Hui Zhang, Fengrui Zhang, Bing Gong, Xuanjian Zhang, Yi Zhu
The aim is to improve small and medium-sized enterprises (SMEs)' core competitiveness and financing attainability using deep learning (DL) under economic globalization. Accordingly, this work constructs a supply chain symbiosis system based on DL, economics, and Stackelberg game theory following a status quo analysis of the financing status of SMEs. Afterward, a structural framework of supply chain financing (SCF) is designed. Further, it verifies the effectiveness of the proposed back propagation neural network (BPNN) credit evaluation model through specific enterprise data. The results show that the proposed internet of things (IoT)-based SCF SMEs-oriented BPNN credit evaluation model reaches a prediction accuracy of 91.4%. It effectively eliminates information asymmetry between banks and various capitals. As a result, banks can guarantee operation funds for the supply chain SMEs and help them minimize project risks by lowering financing leverage and through information transparency.
{"title":"The Optimization of Supply Chain Financing for Bank Green Credit Using Stackelberg Game Theory in Digital Economy Under Internet of Things","authors":"Hui Zhang, Fengrui Zhang, Bing Gong, Xuanjian Zhang, Yi Zhu","doi":"10.4018/joeuc.318474","DOIUrl":"https://doi.org/10.4018/joeuc.318474","url":null,"abstract":"The aim is to improve small and medium-sized enterprises (SMEs)' core competitiveness and financing attainability using deep learning (DL) under economic globalization. Accordingly, this work constructs a supply chain symbiosis system based on DL, economics, and Stackelberg game theory following a status quo analysis of the financing status of SMEs. Afterward, a structural framework of supply chain financing (SCF) is designed. Further, it verifies the effectiveness of the proposed back propagation neural network (BPNN) credit evaluation model through specific enterprise data. The results show that the proposed internet of things (IoT)-based SCF SMEs-oriented BPNN credit evaluation model reaches a prediction accuracy of 91.4%. It effectively eliminates information asymmetry between banks and various capitals. As a result, banks can guarantee operation funds for the supply chain SMEs and help them minimize project risks by lowering financing leverage and through information transparency.","PeriodicalId":49029,"journal":{"name":"Journal of Organizational and End User Computing","volume":"2 1","pages":"1-16"},"PeriodicalIF":6.5,"publicationDate":"2023-02-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78514408","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
As market competition intensifies, companies recognize the value of attracting customers to participate in activities and loyalty programs (LPs) that encourage repeat purchases and maintain customer loyalty. Literature on LP design explores the positive impact of program structure and rewards on the acquisition of customers. However, research is lacking on the role of LP information transparency on customer participation intention. This study uses 280 college students in China as the survey object to explore the influence of LP information transparency on willingness to participate in such programs. Using experimental design methods, the authors verify whether the type of merchant and channel customers select affect willingness to participate when customers redeem rewards. This study also explains the internal psychological mechanism of information transparency, merchant and channel types, and customer participation intention from the perspective of perceptual psychological distance in construal level theory (CLT) and the elaboration likelihood model (ELM). Both information visibility and accessibility have a positive impact on customer intention to participate in LPs. When a customer redeems a reward from a LP operator, information visibility has a more positive impact on willingness to participate than redeeming a reward from an alliance partner. Moreover, when a customer redeems a reward from online channels, the positive impact of information accessibility on willingness to participate is greater than redeeming from offline channels. Under the influence of multiple psychological distance effects, the synergistic effect of merchant type and channel type is not significant in the relationship between information transparency and willingness to participate in LPs. This article will provide design strategies and management suggestions for retail managers to attract customers to participate in LPs.
{"title":"Research on the Impact of Loyalty Program Information Transparency on Customer Participation Intention with Digital Information","authors":"Biyan Xiao, Yi-Tsen Liu, Guofeng Piao, Qingli Liu","doi":"10.4018/joeuc.318403","DOIUrl":"https://doi.org/10.4018/joeuc.318403","url":null,"abstract":"As market competition intensifies, companies recognize the value of attracting customers to participate in activities and loyalty programs (LPs) that encourage repeat purchases and maintain customer loyalty. Literature on LP design explores the positive impact of program structure and rewards on the acquisition of customers. However, research is lacking on the role of LP information transparency on customer participation intention. This study uses 280 college students in China as the survey object to explore the influence of LP information transparency on willingness to participate in such programs. Using experimental design methods, the authors verify whether the type of merchant and channel customers select affect willingness to participate when customers redeem rewards. This study also explains the internal psychological mechanism of information transparency, merchant and channel types, and customer participation intention from the perspective of perceptual psychological distance in construal level theory (CLT) and the elaboration likelihood model (ELM). Both information visibility and accessibility have a positive impact on customer intention to participate in LPs. When a customer redeems a reward from a LP operator, information visibility has a more positive impact on willingness to participate than redeeming a reward from an alliance partner. Moreover, when a customer redeems a reward from online channels, the positive impact of information accessibility on willingness to participate is greater than redeeming from offline channels. Under the influence of multiple psychological distance effects, the synergistic effect of merchant type and channel type is not significant in the relationship between information transparency and willingness to participate in LPs. This article will provide design strategies and management suggestions for retail managers to attract customers to participate in LPs.","PeriodicalId":49029,"journal":{"name":"Journal of Organizational and End User Computing","volume":" ","pages":""},"PeriodicalIF":6.5,"publicationDate":"2023-02-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43665005","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
At present, internet celebrity marketing has become a driving force for the growth of mobile e-commerce; however, it has also become more apparent that the credibility and authenticity of the internet celebrity is directly correlated to the success of the marketing model. Therefore, in order to entice consumers into purchasing products, cooperations and internet celebrities must be deemed trustworthy. In addition, there are several factors that influence the trust between internet celebrities and consumers. To highlight these factors, this paper constructed an internet celebrity marketing model from the perspective of trust and takes internet celebrity features, marketing character, and product factor as three constructs. Furthermore, eight independent variables are defined, and the corresponding items are designed. Through a quite large data survey and analysis, they have three findings: all eight independent variables have significant influence on trust, and internet celebrities' popularity, interactivity, and professionalism are the top three important factors.
{"title":"Propaganda Information of Internet Celebrity Influence: Young Adult Purchase Intention by Big Data Analysis","authors":"Fei Meng, Shiqi Jiang, Kmena Moses, Jianliang Wei","doi":"10.4018/joeuc.318128","DOIUrl":"https://doi.org/10.4018/joeuc.318128","url":null,"abstract":"At present, internet celebrity marketing has become a driving force for the growth of mobile e-commerce; however, it has also become more apparent that the credibility and authenticity of the internet celebrity is directly correlated to the success of the marketing model. Therefore, in order to entice consumers into purchasing products, cooperations and internet celebrities must be deemed trustworthy. In addition, there are several factors that influence the trust between internet celebrities and consumers. To highlight these factors, this paper constructed an internet celebrity marketing model from the perspective of trust and takes internet celebrity features, marketing character, and product factor as three constructs. Furthermore, eight independent variables are defined, and the corresponding items are designed. Through a quite large data survey and analysis, they have three findings: all eight independent variables have significant influence on trust, and internet celebrities' popularity, interactivity, and professionalism are the top three important factors.","PeriodicalId":49029,"journal":{"name":"Journal of Organizational and End User Computing","volume":"5 1","pages":"1-18"},"PeriodicalIF":6.5,"publicationDate":"2023-02-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74932689","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Wei Wang, Fengzhang Chen, Zewei Long, Fengwen Chen, F. Tsai
This paper utilizes nonfinancial information disclosure to develop a measure of text-based competition network. Using the data of China's listed firms, the authors adopt the textual analysis method to identify a unique group of competitors for the focal firm and construct the text-based competition network. In the whole network, leading firms receive increasing attention from competitors, and they play a vital role for the dynamic changes in the whole market. Moreover, the interactions between the focal firm and competitors in the text-based competition network are shown by some financial indicators. The characteristics of the text-based competition network have a significant impact on the future performance of the focal firm. Finally, economic links in the competition network are discussed by varying the number of competitors, which shows the impact of various competitors on economic similarities. The text-based competition network shows the relative importance of competitors for the focal firm and explains firms' decision-making from the perspective of dynamic competition.
{"title":"A Text-Based Competition Network: The Perspective of Information Disclosure","authors":"Wei Wang, Fengzhang Chen, Zewei Long, Fengwen Chen, F. Tsai","doi":"10.4018/joeuc.317138","DOIUrl":"https://doi.org/10.4018/joeuc.317138","url":null,"abstract":"This paper utilizes nonfinancial information disclosure to develop a measure of text-based competition network. Using the data of China's listed firms, the authors adopt the textual analysis method to identify a unique group of competitors for the focal firm and construct the text-based competition network. In the whole network, leading firms receive increasing attention from competitors, and they play a vital role for the dynamic changes in the whole market. Moreover, the interactions between the focal firm and competitors in the text-based competition network are shown by some financial indicators. The characteristics of the text-based competition network have a significant impact on the future performance of the focal firm. Finally, economic links in the competition network are discussed by varying the number of competitors, which shows the impact of various competitors on economic similarities. The text-based competition network shows the relative importance of competitors for the focal firm and explains firms' decision-making from the perspective of dynamic competition.","PeriodicalId":49029,"journal":{"name":"Journal of Organizational and End User Computing","volume":"65 1","pages":"1-24"},"PeriodicalIF":6.5,"publicationDate":"2023-02-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81488607","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The E-CLSC (E-closed-loop supply chain) game model dominated by manufacturer is set, and information value about asymmetry fairness concern of E-platform (E-commerce platform) is calculated for manufacturer, recycler, and E-platform. By signaling model under various signal costs, the authors study the condition for E-platform to transmit real information about fairness concern so as to reduce profit loss for all parties in E-CLSC. The authors prove that E-platform has the motivation to disguise or exaggerate fairness concerns in order to obtain more profit, and manufacturers must try to identify the E-platform's real fairness concern to avoid profit loss. Besides, only when different types of E-platforms need significantly different signaling cost, both of them would like to send real fairness-concern signal, and thus manufacturer can effectively identify E-platform's real information about fairness concern so as to improve recycling rate and optimize the whole E-CLSC operation.
建立了以制造商为主导的E-CLSC (e -闭环供应链)博弈模型，计算了制造商、回收商和电子平台三方对e -平台(电子商务平台)不对称公平关注的信息价值。通过不同信号成本下的信号模型，研究了e -平台传递公平关注真实信息的条件，以减少E-CLSC各方的利益损失。论证了电子平台存在掩盖或夸大公平关切的动机，以获得更多的利润，制造商必须努力识别电子平台真正的公平关切，以避免利润损失。此外，只有当不同类型的e -平台需要显著不同的信号成本时，它们才愿意发出真实的公平关注信号，这样制造商才能有效地识别e -平台关于公平关注的真实信息，从而提高回收率，优化整个E-CLSC的运行。
{"title":"The Signaling Mechanism of Fairness Concern in E-CLSC","authors":"Yanhong Qin, Shaojie Wang, Neng Gao, Guirong Liu","doi":"10.4018/joeuc.317102","DOIUrl":"https://doi.org/10.4018/joeuc.317102","url":null,"abstract":"The E-CLSC (E-closed-loop supply chain) game model dominated by manufacturer is set, and information value about asymmetry fairness concern of E-platform (E-commerce platform) is calculated for manufacturer, recycler, and E-platform. By signaling model under various signal costs, the authors study the condition for E-platform to transmit real information about fairness concern so as to reduce profit loss for all parties in E-CLSC. The authors prove that E-platform has the motivation to disguise or exaggerate fairness concerns in order to obtain more profit, and manufacturers must try to identify the E-platform's real fairness concern to avoid profit loss. Besides, only when different types of E-platforms need significantly different signaling cost, both of them would like to send real fairness-concern signal, and thus manufacturer can effectively identify E-platform's real information about fairness concern so as to improve recycling rate and optimize the whole E-CLSC operation.","PeriodicalId":49029,"journal":{"name":"Journal of Organizational and End User Computing","volume":"42 5-7 1","pages":"1-35"},"PeriodicalIF":6.5,"publicationDate":"2023-01-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77723611","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
With the rapid development of modern technology and the economy, the global value chain is also constantly evolving, and the links between various industries are becoming closer. With the continuous optimization of the international situation and the support of Chinese policies, the integrated development of manufacturing and service industries is the general trend. This study proposes to use human-computer interaction to conduct in-depth research and analysis of the development relationship, influencing factors, and evolution direction between manufacturing and service industries in the perspective of deep learning. Firstly, based on the current development status of the two industries, the influencing factors of mutual evolution are summarized, including environment, market, technology, and management. Secondly, the computer is used to construct the evolution models of the two major industries. The simulation verification and evolution feature extraction are carried out.
{"title":"The Integrated Development of the Manufacturing and Service Industries Facing Human-Computer Interaction Based on Deep Learning","authors":"F. Zhou","doi":"10.4018/joeuc.316667","DOIUrl":"https://doi.org/10.4018/joeuc.316667","url":null,"abstract":"With the rapid development of modern technology and the economy, the global value chain is also constantly evolving, and the links between various industries are becoming closer. With the continuous optimization of the international situation and the support of Chinese policies, the integrated development of manufacturing and service industries is the general trend. This study proposes to use human-computer interaction to conduct in-depth research and analysis of the development relationship, influencing factors, and evolution direction between manufacturing and service industries in the perspective of deep learning. Firstly, based on the current development status of the two industries, the influencing factors of mutual evolution are summarized, including environment, market, technology, and management. Secondly, the computer is used to construct the evolution models of the two major industries. The simulation verification and evolution feature extraction are carried out.","PeriodicalId":49029,"journal":{"name":"Journal of Organizational and End User Computing","volume":" ","pages":""},"PeriodicalIF":6.5,"publicationDate":"2023-01-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47665952","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The influence of leaders on employees' innovative behavior is a new problem. Based on the relationship culture and digital technology situation in China, with reference to information processing and other theories, this study constructs a double intermediary model of the impact of e-leadership on employee innovation behavior from the perspective of “self” and “relationship,” and introduces employee power distance as the boundary condition. The results show that psychological capital and affective commitment to leadership play a mediating effect between e-leadership and employee innovation behavior, and employee power distance weakens the positive impact of e-leadership on employee innovation behavior through psychological capital and emotional commitment. The research conclusion of this paper provides theoretical basis and practical enlightenment for enterprise leaders to promote employee innovation behavior by improving their e-leadership level and understanding the relationship between themselves and employees.
{"title":"Research on the Effect of E-Leadership on Employee Innovation Behavior in the Context of \"Self\" and \"Relationship\"","authors":"Min Li, Weihao Xiao","doi":"10.4018/joeuc.317090","DOIUrl":"https://doi.org/10.4018/joeuc.317090","url":null,"abstract":"The influence of leaders on employees' innovative behavior is a new problem. Based on the relationship culture and digital technology situation in China, with reference to information processing and other theories, this study constructs a double intermediary model of the impact of e-leadership on employee innovation behavior from the perspective of “self” and “relationship,” and introduces employee power distance as the boundary condition. The results show that psychological capital and affective commitment to leadership play a mediating effect between e-leadership and employee innovation behavior, and employee power distance weakens the positive impact of e-leadership on employee innovation behavior through psychological capital and emotional commitment. The research conclusion of this paper provides theoretical basis and practical enlightenment for enterprise leaders to promote employee innovation behavior by improving their e-leadership level and understanding the relationship between themselves and employees.","PeriodicalId":49029,"journal":{"name":"Journal of Organizational and End User Computing","volume":"43 1","pages":"1-20"},"PeriodicalIF":6.5,"publicationDate":"2023-01-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80904210","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
This study focuses on the knowledge fusion model of e-government information resources that supports user decision-making information needs, it discusses the user decision-making information needs model, the knowledge fusion service model, and the relationship between them. The inter-layer mapping matching mechanism realizes the ultimate value of knowledge fusion. Therefore, this paper analyses and studies the mapping mechanism between the user information demand model and the knowledge fusion service model. A semantic, similarity-based knowledge fusion service matching method for e-government information resources is proposed to address the problem of lack of semantics in traditional web service matching methods. This method uses the ontology description language OWL-S to map information requirement documents of user decisions and knowledge fusion service function documents into an ontology tree structure. The authors then use this as the basis to calculate the concept similarity and relationship similarity measures, and the service matching based on semantic similarity can be realized.
{"title":"A Semantic Matching Method of E-Government Information Resources Knowledge Fusion Service Driven by User Decisions","authors":"Xinping Huang, Siyuan Zhu, Yue Ren","doi":"10.4018/joeuc.317082","DOIUrl":"https://doi.org/10.4018/joeuc.317082","url":null,"abstract":"This study focuses on the knowledge fusion model of e-government information resources that supports user decision-making information needs, it discusses the user decision-making information needs model, the knowledge fusion service model, and the relationship between them. The inter-layer mapping matching mechanism realizes the ultimate value of knowledge fusion. Therefore, this paper analyses and studies the mapping mechanism between the user information demand model and the knowledge fusion service model. A semantic, similarity-based knowledge fusion service matching method for e-government information resources is proposed to address the problem of lack of semantics in traditional web service matching methods. This method uses the ontology description language OWL-S to map information requirement documents of user decisions and knowledge fusion service function documents into an ontology tree structure. The authors then use this as the basis to calculate the concept similarity and relationship similarity measures, and the service matching based on semantic similarity can be realized.","PeriodicalId":49029,"journal":{"name":"Journal of Organizational and End User Computing","volume":"11 1","pages":"1-17"},"PeriodicalIF":6.5,"publicationDate":"2023-01-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76436201","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The current development of remote monitoring technology (RMT) has become increasingly mature. The key to implementing this technology lies in the user's willingness to use it. In order to study the influencing factors of using RMT in green operation and service-oriented manufacturing enterprises, based on organizational behavior, this exploration discusses the reasons that affect the introduction of new technologies into enterprises from the perspectives of perceived risk, conformity and technology acceptance. Moreover, a series of data is obtained through the questionnaire and the results are obtained by analyzing the data. Suggestions to improve the use of RMT in enterprises are put forward. The results show that technology itself, external environment and organizational characteristics can all affect the decision-making of enterprises on new technology.
{"title":"The Enterprise's Willingness to Use Remote Monitoring Technology Under the Background of Green Operation and Service-Oriented Manufacturing","authors":"Zhe Zhang, Jin Chen","doi":"10.4018/joeuc.316165","DOIUrl":"https://doi.org/10.4018/joeuc.316165","url":null,"abstract":"The current development of remote monitoring technology (RMT) has become increasingly mature. The key to implementing this technology lies in the user's willingness to use it. In order to study the influencing factors of using RMT in green operation and service-oriented manufacturing enterprises, based on organizational behavior, this exploration discusses the reasons that affect the introduction of new technologies into enterprises from the perspectives of perceived risk, conformity and technology acceptance. Moreover, a series of data is obtained through the questionnaire and the results are obtained by analyzing the data. Suggestions to improve the use of RMT in enterprises are put forward. The results show that technology itself, external environment and organizational characteristics can all affect the decision-making of enterprises on new technology.","PeriodicalId":49029,"journal":{"name":"Journal of Organizational and End User Computing","volume":"104 1","pages":"1-14"},"PeriodicalIF":6.5,"publicationDate":"2023-01-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"91215551","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Lianren Wu, Jinjie Li, J. Qi, Nan Shi, Hongmiao Zhu
In the period of public health crisis, effective and efficient transmission of crisis information to the public through social media is an important support for achieving social stability and orderly online public engagement. From the perspective of public value management, this study systematically investigated how local government agencies in China used social media to promote public engagement and raise public sentiment during the COVID-19 crisis. Using data captured from the “Wuhan Release” Sina Weibo account, the authors studied the factors that influence public engagement, including information sources, language styles, and media types. Further, it explores the influence of the interactive effects of public value with information sources, language styles, and media types on public engagement and public sentiment. The results show that the consistency of government response content and public value promotes public engagement and raises public sentiment. This research provides enlightenment and ideas for cognition, understanding and governance of public opinion in practice.
{"title":"How to Promote Public Engagement and Enhance Sentiment Through Government Social Media During the COVID-19 Crisis: A Public Value Management Perspective","authors":"Lianren Wu, Jinjie Li, J. Qi, Nan Shi, Hongmiao Zhu","doi":"10.4018/joeuc.308819","DOIUrl":"https://doi.org/10.4018/joeuc.308819","url":null,"abstract":"In the period of public health crisis, effective and efficient transmission of crisis information to the public through social media is an important support for achieving social stability and orderly online public engagement. From the perspective of public value management, this study systematically investigated how local government agencies in China used social media to promote public engagement and raise public sentiment during the COVID-19 crisis. Using data captured from the “Wuhan Release” Sina Weibo account, the authors studied the factors that influence public engagement, including information sources, language styles, and media types. Further, it explores the influence of the interactive effects of public value with information sources, language styles, and media types on public engagement and public sentiment. The results show that the consistency of government response content and public value promotes public engagement and raises public sentiment. This research provides enlightenment and ideas for cognition, understanding and governance of public opinion in practice.","PeriodicalId":49029,"journal":{"name":"Journal of Organizational and End User Computing","volume":"199 1","pages":"1-24"},"PeriodicalIF":6.5,"publicationDate":"2022-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75981405","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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