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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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

This study aims to analyze the socio-ecological policy trade-off caused by technological innovations in the post-COVID-19 era. The study outcomes are utilized to design a comprehensive policy framework for attaining sustainable development goals (SDGs).

Study is done for 100 countries over 1991–2019. Second-generation estimation method is used. Innovation is measured by total factor productivity, environmental quality is measured by carbon dioxide (CO₂) emissions and social dimension is captured by unemployment.

Innovation–CO₂ emissions association is found to be inverted U-shaped and innovation–unemployment association is found to be U-shaped.

The study outcomes show the conflicting impact of technological innovation leading to policy trade-off. This dual impact of innovation is considered during policy recommendation.

The policy framework recommended in the study shows a way to address the objectives of SDG 8, 9 and 13 during post-COVID-19 period.

Policy recommendations in the study show a way to internalize the negative social externality exerted by innovation.

This study contributes to the literature by considering the policy trade-off caused by innovation and recommending an SDG-oriented policy framework for the post-COVID-19 era.

The research aims to qualitatively explore e-marketplace service quality (EMSQ) from the perspective of an industrial buyer as a sole decision-maker. It further intends to quantitatively examine its impact on the industrial buyer's perceived value (PV), overall satisfaction (SAT), and e-loyalty (ELOY) in the context of business-to-government (B2G) e-commerce.

The research used an exploratory sequential mixed-method design. A qualitative exploratory study of EMSQ was conducted using a Straussian grounded theory (GT) technique, followed by an explanatory quantitative study using PLS-SEM to evaluate causal links between various research variables.

In the area of e-services, the investigation found that the hierarchical structure of EMSQ encompasses six broadly applicable dimensions and one B2G context-specific dimension of the e-governance process quality. The study also reinforced previous research findings in the B2C and B2B e-commerce domains, highlighting that e-service quality positively impacts online buyer's PV, SAT and ELOY.

This research contributed to the area of e-service operations by developing and validating the EMSQ model in the B2G e-commerce settings. Further, it has opened up new research avenues in B2G e-commerce.

The findings from this research highlighted that e-service operations managers should focus on usability, technological concerns, product/vendor quality concerns, customer support reliability, along with effective e-governance, ordering and logistics processes for e-business success. It also provides policymakers with guidelines for making B2G e-marketplaces sustainable.

To the best of the author's knowledge, this is the first study employing the GT and PLS-SEM techniques to explore EMSQ from the viewpoint of industrial buyers in B2G e-commerce. The study contributed to prior literature by proposing and validating the hierarchical EMSQ model.

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.

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.

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.

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.

The purpose of this paper is to investigate the relationship between total productive maintenance (TPM) practices and operational performance (OP) in soft drinks manufacturing industry, Ethiopia.

In this study acceptability and implementation of five TPM practices (i.e., dependent factors: autonomous maintenance (AUT); safety, health and environment (SHE); education and training (EDT); focused improvement; and planned maintenance (PLM)) in soft drinks manufacturing industry have been elaborated to ascertain the benefits accrued as a result of successful TPM practices (i.e., independent variables) on OP (i.e., dependent variables). A self-administered survey seven-point Likert scale questionnaire was used for primary data collection. By using simple random sampling technique a total of 100 useable responses resulted in a 66.66 per cent response rate. Descriptive (mean, standard deviation) and inferential statistics (factor analysis, correlation, simple and multiple regression analysis) analysis were performed using Statistical Package for Social Sciences (SPSS) software (version-28) to identify the relationship and effect of TPM practices on OP. Five hypotheses were developed and tested.

Results show that four of the TPM practices were positively and significantly correlated with OP. Aggregate TPM shows positive and significant correlation with OP. Four hypotheses results revealed that the AUT; SHE; EDT and PLM practices have positive and significant relationship with OP and significantly improve OP. The results also show that the TPM practices have positive and significant relationship with OP and significantly improve cost effectiveness, product quality, on-time delivery and volume flexibility.

The benefits gained by TPM practices in selected soft drinks manufacturing industry have been highlighted, that could be genuine source of motivation to other companies to go in for TPM program. This research contributes to the literature by examining the contingency of various TPM enabling factors in the context of the Ethiopian soft drinks manufacturing sector, and it, therefore, provides direction to increase the success rate of TPM implementation. Study offers academics and practitioners a better understanding of the relationship and effect of the TPM practices on the OPs. Thus, practitioners will be able to make better and more effective decisions about the implementation of TPM practices for better OP results.

The relationship between the five factors TPM practices and OP has not yet been studied or reported in the case of soft drink manufacturing industry. The questionnaire manner and items developed, factor considered in this study, sampling method, deeply statistical data analysis techniques used, soft drink manufacturing industry, developing country like Ethiopia make this study unique and revealed the gap identification in this area. The study has contributed to the TPM literature with a better understanding of the five TPM practices and their association with a soft drink manufacturing industry OP that will provide valuable knowledge to top-management of manufacturing companies, to refine their current TPM practices and subsequently improve OP.

The aim of this study was the development and validation (D&V) of an assessment tool to measure administrators' attitudes towards the ‘Apprenticeship Embedded Degree Program (AEDP)’ in higher education institutions (HEIs).

A rigorous empirical method was followed encompassing four D&V phases: literature review, theoretical or face validation, validation with possible respondents or semantic validation and statistical validation. A pilot study was conducted among 150 randomly selected administrators from 50 different HEIs in India. The collected data were analyzed for statistical validation using exploratory factor analysis followed by confirmatory factor analysis.

The final version of the 21-item three-dimensional scale was found effective having significant degrees of reliability and validity. Exploratory factor analysis endorsed the factor extractions and data adequacy. The average variance extracted (AVE) for the three constructs (0.59, 0.70 and 0.66, respectively) were higher than the threshold value of 0.5, authorizing the convergent validity. The Cronbach alpha values (0.79, 0.81 and 0.77) were higher than the threshold value of 0.70, endorsing factors as reliable. Confirmatory factor analysis ascertained the multi-dimensionality of the scale and model fit having passable convergent validity. Discriminant validity (DV) was determined using the Fornell-Larcker criterion.

The newly developed “Administrators’ Attitude towards AEDP Scale” will serve as a valid psychometric tool for future research accosting AEDP implementation. It could be administered as an electronic tool as well, subject to potential adjustments reducing the identified ceiling effects and floor effects.

The scale is a unique addition to the allied literature based on an original empirical survey finding conducted in India.