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This research examined the impacts of diversified income from trading caterpillar fungus on pastoral households' livestock production and income. The specific objectives were to identify the main factors underlying participation in caterpillar fungus trade and to explore the impacts of a diversified income from trading fungus on livestock production activities and income.

Data were collected from a pastoral household survey (n = 503) in five Tibetan Autonomous Prefectures. The authors employed propensity score matching (PSM) procedures to estimate the effects of participation in trading caterpillar fungus.

Pastoral households participating in caterpillar fungus activities maintain smaller herds, sell fewer animals for profit, slaughter more livestock for family consumption and experience fewer livestock deaths compared to nonparticipants. There is also some evidence that pastoral households participating in caterpillar fungus activities have a higher annual income compared to nonparticipants.

A direct measure of grassland degradation was not included due to the data limitation. The estimated average treatment effects could differ under different observed households' characteristics.

This study fills a gap in the literature on the impacts of diversified income on livestock production activities. The authors provide a new perspective on the controversy over the extraction of caterpillar fungus. This study contributes to exploring the dual role of income diversification in addressing poverty and grassland resource degradation for Tibetan pastoral communities.

The purpose of this paper is to investigate the effects of chloride ion concentration and applied bias voltage on the electrochemical migration (ECM) behavior between Cu and Ag under an NaCl thin electrolyte layer (TEL).

A self-made experimental setup for the ECM behavior between Cu and Ag was designed. An HD video measurement microscopy was used to observe the typical dendrite/corrosion morphology and pH distribution. Short-circuit time (SCT), short-circuit current density and the influence of the galvanic effect between Cu and Ag on their ECM behavior were studied by electrochemical tests. The surface morphology and composition of dendrite were characterized by FESEM/EDS.

The SCT increased with increasing NaCl concentration but decreased with increasing applied bias voltage, and the SCT between Cu and Ag was less than that between Cu and Cu because their galvanic effect accelerated the dissolution and migration of Cu. When NaCl concentration was less than or equal to 6 mmol/L, cedar-like dendrite was formed, whereas no dendrite formed and only precipitation occurred at high chloride ion concentration (100 mmol/L). The composition of the dendrite between Cu and Ag was copper.

The significance of this study is to clarify the ECM failure mechanism of printed circuit board (PCB) with an immersion silver surface finish (PCB-ImAg).

This study provides a basic theoretical basis for the selection of protective measures and metal coatings for PCB.

The social implication of this study is to predict the service life of PCB.

The ECM behavior of dissimilar metals under a TEL was investigated, the influence of the galvanic effect between them on their ECM was discussed, and the SCT increased with increasing NaCl concentration.

Quantitative bibliometric approaches were used to statistically and objectively explore patterns in the sharing economy literature.

Journal (co-)citation analysis, author (co-)citation analysis, institution citation and co-operation analysis, keyword co-occurrence analysis, document (co-)citation analysis and burst detection analysis were conducted based on a bibliometric data set relating to sharing economy publications.

Sharing economy research is multi- and interdisciplinary. Journals focused upon products liability, organizing framework, profile characteristics, diverse economies, consumption system and everyday life themes. Authors focused upon profile characteristics, sharing economy organization, social connections, first principle and diverse economy themes. No institution dominated the research field. Keyword co-occurrence analysis identified organizing framework, tourism industry, consumer behavior, food waste, generous exchange and quality cue as research themes. Document co-citation analysis found research themes relating to the tourism industry, exploring public acceptability, agri-food system, commercial orientation, products liability and social connection. Most cited authors, institutions and documents are reported.

The study did not exclusively focus on publications in top-tier journals. Future studies could run analyses relating to top-tier journals alone, and then run analyses relating to less renowned journals alone. To address the potential fuzzy results concern, reviews could focus on business and/or management research alone. Longitudinal reviews conducted over several points in time are warranted. Future reviews could combine qualitative and quantitative approaches.

We contribute by analyzing information relating to the population of all sharing economy articles. In addition, we contribute by employing several quantitative bibliometric approaches that enable the identification of trends relating to the themes and patterns in the growing literature.

People frequently experience a conflict between immediate pleasure and long-term health when consuming healthy food. This study investigates how anthropomorphizing healthy food influences consumers’ sense of pleasure and their subsequent food preferences.

Using different samples and food items, the authors conducted five online or laboratory studies to provide empirical support for the research hypothesis, rule out potential alternative explanations, and demonstrate boundary conditions.

By conducting five empirical studies involving self-reported and actual eating preferences, this study found that anthropomorphism increases consumer preference for and actual intake of healthy food. Such an anthropomorphism effect is driven by the increased positive affect evoked by anthropomorphism. However, this positive effect is suppressed for consumers who experience low trust in their affective feelings. Additionally, the effect is weakened when consumers readily attribute their affective feelings to a target-irrelevant source.

This study contributes to the literature on healthy consumption, anthropomorphism, and mood, revealing whether and how food anthropomorphism affects consumers. For marketers in the field of healthy food and relevant policymakers, anthropomorphic means can be employed, such as giving products human names, to enhance consumer preference for them. Moreover, anthropomorphizing can help alleviate consumers’ concerns about the relative lack of pleasurable taste in healthy foods and compensate for the lack of hedonic value that consumers may feel, thereby enhancing consumer welfare.

1. Anthropomorphism increases consumer preference for healthy food and actual intake of it.

2. The anthropomorphism effect is driven by the increased positive affect evoked by anthropomorphism, through which affective feelings offer evaluative and decisional informativeness for judgments and decision-making.

3. The positive effect of anthropomorphism is suppressed for consumers who experience low trust in their affective feelings.

4. The anthropomorphism effect is weakened when consumers readily attribute their affective feelings to a target-irrelevant source.

Anthropomorphism increases consumer preference for healthy food and actual intake of it.

The anthropomorphism effect is driven by the increased positive affect evoked by anthropomorphism, through which affective feelings offer evaluative and decisional informativeness for judgments and decision-making.

The positive effect of anthropomorphism is suppressed for consumers who experience low trust in their affective feelings.

The anthropomorphism effect is weakened when consumers readily attribute their affective feelings to a target-irrelevant source.

Earnings management is a common term in the academic community and is likely understood by managers and professional investors, but how the large community of non-professional investors interprets this term is less clear. We examine non-professional investors’ attitudes toward earnings management and their resulting investing behaviors using a 2 × 2 mixed design. We manipulate investor role (prospective vs current) between participants and the method of earnings management within participants. We believe that different investment goals (prevention vs promotion) between current and prospective investors should lead to different investing behaviors. Consistent with our expectations, we find that current investors are more likely to maintain an equity than prospective investors are to invest in the same opportunity. Further, the consistent link between investors’ attitudes and actual investment behavior is only present for prospective investors. The prevention goal drives the current investors to maintain their investment, while the prospective investors remain more objective and focus on a goal of promotion. Importantly, prior research examining investor attitude toward earnings management has failed to link investors’ attitudes with actual investing decisions; our study attempts to fill this void by examining attitudes toward earnings management as well as subsequent investment behavior.

To understand how retail companies are using TikTok, a short-form video social media platform, this study investigates the use of relationship cultivation strategies and message appeals in TikTok videos posted by the top 100 retail companies. The study also examines the extent to which these strategies influence public engagement on TikTok.

A quantitative content analysis was conducted to analyze the use of relationship cultivation strategies and message appeals by the top 100 retail companies on TikTok. The study also applied negative binomial regression to assess the impact of these strategies on public engagement.

The findings show that the positivity strategy was the most frequently used relationship cultivation strategy, followed by networking and assurance. The analysis also revealed that about half of the videos employed at least one message appeal. The use of relationship cultivation strategies and message appeals had significant effects on public engagement.

This study is one of the first to examine the role of relationship cultivation strategies and message appeals in enhancing social media engagement for companies on TikTok.

The latest mobile technology may shape consumers' motivations by allowing them to order a variety of foods using smartphone apps. Following the stimulus–organism–response (SOR) framework and using a mixed methods approach, this study investigates the impacts of different components of mobile dining on customers' perceived value, which leads to actual purchase intentions. Furthermore, this study examines the moderating effect of the restaurant type.

Data were collected via an online questionnaire survey from 351 individuals in the city of Jakarta (Indonesia) who actually used mobile apps to order food online. Data analysis was carried out using structural equation modeling.

The findings reveal that source credibility, review valence, the navigation system, food quality and service quality significantly impact customers' perceived value. Customers' perceived value, in turn, positively affects their purchase intentions. The findings also reveal that the impacts of review valence, the navigation system, food quality and service quality on customers' perceived value depend on the different levels of restaurants.

This study is among the first in the mobile commerce research that studies the impacts of mobile electronic word-of-mouth (eWOM), system quality and overall restaurant image on dining choices by considering actual mobile shoppers. Second, this study extends the SOR model to examine the impact of the mobile environment-based characteristics on the perceived value that leads to purchase intentions. Third, the current study examines whether the relationships that are discussed early on differ based on the restaurant type. The findings of this study could help practitioners achieve a deeper understanding of diners' behaviors due to the perceived benefits of mobile dining.

This case study aim to investigate the impacts of insurance agents’ positive attitude toward inappropriate product recommendations on the insurance agents’ intention to make the inappropriate product recommendations. This study further checks how the attitude and intention could be enhanced by the insurer’s manipulation of sales compensations, the agents’ perception of information asymmetry between customers and insurance agents and the insurer’s sales orientation.

Full-time insurance agents from the life insurance industry in Taiwan were surveyed. To test the hypotheses, hierarchical regression analyses were used in the study.

The main results showed that the respondents’ positive attitude toward inappropriate product recommendations was the influential predictor of the respondents’ behavioral intention. Nevertheless, the positive attitude was enhanced by the manipulation of sales compensations and the insurer’s sales orientation.

Very few studies have investigated the relationships among information asymmetry between customers and agents, management’s sales orientation, management’s manipulation of sales compensations and the problems of selling unsuitable insurance products to customers. This study may contribute to the relevant literature by discussing these issues.

Reviews the latest management developments across the globe and pinpoints practical implications from cutting‐edge research and case studies.

This briefing is prepared by an independent writer who adds their own impartial comments and places the articles in context.

For commerical organizations to engage in strategic collaboration with universities is nothing new – especially in the more developed parts of the world – but the focus on desired outcomes has become more intense.

Provides strategic insights and practical thinking that have influenced some of the world's leading organizations.

The briefing saves busy executives and researchers hours of reading time by selecting only the very best, most pertinent information and presenting it in a condensed and easy‐to digest format.

Getting high-quality data by removing the noisy data from the user-generated content (UGC) is the first step toward data mining and effective decision-making based on ubiquitous and unstructured social media data. This paper aims to design a framework for revoking noisy data from UGC.

In this paper, the authors consider a classification-based framework to remove the noise from the unstructured UGC in social media community. They treat the noise as the concerned topic non-relevant messages and apply a text classification-based approach to remove the noise. They introduce a domain lexicon to help identify the concerned topic from noise and compare the performance of several classification algorithms combined with different feature selection methods.

Experimental results based on a Chinese stock forum show that 84.9 per cent of all the noise data from the UGC could be removed with little valuable information loss. The support vector machines classifier combined with information gain feature extraction model is the best choice for this system. With longer messages getting better classification performance, it has been found that the length of messages affects the system performance.

The proposed method could be used for preprocessing in text mining and new knowledge discovery from the big data.