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Article
Publication date: 9 March 2021

Arnab Adhikari, Samadrita Bhattacharyya, Sumanta Basu and Rajesh Bhattacharya

In the context of India, this article proposes an integrated multicriteria decision-making (MCDM) regression-based methodology to evaluate input-level performance of the…

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Abstract

Purpose

In the context of India, this article proposes an integrated multicriteria decision-making (MCDM) regression-based methodology to evaluate input-level performance of the schools and investigate the impact of this performance along with contextual factors, i.e. medium of instruction and location of the school, on the school's output level performance, i.e. student pass rate.

Design/methodology/approach

First, Shannon entropy-based approach is applied for the weight assignment to different parameters. Then, integrated VlseKriterijumska Optimizacija I Kompromisno Resenje (VIKOR) technique for order preference by similarity to an ideal solution (TOPSIS)-based methodology is devised to measure the input-level performance of a school. Finally, multiple linear regression (MLR) analysis is incorporated to study the effect of input-level performance and above-mentioned contextual factors on the school's output-level performance.

Findings

Proposed methodology is applied to assess the input-level performance of 82,930 primary and secondary schools of West Bengal, India. All the factors have a significant impact on boys' pass rate, whereas only input-level performance and location of the school have a significant influence on the girls' pass rate.

Practical implications

The entropy-based approach highlights the importance of scientific weight assignment. Integrated MCDM demonstrates the significance of aggregation due to the variation in scores related to input-level performance across the methods. Regression analysis facilitates the exploration of determinants influencing the output-level performance of the schools.

Originality/value

This work depicts a holistic picture of the performance measurement system of the schools. It encompasses scientific weight assignment to the evaluation criteria, integrated input-level performance assessment of the schools and investigation into the effect of this performance, as well as other contextual factors on the output level performance.

Details

International Journal of Productivity and Performance Management, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1741-0401

Keywords

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Article
Publication date: 30 October 2020

Adrija Majumdar and Arnab Adhikari

In the context of sharing economy, the superhost program of Airbnb emerges as a phenomenal success story that has transformed the tourism industry and garnered humongous…

Abstract

Purpose

In the context of sharing economy, the superhost program of Airbnb emerges as a phenomenal success story that has transformed the tourism industry and garnered humongous popularity. Proper performance evaluation and classification of the superhosts are crucial to incentivize superhosts to maintain higher service quality. The main objective of this paper is to design an integrated multicriteria decision-making (MCDM) method-based performance evaluation and classification framework for the superhosts of Airbnb and to study the variation in various contextual factors such as price, number of listings and cancelation policy across the superhosts.

Design/methodology/approach

This work considers three weighting techniques, mean, entropy and CRITIC-based methods to determine the weights of factors. For each of the weighting techniques, an integrated TOPSIS-MOORA-based performance evaluation method and classification framework have been developed. The proposed methodology has been applied for the performance evaluation of the superhosts (7,308) of New York City using real data from Airbnb.

Findings

From the perspective of performance evaluation, the importance of devising an integrated methodology instead of adopting a single approach has been highlighted using a nonparametric Wilcoxon signed-rank test. As per the context-specific findings, it has been observed that the price and the number of listings are the highest for the superhosts in the topmost category.

Practical implications

The proposed methodology facilitates the design of a leaderboard to motivate service providers to perform better. Also, it can be applicable in other accommodation-sharing economy platforms and ride-sharing platforms.

Originality/value

This is the first work that proposes a performance evaluation and classification framework for the service providers of the sharing economy in the context of tourism industry.

Details

Benchmarking: An International Journal, vol. 28 no. 2
Type: Research Article
ISSN: 1463-5771

Keywords

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Article
Publication date: 12 November 2021

Sunil Nandankar, Amit Sachan, Arindam Mukherjee and Arnab Adhikari

Although comprehensive work has been conducted in several scholarly journals in electronic service quality (e-SQ) measurement, there has been no cross-functional review of…

Abstract

Purpose

Although comprehensive work has been conducted in several scholarly journals in electronic service quality (e-SQ) measurement, there has been no cross-functional review of these studies. The majority of the review studies focus on e-SQ assessment in the field of electronic retail. This paper explores and synthesizes e-SQ evaluation work across the various functional domains in the last two decades and maps critical methodological challenges. It further classifies the dimensions used by researchers in six broad categories for better comprehension.

Design/methodology/approach

To analyze and appreciate past e-SQ measurement research, a content assessment of the 50 most relevant research papers from various functional domains drawn from prestigious repositories was undertaken.

Findings

The results indicate shortcomings noticed in methodological issues in the e-SQ measurement research like research approaches, data analysis procedures, sampling methods, generation and purification of items, validity and reliability assessment, and dimensionality analysis. It further reveals that though e-SQ is multi-dimensional and context-specific, dimensions like content/information quality, website design, ease of use/usability, efficiency, security/and privacy, responsiveness, reliability, customer service, trust and fulfillment have been consistently cited in the reviewed studies across the various functional domains.

Originality/value

An assessment of 50 publications over the past 2 decades identifies key areas of concern in the existing research on e-SQ measurement in various functional domains for scholars and professionals. This study also provides a unique categorization of e-SQ dimensions used in various functional domains and has the potential to guide future research.

Details

International Journal of Quality & Reliability Management, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 0265-671X

Keywords

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