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11th International Conference on Soft Computing for Problem Solving, SocProS 2022 ; 547:577-589, 2023.
Article in English | Scopus | ID: covidwho-2280912

ABSTRACT

During the time of COVID-19, the growth of the Hotels and Restaurants (H&Rs) sector fall down throughout the world. The overall performance of this sector falls during this challenging time. Therefore, this sector has to adopt new strategies to make the best use of the opportunities and counter the challenges in this crucial time. One of these challenges is how to assess the performance of H&Rs based on multiple criteria. Keeping this in view, this paper attempts to evaluate the efficiency of 45 large-scale H&R companies operating in India using the data envelopment analysis (DEA) technique. DEA-based CCR and BCC models are employed to evaluate the efficiency on the bases of recyclable input and output variables. The study is carried out with four input and two output variables. On an average, 78.30% H&Rs are found to be technically efficient (TE) which suggests a possible improvement of 21.70%. The stability of results is also carried out using recyclable input and output that suggest the importance of the used variables for the overall improvement of the efficiency of the deployed H&Rs. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

2.
21st International Conference on Electronic Business: Corporate Resilience through Electronic Business in the Post-COVID Era, ICEB 2021 ; 21:129-143, 2021.
Article in English | Scopus | ID: covidwho-1728413

ABSTRACT

Making the entire world extremely nervous, more than the quarter of a year has gone past since the global breakout of deadly respiratory illness, named Coronavirus Disease-2019 (CoViD-19), over nine million people across the globe have already been infected with more than five percent death rate, and the number is still ascending at a tremendously frightening rate. This study has been driven to identify the adequacy and quality of responses from national health facilities in Bangladesh during this epidemic and discern the stimulates that influence the entire system. With an in-depth exercise of a nonparametric statistical method for proficiency weighting, namely the Data Envelopment Analysis (DEA) technique, the objective of this study of evaluating the thorough response and performance of the Bangladeshi National Health Service has been placed in efforts to be achieved. With the outcome, the method and operation of assessing the effective responsiveness, capability, and appropriate organization of the national health services (NHS) in Bangladesh during the ongoing COVID-19 pandemic have been revealed. It has also been specifically identified that this country’s health system does not possess material mastery on input variables;neither do they have strong dominance over output variables. With a view to minimizing the expenditure, they should have decreased input variables alongside enhancing input resources thoroughly to deal with this pandemic with stringent governance. Direction and limitation of future research endeavors in this area may be indicated by this study. National responses across the globe can also be benchmarked. © 2021 International Consortium for Electronic Business. All rights reserved.

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