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The purpose of this paper is to investigate the influencing factors of generation Z (Gen Z) consumers’ revisit intentions to robotic restaurants in the post-pandemic times.

Using a sample of Gen Z consumers with dining experiences in an Indian restaurant using service robots, the study empirically tests a research framework based on stimulus–organism–response theory.

The study explains how Gen Z consumer’s perceptions of functional attributes (i.e. perceived usefulness and perceived ease of use), socio-emotional attribute (i.e. perceived safety) and relational attribute (i.e. trust) shape their attitude, which in turn leads to their evaluations of performance outcomes and intention to revisit the robotic restaurants. The findings also indicate that perceived risk reduction of viral infection moderates the impact of performance outcomes on revisit intention.

Due to the outbreak of COVID-19 pandemic, the changing preferences of consumers have resulted in an increase in demand for restaurants offering robotic services. To support the long-term viability of service robots in restaurant services, the current study investigates what elements of service robots can determine consumers’ intentions to revisit the robotic restaurants during post-pandemic times.

The purpose of this paper is to evaluate the performance of 46 pharmacy retail stores and to analyze the impact of non‐discretionary variables on the efficiency of the stores through dividing the decision making units (DMUs) into different categories.

Basic CCR model is being used to evaluate the efficiency of each store. First, the DMUs are divided into three different categories namely severe, normal and advantageous depending upon the extent of competition that they are facing. Second, basic CCR, Phases I and II models are applied to evaluate efficiency, reference set and projections of DMUs within the categories. Lastly, all DMUs are evaluated together using the same models.

For situations that are not under the direct control of the management, DEA with categorical DMUs is an appropriate approach for efficiency evaluation because through this approach one can do justice to each store which is a part of the study.

Inclusion of people factor such as customer satisfaction or employee satisfaction can lead to a better analysis and therefore, to a better practical approach.

This study provides a framework for performance evaluation when both discretionary and non‐discretionary variables are to be taken into consideration.

The current study employs a modified framework of the unified theory of acceptance and use of technology (UTAUT) to predict students' intention to adopt online learning in India. The moderating role of openness to change in influencing the proposed relationships is also assessed.

A structured questionnaire was emailed to 650 students enrolled in various courses in public and private universities in India. In total 424 responses were considered for analysis using structural equation modeling (SEM). Moderation analysis was carried out with multi-group SEM and chi-square difference tests.

The results reveal that there is a significant impact of performance expectancy (PE), effort expectancy (EE), social influence (SI), facilitating conditions (FS) and perceived security (PS) on students' intention to adopt online learning. Further, openness to change moderates the impact of PE, FS and PS on intention of students to opt for online learning.

This study is one of the initial efforts to examine the factors affecting students' intention to adopt online learning at the onset of third wave of coronavirus disease 2019 (COVID-19) pandemic in India. Besides the factors of the UTAUT model, this study highlights the importance of PS and openness to change in influencing students' intention to opt for online learning.

This study aims to determine the factors that influence payment Fintech application adoption intention among low-income groups in India.

This study used an expanded technology acceptance model (TAM; covering perceived usefulness, perceived ease of use, social influence, perceived risk and financial literacy), which was tested using 310 low-income respondents in Northern India. The PLS-SEM approach was used to analyse the data.

The results indicate that perceived usefulness, perceived ease of use, social influence and financial literacy all has a direct positive relationship with the intention to use Fintech. Furthermore, financial literacy was found to be the moderator in moderating the relationship between social influence and intention to use the Fintech app.

This study ameliorates existing research and deepens the authors’ understanding of users’ intentions to use Fintech among low-income groups. The findings of the study help both policymakers and academicians in designing effective strategies for promoting Fintech usage.

This study examines the factors that determine Fintech application adoption, particularly among low-income individuals. The TAM framework was expanded to include perceived risk and financial literacy as two of the factors influencing Fintech adoption. Furthermore, the moderating role of financial literacy on intention to use Fintech app was considered in this study in the context of a developing country such as India.

The paper identifies the influence of socio-economic factors and livelihood training in stimulating micro-entrepreneurship among women self-help group (SHG) members.

The study is based on a sample of 416 women SHG members drawn from all the four districts of Sikkim using cluster sampling procedure. A multivariate binary logistic model is used to find the impact of socio-economic factors, and a Poisson regression has been used to find the impact of training on fostering micro-entrepreneurship. The result is validated using a propensity score matching approach which corrects for the potential self-selection bias in the sample. Subsequently, a covariate adjustment estimator verifies the robustness of the approach.

The study finds that “size of landownership”, “amount of loan borrowed”, “member's age”, “number of earning and dependent members”, “number of years of SHG enrolment” as well as the “district to which the member belongs to” have a statistically significant influence on the graduation of SHG members to micro-entrepreneurs. Furthermore, it is found that members attending the livelihood training programmes had a significantly higher number of microenterprises.

The study differentiates itself by providing empirical evidence on how socio-economic factors and livelihood training stimulate micro-entrepreneurship among SHG women of Sikkim, which has so far remained unexplored. Moreover, advanced econometric method has been used to eliminate the possible self-selection bias involved with training participation and thereby provides reliable and robust results.

The peer review history for this article is available at: https://publons.com/publon/10.1108/IJSE-01-2023-0070

The online learning environment is a function of dynamic market forces constantly restructuring the e-learning landscape’s complete ecosystemcape. This study aims to propose an e-learning framework by integrating the Technology Acceptance Model (TAM) and Theory of Planned Behaviour (TPB) to predict students’ Online Learning Readiness and Behaviour.

A structured questionnaire was used to collect data from 406 students through a survey. The data were analysed using two-stage structural equation modelling and artificial neural network (ANN).

The study’s results revealed that perceived ubiquity (PUB) positively influences perceived ease of use, usefulness and attitude. Similarly, perceived mobility significantly influences perceived ease of use and attitude. Furthermore, attitude, subjective norms, perceived behavioural control and perceived usefulness significantly influence readiness to learn online, which further influences students’ online learning behaviour. The root-mean-square error (RMSE) values obtained from the ANN analysis indicate the models’ predictive solid accuracy.

The study contributes to the existing literature by proposing an Online Learning Behaviour Model by integrating the TAM and the TPB frameworks in association with two additional constructs, PUB and Perceived Mobility. Secondly, this study proposes a unique triangulation framework of recommendations for learners, educators and policymakers.

The role of mindfulness in influencing green behaviors has been recognized in literature though it has not been explored sufficiently in the context of organic food. This study makes an attempt to explore the role of mindfulness in influencing young consumers' purchase intention (PI) toward organic food in India.

A total of 348 useable responses were collected through an intercept survey at organic food stores using a purposive sampling approach. Data analysis was carried out through structural equation modeling.

Mindfulness emerged as a significant predictor of behavioral intention. Further, the specific indirect effects of mindfulness through attitude, perceived behavioral control (PBC), drive for environmental responsibility (DER) and label reference willingness (LRW) were also significant.

This research is one of the initial efforts to link mindfulness with PI for organic food. The results could help the government and marketers tap onto the potential of mindfulness with regard to environment-friendly products and frame appropriate strategies for stimulating the demand for organic food in India