Benchmarking the assessment of barriers to the admission of management education in India during the COVID-19 pandemic

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Pradeep Kumar Tarei ◽  
Santosh Kumar
Keyword(s):  
Decision Making ◽  
Indian Institute ◽  
Educational Institutions ◽  
Assessment Framework ◽  
Content Type ◽  
Integrated Method ◽  
Network Process ◽  
Education In India ◽  
Managerial Strategies ◽  
Management Institutions

PurposeThis paper proposes a decision-making framework for assessing various dimensions and barriers that have affected the admission process in management educational institutions during the ongoing pandemic. The framework considers the interrelationship between the obstacles and highlights the importance of each barrier.Design/methodology/approachAn integrated method based on decision-making trial and evaluation laboratory and analytical network process is proposed to structure the barrier assessment framework. Results obtained from the study are validated by comparing them against the conventional analytical hierarchy process.FindingsThe results obtained from this study indicate four significant dimensions that hinder admission in Indian management institutes, namely, governmental, financial, sectoral, institutional and market. The top five barriers are demand shift towards technical (alternative) skills, acceptance of the graduated students, lack of industry–institute collaboration, lack of long-term vision and opening new Indian Institute of Technologies (IITs) and Indian Institute of Managements (IIMs).Research limitations/implicationsDuring this ongoing pandemic, many educational institutes have been forced to shift from the traditional classroom to a virtual teaching model. In this regard, this study helps identify and assess the barriers to admission in Indian management institutes during this epidemic and thus, contribute to the literature. The findings will assist all stakeholders and policymakers of management institutions design and develop appropriate managerial strategies. The study is conducted in the Indian management educational institute context and can be extended to technical education institutions for deeper insights.Originality/valueThe paper develops an assessment framework for analysing the barriers to admission in Indian management institutes during the ongoing COVID-19 pandemic. Research implications are discussed in the context of a developing country.

A proposed maturity assessment framework of the Greek local government Web Electronic Services

2019 ◽  
Vol 13 (3/4) ◽  
pp. 237-256 ◽  
Author(s):  
Nikolaos Panayiotou ◽  
Vasileios Stavrou
Keyword(s):  
Decision Making ◽  
Statistical Analysis ◽  
Local Government ◽  
Methodological Approach ◽  
Future Research ◽  
Medium Size ◽  
Assessment Framework ◽  
Maturity Level ◽  
Content Type ◽  
Promethee Ii

Purpose This paper aims to construct an assessment framework to establish a maturity model for Web Electronic Services offered at a local government level and investigate the maturity of Greek municipalities in the E-Government field, trying to correlate how this is affected by demographic variables. Design/methodology/approach An original assessment framework regarding municipal Electronic Services was created based on the literature review. The assessment framework was included in a methodological approach supported by the PROMETHEE II method, as well as by selected statistical methods. The framework and the methodological approach were applied in the case of Greek municipalities. Findings The analysis revealed the low maturity level of Greek municipalities in Electronic Services sector. The Greek case study indicated that the proposed framework and methodological approach could provide useful insights to municipalities for the improvement of its E-Government Web services based on their strategic preferences. Research limitations/implications The assessment took place only in Greece, assessing all the country's municipalities and conducting research only in the municipalities’ websites. The proposed methodology suggests that the PROMETHEE II multi-criteria decision analysis method can support the assessment of the maturity level of local government entities. Moreover, the combination of the PROMETHEE II–empowered assessment framework with demographic statistical analysis can assist orthological decision-making concerning future investments in Web Electronic Services. The methodology could be a good option for future research efforts (assessments) in municipalities, in Greece and worldwide. Practical implications The framework is both easy to use and fairly complete. The fact that the assessment was conducted in all the Greek municipalities makes it much more reliable, as it provides the whole picture. The suggested methodology which includes the proposed framework could be used in the cases of municipalities in other countries to assist future actions concerning the investment in Web Electronic Services. Originality/value This study provided a medium-size framework, being both complete and easy to use during the evaluation process of all the municipalities in Greece. In addition, the statistical analysis received data from a decision-making tool to execute the clustering (Cluster analysis is usually performed based on the raw data).

Employing fuzzy ANP for ranking the personality of international brands in the sports shoe industry

2018 ◽  
Vol 13 (1) ◽  
pp. 137-155 ◽  
Author(s):  
Javad Khazaei Pool ◽  
S. Mohammad Arabzad ◽  
Sobhan Asian ◽  
Milad Fahimi ◽  
Reza Verij Kazemi
Keyword(s):  
Decision Making ◽  
Academic Research ◽  
Evaluation Criteria ◽  
Analytic Network Process ◽  
Competitive Advantages ◽  
Content Type ◽  
Shoe Industry ◽  
Sport Shoe ◽  
Network Process ◽  
Quantitative Basis

Purpose This paper aims to provide a quantitative basis to analytically determine the ranking of the brand personality of Adidas, Asics, Nike, Puma and Saucony brands among Iranian customers via a conventional multi-criteria decision-making (MCDM) method. Design/methodology/approach Data for determining the importance of evaluation criteria and ranking of brands are gathered by means of distributing questionnaires among a group of Iranian customers of sport shoes, as well as some industrial experts. The fuzzy analytic network process (FANP) was used to rank the brands with regard to dependencies between criteria and alternatives. Findings The results indicate that FANP is a capable method which provides invaluable insights for strategic marketing decisions in the sport product industry. Results show Adidas has the best performance in the sports shoe market compared to the other four brands. In this study, it was found that expertise sophistication was the most important criterion among Aaker’s five main criteria. Originality/value The value of this paper is applying FANP decision-making method for ranking sport shoe brands. This method has not been commonly used in the area of marketing, hence it is added to the pool of techniques used in ranking brands. In addition, evaluation and ranking of brands can be very useful for both academic research and practice. Researchers can benchmark the competences of each brand through evaluating them, and industrialists can extract the competitive advantages of the selected brands.

The distribution strategy selection for an e-tailer using a hybrid DANP VIKOR MCDM model

2019 ◽  
Vol 26 (2) ◽  
pp. 395-433 ◽  
Author(s):  
Rohit Titiyal ◽  
Sujoy Bhattacharya ◽  
Jitesh J. Thakkar
Keyword(s):  
Decision Making ◽  
Analytic Network Process ◽  
Major Influence ◽  
Strategy Selection ◽  
Vikor Method ◽  
Content Type ◽  
Distribution Strategy ◽  
Network Process ◽  
Decision Making Framework ◽  
External Characteristics

Purpose The purpose of this paper is to apply a multi-criteria decision-making (MCDM) framework to evaluate distribution strategies for an e-tailer. An application of MCDM method, the hybrid DANP–VIseKriterijumska Optimizacija I Kompromisno Resenje (VIKOR) model, is used for e-tailers’ distribution strategy evaluation. The choice of distribution strategies under various dimensions is evaluated. Design/methodology/approach The authors used a hybrid MCDM model to solve the decision-making framework, which combines Decision-Making Trial and Evaluation Laboratory (DEMATEL), DEMATEL-based analytic network process and VIKOR method. Data were collected from the experts (e-tail manager, logistics manager, operations manager and distribution center (DC) manager) using two questionnaires, first for the influential relationship among the criteria and dimensions and second for a performance rating of each alternative (distribution strategies) against each criterion. Findings DANP with VIKOR method prioritizes the distribution strategies in the following order: DC shipment, drop shipment, click and collect, store shipment and click and reserve. Performance gap was calculated based on the VIKOR method to provide distribution strategies to an e-tailer under different situations. The authors infer that in developing country, product characteristics and transportation have a major influence on deciding the distribution strategy. Practical implications Decision-making framework will provide e-tail mangers a knowledge-based understanding to select the distribution strategy under the different situations related to the performance, product, e-tailer and external characteristics for smooth order fulfillment process. The insights developed by this research provide a framework for rational decision making in distribution strategy selection in e-business. Originality/value This is the first kind of a study which offers a decision framework for e-tail managers on how to choose distribution strategies under different situations which are related to the performance, product, e-tailer and external characteristics.

scholarly journals Cognitive influences shaping grade decision-making

2019 ◽  
Vol 27 (2) ◽  
pp. 166-178
Author(s):  
Ian Pownall ◽  
Victoria Kennedy
Keyword(s):  
Decision Making ◽  
Factor Analysis ◽  
Data Collection ◽  
Small Sample ◽  
Educational Institutions ◽  
Content Type ◽  
Cognitive Influences ◽  
Data Collection Instrument ◽  
Management Students ◽  
Additional Constraints

Purpose The purpose of this study is to explore the influences that shape the intention of a grading decision at the point at which it is made. This can be particularly important when those influences may vary during the marking process making reflective analyses also difficult to explore. Design/methodology/approach The authors draw upon a small sample of assessed scripts from two UK higher educational institutions and undertake a factor analysis of potentially important influences that shape the grading decision at the cognitive point it is made. Findings The authors’ findings indicate that for the sample analysed, the marker’s most important influences were those associated with the normative view of marking, although they also suggest potential influences from when the script was graded and the fatigue of the marker concerned. Research limitations/implications The work is confined to management students and limited by the sample size. A factor analysis reveals the cluster of influences that contribute to observed grade outcomes but provides less clarity upon relative inter-dependencies between those factors. There are additional constraints in that the constructed data collection tool was self-administered. Practical implications The data collection instrument (VBA Excel workbook) is, the authors believe, quite innovative in capturing immediate cognitive reflections. It could be developed for other decision-making research. The authors also believe there are staff developmental outcomes from the work, to sustain and enhance assurance in the grading process. Originality/value As far as the authors can determine, research that has explored the influences shaping grading and mark allocation tends to be reflective or undertaken after the event. The authors’ research data are constructed at the same time as the grade/mark is determined.

Modeling enablers of knowledge management process using multi criteria decision making approach

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Nishant Agrawal
Keyword(s):  
Decision Making ◽  
Knowledge Management ◽  
Research Work ◽  
Research Area ◽  
Multi Criteria Decision Making ◽  
Interpretive Structural Modeling ◽  
Content Type ◽  
Effect Relationship ◽  
Integrated Method ◽  
Knowledge Based

Purpose Drawing from boundary-spamming knowledge processes and knowledge-based theory, the purpose of this paper is to study enablers of the knowledge management (KM) process using robust multi-criteria decision-making (MCDM) tools like interpretive structural modeling (ISM) and decision-making trial and evaluation laboratory (DEMATEL) method. Design/methodology/approach Drawing on the knowledge-based view and through the detailed literature review among different KM success, eight enablers were identified. By using the ISM-DEMATEL approach, a systematic framework was designed, and further cause–effect relationship diagram visualized a causal relationship among the enablers. Findings The combined approach of ISM-DEMATEL showcase that “knowledge creation” and “knowledge capture” are essential enablers. These two identified enablers have considered being pillars for KM implementation. On the other side, knowledge organization, knowledge application are dependent enablers. Practical implications From a practical viewpoint, the findings of this research work enable the industry consultants to identify the most prominent driving enablers for KM implementation. Additionally, it provides a clue for the effective implementation of KM in a systematic approach. Originality/value The integrated method depending on the hierarchical model and cause–effect relationship between enablers of the KM process is a novel approach that opens a new research area in this domain. Moreover, this is the first-ever attempt to combine ISM along with DEMATEL to identify enablers of the KM process.

An analysis of intensive mode pedagogy in management education in India

2015 ◽  
Vol 29 (4) ◽  
pp. 408-419 ◽  
Author(s):  
Sita Mishra ◽  
Rajendra Nargundkar
Keyword(s):  
Management Education ◽  
Mode Of Delivery ◽  
Developed Countries ◽  
Delivery Mode ◽  
Content Type ◽  
Mba Students ◽  
Education In India ◽  
Speed Up ◽  
Management Institutions ◽  
Intensive Teaching

Purpose – Management education is at its peak in India. But pedagogy and modes of delivery are not always innovative compared to top international Business Schools. It is through experimentation that the paper may be able to discover what works best in our context. The purpose of this paper is to determine the effectiveness of intensive mode of delivery vs traditional semester-wide teaching of management courses among MBA students of a leading Business School, through one such experiment. Design/methodology/approach – A total of 19 dimensions were used in this study. The questionnaire was tested on two different groups. An independent sample t-test was conducted for each dimension, to find out if the group that was subjected to this experiment had opinions different from the group that did not undergo the accelerated version. Findings – The results indicated perceptions on most of the dimensions disconcerting, barring increase in commitment, engagement, focus, and concentration with intensive mode. Further, this negative perception augmented towards intensive delivery mode, after experiencing traditional delivery. Practical implications – The literature does appear to show controversial outcomes related to intensive mode but more studies are in support of intensive modes of delivery format. The issue of whether students learn better in a semester/trimester of traditional length or with a compressed schedule is a key concern to the innovations in higher education scheduling today. Findings of this study pose a serious threat to all those management institutions which are planning to attempt to speed up the delivery of programmes and courses within them in order to reduce cost or other reasons. Originality/value – In education literature, significant amount of research has been carried out using a time compressed in developed countries. This study is one of the first studies, which focuses on determining the effectiveness of intensive teaching against traditional trimester/semester wide teaching among MBA education in India.

Maintenance strategy selection in a cement industry using analytic network process

2019 ◽  
Vol 26 (4) ◽  
pp. 509-525
Author(s):  
Mary C. Kurian ◽  
Shalij P.R. ◽  
Pramod V.R.
Keyword(s):  
Decision Making ◽  
Analytic Network Process ◽  
Multiple Criteria ◽  
Cement Industry ◽  
Superior Performance ◽  
Cement Plant ◽  
Strategy Selection ◽  
Maintenance Strategy ◽  
Content Type ◽  
Network Process

Purpose The purpose of this paper is to demonstrate the application of analytic network process (ANP) as a methodology to make multiple criteria decision in selecting the most appropriate maintenance strategy for organizations with critical manufacturing requirements. Design/methodology/approach Maintenance strategy selection problems are multiple criteria decision making (MCDM) problems which consist of many qualitative and quantitative characteristics. For solving MCDM problems, the ANP is highly recommended as it considers the interdependent influences among and between the various levels of decision attributes. In this research paper, the ANP method is used to select the optimum maintenance strategy in a cement industry in India. Findings The ANP method can be used as an effective tool for the evaluation of possible alternatives in maintenance strategy decision problems by considering the dependency among the strategic factors. Research limitations/implications As illustrated in this paper, ANP method can also be used in other industries for adopting the optimum maintenance strategy to enhance the business performance by decreasing the losses associated with equipment effectiveness. Practical implications The major contribution of this research is the successful development of the comprehensive ANP model for the cement plant. ANP model incorporates diversified variables of the cement plant supply chain and includes their interdependencies. The proposed ANP model in this paper, not only guides the decision makers in the selection of the best services but also enables them to visualize the impact of various criteria in the arrival of the final solution. Social implications The model can be extended to certain other manufacturing sectors as the future scope of research and may assist in obtaining a clear idea regarding the status of current maintenance strategies. It should be carried out with a larger number of firms in India focusing on small and medium firms to confirm these results and reinforce their applicability to these kinds of firms. Studies of such a nature would help in identifying successful organizational factors or successful maintenance practices that lead to superior performance. Originality/value This paper explores the value of implementing ANP as a decision making method in maintenance strategy, which is currently not a prevalent method.

Maintenance strategy selection using AHP and ANP algorithms: a case study

2012 ◽  
Vol 18 (1) ◽  
pp. 16-29 ◽  
Author(s):  
Selim Zaim ◽  
Ali Turkyılmaz ◽  
Mehmet F. Acar ◽  
Umar Al‐Turki ◽  
Omer F. Demirel
Keyword(s):  
Decision Making ◽  
General Purpose ◽  
Strategy Selection ◽  
Maintenance Strategy ◽  
Maintenance Strategies ◽  
Content Type ◽  
Network Process ◽  
Practical Implications ◽  
Selection Of

PurposeThe purpose of this paper is to demonstrate the use of two general purpose decision‐making techniques in selecting the most appropriate maintenance strategy for organizations with critical production requirements.Design/methodology/approachThe Analytical Hierarchical Process (AHP) and the Analytical Network Process (ANP) are used for the selection of the most appropriate maintenance strategy in a local newspaper printing facility in Turkey.FindingsThe two methods were shown to be effective in choosing a strategy for maintaining the printing machines. The two methods resulted in almost the same results. Both methods take into account the specific requirements of the organization through its own available expertise.Practical implicationsThe techniques demonstrated in this paper can be used by all types of organizations for selecting and adopting maintenance strategies that have higher impact on maintenance performance and hence overall business productivity. The two methods are explained in a step‐by‐step approach for easier adaptation by practitioners in all types of organizations.Originality/valueThe value of the paper is in applying AHP and ANP decision‐making methodologies in maintenance strategy selection. These two methods are not very common in the area of maintenance, and hence add to the pool of techniques utilized in selecting maintenance strategies.

Towards lean warehouse: transformation and assessment using RTD and ANP

2016 ◽  
Vol 65 (4) ◽  
pp. 571-599 ◽  
Author(s):  
Sanjay Sharma ◽  
Bhavin Shah
Keyword(s):  
Decision Making ◽  
Team Building ◽  
Analytic Network Process ◽  
Continuous Assessment ◽  
Manufacturing Firm ◽  
Content Type ◽  
Lean Transformation ◽  
Network Process ◽  
Enterprise Level ◽  
Practical Validation

Purpose – The purpose of this paper is to represent a unique combined Real time Delphi (RTD) – analytic network process (ANP) approach considering efficient decision making with practical validation. Design/methodology/approach – An ANP model encounters invisible relationship and interdependency among qualitative and quantitative criteria for assessment. RTD supports continuous assessment and improvement in team building, modeling, developing, implementing and validating the procedure. To illustrate practical validation of the model, the authors apply it in a manufacturing firm. A case illustrating the model, finds improved results and judgments followed by conclusion. Findings – A case illustrating the model, finds improved results and judgments. This model improves warehouse performance by integrating lean and people issues. The outcome results in an efficient decision making and consensus judgments. It also fosters high trust and coordination level among people in warehouse. Originality/value – Previous studies have assessed leanness either at enterprise or manufacturing level. As lean transformation and assessment both are continuous and long-term procedure, first the concept should apply to single function and should lead toward enterprise level. A web-based approach and multi criteria decision-making techniques like analytic hierarchy process, and ANP had been applied individually to measure leanness at enterprise level. Because of the warehouse contributing significantly to the total wastes and costs for an organization, such operations are considered presently.

A decision support method for poorly structured problems in school management

2013 ◽  
Vol 9 (1) ◽  
pp. 91-112 ◽  
Author(s):  
Anna Meczynska ◽  
Roman Kmieciak ◽  
Anna Michna ◽  
Iwona Flajszok
Keyword(s):  
Decision Making ◽  
Design Methodology ◽  
Empirical Studies ◽  
School Management ◽  
Educational Institutions ◽  
Content Type ◽  
School Activities ◽  
Structured Problems ◽  
Decision Support Method ◽  
Practical Implications

Purpose – This paper aims to propose and present a decision-making support method for poorly structured problems in schools, using the example of one of the most important and difficult decisions that principals face: terminating a teacher's employment. Design/methodology/approach – A literature review was conducted, along with observations and interviews with 30 experienced principals, in order to identify decisions made by Polish principals. In order to sort non-programmable decisions according to their importance and difficulty, data were collected from 377 principals. Opinions from two groups, consisting of 22 and 25 experts, respectively, were collected in order to identify and order a set of criteria for making a specified non-programmable decision. Findings – The four following areas of school activities were distinguished: finances, teaching and care, internal processes, and development of organisation. Within these categories, 126 decisions made by principals were identified, 96 of which were non-programmable. One of the most difficult and important non-programmable decisions was related to the termination of a teacher's employment. In order to support decisions regarding a teacher's dismissal, 44 criteria with different importance levels were identified. Practical implications – Principals can use the method proposed in this paper, as it increases the rationality and objectivity of making a dismissal decision. The method can also be adapted for other difficult non-programmable decisions. Originality/value – The expert opinion method might be useful for solving poorly structured problems in the management of educational institutions. As far as it can be ascertained, no previous empirical studies have identified and ranked the most important and difficult non-programmable decisions facing principals.

Sign in / Sign up

Export Citation Format

Share Document