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The objective of this study is to estimate the impacts of access to irrigation on farm income, household income and income diversification.

This study employs an endogenous switching regression (ESR) model to address the selection bias arising from both observed and unobserved factors and analyze cross-sectional data collected from Fujian, Henan and Sichuan provinces in China. The authors use the Simpson index to measure household income diversification. The propensity score matching (PSM) model and control function approach are also used for comparison purpose.

After controlling for the selection bias, the authors find that access to irrigation has a positive and statistically significant impact on rural incomes and diversification. The treatment effects of access to irrigation are to increase farm income, household income and income diversification by around 14, 10 and 107%, respectively. The positive effects of access to irrigation are confirmed by the estimates of the PSM model and control function approach. Further analysis reveals that the irrigation effects on rural incomes and diversification are heterogeneous between small-scale and large-scale farmers and between male-headed and female-headed households.

The authors’ findings suggest that the government should continue to improve irrigation infrastructure construction in rural China to promote smallholder farmers' water access and at the same time facilitate farmers' access to better agronomic and irrigation information. There exist gender and farm size related income and diversification effects of access to irrigation, and the irrigation access is associated with farm location. Thus, when developing regional irrigation programs consideration needs to be taken of whether the rural farming systems are dominated by male/female household heads and land fragmentation/consolidation issues.

Although a large body of literature has investigated the effects of irrigation development in rural areas, little is known about the impact of access to irrigation on income diversification. The selection bias associated with unobserved heterogeneities is usually neglected in previous studies. This study provides the first attempt by examining the impacts of access to irrigation on rural incomes and diversification, using the ESR model to address both observed and unobserved selection bias.

This study aims to solve the problem of repair path planning between multiple small-size defects in the field of additive manufacturing (AM) repair by using Python-based ant colony algorithm (ACO). The optimal parameter combination scheme is obtained by discussing the influencing factors of parameters in the ACO.

The effects of the information heuristic factor α, the expected heuristic factor ß and the pheromone volatile factor ρ on the simulation results were investigated by designing a three-factor and three-level orthogonal experiment. The fast convergence of ACO in finding the optimal solution of multiple small-size defect repair path problem is proved by comparing the simulation results with those of genetic algorithm (GA) on the same data set.

The ACO can effectively solve the repair path planning problem between multiple small-size defects by optimizing the parameters. In the case of 50 defect locations, the simulation results of the ACO with optimized parameters are 159.8 iterations and 3,688 average path lengths, while the GA has 4,027.2 average path lengths under the same data set and the same number of iterations, and by comparison, it is proved that the ACO can find the optimal solution quickly in the small-size defects repair path planning problem, which greatly improves the efficiency of defect repair.

The parameter-optimized ACO can be quickly applied to the planning problem of repair paths between multiple small-size defects in the field of AM repair, which can better improve the defect repair efficiency and reduce the waste of resources.

Recently, short-form video apps, as a new form of social media, have attracted users and rapidly emerged by virtue of their personalized recommendation algorithms, interesting forms of live interaction, and diverse interactive functions, which may lead to excessive use. From the perspective of IT affordances, this study combines the cognitive-affective-behavioral model and perceived values theory to examine the formation mechanism of the excessive use of short-form video apps.

We surveyed a total of 351 users who have used Tiktok, a typical short-form video app, and used their questionnaires to test the research model.

Searching affordance has a positive impact on perceived information value and perceived entertainment value. Furthermore, meta-voicing, recommending, and livestreaming affordance have a positive impact on perceived information value, perceived entertainment value, and perceived social networking value, which also have a positive impact on negative affect anticipation. In addition, negative affect anticipation is significantly positively correlated with excessive use.

In terms of theory, this study introduces the theory of IT affordances and perceived values into the cognitive-affective-behavioral model, to the best of our knowledge, for the first time. Furthermore, it conducts situational research on the formation mechanism of excessive use of short-form video apps and makes up for the lack of studying of excessive use behavior from the perspective of technical factors.

Government social media profiles (GSPs) are increasingly used by government agencies during social crises, and the success of GSPs is highly dependent on netizens’ participation behavior (NPB). Drawing upon the social support theory, the purpose of this paper is to propose a theoretical model to examine the determinants and outcomes of NPB during a social crisis.

To test the research model, a field survey was conducted in the context of Tianjin 2015 explosions in China. The authors adopted a two-step approach to test the models. First, the authors conducted exploratory factor analysis to evaluate the measurement properties of the reflective latent constructs. Then, the authors performed a structural equation analysis to test the hypotheses.

The results show that information support and emotional support are significant determinants of NPB and persona involvement moderates the relationships between them. Additionally, this study reveals that information source preference and increasing enthusiasm for becoming a civil journalist are two critical and significant outcomes of NPB.

There are some limitations in this paper that must be taken into account when interpreting its findings. First, the study is designed on a single profile and concerns a single social crisis. Additionally, future research might consider incorporating factors beyond the individual level, e.g., community social capital (Putnam, 1993). Finally, with the emergence of various IT platforms, such as a government’s own website and online forms, future research can investigate how their characteristics can facilitate other social media platforms’ participation.

This paper offers a number of crucial research implications to the literature of social media in crisis management, thereby contributing to the explanation of NPB on GSPs in the management of social crises. Considering social support as a factor affecting NPB on GSPs, the authors also add personal involvement to the research on the functions of NPB on GSPs and include encouraging civil journalist and making GSPs the principal source of political information.

The research provides participating netizens on GSPs with some suggestions about generating more cost-effective and useful interventions to improve netizen participation levels on GSPs. The findings highlight that governmental social media profiles must focus on continuous development, such as trying best to satisfy the habits of netizens, to motivate netizens to create dependence of information acquisition on the GSPs, called information source preference. On the other hand, the study reminds netizens of the importance of NPB on GSPs during crises and encourages them to act as civil journalist.

First, the study investigated the outcome effect of NPB on GSPs on netizens’ information source preference and civil journalist. Second, this study identifies the determinants of NBPs on GSPs from both the informational and the emotional support perspectives. Third, this study investigates the moderating effects of personal involvement on the relationships between determinants from social support and NPB on GSPs.

Information asymmetry is an inevitable issue in e-commerce and largely hampers the development of online shopping. The purpose of this paper is to propose a model to investigate the emotional content of online customer reviews, which are considered an efficient way to reduce information asymmetry, as a potential signal of product quality. The moderating effects of perceived empathy and cognitive effort are also explored on the basis of signaling theory.

A laboratory experiment with 120 subjects was used to empirically test the proposed research hypotheses. The subjects were randomly assigned to two treatment groups, with 60 subjects in each group. ANOVA, linear regression and binary logistic regression were used.

The emotional content of online customer reviews positively influences perceived product quality, which subsequently and positively affects purchase decisions. The emotional content of online customer reviews greatly influences perceived product quality when perceived empathy or cognitive effort is high.

This study is the first to extend extrinsic cues to emotional content on the basis of signaling theory and reveals the important role of emotional content of reviews. Moreover, the mediating effect of perceived product quality and the moderating effect of perceived empathy and cognitive effort illustrate the mechanism of the influence of emotional content on purchase decision. Findings demonstrate the positive signal of emotional content and provide important practical implications for sellers and customers.

Drawn from the social playfulness literature and the elaboration likelihood model, the purpose of this paper is to propose and test a research model to examine users’ continuous participation in SNS game applications.

A field survey with 133 subjects was conducted to test the research model.

Two identified design features, symbolic physicality and inherent sociability, are found to influence users’ perceived curiosity and perceived enjoyment toward playing SNS game applications. Perceived enjoyment is significantly associated with perceived curiosity and predicts users’ continuous participation of SNS game applications. The authors also observed a gender difference of social playfulness design on perceived curiosity.

Use intention was used as a proxy for actual use behavior, since objective data on continuance behavior was not available. Additionally, the contributions of this study may be constrained by one single sample.

The findings of the study suggest practical guidelines for designing game applications in SNS through socialization design and symbolic physicality. Further, based on the findings of gender differences, a personalization game design strategy is provided.

The study contributes to the post-adoption IS literature and sheds light on the interesting area of social media participation. Additionally, this study enriches the online gaming research by demonstrating gender differences.

Beneficiary photos on charity appeals are believed to engender prosocial behavior. This study explores photo framing of healthy and unhealthy beneficiary photos in the context of photo-rich online medical crowdfunding. Based on framing theory, emphasis framing effect (i.e. unhealthy photos only vs both healthy and unhealthy photos) and equivalency framing effect (i.e. healthy photos prior to unhealthy photos vs unhealthy photos prior to healthy photos) are identified.

A scenario-based experiment with 135 participants was used to empirically test the proposed research hypotheses. The subjects were randomly assigned to three treatment groups, with 45 subjects in each group. ANOVA, linear regression, and multiple mediation analysis were used to analysis data.

The results reveal that disclosing both healthy and unhealthy photos can elicit stronger sympathy and perceived need than merely disclosing unhealthy photos. Moreover, the order of unhealthy photos prior to healthy photos leads to a higher level of sympathy than the order of healthy photos prior to unhealthy photos. Furthermore, sympathy and perceived need are positively related to donation intention.

First, this study extends the photo-related research limited to certain characteristics of a single photo to the sequence effect of multiple photos. Second, this study contributes to framing theory by introducing photo framing, particularly the equivalence and emphasis framing effect of beneficiary photos. Finally, this study reveals the emotional and cognitive routes through which beneficiary photos stimulate prosocial behavior. It also offers practical guidance in the aspects of the framing effect of beneficiary photos for crowdfunding management.

The online users’ characteristic information can provide decision support for policy-designing and construction of public strategies. Hence, this paper aims to conduct online public opinion mining on the recovery policy stimulating the economies stroked by COVID-19 epidemic. Also, sentimental analysis is performed to uncover the posters’ emotion towards the target policy.

This paper adopts bidirectional encoder representations from transformers (BERT) as classifier in classification tasks, including misinformation detection, subject analysis and sentimental analysis. Meanwhile, latent Dirichlet allocation method and sentiment formulations are implemented in topic modelling and sentiment analysis.

The experimental results indicate that public opinion is mainly non-negative to the target policy. The positive emotions mainly focus on the benefits that the recovery policy might bring to stimulate economy. On the other hand, some negative opinions concerned about the shortcomings and inconvenience of the target policy.

The authors figured out the key factors focused by the public opinion on the target recovery policy. Also, the authors indicated pros and cons of the recovery policy by analysing the emotion and the corresponding topics of the public opinion on social media. The findings of the paper can be generalized in other countries theoretically to help them design recovery policy against COVID-19.

Information sharing helps improve the efficiency of the supply chain. However, there are some problems in the multi-stage structure supply chain, such as untimely information feedback and distortion. Despite recent progress in ensuring improved collaboration in the past decade or so, the inefficiency status continues to persist. It is also difficult to add value to the supply chain. The information sharing framework and decentralized model designed in this paper are to deal with existing problems.

This paper is based on the theoretical research of supply chain information asymmetry and synergetics. We attempt to introduce blockchain technology into supply chain operation management, reconstruct information sharing architecture and provide a new decentralized mode to promote the collaborative operation of all nodes. The information sharing and decentralization operational model are built, which has changed the hierarchical relationship between upstream and downstream enterprises, regarding customers as the center of the whole system and effectively reducing the bullwhip effect. Finally, we selected the home supply chain as an example design and performed system dynamics simulation on the blockchain-based operation process.

The model of setting up the scene application mode based on blockchain is helpful to realize the goal of supply chain management to reduce cost, improve quality and enhance the overall efficiency of the system.

Based on the blockchain technology, this paper constructed a new supply chain operation mode and used the synergetic theory and the concept of the product–service system to explain the process of value increment in detail.