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The present study examines the fluctuations in Socioeconomic and demographic (SED) factors and the prevalence of Non-Communicable Diseases (NCDs) across clusters of states in India. Further, it attempts to analyze the extent to which the SED determinants can serve as predictive indicators for the prevalence of NCDs.

The study uses three rounds of unit-level National Sample Survey self-reported morbidity data for the analysis. A machine learning model was constructed to predict the prevalence of NCDs based on SED characteristics. In addition, probit regression was adopted to identify the relevant SED variables across the cluster of states that significantly impact disease prevalence.

Overall, the study finds that the disease prevalence can be reasonably predicted with a given set of SED characteristics. Also, it highlights age as the most important factor across a cluster of states in understanding the distribution of disease prevalence, followed by income, education, and marital status. Understanding these variations is essential for policymakers and public health officials to develop targeted strategies that address each state’s unique challenges and opportunities.

The study complements the existing literature on the interplay of SEDs with the prevalence of NCDs across diverse state-level dynamics. Its predictive analysis of NCD distribution through SED factors adds valuable depth to our understanding, making a notable contribution to the field.

The purpose of this paper is to empirically validate a model of luxury fashion consumption that integrates the antecedents and consequences of luxury buying in a developing nation context.

The hypotheses developed in the conceptual model are tested using survey data collected through mall intercept survey of real consumers (with sample sizes 382 and 544). Factor analysis and structural equation modeling are used to analyze the data.

Major results suggest a significant impact of consumer’s local/global orientation on the motivations and associations behind the luxury buying. Motivations and associations are found to influence luxury consumption, which in turn is found to have a positive effect on post-purchase thoughts/feelings. Social influence is found to have a moderating impact on the effects of motivations and associations on luxury consumption, respectively.

The study is restricted to a developing nation context. However, this is one of the novel attempts to validate a comprehensive model of luxury consumption that could be replicated in other contexts.

The findings provide guidelines for a luxury marketer on the factors to consider and monitor while marketing a luxury fashion brand.

The present study adds a new perspective to the literature on luxury buying behavior with its empirically validated comprehensive model.

With increasing use of explicit comparative advertisement to get share of consumers’ mind and influence their purchase decision in western context, the same is now used extensively in emerging markets like India. However, there has not been sufficient research to understand the effectiveness of explicit comparative advertisement in low and high-involvement product categories. Therefore, the purpose of this paper is to attempt to understand the effectiveness of explicit comparative advertising on consumers’ attitude and purchase intention (PI) towards high and low-involvement products.

The study carried out experimental treatments with 2 × 2 factorial design among 200 Indian young consumers who were in the age group 18-25. The independent variables were product categories and type of advertising (comparative and non-comparative) and dependent variables were consumer attitude and PIs.

It was found that the comparative form of advertisement developed favourable response towards the advertisement, rather than towards the brand or PI.

The study found that comparative advertising is effective for high as well as low-involvement product category in changing the consumer’s attitude towards the advertisement. The research has used print media for conducting the experiment.

It can be inferred that comparisons should be supplemented with additional information in the form of the unique features and associated emotions and feeling of the product in order to develop favourable attitude towards the brand and PI.

Comparative advertising is a growing domain and there has been very little contribution by the researchers specially on high and low-involvement product categories.

The extant literature demands more insights into the elements for political branding in India. Thus, this paper aims to explore political branding in terms of the influences of political branding.

The context is the young voters in an emerging country, India. Qualitative research was undertaken, and a total of 17 focus group discussions were conducted in the leading Indian cities.

This study found that the Bhartiya Janata Party (BJP) developed a strong governance and connection with the people. This approach developed a comprehensive brand among the young voters, who emphasized on the proof of the performance by the party. During pre or post-election, the BJP and other political parties need to develop a comprehensive political branding plan to connect with the voters.

This study was focused on the external perspective of political branding. Future research can focus on the internal perspective in terms of party members and politicians. This study has focused on India as a specific case. Future studies can focus on a cross-cultural and cross-national level.

The framework developed can be used by political parties and leaders to develop their political brand. The study’s framework can be used in a systematic and sequential format to verify the strength of their political branding exercise.

This study focuses on the post-election scenario. Secondly, it focuses on the non-Western context. Also, the study represents a unique combination of the best theories and observations from political marketing and digital leadership.

The study aims to draw on existing knowledge and investigates how luxury is perceived in a developing nation with economic and cultural diversity. The present study aims to develop a conceptual framework to understand luxury buying behavior in a developing nation context.

The study utilizes qualitative research (focus group discussions) with 72 luxury consumers (and partly with practitioners) of apparel and accessories in two major metro cities and two major non-metro cities of India.

A framework of luxury buying behavior was constructed with cultural background, antecedents, buying process and post-purchase consequences of luxury buying behavior as its sub-constructs. Gender was identified as a moderating variable between antecedents of purchase and purchase behavior.

The most important contribution of the present study is the creation of a comprehensive framework of luxury buying behavior within a developing nation context and a set of testable propositions to further validate using quantitative research.

Provides the manager with a workable model of luxury buying behavior that he/she could use to generate the right consumer responses.

The present study is the first of its kind which integrates cultural backdrop, antecedents and consequences of luxury consumption in the context of a developing nation.

The Government of India’s National Policy of Education 2020 stipulates that in the following five years all stand-alone teacher education colleges will be required to convert to multidisciplinary higher education institutions. This calls for a complete overhaul of the country’s vast, diverse, and age-old system of teacher preparation. Evidence-based policy implementation is thus the need of the hour. This chapter attempts to aid the process by presenting insights from a comparative education research on pre-service teacher education (PSTE) of secondary school teachers at stand-alone teacher education institutions (TEIs) in the Indian city of Mumbai and university-based teacher education in the Chinese city of Hong Kong. Documentary sources, field visits, and 57 interviews form the basis of the findings. The dimensions for comparison include academic freedom and autonomy; pathways to PSTE; linkages of teacher education providers; and role and working conditions of teacher educators. The chapter deduces the core differences in teacher education at stand-alone TEIs vis-à-vis that at a university and draws out implications of shutting down the former. It concludes by laying down a road map for the effective universitization of teacher education in India that will result in genuinely improving teacher quality.

This study aims to address the following research questions: (1) What are the theoretical frameworks and areas of study that influence the development of service ecosystems? and (2) To what extent does a service ecosystem align with the theoretical concepts presented in other research contexts within the study areas, thereby transforming the fundamental structure of the core concept?

We conducted a bibliometric systematic literature review, analyzing 280 papers from a sample of 52 journals listed in the Association of Business Schools (ABS). The review covered the period between 2004 and 2022, and we utilized co-citation analysis, multi-dimensional scaling analysis and hierarchical cluster analysis (HCA) on a total of 2,614 citations.

This study employs co-citation analysis to identify the conceptual structure of the service ecosystem based on highly cited papers. Additionally, we utilize multidimensional scaling (MDS) to uncover key approaches driving service ecosystem research. Through HCA and network analysis, we examine the research scope and its development, emphasizing theory-driven approaches. By combining quantitative and qualitative analysis, we explore the interrelationships between scope, domain and evolution. This comprehensive analysis allows us to delve deeply into the study of service ecosystems. To broaden the research scope, we propose a conceptual framework for comparing the main components of a service ecosystem. The current paper clarifies the service ecosystem's intellectual structure, including service performance, humanistic approach, sustainable innovations and service reflexivity and reformation and proposes a prospective research framework for specialists and researchers by introducing a metaverse service ecosystem.

For the first time, the findings of this study shed light on processes that facilitate the flow of technologies, business models and markets through social structures, ultimately contributing to social change. In service-based systems, the development and application of a more humanistic approach within and surrounding social service ecosystems are crucial as they evolve. Therefore, adopting a dynamic and multifaceted approach offers valuable insights into the drivers of value creation.

Road freight transportation companies need to take advantage of information and communication technologies to develop capabilities. This study proposes a framework to guide road freight transportation companies to achieve data visibility in their operations by developing such capabilities. By proposing this framework, this research contributes to literature and practice, highlighting the capabilities and the respective supporting technologies for improved data visibility in road freight transportation.

A mixed-method approach is used to develop the framework, considering three methodological steps. In phase 1, the capabilities are identified in the literature and validated by experts. In phase 2, an empirical assessment of cause–effect relationships between capabilities is performed using a multiple case study and DEMATEL. Lastly, in phase 3, an analysis of the cause model and significant associations is conducted to enable the development of the framework. In addition, the proposed framework was validated by the experts interviewed.

The results provide a framework that explains the link between the technology-enabled data visibility capabilities in road freight transportation operations. In addition, a pathway was established that road freight transportation companies could follow to achieve data visibility in their operations by developing such capabilities.

This work develops the first framework that provides a path for data visibility in road freight transportation operations from adopting certain technologies. The insights are compelling for researchers and practitioners to optimize the decision-making process for adopting technologies and developing capabilities related to data visibility.

This article presents a review of the existing state-of-the-art literature concerning Supply Chain Management 4.0 (SCM 4.0) and identifies and evaluates the relationship between digital technologies and Supply Chain Management.

A literature review of state-of-the-art publications in the subject field and a bibliometric analysis were conducted.

The paper identifies the impact of novel technologies on the different supply chain processes. Furthermore, the paper develops a roadmap framework for future research and practice.

The proposed work is useful for both academics and practitioners as it outlines the pillar components for every supply chain transformation. It also proposes a range of research questions that can be used as a base to guide the future research direction of the field.

This paper presents a novel and original literature review-based study on SCM4.0 as no comprehensive review is available where bibliometric analysis, motivations, barriers and technologies' impact on different SC processes have been considered.

Agriculture insurance is the panacea for the farming community. Many policy interventions were implemented for stimulating agriculture insurance access to farmers in India. However, access to agriculture insurance constantly remained one of the major challenges to Indian policy planners. The goal of the present paper is to explore current policy interventions in the area of agriculture insurance in India.

The present paper reviews and analyzes the evidence literature through a content analysis method on development and performance analysis perspective of existing agriculture insurance schemes in India.

Agriculture insurance is a significant risk management policy, but this is not easily reachable to the majority of farmers in India. The government of India introduces a novel agriculture scheme every decade, but every crop insurance scheme was inconsistent and ineffective owing to operational defects. Agriculture insurance in India is still developing in terms of coverage, scope, and exposure, but farmers' dissatisfaction about agriculture insurance turned out to be a negative word of mouth. Insurance illiteracy and farmers' preference for agriculture relief payments are the main reasons for limited access to agriculture insurance. The current crop insurance schemes are improperly operated because of implementation issues at the state level.

This paper will be useful for researchers and academicians to analyze the past and present status of crop insurance in India.

The paper is the unique work of the authors as it has attempted to present India's journey with agriculture insurance. An effort is made in the present study to provide a comprehensive and holistic developmental and performance analysis perspective of agriculture insurance in India.