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The sustainable transition towards the circular economy requires the effective use of artificial intelligence (AI) and information technology (IT) techniques. As the sustainability targets for 2030–2050 increasingly become a tougher challenge, society, company managers and policymakers require more support from AI and IT in general. How can the AI-based and IT-based smart decision-support tools help implementation of circular economy principles from micro to macro scales?

This chapter provides a conceptual framework about the current status and future development of smart decision-support tools for facilitating the circular transition of smart industry, focussing on the implementation of the industrial symbiosis (IS) practice. IS, which is aimed at replacing production inputs of one company with wastes generated by a different company, is considered as a promising strategy towards closing the material, energy and waste loops. Based on the principles of a circular economy, the utility of such practices to close resource loops is analyzed from a functional and operational perspective. For each life cycle phase of IS businesses – e.g., opportunity identification for symbiotic business, assessment of the symbiotic business and sustainable operations of the business – the role played by decision-support tools is described and embedding smartness in these tools is discussed.

Based on the review of available tools and theoretical contributions in the field of IS, the characteristics, functionalities and utilities of smart decision-support tools are discussed within a circular economy transition framework. Tools based on recommender algorithms, machine learning techniques, multi-agent systems and life cycle analysis are critically assessed. Potential improvements are suggested for the resilience and sustainability of a smart circular transition.

Knowledge transfer is recognized as a fundamental issue for organizations. This research aims at investigating the knowledge transfer process, and finding out the most efficient and effective strategies to support it. Particularly, the research is focused on studying support strategies based on the use of technology. The paper proposes a model that describes both knowledge acquisition and practice. The model components are the actors’ cognitive systems, the processes of codification and interpretation, and the object transferred. The model predicts that a better understanding of knowledge transfer can be achieved by distinguishing organizational similarity from dissimilarity, training from fertilization, and autonomous from interactive practice. This is particularly helpful to discuss what the role and value of technology are in supporting knowledge transfer in organizations effectively.

This study investigates the relationship between the strength of innovative entrepreneurial ecosystems and subjective well-being in 43 European smart cities. Subjective well-being is operationalized by a Quality of Life (QOL) survey that references the level of multidimensional satisfaction or happiness expressed by residents at the city level. The entrepreneurial ecosystem concept depicted here highlights actor interdependence that creates new value in a specific community by undertaking innovative entrepreneurial activities. The research uses objective and subjective variables to analyze the relationships between the entrepreneurial ecosystem and subjective well-being.

The authors conducted a cluster analysis with a nonaggregative quantitative approach based on the theory of the partially ordered set (poset); the objective was to find significant smart city level relationships between the entrepreneurial ecosystem and subjective well-being.

The strength of the entrepreneurial ecosystem is positively related to subjective well-being only in large cities. This result confirms a strong interdependency between the creation of innovative entrepreneurial activities and subjective well-being in large cities. The smart cities QOL dimensions showing higher correlations with the entrepreneurial ecosystem include urban welfare, economic well-being and environmental quality, such as information and communications technology (ICT) and mobility.

Despite the main implications being properly referred to large cities, the governments of smart cities should encourage and promote programs to improve citizens' subjective well-being and to create a conducive entrepreneurship environment.

This study is one of the few contributions focused on the relationship between the entrepreneurial smart city ecosystem and subjective well-being in the urban environment.

Following the line traced by two previous works of Albino et al. and Messeni Petruzzelli, the paper aims to analyze how technology districts reach and acquire external competencies and capabilities by means of organizational and cognitive proximity. This allows districts to modify their geographical boundaries and evolve into technology clusters.

The research design is based on a case study methodology. In particular, two actual technology districts are analyzed, namely Castel Romano and Toulouse, in order to show how they use organizational, and cognitive proximity to acquire external knowledge sources and re‐shape their geographical boundaries.

Based on the findings of the empirical study, two main propositions are formulated. The first proposition refers to the negative relationship between the geographical distance to the district's actors and the use of organizational proximity as a means for reaching external knowledge sources. By contrast, the second proposition indicates the positive relationship between the geographical distance to the district's actors and the use of cognitive proximity as a means for reaching external knowledge sources.

As regards the firm strategic behaviors, it seems particularly crucial to exploit all the three dimensions of proximity, in order to guarantee openness and sustain innovativeness and competitiveness. Concerning policy implications, the local governments should address their actions to help and promote the openness of technology districts and the formation of technology clusters. With this aim, actions should be devoted also to sustaining single local firms that are part of a technology cluster but not of a technology district. These, in fact, by increasing their competitive position, may generate positive externalities in the local area, fostering the diffusion and sharing of knowledge in the area and, then, acting as knowledge gatekeepers for the whole area.

The paper extends the findings of previous works linking three proximity dimensions in a holistic framework that explains the different use of organizational and cognitive proximity to acquire knowledge, according to the geographical distance between organizations.

This chapter explores the evolution of smart city thinking in order to have a clear understanding of what is involved in effectively and sustainably implementing a Smart City 4.0 strategy. The chapter illustrates that the concept of smart cities has evolved from the technology driven implementations to Cities as Open Innovation Platforms. These open and participatory platforms facilitate the interaction and collaboration of the city's citizens, government, industry, entrepreneurs, academia, creatives and the social sector so that they can harness their collective intelligence for innovation, experimentation and implementation of solutions that creates real transformational value for the betterment of the city's and its stakeholders. The author also identifies the key dimensions on which a smart city 4.0 concept must be built upon but highlights that depending on the composition of its stakeholder ecosystem, the City will prioritise different dimensions and so each smart city is unique. The chapter builds upon the experience of implementing a Smart City 4.0 project in Waterford, Ireland. Details of the smart city initiatives implemented are illustrates with examples.

Knowledge assumes a pivotal role in the open innovation (OI) paradigm. Yet OI has been scantly investigated by adopting a knowledge management (KM) lens. Therefore, the purpose of this paper is to provide a systematic literature review of the KM practices analysed by prior literature to support OI activities.

To perform a valuable literature review, the steps for systematic review proposed by previous studies have been adopted. These steps have yielded a final sample of 34 articles. Afterward, the authors have distinguished and analysed the identified articles according to the three main OI processes, i.e. inbound, outbound and coupled OI processes.

This research groups and highlights the most relevant KM practices to support OI activities on the basis of the inbound, outbound and coupled OI processes.

Despite knowledge is the most relevant resource exchanged in OI activities, this is the first attempt to highlight how knowledge should be managed in an OI context by adopting a KM lens. Furthermore, the authors also identify relevant topics that have been so far understudied, which the authors suggest as future research directions.

During the supply chain disruptions caused by COVID-19, logistics service providers (LSPs) have invested heavily in innovations to enhance their supply chain resilience capabilities. However, only little attention has been given so far to the nature of these innovative capabilities, in particular to what extent LSPs were able to repurpose capabilities to build supply chain resilience. In response, using the concept of exaptation, this study identifies to what extent LSPs have discovered and utilized latent functions to build supply chain resilience capabilities during a disruptive event of high impact and low probability.

This conceptual paper uses a theory building approach to advance the literature on supply chain resilience by delineating the relationship between exaptation and supply chain resilience capabilities in the context of COVID-19. To do so, we propose two frameworks: (1) to clarify the role of exaptation for supply chain resilience capabilities and (2) to depict four different exaptation dimensions for the supply chain resilience capabilities of LSPs.

We illustrate how LSPs have repurposed original functions into new products or services to build their supply chain resilience capabilities and combine the two critical concepts of exploitation and exploration capabilities to identify four exaptation dimensions in the context of LSPs, namely impeded exaptation, configurative exaptation, transformative exaptation and ambidextrous exaptation.

As one of the first studies linking exaptation and supply chain resilience, the framework and subsequent categorization advance the understanding of how LSPs can build exapt-driven supply chain resilience capabilities and synthesize the current literature to offer conceptual clarity regarding the varied implications and outcomes linked to the repurposing of capabilities.

Many European businesses are small and medium enterprises (SMEs), contributing significantly to the well-being of local economies and regions. Even so, SMEs face many challenges in fostering innovation and improving performance. Furthermore, the raw material consumption is increasing globally, necessitating the development of strategies that will reduce the number of raw materials extracted and imported while improving the sustainability of small and medium-sized businesses. Consequently, promoting circular economy (CE) strategies, such as industrial symbiosis (IS) partnerships, whereby waste products from other industries serve as a source of raw materials for companies, is critical. Identifying and analysing enablers or drivers that support IS collaborations among SMEs is necessary to achieve this goal. In this regard, the purpose of this study will explore the enablers of IS among SMEs considering sustainability dimensions (environmental, social and economic). As facing a decision-making (DM) problem, the multiple attribute decision-making (MADM) approach was applied in a hesitant fuzzy (HF) environment in this research to answer the research questions. In this regard, in phase 1, IS enablers were identified and extracted using a literature review and experts’ opinions. In phase 2, the hesitant fuzzy Delphi (HFD) method was implemented to screen and finalise the enablers identified. In phase 3, casual relations among final enablers were determined using the hesitant fuzzy ANP (HF-ANP) method. Finally, in phase 4, the relative importance of enablers was calculated using the hesitant fuzzy best–worst method (HF-BWM). Consequently, this study provided potential strategies for IS that can be implemented quickly and used by local authorities to support SMEs in achieving circular waste management.

Small and medium enterprises (SMEs) are expected to be more creative and innovative to survive in the business competition and to make their businesses environmentally friendly, to develop global supply chain strategies, and to make innovations in products and business processes to become indispensable. This study discusses the effect of green supply chain integration (GSCI) and environmental uncertainty on performance through the moderation of green innovation. Structural equation modeling and maximum likelihood estimation were used to analyze a sample of 130 SMEs in East Java, Indonesia. The result shows that GSCI and environmental uncertainty significantly affect performance, and green innovation significantly moderates the effect. This research found that SME’s performance is influenced by GSCI concept and green innovation application as well as SME’s understanding about recent and future environmental uncertainties; this fits the market demand.

Into cultural and creative industries, the innovation is increasingly realized by a lead creator which is supported by a specific team. Hence, this paper aims to understand the composition of this particular team.

The authors conducted an in-depth case study of “Dal Pescatore”. This is the Italian restaurant keeping the highest award previewed by Michelin Guide from the longer period. The main figures of the restaurant are the head chefs (Nadia and Giovanni Santini) who are continually supported by a dedicated team

The analysis underlines the necessity to create a team which combines aged people linked to firms’ tradition with a low percentage of young foreign apprentices. If the old-timer member assures a deep understanding of the firm’s knowledge base, the young foreign apprentice can show an high learning attitude through which he/she more easily shares their different knowledge.

This study discussed organizational efforts to foster innovation capacities of the main individuals into a firm. However, the present research suffers from some limitations which limits the generalizability of the results beyond the company studied: a single case study on a small and family firm with consolidated organizational routines. In addition, this research does not solutions about the mechanisms of interaction among these different team members.

Recent studies observed how a number of cultural and creative firms innovate through a particular team that develops the ideas of a lead creator. Nevertheless, despite the increasing importance of these teams, their composition remains unclear.