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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 paper is to compare ten Open Science Portals in India. The comparison is made using the three primary parameters of accessibility, search engine optimization (SEO) and performance. This study aims to investigate whether the ten selected web portals efficiently meet the web accessibility requirements of the large population at an acceptable rate.

This study was performed by using the Siteimprove web tool to collect information about Web Content Accessibility Guidelines (WCAG) 2.0. The online accessibility tools provided by Siteimprove make it simple to comply with and follow the global WCAG at all compliance levels. This study selected ten web portals taking into account the open accessibility and the web portals offered by the Indian Government to promote research and innovation.

The findings of this research will be beneficial for the government website designers, managers and administrators to assess their website’s level of compliance with accepted accessibility standards so they can make tactical choices to increase accessibility.

This study highlights the portals’ robust characteristic features and downsides, where improvement may be required. It also focused on how these portals help in promoting citizen science and public understanding of science nationwide.

Introduction: The world is passing through a technology explosion phase where one technology is being replaced by another very quickly. Emerging technologies play more important roles in the insurance sector directly or indirectly. These technologies have a high potential to change the insurance paradigm.

Purpose: In this chapter, we discuss emerging technologies such as artificial intelligence (AI), big data, blockchain, the internet of things (IoT), mobile technology, predictive analytics, social media, telematics, chatbots, low codes, and drones in the context of the insurance industry.

Methodology: To carry out our analysis, we searched for data using the keywords for each technology from the Web of Science (WoS) coral database. Certain inclusion and exclusion criteria were followed to select the articles for further analysis. R-studio was used for the data analysis and visualisation.

Findings: It was found that the highest number of research articles published are related to big data, followed by AI and social media. The first article on AI in insurance appeared in 1975. Social media is the highest cited new technology, whereas the low codes are the undiscovered paradigm for the insurance sector with no published research. Research on the impact of chatbots, drones, and mobile technology in the insurance industry is still at a nascent stage. We also noticed that the United States is leading the research on emerging technologies in the insurance sector.

Implications: This chapter audits the emerging technologies in the insurance sector and identifies technological areas with the highest, least, or no research, dominant journals, authors, and countries. This holistic overview empowers managers and academicians to decide the future course of action.

The purpose of this study is to explore the machining characteristics of electrical discharge machining (EDM) when a tool is fabricated using powder metallurgy. Because pure Cu tools obtained using conventional machining pose problems of high tool wear rate, tool oxidation causes loss of characteristics in tool shape.

The research investigation carried out experiments planned through Taguchi’s robust design of experiments and used analysis of variance (ANOVA) to carry out statistical analysis.

It has been found that copper and chromium electrodes give less metal removal rate as compared to the pure Cu tool. Analytical outcomes of ANOVA demonstrated that MRR is notably affected by the variable’s polarity, peak current, pulse on time and electrode type in the machining of EN9 steel with EDM, whereas the variables pulse on time, gap voltage and electrode type have a significant influence on EWR. Furthermore, the process also showed that the use of powder metallurgy tool effectively reduces the value of SR of the machined surface as well as the tool wear rate. The investigation exhibited the possibility of the use of powder metallurgy electrodes to upgrade the machining efficiency of EDM process.

There is no major limitation or implication of this study. However, the composition of the powders used in powder metallurgy for the fabrication of tools needs to be precisely controlled with careful control of process variables during subsequent fabrication of electrodes.

To the best of the authors’ knowledge, this is the first study that investigates the effectiveness of copper and chromium electrodes/tools fabricated by means of powder metallurgy in EDM of EN9 steel. The effectiveness of the tool is assessed in terms of productivity, as well as accuracy measures of MRR and surface roughness of the components in EDM machining.

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.

Blockchain technology has brought about significant transformation among organizations worldwide. This study aimed to explore the effects of organizational and technological factors on blockchain technology adoption (BTA) and financial performance (FP) in Pakistan.

This is a co-relational study which used the cross-sectional data. We gathered the data from the managers of Pakistan’s small and medium-sized enterprises (SMEs), which functioned their industries with blockchain technology. We applied convenience sampling to identify the respondents. Finally, we based this study’s findings on 274 valid cases.

We used structural equation modeling (SEM) in this study, to exert a positive and significant impact on organizational factors such as organizational innovativeness (OI), organizational learning capability (OLC), top management support (TMS) and organizational work climate (OWC) on BTA. In addition, the technological factors, such as complexity (CTY), technology readiness (TR), compatibility (CBTY) and technology capability (TC), have a positive and significant effect on BTA. Finally, this study’s findings show that BTA positively and significantly impacts FP.

This study’s findings will help policymakers and planners to design policies to adopt other blockchain technologies to improve SMEs’ operations. Moreover, this study’s findings will inspire policymakers and planners to actively seek new ideas, knowledge and skills through acquiring new knowledge to assist with their IT-related decisions.

This study empirically confirms the role of organizational and technology factors toward BTA and FP among Pakistan's SME managers.