Financial Technology Ecosystem in Promoting a Healthy Lifestyle

Financial technology (FinTech) is new innovation to create a better financial ecosystem for both consumers and business. The research proposes a modeling framework on how to connect public and business to promote social work activities and at the same time financially reward through a FinTech as a platform. The study deployed a mixed methods to assess public perspectives on FinTech's ecosystem in promoting a healthy lifestyle. It is expected to encourage people who are physically active to participate in raising funds for social work activities and at the same time generate income for the participants. The ecosystem provides people more meaning to collect their distance in kilometers by either walking, running, or cycling that will impact physically, socially, and financially to promote a healthy society.

Emerging Ecosystems Empowered by AI and IoT Technologies

As latest advancements signify the fourth industrial revolution, artificial intelligence (AI) and internet of things (IoT) became the focal points for innovators. IoT-enabled technology can be used to gather and explore huge amounts of data from both virtual and physical environments, and AI provides the means for effectively processing and manipulating resulting information to optimize or automate processes. In this chapter, the related state of the art is presented, along with the characteristics that enable the creation of hybrid innovation ecosystems. An overview of IoT and AI platforms is included, which can be utilized even by non-experts to compose advanced cost-effective services. Also, related notions such as interoperability and engagement are also discussed. Although such components can be applied in a multitude of domains, to provide a concrete example of innovation enablement, the smart grid ecosystem is employed. Here, participants, either from the supply or the demand side, take advantage of IoT and AI technology to address new business requirements that arise.

An Integrated LoRa-Based IoT Platform Serving Smart Farming and Agro-Logistics

The value chain of agri-food is radically changed due the fact that consumers, as well as various players in the agro-logistics chain, seek for increased and trustful food safety. Given the specific characteristics of the agri-food supply chain, having numerous origin points, several aggregations hubs at different levels and then again numerous points of sales, the need of a holistic approach in collecting, forwarding and interpreting data in an interoperable way is a dire need. In this chapter, the authors present the architecture of the traceability platform KalaΘosTM and its IoT management module called, GP CoreIoTTM. The KalaΘos infrastructure includes a network of sensors devices at farms, equipment, trucks, aggregation, processing, and logistics facilities, connected to a network of LoRa gateways. Its open architecture focuses on semantic and syntactic interoperability approaches for joint exploitation of data collected and managed by other systems with similar aims and scope.

Customer-Centered Antecedents of a Value Co-Creation Ecosystem

Considering the call for understanding the broader social and cultural context of value co-creation within emerging multilevel co-creative service systems, this research aims to explore the social and cultural processes along with psychological processes in terms of their influence on resource integration. It primarily adopts the customer perspective of resource integration. First, an integrative structure is developed and then the identified antecedents are positioned under relevant category proposing the multi-perspective VCC antecedent' framework. Further, the extant knowledge about VCC antecedents is used to set the agenda for future research. The study is based on an in-depth review of 85 key articles carefully extracted from a broad set of 1100 papers on VCC within the Scopus database. This review work provides a clear state of the art of VCC antecedents and has a direct implication for managers involved in designing the co-creation strategies for their customers.

Opening Closed Business Ecosystem Boundaries With Digital Platforms

Applying a business model approach, this chapter identifies various challenges in digital platform and platform-based business model development in the case of a physical port ecosystem. Using an empirical case, the chapter identifies the prerequisites and consequences of opportunities, value, and advantages for an existing ecosystem that aims to create a “digital twin.” It contributes to academic discussions on the intersection of ecosystems, platforms, and business models by exploring the antecedents and controversies of configuring ecosystem boundaries in a digital context. Moreover, the chapter contributes to research by analyzing how a previously closed ecosystem seeks to open its boundaries and interfaces, both internally among the internal ecosystem members and externally to the outside business environment.

Key Factors for Measuring Value Co-Creation in the Industrial Service Ecosystem

Managing and measuring value co-creation in industrial services are emerging themes from the perspective of industry and scientific research. Thus, this chapter aims to review the literature in order to identify the criteria for value co-creation management and measuring used to measure value co-creation in the industrial service ecosystem. To achieve this goal, the authors conducted a systematic literature review and a content analysis of the portfolio resulting from the review. Based on the findings, eight criteria were listed for managing value co-creation in the B2B (business-to-business) services sector. In addition, they identified a lack of limited integration and interdependence between the criteria shown in the literature for cooperative service management among companies.

Scientific Community-Driven Ecosystem as a Supporter to Co-Create and Co-Evolute Science

One critical aspect of science is the ability to reproduce the same experiment by another researcher. In other to do so, the same ambient, variables, data, setup should be considered. The method tells how the original researcher planned and did their research, but how can others replicate or even advance the preview research? The scientific community has been focusing on efforts to increase transparency and reproducibility and develop a “culture of reproducibility.” When researchers share their data, their workflow, and co-evolute a way of doing research, all the players win. The value co-creation is established in a business ecosystem. The actor who is part of the business platform by the co-creation can leverage the advantage of one or more partners that make up the platform. Thus, the knowledge created from the interaction between the different technological domains and knowledge shared on the platform can improve all the research and researchers. Stating that, this chapter proposes a business ecosystem model to ensure research repeatability.