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Drawing on the integration of the knowledge-based theory and the resource orchestration theory, this study aims to develop a moderated mediation model on how design/manufacturing/administrative advanced manufacturing technology (AMT) influences product innovation performance. The authors hypothesized that the absorption capacity could mediate the AMT-innovation performance link and that design–manufacturing integration (DMI) could positively moderate the mediating effect of the absorption capacity.

To test the hypothesis, the authors conducted a mail survey of equipment manufacturing firms and obtained 302 valid responses for data analysis. Both hierarchical regression and bootstrapping analysis were conducted to empirically test the research model.

It is revealed that the absorption capacity partially mediated the effect of AMT on innovation and that DMI enhanced the mediated effect. Specifically, the mediating effect of the absorption capacity was more substantial and significant when DMI was high. However, the mediating effect of the absorption capacity was weaker and insignificant when DMI was low.

Overall, this study contributes to the AMT theory on innovation by identifying the absorption capacity and DMI as two key factors that elucidate why and under what conditions AMT affects innovation. Moreover, this study advises managers that besides developing AMT, firms should cultivate a strong DMI, which directs the absorption capacity toward converting the valuable knowledge in firms’ capital equipment into increased innovation performance.

China's marine economy occupies an important position within the national economy, and its contribution thereto is constantly improving. The overall operation of the marine economy shows positive developmental trends with potential for further growth. The purpose of this research is to analyse the prosperity of China's marine economy, reveal trends therein and forecast the likely turning point in its operation.

Based on the periodicity and fluctuation of China's marine economy development, China's marine economic prosperity indicator system is established from five perspectives. On this basis, China's marine economic operation prosperity index can be synthesised and calculated, then a dynamic factor model is constructed. Using the filtering method to calculate China's marine economic operational Stock–Watson index, Markov switching has been used to determine the trend to transition. Furthermore, China's current marine economic prosperity is evaluated through analysis of influencing factors and correlation analysis.

The analysis shows that, from 2017 to 2019, the operation of the marine economy is relatively stable, and the prosperity index supports this finding; meanwhile it also exposes problems in China's marine economy, such as an unbalanced industrial structure, low marine economic benefits and insufficient capacity for sustainable development.

Through the analysis of the prosperity of China's marine economy, the authors reveal the trends in China's marine economy and forecast its likely future turning point.

Grassroots innovations (GRIs) can contribute greatly to inclusive development and reach out populations and areas not reached by or ignored by the formal sector. The purpose of the paper is to study how China's science and technology (S&T) policies and programs are translated into GRIs.

A case study of the grassroots organizations of farmer Chen Guangxing, of Baodi County, Tianjin City, is applied.

Government S&T policies and programs do transfer to the grassroots innovators; the government support is continuous and all-round; the grassroots innovators' leadership is important to get the support; the research and diffusion projects that grassroots innovators received are integrated in some cases; and the S&T training contributes to farmers' research and project application.

There is a need to increase financial support to the grassroots innovators, provide guidance to them and set up a GRI reporting mechanism.

The paper gives an insight into the synergies and illustrates how and why the grassroots innovators benefit from the laws, policies and ensuing programs that are not directly meant for them.

In any time and space and under any circumstance, we find peasants are never passive actors in their livelihoods and rural development. Instead, they always create space for manoeuvre in order to make changes. This chapter analyses the innovative actions taken by the majority of rural inhabitants in rural areas during the overwhelming modernization process, so as to affirm that peasants are the main actors of rural development. It is they who have shaped the transformation of rural societies and the history. Through the analysis, this chapter concludes that rural development is not an objective, a blueprint nor a design. It is not the to-be-developed rear field in modernization. It is not the babysitter for cities, nor a rehearsal place for bureaucrats to testify their random thoughts. Rural development is what peasants do. The path they have chosen reveals scenery so different from modernization. If we regard development as a social change, or a cross with influential meanings, we could understand rural development as peasants’ victories over their predicament. Villages accommodate not only peasants, but without peasants villages would surely vanish. In this sense, the most important part in rural development or rural change is peasants – their conditions and their feelings.

This paper aims to reflect on the special issue that has collected studies by the research community in China pertinent to the country’s recent developments in sustainability accounting, management and policy, as well as to suggest possible future avenues of studies.

This paper articulates the current status of researching sustainability accounting, management and policy in China that is instigated by the country’s regulatory initiatives under its political economy. It highlights the papers accepted for the special issue, their areas of focus and the underlying characteristics.

It points out that the accepted research papers concentrate on issues related to corporate social responsibility disclosures, sustainability reporting and environmental management in China from the perspectives of the domestic stakeholders.

Future studies are likely to be increasingly interdisciplinary in nature and requires academia, policymakers and practitioners to make better collaborative efforts in researching about China’s sustainability and the efficacy of their engagement with stakeholders.

Studies on alignment between China’s further developments and UN’s sustainable development goals (SDGs) are particularly considered desirable as the country continues its globalization initiatives. Education about sustainability accounting for the working professionals and their next generation is much needed for China in support of developing a more sustainable economy aligned with UN's SDGs.

Scholars in China actively developing their research interests in this field reflect critical thinking about the country’s pursuit of sustainable development within a social-political economy that is dissimilar to the West. In the meantime, the country continues to develop into a significant stakeholder of the world’s sustainability implying expectation of transparency in sustainability performance.

With reference to the review exercise conducted for the special issue, it suggests that there are surging interests in researching accountability for sustainability across the local and international communities to facilitate much needed knowledge exchange. The country and indigenous culture of China, as well as its institutions in relation to sustainability, would require much further exploration in our world under globalization.

The purpose of this paper is to verify and extend the application of the policy acceptance model (PAM) in the field of green behavior. Under the PAM framework, the authors develop and empirically examine on how employee perception of corporate green policy (perceived ease of use and perceived usefulness) increases the acceptance of corporate green policy, which further leads to two types of employee green behavior. The authors also test the moderating roles of moral reflectiveness and performance orientation on these relationships.

The authors collected complete survey data from 223 work professionals in this study. Multiple regression method was used to test the hypotheses.

The results showed that there were significant positive impacts of two types of employee perceptions of corporate green policy (perceived ease of use and perceived usefulness) on their attitudes toward corporate green policy. Second, this study reported positive relationships between employees’ attitudes toward corporate green policy and their two types of green behavior. Finally, supplemental analyses supported moderated mediation models, that is, moral reflectiveness and performance orientation, respectively, and moderated indirect effects of employee perceptions on green behaviors through attitude toward corporate green policy.

The data came from a narrow demographic population, which restricts the generalizability of the findings and also raises questions about the specificity of green behaviors manifest in different industries. Besides, this study used cross-sectional, self-reported data, which limits our ability to draw causal conclusions.

Companies can shape employee perceptions regarding the usefulness and ease of corporate green policy to induce and consolidate employees’ task-related and proactive green behaviors.

This research will help companies to pay more attention to employees’ reflections and attitudes toward green policies, thus effectively promoting employees’ green behavior in the workplace. These actions will further promote the green development of the economy and society.

The authors extend the PAM framework to the area of green behavior. The PAM is applied to a more micro level of corporate green policy. Further, this paper points out that employees’ instrumental value (performance orientation) and moral trait (moral reflectiveness) moderate the impact of employees’ policy perceptions on their green behaviors.

The purpose of this paper is to research on optimization of spindle bearing preload based on efficiency coefficient method and provide theoretical guidance for variable preload of intelligent spindle.

Based on an established thermo-mechanical coupling model of angular contact ball bearing with fix-position preload, temperature rise and axial stiffness of the bearing at different speeds and preload are analyzed, and life of the bearing is estimated by the improved L-P theory. The bearing temperature rise, axial stiffness and life data are standardized, and the preload is optimized by the efficiency coefficient method according to the requirements of operating conditions.

The optimized preload meets comprehensive requirements of the bearing temperature rise, axial stiffness and life under different operating conditions.

In the past studies, it is rarely reported that temperature rise, stiffness and life of the bearing under thermo-mechanical coupling effect are used as objective functions to optimize preload at different speeds.

The peer review history for this article is available at: https://publons.com/publon/10.1108/ILT-06-2020-0205/

The purpose of this paper is to discover similarities and differences in the construction industry in China and the United States by using data analytic tools on data crawled from social media platforms.

The method comprised comprehensive data analytics using network link analysis and natural language processing tools to discover similarities and differences of social networks, topics of interests and sentiments and emotions on different social media platforms.

From the research, it showed that all clusters (construction company, construction worker, construction media and construction union) shared similar trends on follower-following ratios and sentiment analysis in both social media platforms. The biggest difference between the two countries is that public accounts (e.g. company, media and union) on Twitter posted more on public interests, including safety and energy.

The research contributes to knowledge about an alternative method of data collection for both academia and industry practitioners. Statistical bias can be introduced by only using social media platform data. The analyzed four clusters can be further divided to reflect more fine-grained groups of construction industries. The results can be integrated into other analyses based on traditional methodologies of data collection such as questionnaire surveys or interviews.

The research provides a comparative study of the construction industries in China and the USA among four clusters using social media platform data.

This study investigates the influence of social trust on the attainment of corporate environmental, social and governance (ESG) objectives.

This study conducts panel regression analysis on a distinctive dataset for 2009–2017 on Chinese firms.

The analysis reveals a significant positive association between social trust and firm-level ESG practices. Moreover, the impact of social trust on shaping ESG outcomes is further amplified by factors such as economic growth, corporate governance standards and institutional quality. This relationship remains statistically positive when the authors employ alternative measures and methodologies, such as the instrumental variables, propensity score matching and difference-in-differences approaches. Notably, the results of heterogeneity tests indicate that the Trust–ESG nexus is more prominent for state-owned enterprises and firms with substantial market capitalization, superior profitability and higher leverage.

This study expands the comprehension of the determinants of ESG and underscores the influential role of social trust as an informal institution in enhancing a firm's ESG performance.

Deep learning (DL) technology is used to design a voice evaluation system to understand the impact of learning aids on DL and mobile platforms on students’ learning behavior.

DL technology is used to design a speech evaluation system.

The experimental results show that the speech evaluation system designed has a high accuracy rate, the highest agreement rate with manual evaluation of pronunciation is 89.5%, and the correct speech recognition rate is 96.64%. The designed voice evaluation system and the manual voice rating system have a maximum error rate of 2%. The experimental results suggest that it is necessary to further optimize the learning aids for mobile platform. The learning aids of the mobile platform need to be further optimized to promote the improvement of student learning efficiency.

The results show that the speech evaluation system designed has good practical application value, and it provides a certain reference value for the future study of learning tools on DL.