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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.

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.

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.