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This paper discloses the learning process and stakeholder relations in eco-innovation dynamics at a large state-owned wind turbine manufacture in China in the past 7 years. Based on an understanding of eco-innovation and eco-innovation dynamics, we propose an analytical framework of eco-innovation dynamics from a multi-perspective of learning, triple helix and path dependence. We find that, in case company's developing wind turbine business: (1) individual and collective learning were characterized by a Do-Use-Interact mode in product innovation and assembly procedure innovation and diverse learning approaches were employed; (2)its product development, marketing strategy and stakeholder relations were considerably affected by central government and local government on policies, directives, regulations; (3) co-R&D with foreign companies provided it an important learning platform on product development; (4) NGOs of industry associations and certification institutes involved behaved as semi-government authorities and their supposed role of providing expertized knowledge were weakened in view of case company.

With the development of modern industry and scientific technology, production equipment plays an increasingly important role in military and industrial production, and the fault detection signal of gears and bearings state in transmission equipment becomes very important. Therefore, this paper proposes a gear-bearing composite fault signal decomposition and reconstruction method, which combines the marine predator algorithm (MPA) and variational mode decomposition (VMD) technologies. For the parameters' selection of VMD, the optimization algorithm allows us to quickly and accurately obtain the results with the best kurtosis correlation index after signal decomposition and reconstruction. The experiments demonstrate the excellent performance of our method in the field of separation and denoising mixed gear-bearing fault signals.

"Big data has been upgraded to our national strategy and has become a catalyst for national and local economic development. With the further promotion of big data and artificial intelligence (AI), the new business model needs to optimize and upgrade. The integration of the blockchain industry will fully implement the digital China strategy and promote the application of big data in China. This unique compendium gives a comprehensive understanding of the blockchain content through the path of technological innovation. It enables readers to fully understand the role of blockchain in promoting the digital economy. The volume will be a useful reference guide for relevant personnel in state ministries and commissions, state-owned enterprises, big data, AI, as well as teachers, researchers and students in higher education institutions"--

Despite the pivotal role of employees in relation to organizational change, few studies have proposed an integrated influence mechanism that accounts for employee change readiness. By combining public service motivation (PSM), person–organization (P–O) fit, and expectancy–disconfirmation theories (EDT), we developed a moderated mediation model to explore individual-level impacts on organizational change. Based on questionnaire data collected from 512 doctors working in public hospitals in China, we found that individual doctors' PSM positively contributed to their readiness for change but was moderated by self-efficacy and job satisfaction. Specifically, doctors with decreased job satisfaction resulting from realizing their limited capacity to influence policies from higher-ups tend to show a lack of willingness to actively prepare for change. In sum, this study not only contributes to a micro-level understanding of employees' readiness for change but also proposes feasible suggestions to enable smoother and more successful organizational changes in public sector organizations. The research findings illuminate the crucial role that individual-level dynamics play in organizational change for scholars and practitioners.

AbstractPromoting demographic diversity and representation in the public sector workforce is a critical prerequisite for achieving social equity. This study investigates gender differences in public sectoral preference in China, subsequently exploring the underlying mechanisms that cause such a gender gap. Based on social psychological theories, this study develops and tests a moderated mediation model that examines public service motivation (PSM) as the mediating mechanism and perceived discrimination as the moderator. Utilizing the nationally representative China Education Panel Survey, our findings suggest a strong gender effect regarding the attractiveness of public sector employment in China. In terms of the specific mechanism whereby gender helps predict public sectoral preference, PSM indeed plays a mediating role. Specifically, the gender gap in public sector employment will be further widened by PSM when perceived discrimination is high. Overall, this study contributes to the extant literature by exploring the effects of gender on public sector preferences and to the practice by helping policymakers ideate solutions to enhance diversity effectively.

Abstract: How do Chinese local political elites prioritise their attention in the one-party system? This study examines the issue diversity among China's local cadres by analysing the agendas of 707 local Party secretaries during their daily official activities from 2005 to 2019. Findings reveal that political and economic issues significantly dominate the secretaries' attention, overshadowing other niche topics. Yet after the 18th National Congress of the Communist Party of China (CPC) in 2012, there has been an increase in the secretaries' focus on Party affairs while there has been a decline in their focus on economic issues, leading to fragmented attention and disproportionate changes. These findings not only highlight the tension between the broader Party reforms and the actual responses of local officials, but also suggest the CPC's efforts to reshape the bureaucratic system by transforming local cadres into "all-rounders" capable of addressing diverse challenges while maintaining strong political leadership and loyalty.

Compared to democracies, our understanding of policy attention in authoritarian governments remains limited. Using data from 612 Chinese municipal party secretaries' official activities, we investigate the structural factors within the authoritarian bureaucratic system influencing new officials' attention for economic issues. The findings reveal that younger officials and those transferred from other regions exhibit a clear preference for economic issues. Moreover, higher economic growth expectations from superior governments are linked to increased attention to urban economic affairs by officials. This study enriches the literature on comparative agenda research by discussing the relationship between policy attention allocation and authoritarian cadre management.

How do Chinese local political elites prioritise their attention in the one-party system? This study examines the issue diversity among China's local cadres by analysing the agendas of 707 local Party secretaries during their daily official activities from 2005 to 2019. Findings reveal that political and economic issues significantly dominate the secretaries' attention, overshadowing other niche topics. Yet after the 18th National Congress of the Communist Party of China (CPC) in 2012, there has been an increase in the secretaries' focus on Party affairs while there has been a decline in their focus on economic issues, leading to fragmented attention and disproportionate changes. These findings not only highlight the tension between the broader Party reforms and the actual responses of local officials, but also suggest the CPC's efforts to reshape the bureaucratic system by transforming local cadres into "all-rounders" capable of addressing diverse challenges while maintaining strong political leadership and loyalty. (China/GIGA)