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This study aims to empirically examine the research related to work values published in the two major databases Scopus and Web of Science.

This paper opted for a bibliometric study using the R (Bibliometric R package). The bibliometric analysis was conducted on 498 papers after removing duplicates published between 1964 and 2022.

This study finds that the number of articles and citations is limited but growing. Journal of Applied Psychology was regarded as the most influential journal with maximum citations. Maximum citations and publications came from the USA. The study revealed that maximum collaborations were done between authors located in the USA and China.

The researcher used only two databases in the study, so papers included in other databases are left, which can affect the study results.

This research may be beneficial for both human resource practitioners and researchers because it identifies the research gaps and future research needs in the field of work values. Besides, this paper will help the researchers to understand the publishing trends in the subject area.

This research incorporates bibliometric analysis for a critical analysis of Work Value literature. This research contributes to the existing literature and assists fellow researchers in future studies.

Purpose: This chapter aims to review and brief the role of Strategic Corporate Social Responsibility (SCSR) in the tourism industry, targeting its impact on the performance and sustainability of the tourism industry. This chapter seeks to provide insights into how SCSR can lead to a positive transformation and competitive advantage.

Methodology: The chapter incorporates a brief literature review to examine current trends, hurdles, and benchmarking in the implementation of SCSR in the tourism industry. Comparative analysis and recent literature are used to extract valuable results and implications for effective tourism management.

Research limitations: The current chapter has limited potential biases in the selection of literature and the evolving nature of CSR in the tourism sector. Future research is required to check the developments in tourism and CSR.

Results: This chapter shed light on the complex association between the performance of CSR and business in the tourism industry, highlighting the importance of governance qualities and new initiatives for achieving financial sustainability.

Originality/value: This chapter adds valuable insights to the existing literature by shedding light on the most recent literature on SCSR in the tourism industry and provides inputs for setups looking for sustainability.

The paper aims to explore the influence of cybersecurity on the semantic orientation of the sports consumers. Focusing on both sport and esports, this study finds the social media factors contributing in the sentiment formation and commenting behavior on Twitter and proposes a scheme for attitude modulation through identification of highly engaged nano-influencers.

Experimental design was used as the research methodology. Data mining from Twitter using RStudio software was conducted using the keyword “cybersecurity” during the time of pandemic. Final corpus of 31,891 tweets were considered for the study. Initial sentiment analysis has been conducted to explore the consumer's emotional inclination towards cybersecurity. Further through generalized equation modeling the impact of social media attributes over the consumer's posting behavior has been analyzed.

The research findings reveal that users are inherently positive towards cybersecurity adoption in sports and the factors such as number of tweets, number of positive words contained in these tweets and the authenticity of the information source boost the pre-established tweeting behavior. However, the influx of information from non-organizational sources such as trending topics and discussions have negative impact over the users.

This study is first to explore the role of nano-influencers as communication moderators over digital social platforms. This study offers a new understanding of key contributing attributes of sentiments formation over social media and offers a scheme of selection of nano-influencers to modulate the pre-established sentiments of the users. Finally, the current study offers valuable insights into social media engagements and selection of nano-influencers for practicing marketing managers.

This study explores the role of human resource management (HRM) practices in advancing sustainable development goals (SDGs) within emerging markets. Specifically, we examine how HRM practices in financial institutions in the emerging markets of India and China promote SDGs 8 (decent work and economic growth), 10 (reduced inequalities) and 13 (climate action). We also propose a framework integrating these key SDG goals with core HRM functions.

Secondary data analysis was employed using data from sustainability reports of the top five Indian and Chinese banks listed in Forbes – the Global (2000) ranking for 2022–2023. These sustainability reports were analysed based on their reporting of indicators from the Global Reporting Initiative GRI 400 series, aligned with the SDGs 8, 10 and 13.

The result of the comparative analysis indicates that both Indian and Chinese banks use HRM practices of recruitment and selection, rewards and payments, workplace health and safety, and training and development to meet SDGs 8 (decent work and economic growth), 10 (reduced inequalities) and 13 (climate action). Regarding the reporting and disclosure of HRM practices in diversity, equity and inclusion, Indian banks outperform Chinese banks, and these practices contribute significantly to SDGs 8, 10 and 13. The dominance of state-owned initiatives in China dictates the alignment of HRM strategies with economic priorities at the national level, highlighting the challenge of balancing global sustainability initiatives with a centralised management system.

The study provides a comprehensive examination of sustainability reports with a specific focus on HRM practices and their role in advancing SDGs. It applies institutional theory to understand the differences in the reporting and implementation of HRM practices that contribute to the achievement of SDGs.

Purpose: Understanding consumer wants is crucial for improving service quality and gaining a competitive edge. This study's primary goal is to examine how satisfied tourists are with Kachchh Rann Utsav and whether they plan to revisit.

Methodology: The researcher used tourists who have visited Kachchh Rann Utsav previously as a sample based on the cluster sampling method. The sample size for this research was 478. The present study has considered the 7As of tourism: attraction, accessibility, amenities, accommodation, activities, awareness, and ancillary service to measure the underlying satisfaction. The researcher used multinomial logistic regression to predict the travelers’ intention to revisit.

Findings: Surprisingly, the researcher observed that the other six A's of tourism have been found not to affect tourists’ revisit intention, although accommodation does. Thus, the researcher thinks that a shift in the quality of lodging services offered to visitors during Kachchh Rann Utsav will have a big influence on the extent and direction of their desire to return to Kachchh Rann Utsav.

Originality: As to Kachchh Rann Utsav is an unexplored area. So to bridge the gap the researcher's study on this topic. As it will enhance the knowledge of Kachchh Tourism.

Implication: This study will be helpful for all Gujarat's and Kachchh's tourism industry stakeholders in framing the policy regarding Kachchh Rann Utsav.

The purpose of this paper is to evaluate performance of mobile communication system with reliability measures.

The mobile communication system consists of a mobile station (MS), base transceiver station (BTS), base station controller (BSC) and the mobile switching center. The MS is connected to BTS, BTS is connected to BSC and BSC is connected with the mobile switching system. With the help of these stations working, the authors have developed a mathematical model using Markovian approach.

Using the supplementary variable technique, the Laplace transformations and Markov process theory, the reliability indices of the mobile communication system are determined.

In the present work, the authors have developed a mathematical model based on a mobile communication system.