailed ranking of each expectation which has been done. For the ranking of student's expectations, various authors have used a number of multi-criteria decision-making methods, but the vagueness of the result was not being handled in their research. Therefore, in this study, a fuzzy approach has been used to rank the various expectations of customers. The result of the study indicates that among all student expectations, the job-oriented expectation is the most important expectation and further, an ergonomics-based expectation and a sports-based expectation are the least important expectations of the students.
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