The objective of utilizing mmWave/subTHz bands in next-generation wireless communications is to be achieved. Despite this, since reconfigurable intelligent surface (RIS)-assisted systems depend on the transmission channel configuration, the system architecture design, and the methods used to derive channel state information (CSI) on a base station (BS) and RIS, channel estimation continues to be the main problem with these systems. This research proposes an innovative RIS-based and compressed sensing-based channel estimation technique for the internet of vehicles. To obtain the best phase shift matrix, the communication model must first be constructed, and the angle-of-arrival and departure are utilized. Channel estimation is then performed based on the perception matrix. The training overhead and complexity of the channel estimation are reduced by considering the position information of the vehicles in the optimal phase shift matrix. Simulation results show that the proposed algorithm exhibits better channel estimation and low complexity performance compared with existing algorithms.
{"title":"A Low-Complexity Channel Estimation in Internet of Vehicles in Intelligent Transportation Systems for 5G Communication","authors":"Lichao Yan","doi":"10.4018/joeuc.326759","DOIUrl":"https://doi.org/10.4018/joeuc.326759","url":null,"abstract":"The objective of utilizing mmWave/subTHz bands in next-generation wireless communications is to be achieved. Despite this, since reconfigurable intelligent surface (RIS)-assisted systems depend on the transmission channel configuration, the system architecture design, and the methods used to derive channel state information (CSI) on a base station (BS) and RIS, channel estimation continues to be the main problem with these systems. This research proposes an innovative RIS-based and compressed sensing-based channel estimation technique for the internet of vehicles. To obtain the best phase shift matrix, the communication model must first be constructed, and the angle-of-arrival and departure are utilized. Channel estimation is then performed based on the perception matrix. The training overhead and complexity of the channel estimation are reduced by considering the position information of the vehicles in the optimal phase shift matrix. Simulation results show that the proposed algorithm exhibits better channel estimation and low complexity performance compared with existing algorithms.","PeriodicalId":49029,"journal":{"name":"Journal of Organizational and End User Computing","volume":" ","pages":""},"PeriodicalIF":6.5,"publicationDate":"2023-07-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47169930","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}
How to enhance the competitiveness of manufacturing enterprises using innovation is an important topic in theory and practice. Data from the world input-output table and the Chinese industrial enterprise database are used to study the difference in the influence of service transformation and product innovation on enterprise competitiveness. The authors show that (1) both service transformation and product innovation contribute to enhancing enterprise competitiveness, but the former has a better effect, and this conclusion is still valid after replacing variables and controlling for endogeneity, and and (2) the “competitiveness effect” of service transformation and product innovation has strong heterogeneity in urban administrative levels, GVC embedding location, and enterprise ownership. (3) As two different innovation methods, service transformation and product innovation have synergistic and balanced effects.
{"title":"The Path Choice of Manufacturing Enterprises to Enhance Competitiveness: Service Transformation or Product Innovation?","authors":"Xiekui Zhang, Yihan Huang, Yiting Li","doi":"10.4018/joeuc.326932","DOIUrl":"https://doi.org/10.4018/joeuc.326932","url":null,"abstract":"How to enhance the competitiveness of manufacturing enterprises using innovation is an important topic in theory and practice. Data from the world input-output table and the Chinese industrial enterprise database are used to study the difference in the influence of service transformation and product innovation on enterprise competitiveness. The authors show that (1) both service transformation and product innovation contribute to enhancing enterprise competitiveness, but the former has a better effect, and this conclusion is still valid after replacing variables and controlling for endogeneity, and and (2) the “competitiveness effect” of service transformation and product innovation has strong heterogeneity in urban administrative levels, GVC embedding location, and enterprise ownership. (3) As two different innovation methods, service transformation and product innovation have synergistic and balanced effects.","PeriodicalId":49029,"journal":{"name":"Journal of Organizational and End User Computing","volume":"102 1","pages":"1-25"},"PeriodicalIF":6.5,"publicationDate":"2023-07-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80561889","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}
Qi Wang, B. Zong, Yong Lin, Zhuangzhuang Li, Xvbiao Luo
With the development of digitalization and Internet technology, enterprise information security is facing more and more challenges. Many enterprises have begun to adopt big data (BD) and artificial intelligence (AI) technology for risk assessment (RA) and prediction to effectively manage information security risks. This article discusses the application of BD and AI technology in enterprise information security management (ISM) and RA from two aspects. Firstly, the mobile payment signature scheme based on number theory research unit is used to improve the security of the mobile payment system. This scheme uses lattice algorithms to achieve fast key generation, signing, and verification and can resist traditional cryptographic attacks. Secondly, a set of enterprise ISM and RA system is established, including risk identification, RA, monitoring and early warning, emergency response, and other links. BD and AI technology is used to analyze internal and external data to provide accurate RA results to achieve automated RA.
{"title":"The Application of Big Data and Artificial Intelligence Technology in Enterprise Information Security Management and Risk Assessment","authors":"Qi Wang, B. Zong, Yong Lin, Zhuangzhuang Li, Xvbiao Luo","doi":"10.4018/joeuc.326934","DOIUrl":"https://doi.org/10.4018/joeuc.326934","url":null,"abstract":"With the development of digitalization and Internet technology, enterprise information security is facing more and more challenges. Many enterprises have begun to adopt big data (BD) and artificial intelligence (AI) technology for risk assessment (RA) and prediction to effectively manage information security risks. This article discusses the application of BD and AI technology in enterprise information security management (ISM) and RA from two aspects. Firstly, the mobile payment signature scheme based on number theory research unit is used to improve the security of the mobile payment system. This scheme uses lattice algorithms to achieve fast key generation, signing, and verification and can resist traditional cryptographic attacks. Secondly, a set of enterprise ISM and RA system is established, including risk identification, RA, monitoring and early warning, emergency response, and other links. BD and AI technology is used to analyze internal and external data to provide accurate RA results to achieve automated RA.","PeriodicalId":49029,"journal":{"name":"Journal of Organizational and End User Computing","volume":"1 1","pages":""},"PeriodicalIF":6.5,"publicationDate":"2023-07-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41406398","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 promotion of innovation is a crucial leadership function. However, empirical evidence on the role of paradoxical leadership in innovation is scarce. Based on paradox theory, this study presents an effective model to investigate the relationship between paradoxical leadership and employee exploratory innovation. Based on a survey of 358 employees in China, it was observed that paradoxical leadership promotes knowledge sharing among employees, consequently stimulating exploratory innovation. The study results showed that environmental dynamism plays a negative moderating role in the relationship between employee knowledge sharing and exploratory innovation. This study contributes to theoretical and empirical studies on paradoxical leadership and provides new perspectives for promoting exploratory innovation.
{"title":"How Is Paradoxical Leadership Linked to Exploratory Innovation?","authors":"Xiao Deng, Jiayu Li, Yaying Huang, Linlin Wang","doi":"10.4018/joeuc.326766","DOIUrl":"https://doi.org/10.4018/joeuc.326766","url":null,"abstract":"The promotion of innovation is a crucial leadership function. However, empirical evidence on the role of paradoxical leadership in innovation is scarce. Based on paradox theory, this study presents an effective model to investigate the relationship between paradoxical leadership and employee exploratory innovation. Based on a survey of 358 employees in China, it was observed that paradoxical leadership promotes knowledge sharing among employees, consequently stimulating exploratory innovation. The study results showed that environmental dynamism plays a negative moderating role in the relationship between employee knowledge sharing and exploratory innovation. This study contributes to theoretical and empirical studies on paradoxical leadership and provides new perspectives for promoting exploratory innovation.","PeriodicalId":49029,"journal":{"name":"Journal of Organizational and End User Computing","volume":" ","pages":""},"PeriodicalIF":6.5,"publicationDate":"2023-07-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43127564","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}
Presently, text mining in e-commerce reviews predominantly focus on singular sentiment analysis, yet constraints persist in sentiment score computation, semantic inclination discernment, and lexicon construction. To address these limitations, this study establishes an e-commerce user comment management system based on text mining. It performs part-of-speech tagging and dependency grammar analysis on the historical corpus of e-commerce, unveiling collocations that potentially convey users' emotive predispositions. Subsequently, a dependency grammar rule table is formulated for the extraction of emotional words. The enhanced BiGRU model is employed for bidirectional extraction of textual features, which are subsequently fused with the TextCNN model. Test results evince that the system effectively accomplishes the desired objectives, with positive comments attaining accuracy and recall rates of 93.49% and 96.98%, respectively, thereby mitigating the drawbacks associated with laborious operations and inadequate precision inherent in extant e-commerce comment analysis systems.
{"title":"Design of a User Comment Management System Based on Text Mining","authors":"Abuduaini Abudureheman","doi":"10.4018/joeuc.326611","DOIUrl":"https://doi.org/10.4018/joeuc.326611","url":null,"abstract":"Presently, text mining in e-commerce reviews predominantly focus on singular sentiment analysis, yet constraints persist in sentiment score computation, semantic inclination discernment, and lexicon construction. To address these limitations, this study establishes an e-commerce user comment management system based on text mining. It performs part-of-speech tagging and dependency grammar analysis on the historical corpus of e-commerce, unveiling collocations that potentially convey users' emotive predispositions. Subsequently, a dependency grammar rule table is formulated for the extraction of emotional words. The enhanced BiGRU model is employed for bidirectional extraction of textual features, which are subsequently fused with the TextCNN model. Test results evince that the system effectively accomplishes the desired objectives, with positive comments attaining accuracy and recall rates of 93.49% and 96.98%, respectively, thereby mitigating the drawbacks associated with laborious operations and inadequate precision inherent in extant e-commerce comment analysis systems.","PeriodicalId":49029,"journal":{"name":"Journal of Organizational and End User Computing","volume":" ","pages":""},"PeriodicalIF":6.5,"publicationDate":"2023-07-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44608081","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}
To provide strategies for developing and optimising e-learning technology, this paper conducts research on the e-banking platform based on e-learning technology. Firstly, this paper points out the technical content of the electronic banking platform. Secondly, based on the Unified Theory of Acceptance and Use of Technology (UTAUT) model, empirical analysis is conducted on the influencing factors of user willingness to use electronic banking platforms, including the introduction, construction, hypothesis formulation, selection of indicator variables, and questionnaire design. Finally, the results of empirical analysis are explored. The result shows that: (1) The Cronbach's α values of the sub-scales of the questionnaire designed are all greater than 0.7, and the load of different factors in each dimension of the scale is more significant than 0.5. (2) Perceived risk has the highest average among all influencing factors, with a value of 4.13. (3) AMOS (Analysis of Moment Structure) 21.0 was calculated using a standardized path coefficient similar to the model.
为了给电子学习技术的开发和优化提供策略，本文对基于电子学习技术的电子银行平台进行了研究。本文首先指出了电子银行平台的技术内容。其次，基于UTAUT (Unified Theory of Acceptance and Use of Technology)模型，对用户使用电子银行平台意愿的影响因素进行实证分析，包括引入、构建、假设制定、指标变量选择、问卷设计等。最后，对实证分析结果进行了探讨。结果表明:(1)所设计问卷各子量表的Cronbach’s α值均大于0.7，各维度不同因子的负荷量均大于0.5。(2)感知风险在所有影响因素中平均值最高，为4.13。(3)采用与模型相似的标准化路径系数计算AMOS (Analysis of Moment Structure) 21.0。
{"title":"The UTAUT Model in the Adoption of E-Learning Technology","authors":"J. Qiu","doi":"10.4018/joeuc.326607","DOIUrl":"https://doi.org/10.4018/joeuc.326607","url":null,"abstract":"To provide strategies for developing and optimising e-learning technology, this paper conducts research on the e-banking platform based on e-learning technology. Firstly, this paper points out the technical content of the electronic banking platform. Secondly, based on the Unified Theory of Acceptance and Use of Technology (UTAUT) model, empirical analysis is conducted on the influencing factors of user willingness to use electronic banking platforms, including the introduction, construction, hypothesis formulation, selection of indicator variables, and questionnaire design. Finally, the results of empirical analysis are explored. The result shows that: (1) The Cronbach's α values of the sub-scales of the questionnaire designed are all greater than 0.7, and the load of different factors in each dimension of the scale is more significant than 0.5. (2) Perceived risk has the highest average among all influencing factors, with a value of 4.13. (3) AMOS (Analysis of Moment Structure) 21.0 was calculated using a standardized path coefficient similar to the model.","PeriodicalId":49029,"journal":{"name":"Journal of Organizational and End User Computing","volume":" ","pages":""},"PeriodicalIF":6.5,"publicationDate":"2023-07-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44660443","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}
Si Sun, Xuandong Zhang, Li Dong, Lu Fan, Xiaojing Liu
To enhance the early warning level of financial risks in enterprises, mitigate the financial risks arising from diverse adversities, and drive green technological innovation and sustainable development, this study proposes a financial risk prediction model (MS-BGRU) that amalgamates multi-scale convolution and two-way GRU. Firstly, a multi-scale feature extraction module is devised that assimilates financial information from various scales by leveraging hole convolution with distinct expansion rates. This assimilated information is then fused to obtain richer context information. Secondly, the BGRU network is employed to discern the sequence characteristics and time information of financial indicators. The empirical results showcase that the model proposed in this paper exhibits a high identification accuracy, surging up to 98.03%, which surpasses other benchmark models. The model can accurately prophesize the financial risk of enterprises and offer guidance to management decision-makers in averting financial risk.
{"title":"Research on the Impact of Green Technology Innovation on Enterprise Financial Information Management Based on Compound Neural Network","authors":"Si Sun, Xuandong Zhang, Li Dong, Lu Fan, Xiaojing Liu","doi":"10.4018/joeuc.326519","DOIUrl":"https://doi.org/10.4018/joeuc.326519","url":null,"abstract":"To enhance the early warning level of financial risks in enterprises, mitigate the financial risks arising from diverse adversities, and drive green technological innovation and sustainable development, this study proposes a financial risk prediction model (MS-BGRU) that amalgamates multi-scale convolution and two-way GRU. Firstly, a multi-scale feature extraction module is devised that assimilates financial information from various scales by leveraging hole convolution with distinct expansion rates. This assimilated information is then fused to obtain richer context information. Secondly, the BGRU network is employed to discern the sequence characteristics and time information of financial indicators. The empirical results showcase that the model proposed in this paper exhibits a high identification accuracy, surging up to 98.03%, which surpasses other benchmark models. The model can accurately prophesize the financial risk of enterprises and offer guidance to management decision-makers in averting financial risk.","PeriodicalId":49029,"journal":{"name":"Journal of Organizational and End User Computing","volume":"29 1","pages":"1-13"},"PeriodicalIF":6.5,"publicationDate":"2023-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89163642","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}
Consumers in China highly favor the consumer-to-consumer (C2C) e-commerce model, so it is crucial to understand the relationship between consumers' trust in merchants, perceived benefits, and purchase intentions. This article first elaborates on applying trust, perceived benefits, and purchase intention in China's C2C e-commerce model. Then, corresponding hypotheses are proposed, and the questionnaire is designed. Finally, reliability, validity, correlation, and regression analysis are applied to analyze the sample structure and the relationships between various variables. The experimental results show that the reliability and validity detection values are higher than 0.8 and 0.75, respectively, indicating that the reliability and validity of the questionnaire designed are qualified. In the correlation analysis, the hypothesis proposed is validated through correlation coefficients, and the rationality of the hypothesis is further verified through regression analysis.
{"title":"Trust, Perceived Benefits, and Purchase Intention in C2C E-Commerce: An Empirical Testing in China","authors":"Xingchen Pan, Weijian Xiong, Shengchao Pu, Fanshen Han, Anqi Zhang","doi":"10.4018/joeuc.325508","DOIUrl":"https://doi.org/10.4018/joeuc.325508","url":null,"abstract":"Consumers in China highly favor the consumer-to-consumer (C2C) e-commerce model, so it is crucial to understand the relationship between consumers' trust in merchants, perceived benefits, and purchase intentions. This article first elaborates on applying trust, perceived benefits, and purchase intention in China's C2C e-commerce model. Then, corresponding hypotheses are proposed, and the questionnaire is designed. Finally, reliability, validity, correlation, and regression analysis are applied to analyze the sample structure and the relationships between various variables. The experimental results show that the reliability and validity detection values are higher than 0.8 and 0.75, respectively, indicating that the reliability and validity of the questionnaire designed are qualified. In the correlation analysis, the hypothesis proposed is validated through correlation coefficients, and the rationality of the hypothesis is further verified through regression analysis.","PeriodicalId":49029,"journal":{"name":"Journal of Organizational and End User Computing","volume":"25 1","pages":"1-15"},"PeriodicalIF":6.5,"publicationDate":"2023-07-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89266774","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}
Green hotels have become the inevitable trend of the hotel industry development under the background of sustainable development. The questionnaire of this study was modified from the scale of the literature, and the survey was conducted by means of convenience sampling. The respondents were the consumers who had stayed in hotels in the past two years. A total of 566 questionnaires were distributed, and 491 valid questionnaires were collected. The effective recovery rate was 86.7%. The results show that technology products of different learning types have significant influence on tourists' acceptance, and the technostress has significant differences on the acceptance of type of technology products. However, hotel types have no significant impact on technology learning products and tourist acceptance. This study expects to provide the analysis results for the reference of green hotel industry development in order to improve the practical benefits of hotel technology product investment.
{"title":"A Study on the Influence of Technology Products Introduced Into Green Hotels","authors":"C. Pai, Yunfeng Shang, Long Wang, Yin Zhang","doi":"10.4018/joeuc.325649","DOIUrl":"https://doi.org/10.4018/joeuc.325649","url":null,"abstract":"Green hotels have become the inevitable trend of the hotel industry development under the background of sustainable development. The questionnaire of this study was modified from the scale of the literature, and the survey was conducted by means of convenience sampling. The respondents were the consumers who had stayed in hotels in the past two years. A total of 566 questionnaires were distributed, and 491 valid questionnaires were collected. The effective recovery rate was 86.7%. The results show that technology products of different learning types have significant influence on tourists' acceptance, and the technostress has significant differences on the acceptance of type of technology products. However, hotel types have no significant impact on technology learning products and tourist acceptance. This study expects to provide the analysis results for the reference of green hotel industry development in order to improve the practical benefits of hotel technology product investment.","PeriodicalId":49029,"journal":{"name":"Journal of Organizational and End User Computing","volume":" ","pages":""},"PeriodicalIF":6.5,"publicationDate":"2023-07-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42490631","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}
Yingli Wu, Qingquan Liu, Sheng Zhou, Mingming Zhou, Xin Li
This article takes the WeChat public account of agriculture and rural areas in J Province as the research object to explore the influencing factors of satisfaction of organizational information system (IS) in agricultural sector. Firstly, new media is taken as the background, and the characteristics and communication factors of agricultural informatization are analyzed. Secondly, a user satisfaction questionnaire of the WeChat public account of agriculture and rural areas of J Province is designed based on the satisfaction theory and the success model of IS. Finally, the influencing factors of users' satisfaction with agricultural and rural WeChat public accounts are studied through questionnaire survey. The results show that the correlation coefficients among perceived value (PV), information quality (IQ), perceived usefulness (PU), and platform satisfaction are all positive, and p £ 0.01.
{"title":"The Analysis of Key Success Factors Affecting the Satisfaction of Agricultural Organizational Information Systems","authors":"Yingli Wu, Qingquan Liu, Sheng Zhou, Mingming Zhou, Xin Li","doi":"10.4018/joeuc.325506","DOIUrl":"https://doi.org/10.4018/joeuc.325506","url":null,"abstract":"This article takes the WeChat public account of agriculture and rural areas in J Province as the research object to explore the influencing factors of satisfaction of organizational information system (IS) in agricultural sector. Firstly, new media is taken as the background, and the characteristics and communication factors of agricultural informatization are analyzed. Secondly, a user satisfaction questionnaire of the WeChat public account of agriculture and rural areas of J Province is designed based on the satisfaction theory and the success model of IS. Finally, the influencing factors of users' satisfaction with agricultural and rural WeChat public accounts are studied through questionnaire survey. The results show that the correlation coefficients among perceived value (PV), information quality (IQ), perceived usefulness (PU), and platform satisfaction are all positive, and p £ 0.01.","PeriodicalId":49029,"journal":{"name":"Journal of Organizational and End User Computing","volume":" ","pages":""},"PeriodicalIF":6.5,"publicationDate":"2023-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46996343","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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