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The changes in social and cultural framework, and even more in the economic order, have pushed the education system and higher education in particular, into a new environment in which quality plays an important role. Thus, the purpose of the current study is to develop a multidimensional scale to measure service quality in higher education in the Indian context.

The study, descriptive, diagnostic, and causal in nature, has been conducted on students of higher education, particularly technical education in India. A questionnaire consisting of 26 items was developed to measure the service quality construct and its dimensions. Construct validation using exploratory factor analysis showed an interpretable latent structure consisting of seven dimensions.

It was observed that service quality in higher education setting comprises seven dimensions viz., input quality, curriculum, academic facilities, industry interaction, interaction quality, support facilities and non academic processes.

The study holds implications for institutes of technical education in India that seek to improve the quality of service that they provide. The scale developed can be used by practitioners as a diagnostic tool for identifying poor and/or excellent service performance.

While studies in quality management for education have been conducted, this study lays emphasis on the student as a customer of education, and proposes to develop a scale to measure their perception of service quality. The study is an attempt towards developing and empirically validating a measurement scale for service quality in higher education in the Indian context.

In a pursuit of excellence, it is increasingly important to identify customer values and demands. Service quality has been identified as one such demand. The purpose of this paper is to develop the model for service quality in higher education.

The proposed model is based on a current conceptualization of service quality, which suggests that service quality is a multidimensional and hierarchical construct.

In the proposed model, service quality consists of two primary dimensions which are defined by several corresponding sub‐dimensions: program quality: curriculum, industry interaction, input quality, academic facilities; and quality of life: non‐academic processes, support facilities, campus and interaction quality.

The paper has value for the institutes seeking to improve the quality of services they provide.

Purpose: FinTech is exploding all over the world. FinTech companies play a critical role in growing the banking industry. This chapter reviews existing literature on FinTech in banking, particularly its publication trend, journal productivity and impact, affiliated organisations and related themes.

Need for the Study: FinTech is reshaping the banking sector as banks move towards digitisation. FinTech has eliminated the need for paper, reduced the requirement for physical presence, and destroyed the necessity for cash. Several researchers have studied the features and benefits of FinTech technologies in the banking field. So, there is a need to analyse the available literature to identify the scope of further research in this field.

Methodology: For a comprehensive review, Bibliometric and content analysis of 77 open access green articles collected through the structured database of ‘Dimensions’ is done. These articles are published in the UGC Journal List Group II.

Findings: It is revealed that the execution of FinTech is continuously increasing in the banking sector, which has resulted in automation in various banking activities. The study revolves around technology and Banking, Financial Inclusion and Growth, and the Impact of the Financial Crisis on Banking and Peer-to-Peer (P2P) lending.

Practical Implications: The conclusions of this study can help academia and industry improve their understanding of FinTech in Banking, specifically its publication trend, geographical distribution, and creation of coherent themes. Careful analysis of collected articles will help to explore the scope of further research.

The purpose of this study is to investigate the interactive effects of a firm’s strategic sustainability orientation (SSO) and customer relationship capital (CRC) on sustainable product design practices (SPDP).

The authors examine the interactive effects of two firm resources, namely, SSO and CRC, as they relate to SPDP, using survey data from 132 manufacturers in Malaysia.

The findings show that the effect of SSO on SPDP is stronger when CRC is low, than otherwise. The authors also find that the interactive effects of the firm-level resources stated above are stronger when customer pressures (CPs) are higher than when they are low.

The authors contribute to the literature by studying the effects of firm-level strategic resources and their interactions as they relate to SPDP. An important limitation of this research is the usage of single-source data and single-period data.

Managerially, this research provides new insights into how organizations should respond to CPs while understanding the counterintuitive but disabling effects of customer relationship assets.

The findings are important to society because most of the environmental impact arising from the production, consumption and disposal of products is a direct consequence of decisions made at the product design stage and an unintended consequence of the marketing decision-making processes that underlie marketing strategy formulation that fails to recognize ecosystems impact as a standard decision influence.

To the best of the authors’ knowledge, this research is the first to study the effects of firm-level strategic resources and their interactions as they relate to SPDP.

This paper aims to extend employer branding research by investigating the role of job satisfaction and organizational identification as predictors of employee retention, and their mediating role between employer branding and employee retention.

A cross-sectional survey is utilized to gather data from 352 employees working in top Indian IT organizations. Hypotheses were tested and analyzed utilizing SPSS PROCESS Macro.

The results reveal that employer branding is positively related to job satisfaction, organizational identification and employee retention. The analysis provides support for the mediating effects on employee retention of employer branding through job satisfaction and organizational identification. In addition, results also provide support for the serial mediation model, where employer branding was found to influence employee retention via job satisfaction and organizational identification in a sequential manner. The findings connote that the enhanced positive identity of satisfied employees suppresses the intention to leave among IT professionals.

The findings suggest that an employer branding strategy with a unique set of attributes can provide a competitive advantage to employers in terms of high retention levels. The findings also highlight the fact that the importance of employer branding strategy should not be merely confined to the issue of retention as it can also play a vital role in enhancing job satisfaction and employees' identification level. Hence, managers are required to devise an employer branding strategy with a long-term intent that focuses on gaining a competitive advantage and aiming to improve relationships with employees.

The researchers have enriched social identity and social exchange theory as a theoretical paradigm, examining antecedents of employee retention. The study has extended the foregoing direct or simple mediation models by integrating social identity theory and job satisfaction in a sequential mediation model.

Several recent statistical analyses provide overwhelming evidence for substantial injustice in immigration court decisions. Writers also explored the data for evidence of bias. Several ended with recommendations for more legal training for judges and more professional appellate review. These recommendations assume that the problem is in the interpretation of the law and conduct of the trial. My own experience has been that there is actually a greater problem in the interpretation of facts, at several levels. Courts provide for translators, but merely verbal translation is not enough. Cultural translation is required. In this chapter I illustrate what cultural translation is with instances from five different asylum cases that I have been involved in as an expert witness. I conclude with recommendations to support better use of this kind of information.

India’s rapid economic growth has triggered a significant transformation in its logistics sector, fueled by comprehensive reforms and digital initiatives outlined in the National Logistics Policy. Smart warehouses, equipped with cutting-edge technologies such as IoT, AI and automation, have taken center stage in this evolution. They play a pivotal role in India’s digital journey, revolutionizing supply chains, reducing costs and boosting productivity. This AI-driven transformation, in alignment with the “Digital India” campaign, positions India as a global logistics leader poised for success in the industry 4.0 era. In this context, this study highlights the significance of smart warehouses and their enablers in the broader context of supply chain and logistics.

This paper utilized the ISM technique to suggest a multi-tiered model for smart warehouse ecosystem enablers in India. Enablers are also graphically categorized by their influence and dependence via MICMAC analysis.

The study not only identifies the 17 key enablers fostering a viable ecosystem for smart warehouses in India but also categorizes them as linkage, autonomous, dependent and independent enablers.

This research provides valuable insights for practitioners aiming to enhance technological infrastructure, reduce costs, minimize wastage and enhance productivity. Moreover, it addresses critical academic and research gaps contributing to the advancement of knowledge in this domain, thus paving the way forward for more research and learning in the field of smart warehouses.

The qualitative modeling is done by collecting experts' opinions using the ISM technique solicits substantial value to this research.

This paper seeks to add a historical perspective to the contemporary debate concerning women’s entrepreneurship in India. This study aims to explore the quantitative and qualitative research map of the research field of women’s entrepreneurship. Through this exploration, the authors aim to portray the historical and contemporary factors related to women’s entrepreneurship development in India, the problems and the opportunities. Future research opportunities are also identified based on the keyword analysis.

The study uses a systematic literature review to analyze the historical and theoretical perspectives of women’s entrepreneurship in India. The bibliometric analysis portrays the publication landscape, including the most popular journals, authors and countries, citation analysis and keyword analysis. The content analysis reveals the thematic clusters of the research field.

The content analysis of the management literature on women’s entrepreneurship reveals four primary clusters from the research: contextual embeddedness in women’s entrepreneurship, reasons for starting a business, microfinance interventions and empowerment of women entrepreneurs and marginalization dynamics for women entrepreneurs in India’s informal sector. The study also presents implications for policymakers and a women entrepreneurs’ development framework.

To the best of the author’s knowledge, this study is the first to comprehensively analyze the management literature on women’s entrepreneurship in India from a historical perspective. The study combines bibliometric mapping and content analysis for a holistic presentation of the research field of women’s entrepreneurship in India and future research opportunities.

A decade and a half after the debut of pervasive computing, a large number of prototypes, applications, and interaction interfaces have emerged. However, there is a lack of consensus about the best approaches to create such systems or how to evaluate them. To address these issues, this paper aims to develop a performance evaluation framework for pervasive computing systems.

Based on the authors' experience in the Gator Tech Smart House – an assistive environment for the elderly, they established a reference scenario that was used to guide the analysis of the large number of systems they studied. An extensive survey of the literature was conducted, and through a thorough analysis, the authors derived and arrived at a broad taxonomy that could form a basic framework for evaluating existing and future pervasive computing systems.

A taxonomy of pervasive systems is instrumental to their successful evaluation and assessment. The process of creating such taxonomy is cumbersome, and as pervasive systems evolve with new technological advances, such taxonomy is bound to change by way of refinement or extension. This paper found that a taxonomy for something so broad as pervasive systems is very complex. It overcomes the complexity by focusing the classifications on key aspects of pervasive systems, decided purely empirically and based on the authors own experience in a real‐life, large‐scale pervasive system project.

There are currently no methods or frameworks for comparing, classifying, or evaluating pervasive systems. The paper establishes a taxonomy – a first step toward a larger evaluation methodology. It also provides a wealth of information, derived from a survey of a broad collection of pervasive systems.

Expert systems are computer-based systems that mimic the logical processes of human experts or organizations to give advice in a specific domain of knowledge. Fuzzy expert systems use fuzzy logic to handle uncertainties generated by imprecise, incomplete and/or vague information. The purpose of this paper is to present a comprehensive review of the methods and applications in fuzzy expert systems.

The authors have carefully reviewed 281 journal publications and 149 conference proceedings published over the past 37 years since 1982. The authors grouped the journal publications and conference proceedings separately accordingly to the methods, application domains, tools and inference systems.

The authors have synthesized the findings and proposed useful suggestions for future research directions. The authors show that the most common use of fuzzy expert systems is in the medical field.

Fuzzy logic can be used to manage uncertainty in expert systems and solve problems that cannot be solved effectively with conventional methods. In this study, the authors present a comprehensive review of the methods and applications in fuzzy expert systems which could be useful for practicing managers developing expert systems under uncertainty.