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LinkedIn is a popular and maybe the best job-oriented social networking site (SNS) around the world. Numerous individuals (mostly, jobseekers), as well as the companies (mostly, hiring organizations) have LinkedIn accounts. This study intends to reveal the roles of LinkedIn-based skill endorsements (LSEs) as well as LinkedIn-based hiring recommendations (LHRs) on the hiring preferences (HPs) of Bangladeshi employers.

The authors purposefully selected 388 valid respondents (employers) from different Bangladeshi job sectors. Based on their responses, the authors applied SPSS 25 for explanatory statistics and a “Covariance-based Structural Equation Modeling (CB-SEM)” (with AMOS 25) to measure the hypothesized associations.

After appropriate analysis, the authors revealed a momentous positive role of LHR on HP, whereas LSE was identified to have an inconsiderable role on HP.

In this empirical study, the authors tried to highlight the relatively unattended area of Bangladeshi employers' HPs that can be affected by LSEs and LHRs. The authors believe that this study will encourage the researchers to unveil the impacts of LinkedIn-based profile characteristics on job candidates' employability. This empirical study can also aid the employers and policymakers to look for a new avenue for hiring competent talents.

This study aims to explore the emergence of the human resource (HR) analyst role. The job posts on LinkedIn display the industry demand and skills required by the organizations. This study identifies the different knowledge, skills and abilities (KSA) required for an HR analyst role in different stages of professional growth (i.e. entry-level, middle-senior level and top-level) across different industries/sectors as applicable to the crisis.

A total of 80 job posts were extracted from LinkedIn. Details such as industry, job levels, qualifications, job experience, job functions, job descriptions (JDs) and job skills (JS) were collected. Further, 30 videos were extracted from YouTube and converted into text. Text analysis was conducted using NVivo software to analyze JDs, JS and job functions. Using NVivo, word frequency, word cloud, word tree and treemap were created to visualize the data. Finally, ten in-depth interviews were conducted with senior HRA managers based in India to understand the essential competencies required for the HR analyst role and the strategies to develop them.

The findings indicate that not only technical skills are needed, but business and communication skills are particularly important for all job levels during a crisis. The JD word cloud showed words, such as data, business, support and management, and the word tree depicted HR data and change agents as important words with many related sentences as branches. General JS included analytical, communication, problem-solving and management. Technical JS were the most widely used and included structure query language, system applications & products in data processing, human capital management, TABLEAU, management information system and PYTHON. Strategies to develop these competencies included case studies, live projects, internships on HR analytics (HRAs) assignments and mentoring by senior HRA professionals.

The sample used was small, as the study included 80 job posts available on LinkedIn restricted to India. The study was restricted to qualitative approach and text analytics was used. Survey methods and a quantitative approach can be used to collect data from HR recruiters, job holders and senior leaders to understand the role of HRAs in the job market and then these variables can be tested empirically.

Based on the McCartney et al.’s (2020) competency model for the HR Analyst role, this study has explored the KSA framework using data visualization techniques and used text analytics to analyze LinkedIn job posts for different levels, videos from YouTube and in-depth interviews. It also mapped the KSA for the HR analyst role to the various stages of crisis system management given by Mitroff (2005). The use of social media analytics, such as analyzing LinkedIn data and YouTube videos, are highlighted.

As our time spent on social networking sites (SNS) is increasing, more people are facing the psychological and mental consequences of SNS use. Given the growing body of research on the relationship between social network use and life satisfaction, this study aims to provide an overview of empirical studies through a systematic literature review.

As a result of the screening process, 43 articles were included in the review in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. First, the characteristics of the studies included in the review, such as sample country, data collection method and data analysis method, are presented. Then, the findings on the relationship between SNS use and life satisfaction are outlined.

Based on the results, it is seen that the relationship between SNS use and life satisfaction varies considerably with the sample and platforms studied. Theoretically, this systematic review provides a comprehensive picture of the relationship between SNS use and life satisfaction and encourages researchers to study the topic further.

There are reviews on the relationship between SNS use and psychological factors such as self-esteem, loneliness or depression. In the reviews, limited variables such as problematic social network use, adolescents’ social network use and social network addiction have been examined instead of general social network use. However, the number of reviews on the relationship between social network use and life satisfaction is quite limited. To the best of the authors’ knowledge, this systematic review is both a comprehensive literature review and one of the first studies to provide a broad perspective on the relationship between social network use and life satisfaction.

The novel coronavirus (nCoV) pandemic, and the challenges of social distancing, proffer a unique opportunity to re-explore the role of social network support in entrepreneurship. Applying social support theory and gender schema theory, this study aims to examine the gender-based differences in prospective entrepreneurs' reliance on their social networks in their entrepreneurial journey amid social turmoil.

The authors collected two-stage primary survey data of prospective entrepreneurs within the pandemic's timeframe from Science and Technology Parks in Iran, one of the first countries to deal with the first, second and third waves of the 2019-nCoV virus.

The findings demonstrate that female entrepreneurs rely more strongly on their social network support for guidance and encouragement, which positively affects their opportunity intention. While this effect is also seen in men, the effect size is smaller. Also, prospective female entrepreneurs were generally more dissuaded from opportunity intention by the severe perceived environmental uncertainty of the crisis than were men.

Prior research on the interaction between social network support and opportunity intentions has been examined in the context of socio-economic normalcy. The authors test whether, how and why these interactions hold in times of crisis, with especial attention to the mechanisms of experienced stress, perceived environmental uncertainty and idea innovativeness.

Educators need to engage in continuous learning to ensure that their knowledge and practice responds to the changing needs of society and students. Collaborative approaches, in which social capital resource is exchanged, can serve as an effective way of facilitating such learning. With this systematic review, the authors identify the opportunities and benefits inter-school social capital networks might bring by exploring: (1) what inter-school networks are available internationally for primary and secondary schools, (2) the features and activities present within inter-school networks and (3) evidence of impact of inter-school network activities.

For this study, the authors employed a systematic review methodology. The review comprised the five stages of the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses: PRISMA, 2021) protocol. The study findings derived from 111 research outputs (from a total of 1,221 originally identified).

The review highlights a number of different inter-school networks and their diverse purposes as well as key network features, such as the actors present in networks and the activities network participants engage with. At the same time, however, the authors only identify limited reliable evidence of the impact of inter-school networks.

The study fills a knowledge gap by exploring, for the first time, the presence, features of inter-school social capital networks available to school leaders as well as investigating the impact of these networks.

Using social network theory (SNT), this study empirically examines the impact of digital supply chain announcements disclosing corporate social responsibility (CSR) information on stock market value.

Based on 172 digital supply chain announcements disclosing CSR information from Chinese A-share listed companies, this study uses event study method to test the hypotheses.

First, digital supply chain announcements disclosing CSR information generate positive and significant market reactions, which is timely. Second, strategic CSR and value-based CSR disclosed in digital supply chain announcements have a more positive impact on stock market, however there is no significant difference when the CSR orientation is either towards internal or external stakeholders. Third, in terms of digital supply chain network characteristics, announcements reflecting higher relationship embeddedness and higher digital breadth and depth lead to more positive increases of stock value.

First, the authors consider the value of CSR information in digital supply chain announcements, using an event study approach to fill the gap in the related area. This study is the first examination of the joint impact of digital supply chain and CSR on market reactions. Second, compared to the previous studies on the single dimension of digital supply chain technology application, the authors innovatively consider supply chain network relationship and network structure based on social network theory and integrate several factors that may affect the market reaction. This study improves the understanding of the mechanism between digital supply chain announcements disclosing CSR information and stock market, and informs future research.

The privacy calculus based on a single stakeholder failed to explain users' co-owned information disclosure owing to the uniqueness of co-owned information. Drawing on collective privacy calculus theory and impression management theory, this study attempts to explore the co-owned information disclosure of social network platform users from a collective perspective rather than an individual perspective.

Drawing on collective privacy calculus theory and impression management theory, this study explores the co-owned information disclosure of social network platform users from a collective perspective rather than an individual perspective based on a survey of 740 respondents.

This study finds that self-presentation and others presentation directly positively affect users' co-owned information disclosure. Also, self-presentation, others presentation and relationship presentation indirectly positively affect users' co-owned information disclosure via relationship support. Furthermore, personal privacy concern, others' privacy concern and relationship privacy concern indirectly negatively affect users' co-owned information disclosure via relationship risk.

The findings develop the theory of collective privacy calculus and impression management, which offer insights into the design of the collective privacy protection function of social network platform service providers.

Background: The concept of the ideas-informed society represents a desired situation in which: (1) citizens see value in staying up to date, and (2) citizens regularly keep themselves up to date by actively engaging with new ideas, developments and claims to truth, doing so both openly and critically. As a result, individuals become ever more knowledgeable, are better able to make good decisions, as well as find themselves in better position to re-align their values in response to new progressive norms and beliefs. Given these potential benefits, of primary interest are those who do not value staying up to date, nor attempt to do so.

Methods: With this systematic review we have sought to identify ways to consider how such “ideas refusers” might be switched-on to engaging with new ideas. We have done so by exploring: (1) the factors which act as barriers to and enablers of the actualisation of the ideas-informed society; (2) interventions/programmes and community-led activities developed to actualise the ideas-informed society; and (3) other non-empirically tested/verified suggestions for how the ideas-informed society might be actualised. Our findings derive from 25 research outputs (from a total of 631 originally identified) as well as examine case studies of “bottom-up” analogous activities.

Results: Our review highlights the presence of seemingly impactful approaches to enabling citizens to engage with new ideas, including science cafés and museum exhibitions. Other more bottom-up approaches include community-based events and festivals; social networks (and discussion within these networks) are also key to whether and how individuals engage with ideas, and the breadth of ideas they engage with.

Conclusions: We conclude by suggesting development and rigorous testing is now needed of interventions that seek to: (1) pique citizens’ curiosity; (2) establish connections to social networks and; (3) arm citizens with essential ideas-related dispositions.