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Purpose: This piece delves into the transformative potential of artificial intelligence (AI) in the healthcare field within the emerging realm of Industry 5.0, highlighting a people-focused and eco-friendly approach.

Need for the study: While Industry 4.0 set the foundation for digitization in healthcare, it frequently overlooked the human factor and concerns about sustainability. Industry 5.0 tackles these deficiencies by giving importance to human welfare, efficiency in resource usage, and societal consequences alongside technological progress.

Methodology: This research utilizes a survey of existing written works on Industry 5.0, AI in healthcare, and associated empowering technologies. It also leans on insights from recent investigations and business actions to pinpoint current patterns and future paths.

Findings: This chapter showcases how AI-driven solutions can greatly alter various facets of healthcare. Some of these healthcare facets encompass personalized medicine and treatment, intelligent diagnostics and decision support, robot-supported surgery and care, and enhanced availability and affordability.

Practical applications: This piece offers valuable perspectives for healthcare investors. These investors cover healthcare suppliers, technology creators, rule creators, and patients. By embracing the standards of Industry 5.0, the merging of AI into healthcare brings significant potential for crafting a more competent, sustainable, and people-centered healthcare network that benefits both patients and society as a complete unit. This research investigates the stance, viewpoints, and potential impacts of machine intelligence (MI) in health with an emphasis on Industry 5.0.

The importance of key account management (KAM) as a management technique in business-to-business markets has grown in recent years. The success of KAM programmes is highly dependent on the efforts of individual employees, specifically key account managers. Research on KAM at an individual level is important but lacking in the academic domain. This study aims to fill this gap by developing and evaluating a model of key account manager personality traits and how they impact the adoption of artificial intelligence (AI) technologies. The study also depicts the effect of the adoption of AI technologies on competitive advantage and firm performance.

The study examines how the adoption of AI technologies impacts firms’ competitive advantage and performance. The study used competitive advantage as a mediator and organisational culture as a moderator. A mixed-method analysis was used to conduct the study. In the first phase, an exploratory study was conducted using interviews with 26 key account managers from the automobile industry and thematic analysis to establish 9 constructs. In the second phase, which is a confirmatory study, 496 respondents finally responded to the questionnaire.

All constructs are used for confirmatory analysis and validate the data. Our research shows that key account managers’ adoption of AI technologies is influenced significantly by personality traits. Extraversion, agreeableness, conscientiousness, neuroticism and openness have substantial links to adopting AI technologies, which impacts firms’ competitive advantage and performance. Organisational culture significantly moderates the association between agreeableness and the adoption of AI technologies.

The findings of this research allow organisations to optimise team composition, customise training programs based on individual traits and incorporate personality assessments into recruitment processes for streamlined technology adoption and improved competitiveness. Overall, these actions aim to enhance AI integration, driving competitive advantage and client satisfaction.

This study stands out as one of the limited inquiries examining how the Big-five personality traits of key account managers influence the integration of AI technologies and its resulting impact on company performance. Therefore, this research makes notable contributions to the realms of organisational psychology and technology adoption studies.

Blockchain technology, renowned for its decentralization, security, reliability, and data integrity, has the potential to revolutionize businesses globally. However, its full potential remains unrealized due to adoption barriers, necessitating further studies to address these challenges. Identifying these barriers is crucial for businesses and practitioners to effectively tackle them. This systematic review analyzed 70 eligible studies out of 1944 gathered from various databases to understand and identify common blockchain adoption barriers. The Technology–Organization–Environment (TOE) framework was the most popular theory used in these studies. Despite differences in variable definitions, financial constraints, lack of stakeholder collaboration and coordination, and social influences like resistance to change and negative perceptions emerged as the top three barriers. The supply chain domain had the highest number of studies on blockchain adoption. Notably, there was a significant increase in studies addressing blockchain adoption in 2023, comprising 34.2% of the total reviewed studies. This review provides a comprehensive overview of identified barriers, serving as a valuable foundation for future research. Understanding these challenges allows researchers to design targeted studies aimed at developing solutions, strategies, and innovations to overcome obstacles hindering blockchain adoption.

This study aims to develop an agile blockchain as a service (aBaaS) framework for construction projects, which will support blockchain design, deployment and operation in a flexible, agile and cost-effective manner.

This research adopts a design science research method. The aBaaS framework is then substantiated through two case studies pertinent to construction projects.

It is found to be highly flexible, achieving high completion rates in customizing the design, deployment and visualization of blockchain systems within given periods. Also, the aBaaS framework is highly agile and cost-effective, capable of responding to changes with low person-day units and labor cost.

Limited sub-service components are built in design management as services (DMSs), deployment as services (DESs) and visualization as services (VISs) of aBaaS framework.

This research offers a reference for those aiming to realize the potential of blockchain in construction projects.

Firstly, it introduces a novel, flexible modular-build DMSs method to help system developers design blockchain systems for projects. Secondly, it improves the blockchain deployment methods by offering plug-and-play DESs for projects. Thirdly, it accelerates the visualization processes for blockchain users in projects by offering them flexible, click-to-go and cost-effective VISs.

This study investigates how corporations navigate the increasingly prominent field of environmental, social and governance (ESG) through the lens of resource dependence theory (RDT). It aims to elucidate the strategic responses of companies to media-driven public sentiment on ESG, examining the alignment of their operations and competitive strategies – specifically differentiation and cost leadership – to the external resource of media ESG sentiment.

Employing Python software, this research extracted over two million ESG-related news articles from Baidu News. Using machine learning and text analysis, the study assesses the media ESG sentiment and its correlation with the competitive strategies of China’s A-share listed companies over a period from 2007 to 2022. The approach leverages RDT to understand how firms adjust their strategies in response to media-driven public sentiment on ESG.

The findings indicate that positive media ESG sentiment acts as a crucial external resource, significantly influencing firms’ strategic alignment toward minimizing ESG public sentiment risks and enhancing competitive positioning, especially in the social (S) and governance (G) domains. This alignment is evident in firms’ adoption of differentiation and cost leadership strategies, affirming the study’s theoretical prediction within the RDT framework.

This paper provides a novel contribution by integrating RDT with the analysis of media-driven ESG sentiment to explore corporate strategic adjustments. It offers empirical evidence on the theory’s applicability in contemporary strategic corporate management, particularly in the context of ESG challenges. The research deepens the understanding of the interplay between media ESG sentiment and corporate strategy, highlighting the strategic importance of positive media sentiment in the ESG landscape.

Purpose: This study examines the integration of smart agriculture and supply chain management systems within Turkey’s agricultural sector under Industry 5.0.

Need for the study: With global challenges like the COVID-19 pandemic and climate change, ensuring safe food production and accessibility is critical. However, there is a gap in understanding the readiness and awareness of Industry 5.0 technologies in agriculture and logistics. This study aims to fill this gap by investigating the adoption and implications of smart agriculture and logistics in Turkey.

Methodology: Drawing on secondary data from regulators, farmers, and supply chain experts, this study employs coding methods, particularly theoretical coding, to develop a framework for assessing the sector’s readiness for smart technologies and Industry 5.0 awareness.

Findings: This study reveals insights into the adoption and impacts of smart agriculture and supply chain systems in Turkey. It identifies factors shaping institutional logics within the sector and explores how Industry 5.0 technologies influence these logics. Additionally, it offers theoretical insights into Turkey’s agricultural future in the Industry 5.0 era.

Practical implications: Practically, this study informs policymakers, regulators, farmers, and supply chain stakeholders about Industry 5.0 technology readiness and awareness in Turkey’s agricultural sector. It guides strategies for smart technology adoption, improving productivity, food safety, accessibility, and sustainability. Furthermore, it contributes to institutional logics literature, shedding light on the independent logics driving organizational settings in smart agriculture and supply chain management.

Purpose: In this chapter of this book, the role and contributions of blockchain in Industry 5.0 are examined. Especially, the advantages offered by blockchain in mass customization, hyper-personalization, human–robot collaboration and cognitive systems, which constitute the main theme of Industry 5.0, are mentioned.

Need for the study: With developing technology, revolutions are taking place in the industry. While these revolutions are occurring, various technologies serve as enablers. In this chapter, one of these technologies, blockchain, is examined.

Methodology: Industrial revolutions represent important technological developments for societies. In this chapter, Industry 5.0, one of these revolutions, is discussed. In the first section, the main themes of Industry 5.0 were examined. Afterward, the transition from Industry 4.0 to Industry 5.0 was analyzed. Then, the opportunities offered by Industry 5.0 were reviewed. Subsequently, the contributions of blockchain to Industry 5.0 were examined. Finally, the role of blockchain in Industry 5.0 is summarized.

Findings: The main themes of Industry 5.0 enable customized processes and smart production approaches. Blockchain makes significant contributions to these processes with its security and traceability features. In addition, smart contracts can increase transparency, traceability and security among stakeholders in the production process with their distributed ledger structure and immutability features. In blockchain networks, each transaction is carried out and approved by consensus. This consensus, provided by smart contracts, also secures transactions by reducing administrative costs. With these contributions, blockchain meets the security and smart management requirements of Industry 5.0.

Livestream selling is becoming an increasingly popular practice adopted by online retailers to develop a consumer-centric supply chain (CCSC). It improves consumer experience by integrating chat, watch and purchase functions, while also altering consumer behaviors by increasing impulse purchases. Online retailers’ responses to this change potentially impact suppliers’ operational processes. This study aims to empirically examine how livestream selling affects suppliers’ operational performance in terms of lead time and how suppliers’ product variety and order fulfillment capabilities moderate such an impact.

Using data from a leading online retailer in China, the authors use a least squares model with fixed effects to test the relationships. Both the two-stage instrumental variable model and the two-stage Heckman model are used to address potential endogeneity in this study.

The findings show that retailers’ usage of livestream selling can increase suppliers’ lead time. Furthermore, the negative impact is enhanced when a supplier has a higher level of product variety or a weaker order fulfillment capability.

This study explores how livestream selling alters consumer behavior, adversely affecting upstream suppliers’ operational performance. It underscores the need for a CCSC approach across all tiers, not just those closest to consumers. To achieve this, the research suggests that suppliers must align their capabilities with retailers’ consumer-centric practices to develop a CCSC, particularly by improving order fulfillment capability and cautiously expanding their product variety in livestream selling. The research further highlights the importance for retailers to consider changes in lead time to enhance the application of traditional inventory theory in the context of livestream selling.

This study provides a comprehensive overview of the research landscape of Kansei engineering (KE) within the domain of emotional clothing design. It explores the pivotal technologies, challenges and potential future directions of KE, offering application methodologies and theoretical underpinnings to support emotional clothing design.

This study briefly introduces KE, outlining its overarching research methodologies and processes. This framework lays the groundwork for advancing research in clothing Kansei. Subsequently, by reviewing literature from both domestic and international sources, this research initially explores the application of KE in the design and evaluation of clothing products as well as the development of intelligent clothing design systems from the vantage point of designers. Second, it investigates the role of KE in the customization of online clothing recommendation systems and the optimization of retail environments, as perceived by consumers. Finally, with the research methodologies of KE as a focal point, this paper discusses the principal challenges and opportunities currently confronting the field of clothing Kansei research.

At present, studies in the domain of clothing KE have achieved partial progress, but there are still some challenges to be solved in the concept, technical methods and area of application. In the future, multimodal and multisensory user Kansei acquisition, multidimensional product deconstruction, artificial intelligence (AI) enabling KE research and clothing sales environment Kansei design will become new development trends.

This study provides significant directions and concepts in the technology, methods and application types of KE, which is helpful to better apply KE to emotional clothing design.

Purpose: Industry 5.0 is a revolution building on the fourth industrial revolution, adopting human-centred production. It aims for a future that enables people to live with high welfare power by combining the power of the technologies it supports and uses with human creativity and skill. The study explores how Industry 5.0 differs from the industrial revolutions that preceded it, highlighting the challenges, benefits, and possible future trends of Industry 5.0 systems.

Need for the study: Industry 5.0 differs from Industry 4.0 – it represents a human-centred and sustainable approach along with the innovations it brings. Examination of the still emerging concept of Industry 5.0 and to investigate the driving forces behind the emergence is needed.

Methodology: The characteristics that distinguish the Industry 5.0 system from the fourth industrial revolution are explored in detail. The areas in which the technologies used in Industry 5.0 provide benefits and the challenges in implementing the system are analysed. The measures to be taken to overcome these difficulties and the deficiencies were investigated.

Findings: The most important principle of Industry 5.0 is human-centred production and technology. In addition, sustainability, personalised production, new business opportunities, more environmentally friendly and renewable energy use, and bioeconomy are shown as innovations brought by Industry 5.0.

Practical implications: The adoption of Industry 5.0 appears to be a mandatory change. In addition, the study emphasises the measures that businesses should take in terms of sustainability, sustainable economy, the importance of the use of renewable energy sources, and much more environmentally friendly and waste-free production.