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This systematic literature review (SLR) aims to critically analyze the current academic research on the adoption of artificial intelligence (AI) in supply chain management (SCM) and develop a theoretical framework and future research agenda.

Through a comprehensive review of 68 relevant papers, this study synthesizes the findings to identify key themes based on extended technology-organization-environment (TOE) theory.

This study analyzes AI integration in SCM based on the TOE framework, identifying drivers (technological, organizational, environmental and human), barriers (technical, organizational, economic and human) and outcomes (operational, environmental, social and economic) of AI adoption. It emphasizes AI's potential in improving SCM practices like resilience, process improvement and sustainable operations, contributing to better decision-making, efficiency and sustainable practices. The study also provided a novel framework that offers insights for strategic AI integration in SCM, aiding policymakers and managers in understanding and leveraging AI's multifaceted impact.

The originality of the study lies in the development of a theoretical framework that not only elucidates the drivers and barriers of AI in SCM but also maps the operational, financial, environmental and social outcomes of AI-enabled practices. This framework serves as a novel tool for policymakers and managers, offering specific, actionable insights for the strategic integration of AI in supply chains (SCs). Furthermore, the study's value is underscored by its potential to guide policy formulation and managerial decision-making, with a focus on optimizing SC efficiency, sustainability and resilience through AI adoption.

The purpose of this study was to develop a multi-criteria-based scoring model to upgrade the work stress prevention checkpoints to a stress-management tool for estimating the risk score of the workplace’s stressors and prioritizing the control solutions.

A Panel of ten experts was formed and capitalized on Fuzzy Delphi, Fuzzy DEMATEL, and SWARA methods to discover the decision criteria, obtain the weights of the checkpoints’ dimensions, and develop the system to be used in an organization. The developed tool is finally applied in an organization as a case study.

Five criteria, namely Intellectual, Physical, Emotional, Behavioral, and Organizational reactions were found with respect to which the dimensions were prioritized. Generally, the heaviest weight belonged to “Job demand” by 0.13, followed by “Work-life balance and working times”, “Social support”, “Leadership and justice at work”, “Job control”, and “Job security” with weights of 0.118, 0.116, 0.114, 0.11, and 0.1, respectively. The “information and communication” had the lowest weight by 0.062.

It was found that multiple stress-related factors have different importance that can be considered in work-related stress (WRS) assessments. To this end, combining MCDM methods is a suitable approach to determine the factors’ importance coefficients.

This tool allows an organization to control work stress on the basis of one particular criterion or multiple criteria. The case study results showed that this tool makes the implementation of corrective measures much easier to manage based on the risk level of each dimension.

LinkedIn, as a professional networking platform, plays a crucial role in connecting professionals globally and facilitating their professional growth. This study aims to analyse the perceptions of architects and designers regarding the utilisation of LinkedIn for career development.

The research focuses on gathering professional perceptions and opinions through a qualitative analysis of primary data. A semi-structured interview approach was used for data collection. The study selected 12 actively engaged professionals from the architecture and design industry in Perth, Western Australia, who actively use LinkedIn.

The study's findings reveal diverse opinions and experiences among professionals in the architecture and design industry regarding LinkedIn. It identifies several positive impacts of LinkedIn on the Australian architecture and design industry. Architects and designers recognise the potential benefits of LinkedIn in expanding their professional networks, showcasing their work, accessing learning opportunities and contributing to industry outcomes. They also appreciate the platform's ability to connect them with peers, clients, suppliers and industry, fostering knowledge sharing and collaboration in the evolving work environment.

This study contributes to the existing literature by extending the understanding of the importance of self-presentation on LinkedIn, identifying factors influencing career goal achievement and highlighting the role of professional connections on social media. It establishes connections between 21st-century online innovations and their practical applications within the relevant context.

This paper aims to analyze the scientific trend of research on Islamic banking sustainability (IBS) through a bibliometric study. In particular, the paper extensively investigates all the articles issued through the Scopus database regarding the IBS.

The authors discovered 76 papers that met the function, subject and set requirements by using the phrase IBS. The authors used VOSviewer as an analytical tool and the Scopus website.

IBS publications were found in the period 2005–2022, and the publication trend of IBS research demonstrates that it is growing exponentially after 2018. Malaysia is the leading country in terms of productive authors, universities, number of documents, citations and collaboration research on IBS. The current research trends are summarized into five cluster maps for future research directions: sustainability measurement, sustainability practices, risk and governance, corporate social responsibility (CSR) and IBS theory. The Maqashid al Shariah approach conceptually influences the framework for constructing the dimensions and indicators used to measure the IBS.

The authors retrieved data for their research from the Scopus database; using other databases might result in totally different research patterns with this IBS bibliometric research.

The research encompasses valuable implications for Islamic banking as it offers valuable insights on how to assess the performance of IBS. Particularly, it contributes to identifying the dimensions and indicators needed to measure IBS performance. Furthermore, this research provides strategic initiatives to promote sustainable practices in Islamic banking in terms of green financing taxonomy, services, operations, risk management and governance.

This research is valuable for other scholars as it offers a foundation for the future growth of IBS research, focusing on important sustainability clusters obtained from selected reputable journals. This research is beneficial for regulators in enhancing the roadmap for establishing and enhancing long-term IBS with impacts on socio-economic, environmental and governance.

The study presents a concise review of the bibliometric study in IBS and provides recommendations for future research directions in cluster mapping of themes and subthemes. There is still insufficient research that examines the IBS, in particular, complete insights into the IBS literature review.

This paper aims to examine the mediating role of employees’ intrinsic motivation in the relationship between perceived ambidextrous organizational culture and innovative behaviour among information technology (IT) sector employees.

The study used a quantitative research methodology, using a questionnaire to gather data from a sample of 510 employees across a range of IT organizations and various roles in the Indian IT sector. Smart partial least squares structural equation modeling Version 3 was used for the analysis and interpretation of the study.

The findings revealed a significant positive relationship between perceived ambidextrous organizational culture and employees’ innovative behaviour in the Indian IT sector. Moreover, the study established that employees’ intrinsic motivation played a significant mediating role in this relationship.

This study stands out for its exploration into how employees’ intrinsic motivation mediates the relationship between ambidextrous organizational culture and innovative behaviour. It offers valuable insights for enhancing organizational creativity by understanding the critical role of intrinsic motivation.

Despite a growing number of manufacturing firms actively collaborating with ecosystem members aiming for advanced service solutions, it remains unclear how digital collaboration capability (DCC) affects incremental service innovation (ISI) and radical service innovation (RSI) in the context of ecosystems. Drawing on dynamic capabilities theory and resource orchestration theory, this study aims to investigate the impacts of DCC on ISI/RSI and examine the mediating role of organizational agility (OA).

In this empirical paper, the authors obtained questionnaire data from 238 Chinese manufacturing firms embedded in the ecosystems. Then, the authors examined all the hypotheses through hierarchical regression analyses.

The empirical evidence indicates that DCC has a distinct effect on ISI and RSI. DCC positively affects ISI, whereas DCC shows an inverted U-shaped effect on RSI. In addition, OA mediates the positive effect of DCC on ISI within a certain range, whereas OA always mediates the inverted U-shaped effect of DCC on RSI.

This study enriches and extends existing research on DCC and service innovation by elucidating the heterogeneous effects of DCC on ISI/RSI and the complicated mediating role of OA. This study also has practical implications for manufacturing firms to revisit their collaboration capability and agility to boost ISI/RSI in the context of ecosystems.

Production systems occupy geographically dispersed organizations with limited visibility and transparency. Such limitations create operational inefficiencies across the Supply Chain (SC). Recently, researchers have started exploring applications of Digital Twins Technology (DTT) to improve SC operations. In this context, there is a need to provide comprehensive theoretical knowledge and frameworks to help stakeholders understand the adoption of DTT. This study aims to fulfill the research gap by empirically investigating DTT readiness to enable transparency in SC.

A comprehensive literature survey was conducted to develop a theoretical model related to Supply Chain Transparency (SCT) and DTT readiness. Then, a questionnaire was developed based on the proposed theoretical model, and data was collected from Indian manufacturers. The data was analyzed using Confirmatory Factor Analysis (CFA) and Structural Equation Modelling (SEM) to confirm the proposed relationships.

The findings from the study confirmed a positive relationship between DTT implementation and SCT. This study reported that data readiness, perceived values and benefits of DTT, and organizational readiness and leadership support influence DTT readiness and further lead to SCT.

This study contributes to the literature and knowledge by uniquely mapping and validating various interactions between DTT readiness and sustainable SC performance.

Managers and scholars alike claim that artificial intelligence (AI) represents a tool to enhance supply chain collaborations; however, existing research is limited in providing frameworks that categorise to what extent companies can apply AI capabilities and support existing collaborations. In response, this paper clarifies the various implications of AI applications on supply chain collaborations, focusing on the core elements of information sharing and trust. A five-stage AI collaboration framework for supply chains is presented, supporting managers to classify the supply chain collaboration stage in a company’s AI journey.

Using existing literature on AI technology and collaboration and its effects of information sharing and trust, we present two frameworks to clarify (a) the interrelationships between information sharing, trust and AI capabilities and (b) develop a model illustrating five AI application stages how AI can be used for supply chain collaborations.

We identify various levels of interdependency between trust and AI capabilities and subsequently divide AI collaboration into five stages, namely complementary AI applications, augmentative AI applications, collaborative AI applications, autonomous AI applications and AI applications replacing existing systems.

Similar to the five stages of autonomous driving, the categorisation of AI collaboration along the supply chain into five consecutive stages provides insight into collaborations practices and represents a practical management tool to better understand the utilisation of AI capabilities in a supply chain environment.

This paper aims to trace how Asian American girls engaged with civic learning in a virtual out-of-school literacy community featuring a curriculum of diverse literary texts.

The researcher used practitioner inquiry to construct a virtual literacy education community dedicated to the civic learning of Asian American girls.

The paper explores how participants mobilized critical practices of textual consumption and production rooted in their intersectional identities and embodied experiences to make meaning of the civic constraints and affordances of marginalized identities and to read and (re)design author choices for civic purposes. These findings – examples of youths’ critical civic meaning-making – indicate how they claimed space for Asian American civic girlhoods in literacy education.

This paper foregrounds how Asian American girls mobilize critical processes of text consumption and production to assert civic identities in literacy education – a significantly under-examined topic in literacy studies. This work has implications for how literacy practitioners and scholars can prioritize Asian American civic girlhoods through pedagogy and research.

COVID-19 is an infectious disease caused by the SARS-CoV-2 virus. Considering the restricted and enclosed nature of prisons and closed environments and the prolonged and close contact between individuals, COVID-19 is more likely to have a higher incidence in these settings. This study aims to assess the prevalence of COVID-19 among prisoners.

Papers published in English from 2019 to July 7, 2023, were identified using relevant keywords such as prevalence, COVID-19 and prisoner in the following databases: PubMed/MEDLINE, Scopus and Google Scholar. For the meta-analysis of the prevalence, Cochrane’s Q statistics were calculated. A random effect model was used due to the heterogeneity in COVID-19 prevalence across included studies in the meta-analysis. All analyses were performed in STATA-13.

The pooled data presented a COVID-19 prevalence of 20% [95%CI: 0.13, 0.26] and 24% [95%CI: 0.07, 0.41], respectively, in studies that used PCR and antibody tests. Furthermore, two study designs, cross-sectional and cohort, were used. The results of the meta-analysis showed studies with cross-sectional and cohort designs reported 20% [95%CI: 0.11, 0.29] and 25% [95%CI: 0.13, 0.38], respectively.

Through more meticulous planning, it is feasible to reduce the number of individuals in prison cells, thereby preventing the further spread of COVID-19.