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Inspired by the many-worlds interpretation in quantum theory, I present the concepts of "nousor" and the theory of counterpart, by which I make a metaphysical argument that the existence of other parallel worlds could be brought to light by dreams, and that counterparts in different worlds can exchange information through the nousor containing information packets to ensure the oneness of counterparts. Many worlds and all lives there follow the rules which are permanent and can not be violated. Based on the counterpart theory, I propose a new view on the origin and meaning of déjà vu, Planck's problem, and actual dreams, to offer a novel way of thinking and a problem-solving paradigm. Governments should collect citizen's dreams and use group dreams as a critical indicator to predicate catastrophes.

PurposeIn era of industry 4.0 all the organizations are investing their resources so they can adopt the latest technologies with no exception of supply chain. Accordingly, the present study attempted to examine the influence of digitalization of supply chain and performance in context of Chinese sports industry. Additionally, it has considered the supply chain integration and time management as a mechanism along with boundary condition of supply chain resilience.Design/methodology/approachThe study followed positivism philosophy and adopted quantitative methods. The data were collected by using the questionnaire from the Chinese sport industry organizations' professionals related to logistics and supply chain. A total 746 questionnaires were distributed and 570 of them subjected to SPSS and Smart PLS for data analysis. Hypotheses were tested using PLS-SEM through the Smart-PLS 4.FindingsThe results of the study revealed that supply chain digitalization positively influences the both internal and external supply chain integration. Moreover, supply chain planning and scheduling influenced by both internal and external supply chain integration lead by supply chain digitalization. Ultimately resulting in improved sports industry performance. However, the supply chain resilience did not found as a significant moderator.Originality/valueThe study is few of the attempts that have tested a comprehensive mechanism through which the supply chain digitalization lead towards the higher performance. Also, the study results signify that the digitization can help the organizations to accomplish superior performance specifically in sports industry.

In well-planned open and semi-open urban areas, it is common to observe desire paths on the ground, which shows how pedestrians themselves enhance the walkability and affordance of road systems. To better understand how these paths are formed, we present an agent-based modelling approach that simulates real pedestrian movement to generate complex path systems. By using heterogeneous ground affordance and visit frequency of hotspots as environmental settings and by modelling pedestrians as agents, path systems emerge from collective interactions between agents and their environment. Our model employs two visual parameters, angle and depth of vision, and two guiding principles, global conception and local adaptation. To examine the model's visual parameters and their effects on the cost-efficiency of the emergent path systems, we conducted a randomly generated simulation and validated the model using desire paths observed in real scenarios. The results show that (1) the angle (found to be limited to a narrow range of 90–120°) has a more significant impact on path patterns than the depth of vision, which aligns with Space Syntax theories that also emphasize the importance of angle for modelling pedestrian movement; (2) the depth of vision is closely related to the scale-invariance of path patterns on different map scales; and (3) the angle has a negative exponential correlation with path efficiency and a positive correlation with path costs. Our proposed model can help urban planners predict or generate cost-efficient path installations in well- and poorly designed urban areas and may inspire further approaches rooted in generative science for future cities.

Alongside Patent Super Aggregators represented by Intellectual Ventures in the United States, there is a trend to construct patent intermediary in the context of platform ecosystem. Accordingly, patent operation platforms (POPs) have emerged recently in China, yet few studies focus on uncovering their structures and operating mechanisms. This article aims to explore them based on two in-depth case studies with the application of a four-dimensional service innovation framework. Findings pinpoint that POP consists of 'Patent Plus' database, patent service platform and two-sided patent platform, as a closed loop. In this structure, ICT plays a prominent role, connected with new service concepts, service delivery system and client interface, to operate the platform. Our article also shows implications to POP related theory and practice.

High-tech zones are an important platform for local governments in China to carry out regional collaborative innovation and an important carrier for the construction of a regional innovation ecosystem. The evolution path of innovation ecosystem in a high-tech zone is divided into three stages: enterprise collection, industrial cluster, and system integration. The innovation subjects form a complex network system that transcends the physical boundary. This paper studies the relationship between innovation input, innovation output, and innovation environment from the perspective of cluster innovation ecosystem structure. Using data mining technology, this paper establishes an index variable system of the innovation ecosystem in a high-tech zone, which includes innovation input, innovation output, and innovation environment. Based on the data of the Nanning National High-tech Zone in China, empirical tests were carried out, using factor analysis and regression analysis to analyze the quantitative relationship between the input, output, and innovation environment of the Nanning High-tech Zone's innovation ecosystem, and to explain the relationship between each other and the overall innovation of the high-tech zone. This research has certain practical significance for enriching and perfecting the theory of industrial clusters and studying the evolution of the innovation ecosystem of high-tech zones from a micro level. It has important, enlightening significance as a reference for the construction of innovative high-tech zones and the enhancement of high-tech zones' independent innovation capabilities.

The shared bicycle sector is a new type of rental business that combines the sharing economy with technology platforms. With its convenience, efficiency and low cost, the business has become popular in China. However, alongside the development of the shared bicycle industry, the increasing number of products, lack of governance, distrust between companies and users cause problems due to irresponsibility. This paper focuses on the governance of the shared bicycle sector, with the aim of achieving responsible innovation through a collaboration among stakeholders. Through case studies on two cities in China, the paper identifies government policies in the traditional context of hard-law regulation, and in the new context of multi-collaborative governance. The roles of government, industry and society are specified in the innovation ecosystem and are linked with the key dimensions of responsible innovation, anticipation, reflectiveness, inclusiveness and responsiveness. Based on the findings, a model is proposed, suggesting the new government roles of alliance facilitator and platform coordinator. Finally, our recommendations for the improvement of the shared bicycle sector are made and areas for future research are discussed.

With business today relying increasingly more on collaboration, new product development is also on a network base. The concept of innovation ecosystem is built upon knowledge creating and sharing across companies, knowledge institutions, policy regimes, business enterprises and industry boundaries. China as the largest emerging market has witnessed innovation with interaction among government, university, industry and research. Though government plays an important role in promoting innovation, not many studies have covered the detailed dynamic process and impact of policy on forming innovation ecosystem, especially in places where initial knowledge resources such as universities and research institutes are limited. Therefore, our article aims to fill in this research gap. Through document review and case study on Changzhou region of China, 1 we map out the local government policy concerns and changes during each stage of innovation ecosystem formation, development and expansion from 2001 to 2015. The interaction mechanism among government, university, industry and research is summarised with a proposed framework to highlight the key policy making areas. Further research areas are recommended with implication and conclusion.

In the current era of Industrial 4.0, open innovation, and the sharing economy, innovation ecosystems are formed through government-industry-university (triple helix) interaction. The concept of responsible innovation has emerged to explore how innovation can be conducted in a transparent, trustworthy, and sustainable way so as to respond to the public interest. While current literature provides a conceptual framework, details of how responsible innovation can be formed, developed, and sustained in the sharing economy, in particular in developing countries, have been under-explored. This paper aims to explore factors of responsible innovation, linking dimensions with business practice, and identify the dynamic stages of the industry life cycle. Through an in-depth case study of China's shared bicycle industry and the firm Hellobike, this paper has prioritized factors which lead to responsibility, such as user safety and friendliness in product design, real-time operations combined with big data, collaboration between industry and local government for industry standardization, and user credit systems. It has enriched key dimensions based on literature and case studies and proposed dynamic interaction models for industry, government, users, and universities at different stages of responsible innovation in the shared bicycle sector. From this empirical study, future research areas have been identified.

We studied the formation of leaders' habitual behaviors and the impact of leaders' existing and potential capabilities on ambidextrous (i.e., exploitative and exploratory) innovation activities. Leadership habitual domain (LHD) theory was applied from an endogenous perspective to analyze
the impact mechanism of LHD on ambidextrous innovation via the mediating role of dynamic capabilities. We used structural equation modeling to test data collected from 205 team leaders in East China. Results showed that LHD was positively associated with both exploitative and exploratory innovation,
and that dynamic capabilities mediated these relationships. Thus, team leaders should renew, reconfigure, and expand their LHD by sensing and seizing opportunities when implementing ambidextrous innovation.