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This paper aims to identify what ethical attributes tourists associate with national parks’ brands shown on food souvenir labels and the influence of such attributes on purchase motivations.

An exploratory study was carried out involving a total of 102 Italian tourists, who were interviewed at two different souvenir shops in Italy. Respondents were first asked to describe what images and values they were associating with the visited Italian National Park. The second level of questions related to the association of food products with national parks and the purchase motivations of food products branded with the national park’s label. The ethical attributes associated with the national parks’ brands and their relevance in purchase motivations were detected and analyzed through content analysis.

The analysis of the national park brand allows highlighting the food souvenir role in communicating ethical values that influence the perceived quality of food as well as tourists’ purchase motivations. The analysis reveals interesting implications for the enhancement of local productions in tourist destinations, more specifically, how the place brand can act as a valuable communication tool. Particular attention is given to the crucial role that national parks’ brands play in strengthening the value proposition of small businesses located within parks. This vision must be implemented from the perspective of mutual promotion of local food and tourism in these parks.

The results of this paper contributed to the literature by filling the gap regarding the role of place brands in promoting food souvenirs.

The study’s purpose is to understand how online communities, thanks to their knowledge-sharing potential, can help to achieve the principles of a human-centered society. The social capital theory is applied to understand knowledge contribution and knowledge sharing in online communities.

A qualitative approach based on a single case study of an international online community is adopted.

The case study highlights how each social capital facet unfolds within the online community to model efficient knowledge exchange among members. The developed social capital generates benefits at three interconnected system levels: micro (individuals), meso (companies), and macro (society).

The paper makes several contributions to the literature on Society 5.0, social capital theory, and knowledge management by bringing the needed empirical evidence on how to exploit online digital technologies to generate the benefits associated with Society 5.0. It also demonstrates that social capital theory is a valuable theoretical lens through which to explain how knowledge-sharing and exchange mechanisms in online communities contribute to shaping a human-centered society.

This paper aims to gain insights into the paradoxical tensions emerging from circular business model innovation (CBMI) and how to overcome them by developing a theoretical framework drawing on two theoretical streams: firstly, the paradox theory for shedding light on the often “invisible” contradictions generated by the implementation of circular economy (CE) principles in business model transformation; and secondly, the dynamic capability theory that can contribute to the investigation of how to manage these contradictions.

The study uses a longitudinal case study approach to gain an in-depth understanding of the transformation and challenges faced by an incumbent firm in adopting a circular business model. Qualitative research methods are used to explore the paradoxical tensions and dynamic capabilities involved in the process.

The study finds that incumbent firms face numerous challenges and paradoxical tensions in the CBMI process. These tensions arise from difficulties in implementing organizational changes, balancing competing priorities and managing conflicting goals. Dynamic capabilities are crucial in managing these tensions and facilitating the transition to a circular business model.

This paper contributes to the theoretical development of paradox theory by applying it to the new field of CBMI which is currently slightly investigated and responds to the call for studies looking at more fine-grained types of sustainable business models. The study adds to previous literature that how the firm handles paradoxes and tensions influences the pace and results of the process. If the firm becomes discouraged during the early stages of identifying new opportunities, the pace slows down, and the firm becomes hesitant to collaborate more with partners. Furthermore, the ability to capitalize on these opportunities is affected by these tensions and contradictions.

This paper contributes to the literature by empirically investigating the process of CBMI in incumbent firms. It fills the gap in existing research by examining the existence of paradoxical tensions in a real-life setting and exploring the role of dynamic capabilities in managing these tensions. The findings provide practical insights for firms seeking a transition towards a CE and highlight that the ability to sense the external context should be developed as the new business model entails a central role of external actors.

The aim of this research is twofold: first, to get more insights on digital maturity to face the emerging 4.0 augmented scenario by identifying artificial intelligence (AI) competencies for becoming hybrid employees and leaders; and second, to investigate digital maturity, training and development support and HR satisfaction with the organization as valuable predictors of AI competency enhancement.

A survey was conducted on 123 participants coming from different industries and involved in functions dealing with the ramifications of Industry 4.0 technologies. The sample has included predominately small-to-medium organizations. A quantitative analysis based on both exploratory factor analysis and multiple linear regression was used to test the research hypotheses.

Three main competency clusters emerge as facilitators of AI–human interaction, i.e. leadership, technical and cognitive. The interplay among these clusters gives rise to plastic knowledge, a kind of moldable knowledge possessed by a particular human agent, here called hybrid. Moreover, organizational digital maturity, training and development support and satisfaction with the organization were significant predictors of AI competency enhancement.

The size of the sample, the convenience sampling method and the geographical context of analysis (i.e. California) required prudence in generalizing results.

Hybrids’ plastic knowledge conceptualized and operationalized in the overall quantitative analysis allows them to fill in the knowledge gaps that an AI agent-human interplay may imply, generating alternative solutions and foreseeing possible outcomes.

The ongoing paradigm shift in the energy sector holds paramount implications for the realization of the sustainable development goals, encompassing critical domains such as resource optimization, environmental stewardship and workforce opportunities. Concurrently, this transformative trajectory within the power sector possesses a dual-edged nature; it may ameliorate certain challenges while accentuating others. In light of the burgeoning research stream on open innovation, this study aims to examine the intricate dynamics of knowledge-based industry-university-research networking, with an overarching objective to elucidate and calibrate the equilibrium of ambidextrous innovation within power systems.

The authors scrutinize the role of different innovation organizations in three innovation models: ambidextrous, exploitative and exploratory, and use a multiobjective decision analysis method-entropy weight TOPSIS. The research was conducted within the sphere of the power industry, and the authors mined data from the widely used PatSnap database.

Results show that the breadth of knowledge search and the strength of an organization’s direct relationships are crucial for ambidextrous innovation, with research institutions having the highest impact. In contrast, for exploitative innovation, depth of knowledge search, the number of R&D patents and the number of innovative products are paramount, with universities playing the most significant role. For exploratory innovation, the depth of knowledge search and the quality of two-mode network relations are vital, with research institutions yielding the best effect. Regional analysis reveals Beijing as the primary hub for ambidextrous and exploratory innovation organizations, while Jiangsu leads for exploitative innovation.

The study offers valuable implications to cope with the dynamic state of ambidextrous innovation performance of the entire power system. In light of the findings, the dynamic state of ambidextrous innovation performance within the power system can be adeptly managed. By emphasizing a balance between exploratory and exploitative strategies, stakeholders are better positioned to respond to evolving challenges and opportunities. Thus, the study offers pivotal guidance to ensure sustained adaptability and growth in the power sector’s innovation landscape.

The primary originality is to extend and refine the theoretical understanding of ambidextrous innovation within power systems. By integrating several theoretical frameworks, including social network theory, knowledge-based theory and resource-based theory, the authors enrich the theoretical landscape of power system ambidextrous innovation. Also, this inclusive examination of two-mode network structures, including the interplay between knowledge and cooperation networks, unveils the intricate interdependencies between these networks and the ambidextrous innovation of power systems. This approach significantly widens the theoretical parameters of innovation network research.

This paper aims to provide insight into the evolving relationship between humans and machines, understanding its multifaceted impact on our lifestyle and landscape in the past as well as in the present, with implications for the near future. It uses bibliometric analysis combined with a systematic literature review to identify themes, trace historical developments and offer a direction for future human–machine interactions (HMIs).

To provide thorough coverage of publications from the previous four decades, the first section presents a text-based cluster bibliometric analysis based on 305 articles from 2,293 initial papers in the Scopus and Web of Science databases produced between 1984 and 2022. The authors used VOS viewer software to identify the most prominent themes through cluster identification. This paper presents a systematic literature review of 63 qualified papers using the PRISMA framework.

Next, the systematic literature review and bibliometric analysis revealed four major historical themes and future directions. The results highlight four major research themes for the future: from Taylorism to advanced technologies; machine learning and innovation; Industry 4.0, Society 5.0 and cyber–physical system; and psychology and emotions.

There is growing anxiety among humankind that in the future, machines will overtake humans to replace them in various roles. The current study investigates the evolution of HMIs from their historical roots to Society 5.0, which is understood to be a human-centred society. It balances economic advancement with the resolution of social problems through a system that radically integrates cyberspace and physical space. This paper contributes to research and current limited knowledge by identifying relevant themes and offering scope for future research directions. A close look at the analysis posits that humans and machines complement each other in various roles. Machines reduce the mechanical work of human beings, bringing the elements of humanism and compassion to mechanical tasks. However, in the future, smart innovations may yield machines with unmatched dexterity and capability unthinkable today.

This paper attempts to explore the ambiguous and dynamic relationships between humans and machines. The present study combines systematic review and bibliometric analysis to identify prominent trends and themes. This provides a more robust and systematic encapsulation of this evolution and interaction, from Taylorism to Society 5.0. The principles of Taylorism are extended and redefined in the context of HMIs, especially advanced technologies.

The purpose of this study is to analyze the link between innovation technology (IT), relationships which affect the relational capital (RC), and intangible value for the environment, focusing on small and medium enterprises (SMEs) of agro-food sector (AFS) in which these topics are prominent.

This paper adopts a qualitative research methodology, based on a multiple case study. The empirical data were obtained from interviews designed to reveal the determinants of the Paoloni's CAOS model (characteristics, ambience, organization, start-up) useful to analyze the relational capital from the firm's perspective. The content analysis shows the most important factors influence the relationships of the companies analyzed.

The empirical analysis highlights the strong link between tradition and innovation in the AFS and its positive effects on corporate sustainability and company relationships as well as in enhancing knowledge. The introduction of ITs and the positive effects it produces in terms of efficiency, product quality, environmental sustainability and new communication channels is an important factor that influences business's relationships.

This paper contributes to the RC literature by stressing how ITs improve not only the executive process and performance of SMEs, but also the intangible resources of the territory. Accordingly, it provides both triggers for future research in the AFS, as well as suggestions to SMEs decision-makers to enhance their competitiveness. Furthermore, the paper offers insights to push policy makers in adopting policies that favor ITs investments in the AFS.

This paper aims to contribute to overcoming the gap existing in the supply chain literature related to digital servitization by bridging digital servitization with knowledge management and identifying the rise of digital knowledge servitization as a driver for changes in the supply chain business model towards open innovation.

The study follows an inductive grounded theory approach for theory building. To analyse the impact of digital knowledge servitization, in-depth interviews of managers in the main business units of the Volvo Group supply chain ecosystem were carried out.

The results show how the digital servitization process affects the supply chain business model, highlighting the central role of knowledge in the service ecosystem and the rise of the theoretical concept of digital knowledge servitization. In particular, through the Innovation Lab (Volvo Group) study, the paper contributes to bringing together the theoretical knowledge-based view of servitization with the digital servitization concept, which demonstrates the role of this combined perspective in the transformation of the supply chain; this is carried out by introducing a new business model based on open innovation in inbound and outbound processes.

The research offers interesting insights from a managerial perspective, as increasingly advanced and complex digital solutions require shorter times in supply chain management (SCM). Companies need to be able to quickly manage information and knowledge flows deriving from internal and external interactions and involvement with external actors upstream and downstream of the supply chain ecosystem. Therefore, the digital knowledge servitization of the supply chain also highlights implications for managers in terms of human resources management.

The novel research goal is to contribute to the supply chain literature by integrating the digital servitization with the knowledge view and analysing the impact on the inbound and outbound supply chain through the introduction of an open innovation business model.

Existing literature is limited in its ability to consider start-ups as a knowledge broker to trigger innovation in a supply chain ecosystem (SCE). In a traditional SCE, start-ups are relatively isolated, leading to structural holes that limit knowledge sharing among members. This paper aims to overcome that limitation and to build frameworks that help to illustrate the interaction between knowledge management and sharing, start-up innovation and an ecosystem from a supply chain perspective.

Following a qualitative approach, this study theorizes about the role of start-ups as knowledge brokers and the implications of knowledge management and sharing with members in an SCE concerning innovation. Conceptual analysis is used for examination, and this study uses a set of qualitative tactics to interpret and generate meaning from the existing literature.

This study develops two frameworks to provide insight into how start-ups can trigger innovation as knowledge brokers in an SCE. The first framework shows how start-ups, and their knowledge base, influence supply chain members and the overall ecosystem, highlighting the isolated function of start-ups and the issue of structural holes in a traditional SCE. The authors propose a model that illustrates how structural holes can be bridged within an SCE, thereby demonstrating how start-ups redefine the ecosystem architecture according to their knowledge broker position in the SCE.

By expanding insight into the concepts of how start-ups can trigger innovation as knowledge brokers in an SCE, this paper extends the so-far neglected area of start-ups and knowledge brokers. This study clarifies the conceptual and theoretical components and processes in an SCE and links the different roles of start-ups as knowledge brokers to the respective supply chain members to better understand the implications on the entire SCE.

This study aims to investigate the efficacy of the supply network approach in bolstering supply chain resilience amidst escalating global uncertainty. With enterprises worldwide facing increasing threats that disrupt supply chains, this research explores how firms enhance supply network resilience during crises.

Using a multi-case study design, this research thoroughly examines interactions within firms’ supply networks to uncover new insights on supply network approach and how firms enhance supply network resilience against global uncertainty. The selection of cases was methodologically aligned to represent diverse industries and geographical locations to ensure a comprehensive analysis.

This study’s findings reveal how firms develop supply network resilience during global crises. The supply network perspective provides a deeper understanding of how firms manage supply chain interactions, interdependencies and strategic positions to survive and thrive during crises. The conceptual framework developed here provides insights that can foster improved coordination and facilitate effective temporary organising. The framework highlights the need for firms to proactively seize opportunities and mitigate risks within their global supply chains during crises to boost overall resilience.

Offering novel insights into the domain of supply chain networks, this study underscores novel perspectives of the supply network approach when firms develop supply chain resilience during global crises. Highlighting the adaptive responses of firms that integrate these approaches enriches the understanding of strategic manoeuvres firms can use to navigate global uncertainty and secure supply chain continuity.