Selecting a location for a potential hospital often decides the success or the failure of such a facility. It is thus important to assess the locations from multiple dimensions before selecting the site. This paper focuses on the multi factor evaluation of hospital sites using Analytical Hierarchy process (AHP)and evaluates three potential rural hospital sites in India. This study considered three major factors and eleven sub factors in the evaluation. Findings show that among the sub factors, cost of land, population density and proximity to public transport evolved as the three most significant sub factors. General TermsMulti criteria decision making

No abstract

Purpose This paper aims to explore and model the factors of management quality dimension (FMQD) in evaluating banking performance. Design/methodology/approach The FMQD in evaluating banking performance are explored through the review of literature. The identified factors are modeled using integrated fuzzy cognitive map (FCM) and Matrices’ Impacts Croise’s Multiplication Appliquée a UN Classement (MICMAC) approach. Scenario analysis is carried out on the proposed model to study the behavior in a dynamic setting. Findings The main finding of this study is the prioritization of FMQD in evaluating banking performance. The cohesive model obtained by FCM-MICMAC integrated approach demonstrates that the interlinked factors can be grouped into independent, autonomous, dependent and relay clusters. The results suggest that internal control system is the most influential factor, whereas the business per employee is the most sensitive one in modeling management quality. Research limitations/implications This study models the FMQD through expert opinions, and hence, individual bias may influence the results. This study can be further validated through statistical analysis. Practical implications The study suggests that practitioners may focus more on these select factors and their mutual interactions to enhance management quality for improving the performance of the banks. The study emphasizes that better clarity and efficient designing of internal processes are the key to management soundness. Originality/value This is the first study to explore and model FMQD in banking performance using FCM-MICMAC approach. Validation of the proposed model in a dynamic setting is also relatively new in the banking performance literature.

No abstract

PurposeSeveral authors have proposed various factors/enablers that enhance managerial performance of MBA students. However, there is little research on how to prioritise these enablers or how each enabler in the system of enablers influences each other. This paper aims to address this gap.Design/methodology/approachThis paper integrates the interpretive structural modelling (ISM) and Multiplication Appliquée á un Classement (MICMAC) techniques to arrive at the conclusions.FindingsThe “help achieve” power of each enabler, determined by ISM, is limited or accentuated by its “driving power and its dependence” determined by MICMAC. Out of the 14 enablers used in the study, this paper identifies five enablers that can enhance the performance of MBA students.Research limitations/implicationsWhen ISM and MICMAC are integrated, one can arrive at a better way to prioritise enablers in a system of enablers.Practical implicationsThe implication of the study findings is that all stakeholders can now systematically prioritise the enablers that can lead to performance and also save resources during the process. A related implication is that this method can be used in a wide variety of situations.Originality/valueThis paper highlights how an integrated use of ISM-MICMAC can improve decision-making and resource optimisation.