Xu Wang, Xin Feng and Jingyi Zhao
The online Question and Answer community is full of a large number of science and technology topics, the discussion and dissemination of which play an important role in promoting…
Abstract
Purpose
The online Question and Answer community is full of a large number of science and technology topics, the discussion and dissemination of which play an important role in promoting the popularization of new technologies and cultivating public enthusiasm for science. However, the spread of false information and rumors weakens the community's positive effect, making the community more difficult for people to obtain useful information on such topics. Research on the influencing factors and governance of the spread of false information on science and technology topics has become the key to the spread of popular science.
Design/methodology/approach
Therefore, this paper uses the Elaboration Likelihood Model as the theoretical framework to examine the role of the factors influencing the spread of false information on science and technology topics in Zhihu community on the information persuasion and the impact on public behavior attitude from the core path and the edge path. This paper compiles a crawler program to capture 12,893 response information under the “Metaverse” topic in Zhihu community as an empirical sample and uses text mining and conducts visual correlation analysis to explore the key factors affecting the persuasive transmission path of information on science and technology topics.
Findings
The research finds that the content specialization, content consistency and content coherence of science and technology topics affect personal judgment from the aspect of information content through the core path and have a positive correlation with information persuasion; the number of comments, the length of the text and the publishing authors' influence from the edge image characteristics through the edge path are positively correlated with the information persuasion. Then, from the perspective of topic platform, government and topic participants, this paper puts forward a general plan to improve the information persuasion of science and technology topics so as to deal with false information.
Originality/value
Compared with the small data set of the traditional questionnaire survey, the research based on community empirical big data is more reliable. The model takes into account the attitude and behavior of users and is more suitable for the research on the transmission path of scientific and technological information in the internet era. This research provides a direction for analyzing the text characteristics and development trends of information in the field of science and technology and is conducive to promoting the optimization of the network information environment and building a good ecology, with the spread of rumors about science and technology topics curbed and the governance of false information strengthened.
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The purpose of this paper is to present a method that addresses the data sparsity problem in points of interest (POI) recommendation by introducing spatiotemporal context features…
Abstract
Purpose
The purpose of this paper is to present a method that addresses the data sparsity problem in points of interest (POI) recommendation by introducing spatiotemporal context features based on location-based social network (LBSN) data. The objective is to improve the accuracy and effectiveness of POI recommendations by considering both spatial and temporal aspects.
Design/methodology/approach
To achieve this, the paper introduces a model that integrates the spatiotemporal context of POI records and spatiotemporal transition learning. The model uses graph convolutional embedding to embed spatiotemporal context information into feature vectors. Additionally, a recurrent neural network is used to represent the transitions of spatiotemporal context, effectively capturing the user’s spatiotemporal context and its changing trends. The proposed method combines long-term user preferences modeling with spatiotemporal context modeling to achieve POI recommendations based on a joint representation and transition of spatiotemporal context.
Findings
Experimental results demonstrate that the proposed method outperforms existing methods. By incorporating spatiotemporal context features, the approach addresses the issue of incomplete modeling of spatiotemporal context features in POI recommendations. This leads to improved recommendation accuracy and alleviation of the data sparsity problem.
Practical implications
The research has practical implications for enhancing the recommendation systems used in various location-based applications. By incorporating spatiotemporal context, the proposed method can provide more relevant and personalized recommendations, improving the user experience and satisfaction.
Originality/value
The paper’s contribution lies in the incorporation of spatiotemporal context features into POI records, considering the joint representation and transition of spatiotemporal context. This novel approach fills the gap left by existing methods that typically separate spatial and temporal modeling. The research provides valuable insights into improving the effectiveness of POI recommendation systems by leveraging spatiotemporal information.
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Yi Zhang, Jingyi Zhao and Jian Qin
In the era of the service economy, the personalized needs of customers are increasing rapidly. It often occurs that front-line employees bend organizational rules to help…
Abstract
Purpose
In the era of the service economy, the personalized needs of customers are increasing rapidly. It often occurs that front-line employees bend organizational rules to help customers. The study sought to explore the influence mechanism of servant leadership on specific dimensions of customer-oriented deviance from the manager’s perspective, examine the mediating role of psychological security, and the moderating role of error management climate in the process.
Design/methodology/approach
We conducted an online survey study in China from April 10 to 29, 2023. We use online survey questionnaire technique and random sampling method for data collection. The authors collected 385 questionnaires from China and tested the model by SPSS 26.0 and AMOS 24.0.
Findings
The results show that servant leadership significantly promotes employees' deviant customer-oriented behaviors, psychological security plays a mediating role between servant leadership and deviant customer-oriented behaviors, and error management climate has a positive moderating effect between servant leadership and deviant customer-oriented behaviors.
Originality/value
This study explores the influence mechanism of servant leadership on deviant customer-oriented behaviors. The results of this study not only enrich the theoretical research on the formation mechanism of deviant customer-oriented behaviors but also provide a reference for leaders to correctly view and effectively manage employees' deviant customer-oriented behaviors.
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Lijing Zhao, Shuming Zhao, Hao Zeng and Jingyi Bai
Drawing on identity theory and the symbolic interactionism perspective of identity theory, this study aims to construct a moderated mediation framework to test the effects of…
Abstract
Purpose
Drawing on identity theory and the symbolic interactionism perspective of identity theory, this study aims to construct a moderated mediation framework to test the effects of perceived overqualification (POQ) on knowledge sharing (KS) through professional identity threat (PIT) and the moderating role of coworkers' help-seeking behavior (CHSB).
Design/methodology/approach
This paper uses a quantitative multistudy research design with a combination of a scenario experiment (Study 1) and a two-wave field study among 220 supervisor-subordinate dyads at a power company in China. Using analysis of variance, confirmatory factor analysis (CFA) and bootstrapping method, the authors validated the research hypothesis.
Findings
In the scenario experiment study (study 1), the authors find that POQ is positively related to PIT and that CHSB negatively moderates the positive impact of POQ on PIT. The field study (study 2) replicated the above findings and found that PIT mediates the negative effect of POQ on KS. In addition, CHSB negatively moderates the mediating role of PIT between POQ and KS.
Originality/value
First, the current study extended the nomological network of POQ research by examining its influence on employees' KS. Second, this study empirically investigated the mediating role of PIT, which provided a new explanatory mechanism for the influence of POQ. Finally, this study demonstrates the moderating role of CHSB—a situational factor that has been ignored in previous studies.
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Xinzhi Zhu, Shuo Yang, Jingyi Lin, Yi-Ming Wei and Weigang Zhao
Electricity demand forecasting has always been a key issue, and inaccurate forecasts may mislead policymakers. To accurately predict China’s electricity demand up to 2030, this…
Abstract
Purpose
Electricity demand forecasting has always been a key issue, and inaccurate forecasts may mislead policymakers. To accurately predict China’s electricity demand up to 2030, this paper aims to establish a cross-validation-based linear model selection system, which can consider many factors to avoid missing useful information and select the best model according to estimated out-of-sample forecast performances.
Design/methodology/approach
With the nine identified influencing factors of electricity demand, this system first determines the parameters in four alternative fitting procedures, where for each procedure a lot of cross-validation is performed and the most frequently selected value is determined. Then, through comparing the out-of-sample performances of the traditional multiple linear regression and the four selected alternative fitting procedures, the best model is selected in view of forecast accuracy and stability and used for forecasting under four scenarios. Besides the baseline scenario, this paper investigates lower and higher economic growth and higher consumption share.
Findings
The results show the following: China will consume 7,120.49 TWh, 9,080.38 TWh and 11,649.73 TWh of electricity in 2020, 2025 and 2030, respectively; there is hardly any possibility of decoupling between economic development level and electricity demand; and shifting China from an investment-driven economy to a consumption-driven economy is greatly beneficial to save electricity.
Originality/value
Following insights are obtained: reasonable infrastructure construction plans should be made for increasing electricity demand; increasing electricity demand further challenges China’s greenhouse gas reduction target; and the fact of increasing electricity demand should be taken into account for China’s prompting electrification policies.
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Yuqing Zhao, Xi Zhang, Jingyi Wang, Kaihua Zhang and Patricia Ordóñez de Pablos
The purpose of this paper is to verify the relationship between the features of social media and knowledge sharing, and to examine how ambient awareness mediates this relationship.
Abstract
Purpose
The purpose of this paper is to verify the relationship between the features of social media and knowledge sharing, and to examine how ambient awareness mediates this relationship.
Design/methodology/approach
An experiment is designed to stimulate the knowledge work in a famous Chinese business college and 156 valid samples were obtained. AMOS was used in this paper to examine the theoretical model.
Findings
There is a correlation among features of social media, ambient awareness and knowledge sharing. Surprisingly, network translucence, which indicates individuals’ meta-knowledge of others’ connections, has no influence on knowledge sharing. Although this is inconsistent with conjecture of the existing literature, it can be well explained by the phenomenon in real life, such as privacy setting in social media.
Practical implications
For employees who use social media to promote knowledge sharing within organizations, this study reminds them of the importance of ambient awareness. For managers, this study can give them some suggestions to make employees take full advantage of social media to achieve optimal benefits of knowledge sharing, thus improving organizational performance and innovation. For social media designers, they can make social media more useful in knowledge work by improving its specific features.
Originality/value
This paper proposes that ambient awareness is the mediator of the effect path between communication and knowledge sharing. And the status perception of coworkers’ exchanging information is closely related to knowledge sharing.
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Jingyi Bai, Xinyuan (Roy) Zhao, Tzung-Cheng Huan and Aliana Man Wai Leong
Building on the social capital theory of career success (SCT), this paper aims to explore how and when newcomers’ overqualifications can grant them positions as informal leaders…
Abstract
Purpose
Building on the social capital theory of career success (SCT), this paper aims to explore how and when newcomers’ overqualifications can grant them positions as informal leaders within the workgroup over time.
Design/methodology/approach
The model was tested using a social relations modeling analysis conducted using a three-wave survey with 242 newcomers in Macau.
Findings
The results support the view that relatively qualified newcomers can enjoy social capital advantages in workgroup networks. Newcomers’ desired qualifications can grant them positions as informal leaders through leader–member exchange and advice network centrality. These relationships are moderated by relational dissimilarity, such that the benefits of being relatively overqualified will be weakened when relational dissimilarity is high (vs. low).
Practical implications
When assisting overqualified newcomers in integrating into their teams, practitioners shall be aware of the time and resources that new hires require for adjustment, especially when significant newcomer–veteran relational dissimilarity exists.
Originality/value
The present paper challenges the overtly detrimental outcomes of overqualification by highlighting the positive relational implications of being relatively overqualified.
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This paper aims to investigate the relationship between corporate environmental, social and governance (ESG) ratings and leverage manipulation and the moderating effects of…
Abstract
Purpose
This paper aims to investigate the relationship between corporate environmental, social and governance (ESG) ratings and leverage manipulation and the moderating effects of internal and external supervision.
Design/methodology/approach
The authors draw on a sample of Chinese non-financial A-share-listed firms from 2013 to 2020 to explore the effect of ESG ratings on leverage manipulation. Robustness and endogeneity tests confirm the validity of the regression results.
Findings
ESG ratings inhibit leverage manipulation by improving social reputation, information transparency and financing constraints. This effect is weakened by internal supervision, captured by the ratio of institutional investor ownership, and strengthened by external supervision, captured by the level of marketization. The effect is stronger in non-state-owned firms and firms in non-polluting industries. The governance dimension of ESG exhibits the strongest effect, with comprehensive environmental governance ratings and social governance ratings also suppressing leverage manipulation.
Practical implications
Firms should strive to cultivate environmental awareness, fulfil their social responsibilities and enhance internal governance, which may help to strengthen the firm’s sustainability orientation, mitigate opportunistic behaviours and ultimately contribute to high-quality firm development. The top managers of firms should exercise self-restraint and take the initiative to reduce leverage manipulation by establishing an appropriate governance structure and sustainable business operation system that incorporate environmental and social governance in addition to general governance.
Social implications
Policymakers and regulators should formulate unified guidelines with comprehensive criteria to improve the scope and quality of ESG information disclosure and provide specific guidance on ESG practice for firms. Investors should incorporate ESG ratings into their investment decision framework to lower their portfolio risk.
Originality/value
This study contributes to the literature in four ways. Firstly, to the best of the authors’ knowledge, it is among the first to show that high ESG ratings may mitigate firms’ opportunistic behaviours. Secondly, it identifies the governance factor of leverage manipulation from the perspective of firms’ subjective sustainability orientation. Thirdly, it demonstrates that the relationship between ESG ratings and leverage manipulation varies with the level of internal and external supervision. Finally, it highlights the importance of governance in guaranteeing the other two dimensions’ roles by decomposing overall ESG.
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Vít Hinčica, Hana Řezanková and Jingyi Qi
The aim of the paper is to explore how Chinese consumers perceive the quality of cosmetics products and if the Chinese youth differs in the perception from older generations. The…
Abstract
Purpose
The aim of the paper is to explore how Chinese consumers perceive the quality of cosmetics products and if the Chinese youth differs in the perception from older generations. The paper fills the current research gap in revealing which intrinsic and extrinsic parameters are the most and least associated with cosmetic products’ quality by young and older Chinese consumers. It also inquiries about how other selected factors (e.g. type of store, store’s trade name, the use of influencers, etc.) contribute to the perceived quality of cosmetic products.
Design/methodology/approach
Primary data were collected from 423 Chinese respondents by an online questionnaire in their native language. Statistical tests of independence, correlation and cluster analysis were applied to reveal the relationships between variables.
Findings
The highest number of statistically significant dependencies of meritorious variables was associated with age groups of young and older consumers, thus suggesting greater differences in quality perception between younger and older Chinese generations. The paper also confirms that intrinsic cues prevail over extrinsic when consumers evaluate the quality of cosmetic products.
Practical implications
The results deepen the understanding of the current preferences of Chinese consumers of cosmetic products when assessing the quality of cosmetics and represent a solid basis for further research. Moreover, they may help companies from the cosmetics industry better comprehend how different categories of people determine cosmetic products’ quality.
Originality/value
The paper uses a large convenience sample of respondents from different Chinese regions and points to several differences between younger and older generations of Chinese consumers of cosmetics.
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Sensen Hu, Jingyi Lu, Xinghong Qin and Shahnawaz Talpur
As a potentially disruptive technology, blockchain technology ensures that all the data cannot be merely tampered with once they are recorded on-chain. However, the fake source…
Abstract
Purpose
As a potentially disruptive technology, blockchain technology ensures that all the data cannot be merely tampered with once they are recorded on-chain. However, the fake source information may be input into the blockchain, which is mistaken for truthful data and results in a trust divide between the on-chain and the actual world. One missing perspective from previous studies is information manipulation at the source still exists under the blockchain mode. The authors’ goal was to analyze how blockchain technology affects the information deception of the agricultural product supply chain (APSC) under this premise. Also, the authors further analyzed some factors that influence the effectiveness of blockchain technology.
Design/methodology/approach
The authors build an APSC game model consisting of a farmer and an agricultural product broker, which employs the principal–agent game model to explore the conditions for achieving the mutual trust equilibrium between the two parts. Then, through numerical simulation, the authors further analyze how the quality of on-chain information and the numbers of on-chain firms affect blockchain’s effect on deception in APSC and examine the circumstances in which blockchain technology is more suitable.
Findings
The authors demonstrate that only by meeting the threshold of high-quality on-chain information and having a sufficient number of on-chain firms, can the blockchain-based supply chain initiate a better information ecosystem, which helps eradicate deception in the APSC.
Originality/value
This paper provides valuable insights for participants in supply chains as well as is probably generalizable to other industrial products that require similar services in the early stage of blockchain.