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This paper aims to investigate the antecedents of manufacturing firms’ long-term orientation towards their suppliers in the context of outsourcing relationships in China.

Based on survey data collected from 224 manufacturing firms in China, this study examines the hypothesized relationships.

The results show that task conflict has a negative effect on long-term orientation, both Chinese guanxi and formal control are useful governance mechanisms to enhance long-term orientation, and the negative effect of task conflict on the long-term orientation weakens as Chinese guanxi between a manufacturer and its supplier increases.

This study contributes to a better understanding of conflict management in outsourcing relationships in China.

Agriculture and cultivation firms are facing severe competition in the saturated market. Due to the characteristics of heavy assets, low investment return, long cycle and high price fluctuation, agri-food firms require innovations for capital support. The purpose of this paper is to provide valuable insights on how firms in the food/agricultural industry approach innovations and reinforce their advantages through functional and structural innovations by adopting supply chain finance (SCF).

This research adopts a single-case study methodology to investigate the innovations and mechanisms taking place at H Corp Agriculture Group (H Corp hereafter), a Chinese egg company.

The findings of this paper indicate that SCF could have a great impact on supply chain management through functional and structural innovations throughout the supply chain and solve the capital constraint problems in the agricultural development process, promoting the implementation of the integration strategy as well as innovation in the agricultural industry chain. The research also shows that supply chain structural and functional innovations could promote corporate social responsibility (CSR) and creating shared value (CSV).

The research contributes to the application of SCF mechanisms and the realization of CSV and CSR jointly – both in the literature and in firms’ practices. It also contributes to the extension of structural and functional innovations and vertical integration of the supply chain. However, generalizability and universality are insufficient for a single case study in the specified industry. Data collection and quantitative analysis could be extended for further research.

The study addresses the need for comprehensive research on SCF and its applications. It proposes effective and efficient strategies for agri-food firms applying SCF to overcome industry capital constraints and develop competitiveness. It also provides a balanced and positive circulation between economic value and social value, realizing CSR and CSV.

The purpose of this study is to advance the understanding of digitalization–sustainability relationships in the digital age. Specifically, this study aims to test the link between Chinese digital firms’ adoption of digital technologies and green innovation. This study highlights the peculiarities of digital firms related to green innovation and how the adoption of digital technologies contributes to the sustainable development agenda.

This study empirically examines the impact of digital technologies on green innovation outcomes in publicly listed digital firms in China from 2010 to 2020. Using panel data from the China Stock Market and Accounting Research Database (CSMAR) and the Chinese Research Data Services Platform, the authors estimate regression models and find support for the hypotheses.

The authors find that the digitalization level of firms has a positive impact on corporate green innovation. In addition, this relationship is positively moderated by the level of internationalization in the firms. Moreover, the results of this study past the robustness and endogeneity checks.

This study provides novel insights into the green innovation of digital firms by analyzing the knowledge management capabilities of digital firms as well as the impact of the level of internationalization on knowledge acquisition and management (i.e. boundary conditions). Specifically, the findings of this study provide a new context to encourage study on green innovation. Moreover, this study enriches the literature on corporate digitalization and the factors influencing corporate green innovation.

Upper-limb joint kinematics are highly complex and the kinematics of rehabilitation exoskeletons fail to reproduce them, resulting in hyperstaticity and human–machine incompatibility. The purpose of this paper is to design and develop a compatible exoskeleton robot (Co-Exos II) to address these problems.

The configuration synthesis of Co-Exos II is completed using advanced mechanism theory. A compatible configuration is selected and four passive joints are introduced into the connecting interfaces based on optimal configuration principles. A Co-Exos II prototype with nine degrees of freedom (DOFs) is developed and still owns a compact structure and volume. A new approach is presented to compensate the vertical glenohumeral (GH) movements. Co-Exos II and the upper arm are simplified as a guide-bar mechanism at the elevating plane. The theoretical displacements of passive joints are calculated by the kinematic model of the shoulder loop. The compatible experiments are completed to measure the kinematics of passive joints.

The compatible configuration of the passive joints can effectively reduce the gravity influences of the exoskeleton device and the upper extremities. The passive joints exhibit excellent compensation effect for the GH joint movements by comparing the theoretical and measured results. Passive joints can compensate for most GH movements, especially vertical movements.

Co-Exos II possesses good human–machine compatibility and wearable comfort for the affected upper limbs. The proposed compensation method is convenient to therapists and stroke patients during the rehabilitation trainings.

The purpose of this research is to address the existing gap in the study of construction and demolition waste (C&DW) by focusing on its impact on human health throughout the entire life cycle. And this research provides a comprehensive assessment model that incorporates the release of gaseous pollutants and particulate matter during the whole life cycle of C&DW, thereby contributing to a more holistic understanding of its impact on human health.

The research was conducted in two stages. Firstly, the quantitative model framework of pollutants emitted by C&DW was established. Three types of pollutants were considered, namely nitrogen dioxide (NO₂), sulfur dioxide (SO₂) and inhalable particulate matter (PM10). Second, disability-adjusted life year (DALY) and willingness to pay (WTP) assessments were used to provide a monetary quantified health impact for pollutants released by C&DW.

The results show that the WTP value of PM10 is the highest among all pollutants and 8.68E+07 dollars/a, while the WTP value in the disposal stage accounts for the largest proportion compared to the generation and transportation stage. These findings emphasize the importance of PM10 and C&DW treatment stage for pollutant treatment.

The results of this study are of great significance for the management department to optimize the construction management scheme to reduce the total amount of pollutants produced by C&DW and its harm to human health. Meanwhile, this study fills the gap in existing research on the impact assessment of C&DW on human health throughout the whole life cycle, and provides reference and basis for future research and policy formulation.

This chapter describes five disciplinary domains of research or lenses that contribute to the design of a team tutor. We focus on four significant challenges in developing Intelligent Team Tutoring Systems (ITTSs), and explore how the five lenses can offer guidance for these challenges. The four challenges arise in the design of team member interactions, performance metrics and skill development, feedback, and tutor authoring. The five lenses or research domains that we apply to these four challenges are Tutor Engineering, Learning Sciences, Science of Teams, Data Analyst, and Human–Computer Interaction. This matrix of applications from each perspective offers a framework to guide designers in creating ITTSs.

This paper aims to explore the relationship between team learning and individual performance and examine the mediating effect of individual reflection on such relations. As a contextual factor, the moderating role of psychological safety is investigated in the team learning–individual reflection relationship.

This paper is based on a survey with 229 effective participants, which included enterprise managers and their colleagues from part-time MBA program in one university located in Beijing, China. Path model is conducted to test the hypotheses proposed in this paper.

The results indicate that team learning is positively associated with individual reflection and performance. Individual reflection plays a mediating role between the relationship between team learning and individual performance. Perceived team psychological safety positively moderates the relationship between perceived team learning and individual reflection, such that the positive relation is more significant when employees perceived higher psychological safety.

This paper has both theoretical and practical implications. Theoretically, the authors establish the direct and indirect relationship between team learning and individual performance and aim to find additional support for Edmonson’s view suggesting that psychological safety would facilitate learning behavior. In terms of practical implications, the authors point the importance of developing learning teams and promoting individual learning.

The purpose of this paper is to design a smart handheld device with force regulating function, which demonstrates the concept of patient-specialized tools.

This handheld device integrates an electrical bioimpedance (EBI) sensor for tissue measurement and a constant force regulation mechanism for ensuring stable tool–tissue contact. Particular focuses in this study are on the design of the constant force regulation mechanism whose design process is through genetic algorithm optimization and finite element simulation. In addition, the output force can be changed to the desired value by adjusting the cross-sectional area of the generated spring.

The following two specific applications based on ex vivo tissues are used for evaluating the designed device. One is in terms of safety of interaction with delicate tissue while the other is for compensating involuntary tissue motion. The results of both examples show that the handheld device is able to provide an output force with a small standard deviation.

In this paper, a handheld device with force regulation mechanism is designed for specific patients based on the genetic algorithm optimization and finite element simulation. The device can maintain a steady and safe interaction force during the EBI measurement on fragile tissues or moving tissues, to improve the sensing accuracy and to avoid tissue damage. Such functions of the proposed device are evaluated through a series of experiments and the device is demonstrated to be effective.

Carbon trading mechanism has been adopted to foster the green transformation of the economy on a global scale, but its effectiveness for the power industry remains controversial. Given that energy-related greenhouse gas emissions account for most of all anthropogenic emissions, this paper aims to evaluate the effectiveness of this trading mechanism at the plant level to support relevant decision-making and mechanism design.

This paper constructs a novel spatiotemporal data set by matching satellite-based high-resolution (1 × 1 km) CO₂ and PM_2.5 emission data with accurate geolocation of power plants. It then applies a difference-in-differences model to analyse the impact of carbon trading mechanism on emission reduction for the power industry in China from 2007 to 2016.

Results suggest that the carbon trading mechanism induces 2.7% of CO₂ emission reduction and 6.7% of PM_2.5 emission reduction in power plants in pilot areas on average. However, the reduction effect is significant only in coal-fired power plants but not in gas-fired power plants. Besides, the reduction effect is significant for power plants operated with different technologies and is more pronounced for those with outdated production technology, indicating the strong potential for green development of backward power plants. The reduction effect is also more intense for power plants without affiliation relationships than those affiliated with particular manufacturers.

This paper identifies the causal relationship between the carbon trading mechanism and emission reduction in the power industry by providing an innovative methodology for identifying plant-level emissions based on high-resolution satellite data, which has been practically absent in previous studies. It serves as a reference for stakeholders involved in detailed policy formulation and execution, including policymakers, power plant managers and green investors.

The authors aim to measure the effects of ambidextrous innovation and its mix strategy on organizational obsolescence with the moderating roles of environmental turbulence.

Hierarchical regression analysis was used to test the hypotheses on the basis of the survey data of 198 firm employees in China.

Both exploratory and exploitative innovations significantly restrain organizational obsolescence. The complementary strategy of ambidextrous innovation is negatively correlated to organizational obsolescence, but the impact of balanced strategy is not significant. Environmental turbulence negatively moderates the relationship between exploratory innovation and organizational obsolescence, whereas it cannot moderate the effect of exploitative innovation.

The empirical and conceptual findings have important implications for organizations countering obsolescence through the construction of a mix strategy of ambidextrous innovation. This study enriches and extends obsolescence theory by introducing the joint mechanism of ambidextrous innovation and environmental turbulence.