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This paper aims to successfully synthesize three-dimensional spindle-like Au functionalized Co₃O₄-ZnO nanocomposites; characterize the structure, morphology and surface chemical properties of the products; study the effect of Au NPs doping concentration, operating temperature different gas to, sensing properties; and introduce an attractive gas sensor for acetone detection.

Au NPs functionalized Co₃O₄-ZnO nanocomposite was prepared by coprecipitation and impregnation methods; the structure and surface chemical property of the products were characterized by XRD, SEM, TEM, UV-Vis, BET and XPS. The sensing ability of Au@Co₃O₄-ZnO for acetone and mechanism was analyzed systematically.

The results of gas sensing tests show that the unique component structure, Schottky junction and catalytic effect of Au functionalization make it have low operating temperature, excellent selectivity, high response (10 ppm, 56) and rapid response recovery time.

All the characterization and test data of the prepared materials are provided in this paper and reveals the gas sensing mechanism of the gas sensor.

The detection limit is 2.92–100 ppb acetone. It is promising to be applied in low-power, micro detection and miniature acetone gas sensors.

The gas sensor prepared has a lower working temperature and low detection limit, so it has promising application prospects in low-concentration acetone detection and early warning.

The unique component structure, Schottky junction and catalytic effect of Au functionalization Co₃O₄-ZnO make it have low operating temperature, excellent selectivity and rapid response recovery time.

Cyberbullying is a globally pervasive problem and not novel in academia. Previous studies mainly focussed on the features, consequences and technological management of cyberbullying. However, most of the studies took cyberbullying examples in the West, and some issues still need to be addressed in the Chinese context. Thus, this study investigates how participants use cyberbullying words and why they use them in that particular way in China.

This study uses content analysis to summarise the typical features of cyberbullying words, revealing a positive relationship between cyberbullying words and sentimental expressions. This paper also uses the questionnaire (N = 705) to explore the prevalence of cyberbullying among Chinese Internet users and to compare the gender differences in the cognition of cyberbullying words and involvement in cyberbullying, in line with the social cognitive theory.

This study stated that people prefer repetitively using offensive words to achieve cyberbullying goals. Interestingly, this study does not find obvious gender differences in cyberbullying roles and cyberbullying language use. However, it explained the relationship between cognition and the use of cyberbullying words from a gender perspective.

Theoretically, this study expands cyberbullying studies into a new cultural environment, pointing to a novel term, “imbalanced relation,” for exploring cyberbullying behaviours. This study highlights the significance of technology and education in detecting and preventing cyberbullying, suggesting that educators and social media platforms can directly predict and prevent cyberbullying through textual perspectives and individuals' cognition of cyberbullying.

This study aims to examine cyberbullying linguistic and emotional features and individual differences in cyberbullying behaviour in a high-context culture like China. Its values include comparing the differences between cyberbullying in China and cyberbullying in the West from the linguistic and cultural directions and reconsidering the “power imbalance” feature of cyberbullying.

By discussing the spatial spillover effect and regional heterogeneity of digital economy and green agricultural development level, this paper aims to provide countermeasures and suggestions for the better development of green agriculture in the contemporary era when digital economy is universally developed and at the same time provide development suggestions suitable for green agriculture's development characteristics and initial conditions for different regions.

This paper discusses the theoretical foundation of the digital economy and green agriculture development and utilizes panel data from 30 provinces in China from 2011 to 2018. By employing the Super-Efficiency Slack-based Measure and Malmquist-Luenberger (SBM-ML) model based on unexpected output to measure the total factor productivity of green agriculture and employing the spatial panel Durbin model to empirically test the spatiotemporal effects of the digital economy on green agriculture development from both temporal and spatial dimensions. Finally, the model is tested for robustness as well as heterogeneity.

The research findings are as follows: First, from the perspective of time effect, digital economy has a continuous driving effect on the development of green agriculture and with the passage of time, this effect becomes more and more prominent; second, from the perspective of spatial effect, digital economy has a significant positive impact on the development of local green agriculture, while digital economy has a significant negative impact on the development of surrounding green agriculture. Finally, the impact of digital economy on the development of green agriculture shows significant differences in different dimensions and regions.

As an important driver of economic growth, the digital economy has injected new impetus into agricultural and rural development. Along with the intensifying environmental pollution problems, how to influence the green development of agriculture through the digital economy is a proposition worthy of attention nowadays. This paper analyzes the relationship between the digital economy and agricultural green development in multiple dimensions by exploring the temporal and spatial spillover effects of the digital economy on agricultural green development, as well as the heterogeneity in different dimensions and in different regions and derives policy insights accordingly in order to improve relevant policies.

This paper aims to recognize whether government policy supervision or social network platform supervision can effectively promote the control of misconducts of web celebrity brand eWOM marketing and to identify the key factors influencing the unhealthy web celebrity marketing environment.

Theoretical research was employed to develop a practical approach for applying evolutionary game theory to eWOM marketing controlling strategies modeling via dynamic visualization, systematic simulation experiments.

Evolutionary game theory combined with dynamic simulation modeling can provide a formal approach to understanding web celebrity brand eWOM marketing decision-making in social media, which can thus support the control of unhealthy web celebrity marketing environment. The results demonstrate that the reasonable control of social platform control costs may be more effective than the government policy on web celebrity fake brand eWOM marketing behaviors.

The study enriches the research on the management and control of eWOM marketing as well as provides guidance for the sustainable development of the web celebrity economy in social media.

Drawing upon social capital theory, this research aims to explore the influence of three dimensions of green intellectual capital (GIC) (i.e. green human capital [GHC], green structural capital and green relational capital) on green supply chain integration (GSCI) (i.e. green supplier, internal and customer integration), and the mediating effect of supply chain transformational leadership (SCTL).

To verify the hypothesized relationships, the authors conduct hierarchical regression analysis and bootstrapping method with two-waved survey data collected from 317 Chinese manufacturing firms.

The findings suggest that both green structural and relational capital positively influence three dimensions of GSCI, while GHC only positively affects green internal and customer integration. In addition, SCTL mediates the impacts of green structural and relational capital on three dimensions of GSCI and mediates the impacts of GHC on green supplier and internal integration.

This research contributes to the GSCI literature and practice by deeming GIC as an intangible resource that can enhance GSCI and revealing the mediating role of SCTL.

Enterprise social media (ESM) are widely adopted in the organizations with the aim of improving employees' work performance. The purpose of this paper is to investigate the moderating effects of work context characteristics on the relationships between proactive motivations and usage behaviors of ESM communication and task collaboration feature sets.

Questionnaire surveys were used to gather data from 307 randomly chosen Chinese employees, who were also ESM users. The research model was examined using linear regression methods with the SPSS 24 software package.

The results indicate that work context characteristics (i.e. task interdependence and perceived organizational support) had significant moderating effects on the relationships between proactive motivations and usage behaviors.

By extending the model of proactive motivation to the ESM context, this study directly addresses how users can be energized to use ESM features.

Since a single environmental strategy is not sufficient to deal with the various institutional forces that firms are facing, this study proposes ambidextrous environmental strategy and aims to explore its drivers. Based on the awareness-motivation-capability (AMC) framework and resource orchestration theory, the authors investigate the configurational effects of perceived institutional force, green intellectual capital (GIC) and paradox cognition on achieving ambidextrous environmental strategy.

To explore these configurational effects, this study uses two-waved survey data from 317 Chinese manufacturing firms and the fuzzy set qualitative comparative analysis (fsQCA) method.

There are three equivalent configurational paths leading to ambidextrous environmental strategy. The findings suggest that firms with paradox cognition can better orchestrate GIC to achieve ambidextrous environmental strategy under different perceived institutional force. This study also finds three substitution effects between distinct conditions.

This study contributes to the existing literature by introducing the concept of ambidexterity into the field of environmental strategy and using the AMC framework to explore the configurational paths driving ambidextrous environmental strategy.

This study aims to grounded in the dynamic capability theory and focuses on the dynamic exchange capability framework, encompassing networkbuilding capability and resource integration capability, to explore the relationship between coopetition and resilience, with ecosystem digitalization serving as the boundary condition.

This study uses a survey study among 382 B2B startups with second-hand data from the city level.

Startups engaged in coopetition activities can build resilience through the mediating effects of network-building capability and resource integration capability. In addition, ecosystem digitalization positively moderates these relationships.

This study advocates for entrepreneurs to leverage coopetition to enhance resilience by activating network-building capability and resource integration capability and to apply ecosystem digitalization throughout this transformation process.

Many studies have discussed how to strengthen the resilience of startups, but the role of the entrepreneurial ecosystem in constructing resilience has received little attention. This study contributes to the understanding of the causal relationship between entrepreneurial ecosystem and entrepreneurship, promotes the development of the dynamic exchange capability framework, and sheds light on the flow of resources across borders within ecosystems.

Motivated by the apparent presence of the “productivity paradox” of information technology (IT) in agri-food supply chain (SC), the purpose of this paper is to explore how IT capabilities affect agri-food supply chain performance (SCP). Specifically, this paper investigates the direct and indirect impacts of IT capabilities on agri-food SCP through interorganizational relationships.

This paper employs the questionnaire survey method based on relevant literatures. Data are collected from Chinese 265 core firms' agri-food SC. Structural equation modelling (SEM) is mainly employed for hypothesis testing and analysis.

The main findings are as follows. First, IT capabilities have significant direct impact on agri-food SCP. Second, IT capabilities enhance interorganizational relationships in the agri-food SC. Third, interorganizational relationships positively influence agri-food SCP. Last, interorganizational relationships are important path factors and mediate the indirect impact of IT capabilities on agri-food SCP.

This research is limited to a particular sample, that is, agriculture-related firms in Chinese agri-food SC. The results need to be generalized to encompass wider samples. Future research could in greater detail study the links among IT capabilities, interorganizational relationships and agri-food SCP.

The study's findings could provide practical reference value for agriculture-related firms to design appropriate strategies to solve the IT “productivity paradox” and improve agri-food SCP from the perspectives of IT capabilities and interorganizational relationships.

This paper constructs a newly developed framework based on the resource-based view (RBV) and relational view to examine the links among IT capabilities, interorganizational relationships and agri-food SCP, and innovatively verifies the mediating effect of interorganizational relationships on the impact of IT capabilities on agri-food SCP.

Manufacturers are facing growing institutional pressures to enhance the manufacturers' sustainability. Establishing appropriate environmental strategy and implementing green supply chain integration (GSCI) are imperative initiatives for them. Nevertheless, prior research has predominantly examined the individual net impacts on sustainable performance. Drawing on the strategy-structure-environment (SSE) framework and configurational perspective, this study investigates the synergistic effects and multiple equivalent combinations of environmental strategy and GSCI under diverse institutional forces.

To empirically validate this relationship, the present study utilizes fuzzy-set qualitative comparative analysis (fsQCA) to analyze two-wave survey data collected from 317 manufacturers in China.

The findings indicate that individual dimension of environmental strategy and GSCI is not independently necessary. However, when combined, this results in seven equifinal configurations that lead to high sustainable performance. Combining all dimensions of environmental strategy and GSCI leads to the simultaneous achievement of high environmental, economic and social performance under perceived social pressure.

This study offers firms the flexibility to select from a range of pathways, allowing the firms to strategically filter and develop diverse combinations of environmental strategy and GSCI. These choices empower firms to enhance the firms' sustainable performance while navigating various institutional forces.

This study contributes to the existing literature by utilizing the SSE framework to investigate the configurational paths that influence sustainable performance. Additionally, this work introduces the fsQCA method to enhance the understanding of sustainable performance in the literature.