Since the 21st century, international corporate social responsibility attracts great attention. With the continuous improvement of consumers' maturity, they become more and more sensitive to international corporate social responsibility and have higher requirements for corporate to fulfill social responsibility. Besides, the buying decision is affected by international corporate social responsibility more and more apparently. Hence, the research into the impacts of international corporate social responsibility on consumers' buying behavior is of great significance. In the research, consumer identity was set as intervening variable to investigate how consumer buying behavior was affected by corporate social responsibility. After theoretical model was constructed and research hypothesis was put forward, questionnaire investigation approach was adopted for empirical study. It was demonstrated that the significance values of age, occupation, and education level in each factor were small with great differences.
{"title":"Consumers' Cognitive Dimension of International Corporate Social Responsibility and Its Correlation With Purchasing Tendency","authors":"Na Qi, Yunfan Zhang, Xiao Lin, Shengcheng Chen","doi":"10.4018/joeuc.322768","DOIUrl":"https://doi.org/10.4018/joeuc.322768","url":null,"abstract":"Since the 21st century, international corporate social responsibility attracts great attention. With the continuous improvement of consumers' maturity, they become more and more sensitive to international corporate social responsibility and have higher requirements for corporate to fulfill social responsibility. Besides, the buying decision is affected by international corporate social responsibility more and more apparently. Hence, the research into the impacts of international corporate social responsibility on consumers' buying behavior is of great significance. In the research, consumer identity was set as intervening variable to investigate how consumer buying behavior was affected by corporate social responsibility. After theoretical model was constructed and research hypothesis was put forward, questionnaire investigation approach was adopted for empirical study. It was demonstrated that the significance values of age, occupation, and education level in each factor were small with great differences.","PeriodicalId":49029,"journal":{"name":"Journal of Organizational and End User Computing","volume":" ","pages":""},"PeriodicalIF":6.5,"publicationDate":"2023-05-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46496618","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}
Guanke Wang, Xuan Zhang, Yifan Gao, Austin Lin Yee, Xue Wang
The development of e-commerce has greatly changed the development of social retail formats. Business-to-consumer (B2C) e-commerce model is important. Due to the characteristics of high consumer trust and commodities dominated by electronic products and brand commodities, the income and profits generated are also very considerable. Therefore, the major e-commerce giants have increased the development of B2C formats. Logistics service capability and level have become an important driving force for the development of B2C e-commerce. How to optimize the inventory of B2C e-commerce and realize the organic balance between the economy and service capacity of the whole logistics chain has become a very urgent problem faced by major e-commerce giants. From the perspective of big data, first, the overview of the dataset used is analyzed based on the real operation data of a business to consumer (B2C) e-commerce platform.
{"title":"The Use of an Internet of Things Data Management System Using Data Mining Association Algorithm in an E-Commerce Platform","authors":"Guanke Wang, Xuan Zhang, Yifan Gao, Austin Lin Yee, Xue Wang","doi":"10.4018/joeuc.322553","DOIUrl":"https://doi.org/10.4018/joeuc.322553","url":null,"abstract":"The development of e-commerce has greatly changed the development of social retail formats. Business-to-consumer (B2C) e-commerce model is important. Due to the characteristics of high consumer trust and commodities dominated by electronic products and brand commodities, the income and profits generated are also very considerable. Therefore, the major e-commerce giants have increased the development of B2C formats. Logistics service capability and level have become an important driving force for the development of B2C e-commerce. How to optimize the inventory of B2C e-commerce and realize the organic balance between the economy and service capacity of the whole logistics chain has become a very urgent problem faced by major e-commerce giants. From the perspective of big data, first, the overview of the dataset used is analyzed based on the real operation data of a business to consumer (B2C) e-commerce platform.","PeriodicalId":49029,"journal":{"name":"Journal of Organizational and End User Computing","volume":"8 1","pages":"1-19"},"PeriodicalIF":6.5,"publicationDate":"2023-05-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72954763","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}
Shagufta Zada, J. Khan, M. Zada, Imran Saeed, Zhan Jun
Grounding on social learning theory, this study investigates the link between servant leadership, employee creativity, and work role performance. To examine the proposed model, the authors collected data from 289 nurses and doctors through a multi-wave (i.e., a time-lag) survey. In this study, servant leadership positively affects employee creativity and work role performance, and knowledge sharing partially mediates the relationship between servant leadership, employee creativity, and work role performance. The results show that self-efficacy directly moderates the positive relationship between servant leadership and knowledge sharing, and indirectly affects the link between servant leadership, employee creativity, and work role performance via knowledge sharing.
{"title":"Does Servant Leadership Enhance Employee Creativity and Performance?","authors":"Shagufta Zada, J. Khan, M. Zada, Imran Saeed, Zhan Jun","doi":"10.4018/joeuc.321656","DOIUrl":"https://doi.org/10.4018/joeuc.321656","url":null,"abstract":"Grounding on social learning theory, this study investigates the link between servant leadership, employee creativity, and work role performance. To examine the proposed model, the authors collected data from 289 nurses and doctors through a multi-wave (i.e., a time-lag) survey. In this study, servant leadership positively affects employee creativity and work role performance, and knowledge sharing partially mediates the relationship between servant leadership, employee creativity, and work role performance. The results show that self-efficacy directly moderates the positive relationship between servant leadership and knowledge sharing, and indirectly affects the link between servant leadership, employee creativity, and work role performance via knowledge sharing.","PeriodicalId":49029,"journal":{"name":"Journal of Organizational and End User Computing","volume":" ","pages":""},"PeriodicalIF":6.5,"publicationDate":"2023-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42558398","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}
Liang Zhou, Sadhna Chaudhary, M. K. Sharma, Arvind Dhaka, Amita Nandal
This article, in order to address impreciseness, initiated the notion of dual hesitant fermatean fuzzy sets (DHFFSs), as a generalization of the combination of dual hesitant fuzzy set (DHFS), dual hesitant Pythagorean fuzzy set (DHPFS) and Fermatean fuzzy set (FFS). The authors defined the fundamental set of operations for DHFFS. Additionally, the authors have also proposed two ranking functions and an accuracy function for the ordering of this novel set. In order to facilitate the pragmatic implementation of DHFFS in optimization, the authors formulated three types of transportation problem with dual hesitant Fermatean fuzzy (DHFF) parameters. To optimize the DHFF-TP, an algorithm was proposed with the help of one of the proposed ranking functions. Artificial neural network is also applied to the transportation problems in DHFF environment. A numerical example based on the transportation of COVID-19 vaccine with DHFF cost has also been carried out to validate out to validate our technique.
{"title":"Artificial Neural Network Dual Hesitant Fermatean Fuzzy Implementation in Transportation of COVID-19 Vaccine","authors":"Liang Zhou, Sadhna Chaudhary, M. K. Sharma, Arvind Dhaka, Amita Nandal","doi":"10.4018/joeuc.321169","DOIUrl":"https://doi.org/10.4018/joeuc.321169","url":null,"abstract":"This article, in order to address impreciseness, initiated the notion of dual hesitant fermatean fuzzy sets (DHFFSs), as a generalization of the combination of dual hesitant fuzzy set (DHFS), dual hesitant Pythagorean fuzzy set (DHPFS) and Fermatean fuzzy set (FFS). The authors defined the fundamental set of operations for DHFFS. Additionally, the authors have also proposed two ranking functions and an accuracy function for the ordering of this novel set. In order to facilitate the pragmatic implementation of DHFFS in optimization, the authors formulated three types of transportation problem with dual hesitant Fermatean fuzzy (DHFF) parameters. To optimize the DHFF-TP, an algorithm was proposed with the help of one of the proposed ranking functions. Artificial neural network is also applied to the transportation problems in DHFF environment. A numerical example based on the transportation of COVID-19 vaccine with DHFF cost has also been carried out to validate out to validate our technique.","PeriodicalId":49029,"journal":{"name":"Journal of Organizational and End User Computing","volume":" ","pages":""},"PeriodicalIF":6.5,"publicationDate":"2023-04-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46892427","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}
Xiaoxue Fan, Shulang Zhao, Xuan Zhang, Lingchai Meng
In order to improve the management mode of the human resources system and enhance the work efficiency of employees, this paper uses artificial intelligence (AI) technology to enhance the psychological empowerment of employees. It affects employees' work performance from a psychological perspective with the help of psychological empowerment. The questionnaire survey method collects data on the influencing factors of employees' psychological empowerment. The statistical data are analyzed by regression. Back propagation neural network (BPNN) algorithm based on deep learning is used to establish the work condition evaluation model. The job satisfaction, pressure, and performance of employees based on psychological empowerment are analyzed.
{"title":"The Impact of Improving Employee Psychological Empowerment and Job Performance Based on Deep Learning and Artificial Intelligence","authors":"Xiaoxue Fan, Shulang Zhao, Xuan Zhang, Lingchai Meng","doi":"10.4018/joeuc.321639","DOIUrl":"https://doi.org/10.4018/joeuc.321639","url":null,"abstract":"In order to improve the management mode of the human resources system and enhance the work efficiency of employees, this paper uses artificial intelligence (AI) technology to enhance the psychological empowerment of employees. It affects employees' work performance from a psychological perspective with the help of psychological empowerment. The questionnaire survey method collects data on the influencing factors of employees' psychological empowerment. The statistical data are analyzed by regression. Back propagation neural network (BPNN) algorithm based on deep learning is used to establish the work condition evaluation model. The job satisfaction, pressure, and performance of employees based on psychological empowerment are analyzed.","PeriodicalId":49029,"journal":{"name":"Journal of Organizational and End User Computing","volume":"61 1","pages":"1-14"},"PeriodicalIF":6.5,"publicationDate":"2023-04-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72530260","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 the stock market becomes increasingly diverse and complex, an accurate and feasible prediction of stock index has become an urgent demand for stock investors. As an important driver of changes in the stock market, financial discourse can guide investors' emotions, thus affecting the trading of stocks and the development of the stock market. Therefore, the prediction of stock index from the perspective of financial discourse emotion has gradually become a hotspot of research. Through the analysis of the existing literature, it is found that the models used in the current relevant research are not ideal, the prediction is not accurate, and there are problems such as single method, few selection indicators, narrow analysis area, etc. To solve the above problems, this study proposes an LSTM model integrating multiple feature emotional indexes, constructs the TextCNN emotional index and the metaphorical power index to quantitatively analyze the emotional expression and semantic use of news text, and then integrates the indexes into the LSTM neural network model to predict the Shanghai Stock Exchange Index.
{"title":"Language Expression and Economic Value: An Empirical Study on Stock Index Prediction Based on Multi-Feature Emotional Analysis of Financial Discourse","authors":"Geyang Hu, Yifang Liu","doi":"10.4018/joeuc.321538","DOIUrl":"https://doi.org/10.4018/joeuc.321538","url":null,"abstract":"As the stock market becomes increasingly diverse and complex, an accurate and feasible prediction of stock index has become an urgent demand for stock investors. As an important driver of changes in the stock market, financial discourse can guide investors' emotions, thus affecting the trading of stocks and the development of the stock market. Therefore, the prediction of stock index from the perspective of financial discourse emotion has gradually become a hotspot of research. Through the analysis of the existing literature, it is found that the models used in the current relevant research are not ideal, the prediction is not accurate, and there are problems such as single method, few selection indicators, narrow analysis area, etc. To solve the above problems, this study proposes an LSTM model integrating multiple feature emotional indexes, constructs the TextCNN emotional index and the metaphorical power index to quantitatively analyze the emotional expression and semantic use of news text, and then integrates the indexes into the LSTM neural network model to predict the Shanghai Stock Exchange Index.","PeriodicalId":49029,"journal":{"name":"Journal of Organizational and End User Computing","volume":"12 1","pages":"1-15"},"PeriodicalIF":6.5,"publicationDate":"2023-04-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88592049","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 purpose is to further analyze the influence of AI technology on the psychology of employees in the computer industry and truly solve the problems encountered in enterprise management, such as difficult organizational relationship and lack of staff morale. With artificial intelligence algorithm as the research object, AI-based employee psychology and performance analysis model is built based on artificial neural network (ANN) from four aspects of work performance, psychological empowerment, work engagement, and perceived dynamic work environment. MATLAB tool is used, employee psychological empowerment index is taken as an input variable, and employee performance index is taken as output index. The validity of the models proposed in different studies is further verified through different test methods. The results show that artificial intelligence technology can positively affect employees' performance by improving their psychological empowerment, and the improvement of work performance is directly related to psychological empowerment.
{"title":"The Use of the Analytic Hierarchy Process in Improving Psychological Empowerment and Employee Performance","authors":"Qianying Gao, Jing Xu, Qi Wang, Cisheng Wu","doi":"10.4018/joeuc.321171","DOIUrl":"https://doi.org/10.4018/joeuc.321171","url":null,"abstract":"The purpose is to further analyze the influence of AI technology on the psychology of employees in the computer industry and truly solve the problems encountered in enterprise management, such as difficult organizational relationship and lack of staff morale. With artificial intelligence algorithm as the research object, AI-based employee psychology and performance analysis model is built based on artificial neural network (ANN) from four aspects of work performance, psychological empowerment, work engagement, and perceived dynamic work environment. MATLAB tool is used, employee psychological empowerment index is taken as an input variable, and employee performance index is taken as output index. The validity of the models proposed in different studies is further verified through different test methods. The results show that artificial intelligence technology can positively affect employees' performance by improving their psychological empowerment, and the improvement of work performance is directly related to psychological empowerment.","PeriodicalId":49029,"journal":{"name":"Journal of Organizational and End User Computing","volume":"11 1","pages":"1-22"},"PeriodicalIF":6.5,"publicationDate":"2023-04-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84381116","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}
Exploring the joint effects factors affecting high-technology industries' performance is crucial to enhancing the country's overall strength. However, maintaining high industry performance levels has always been a complex issue. The literature mainly focuses on the net effects of single factors. In that case, the authors put forward a configurational framework that is the performance of high-tech industries, and does not depend on a single condition. Based on a fuzzy-set qualitative comparative analysis of high-tech industry performance across Chinese provinces, the authors identify eight conditions affecting industry performance under four latitudes – economic environment, scientific research, technological progress, and government support. The results show that high and non-high levels of performance can be achieved through the different configurations of antecedents. Both economic development and science and technology inputs play an irreplaceable role in industrial performance.
{"title":"Analysis of the Configuration and Path of Factors Influencing the Performance of High-Tech Industries","authors":"Wenwan Wei, Xinyu Yang, Wan Chen","doi":"10.4018/joeuc.321113","DOIUrl":"https://doi.org/10.4018/joeuc.321113","url":null,"abstract":"Exploring the joint effects factors affecting high-technology industries' performance is crucial to enhancing the country's overall strength. However, maintaining high industry performance levels has always been a complex issue. The literature mainly focuses on the net effects of single factors. In that case, the authors put forward a configurational framework that is the performance of high-tech industries, and does not depend on a single condition. Based on a fuzzy-set qualitative comparative analysis of high-tech industry performance across Chinese provinces, the authors identify eight conditions affecting industry performance under four latitudes – economic environment, scientific research, technological progress, and government support. The results show that high and non-high levels of performance can be achieved through the different configurations of antecedents. Both economic development and science and technology inputs play an irreplaceable role in industrial performance.","PeriodicalId":49029,"journal":{"name":"Journal of Organizational and End User Computing","volume":"11 1","pages":"1-21"},"PeriodicalIF":6.5,"publicationDate":"2023-04-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86962256","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}
Tianyu Fan, J. Khan, Osama Khassawneh, Tamara Mohammad
From the perspective of social exchange and the conservation of resources theories, the current study investigated the effect of toxic leadership on employee cyberloafing behaviour via the mediating role of emotional exhaustion and the moderating role of organisational commitment. SPSS models 1:moderation, 4: mediation, and 14: moderation mediation of PROCESS Hayes were used to evaluate the data from 357 employees of the Chinese corporate sector. The results show a positive relation between toxic leadership and cyberloafing, and emotional exhaustion mediates this relationship. Further, organisation commitment moderates the indirect, interactive effect of toxic leadership and emotional exhaustion on cyberloafing. The model was tested using 3-wave data; however, since the data were attained from a single source, the problem of common method bias cannot be ruled out. To avoid or lessen instances of cyberloafing behaviour and encourage good working attitudes, organisations must also take action and develop regulations governing internet use in the workplace.
{"title":"Examining Toxic Leadership Nexus With Employee Cyberloafing Behavior via Mediating Role of Emotional Exhaustion","authors":"Tianyu Fan, J. Khan, Osama Khassawneh, Tamara Mohammad","doi":"10.4018/joeuc.320817","DOIUrl":"https://doi.org/10.4018/joeuc.320817","url":null,"abstract":"From the perspective of social exchange and the conservation of resources theories, the current study investigated the effect of toxic leadership on employee cyberloafing behaviour via the mediating role of emotional exhaustion and the moderating role of organisational commitment. SPSS models 1:moderation, 4: mediation, and 14: moderation mediation of PROCESS Hayes were used to evaluate the data from 357 employees of the Chinese corporate sector. The results show a positive relation between toxic leadership and cyberloafing, and emotional exhaustion mediates this relationship. Further, organisation commitment moderates the indirect, interactive effect of toxic leadership and emotional exhaustion on cyberloafing. The model was tested using 3-wave data; however, since the data were attained from a single source, the problem of common method bias cannot be ruled out. To avoid or lessen instances of cyberloafing behaviour and encourage good working attitudes, organisations must also take action and develop regulations governing internet use in the workplace.","PeriodicalId":49029,"journal":{"name":"Journal of Organizational and End User Computing","volume":" ","pages":""},"PeriodicalIF":6.5,"publicationDate":"2023-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48189538","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, society has entered the era of digital finance, and the information management system (IMS) of financial services has been developing rapidly, so the security of data has become particularly important. Firstly, some security techniques in IMS of financial services are introduced. Secondly, this study analyzes how to combine secure muti-party computation with blockchain technology to enhance the security of IMS. Finally, the feasibility and reliability of the scheme are verified by a comparative test. The experimental results reveal that the evaluation index score of the optimized scheme is higher than that of the traditional scheme. Meanwhile, in the comparative experiment of information data encryption, it can be seen that the running time of all schemes will improve with the increase of data. However, the increase rate of the optimized model in this study is much slower than that of the traditional model.
{"title":"Optimization of Digital Information Management of Financial Services Based on Artificial Intelligence in the Digital Financial Environment","authors":"Xin Li, Jianxiang Zhang, Huizhen Long, Yang-Jen Chen, Anqi Zhang","doi":"10.4018/joeuc.318478","DOIUrl":"https://doi.org/10.4018/joeuc.318478","url":null,"abstract":"At present, society has entered the era of digital finance, and the information management system (IMS) of financial services has been developing rapidly, so the security of data has become particularly important. Firstly, some security techniques in IMS of financial services are introduced. Secondly, this study analyzes how to combine secure muti-party computation with blockchain technology to enhance the security of IMS. Finally, the feasibility and reliability of the scheme are verified by a comparative test. The experimental results reveal that the evaluation index score of the optimized scheme is higher than that of the traditional scheme. Meanwhile, in the comparative experiment of information data encryption, it can be seen that the running time of all schemes will improve with the increase of data. However, the increase rate of the optimized model in this study is much slower than that of the traditional model.","PeriodicalId":49029,"journal":{"name":"Journal of Organizational and End User Computing","volume":"4 1","pages":"1-17"},"PeriodicalIF":6.5,"publicationDate":"2023-02-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87056962","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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