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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.

From the 2000s onward, construction practices of urban residential buildings in China have shown a material transformation from clay brick to aerated concrete block. Moreover, the consumption of insulating materials for buildings has been increasing due to the new requirements in building energy-saving standards. This transformation and the increased consumption of insulating materials might have a vital impact on a building’s thermal comfort and its associated energy flows. Therefore, the purpose of this paper is to investigate the indoor thermal performance of urban residential buildings built with different materials and further discuss the correlations between indoor thermal comfort and the associated energy input.

This study investigated four residential buildings selected from four residential communities located in the cold climate zone of China. The Integrated Environment Solutions program was used to evaluate the thermal comfort levels and to quantify the operational energy consumption of the case study buildings. Additionally, the University of Bath’s Inventory of Carbon and Energy database was used to estimate the embodied energy consumption and CO₂ emissions.

The study found that materials transition and increasing consumption did not necessarily improve indoor thermal comfort. However, the materials transition has significantly decreased the embodied energy consumption of urban residential buildings. Furthermore, the increased utilization of insulating materials has also decreased the heating and cooling energy consumption. Therefore, overall, the environmental impacts of urban residential buildings have been reduced significantly.

In the future, residential buildings completed in the 1990s will need regular maintenance, such as adding insulation. Residential buildings completed based on the latest energy-saving requirements should optimize their ventilation design, for example, by increasing the ventilation rate and by reducing solar heat gains in the summer.

This paper investigates the effects of the materials change on thermal comfort levels and the environmental impacts of urban residential buildings in the cold climate zone of China, as these have not been the focus of many previous studies.

This study aims to propose a new airport gate assignment method to effectively improve the comprehensive operation capacity and efficiency of hub airport. Gate assignment is one of the most important tasks for airport ground operations, which assigns appropriate airport gates with high efficiency reasonable arrangement.

In this paper, on the basis of analyzing the characteristics of airport gates and flights, an efficient multi-objective optimization model of airport gate assignment based on the objectives of the most balanced idle time, the shortest walking distances of passengers and the least number of flights at apron is constructed. Then an improved ant colony optimization (ICQACO) algorithm based on the ant colony collaborative strategy and pheromone update strategy is designed to solve the constructed model to fast realize the gate assignment and obtain a rational and effective gate assignment result for all flights in the different period.

In the designed ICQACO algorithm, the ant colony collaborative strategy is used to avoid the rapid convergence to the local optimal solution, and the pheromone update strategy is used to quickly increase the pheromone amount, eliminate the interference of the poor path and greatly accelerate the convergence speed.

The actual flight data from Guangzhou Baiyun airport of China is selected to verify the feasibility and effectiveness of the constructed multi-objective optimization model and the designed ICQACO algorithm. The experimental results show that the designed ICQACO algorithm can increase the pheromone amount, accelerate the convergence speed and avoid to fall into the local optimal solution. The constructed multi-objective optimization model can effectively improve the comprehensive operation capacity and efficiency. This study is a very meaningful work for airport gate assignment.

An efficient multi-objective optimization model for hub airport gate assignment problem is proposed in this paper. An improved ant colony optimization algorithm based on ant colony collaborative strategy and the pheromone update strategy is deeply studied to speed up the convergence and avoid to fall into the local optimal solution.

This study applied the GM(1,1) model of Grey theory to forecast sales of eight sub‐category non‐alcoholic beverages in Taiwan between 2001 and 2003. According to our measured results, the accuracy of the new forecasting model exceeds 95 per cent. The validity of predictions using the new model is clearly high. The model estimates that the total beverages market will grow, but growth rates will vary for individual sub‐categories. In relation to current growth, from 2001 to 2003, tea drinks, carbonated drinks, functional drinks and sports drinks will experience decreased market growth, while bottled water and fruit and vegetable juices will be a high growth market and coffee drinks and other drinks will enjoy improved sales. These results provide a valuable reference for the Taiwanese beverage industry developing marketing plans.

Online patient reviews are of considerable importance on online health platforms. However, there is limited understanding of how these reviews are generated and their impact on patients' choices of physicians. Therefore, this study aims to investigate the antecedents and consequences of online patient reviews on online health platforms.

This study introduced an online interaction model with multiple stages aimed at examining how physicians' service quality affects patients' review behavior and, consequently, influences patients' choices of physicians.

The results revealed that technical quality and emotional care significantly influenced the effort that patients exert and their use of positive emotional words when writing reviews, which, in turn, positively influenced patients' selection of physicians. Moreover, it was found that the voice channel had a significant moderating effect on the relationship between physician service quality and patient review behavior.

The study’s findings can help online health platform managers improve the platform system by optimizing the integrated text and voice interaction functions. The findings can also support physicians in improving service quality, managing online reviews and attracting patients’ choices.

This study enriches the literature on physician service quality, patient online reviews and choices in online health platforms. Furthermore, this study offers a novel perspective on the social exchange process in online healthcare settings by highlighting the role of media in shaping physician–patient interactions.

Weather and climate have a strong impact on tourism. However, because meteorological forecast information is considered a public good, people often overlook its market value. This study uses the contingent valuation method (CVM) to evaluate the economic value of a stargazing forecast system and assessed whether such a system would increase the public's willingness to stargaze. The results demonstrate that the economic value of the proposed stargazing forecast system is NT$ 0.2–2.5 billion, and the total value was 0.27–3.5 billion when protest responses are excluded. In addition, a stargazing forecast system could increase the public's willingness to engage in stargazing, indicating that both the system and meteorological information have a tremendous nonmarket value. Accordingly, this study suggests that the government could develop a stargazing forecast system and partner with famous stargazing destinations to popularize stargazing to propel the growth of the tourism industry.

Doctor–medical institution collaboration (DMIC) services are an emerging service mode in focal online health communities (OHCs). This new service mode is anticipated to affect user satisfaction and doctors' engagement behaviors. However, whether and how DMIC occurs is still ambiguous because the topic is rarely examined. To bridge this gap, this study explores doctors' participation in DMIC services and its effects on their online performance, as well as its effect on patients' evaluation of them on OHC platforms.

The authors propose hypotheses based on structural holes theory. A unique dataset obtained from one of the most popular OHCs in China is used to test the hypotheses, and difference-in-differences estimation is adopted to test the causality of the relationship.

The results demonstrate that providing DMIC services improves doctors' online consultation performance and patients' evaluations of them but has no significant effect on doctors' knowledge-sharing performance on OHC platforms. Doctors' knowledge-sharing performance and consultation performance mediate the relationship between participation in DMIC services and patients' evaluation of doctors. Regarding doctors' participation in DMIC services, its impact on doctors' consultation performance and patients' evaluation of them is weaker for doctors with higher professional titles than for doctors with lower professional titles.

The findings clarify the value creation mechanisms of online collaboration between doctors and medical institutions and thereafter facilitate doctors' participation in DMIC services and enhance the sustainable development of OHCs.

The purpose of this paper is to determine the key success factors (KSFs) of purchasing decision making of overseas importers of Taiwanese products and the Taiwanese exporters; and second, to translate these KSFs into critical problems and formulate strategies to solve them.

The authors use grey theory to identify the KSFs. In the end, 24 KSFs are obtained and changed into 22 critical problems. That is, the authors define what characteristics need to be improved for each critical problem and what characteristics could worsen (deteriorate) when the improved parameters are applied to solve the critical problems. Then, the authors use the TRIZ contradiction matrix to determine inventive principles they relate to and apply them to formulate the strategies for the hand‐tool industry.

The study offers short‐, medium‐ and long‐term improvement strategies for companies in the hand‐tool industry in the area of purchasing decision making.

The paper contributes in four ways. First, in understanding the overseas importers and the Taiwanese exporters' purchasing decision making with reference to the hand‐tool industry in Taiwan. Second, it determines B2B communication tools, which is a theoretical contribution of this paper to the literature. Third, companies in Taiwan and other countries can also apply strategies formulated in this research to solve similar problems. Finally, it simulates the critical problems and its solutions in the operations.

This chapter synthesizes the economics, law, and technology of security tokens and security token offerings (STOs). Security tokens are an increasingly important instrument in decentralized finance (DeFi) markets. They are blockchain-based investment contracts that are subject to securities law. Interoperability, fractional ownership, market liquidity, and rapid settlement are the main reasons security tokens are a primary catalyst for digitizing finance. The chapter empirically compares STOs with initial exchange offerings (IEOs) and initial coin offerings (ICOs). STOs take longer and raise more funding. However, controlling for other factors, the amount raised in STOs and IEOs is lower than in utility-token ICOs. These findings suggest an avenue for future research. Moreover, both the law and the technology of security tokens need to address critical challenges related to the competent jurisdiction in multinational activities and blockchain interoperability, scalability, and natural resource degradation.

Online health communities can be both supportive and vulnerable and highly rely on stable engagement from core members. Understanding the factors affecting core member churn is vital. This study examines a hair-loss-related online health community, taking a meso-level community approach. It investigates how users’ potential social capital, proactive social engagement and received social support in the community influence their churn.

This study collected the complete dataset spanning 13 years from a hair-loss-related online health community in mainland China. It identified 4,270 core users with over ten posted messages each, along with their associated text. Social network analysis and survival analysis were then used to calculate user node centrality and create a hazard model for user churn.

The findings indicate that increased social capital and social support can help prevent churn. However, higher social engagement alone does not directly reduce users’ likelihood to withdraw. Instead, users are more likely to stay in the community when highly engaged if they also receive substantial social support. Social support emerges as a critical factor in this mechanism.

This study innovatively adopts a meso-level community perspective, investigating user churn within an online health community for individuals with a self-limiting condition – hair loss. The research probes the interactive effects of user engagement and social support on churn within the online health community. Advice on sustaining member participation is given based on the findings as well as Chinese culture.