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The purpose of this study is to analyze the technological change under development linked to the convergence of the Internet of Things (IoT) and digital transformation (DT) from the perspective of a scientific mapping in a context marked by the occurrence of an unexpected event that accelerated this process such as the SARS-CoV-2 pandemic and its variants.

The study was developed under the longitudinal scientific mapping approach and considered the period 1990–2021 using as a basis the descriptors DT and IoT. The steps followed were identification and selection of keywords; design and application of an algorithm to identify these selected keywords in titles, abstracts and keywords using terms in Web of Science (WoS) to contrast them; and performing a data processing based on the journals in the Journal Citation Report during 2022. The longitudinal study uses scientific mapping to analyze the evolution of the scientific literature that seeks to understand the acceleration in the integration of technology and its impact on the human factor, processes and organizational culture.

This study showed that the technologies converging around IoT form the basis of the main DT processes being experienced on a global scale; furthermore, it was shown that the pandemic accelerated the convergence and application of new technologies to support the major changes required for a world with new needs. Finally, China and the USA differ significantly in the production of scientific knowledge with respect to the first eight followers.

The knowledge gap addressed by this study is to identify the production of scientific knowledge related to IoT and its impact on DT processes at the scale of individuals, organizations and the new way of delivering value to society. This knowledge about researchers, institutions, countries and the derivation is multiple indicators allows improving decision-making at multiple scales on these issues.

Recent United Nations Climate Change Conferences recognise extreme climate change of heatwaves, floods and droughts as threatening risks to the resilience and success of public–private partnership (PPP) infrastructure projects. Such conferences together with available project reports and empirical studies recommend project managers and practitioners to adopt smart technologies and develop robust measures to tackle climate risk exposure. Comparatively, artificial intelligence (AI) risk management tools are better to mitigate climate risk, but it has been inadequately explored in the PPP sector. Thus, this study aims to explore the tools and roles of AI in climate risk management of PPP infrastructure projects.

Systematically, this study compiles and analyses 36 peer-reviewed journal articles sourced from Scopus, Web of Science, Google Scholar and PubMed.

The results demonstrate deep learning, building information modelling, robotic automations, remote sensors and fuzzy logic as major key AI-based risk models (tools) for PPP infrastructures. The roles of AI in climate risk management of PPPs include risk detection, analysis, controls and prediction.

For researchers, the findings provide relevant guide for further investigations into AI and climate risks within the PPP research domain.

This article highlights the AI tools in mitigating climate crisis in PPP infrastructure management.

This article provides strong arguments for the utilisation of AI in understanding and managing numerous challenges related to climate change in PPP infrastructure projects.

Successful digital transformation requires a change in organisational structures, processes, capabilities and competencies. Digital transformation research is more influenced by the technology adaptation model and hence focuses on people's attitudes, behaviour and abilities. Recently, employee agility has attracted attention in the context of technology adoption and Industry 4.0. The current research explores the relationship between employee agility and digital technology adoption in the context of digital transformation by adopting the systematic literature review method.

Following the attitude–ability-behaviour–outcome framework, the research explored the specific agile ability, attitude and behaviour characteristics useful for digital transformation. Following the preferred reporting items for systematic reviews and meta-analyses (PRISMA) framework consisting of (1) initiation, (2) screening, (3) evaluation and (4) confirming inclusion (Ambika et al., 2023), the study identified 19 papers from SCOPUS indexed journals.

The study result found that agile attitude characteristics such as collaborative mindset, computer self-efficacy, ambiguity aversiveness, etc. are influencing the digital transformation process. Agile abilities like basic computer knowledge, previous technical experience, cognitive abilities, innovation capability, digital competence training and supporting proper knowledge management practices also influence digital transformation. Finally, agile behaviour such as relationship building, knowledge-sharing behaviour, promoting values of learning, risk-taking and experimenting, rewarding innovativeness and customer-centric innovation and displaying adaptability, resilience and commitment to change, etc. are found to drive digital transformation.

Research on workforce agility and digital transformation is scarce. The current study contributes to benchmarking research by exploring specific agile attitudes, abilities and behaviour characteristics relevant to digital transformation, especially in the era of Industry 4.0.

The COVID-19 outbreak disrupted the business environment and severely affected the morale and performance of the employees. Further, the Indian automobile industry witnessed major setbacks and drastically impacted sector in COVID-19. Talent agility is an emerging concept in the field of HRM that will foster innovations and productivity in the automobile industry. Thus, this study aims to explore the barriers to building in-house agile talents in the Indian automobile industry in the new normal.

The barriers of talent agility were identified through a literature review and validated through experts’ opinions. This study used a hybrid approach, which combines Interpretive Structural Modelling-Polarity (ISM-P) and decision-making trial and evaluation laboratory (DEMATEL) to develop a hierarchical structural model of the barriers, followed by classification into cause and effect groups.

The result of the multi-method approach identified that shortage of skills and competencies, lack of IT infrastructure, lack of ambidextrous leaders, lack of smart HRM technologies and practices, lack of attractive reward system/career management, poor advanced T&D, poor industry, institute interface and financial constraints are the critical barriers.

It can provide a strategic roadmap for automobile manufacturers to promote talent agility in the current wave of digitalization (Industry 4.0). This study can help the managers to address and overcome the barrier and hurdles in building talent agility.

This study is unique in that it addresses the contemporary issues related to talent agility in the context of the Indian automobile industry in the current rapidly changing environment. This study developed a holistic integrated ISM(P)-DEMATEL hierarchical framework on the barriers of talent agility indicating inner dependency weights, i.e., the strength of interrelationship between the barriers.

Recent archiving and curatorial practices took advantage of the advancement in digital technologies, creating immersive and interactive experiences to emphasize the plurality of memory materials, encourage personalized sense-making and extract, manage and share the ever-growing surrounding knowledge. Audiovisual (AV) content, with its growing importance and popularity, is less explored on that end than texts and images. This paper examines the trend of datafication in AV archives and answers the critical question, “What to extract from AV materials and why?”.

This study roots in a comprehensive state-of-the-art review of digital methods and curatorial practices in AV archives. The thinking model for mapping AV archive data to purposes is based on pre-existing models for understanding multimedia content and metadata standards.

The thinking model connects AV content descriptors (data perspective) and purposes (curatorial perspective) and provides a theoretical map of how information extracted from AV archives should be fused and embedded for memory institutions. The model is constructed by looking into the three broad dimensions of audiovisual content – archival, affective and aesthetic, social and historical.

This paper contributes uniquely to the intersection of computational archives, audiovisual content and public sense-making experiences. It provides updates and insights to work towards datafied AV archives and cope with the increasing needs in the sense-making end using AV archives.

This study aims to map the digital risks for the Islamic finance industry. Since 2010, the financial space has largely shifted from being banking-centric to the entrepreneurship spectrum, benefiting from groundbreaking innovations in computer technology. The problem of Islamic Finance is that it is still within its banking-centric moment that is risk averse leading to financial exclusion. As with all innovations, there are associated risks that require careful consideration to ensure the reaping of the benefits of these technologies while controlling the risks at its lowest. In this context, the aim of this study is to highlight the risks associated with financial technologies (FinTech) to prepare the Islamic finance sector to serve the economic ideals of Maqāṣid al-Shariah in financial inclusion and profit and loss sharing. The main research question is as follows: What do Islamic Finance industry need to do to manage the digital risks for financial inclusion?

This study uses narrative review method in analysing the discourse of financial technology literature using qualitative data collected from the literature on the topic. It aimed to problematise associated digital risks from the Shariah compliance and Maqā¸ṣid al-Shariah critical viewpoints. Considering the nature of this conceptual study, it adopts a qualitative methodology by using discourse and thematic analysis of the literature that can lay the foundation for future empirical testing on the topic.

The study found that managing risks faced by the Islamic financial sector while adapting to the digital era can be divided into two main clusters: risk mitigation for Shariah-compliant FinTech and risk avoidance for Shariah non-compliant innovations. The high level of gharar associated with current practices in both cryptocurrencies and smart contracts needs additional regulation and simulation before they can be reconsidered for market-wide application. Cloud computing, crowdfunding and big data have promising applications that can address the limitations of the Islamic finance industry, particularly in terms of reducing transactional costs.

This conceptual article offers some insights into the subject; nevertheless, it does not attempt to establish causation or generalise the results. Additional statistical testing is required prior to generalising the results.

Due to the difficulties experienced since its inception, the Islamic financial industry is in urgent need of the cutting-edge solutions required to gain a competitive edge in the market and get over the limits that came with its late entry into the financial sector. Mapping digital risks is imperative for the development of comprehensive prudential risk management strategies for the Islamic finance industry that can fix its problems and enable it to deliver the more favourable Shariah-based solutions, rather than remaining in the lower bands of Shariah compliance.

Findings of the study lay the foundation for empirical testing the volatility of FinTech innovations for the Islamic finance industry to reduce uncertainties and generate reliable forecasts. Scholarship on managing digital risks for Islamic financial institutions is still developing due to the covid global lockdown and the looming recession, and this study will help enhance theorisation necessary that can aspire economic recovery after current challenges.

In light of the shift in focus from information communication technology (ICT) access (access divide) and skills (skills divide) to the tangible impacts of ICT use (impact divide), a growing number of scholars have called for further investigation into the inter-territorial and multi-dimensional aspects of the digital divide in China. This study aims to address these gaps by examining the disparities across 31 provinces, particularly emphasizing the transition from the traditional access and skills divides to the impact divide.

Multivariate regression analysis extensively investigates the transition from the access and skills divides to the impact divide across 31 provinces. Additionally, ArcGIS software is used to analyze spatial agglomeration and the auto-correlation (Moran-i) and predict mapping patterns in the data corresponding to all three levels of the digital divide.

According to the study's findings, poverty is a significant factor in the digital divide between different regions in China. The research shows that provinces with advanced administrative systems, such as Guangdong, Shanghai, Beijing, Jiangsu, Shandon and Zhejiang, have high scores on the digital development index (DDI). However, regions with poverty-ridden and rural areas, primarily located in southwest, central and western China, tend to have lower DDI scores.

This study offers a novel contribution to the literature by presenting an innovative conceptual framework that explores the impact divide within China's provinces. The authors also address this lacuna in the literature by developing and testing two dimensions to examine the relationships statistically under a wide range of socioeconomic and ICT indicators.

This study presents a review based research framework that aims to influence memory institutions in their projects on digital storytelling from digitized ancient travel records. This study aims to influence research and policymaking related to design and delivery of services based on memory institutions’ collections of historical records.

The demonstrated research framework has been synthesized using inputs from a review of existing studies on the domain accompanied by a short survey created for collecting the opinion of selected experts. Studies demonstrating utilization of semantic web technologies and those that can influence policymaking related to digital storytelling were primarily reviewed.

The core tasks behind digital storytelling vary depending on the project goals. So, a two-part framework had to be proposed that covers the generic fundamental tasks with diverse applicability and digital storytelling related specific tasks separately. Also during the review, it was found that studies demonstrating the use of travel records for digital storytelling were less in number compared to studies using digital storytelling for tourism in general.

The demonstrated research framework can guide memory institutions in exposing their travel-related holdings to a wider audience using innovative semantic web technologies and open up avenues for future empirical research thereby adding to the novelty of the presented research. Also, reviews of articles on digital storytelling or digital humanities in general exist, but, review of digital storytelling initiatives focusing specifically on tourism and travel literature is scarce.

The COVID-19 crisis has adversely affected entrepreneurs, innovators and their ventures and, arguably, entrepreneurship research. This study aims to map the knowledge of entrepreneurship research during the COVID-19 pandemic to provide evidence of literature evolution in the field with the purpose of supporting future decision-making for policymakers, academics and practitioners in the post-COVID-19 era.

The study examines various bibliometric and scientometric indicators of entrepreneurship research in the Web of Science database using bibliometric techniques and visualization tools. Using the information gained, the scientometrics of entrepreneurship research during the COVID-19 time slice (2020–02-12 to 2022–10-15) are synthesized and comprehensively presented, and future research avenues for the post-COVID-19 era are suggested.

The results of rigorous quantitative analyses show that entrepreneurship research activities were not disrupted by COVID-19, although entrepreneurial activities themselves were impacted worldwide. In addition to providing key insights into the research field, including the most relevant keywords, keyword co-occurrences, publication sources, countries' contribution and collaboration, and source co-citations, the conceptual structural analysis separates the current trends (hotspots) into ten themes. Based on the evolution of author keywords and research themes, the study identified numerous future research directions, including 1) entrepreneurship in emerging countries, 2) firm performance in different categories of enterprises, 3) immigrants and transnational entrepreneurs, 4) technology in entrepreneurship education and 5) the impact of COVID-19 on the entrepreneurial ecosystem and entrepreneurship.

By building firm foundations for advancing the field in innovative and systematic ways, this timely study contributes to entrepreneurship literature and facilitates the understanding of the features and structures of entrepreneurship research towards the end of the pandemic. The research also has important implications for research management and entrepreneurship policymaking. The study's main limitation is that the results can only represent the time slice between 2020-02-12 and 2022-10-15.

Policymakers and managers of research and development can utilize this research to prepare a crisis-related minimization handbook in advance.

This first data mapping and thematic analysis research for entrepreneurship during the period of COVID-19 provides the latest knowledge in the field at the beginning of the end of the pandemic. It empowers scholars by 1) providing a one-stop literature overview for this global crisis time slice, 2) identifying research focuses and gaps, 3) developing new research avenues for investigation and 4) contributing conceptual structure for specific entrepreneurship research projects.

This study aims to examine digital consumer culture and behavior in the community, namely, 180° Movement Digital Training Center (DTC), in Jakarta, Indonesia. It aims to describe the dynamics of digital consumer culture in contemporary society, particularly as experienced by the youth community in Jakarta in the context of socio-technology relations and incorporates it into the diagram of digital consumer culture network.

This research uses a constructivist qualitative approach and socio-technical relation analysis through actor-network theory and digital consumer culture.

The study finds that the individual model of digital consumption is constructed through the process of problematization, interessement, enrollment and mobilization of individuals. It generates a culture in which consumers are constantly up to date with high-intensity information, but within increasingly shorter timeframes, while also considering principles of affordability, needs, desires and satisfaction. The network of digital consumer culture construction among informants is peculiar and unstable.

The study of digital consumer culture within the 180° Movement DTC community highlights how consumer behaviors of its members are facilitated and interconnected within a digital cultural network. However, this research is constrained by the dialectical interplay between Christian principles and the emerging values of consumer culture, a result of the scarcity of theoretical resources and information. This study also provides a specific contribution as a foundation for mapping the volatile digital consumer culture for researchers.

Understanding the socio-technological relationships and consumption behavior of the youth community could help digital platforms tailor their services more effectively. It could also guide the 180° Movement DTC in developing programs that resonate with the youth, bridging the gap between the physical and virtual realms. Ultimately, this could lead to a more engaged and digitally literate society.

This study contributes to a broader societal understanding of how digital technology is shaping consumer behavior and identity within youth communities, which can influence social dynamics and interactions. It provides insights into the potential social impacts of digital technology, such as changes in relationships, communication patterns and self-perception, informing societal discourse on digital culture.

In addition to presenting socio-technological analysis on Indonesian consumer culture using actor-network theory, some also show that studies on digital connectivity ambivalence that concern the relationship between humans as actors and non-humans as actors have become one of the popular sociology studies at present.