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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.

The purpose of this paper is to develop an industry 4.0 (I4.0) innovation ecosystem framework by exploring the essential components of the same to ensure the collaborative efforts of different stakeholders.

In this research work, important perspectives and their sub-components for the I4.0 innovation ecosystem framework are identified by performing a systematic literature survey of peer-reviewed journal articles. Then, I4.0 challenges among higher education (HE) institutions students and industries in India are explored by adopting the questionnaire-based research approach. Finally, the importance of the identified perspectives and their sub-components and causal relations among components are analyzed by using the decision-making trial and evaluation laboratory method.

From the literature survey, three perspectives and their 45 sub-components are identified for the I4.0 innovation ecosystem framework. The outcomes show that the industry has a direct impact on HE institutions and the government. While HE institutions are most influenced by the industry and government.

I4.0 innovation ecosystem framework is developed by analyzing responses received through questionnaires. There are other methods also available for ecosystem framework development, which are beyond this study.

This research work will facilitate policy formulation by the government. It will also help the managers to develop strategies for the adoption of I4.0 enabling technologies in their business.

This research study gives an idea about the innovation ecosystem framework for the successful adoption of I4.0 enabling technologies in Indian Manufacturing Industries.

Although there is a growing body of literature on the benefits of innovation ecosystem participation for keystone/focal firms, there are limited studies on what motivates or impedes other actors’ participation (i.e. suppliers and complementors) in collaborative innovation. Hence, this study aims to address the root causes of collaborative innovation failure and develop a better understanding of the hindering factors for the generation of collaborative innovation performance in ecosystem-based manufacturing.

This study adopted a qualitative research study with 45 managers involving an online survey with open-ended questions followed by an expert focus group with seven managers from a UK-based high value manufacturing ecosystem. Data analysis and coding followed a highly iterative process using a thematic analysis approach.

This study identified six common barriers to collaborative innovation from the perspective of supplier firms. Particularly, this study found unique impeding factors in relation to revealed and deterring barriers in an ecosystem-based manufacturing context. This paper argues that suppliers and small- and medium-sized enterprises not only require financial support but also need to develop a strategic mindset, confidence, effective partnerships and knowledge about risks and returns to participate in collaborative innovation.

The extant literature identifies the motivations for joining innovation ecosystems and the prominence of value co-creation activity from the perspective of focal firms or orchestrators. However, this study offers insights into the need for an effective value co-appropriation setup amongst the ecosystem actors including suppliers. Importantly, this study proposes that effective value co-appropriation is essential for making collaborative innovation happen in manufacturing ecosystems.

The purpose of this paper is to synthesize a manufacturing value network for digital multinationals that combines the global reach of multinationals, the power of platform business models and digitalization. Toward this, the authors assess the critical roles platform ecosystems, and Industry 4.0 play in resolving the key challenges associated with asset specificity, location specificity and information asymmetry, inherent in the conventional business models of manufacturing multinationals.

The authors take an exploratory approach in reviewing industry literature and analyzing implementations of digital technologies in manufacturing and supply chain processes at four large manufacturing multinationals from diverse industry sectors, from electronics to packaged food production. The authors also identify how value-creation activities are relocated, and how players collaborate to create and capture value. Consequently, the authors abstract a framework for global value network of manufacturing multinationals.

With changing definitions of industry, competition and organizations, the authors’ framework for manufacturing value network establishes the ways digitalization can be integrated in the global businesses of manufacturing multinationals, realizing the combinatorial effect of Industry 4.0 and platform ecosystems. The transformation redefines the ways multinationals have been leveraging their ownership-location-internalization (OLI) advantages. The authors recognize that the multinational orchestrator plays a critical role in creating shared goals for platform participants and governing the dynamics. In addition, the participants' propensity to trust the platform and the perceived trustworthiness of the orchestrator shape the scope and boundaries of the platform.

The authors raise critical questions about the role of multinational orchestrator and trust dimensions. In addition, the OLI-platform paradigm that incorporates the combinatorial effect of platform ecosystem and Industry 4.0 explains how multinationals create and capture value in new ways.

The purpose of this paper is to identify and analyze various critical success factors (CSFs) that can facilitate smartphone manufacturing in India. This paper further aims to understand the mutual interactions among these CSFs through identification of the hierarchical relationships among them.

A framework for a smartphone manufacturing system has been developed, wherein the hierarchical inter-relationships between identified CSFs have been presented and interpreted using total interpretive structural modeling (TISM). Cross-impact matrix multiplication applied to classification analysis has been further employed to identify the driving power as well as dependence power of these CSFs.

In the present research, 15 CSFs have been identified through literature review and expert opinions. The hierarchical framework developed using TISM has revealed the inter-dependencies among these CSFs. This research further categorizes CSFs into three clusters. The first cluster comprises of CSFs having high dependence power, the second cluster identifies CSFs having high driving power and the third cluster identifies CSFs which act as linkages between the driver CSFs and dependent CSFs.

This study has implications for both practitioners and academia. It provides a comprehensive list of CSFs that are relevant to develop a smartphone ecosystem in India. In addition, this study will help decision makers to strategically focus on the main drivers of the ecosystem that requires the immediate attention of decision makers. The methodology employed in this study provides a mechanism to conduct an exploratory study by identifying the factors and analyzing their interactions through the development of a hierarchical framework.

The proposed framework developed through qualitative modeling is an effort to understand relevant factors that can promote the smartphone manufacturing ecosystem. This study makes a significant contribution in the literature of smartphone manufacturing, which captures the perspective of different stakeholders.

Business Model Innovation is increasingly created by an ecosystem of related companies. This paper aims to investigate the transition of a manufacturing ecosystem toward electric vehicles from a business model perspective.

The authors investigate an automotive manufacturing ecosystem that is in transition toward electric and electrified vehicles, conducting semi-structured interviews with 46 informants from 27 ecosystem members.

The results reveal that the actions of several ecosystem members are driven by regulations relating to emissions. Novel requirements regarding components and complementary offers necessitate the entry of actors from other industries and the formation of new ecosystem members. While the newly emerged ecosystem has roots in an established ecosystem, it relies on new value offers. Further, the findings highlight the importance of ecosystem governance, while the necessary degree of change in the members' business models depends on their roles and positions in the ecosystem. Therefore, upstream suppliers of components must perform business model adaptation, whereas downstream providers must perform more complex business model innovation.

The paper is among the first to investigate an entire manufacturing ecosystem and analyze its transition toward electric vehicles and the implications for business model innovation.

Company goals, behaviors and decision-making processes may differ depending on whether a given company decides to engage in the Industry 4.0 (I4.0) paradigm as a user or as a provider of I4.0-based solutions. This paper will consider this question in-depth by focusing on the extent to which the innovation ecosystem (IES) affects these two main strategies.

The authors' study aims to analyze the impact of a regional information and communication technology (ICT) ecosystem on the implementation of I4.0 at the company level by using an original survey of 123 companies that are already engaged in the implementation of I4.0 in the French region of Hauts-de-France and by employing two sets of logit models.

The authors' empirical study demonstrates the importance of an innovation ecosystem-based strategy for I4.0 technology provision. It reveals that engaging in R&D collaborative projects and developing links and complex relationships with heterogeneous actors within the IES positively affects the likelihood of a given firm deciding to implement I4.0 as a provider of I4.0-based solutions. This does not, however, affect the probability of a firm engaging in the I4.0 paradigm as a user of technologies and solutions.

From a policy standpoint, this study could encourage decision-makers to engage with I4.0 development by developing policies targeting the reinforcement of IES at a regional level. This could also help to accelerate the adoption of I4.0 technologies by manufacturing companies and foster the development of I4.0-based solutions through specific company-targeted policies. The authors' study supports the need for manufacturing company managers to evaluate and identify the best technological strategies related to the I4.0 paradigm that meet their specific needs.

The authors' study shows that the decision to engage in the I4.0 paradigm as providers of I4.0-based solutions is more likely to rely on an innovation ecosystem-based strategy, while the decision to engage in the I4.0 paradigm as users of I4.0-based solutions is more likely to rely on the company’s internal strategies, resources and demand-side benefits.

The purpose of this paper is to explore a way to reshape the business ecosystem for existing industries by comparing traditional and Shanzhai networks in China. The research is also conducted on the supporting activities by service intermediaries in the ecosystem.

This research starts with a literature review on firms' strategy of industry maturity from three perspectives, including technology orientation, innovation orientation, and network orientation. The approach of multiple case studies is adopted to unveil the reshaping process of the business ecosystem. Two types of networks are mapped: the traditional mobile companies' network and the Shanzhai network. Intra‐network and inter‐network cross‐case analyses aim to generate the research findings and provide implications for different ecosystem players.

First, the relationship between industry and the business ecosystem is placed into a two by two matrix. Second, in order to reshape the business ecosystem, the traditional network prefers geographical dispersion to other countries to establish a new ecosystem, whereas the Shanzhai network brings niche substitutes to cut down industry entry barriers. Third, government agencies, as one of the service intermediaries, not only support the traditional network dispersion by providing preferential policies, but also support the reshaping process enabled by the Shanzhai network with legal guidance and resource capture. Fourth, other service intermediaries such as law firms, technology services, talent searchers, financial and industry associations, have greater impact on the Shanzhai network than on the traditional network. Fifth, from the comparison between these two networks, strategies to reshape the ecosystem can be differentiated in five aspects: frugal solution, platform enablement, organization recentralization, downstream innovation, and regulation adaptation.

This research further develops the observations into service intermediaries not only in core business but also in the extended level of the business ecosystem. The Shanzhai phenomenon also provides an excellent example implicating classical theories like cluster, innovation and global manufacturing virtual network. From a methodology perspective, this research combined the roadmap methods and cross‐case analysis. However, this study focuses more on Shanzhai network study than the traditional network.

Five nurturing strategies implicate small firms in the Shanzhai network and large firms in the traditional network as well as service intermediaries.

This paper is the first one to deeply study the relationship between industry and the business ecosystem in China, and the reshaping process of a mature business ecosystem from the traditional network, Shanzhai network and service intermediaries' perspectives.

With ever-increasing global concerns over environmental degradation and resource scarcity, the need for sustainable manufacturing (SM) practices has become paramount. Industry 5.0 (I5.0), the latest paradigm in the industrial revolution, emphasizes the integration of advanced technologies with human capabilities to achieve sustainable and socially responsible production systems. This paper aims to provide a comprehensive analysis of the role of I5.0 in enabling SM. Furthermore, the review discusses the integration of sustainable practices into the core of I5.0.

The systematic literature review (SLR) method is adopted to: explore the understanding of I5.0 and SM; understand the role of I5.0 in addressing sustainability challenges, including resource optimization, waste reduction, energy efficiency and ethical considerations and propose a framework for effective implementation of the I5.0 concept in manufacturing enterprises.

The concept of I5.0 represents a progressive step forward from previous industrial revolutions, emphasizing the integration of advanced technologies with a focus on sustainability. I5.0 offers opportunities to optimize resource usage and minimize environmental impact. Through the integration of automation, artificial intelligence (AI) and big data analytics (BDA), manufacturers can enhance process efficiency, reduce waste and implement proactive sustainability measures. By embracing I5.0 and incorporating SM practices, industries can move towards a more resource-efficient, environmentally friendly and socially responsible manufacturing paradigm.

The findings presented in this article have several implications including the changing role of the workforce, skills requirements and the need for ethical considerations for SM, highlighting the need for interdisciplinary collaborations, policy support and stakeholder engagement to realize its full potential.

This article aims to stand on an unbiased assessment to ascertain the landscape occupied by the role of I5.0 in driving sustainability in the manufacturing sector. In addition, the proposed framework will serve as a basis for the effective implementation of I5.0 for SM.

The emergence of new digital technologies in the era of the Fourth Industrial Revolution presents a turning point that could change the fate of the traditional ways of designing, build and manage asset data. Disruptive technologies such as Blockchain and theInternet of things (IoT) are one of the main pillars that are driving this revolution. The integration of decentralised networks and automated workflows has the potential to become a pivotal factor in construction projects, especially in supply chain ecosystems within the off-site manufacturing field. Obstacles related to fragmented information, interoperability, transparency and “big data” management are the main drivers for change that the industry needs to address. Whilst organisations and users can automate workflows and processes by utilising IoT technology to transfer data without human-to-human or human-to-computer interaction, the interaction, storage and management of the data generated are not safe or reliable.

The approach outlined in this paper addresses the challenges that IoT and centralised networks present. Blockchain, a peer-to-peer distributed database, offers the possibility to support and maintain the asset information without interruptions in all the stages of the life cycle. The synergy between these technologies, along with other techniques, methods and platforms (such as building information modeling (BIM)), based on a single environment, will support information traceability from the strategic definition to end of life.

The framework of this study presents an excellent opportunity to apply new workflows and processes with the application of new technologies and protocols. It benefits from a well-established platform such as BIM to enable the coordination and management of digital assets as well as giving illustration and collaboration to the supply chain members. IoT and Blockchain are the other layers that work together with the third layer (BIM). This framework proposed the use of these platforms to ensure the information traceability of physical and digital assets, data automation and information management, in a dynamic supply chain ecosystem, bringing efficiency and transparency to stakeholders and users.

This study provides an exploratory framework to be used by the supply chain members in offsite manufacturing, and the architecture, engineering and construction (AEC) industry in general, to track asset information throughout their entire life cycle securely and transparently.

This paper contributes to the knowledge of IoT, Blockchain technology and BIM use in offsite manufacturing under the AEC industry. It provides a basis for future research by professionals, experts and academics regarding these technologies and their workflows.