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The purpose of this paper is to analyze the symbiotic evolution decisions of digital innovation enterprises, research institutes and the government in the digital innovation ecosystem.

Based on innovation ecosystem theory and an evolutionary game model, this study constructs a tripartite symbiotic evolution game model of digital innovation ecosystems with digital innovation enterprises, research institutes and the government as the main bodies and analyzes the influencing factors as well as the evolution paths of the different behavioral strategies of each subject through numerical simulation.

The research shows that the digital innovation ecosystem has the characteristic of self-organization, which requires the symbiotic cooperation of each subject. The government plays an active role in any stage of symbiotic evolution, and the system cannot enter symbiosis under a low level of subsidies and penalties. Only when the initial willingness to cooperate of digital innovation enterprises and scientific research institutes is at a medium or high level is the system likely to become symbiotic. While digital innovation enterprises are more sensitive to government subsidies and punishments, scientific research institutes are more sensitive to the distribution proportion of cooperation income.

This study includes government regulation into the research scope, expands the research mode of the digital innovation ecosystem and overcomes the difficulties of empirical research in collecting dynamic large sample data. It vividly and systematically simulates the symbiotic evolution process of the digital innovation ecosystem, which provides a theoretical and practical reference for digital innovation ecosystem governance.

Embroidery as a textile embellishment technique plays an important role in people's daily life. Esthetic embroidery artworks possess cultural values. With the development of robotics and artificial intelligence (AI), these technologies have been studied and applied in the embroidery process. This study aims to survey how these technologies facilitate embroidery from different aspects.

This paper surveys how the technologies of robotics and AI are applied in the embroidery field. The applications are mainly reviewed from three aspects: computerized robotic embroidery systems has been widely used for the mass production of embroidered textiles, the advanced technological systems and techniques have greatly facilitated the development of smart textiles and the artificial intelligence plays an important role in the inheritance, innovation and protection of traditional handicraft artwork of embroidery.

The programmable robotic embroidery machines have greatly improved the production efficiency of embroidered textiles and promoted the development of electronic textiles. The AI, mainly the deep learning technology, brings significant benefits to esthetic embroidery creation. Technology-based embroidery has become a hot research topic in the field of textiles.

This paper summarizes the application of robotics and AI technologies in the field of embroidery, which provides readers a comprehensive and systematic understanding about the research progress of modern technology-oriented embroidery. This helps readers gain inspiration from the technology perspectives.

China's securities market is growing gradually as well as the investors, analysts, intermediates and regulation authorities. Accounting earnings is a key determinant among the factors influencing stock prices, which even overreacts to earnings. Split‐stock reform (all‐circulation reform) in China provides a chance for investors to revaluate the stock prices. The purpose of this paper is to investigate the market reaction during the reform from the perspective of accounting conservatism.

Using the data of companies completing the split‐stock reform, this paper empirically investigates how the accounting conservatism influences the market reaction around re‐open day after the reform.

Accounting information plays its role on stock pricing through the reform of split‐stock reform in the China securities market, evident in the significantly positive relation between the proxies of accounting conservatism and cumulative abnormal returns for one day, three days, ten days and 30 days around re‐open day after the reform. Also, the profitability of listed firms in the past will further improve the positive relation between conservatism and market reaction.

There is ample theoretical work on stock pricing of accounting conservatism but empirical work is scarce, so this paper provides more evidence for the role of stock pricing of accounting conservatism, especially in emerging markets. Second, current research on accounting conservatism in China is focusing on whether conservatism exists and how the conservatism varies; this paper further extends the research field of conservatism from the pricing perspective. Third, researches based on the determinants of stock compensation and market reaction on stock reform lack theoretical analysis, while this paper provides a theory basis for the market reaction during the stock reform.

The shapes of surface textures have been designed to control the leakage of mechanical seals in recent years. The purpose of this paper is to demonstrate the influence of geometric properties of elliptical dimples on the leakage rate.

A new geometric feature point is expressed using an analytical solution to locate the high-pressure zones. Furthermore, a numerical model of the three-dimensional flow field for the mechanical seal with elliptical dimples is developed using ANSYS Fluent to demonstrate the influencing mechanism.

The location of the proposed geometric converging point coincides with the maximum pressure point under different orientation angles. An inward flow on the leakage section observed from the simulation results is responsible for decreasing the leakage rate.

The influencing mechanism of the elliptical dimple on the leakage rate is demonstrated, which can facilitate the design of surface textures.

This systematic review, following preferred reporting items for systematic reviews and meta-analysis guidelines, rigorously investigates the emergent role of virtual reality (VR) technology in human movement training. The purpose of this study is to explore the effectiveness and evolution of VR in enhancing movement training experiences.

Acknowledging its pivotal role in diverse applications, such as sports and rehabilitation, human movement training is currently experiencing accelerated evolution, facilitated by the proliferation of wearable devices and mobile applications. This review conducted an exhaustive search across five different electronic databases, such as Web of Science, PubMed and ProQuest, resulting in the selection of 69 eligible articles published within the past five years. It also integrates 40 studies into a narrative summary, categorized based on the level of immersion offered by respective VR systems.

Enhanced immersion in VR potentially augments the effectiveness of movement training by engendering more realistic and captivating experiences for users. The immersive and interactive environments provided by VR technology enable tailored training experiences accompanied by precise, objective feedback. This review highlights the benefits of VR in human movement training and its potential to revolutionize the way training is conducted.

This systematic review contributes significantly to the existing literature by providing a comprehensive examination of the efficacy and evolution of VR in human movement training. By organizing the findings based on the level of immersion offered by VR systems, it provides valuable insights into the importance of immersion in enhancing training outcomes. In addition, this study identifies the need for future research focusing on the impacts of VR on learning and performance, as well as strategies to optimize its effectiveness and improve accessibility.

When a robot comanipulates an object with a human user, damping is a useful function. This is achieved by programming the robot to exhibit a viscous field. For some specific applications, the viscosity is required to change according to the manipulation velocity. A reported method is programming the viscosity varying inversely to the velocity. In this paper, this method is experimentally shown to distort human’s natural motion performance. This paper aims to propose a solution to solve this instability problem.

The authors performed a point-to-point targeting movement, where it was observed that the instability results from a sudden reduction of robot’s resistance to motion, which further results from the abrupt viscosity drop when the subject tries to accelerate. Therefore, the authors propose a solution where a first-order linear filter is added to the viscosity coefficient so as to slow down its variation.

The experimental results confirm that the proposition is effective, with the ability to stabilize the comanipulated dynamics and to restore the human’s natural behavior.

This paper concerns applications of comanipulation where the viscosity coefficient is designed to decrease as the velocity increases. An instability problem, which was of vital importance in terms of safety and performance but unreported in the literature, was experimentally studied through human–robot experiments. A solution was proposed by including a secondary dynamics in the variations of the viscosity. Its effectiveness was supported by the practical point-to-point motion experiments.

The purpose of this paper is to improve the lubrication performance of a water-lubricated polymer bearing with axial grooves, especially enlarge the minimum film thickness.

The bearing diameter is enlarged near the axial ends of the journal, with axial openings of a trumpet shape. A numerical model is developed which considers the proposed trumpet-shaped openings, bush deformation and grooves. The generatrix of the trumpet-shaped opening is assumed to be a paraboloid. Three different variations are covered, and the influences of the trumpet-shaped openings’ parameters on the bearing performance are analyzed.

The appropriate trumpet-shaped openings at the axial ends effectively increase the minimum film thickness, and the impact of trumpet-shaped openings on load carrying capacity is very small or even negligible. For the water-lubricated polymer bearing with axial grooves analyzed in this paper, the appropriate trumpet-shaped openings increase the minimum film thickness from 0.53 to 11.14 µm and decrease the load carrying capacity by 2.48 per cent.

The results of this study can be applied to marine propeller shaft systems and other systems with polymer bearings.

This paper has presented an approach for significantly increasing the minimum film thickness of a water-lubricated polymer bearing. A study on the performance improvement of water-lubricated polymer bearings with axial grooves is of significant interest to the research community.

The purpose of this paper is to synthesize lessons from the agricultural value chain models and their associated financing mechanisms in China and India as to provide policy recommendations on how best to facilitate development of efficient and inclusive value chains.

The paper builds on a review of the existing literature on agricultural value chains and their financing mechanisms, and draws lessons from it for strengthening interface between product and financial markets in order to enable smallholders capture benefits of the value addition.

From the comparative review of value chain financing mechanisms and current policy contexts the authors find dominance of internal financing of value chains (in terms of provision of inputs, technology and services) in both the countries. Value chain finance from commercial banks and other financial institutions is limited and mainly through tripartite agreements among the financing institutions, lead firms and farmers.

The lessons drawn from various value chain models and their financing mechanisms provide feedback to financial institutions and policymakers to take measures to strengthen value chain finance in smallholder agriculture.

The paper undertakes a rigorous review of the existing value chain models and their financing mechanisms in light of the most recent research on emerging innovations and development strategies, in order to glean key lessons for policy recommendations on strengthening linkages between financial and product markets.

Nested within institutional theory and the political economy perspective, this study aims to examine Chinese outward foreign direct investments (OFDI)-supporting organizations and fostering mechanisms for its SMEs in Europe’s largest economy, Germany.

The authors conduct a multiple-case study to present rich insights from elite interviews with representatives of Chinese and German governmental organizations, intermediary parties and specialized OFDI consultants. In addition, the authors analyze secondary data such as presentations, websites, brochures, social media and recent Chinese OFDI policies for SMEs. The findings are triangulated by interviewing business owners and senior executives of seven Chinese SMEs that have invested in Germany.

Cooperating with Germany’s federal government, China’s ministries implemented an effective OFDI support network in Germany, which connects and benefits both economies. This includes Chinese governmental organizations, privately-held national champions, German–Chinese business associations and linked intermediary parties. These organizations support SMEs through four main mechanisms: networking and information, mutually beneficial knowledge transfer between innovation partners, lobbying for potential cooperation and an objective picture of Chinese OFDI and facilitating investment services.

This study advances OFDI theory and contributes to the growing discussion on the internationalization of Chinese SMEs by shedding light on China’s OFDI support organizations and mechanisms in the German market. The study also offers practical contributions. Understanding better how governments can spur internationalization is vital, as it determines the effectiveness of policymaking and fosters international mutual understanding, cultural exchange and firm growth and innovation (Ahlstrom, 2010), and hence ultimately contributes positively to society. Moreover, knowing the specific OFDI support organizations and measures China is currently adopting can serve as a helpful orientation for Chinese entrepreneurs who plan to invest in Germany.

This paper aims to demonstrate how the integration of netnography and business analytics can support companies in the process of value creation from social big data by leveraging on customer relationship management and customer knowledge management (CKM).

This paper adopts the methodology of a single case study by using desk analysis, netnography and business analytics. The context of analysis has been identified into the case of Aurora Company, a well-known producer of fountain pens.

The case demonstrates how the integration of big data analytics and netnography is relevant for the development of a customer relationship management strategy. The results obtained have been categorized according to the three main categories of customer knowledge, such as knowledge for, from and about customer.

This paper presents implications for the advancement of the theory on CKM by demonstrating, as the acquisition, storage and management of data generated by customers on social media require the adoption of a cross-disciplinary approach resulting from the integration of qualitative and quantitative approaches. The framework is structured as methodological tool to detect knowledge in virtual community.

Practical implications arise for managers and entrepreneurs in terms of value creation from knowledge assets generated on social big data through the management of the customers’ relationship and data-driven innovation patterns.

This paper offers an original contribution of integration of well-established research streams. The focus on the knowledge under the perspectives of information assets for, from and about customers in the debate on value creation and management of big data is an element of value offered by this study in addition to the comprehension of strategies of social customer relationship management as actual initiative embraced by a company in the leveraging of innovation and tradition.