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The COVID-19 outbreak reached a critical stage when it became imperative for public health systems to act decisively and design potential behavioral operational strategies aimed at containing the pandemic. Isolation through social distancing played a key role in achieving this objective. This research study examines the factors affecting the intention of individuals toward social distancing in India.

A correlation study was conducted on residents from across Indian states (N = 499). Online questionnaires were floated, consisting of health belief model and theory of planned behavior model, with respect to social distancing behavior initially. Finally, structural equation modeling was used to test the hypotheses.

The results show that perceived susceptibility (PS), facilitating conditions (FC) and subjective norms are the major predictors of attitude toward social distancing, with the effect size of 0.277, 0.132 and 0.551, respectively. The result also confirms that the attitude toward social distancing, perceived usefulness of social distancing and subjective norms significantly predict the Intention of individuals to use social distancing with the effect size of 0.355, 0.197 and 0.385, respectively. The nonsignificant association of PS with social distancing intention (IN) (H1b) is rendering the fact that attitude (AT) mediates the relationship between PS and IN; similarly, the nonsignificant association of FC with IN (H5) renders the fact that AT mediates the relationship between FC and IN.

The results of the study are helpful to policymakers to handle operations management of nudges like social distancing.

The research is one of its kind that explores the behavioral aspects of handling social nudges through FC.

Knowledge transfer which refers to the communication of knowledge from a source so that it is learned and applied by a recipient has long been a challenge for knowledge management. The purpose of this study is to understand influencing factors of transactive memory system (TMS) and knowledge transfer.

Drawing on the theories of communication visibility, social distance and flow, this study develops a research model. Then, data are collected from users of the social media mobile App. Partial least squares-structural equation modeling (PLS-SEM) is employed to analyze data.

TMS is a valid second-order construct in the social media mobile app context, which is more reflected by credibility. Meanwhile, communication visibility and social distance each have positive effects on TMS which further has a positive effect on knowledge transfer. Flow has a positive effect on knowledge transfer.

Developers of the mobile App should carefully consider the role of information and communication technology (ICT) in supporting TMS and knowledge transfer. They should consider recommendation algorithm so that the benefit of communication visibility can be retained. They should design the feature to classify users based on similarity so as to stimulate users' feeling of close social distance. They should keep on improving features based on users' holistic experience.

This study incorporates the perspectives of communication visibility, social distance and flow to understand TMS and knowledge transfer, presenting a new lens for research.

The paper proposes a privacy-preserving artificial intelligence-enabled video surveillance technology to monitor social distancing in public spaces.

The paper proposes a new Responsible Artificial Intelligence Implementation Framework to guide the proposed solution's design and development. It defines responsible artificial intelligence criteria that the solution needs to meet and provides checklists to enforce the criteria throughout the process. To preserve data privacy, the proposed system incorporates a federated learning approach to allow computation performed on edge devices to limit sensitive and identifiable data movement and eliminate the dependency of cloud computing at a central server.

The proposed system is evaluated through a case study of monitoring social distancing at an airport. The results discuss how the system can fully address the case study's requirements in terms of its reliability, its usefulness when deployed to the airport's cameras, and its compliance with responsible artificial intelligence.

The paper makes three contributions. First, it proposes a real-time social distancing breach detection system on edge that extends from a combination of cutting-edge people detection and tracking algorithms to achieve robust performance. Second, it proposes a design approach to develop responsible artificial intelligence in video surveillance contexts. Third, it presents results and discussion from a comprehensive evaluation in the context of a case study at an airport to demonstrate the proposed system's robust performance and practical usefulness.

Social recommendation has been recognized as a kind of e-commerce with large potential, but how social recommendations influence consumer decisions is still unclear. This paper aims to investigate how recommendations from different social ties influence consumers’ purchase intentions through both behavior and brain activity.

Utilizing behavioral (N = 70) and electroencephalogram (EEG) (N = 49) experiments, this study explored participants’ behavior and brain responses after being recommended by different social ties. The data were analyzed using statistical inference and event-related potential (ERP) analysis.

Behavioral results show that social tie strength positively impacts purchase intention, which can be fitted by a logarithmic model. Moreover, recommender-to-customer similarity and product affect mediate the effect of tie strength on purchase intention serially. EEG findings show that recommendations from weak tie strength elicit larger N100, N200 and P300 amplitudes than those from strong tie strength. These results imply that weak tie strength may motivate individuals to recruit more mental resources in social recommendation, including unconscious processing of consumer attention and conscious processing of cognitive conflict and negative emotion.

This study considers the effects of continuous social ties on purchase intention and models them mathematically, exploring the intrinsic mechanisms by which strong and weak ties influence purchase intentions through recommender-to-customer similarity and product affect, contributing to the applications of the stimulus-organism-response (SOR) model in the field of social recommendation. Furthermore, our study adopting EEG techniques bridges the gap of relying solely on self-report by providing an avenue to obtain relatively objective findings about the consumers’ early-occurred (unconscious) attentional responses and late-occurred (conscious) cognitive and emotional responses in purchase decisions.

This study aims to explore the perception of students from conflicted groups studying nursing together regarding the intergroup encounter. Specifically, this study focused on Jewish and Arab students in a nursing undergraduate program at an Israeli college. This study focused on the association between two factors [students’ cultural intelligence (CQ) level and their satisfaction with the support provided by the college] and the degree of closeness or social interaction Arab and Jewish students experience.

Accordingly, 362 students completed three anonymous questionnaires during December 2022, focused on (1) CQ (2) satisfaction with the academic setting and (3) experience of intergroup social interaction.

The results revealed that (1) Arab students (minority group) demonstrated higher CQ than Jewish students, especially regarding awareness of cultural differences and motivation for intercultural encounters. (2) Arab students experienced the intergroup encounter with Jewish students as closer and warmer than Jewish students did. (3) Despite being a minority group in Israel, Arab students’ satisfaction with the college’s support was higher than that of Jewish students. (4) Satisfaction with the support provided by the college was the main factor associated with the sense of social interaction, having a higher correlation with it than the degree of CQ.

Fostering CQ through curricula alone is insufficient in shaping intergroup experiences of students studying together in a divided society. To encourage social interaction between students in academia in divided societies, educational institutions need to ensure their students’ sense of support is high.

This research investigates the impact of the COVID-19 pandemic on the use of transitional spaces in a Korean academic setting, to assess the impact of the pandemic on users' utilization of transitional spaces and evaluate any changes in their usage patterns. The research explores whether transitional spaces can function as social interactive spaces, aligning with Ray Oldenburg's “third-place” theory. The focus is on South Korean academic settings, aiming to create neutral and safe zones for users.

The adopted methodology involves reviewing the literature and employing design charrette as a major data collection tool. The design charrette provided a platform for users to share insights on current transitional spaces during the pandemic and envision these spaces as future social and interactive spaces.

The design charrette participants advocated for modifying the current transitional space design to transform these spaces into shared spaces for both visitors and regular users in the future. Restricting access for external users to the main building area until necessary. The significance of site amenities in determining transitional spaces as “third-places” was emphasized. While the nature of the building, its location and transitional space amenities are crucial aspects to consider, designers may prioritize user opinions and preferences, as the success or failure of the design ultimately centers on user behaviors.

The research focused on a specific university, hindered by limited access to other institutions during the pandemic. Restrictions on external users discouraged entry without proper permission, which was challenging to obtain. The conventional design charrette outlined in the research method was impossible due to pandemic-related limitations on gathering participants in one location. Therefore, the researcher modified the design charrette method to align with strict social distancing measures.

The results of the research are not limited to academic settings, but they can be implied in other environments where social interaction spaces are required and where there is a constant flow of visitors and regular users. The design charrette can be used as a methodology for interior spaces along with large-scale projects of urban planning.

The research analyzed transitional spaces during the pandemic, suggesting redesign to serve and act as buffer zones between private and public areas and become a common social gathering place for visitors and regular users within the built environment.

Short-form videos have gradually become important marketing tools for tourist destinations. However, chaotic sources and homogenized content have led to poor user experiences. Taking Kulangsu and Xi'an City Wall in China as examples, this study explored the influence of matching short-form video sources with destination types on user engagement and visit intention.

This study selected three short-form videos from different sources for each destination on TikTok and conducted an empirical research using a 3 × 2 experimental design to examine the proposed research model.

The results showed that the matching effect between short-form video sources and destination types will positively affect user engagement and visit intention. (1) the short-form videos with user-generated content (UGC) or professional user-generated content (PUGC) in hedonic destinations can obtain higher user engagement and visit intention; (2) the short-form videos with professionally generated content (PGC) or PUGC in utilitarian destinations can obtain higher user engagement and visit intention and (3) perceived credibility and perceived usefulness played mediating roles in these interactions.

This study considers short-form video sources as antecedent variables influencing user engagement and visit intention and confirms the matching effect between short-form video sources and tourism destination types. The findings will help researchers and marketers better understand the impact of short-form video on destination marketing.

Consumers are increasingly spending more time on social media platforms to cope with anxiety and loneliness resulting from the recent pandemic. The extraordinary times, characterised by isolation and lockdown, has placed increasing dependence on online technology as a coping mechanism in which social media influencers (SMIs) served as the human face of brands, helping both consumers and brands maintain human connection. How should practitioners navigate their social media campaigns in this changing environment?

To answer this question, the Source Connectedness Pyramid is proposed to help explain and compare the interactions between consumers and SMIs in ordinary and extraordinary times.

In their interactions with influencers during ordinary times, consumers are satiated with influencer source characteristics of attractiveness, trustworthiness and expertise. However, during extraordinary times, consumers substitute their usual preference to focus on connectedness, characterised by relatedness, belongingness and attachment.

The empirical study within this paper lends support to this proposition and offers additional insights. The proposed Source Connectedness Pyramid contributes to influencer communication theoretically and has strategic implications for practitioners when navigating their social media campaigns in these extraordinary times.

This study aims to examine the relationship between knowledge management and career development in an era characterized by high levels of youth unemployment and a demand for specialized skills. Despite the increasing transition to a knowledge-based economy, there is a significant gap between young people’s skills and career readiness, necessitating an in-depth analysis of the role of knowledge management at the individual, organizational and national levels.

The authors conducted a qualitative study using the theory-context-characteristics-methodology approach based on a systematic literature review. The authors created an ecological framework for reflecting on knowledge management and career development, arguing for a multidisciplinary approach that invites collaboration across sectors to generate innovative and reliable solutions.

This study presents a comprehensive review of the existing literature and trends, noting the need for more focus on the interplay between knowledge management and career development. It emphasizes the need for businesses to promote the acquisition, storage, diffusion and application of knowledge and its circulation and exchange to create international business human capital.

The findings may help multinational corporations develop managerial training programs and recruitment strategies, given the demand for advanced knowledge-based skills in the modern workspace. The study also discusses the influences of education, experience and job skills on business managers’ performance, guiding the future recruitment of talents.

To the best of the authors’ knowledge, this review is among the first to assess the triadic relationship between knowledge management, career development and the global unemployment crisis. The proposed multidisciplinary approach seeks to break down existing silos, thus fostering a more comprehensive understanding of how to address these ongoing global concerns.