Pub Date : 2023-09-15DOI: 10.1080/08874417.2023.2253770
Xiaolin Lin
ABSTRACTConsumers are increasingly relying on consumer-generated information when making purchase decisions; therefore, for consumers to make informed and accurate decisions, the honesty of consumer-generated information is essential. This study aims to provide an understanding about consumers’ honest information sharing in social commerce. Drawing on the dual model of environmental perception, we developed a model of honest information sharing by examining consumers’ perceptions regarding Facebook’s ethics, their trust in social commerce, and social commerce ethicality. Using a survey with 969 participants, our results strongly suggest that the hypotheses were supported. Consumers’ perceptions regarding Facebook’s ethics are positively associated with their trust in social commerce and perceived social commerce ethicality, both of which positively affect honest information sharing. Our study advances both the information sharing and social commerce literature. Practically, our study delivers insights for businesses into how to use social commerce as a strategic tool for supporting consumers’ honest information sharing.KEYWORDS: Social commercedual model of environmental perceptionconsumers’ trustsocial commerce ethicality Disclosure statementNo potential conflict of interest was reported by the author(s).Notesa https://www.amazon.com/gp/help/customer/display.html?nodeId=201929730.b https://www.bbc.com/news/technology-54722362.Additional informationFundingThis study has no funding.
{"title":"Honest Information Sharing in Social Commerce Based on Ethical Perceptions","authors":"Xiaolin Lin","doi":"10.1080/08874417.2023.2253770","DOIUrl":"https://doi.org/10.1080/08874417.2023.2253770","url":null,"abstract":"ABSTRACTConsumers are increasingly relying on consumer-generated information when making purchase decisions; therefore, for consumers to make informed and accurate decisions, the honesty of consumer-generated information is essential. This study aims to provide an understanding about consumers’ honest information sharing in social commerce. Drawing on the dual model of environmental perception, we developed a model of honest information sharing by examining consumers’ perceptions regarding Facebook’s ethics, their trust in social commerce, and social commerce ethicality. Using a survey with 969 participants, our results strongly suggest that the hypotheses were supported. Consumers’ perceptions regarding Facebook’s ethics are positively associated with their trust in social commerce and perceived social commerce ethicality, both of which positively affect honest information sharing. Our study advances both the information sharing and social commerce literature. Practically, our study delivers insights for businesses into how to use social commerce as a strategic tool for supporting consumers’ honest information sharing.KEYWORDS: Social commercedual model of environmental perceptionconsumers’ trustsocial commerce ethicality Disclosure statementNo potential conflict of interest was reported by the author(s).Notesa https://www.amazon.com/gp/help/customer/display.html?nodeId=201929730.b https://www.bbc.com/news/technology-54722362.Additional informationFundingThis study has no funding.","PeriodicalId":54855,"journal":{"name":"Journal of Computer Information Systems","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135395588","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-09-15DOI: 10.1080/08874417.2023.2255557
Sakshi Srivastava, Gaurav Dixit
ABSTRACTDespite the hype and investments, the successful use of analytics demands human-intensive efforts to exploit its full potential. The mixed outcomes of analytics initiatives indicate the need to dive deep into how analytical activities and processes contribute to business value creation. Building on the knowledge-based and dynamic capability views and following the analytics process perspective, we examine managers’ and analysts’ roles in creating value for data-driven decision-making. We conducted Q-sorting, exploratory factor analysis, and partial least squares analysis using data from 159 firms with low to medium-level analytics. As part of our research, we conceptualize and develop two novel multi-dimensional constructs: 1) managerial analytics competency and 2) technical analytics competency and then empirically investigate their impact on decision-making efficiency and effectiveness. Our results reveal the crucial role of managerial analytics competency in driving the technical analytics competency for improved decision-making. Furthermore, our research offers significant contributions to theory and practice.KEYWORDS: Data-driven decision-makinganalyticscompetencyknowledge-based viewconstruct development Disclosure statementNo potential conflict of interest was reported by the author(s).Additional informationFundingThe work was supported by the Sponsored Research & Industrial Consultancy office, Indian Institute of Technology Roorkee [MSD/FIG/100703].
{"title":"Value of Analytics for Decision-Making: Role of Managers and Analysts","authors":"Sakshi Srivastava, Gaurav Dixit","doi":"10.1080/08874417.2023.2255557","DOIUrl":"https://doi.org/10.1080/08874417.2023.2255557","url":null,"abstract":"ABSTRACTDespite the hype and investments, the successful use of analytics demands human-intensive efforts to exploit its full potential. The mixed outcomes of analytics initiatives indicate the need to dive deep into how analytical activities and processes contribute to business value creation. Building on the knowledge-based and dynamic capability views and following the analytics process perspective, we examine managers’ and analysts’ roles in creating value for data-driven decision-making. We conducted Q-sorting, exploratory factor analysis, and partial least squares analysis using data from 159 firms with low to medium-level analytics. As part of our research, we conceptualize and develop two novel multi-dimensional constructs: 1) managerial analytics competency and 2) technical analytics competency and then empirically investigate their impact on decision-making efficiency and effectiveness. Our results reveal the crucial role of managerial analytics competency in driving the technical analytics competency for improved decision-making. Furthermore, our research offers significant contributions to theory and practice.KEYWORDS: Data-driven decision-makinganalyticscompetencyknowledge-based viewconstruct development Disclosure statementNo potential conflict of interest was reported by the author(s).Additional informationFundingThe work was supported by the Sponsored Research & Industrial Consultancy office, Indian Institute of Technology Roorkee [MSD/FIG/100703].","PeriodicalId":54855,"journal":{"name":"Journal of Computer Information Systems","volume":"205 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135395176","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-09-14DOI: 10.1080/08874417.2023.2251417
Guan-Yu Lin, Meng-Xuan Lee, Yi-Shun Wang
ABSTRACTThe study was designed to explore the determinants affecting consumer online repurchase intention in the context of live-streaming social commerce. A live streaming social commerce success model was developed and verified empirically using data gathered from an anonymous online survey completed by 202 individuals with experience participating in live streaming social-commerce events on the Facebook Live platform. Based on the results, online repurchase intention was predicted directly by post-consumption positive electronic word‐of‐mouth (eWOM) and customer satisfaction. Moreover, customer satisfaction and perceived value were found to influence online repurchase intention through post-consumption positive eWOM generation. Finally, product quality, comparative price, and perceived entertainment were found to be the primary factors driving customer satisfaction, while product quality and perceived competitive price were found to be predictors of perceived value.KEYWORDS: E-commerce success modellive streaming social commerceonline repurchase intentionpositive eWOM generation Disclosure statementNo potential conflict of interest was reported by the author(s).Additional informationFundingThe work was supported by the Ministry of Science and Technology, Taiwan [MOST 105-2511-S-018-013-MY3].
{"title":"Developing and Validating a Live Streaming Social Commerce Success Model","authors":"Guan-Yu Lin, Meng-Xuan Lee, Yi-Shun Wang","doi":"10.1080/08874417.2023.2251417","DOIUrl":"https://doi.org/10.1080/08874417.2023.2251417","url":null,"abstract":"ABSTRACTThe study was designed to explore the determinants affecting consumer online repurchase intention in the context of live-streaming social commerce. A live streaming social commerce success model was developed and verified empirically using data gathered from an anonymous online survey completed by 202 individuals with experience participating in live streaming social-commerce events on the Facebook Live platform. Based on the results, online repurchase intention was predicted directly by post-consumption positive electronic word‐of‐mouth (eWOM) and customer satisfaction. Moreover, customer satisfaction and perceived value were found to influence online repurchase intention through post-consumption positive eWOM generation. Finally, product quality, comparative price, and perceived entertainment were found to be the primary factors driving customer satisfaction, while product quality and perceived competitive price were found to be predictors of perceived value.KEYWORDS: E-commerce success modellive streaming social commerceonline repurchase intentionpositive eWOM generation Disclosure statementNo potential conflict of interest was reported by the author(s).Additional informationFundingThe work was supported by the Ministry of Science and Technology, Taiwan [MOST 105-2511-S-018-013-MY3].","PeriodicalId":54855,"journal":{"name":"Journal of Computer Information Systems","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134911409","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-09-14DOI: 10.1080/08874417.2023.2251416
Arum Park, Sae Bom Lee
Chatbots link companies and users, increase conversions, reduce labor costs, and provide answers based on big data. Since COVID-19, demand for non-face-to-face services has increased. Despite expectations, chatbot use is inconsistent and satisfaction is low. This study identifies factors for improving the sustainability of chatbot services by considering artificial intelligence factors (personalization, anthropomorphism, social presence) and systemic factors (responsiveness, compatibility). The confirmatory factor analysis and structural equation model of the measurement model were analyzed using Smart PLS 3.3. Two hypotheses were rejected because the effect on expectation-confirmation was not statistically significant. This study presents implications for future chatbot research and development.
{"title":"Examining AI and Systemic Factors for Improved Chatbot Sustainability","authors":"Arum Park, Sae Bom Lee","doi":"10.1080/08874417.2023.2251416","DOIUrl":"https://doi.org/10.1080/08874417.2023.2251416","url":null,"abstract":"Chatbots link companies and users, increase conversions, reduce labor costs, and provide answers based on big data. Since COVID-19, demand for non-face-to-face services has increased. Despite expectations, chatbot use is inconsistent and satisfaction is low. This study identifies factors for improving the sustainability of chatbot services by considering artificial intelligence factors (personalization, anthropomorphism, social presence) and systemic factors (responsiveness, compatibility). The confirmatory factor analysis and structural equation model of the measurement model were analyzed using Smart PLS 3.3. Two hypotheses were rejected because the effect on expectation-confirmation was not statistically significant. This study presents implications for future chatbot research and development.","PeriodicalId":54855,"journal":{"name":"Journal of Computer Information Systems","volume":"143 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134911278","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-09-11DOI: 10.1080/08874417.2023.2251449
Fulya Acikgoz, Abdelsalam Busalim, James Gaskin, Shahla Asadi
Despite the growing importance of mobile social commerce (ms-commerce), little research has been conducted on the effects of informational and social factors on users’ post-adoption behavior. We, therefore, build on the understanding of mobile social commerce in the UK market and how it affects users’ post-adoption behaviors. Our theoretical model leverages the information adoption model, social support theory, and social influence theory. Data was gathered from 377 ms-commerce users from the UK and analyzed via Partial Least Squares (PLS-SEM). The research findings show that both informational and social factors have a positive impact on information adoption in ms-commerce apps. Furthermore, information adoption has a positive impact on trust, which leads to ms-commerce purchase intention, ms-commerce continuance intention, and willingness to share an ms-commerce experience.
{"title":"An Integrated Model for Information Adoption&Trust in Mobile Social Commerce","authors":"Fulya Acikgoz, Abdelsalam Busalim, James Gaskin, Shahla Asadi","doi":"10.1080/08874417.2023.2251449","DOIUrl":"https://doi.org/10.1080/08874417.2023.2251449","url":null,"abstract":"Despite the growing importance of mobile social commerce (ms-commerce), little research has been conducted on the effects of informational and social factors on users’ post-adoption behavior. We, therefore, build on the understanding of mobile social commerce in the UK market and how it affects users’ post-adoption behaviors. Our theoretical model leverages the information adoption model, social support theory, and social influence theory. Data was gathered from 377 ms-commerce users from the UK and analyzed via Partial Least Squares (PLS-SEM). The research findings show that both informational and social factors have a positive impact on information adoption in ms-commerce apps. Furthermore, information adoption has a positive impact on trust, which leads to ms-commerce purchase intention, ms-commerce continuance intention, and willingness to share an ms-commerce experience.","PeriodicalId":54855,"journal":{"name":"Journal of Computer Information Systems","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135938020","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-09-11DOI: 10.1080/08874417.2023.2251443
Sibanjan Debeeprasad Das, Pradip Kumar Bala, Arindra Nath Mishra
{"title":"Towards Defining a Trustworthy Artificial Intelligence System Development Maturity Model","authors":"Sibanjan Debeeprasad Das, Pradip Kumar Bala, Arindra Nath Mishra","doi":"10.1080/08874417.2023.2251443","DOIUrl":"https://doi.org/10.1080/08874417.2023.2251443","url":null,"abstract":"","PeriodicalId":54855,"journal":{"name":"Journal of Computer Information Systems","volume":"77 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135982373","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-09-11DOI: 10.1080/08874417.2023.2251427
Nan Liang, David P. Biros, Andy Luse
Malicious insiders continue to pose a significant threat to organizations. With their knowledge, privilege, and access to organizational resources, malicious insiders can attack the organization easier than outsiders, bypassing security measures. Current research about malicious insiders’ traits is often based on a limited number of cases and lacking empirical validation. With few exceptions, most research focuses on the effects of individual traits without investigation of their interactions. To identify the effects of these traits and their interactions, this study employs text mining to analyze 133 real-world malicious insider cases by comparing how the media portray malicious insiders to how the media portray benign insiders. This study sheds light on the predictive power of common traits of malicious insiders. Also, the interaction effects of some traits indicate that although they are not significant at the unary level, their co-occurrence differentiates malicious insiders with benign insiders as portrayed in the media.
{"title":"An Empirical Comparison of Malicious Insiders and Benign Insiders","authors":"Nan Liang, David P. Biros, Andy Luse","doi":"10.1080/08874417.2023.2251427","DOIUrl":"https://doi.org/10.1080/08874417.2023.2251427","url":null,"abstract":"Malicious insiders continue to pose a significant threat to organizations. With their knowledge, privilege, and access to organizational resources, malicious insiders can attack the organization easier than outsiders, bypassing security measures. Current research about malicious insiders’ traits is often based on a limited number of cases and lacking empirical validation. With few exceptions, most research focuses on the effects of individual traits without investigation of their interactions. To identify the effects of these traits and their interactions, this study employs text mining to analyze 133 real-world malicious insider cases by comparing how the media portray malicious insiders to how the media portray benign insiders. This study sheds light on the predictive power of common traits of malicious insiders. Also, the interaction effects of some traits indicate that although they are not significant at the unary level, their co-occurrence differentiates malicious insiders with benign insiders as portrayed in the media.","PeriodicalId":54855,"journal":{"name":"Journal of Computer Information Systems","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135937793","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-09-11DOI: 10.1080/08874417.2023.2251452
Malyun Hilowle, William Yeoh, Marthie Grobler, Graeme Pye, Frank Jiang
National digital identity systems (NDIDs) are increasingly important for users’ authentication and secure access to e-government services. However, there is insufficient research on human-centric cybersecurity (HCCS) that impacts the use of NDIDs. Drawing on the theory of planned behavior and technical formal informal model, this paper proposes and validates a research model that depicts how HCCS affect the use of NDIDs. Data were collected from 203 Australian residents and analyzed using structural equation modeling and multiple linear regression analysis. The findings revealed that security, privacy, perceived risk, usability, flexibility, and cultural and social interference significantly impact the use of NDIDs. Considering HCCS in NDIDs usage, especially in risk-conscious cultures, is crucial. Low cybersecurity awareness and trust impede NDIDs adoption, emphasizing the need for cybersecurity education and awareness. The insights benefit policymakers, governments, and cybersecurity practitioners, providing a valuable understanding of human-centric cybersecurity influence on the use of NDIDs.
{"title":"Improving National Digital Identity Systems Usage: Human-Centric Cybersecurity Survey","authors":"Malyun Hilowle, William Yeoh, Marthie Grobler, Graeme Pye, Frank Jiang","doi":"10.1080/08874417.2023.2251452","DOIUrl":"https://doi.org/10.1080/08874417.2023.2251452","url":null,"abstract":"National digital identity systems (NDIDs) are increasingly important for users’ authentication and secure access to e-government services. However, there is insufficient research on human-centric cybersecurity (HCCS) that impacts the use of NDIDs. Drawing on the theory of planned behavior and technical formal informal model, this paper proposes and validates a research model that depicts how HCCS affect the use of NDIDs. Data were collected from 203 Australian residents and analyzed using structural equation modeling and multiple linear regression analysis. The findings revealed that security, privacy, perceived risk, usability, flexibility, and cultural and social interference significantly impact the use of NDIDs. Considering HCCS in NDIDs usage, especially in risk-conscious cultures, is crucial. Low cybersecurity awareness and trust impede NDIDs adoption, emphasizing the need for cybersecurity education and awareness. The insights benefit policymakers, governments, and cybersecurity practitioners, providing a valuable understanding of human-centric cybersecurity influence on the use of NDIDs.","PeriodicalId":54855,"journal":{"name":"Journal of Computer Information Systems","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135937792","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-09-01DOI: 10.1080/08874417.2023.2248925
Juan Carlos Fernandez de Arroyabe, Marta F. Arroyabe, Ignacio Fernandez, Carlos F. A. Arranz
{"title":"Cybersecurity Resilience in SMEs. A Machine Learning Approach","authors":"Juan Carlos Fernandez de Arroyabe, Marta F. Arroyabe, Ignacio Fernandez, Carlos F. A. Arranz","doi":"10.1080/08874417.2023.2248925","DOIUrl":"https://doi.org/10.1080/08874417.2023.2248925","url":null,"abstract":"","PeriodicalId":54855,"journal":{"name":"Journal of Computer Information Systems","volume":"1 1","pages":""},"PeriodicalIF":2.8,"publicationDate":"2023-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89641557","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-09-01DOI: 10.1080/08874417.2023.2251455
Salah AlBenJasim, T. Dargahi, Haifa Takruri, Rabab Al-Zaidi
{"title":"FinTech Cybersecurity Challenges and Regulations: Bahrain Case Study","authors":"Salah AlBenJasim, T. Dargahi, Haifa Takruri, Rabab Al-Zaidi","doi":"10.1080/08874417.2023.2251455","DOIUrl":"https://doi.org/10.1080/08874417.2023.2251455","url":null,"abstract":"","PeriodicalId":54855,"journal":{"name":"Journal of Computer Information Systems","volume":"1 1","pages":""},"PeriodicalIF":2.8,"publicationDate":"2023-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83104229","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"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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