Search results

Using an abductive perspective, this study aims to review the scientific literature about the governance and management of the digital supply chain (DSC) in the context of the business organizations, providing an overview of the state of the art of the research and outlining a future research agenda with a knowledge management (KM) focus.

After investigating the Scopus database, 54 articles were identified as relevant and then subjected to an initial discernment. After this assessment, 34 articles focusing on operations management were further analyzed through both a bibliometric analysis and a content analysis.

The DSC represents a research area of increasing attention, with relevant contributions to several aspects of the field, as well as about KM. At the same time, the results show that the scientific literature on DSC models, solutions and applications is fragmented. Although the analysis has found a heterogeneous literature, two main streams of research seem to emerge: KM in the business culture development about DSC and KM in the business technological evolution about DSC.

Although there exists growing interest in the scientific community, or perhaps because of this, area of research remains fragmented and under-theorized, thus requiring more systematic studies considering both economic and social aspects of the DSC. This study aims to provide innovative insights about this evolution, especially highlighting the two main contributions of KM in DSCs that have been revealed (business culture development and business technological evolution).

This study aims to examine the effects of Internet of Things (IoT) technology on efficiency and patient care in Italian and Israeli intensive care units (ICUs). The goal is to study how IoT might improve care settings by controlling health dynamics and responding to life-threatening circumstances.

This survey-based research explores IoT use, challenges and adaptability in ICUs in both countries. Interviews and surveys of ICU health-care workers are used to get both quantitative and qualitative data on integrating experiences and perspectives.

The research found significant variations between Italy and Israel due to technology infrastructures and health-care practices. Israel shows a more concentrated deployment in a major medical centre with advanced but limited uptake, whereas Italy shows application throughout ICUs highlighting regional health-care system disparities. Interoperability, data security and IoT training are common difficulties.

This research has limitations. One drawback is the geographical dispersion of study sites, with a bigger sample size in Italy than in Israel. This discrepancy may affect findings applicability. However, these preliminary findings provide a foundation for further research into the complexities of deploying IoT in various health-care settings.

This study compares IoT integration in two national health-care systems, adding to health-care technology literature. Regional variations affect technology adoption, but IoT may enhance ICU operations and patient care, according to one research. This study helps health-care practitioners, academics and policymakers understand the pros and cons of IoT in health care.

This study explores how corporate social responsibility (CSR) and artificial intelligence (AI) can be combined in the healthcare industry during the post-COVID-19 recovery phase. The aim is to showcase how this fusion can help tackle healthcare inequalities, enhance accessibility and support long-term sustainability.

Adopting a viewpoint approach, the study leverages existing literature and case studies to analyze the intersection of CSR and AI. It investigates AI’s capabilities in predictive analytics, telemedicine and resource management within the framework of CSR principles.

Integrating AI and CSR can profoundly enhance healthcare delivery by ensuring equitable access, optimizing resource allocation and fostering trust through transparency and ethical standards. This synergy benefits public health and enhances the corporate image and long-term viability of healthcare organizations.

The study is conceptual and relies on existing literature and case studies. Future research should empirically test the proposed models and frameworks in diverse healthcare settings to validate and refine these insights.

The insights from this study can be directly applied by healthcare organizations to develop policies and practices that integrate AI and CSR. This integration can promote ethical standards, enhance operational efficiency and, most importantly, improve patient outcomes.

Integrating AI and CSR in the healthcare sector carries consequences. It plays a role in promoting fairness among patients, bridging gaps in healthcare services, and boosting trust and independence through the clear and responsible use of AI technologies. This highlights the groundbreaking impact of this research within the healthcare industry.

This paper offers a viewpoint perspective on the strategic alignment of AI and CSR, presenting a novel approach to creating resilient healthcare systems in the post-COVID-19 era. It provides healthcare managers and policymakers with valuable insights on leveraging AI within CSR frameworks to achieve sustainable healthcare solutions, thereby contributing significantly to the field.

This paper explores the intricate evolution of human–machine interaction within the framework of Society 5.0, highlighting how technological advancements influence human behavior and societal progress.

A multidimensional framework is developed through a qualitative approach to analyze the evolution of human–technology interaction. This innovative conceptual model provides a comprehensive understanding of these dynamics.

The proposed model unveils a significant shift from perceiving technology as a mere tool to acknowledging its profound influence on daily routines and potential enhancements. This revelation underscores the critical role of human-centric strategies, enlightening us about the evolving nature of technology.

The study synthesizes existing research to present a comprehensive framework for understanding human–machine interaction, providing insights that can inform future research and theory development.

This study equips policymakers, researchers and practitioners with actionable strategies to enhance technology use. By incorporating human-centric approaches, addressing issues such as technostress and promoting effective digital knowledge management, this research empowers the audience with practical solutions.

The paper underscores the broader impact of technology on societal progress. It emphasizes the importance of incorporating human-centric strategies in technology implementation to promote fairness, inclusivity and overall societal well-being.

This paper introduces an innovative conceptual model based on a multidimensional framework to analyze the complex evolution of human–technology interaction. It enriches the ongoing debate by highlighting the nuanced relationship between humans and technology, addressing significant gaps in existing literature and offering an original interpretative perspective.

Service organizations operate in an increasingly complex and uncertain context that makes decision-making challenging. Despite well-recognized changes in the operational context of government as service organization, service literature has given surprisingly limited attention to what these changes imply for organizational decision-making. This study aims to face with the lack of fit of decision-making theorizing with the reality, within which most service practitioners operate, in order to foster the relevance of decision-making in service research and properly approach the false assumptions and misguided instructions for action.

To rectify the situation, the purpose of this paper is to advance a more holistic understanding of decision-making in government as service organization. The authors do so by reviewing the sparse, though insightful, prior literature on decision-making in service research and identifying four foundational assumptions of decision-making in the service context, that radically differ from the traditional assumptions of decision-making within the wider management literature.

The authors contribute to service research by further advancing the emerging dynamic understanding of decision-making by developing eight systems thinking-informed research propositions and a connected research agenda. In doing so, the paper offers the essential ground work that can revitalize the field of service management and equip it for facing the challenges that government as service organization is encountering in the 21st century.

The formulated eight research propositions demonstrate that decision-making in a government as service organization occurs within complex adaptive systems composed of multiple subsystems and is characterized by a high degree of unpredictability. It is a process influenced by multiple actors part of the system and subsystems, through multiple feedback loops, where the implications of prior decisions inform the future decisions.