Ronnié Figueiredo, Maria Emilia Camargo, João J. Ferreira, J. Zhang, Yulong Liu
Based on the mixed model unified technology acceptance and utilization theory (UTAUT) and spinner innovation model (SPINNER), a theoretical model is suggested to explain the determinant of behavioral intention to predict innovation in the context of a financial sector firm. A questionnaire was developed to collect primary data, which was subsequently processed through the artificial intelligence technique (deep learning). The constructs (performance expectancy, effort expectancy, social influence, facilitating conditions, behavioral intention, public knowledge, private knowledge, and innovation) supported the model, including mediating hypotheses. It was observed that the mixed methodological approach (SEM and ANN) can help to find the linear and non-linear relationships better, being that the error of the predicted model is 0.104, that is, 10.4% relatively low, which evidences that ANN can be used to predict the dependent variable innovation safely.
基于统一技术接受与利用理论（UTAUT）和斯宾纳创新模型（SPINNER）的混合模型，提出了一个理论模型来解释预测金融行业企业创新的行为意向的决定因素。我们编制了一份问卷来收集原始数据，随后通过人工智能技术（深度学习）对数据进行处理。研究结果表明，该模型的建构（绩效预期、努力预期、社会影响、促进条件、行为意向、公共知识、私人知识和创新）支持包括中介假设在内的模型。据观察，混合方法（SEM 和 ANN）有助于更好地发现线性和非线性关系，因为预测模型的误差为 0.104，即相对较低的 10.4%，这证明 ANN 可用于安全地预测因变量创新。
{"title":"Predicting the Intention to Adopt Innovation in Supply Chain Finance","authors":"Ronnié Figueiredo, Maria Emilia Camargo, João J. Ferreira, J. Zhang, Yulong Liu","doi":"10.4018/joeuc.333689","DOIUrl":"https://doi.org/10.4018/joeuc.333689","url":null,"abstract":"Based on the mixed model unified technology acceptance and utilization theory (UTAUT) and spinner innovation model (SPINNER), a theoretical model is suggested to explain the determinant of behavioral intention to predict innovation in the context of a financial sector firm. A questionnaire was developed to collect primary data, which was subsequently processed through the artificial intelligence technique (deep learning). The constructs (performance expectancy, effort expectancy, social influence, facilitating conditions, behavioral intention, public knowledge, private knowledge, and innovation) supported the model, including mediating hypotheses. It was observed that the mixed methodological approach (SEM and ANN) can help to find the linear and non-linear relationships better, being that the error of the predicted model is 0.104, that is, 10.4% relatively low, which evidences that ANN can be used to predict the dependent variable innovation safely.","PeriodicalId":49029,"journal":{"name":"Journal of Organizational and End User Computing","volume":null,"pages":null},"PeriodicalIF":6.5,"publicationDate":"2023-11-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139270358","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}
Business incubators can provide network connection to incubatees, allowing incubatees to acquire many resources. Gatekeepers can facilitate the acquisition of external knowledge and the dissemination of internal knowledge. From gatekeepers' characteristics, business incubator managers perfectly fit the role of gatekeepers. This paper introduces the gatekeeper role in business incubators to analyze business incubator knowledge performance (BIKP). Multi-agent simulation model is used to form the gatekeeper network, and the business incubator manager acting as the gatekeeper has the function of breadth intervention and depth intervention for the incubatees. The results indicate that moderate competition is necessary for incubatees. Second, the gatekeeper's depth intervention is better than breadth intervention. Third, there is the horizontally S-shaped relationship between the level of effort of the gatekeeper's depth intervention and the BIKP in equilibrium. Moreover, the gatekeeper's interventions are optimal when incubatees have high knowledge inertia and low rates of mutual learning.
企业孵化器可为受孵化企业提供网络连接，使受孵化企业能够获得许多资源。守门人可以促进外部知识的获取和内部知识的传播。从守门人的特点来看，企业孵化器管理者完全符合守门人的角色定位。本文介绍了企业孵化器中的守门人角色，分析了企业孵化器的知识绩效（BIKP）。利用多代理仿真模型形成守门人网络，作为守门人的企业孵化器管理者对在孵企业具有广度干预和深度干预的功能。结果表明，适度竞争对于孵化企业来说是必要的。其次，守门人的深度干预优于广度干预。第三，守门人深度干预的努力程度与均衡时的 BIKP 之间存在水平 S 型关系。此外，当孵化企业具有较高的知识惯性和较低的相互学习率时，守门人的干预是最优的。
{"title":"Gatekeeper Networks, Knowledge Inertia, and Knowledge Performance in Business Incubators","authors":"Wenqing Wu, Minhan Zhai, Jiayue Liu, Xuang Huang","doi":"10.4018/joeuc.333634","DOIUrl":"https://doi.org/10.4018/joeuc.333634","url":null,"abstract":"Business incubators can provide network connection to incubatees, allowing incubatees to acquire many resources. Gatekeepers can facilitate the acquisition of external knowledge and the dissemination of internal knowledge. From gatekeepers' characteristics, business incubator managers perfectly fit the role of gatekeepers. This paper introduces the gatekeeper role in business incubators to analyze business incubator knowledge performance (BIKP). Multi-agent simulation model is used to form the gatekeeper network, and the business incubator manager acting as the gatekeeper has the function of breadth intervention and depth intervention for the incubatees. The results indicate that moderate competition is necessary for incubatees. Second, the gatekeeper's depth intervention is better than breadth intervention. Third, there is the horizontally S-shaped relationship between the level of effort of the gatekeeper's depth intervention and the BIKP in equilibrium. Moreover, the gatekeeper's interventions are optimal when incubatees have high knowledge inertia and low rates of mutual learning.","PeriodicalId":49029,"journal":{"name":"Journal of Organizational and End User Computing","volume":null,"pages":null},"PeriodicalIF":6.5,"publicationDate":"2023-11-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139272034","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}
Online shopping has permeated modern society, and live e-commerce has emerged as a novel consumer shopping activity. However, online shopping inherently creates heightened risk within its extensive data. However, the powerful social nature of on-site e-commerce fosters favorable tendencies toward shopping by giving consumers a sense of control. This study shows that physical and interpersonal social cues from service personnel significantly improve subjective well-being (SWB). Moreover, perceptual control plays a mediating role in this process. Consequently, it is incumbent upon enterprises using live e-commerce platforms to optimize the configuration of social factors within service-oriented settings, bolstering consumers' sense of dominion over their online shopping endeavors and enhancing the efficacy of marketing strategies.
{"title":"The Impact of E-Commerce Live Broadcast on Happiness With Big Data Analysis","authors":"Fengning Ge, Qingsheng Li, Shah Nazir","doi":"10.4018/joeuc.333619","DOIUrl":"https://doi.org/10.4018/joeuc.333619","url":null,"abstract":"Online shopping has permeated modern society, and live e-commerce has emerged as a novel consumer shopping activity. However, online shopping inherently creates heightened risk within its extensive data. However, the powerful social nature of on-site e-commerce fosters favorable tendencies toward shopping by giving consumers a sense of control. This study shows that physical and interpersonal social cues from service personnel significantly improve subjective well-being (SWB). Moreover, perceptual control plays a mediating role in this process. Consequently, it is incumbent upon enterprises using live e-commerce platforms to optimize the configuration of social factors within service-oriented settings, bolstering consumers' sense of dominion over their online shopping endeavors and enhancing the efficacy of marketing strategies.","PeriodicalId":49029,"journal":{"name":"Journal of Organizational and End User Computing","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-11-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135136609","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}
Jinzhou Mao, Yueyang Zhao, Siying Yang, Rita Yi Man Li, Jawad Abbas
With the gradual integration of artificial intelligence and production processes, will the traditional business model of enterprises change? Based on the data of China's manufacturing companies listed in Shanghai and Shenzhen A-shares from 2008 to 2021, we study the impact of enterprise intelligent transformation on customer concentration. Using text mining and machine learning tools, this study measures the degree of enterprise intelligent transformation and constructs an index based on the relevant words in annual reports. A multiphase DID model results show that enterprise intelligent transformation reduces customer concentration. A series of robustness tests and endogeneity tests validate this finding. This study shows that enterprise intelligent transformation improves information disclosure quality, strengthens innovation ability, and expands business boundaries, thus reducing customer concentration. Our findings provide empirical evidence to strengthen enterprise intelligent transformation further and maintain robust supply chain relationships.
{"title":"Intelligent Transformation and Customer Concentration","authors":"Jinzhou Mao, Yueyang Zhao, Siying Yang, Rita Yi Man Li, Jawad Abbas","doi":"10.4018/joeuc.333470","DOIUrl":"https://doi.org/10.4018/joeuc.333470","url":null,"abstract":"With the gradual integration of artificial intelligence and production processes, will the traditional business model of enterprises change? Based on the data of China's manufacturing companies listed in Shanghai and Shenzhen A-shares from 2008 to 2021, we study the impact of enterprise intelligent transformation on customer concentration. Using text mining and machine learning tools, this study measures the degree of enterprise intelligent transformation and constructs an index based on the relevant words in annual reports. A multiphase DID model results show that enterprise intelligent transformation reduces customer concentration. A series of robustness tests and endogeneity tests validate this finding. This study shows that enterprise intelligent transformation improves information disclosure quality, strengthens innovation ability, and expands business boundaries, thus reducing customer concentration. Our findings provide empirical evidence to strengthen enterprise intelligent transformation further and maintain robust supply chain relationships.","PeriodicalId":49029,"journal":{"name":"Journal of Organizational and End User Computing","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-11-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135241004","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}
Enhancing supply chain transparency and risk management is crucial in modern businesses. The supply chain involves multiple stages and participants, including suppliers, manufacturers, and logistics companies. However, supply chain data is often vast and complex, encompassing various types of information. Effectively analyzing and leveraging this data can help businesses identify potential risks and improvement opportunities. Therefore, a powerful method is needed to process supply chain data and provide accurate predictions and decision support. In this article, the authors approach is based on CNN-LSTM and transfer learning. By comparing with traditional methods and baseline models, this CNN-LSTM model achieved significant improvements in supply chain transparency and risk management. This model accurately predicts potential supply chain risks, providing corresponding decision support. This research is of great significance to enhance the efficiency, reliability, and transparency of the supply chain, offering valuable support for business decision-making.
{"title":"Enhancing Supply Chain Transparency and Risk Management Using CNN-LSTM With Transfer Learning","authors":"Yongping Zhang, Achyut Shankar","doi":"10.4018/joeuc.333472","DOIUrl":"https://doi.org/10.4018/joeuc.333472","url":null,"abstract":"Enhancing supply chain transparency and risk management is crucial in modern businesses. The supply chain involves multiple stages and participants, including suppliers, manufacturers, and logistics companies. However, supply chain data is often vast and complex, encompassing various types of information. Effectively analyzing and leveraging this data can help businesses identify potential risks and improvement opportunities. Therefore, a powerful method is needed to process supply chain data and provide accurate predictions and decision support. In this article, the authors approach is based on CNN-LSTM and transfer learning. By comparing with traditional methods and baseline models, this CNN-LSTM model achieved significant improvements in supply chain transparency and risk management. This model accurately predicts potential supply chain risks, providing corresponding decision support. This research is of great significance to enhance the efficiency, reliability, and transparency of the supply chain, offering valuable support for business decision-making.","PeriodicalId":49029,"journal":{"name":"Journal of Organizational and End User Computing","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-11-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135342116","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}
Nowadays, countries in the world have frequent economic exchanges, and the scale of cross-border E-Commerce (CBEC) is getting larger and larger. CBEC refers to trading, payment, logistics, customs clearance, and other transactions. It also refers to the services between countries or regions through Internet technology and e-commerce platforms. In this article, the authors proposed a consumer preference model by blockchain and topic similarity clustering to obtain more consumer preference information. First, this article builds a blockchain-based consumer information collection system for CBEC to extract various features of consumers in CBEC. Secondly, by improving the performance of multiple characteristics of consumers, the accuracy of consumer preference prediction is improved. Finally, a method of consumer preference prediction based on topic similarity clustering is proposed to obtain consumers' purchase preference types. Experimental results show that the method can reach 84.3% of the H-mean, getting the best predictive performance and assisting CBEC by predicting consumer preferences.
{"title":"A Novel Consumer Preference Model Based on Blockchain and Topic Similarity Clustering in Cross-Border E-Commerce","authors":"Pei Zhou, Yibo Zhang, Sinem Akyol","doi":"10.4018/joeuc.333062","DOIUrl":"https://doi.org/10.4018/joeuc.333062","url":null,"abstract":"Nowadays, countries in the world have frequent economic exchanges, and the scale of cross-border E-Commerce (CBEC) is getting larger and larger. CBEC refers to trading, payment, logistics, customs clearance, and other transactions. It also refers to the services between countries or regions through Internet technology and e-commerce platforms. In this article, the authors proposed a consumer preference model by blockchain and topic similarity clustering to obtain more consumer preference information. First, this article builds a blockchain-based consumer information collection system for CBEC to extract various features of consumers in CBEC. Secondly, by improving the performance of multiple characteristics of consumers, the accuracy of consumer preference prediction is improved. Finally, a method of consumer preference prediction based on topic similarity clustering is proposed to obtain consumers' purchase preference types. Experimental results show that the method can reach 84.3% of the H-mean, getting the best predictive performance and assisting CBEC by predicting consumer preferences.","PeriodicalId":49029,"journal":{"name":"Journal of Organizational and End User Computing","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135325993","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}
In recent years, with the increasing homogenization of competition among live commerce streamers, the industry ecology has been deteriorating. As a rising star in the field of livestreaming, knowledge-based streamers have brought a huge impact to traditional ones and achieved great business success. They not only create a new trend of differentiated competition among streamers, but also to some extent promote the transformation and upgrading of live commerce industry. To the authors' best knowledge, no studies in research literature have focused on the practical logic of knowledge-based streamers. Therefore, this research takes knowledge-based streamers of China as the research objects, collects and analyzes relevant news, policies, literature, and interview materials. Through the grounded theory, this research summarizes and refines these practical experiences, explores the practical logic in the process of livestreaming, and establishes a theoretical model.
{"title":"Research on the Practical Logic Model of Knowledge-Based Live Commerce Streamer","authors":"Qi Jing, Yasir Muhammad","doi":"10.4018/joeuc.332862","DOIUrl":"https://doi.org/10.4018/joeuc.332862","url":null,"abstract":"In recent years, with the increasing homogenization of competition among live commerce streamers, the industry ecology has been deteriorating. As a rising star in the field of livestreaming, knowledge-based streamers have brought a huge impact to traditional ones and achieved great business success. They not only create a new trend of differentiated competition among streamers, but also to some extent promote the transformation and upgrading of live commerce industry. To the authors' best knowledge, no studies in research literature have focused on the practical logic of knowledge-based streamers. Therefore, this research takes knowledge-based streamers of China as the research objects, collects and analyzes relevant news, policies, literature, and interview materials. Through the grounded theory, this research summarizes and refines these practical experiences, explores the practical logic in the process of livestreaming, and establishes a theoretical model.","PeriodicalId":49029,"journal":{"name":"Journal of Organizational and End User Computing","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-10-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136235043","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 meticulously examining energy companies' financial performance, incorporating the principles of environmentally sustainable development. The study employs a comprehensive assessment approach that integrates various metrics from different departments of these enterprises. These abstract indicators are primarily quantified using the analytic hierarchy process (AHP), emphasizing incorporating low-carbon indicators, such as research and development (R&D) in renewable energy, into the evaluation framework. Subsequently, the study utilizes the long short-term memory (LSTM) model to evaluate the performance of individual departments within these companies. Ultimately, the study provides an overarching evaluation of the financial performance of energy enterprises. The proposed model demonstrates its effectiveness in practical testing, achieving an evaluation error of just 1.7%. Moreover, the research also scrutinizes the implications of these financial evaluation results for the transition toward a low-carbon paradigm.
{"title":"Optimization of Enterprise Financial Performance Evaluation System Based on AHP and LSTM Against the Background of Carbon Neutrality","authors":"Yuxiting Xie","doi":"10.4018/joeuc.332810","DOIUrl":"https://doi.org/10.4018/joeuc.332810","url":null,"abstract":"This study focuses on meticulously examining energy companies' financial performance, incorporating the principles of environmentally sustainable development. The study employs a comprehensive assessment approach that integrates various metrics from different departments of these enterprises. These abstract indicators are primarily quantified using the analytic hierarchy process (AHP), emphasizing incorporating low-carbon indicators, such as research and development (R&D) in renewable energy, into the evaluation framework. Subsequently, the study utilizes the long short-term memory (LSTM) model to evaluate the performance of individual departments within these companies. Ultimately, the study provides an overarching evaluation of the financial performance of energy enterprises. The proposed model demonstrates its effectiveness in practical testing, achieving an evaluation error of just 1.7%. Moreover, the research also scrutinizes the implications of these financial evaluation results for the transition toward a low-carbon paradigm.","PeriodicalId":49029,"journal":{"name":"Journal of Organizational and End User Computing","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-10-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135168060","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}
Yunchuan Sun, Ying Xu, Xiaoping Zeng, Li Xiao, Qianqian Xia, Yixue Zhao, Xiaohong Wan
Unbalanced development among regions is a prominent feature of the current situation of inclusive finance. Few works have been done on how regional culture affects the imbalance of inclusive financial development. The authors try to investigate this issue using yearly data of digital financial inclusion in China spanning from 2011 to 2020 and the Hofstede regional culture of China. The results reveal regional culture could be the potential driver which leads to regional imbalance of the development of digital financial inclusion in China. Specifically, under Chinese historical culture background, financial inclusion is positively related with indulgence regionally, while individualism or power distance could exert negative impact. The findings are verified by a two-stage least square approach. Due to the anonymity and platform dependence of digital financial, Hofstede culture could make sense by influencing public trust in the financial sector, the internet, and unfamiliar relationships.
{"title":"Regional Culture and Digital Financial Inclusion in China","authors":"Yunchuan Sun, Ying Xu, Xiaoping Zeng, Li Xiao, Qianqian Xia, Yixue Zhao, Xiaohong Wan","doi":"10.4018/joeuc.332245","DOIUrl":"https://doi.org/10.4018/joeuc.332245","url":null,"abstract":"Unbalanced development among regions is a prominent feature of the current situation of inclusive finance. Few works have been done on how regional culture affects the imbalance of inclusive financial development. The authors try to investigate this issue using yearly data of digital financial inclusion in China spanning from 2011 to 2020 and the Hofstede regional culture of China. The results reveal regional culture could be the potential driver which leads to regional imbalance of the development of digital financial inclusion in China. Specifically, under Chinese historical culture background, financial inclusion is positively related with indulgence regionally, while individualism or power distance could exert negative impact. The findings are verified by a two-stage least square approach. Due to the anonymity and platform dependence of digital financial, Hofstede culture could make sense by influencing public trust in the financial sector, the internet, and unfamiliar relationships.","PeriodicalId":49029,"journal":{"name":"Journal of Organizational and End User Computing","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-10-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136113242","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}
Assion Lawson-body, Jeremy Jackson, Verlin Hinsz, Abdou Illia, Laurence Lawson-body
Previous studies have focused on the impact of the theory of reasoned action (TRA)'s components on the behavioral intention to donate more. However, whether the mediation roles of social media-presence and cybersecurity affect this impact is unclear. This paper extends the TRA with trust, commitment, and loyalty to explore the integration of cybersecurity and social media-presence into the behavioral intention to donate more. Data were collected from 315 donors to nonprofit organizations and analyzed using partial least squared (PLS) methods. The results indicate that social media-presence positively influences the donor commitment towards the behavioral intention to donate more. However, social media-presence does not increase donor trust and loyalty toward the behavioral intention to donate more. Furthermore, cybersecurity increases donor trust and loyalty toward the behavioral intention to donate more. However, cybersecurity does not influence donor commitment toward the behavioral intention to donate more. Theoretical and practical contributions are offered.
{"title":"Cybersecurity and Social Media Networks for Donations","authors":"Assion Lawson-body, Jeremy Jackson, Verlin Hinsz, Abdou Illia, Laurence Lawson-body","doi":"10.4018/joeuc.332062","DOIUrl":"https://doi.org/10.4018/joeuc.332062","url":null,"abstract":"Previous studies have focused on the impact of the theory of reasoned action (TRA)'s components on the behavioral intention to donate more. However, whether the mediation roles of social media-presence and cybersecurity affect this impact is unclear. This paper extends the TRA with trust, commitment, and loyalty to explore the integration of cybersecurity and social media-presence into the behavioral intention to donate more. Data were collected from 315 donors to nonprofit organizations and analyzed using partial least squared (PLS) methods. The results indicate that social media-presence positively influences the donor commitment towards the behavioral intention to donate more. However, social media-presence does not increase donor trust and loyalty toward the behavioral intention to donate more. Furthermore, cybersecurity increases donor trust and loyalty toward the behavioral intention to donate more. However, cybersecurity does not influence donor commitment toward the behavioral intention to donate more. Theoretical and practical contributions are offered.","PeriodicalId":49029,"journal":{"name":"Journal of Organizational and End User Computing","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135918383","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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