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This paper aims to identify key factors influencing the development of advanced manufacturing clusters and propose governance pathways for their digital innovation ecosystems.

A quantitative analysis of the Tai-Xin Integrated Economic Zone in China is conducted using data collected through a questionnaire survey. An evaluation index for the development level of advanced manufacturing clusters is constructed, and a structural equation model is used to identify key influencing factors and governance pathways.

This paper reveals that factors such as industrial foundation, technological innovation capability, social institution environment and government policies have a significant positive impact on the development of digital innovation ecosystem in advanced manufacturing clusters. It constructs a governance model for the digital innovation ecosystem and proposes three major pathways: integration of heterogeneous innovation resources, enhancement of digital capabilities, and fostering digital collaborative governance. The crucial role of digital technology in improving data processing efficiency, optimizing resource allocation and promoting collaboration among entities is emphasized. These pathways can optimize resource allocation, boosting the competitiveness and innovation capacity of clusters.

By incorporating advanced manufacturing clusters into the digital innovation ecosystem framework, this paper enriches theoretical research on both fronts. It offers specific governance pathways and policy recommendations, providing valuable references and guidance for promoting the digital transformation and ecosystem construction of manufacturing clusters.

The purpose of this paper is to analyse the development and evolution of industrial innovation ecosystems of Around-Tongji Knowledge Economy Circle from the three levels mentioned above, focusing on knowledge-producing populations, core populations and service-supporting populations, and to further develop this research framework by combining with the latest developments.

Based on the five-helix theory and economic census statistical data, this paper adopts geographic information system technology and examines the characteristics of the industrial innovation ecosystem and the synergistic evolution process in Around-Tongji knowledge economy circle.

The knowledge product populations lead the development of industries in Around-Tongji Knowledge Economy Circle. It contributes political capital output for the government. It innovates community cooperation and governance mode, and it improves the natural ecological environment. In the face of the changes and challenges in the development environment, the future development must be recognised from the height of the iterative development of the interaction mode between university knowledge production and economic and social development.

Based on the five-helix theory and economic census statistical data, this paper examines the characteristics of the industrial innovation ecosystem and the synergistic evolution process in Around-Tongji Knowledge Economy Circle. It further expands the research framework used to develop a synergistic evolution model, which reveals the interactive and synergistic relationship among the populations and the evolution characteristics of the entire industrial innovation ecosystem. This paper also provides useful perspectives for the study of the industrial innovation ecosystem.

The purpose of this paper is to examine empirically China’s determined thrust to attain a high level of technological innovation and the factors affecting moving towards a smart and sophisticated manufacturing ecosystem in conjunction with the Belt and Road Initiative (OBOR).

This research provides empirical determination of the factors affecting moving towards smart manufacturing ecosystems in China. The method is based on combining two approaches: semi-structured interview and questionnaire-based with academics, experts and managers in various Chinese industrial sectors. The results are based on the multivariate analysis of the collected data. A case study of the current manufacturing ecosystem was also analyzed, in order to understand the present state as well as the potential for China’s competitive edge in the developed OBOR countries.

The results illustrate the importance of the infrastructure dimension comprising variables related to ecosystems, industrial clusters and Internet of Things IoT and other advanced technologies. A case study of the city of Shenzhen’s transformation into a smart cluster for innovative manufacturing points out how China’s OBOR initiative for regional collaboration will further transform the regional smart clusters into an ultra-large innovation based smart ecosystem.

This research is the first to study China’ policies towards playing a prominent role in the Fourth Industrial Revolution 4IR in the context of the OBOR initiative, through empirically defining the factors affecting moving towards a knowledge-intensive smart manufacturing ecosystem where the added value is mostly innovation based.

This study aims to define orchestrator roles and related orchestration capabilities in the entrepreneurial ecosystem (EE) to understand how companies (especially small and medium-sized enterprises and startups) could benefit from the surrounding ecosystem to develop their business.

A qualitative case study of the regional ecosystem built around health technology is researched to get an in-depth understanding of the orchestration roles taken by actors in the ecosystem and, likewise, related bundles of orchestrator role-specific capabilities.

Altogether, eight roles and related orchestration capabilities are defined. First, “opinion leaders,” “business facilitators” and “regulation informants” provide resources for participants. Second, “relationship promoters,” “coordinators” and “commanders” create prerequisites for collaboration. Finally, “integrators” and “complementors” help to create concrete offerings. The roles taken can be simultaneous, and they are in constant change as positions and resources of actors change.

Theoretically, this study contributes to the existing EE and orchestration capability research by studying orchestrator roles and related capabilities in the context of an entrepreneurial health tech ecosystem, a phenomenon that has not received sufficient research attention yet.

Managers will be able to use the lessons learned from this study in understanding, using and developing their capabilities, positions and activities in the network. For policymakers, understanding EE reality and dynamics is useful when developing policies for regional growth, likewise in constructing and developing industrial ecosystems to support entrepreneurship in the region.

The study provides novel in-depth knowledge of orchestration in regional, EEs. It complements the currently dominating conceptual research and brings a micro-level perspective that has mostly been lacking in EE studies.

The rapid adoption of the ecosystem concept in innovation contexts has led to a proliferation of differing uses. Scholars need to be crystal clear which concept of the ecosystem they are using to facilitate communication between scholars and allow for cumulativeness and creativity. This paper aims to introduce some clarity into the conceptual mist that surrounds the notion of “ecosystems” in innovation contexts.

A review of the extant literature on ecosystems in innovation contexts to derive an integrated approach to understanding the variety of constructs in use.

This paper introduces clarity into the conceptual mist that surrounds the term “innovation ecosystem”, showing there are three basic types of ecosystems, all of which have a common focus on the collective production of a coherent system-level output.

Contributes through a comprehensive overview of the differing ecosystem types in innovation contexts and with a heuristic to disambiguate types of innovation ecosystems.

Through this case, students will not only learn about the latest development of this emerging industry, IoT, but also gain a systematic understanding of “ecosystem strategy” and get to know a new corporate growth model called “co-creation”.

This case describes why and how Advantech Co., Ltd. (hereinafter referred to as Advantech) has transformed in the age of the Internet of Things. Aware of the ecosystem attributes of the IoT industry and committed to the company’s principle of “altruism”, Advantech strategically positioned itself as an “IoT platform provider” and an “enabler” for IoT applications. After carrying out a reform in terms of internal management, external cooperation, and development model, Advantech has evolved from an industrial computer maker to an IoT solution provider. Since the launch of the “co-creation model” at the end of 2016, Advantech has drawn attention from many excellent companies in traditional industries. With the Internet of Everything close at hand, Chairman KC Liu is well aware there are many challenges to overcome as Advantech strives to build an industrial IoT ecosystem, the “evolution” continues.

MBAs, EMBAs and senior executives.

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CSS 11: Strategy

To describe a way of teaching industrial ecology (IE) and to show some tools that may help for the IE teaching.

In the paper, the development of lectures, practical lessons and projects on real industrial ecosystems are described. Also the teaching materials used are described.

The presented methodology for teaching IE has been a good means for the understanding of the IE concept. Some of the educational tools presented have helped the students to increase their awareness of the distance between IE and the real industrial field, discover that there are a lot of by‐product exchange possibilities between industries, to develop their creativity, to connect the theory to practice in the industrial systems and have encouraged them to try to put the IE ideas into practice. This methodology has been useful for either small or big groups and for people with either the same or very different backgrounds. And it has been observed that the quality of the work is enhanced when the members of the group have different backgrounds.

The paper shows methodologies and tools that may encourage and help other teachers/professors to use them in their IE lessons. It may also help IE researches to know which real examples and methodologies help students to understand IE concept. This could encourage them to develop projects and research in those directions.

The paper fulfils the need of knowing real experiences in IE teaching and their results. And in special, experiences that have been tested for a long period of time and with a great number of students. All the experiences described in the paper have been created and put into practice by the author.

The purpose of this paper is to study the role of the actors (especially firms) in interactions between contexts defined as “innovation ecosystems.”

The paper presents a conceptual framework. A review of the literature to frame the concepts of innovation ecosystems and the Industrial Marketing and Purchasing (IMP) approach is presented. A possible integration of the two concepts is then discussed.

The paper adds new discursive inputs to the concept of innovation ecosystem that validate its use in the context of the knowledge economy and extends the theories of knowledge, by analyzing the role that various actors who populate an innovative ecosystem play in the creation, learning, use, and dissemination of knowledge.

The paper furnishes an approach to the research on knowledge management and innovation, in the attempt to relate the IMP Group approach with the perspective of the “innovation ecosystems” concept.

Service ecosystems are becoming an important domain of joint value creation and resource integration, and the literature in the field is burgeoning. The recent growth in the literature warrants consolidating the findings of the existing literature, summarizing the recent development and identifying avenues for more impactful future research on the topic. This study aims to map the service ecosystems research domain and synthesize insights by integrating qualitative content analysis with quantitative data analysis.

This paper uses algorithmic bibliometric review (quantitative) with VOSviewer and R-package and content analysis (qualitative) on 119 service ecosystems papers published between 2003 and 2020.

The bibliometric analysis uncovers the critical research domains, knowledge trajectories, influential authors and journals and author networks in the field. The content analysis identifies the four most important research themes (value creation, change triggers, strategic and entrepreneurial action and institutional embeddedness and agency) and provides an integrative view of the dynamics among these themes. The authors also find the need for more empirical and theory grounded research around these four themes. Furthermore, based on the review, the authors discuss the disciplinary identity of the service ecosystems field and suggest interesting future research opportunities, along with ideas for useful empirical approaches and theoretical extensions.

This study’s comprehensive analysis offers an overview of the evolution and identity of the service ecosystems research and identifies several promising opportunities for future research on service ecosystems.

Circular economy (CE) has gained the attention of the business community with the promise of several trillions of dollars to be gained from finding productive uses for waste materials, and developing new business models focused on extending and reimagining the useful life of products. Industrial symbiosis (IS) involves the shared management of resources among multiple firms, most often within some geographic proximity. IS is particularly focused on the reuse of secondary materials, such as industrial by-products, for which conventional recycling does not exist. IS and CE represent a radical reconceptualization of business models from individual to collective competitive advantage with private and public benefits. IS has been recognized as a novel strategy for businesses and regions interested in implementing the CE. In this chapter, we explore the conditions and circumstances in which IS could play a pivotal role in increasing circularity and sustainability in diverse supply networks.