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The purpose of this paper is to investigate the characteristics of actors that allow them to relate to others actors in the system through shared intentionality (orientation) and the nature of the A4A relationship and the results that such interactions bring to the emergent system based on this shared purpose (finality).

The topic is approached by theoretical analysis and conceptual development of three integrative frameworks: the sociological perspective, service-dominant logic and a particular perspective of system thinking: the viable system approach (vSa).

The A4A relationships involve value co-creation based on actors integrating their resources and acting with intentionality to obtain value by providing benefits to other parties and by belonging to the emergent viable system; actor acts for other actors directly involved in the relationship generating positive effects for the whole system in which it is contextualized.

Future empirical research might better support findings.

Many social implications deriving from an augmented role of actors engaged within social relationships in co-creation exchanges. From the title of the paper A4A over on the manuscript describes numerous social inferences of actors in co-creation.

A4A is a relationship formed by actors that interact for the benefit of the whole system in which are involved. They find own benefit from the benefit created for the system in which they live and act. In A4A relationships the value of the single actor comes from the participation to the viability of the whole system.

The purpose of this paper is to explore the emergence of innovation in smart service systems to conceptualize how actor’s relationships through technology-enabled interactions can give birth to novel technologies, processes, strategies and value. The objectives of the study are: to detect the different enablers that activate innovation in smart service systems; and to explore how these can lead dynamically to the emergence of different innovation patterns.

The empirical research adopts an approach based on constructivist grounded theory, performed through observation and semi-structured interviews to investigate the development of innovation in the Italian CTNA (Italian acronym of National Cluster for Aerospace Technology).

The identification and re-elaboration of the novelties that emerged from the analysis of the Cluster allow the elaboration of a diagram that classifies five different shades of innovation, introduced through some related theoretical propositions: technological; process; business model and data-driven; social and eco-sustainable; and practice-based.

The paper embraces a synthesis view that detects the enabling structural and systems dimensions for innovation (the “what”) and the way in which these can be combined to create new technologies, resources, values and social rules (the “how” dimension). The classification of five different kinds of innovation can contribute to enrich extant research on value co-creation and innovation and can shed light on how given technologies and relational strategies can produce varied innovation outcomes according to the diverse stakeholders engaged.

The purpose of this paper is to analyze whether triad structures, as the smallest unit of a network, can facilitate or inhibit the evolution into a service ecosystem. According to SD logic literature, the triad structure and the institutions that dominate the triads determine the evolution into ecosystem, remain as triad or die. “Balanced centricity” is considered a desirable institution that increases the possibility of transforming triads into ecosystems through marketing equilibrium.

The authors apply a conceptual approach to develop a framework for deepening understanding about triads’ structures from the institution’s perspective (balanced centricity). Qualitative case study research was conducted using different methods of data generation including personal interviews and netnography analysis in the arts sector. Three case studies were developed, one for each triad structure: Sothebýs, Patreon and Vibuk.

New business models start being a triad, and it is a strategic option to evolve into an ecosystem. In this sense, authors argue for considering balanced centricity as an institution that enables the ecosystems to arise. From this perspective, balanced centricity can be considered a strategy that helps to balance and reach positive relationships among actors, enabling the process to become a “balance triad structure”.

The paper is a conceptual work that combines with an empirical approach. The empirical approach considers three success cases on the arts context. Considering other contexts as different from arts industry would be useful to add new perspectives to the theory development.

The present paper defines a new form of triad “balanced triad structure” (BTS) and identifies categories depending on the way balanced centricity institution is adopted, facilitating or inhibiting the future evolution into an ecosystem. Hitherto, previous papers have not put together these concepts that build on the triads and ecosystems theory to better understand triads management and facilitate the evolution of three-actor networks into ecosystems.

This paper aims to examine the change of institutional logics in actors’ practices within crowdfunding platforms, seen as open collaborative ecosystems.

The research follows an abductive approach, wherein data collection and analysis, and the search for complementary theories, constitute parallel iterative processes. A main case study was carried out, complemented by an expert panel.

Balanced centricity (BC) as the main institutional logic in crowdfunding platforms delineates actors’ practices (aims, resources and behaviors) into four issues: the development of an open and collaborative community; the overcoming of resource limitations; the changing roles of actors; and the co-creation of mutual (societal) value.

This study context limits the results. The COVID-19 crisis put all actors in the medical field into an extreme situation in which they had to maximize their potential to achieve a common aim. Once the crisis has passed, further research should address whether BC is maintained as actors’ institutional logic.

This paper offers a unique perspective on BC as an institutional logic that impacts actors in collaborative open ecosystems.

This work tries to detect the factors that can impact service innovation in the retail sector according to a service ecosystem (SES) perspective. This paper aims to understand whether it is possible to study innovation focusing on the impact of technology on resource integration practices in SESs and to rank different patterns of innovation by evaluating their effects in terms of value co-creation.

To show up the perception of actors, a case study has been carried out through semi-structured interviews. The aggregates of practices and the service innovation archetypes, drawn from the theoretical background, have been used as categories of analysis.

Service innovation is reconceptualised as the result of the application of new technology to resource integration practices in the retail SES, and it is possible to rank its patterns and outcomes by deepening its effects on the emergence of value co-creation phenomena. Shared intentions have been identified as drivers of service innovation, but greater transparency in systems used to embolden a higher willingness to use could be necessary.

Service innovation has been studied by focusing on value co-creation; for this reason, the willingness to use technology emerged as a determinant of service innovation. This result implies the need for a multilevel reinterpretation of contemporary SES, both regarding the technical features of digital solutions and their adherence to users' skills and the effects of willingness or unwillingness to use on value co-creation.

This conceptual chapter aims to understand the role of artificial intelligence (AI) in value co-creation phenomena in a healthcare service ecosystem, through a literature review and the definition of a conceptual framework. AI, as an operant resource, can stimulate a completely patient-centered, adaptive and resilient healthcare system, and governance models in healthcare based on data-driven decision-making (DDDM), ensuring faster choices, more timely diagnosis and more personalized treatment paths. However, the full implementation of AI in healthcare is inhibited by some frictions, mainly related to the risk that the AI black box may generate an inadequate automatic decision, also due to the quality of data used, often partial and unstructured given the reluctance to share them by patients concerned by privacy threats. The co-design (multi-part and multi-level) of a predictive decision model based on the functional transparency of the AI algorithm would allow for augmented decision as result of an effective human–machine interaction. Healthcare actors could thus make decisions using the information detected by the software (based on clear cause-and-effect correlations and modifiable variables in case of mistakes), integrated with their professional knowledge. This would also help to strengthen the patient’s perception of the decision’s reliability and accuracy and the safety of the tool (factors that can affect his/her trust). AI may be considered as a driver for value co-creation in healthcare, thanks to transparency. It would allow the promotion of collaborative behaviors involving actors by generating new institutions and new resource integration practices among them.

This study aims to investigate how the relationship factors, including equity, shared responsibility and relationship dependence leverage the value co-creation. The research studies the value co-creation process in a business-to-business (B2B) context between suppliers and customers and provides empirical evidence of the underlying effects.

Using social exchange theory, the research uses a mixed-method of in-depth interviews and questionnaire surveys. The sample of the survey has 123 business customers.

The findings suggest that equity not only positively affects but also mediates the effect of shared responsibility on value co-creation. The mediation effect is further moderated by the relationship dependence that buyers have on the seller.

The cross-sectional survey used cannot establish causality relationships. Although the goal was not to establish causality, it could limit the rigor of the study. The longitudinal design could be used in the future to better address this deficiency. While the paper is the initial step to analyze the factors influencing value co-creation empirically, more studies could examine other commonly discussed constructs.

This empirical study enriches the value co-creation literature by examining the antecedents’ detailed mechanism that facilitates value co-creation in a B2B context.

To analyze the influence of emotional intelligence on team performance, knowledge sharing, team conflict, and the structure mechanism, the influence of knowledge sharing, team conflict, the structure mechanism, and emotional intelligence on team performance, and the influence of emotional intelligence on team performance through knowledge sharing, team conflict, and the structure mechanism.

This research uses the quantitative research method and is included in explanatory research. Data collection was done cross-sectionally. This research was conducted at provincial hospitals in South Sulawesi and in Central Sulawesi.

Emotional intelligence directly influences knowledge sharing, conflict in teams, the structure mechanism, and team performance. There is a direct influence of knowledge sharing, team conflict, and the structure mechanism on team performance. Then, there is an indirect influence of emotional intelligence on team performance through the mediation of knowledge sharing, team conflict, and the structure mechanism.

The novelty of this research is in its effort to observe the mediation of knowledge sharing, team conflict and the structure mechanism with other variables developed in the research model. No previous studies have found a relationship between emotional intelligence and team performance, knowledge sharing, team conflict, and the structure mechanism, or the influence of knowledge sharing, team conflict, the structure mechanism, and emotional intelligence on team performance.

The purpose of this paper is to introduce and test customer perceptions of four types of value co-creation (VCC), explore VCC a priori condition of relatedness, operationalized as commercial friendship, examine customer voluntary participation in VCC through initiation (customer vs company), and the influence of these factors on relational outcomes of VCC: satisfaction, loyalty and trust.

A scenario-based 2×2×4 experimental design was set in a destination resort context: weak vs strong commercial friendship, customer vs company co-creation initiation and four types of VCC. The 248 resort guests were equally and randomly assigned to experimental conditions. Multivariate analysis of variance and repeated measures analysis of variance was utilized.

Results demonstrated that customers perceived VCC processes differently. Co-creation of experience and co-recovery outcomes had significantly higher relational outcomes when compared to co-creation of marketing and co-innovation. Experiencing stronger commercial friendship, as customer–company relatedness and being invited to co-create resulted in stronger customer relational outcomes.

The core theoretical contribution of this study is the comparative analysis of customer perceptions of four distinctly different types of VCC: co-innovation, co-creation of experience, co-creation of marketing and co-recovery. A priori conditions of relatedness and co-creation initiation were established as antecedents of VCC processes among customers and service providers. When a service provider initiates VCC, it can positively affect customers’ relational outcomes of satisfaction, loyalty and trust.