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1 – 10 of over 3000Qi Kang, Carlos E. Carpio, Chenggang Wang and Zeng Tang
This research examined the impacts of diversified income from trading caterpillar fungus on pastoral households' livestock production and income. The specific objectives were to…
Abstract
Purpose
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.
Design/methodology/approach
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.
Findings
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.
Research limitations/implications
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.
Originality/value
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.
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Lu Luo, Kang Qi and Hualiang Huang
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…
Abstract
Purpose
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).
Design/methodology/approach
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.
Findings
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.
Research limitations/implications
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).
Practical implications
This study provides a basic theoretical basis for the selection of protective measures and metal coatings for PCB.
Social implications
The social implication of this study is to predict the service life of PCB.
Originality/value
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.
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Sascha Kraus, Hongbo Li, Qi Kang, Paul Westhead and Victor Tiberius
Quantitative bibliometric approaches were used to statistically and objectively explore patterns in the sharing economy literature.
Abstract
Purpose
Quantitative bibliometric approaches were used to statistically and objectively explore patterns in the sharing economy literature.
Design/methodology/approach
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.
Findings
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.
Research limitations/implications
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.
Originality/value
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.
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Caroline O. Ford, Bradley E. Lail and Velina Popova
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…
Abstract
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.
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Adnan Muhammad Shah, Xiangbin Yan, Syed Asad Ali Shah and Mudassar Ali
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…
Abstract
Purpose
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.
Design/methodology/approach
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.
Findings
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.
Originality/value
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.
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Lu-Ming Tseng, Yue-Min Kang and Chi-Erh Chung
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…
Abstract
Purpose
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.
Design/methodology/approach
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.
Findings
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.
Originality/value
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.
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Reviews the latest management developments across the globe and pinpoints practical implications from cutting‐edge research and case studies.
Abstract
Purpose
Reviews the latest management developments across the globe and pinpoints practical implications from cutting‐edge research and case studies.
Design/methodology/approach
This briefing is prepared by an independent writer who adds their own impartial comments and places the articles in context.
Findings
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.
Practical implications
Provides strategic insights and practical thinking that have influenced some of the world's leading organizations.
Originality/value
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.
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Xiangbin Yan, Yumei Li and Weiguo Fan
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…
Abstract
Purpose
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.
Design/methodology/approach
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.
Findings
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.
Originality/value
The proposed method could be used for preprocessing in text mining and new knowledge discovery from the big data.
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This study aims to (1) validate the efficacy of contractual and relational governance in enhancing operational performance and (2) explore the influence of product complexity on…
Abstract
Purpose
This study aims to (1) validate the efficacy of contractual and relational governance in enhancing operational performance and (2) explore the influence of product complexity on the effectiveness of these governance mechanisms, thereby determining the optimal approach for varying levels of product complexity.
Design/methodology/approach
By utilizing a comprehensive theoretical framework encompassing transaction cost economics, social exchange theory and contingency theory, this research explores the intricate interplay between governance mechanisms, product complexity and operational performance, drawing insights from a dataset comprising 246 responses within Mainland China’s manufacturing sector. To rigorously test the proposed hypotheses, this study employed a hierarchical regression analysis.
Findings
The findings of this study are summarized as follows: (1) while both contractual governance and relational governance have a significant impact on operational performance, relational governance is found to be more effective than contractual governance in enhancing operational performance; and (2) the moderation effect of product complexity is evident, as it weakens the impact of contractual governance while simultaneously enhancing the positive influence of relational governance on operational performance.
Originality/value
The study uncovers a moderation effect of product complexity on the relationship between governance mechanisms and operational performance. This finding adds an original contribution to the literature by highlighting how product complexity can interact with governance strategies, providing practical insights for industries dealing with varying levels of product complexity.
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Purpose: Drawing on research in crime and media studies, this research examines media images and stereotypes of criminals within the popular television crime drama series Bones…
Abstract
Purpose: Drawing on research in crime and media studies, this research examines media images and stereotypes of criminals within the popular television crime drama series Bones. Methodology/approach: All 24 episodes of Season 9 were examined. Through a content analysis offender gender, race, age, offense type, and motive were examined. Findings: This research revealed that most of the images do not reflect the reality of crime and criminals. Gendered and racialized images were revealed. While male minorities’ victimization was more accurately portrayed, White females were cast in the stereotype as the emotional offender and minority females’ criminality was portrayed as similar to male criminals.
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