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The concept of digital badges (DBs) as a form of microcredentialing has gained considerable traction in higher education and workplace settings in recent years. This scoping review aims to map the empirical research conducted on DBs in higher education and workplace settings.

The design of this study is a scoping literature review. This scoping review adopts the five-stage scoping framework proposed by Arksey and O’Malley (2005).

Based upon our review of the 45 studies that comprised this scoping review of the empirical literature on DBs, we advance a typology that segments the empirical research based on whether DBs are used as pedagogical tools (PTs) or microcredentials. The authors found some confusion regarding nomenclature, numerous theories offered to explain DBs and divergent findings that suggest room for further exploration of this relatively new phenomenon.

This scoping review of the literature helps make sense of the emerging research landscape on DBs. The findings suggest that using DBs as a PT or as a microcredential has implications for a wide range of stakeholders regarding promoting lifelong learning, upskilling and reskilling the workforce. With the financial constraints facing higher education in a postpandemic environment, understanding the impact of DBs is needed before making an investment in this arena.

The purpose of this paper is to give an overview of artificial intelligence (AI) and other AI-enabled technologies and to describe how COVID-19 affects various industries such as health care, manufacturing, retail, food services, education, media and entertainment, banking and insurance, travel and tourism. Furthermore, the authors discuss the tactics in which information technology is used to implement business strategies to transform businesses and to incentivise the implementation of these technologies in current or future emergency situations.

The review provides the rapidly growing literature on the use of smart technology during the current COVID-19 pandemic.

The 127 empirical articles the authors have identified suggest that 39 forms of smart technologies have been used, ranging from artificial intelligence to computer vision technology. Eight different industries have been identified that are using these technologies, primarily food services and manufacturing. Further, the authors list 40 generalised types of activities that are involved including providing health services, data analysis and communication. To prevent the spread of illness, robots with artificial intelligence are being used to examine patients and give drugs to them. The online execution of teaching practices and simulators have replaced the classroom mode of teaching due to the epidemic. The AI-based Blue-dot algorithm aids in the detection of early warning indications. The AI model detects a patient in respiratory distress based on face detection, face recognition, facial action unit detection, expression recognition, posture, extremity movement analysis, visitation frequency detection, sound pressure detection and light level detection. The above and various other applications are listed throughout the paper.

Research is largely delimited to the area of COVID-19-related studies. Also, bias of selective assessment may be present. In Indian context, advanced technology is yet to be harnessed to its full extent. Also, educational system is yet to be upgraded to add these technologies potential benefits on wider basis.

First, leveraging of insights across various industry sectors to battle the global threat, and smart technology is one of the key takeaways in this field. Second, an integrated framework is recommended for policy making in this area. Lastly, the authors recommend that an internet-based repository should be developed, keeping all the ideas, databases, best practices, dashboard and real-time statistical data.

As the COVID-19 is a relatively recent phenomenon, such a comprehensive review does not exist in the extant literature to the best of the authors’ knowledge. The review is rapidly emerging literature on smart technology use during the current COVID-19 pandemic.

The study explored how information institutions can support the resilience of parents of adolescents affected by the Russia–Ukraine war. Ukrainian parents are facing major challenges of supporting their teenagers through a difficult developmental phase while also “buffering” their war-related hardships. By supporting parents, information institutions can also support children.

Fifteen parents were interviewed about mental health challenges and resources that are helpful and/or missing from their support systems. Recordings of participant narratives were analyzed using the qualitative thematic analysis technique.

The findings indicate that both teens and parents rely on internal resilience skills, family, friends and community resources to support themselves. However, a number of additional resources could be offered by information institutions, including content for (1) teens on developing skills in communication, interpersonal relationships, problem solving and academic pursuits; (2) parents on child development and opportunities in their host countries; both groups on (3) both groups on mental health first aid and safe spaces to meet peers. The study recommendations will be of interest to information professionals working with families, especially families affected by disasters.

The study relied on a small convenience sample of participants.

Study recommendations would be of interest to information professionals who develop and provide services to families affected by natural and manmade disasters.

Study recommendations improve understanding of the (potential) role of information institutions and libraries in strengthening family and community resilience.

The study offers a rare insight into experiences of war-affect families and provides evidence-driven recommendations for information institutions to support family and community resilience.

The purpose of this study is to investigate how libraries use Twitter as a social media platform and examine the tweets they post, including multimedia content such as images and video clips. The study also aims to analyse the relationship between post types and user engagement and evaluate the effects of post features, such as multimedia content, on user engagement.

The methodology of the study involved three phases. In Phase 1, a review of related literature was conducted to develop a holistic approach for the study. In Phase 2, official Twitter handles of selected libraries were identified and verified for authenticity using various methods, including cross-checking with library websites. During Phase 3, data was collected from the Twitter handles. The data was then tabulated and interpreted to achieve the set objectives of the study.

The paper examined the tweets posted by select libraries on Twitter and their impact on user engagement. The study found that most tweets were related to library resources/collection and announcements, followed by events hosted by libraries. Emotionally inspiring posts and daily facts were also commonly posted. The findings also showed that including images in tweets resulted in higher levels of user engagement than video clips did. The study suggests that incorporating images fosters engagement and boosts retweets, while watching a video takes more effort and time.

The practical implications of the study can provide insights into the tweets that generate user engagement, which can help libraries tailor their social media strategies to attract and retain more followers. The paper can help libraries measure the success of their social media activities by evaluating user engagement metrics.

The originality/ value of the study lies in its examination of how libraries use Twitter as a social media platform, including the tweets they post and the impact of multimedia content on user engagement. While previous studies have examined the use of social media by libraries, this study focuses specifically on Twitter and provides a detailed analysis of the tweets that generate user engagement.