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This study aims to simultaneously examine the interrelated influence of antecedents involved in developing fast-food restaurant customer loyalty. A conceptual model which incorporates service quality attributes, price fairness, customer satisfaction, brand image and trust and the resultant effect on customer loyalty is proposed to better understand how fast-food restaurant customer loyalty can be optimized.

A quantitative research methodology adopting structural equation modelling was used to understand the interrelatedness and influence of antecedents involved in optimizing fast-food restaurant customer loyalty.

The findings indicate that service quality attributes (food quality and employee service quality) and price fairness significantly influence customer satisfaction and brand image, while physical environment quality has no significant influence. Additionally, customer satisfaction was found to influence brand trust and customer loyalty, while the brand image does not influence customer satisfaction but does influence brand trust and customer loyalty.

Understanding the interrelatedness and influence of antecedents involved in developing fast-food restaurant customer loyalty would enable academics and practitioners to formulate honed marketing and operational strategies to optimize customer loyalty and fast-food restaurant profitability.

This research addresses the paucity of research and marketing gaps regarding the interrelatedness and influence of antecedents involved in optimizing fast-food restaurant customer loyalty in Small Island Developing States (SIDS).

Internet of Things (IoT) involves connecting physical objects to the internet to provide opportunities to build smart systems or applications. IoT paradigm assumes many devices connected over a conventional intent network. These devices usually have restricted resources, so moving part of the service implementation to a cloud infrastructure is a prominent solution. This study aims to proposes in this project human voice as a potential interface for one or more devices in IoT ecosystem enabling issuing commands and receiving information.

System design is the process of defining the elements of a system such as the architecture, modules and components, the different interfaces of those components and the data that goes through that system. It is meant to satisfy specific needs and requirements of a business or organization through the engineering of a coherent and well-running system.

The main aim of this proposed work is to develop a ticket booking application that performs all the operations by speech recognition. Hence, visually impaired people can make use of this application. There are several applications that help visually impaired people. This application adds extra features to those available soft wares. Using this, visually impaired people can book the tickets without the help of personal assistants. For future research, this study hopes to extend this application to perform various other operations that will help visually impaired people to do their daily activities like normal people without the help of personal assistants. For example, making a phone call, sending text messages, booking a taxi, easy navigation, etc.

System design involves the identification of classes, their relationship as well as their collaboration. In objector, classes are divided into entity classes and control classes.

The purpose of this study is to explore the relationship between educational qualification and entrepreneurial intent (EI) of the students of private and government universities located in the state of Odisha, India.

The study is based on the responses of 485 students of selected private and government universities in Odisha, India. A multistage random sampling approach has been adopted to collect the data and was tested for the role of different elements relating to education in explaining EI.

The findings suggest that the private universities are superior to the government universities in their Quality of Entrepreneurship Education (QEE), students' Exposure to Entrepreneurship Education (EEE) and their EI. Business Management and Commerce students have more inclination toward entrepreneurship compared to the students of professional streams like Law, Pharmacy, Engineering etc. Self-employed parents, EEE and Extra-Curricular Activities (ECA) are the significant determinants of EI among the university students; whereas, Academic Achievement (AA) and Socio-economic Status (SES) do not significantly explain their EI. Finally, gender also plays a vital role where male students show higher EI compared to their female counterparts.

The research provides an understanding of the significance of entrepreneurship education along with ECA in developing EI among government and private university students.

The paper not only empirically presents the major differences between private and government-owned universities while dealing with entrepreneurship development at the university level but also highlights the impact of demographic and socio-economic characteristics of the students on their EI.

The purpose of this study is to examine the fiscal sustainability issue by dividing the fiscal deficit into high and low regimes using the quarterly data from 1997: Q1 to 2013: Q3. Further, we obtain the optimum level of public debt at which fiscal sustainability can be achieved.

This study uses the Markov Switching-Vector Error Correction Model (MS-VECM) for examining fiscal sustainability and threshold regression model to obtain the optimum level of debt.

The results derived from MS-VECM reveal the evidence in favor of fiscal sustainability during low fiscal deficit periods. Similarly, using a threshold regression model, the optimum public debt as a percentage to GDP seems to be around 21 per cent on a quarterly basis, beyond this level, public debt hurts economic growth.

From the policy front, the government of India should cut down the fiscal deficit only if debt reaches beyond a threshold level.

Noting that the vast literature has focused on examining the fiscal sustainability in India, the novelty of this study is to examine the fiscal sustainability by considering high and low deficits regimes using a non-linear approach.

The present study aims to examine the use of open access (OA) scholarly communication in India and investigate the factors affecting the adoption and use of OA scholarly communication among researchers.

The study adopted a quantitative research approach using a survey method. Science Citation Index Expanded (SCI-EXPANDED) of Web of Science database was selected as a source for identifying potential researchers and researchers' contact details. A web-based questionnaire was designed using Google Forms, and a link to the questionnaire was sent by email to 4,237 researchers belonging to Science and Technology. Unified theory of acceptance and use of technology (UTAUT) is the primary basis for formulating the present study's conceptual model. Hierarchical multiple regression (HMR) was applied for identifying the factors that influence the adoption and use of OA scholarly communication.

The study found that researchers have limited knowledge of different OA concepts, initiatives and resources, resulting in a deficient level of participation in OA publishing. The HMR analysis authenticates that attitude, facilitating conditions, Internet usage self-efficacy, article processing charge (APC) and researchers' working experience significantly influence the adoption and use of OA scholarly communication. Based on the findings, the study proposed a validated model to investigate the adoption and use of OA scholarly communication in different institutions, research disciplines and developing countries with similar conditions.

The findings have several practical and policy implications for improving OA publishing in India, formulating OA policies and providing directions for further research.

This is the first study focusing on adopting and using OA scholarly communication in India. Findings may be helpful in planning and implementing OA initiatives. The influencing factors and the relative importance identified in the present study offered empirical evidence to demonstrate the researchers' attitudes and perceptions for adopting and using OA scholarly communication.

The peer review history for this article is available at: https://publons.com/publon/10.1108/OIR-05-2021-0265.

Total Productive Maintenance (TPM) could act as a practical approach to offer sustainability deliverables in manufacturing firms aligning with the natural resource-based view (NRBV) theory's strategic capabilities: pollution prevention, product stewardship and sustainable development. Also, the emergence of Blockchain Technology (BCT) and Circular Economy (CE) are proven to deliver sustainable outcomes in the past literature. Therefore, the present research examines the relationship between BCT and CE and TPM's direct and mediation effect through the lens of NRBV theory.

The current study proposes a conceptual framework to examine the relationship between BCT, CE and TPM and validates the framework through the Partial Least Squares Structural Equation Modeling. Responses from 316 Indian manufacturing firms were collected to conduct the analysis.

The investigation outcomes indicate that BCT positively influences CE and TPM and that TPM has a significant positive impact on CE under the premises of NRBV theory. The results also suggest that TPM partially mediates the relationship between BCT and CE.

This research fills a gap in the literature by investigating the effect of BCT and TPM on CE within the framework of the NRBV theory. It explores the link between BCT, TPM and CE under the NRBV theory's strategic capabilities and TPM mediation.

The positive influence of TPM and BCT on CE could initiate the amalgamation of BCT-TPM, improving the longevity of production equipment and products and speeding up the implementation of CE practices.

This research fills a gap in the literature by investigating the effect of BCT and TPM on CE within the framework of the NRBV theory. It explores the link between BCT, TPM and CE under the NRBV theory's strategic capabilities along with TPM mediation.

The purpose of this paper is to test a model of service quality of public land transport services, especially paratransit services.

This study used quantitative approach. Data were collected through a survey method using questionnaire. The respondents of the study are 880 passengers of paratransit services in Indonesia. Exploratory factor analysis and confirmatory factor analysis were performed in order to identify the dimensions of service quality and test the convergent and discriminant validity of the dimensions. Cronbach’s α analysis was carried out to test the reliability of the dimensions. In addition, criterion-based validity and the stability of the service quality model were also tested.

A model of service quality of public land transport, namely P-TRANSQUAL, was tested. P-TRANSQUAL consists of four dimensions, which are comfort, tangible, personnel, and reliability. The model has been proven to have good validity, reliability, and stability for measuring service quality of paratransit services in Indonesia.

This research was carried out in a single developing country, namely Indonesia. Hence, the stability of the model needs to be tested in different cultures.

Public transport managers can use P-TRANSQUAL to monitor, measure, and improve the service quality of the public transport they manage.

This paper has tested a new model of service quality for public transport services, especially paratransit services.