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Sharing and disseminating debunking information are critical to correcting rumours and controlling disease when dealing with public health crises. This study investigates the factors that influence social media users' debunking information sharing behaviour from the perspective of persuasion. The authors examined the effects of argument adequacy, emotional polarity, and debunker's identity on debunking information sharing behaviour and investigated the moderating effects of rumour content and target.

The model was tested using 150 COVID-19-related rumours and 2,349 original debunking posts on Sina Weibo.

First, debunking information that contains adequate arguments is more likely to be reposted only when the uncertainty of the rumour content is high. Second, using neutral sentiment as a reference, debunking information containing negative sentiment is shared more often regardless of whether the government is the rumour target, and information containing positive sentiment is more likely to be shared only when the rumour target is the government. Finally, debunking information published by government-type accounts is reposted more often and is enhanced when the rumour target is the government.

The study provides a systematic framework for analysing the behaviour of sharing debunking information among social media users. Specifically, it expands the understanding of the factors that influence debunking information sharing behaviour by examining the effects of persuasive cues on debunking information sharing behaviour and the heterogeneity of these effects across various rumour contexts.

In view of the unknown environmental parameters and uncertain interference during gripping by the manipulator, it is difficult to obtain an effective gripping force with the traditional impedance control method. To avoid this dilemma, the purpose of this study is to propose an adaptive control strategy based on an adaptive neural network and a PID search optimization algorithm for unknown environments.

The method is based on a variable impedance model, and a new impedance model is established using a radial basis function (RBF) neural network to estimate unknown parameters of the impedance model. The approximation errors of the adaptive neural network and the uncertain disturbance are effectively suppressed by designing the adaptive rate. In the meantime, auxiliary variables are constructed for Lyapunov stability analysis and adaptive controller design, and PSA is used to ensure the stability of the adaptive impedance control system. Based on the Lyapunov stability criterion, the adaptive im-pedance control system is proved to have progressive tracking convergence property.

Through comparative simulations and experiments, the superiority of the proposed adaptive control strategy in position and force tracking has been verified. For objects with low flexibility and light-weight (such as a coke, a banana and a nectarine), this control method demonstrates errors of less than 10%.

This paper uses RBF neural networks to estimate unknown parameters of the impedance model in real-time, enhancing system adaptability. Neural network weights are updated online to suppress errors and disturbances. Auxiliary variables are designed for Lyapunov stability analysis. The PSA algorithm is used to adjust controller parameters in real-time. Additionally, comparative simulations and experi-ments are designed to analyze and validate the performance of controller.

Online retail platform corporate sustainable development (ORPCSD) has garnered significant interest and appeal among consumers. However, no scale has been developed to measure consumer perceptions of ORPCSD. Therefore, this study aimed to delineate the conceptual framework and dimensions underlying these perceptions and construct a reliable and valid measurement tool.

This study employed established qualitative and quantitative methods in two studies. In the first study, the dimensions and measurement items of consumer perceptions of ORPCSD were proposed using the grounded method. In the second study, the measurement scale was refined and validated using exploratory factor analysis, confirmatory factor analysis, and nomological validity examination.

The results indicated that consumer perception of ORPCSD consisted of three dimensions: economic, social, and environmental sustainability. The measurement scale for these dimensions comprised 25 items, demonstrating excellent psychometric properties.

This study contributes original insights by enhancing the current understanding of consumer perceptions of ORPCSD. Additionally, it provides researchers and managers with psychometric metrics to gauge these perceptions and offers actionable strategies for sustainable marketing initiatives.

This study investigates whether, how and under what circumstances off-farm work induces farmland abandonment, which is of great importance for developing countries to cope with food security.

Exploiting large-scale panel data from the newly released Chinese Family Database, this study employs a two-way fixed effects model to empirically estimate the causal relationship between off-farm work and farmland abandonment.

In the context of large-scale labor migration in rural China, current off-farm work leads to an increase in the probability and area of farmland abandoned due to insufficient agricultural labor. However, off-farm work does not harm farm households in plain areas, or villages with land rental markets, abundant agricultural labor, and agricultural machinery, while it harms others. Moreover, farmers who work off-farm in the local area are less likely to abandon their farmland than those in other areas. Additionally, when the number of off-farm workers in a household exceeds two, the probability and area of farmland abandonment will miraculously decline, as the household will no longer live entirely on agriculture.

This study may fill the gap in clarifying the relationship between off-farm work and farmland abandonment, and identify scenarios where off-farm work may not cause farmland abandonment through multiple dimensions, providing insights into the governance of farmland abandonment during rural-urban transformation in developing countries.

Drawing on the tenets of institutional theory, the purpose of this study is to examine the impact of Confucianism on technology for social good, while also considering the moderating influence of extrinsic informal institutions (foreign culture) and intrinsic formal institutions (property rights).

This study constructs a comprehensive database comprising 9,759 firm-year observations in China by using a sample of Chinese A-share listed firms from 2016 to 2020. Subsequently, the hypotheses are examined and confirmed, with the validity of the results being upheld even after conducting endogenous and robustness tests.

The findings of this study offer robust and consistent evidence supporting the notion that Confucianism positively affects technology for social good through both incentive effect and normative effect. Moreover, this positive influence is particularly prominent in organizations with limited exposure to foreign culture and in nonstate-owned enterprises.

The findings contribute to the literature by fostering a deep understanding of technology for social good and Confucianism research, and further provide a nuanced picture of the role of foreign culture and property rights in the process of technology for social good in China.

In the last few years, environmental issues have become a matter of survival. In this sense, e-waste management is among the major problems since it may be a way of mitigating mineral depletion. In this context, the literature lacks e-waste supply chain studies that systematically map supply chain challenges and risks concerning material recovery.

Given this context, the authors' paper conducted a systematic literature review (SLR) to build a framework to identify the constructs of e-waste supply chain risk management.

The paper revealed the theoretical relationship between important variables to achieve e-waste supply chain risk management via a circular economy (CE) framework. These variables include reverse logistics (RL), closed-loop supply chains (CLSC), supply chain risk management, supply chain resilience and smart cities.

The literature contributions of this paper are as follows: (1) a complete list of the risks of the e-waste supply chains, (2) the techniques being used to identify, assess and mitigate e-waste supply chain risks and (3) the constructs that form the theoretical framework of e-waste supply chain risk management. In addition, the authors' results address important literature gaps identified by researchers and serve as a guide to implementation.

This study examines conditions under which taxes and subsidies designed to mitigate corporate environmental impact positively influence corporate pro-environmental behavior (CPEB) adoption, considering unique dynamics within different industries.

A systematic literature review was conducted on 171 articles. Articles were coded using an inductive grid for comprehensive examination.

Taxes generally positively influence CPEB adoption, but reduced positive or even negative effects can arise. Subsidies, while often facilitating the achievement of environmental goals, variously impact CPEB. Explanations for variations include the level of taxation or subsidy, economic agent affected, subsidy source, nature of subsidy, factors external to tax or subsidy characteristics and conflicting environmental objectives. We suggest research avenues for each aspect, to enhance literature on the influence of tax policies on promoting CPEB.

Beyond general tax-policy considerations, we provide policymakers with recommendations for tax policies designed to promote CPEB.

We examine the distinctive effects of taxes and subsidies on CPEB adoption within diverse industries ((re)manufacturing, agriculture, shipping, automobile, freight transport and power generation). We compare specific effects across industries, and advocate detailed exploration of recurrent elements identified, emphasizing their potential significance in designing taxes and subsidies that promote CPEB.

Ever since China’s implementation of the open-door policy in 1978, there has been a remarkable transformation in the nation’s economic landscape. Undesirably, amidst the rapid urban development, the importance of prioritising and nurturing rural development in China has not received unwavering attention. Nevertheless, the Chinese government has embarked on many ventures to bridge the disparities existing amidst urban and rural areas, revitalise the rural economy, and enhance overall productivity. This paper enunciates the role of the Chinese government in prospering rural areas by implementing policies that align with the Sustainable Developmental Goals (SDGs)- 1, 2 and 12.

This study employed a comprehensive methodology encompassing both primary and secondary research techniques to procure valuable insights and reviewed various Chinese government policies pertaining to rural revitalisation.

The study results demonstrate that throughout the policy implementation, China has contributed to the livelihoods of the rural communities and achieved SDG-1 (ending poverty) by 2030, ten years ahead of Agenda (2030). The country has also substantially improved its rural agricultural system by integrating modern science and technology and aiming to achieve SDG-2 (ensure food security) with the alignment of SDG-12 (sustainable production and consumption). The findings of this research indicate that despite some limitations in China’s rural revitalisation strategy, overall progress is seen in many aspects, particularly in achieving SDG-1, 2, and 12.

The Chinese government has made significant efforts to promote ecological, social, and economic development in rural areas through various national initiatives such as the “New Countryside” and “Rural Revitalisation” strategies. These initiatives have successfully alleviated poverty, increased food production, and ensured sustainable production and consumption. The discoveries presented within this article possess immense value, as they provide profound insights for policymakers, rural planners, and researchers who are fervently searching for viable solutions to tackle the intricate interplay between rural development and sustainability. Therefore, this study has the potential to greatly benefit policymakers from various nations, as they can adopt China’s rural revitalisation model as a means to successfully achieve SDGs 1, 2, and 12.

This study found that despite numerous initiatives to improve rural landscapes, China’s rural revitalisation approach still poses concerns as local governments are likely to focus on increasing income capacity rather than concentrating on establishing environmental governance.

This study examines the direct and indirect effects of green intellectual capital (GIC) and innovative work behavior (IWB) on green process innovation performance (GPIP), with green knowledge sharing (GKS) as a mediator, in Pakistan’s hospitality industry. The aim is to provide a paradigm for assisting companies in transforming strategic green processes of green hotel innovation and its practices.

A total of 203 questionnaires were administered to front-desk officers of 15 hotels in Pakistan. Smart PLS-SEM 4 was used for analysis, and demographic statistics were analyzed using SPSS 21.0.

GIC (green human capital, green organizational capital and green relational capital) and IWB significantly and positively influence GPIP. GKS strengthens the relationships of GIC and IWB with GPIP. Finally, all hypotheses were significant and the constructs showed a positive association.

Research studies have revealed the impact of GIC on the hotel industry’s competitive advantage. However, the mechanisms underlying those impacts remain relatively underexplored. This study makes valuable contributions by providing crucial evidence from Pakistan’s hospitality industry.

This study explores the configurations of management control systems (MCSs) while taking into account entrepreneurial cognition styles (ECSs) in small and medium enterprises (SMEs). The objective is to understand the impact of ECS on deployment and identify the various modes of MCS configurations employed by SMEs. The authors draw on and synthesise two theoretical perspectives relating to cognition and management control packages to understand the associations between ECS and MCS employed by SMEs in managing their business. This study was conducted using a quantitative approach that utilises a questionnaire survey to collect cross-sectional data from 150 SMEs. The authors uncovered three cognitive styles: knowing (e.g. preciseness), planning (e.g. organising), and creativity (e.g. innovativeness). Furthermore, five configurations of MCS utilised by SMEs were identified: customer focus, performance monitoring, administrative focus, strategic focus, and development focus. By combining both analyses, the authors discovered three constellations of significant association between ECS and MCS characterised by Cluster 1’s cohesive integration approach, Cluster 2’s revealing strategic approach, and Cluster 3’s multifaceted exploration. The study is significant because it uncovers the complex relationship between ECS and MCS configurations, highlighting their interdependence within the institutional context. Using a cognitive view, the authors explore how the cognitive styles of entrepreneurs facilitated imprinting institutional context into MCS configurations. These insights enable us to envisage that ECS is not mutually exclusive but forms a continuum that provides more plausible explanations that relax the direct universal relationship between MCS configurations and contextual factors.