International Journal of Information Management最新文献

{"title":"Influence of perceived risk on consumers’ intention and behavior in cross-border e-commerce transactions: A case study of the Tmall Global platform","authors":"Dan Ma ,&nbsp;Jialing Dong ,&nbsp;Chien-Chiang Lee","doi":"10.1016/j.ijinfomgt.2024.102854","DOIUrl":"10.1016/j.ijinfomgt.2024.102854","url":null,"abstract":"<div><div>With the rapid development of economic integration and information technology, cross-border e-commerce has become the most important form of e-commerce. However, there are currently many uncertainties in cross-border online shopping, and the low physical proximity exacerbates the psychological distance, perceived risk, and lack of trust, all of which affect consumer decision-making to a considerable extent. This study adopts both quantitative and qualitative methods. A questionnaire survey was conducted among consumers using the Tmall Global platform in Chinese-speaking (433 individuals) and non-Chinese-speaking (379 individuals) regions, and structural equation modeling was used for data analysis. We also conducted a focus group discussion to interpret the quantitative results and provide recommendations for platform improvements. The results show that perceived risk has a negative effect on consumers’ intentions and behaviors to purchase and recommend the platform. Perceived risk can reduce the level of trust, whereas trust and intention can promote consumer behavior.</div></div>","PeriodicalId":48422,"journal":{"name":"International Journal of Information Management","volume":"81 ","pages":"Article 102854"},"PeriodicalIF":20.1,"publicationDate":"2024-11-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142704561","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Collaborative AI in the workplace: Enhancing organizational performance through resource-based and task-technology fit perspectives","authors":"Aleksandra Przegalinska ,&nbsp;Tamilla Triantoro ,&nbsp;Anna Kovbasiuk ,&nbsp;Leon Ciechanowski ,&nbsp;Richard B. Freeman ,&nbsp;Konrad Sowa","doi":"10.1016/j.ijinfomgt.2024.102853","DOIUrl":"10.1016/j.ijinfomgt.2024.102853","url":null,"abstract":"<div><div>This research examines how artificial intelligence, human capabilities, and task types influence organizational outcomes. By leveraging the frameworks of the Resource-Based View and Task Technology Fit theories, we executed two distinct studies to assess the effectiveness of a generative AI tool in aiding task performance across a spectrum of task complexities and creative demands. The initial study tested the utility of generative AI across diverse tasks and the significance of AI-related skills enhancement. The subsequent study explored interactions between humans and AI, analyzing emotional tone, sentence structure, and word choice. Our results indicate that incorporating AI can significantly improve organizational task performance in areas such as automation, support, creative endeavors, and innovation processes. We also observed that generative AI generally presents more positive sentiment, utilizes simpler language, and has a narrower vocabulary than human counterparts. These insights contribute to a broader understanding of AI's strengths and weaknesses in organizational settings and guide the strategic implementation of AI systems.</div></div>","PeriodicalId":48422,"journal":{"name":"International Journal of Information Management","volume":"81 ","pages":"Article 102853"},"PeriodicalIF":20.1,"publicationDate":"2024-11-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142654354","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Personal data strategies in digital advertising: Can first-party data outshine third-party data?","authors":"Minjeong Ham ,&nbsp;Sang Woo Lee","doi":"10.1016/j.ijinfomgt.2024.102852","DOIUrl":"10.1016/j.ijinfomgt.2024.102852","url":null,"abstract":"<div><div>As Google explores new personal data strategies, it aims to strike a balance between enhancing privacy and maintaining personalization, ensuring that consumers' data is handled responsibly while still delivering relevant and personalized advertising. This study, based on the privacy calculus framework, employs a mixed-methods approach to address two key objectives: 1) understanding how different levels of personalization impact advertising performance based on the type of data utilized, and 2) exploring the underlying mechanism of consumer reactions to personalized advertising using different types of personal data. To achieve the first research goal, Study 1 integrates Analytic Hierarchy Process (AHP) analysis of survey data from 25 advertisers with econometric analysis of advertising data from a European beauty company. To achieve the second research objective, Study 2 explores consumer perceptions through in-depth interviews and an online survey. The key findings of this study are as follows. The AHP analysis revealed that advertisers prioritize first-party data, especially purchase history, for enhancing personalized targeting. The econometric analysis suggested that while third-party data is currently most effective for enhancing advertising performance, first-party data emerges as a promising alternative in light of evolving advertising policies. Qualitative and quantitative analyses revealed complex interactions between personalization levels, data types, and consumer responses, highlighting the tension between personalization benefit and risk. These insights provide valuable guidance for advertisers, platforms, and policymakers in navigating the changing landscape of digital advertising and personal data privacy.</div></div>","PeriodicalId":48422,"journal":{"name":"International Journal of Information Management","volume":"80 ","pages":"Article 102852"},"PeriodicalIF":20.1,"publicationDate":"2024-11-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142657376","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Using the influence of human-as-machine representation for self-improvement products","authors":"Michelle Teng ,&nbsp;Wei Song ,&nbsp;Tianjiao Liu ,&nbsp;Jiaying Dong","doi":"10.1016/j.ijinfomgt.2024.102851","DOIUrl":"10.1016/j.ijinfomgt.2024.102851","url":null,"abstract":"<div><div>With the continuous growth surrounding technology advancements, evaluating ways to utilize this tool to its best abilities is important. This research focuses on using machine-like representations in marketing, expanding on the existing theories of anthropomorphism and dehumanization. Portraying specific body parts as machines can effectively stimulate consumers' motivation to enhance the corresponding capabilities, thereby improving their preference for self-improvement products. Three dimensions of human-as-machine representation are explored: the human brain, heart and arms, experimentally demonstrating that they help consumers identify areas of inadequacy and boost self-improvement motives, especially when self-control is low. Across four studies, study 1 examines the main effects of human-as-machine representation on consumers’ preference for self-improvement products. Study 2 tests the mechanism of self-improvement motives for abilities. Study 3 examines the interaction effect of human-as-machine representation and level of self-control (high vs. low) on consumers’ self-improvement motives for skills and preference for self-improvement products. A final qualitative study was conducted to reveal nuanced distinctions in participants' perspectives on human-as-machine representations, comparing findings across the previous three studies, and identifying opportunities and challenges. Ultimately, the findings suggest that portraying precise body parts as machines enhances the desire to improve the corresponding skills, resulting in a better preference for self-improvement products.</div></div>","PeriodicalId":48422,"journal":{"name":"International Journal of Information Management","volume":"80 ","pages":"Article 102851"},"PeriodicalIF":20.1,"publicationDate":"2024-10-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142437910","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The exploration of users’ perceived value from personalization and virtual conversational agents to enable a smart home assemblage– A mixed method approach","authors":"Marco Hubert ,&nbsp;Shahab Kazemi ,&nbsp;Mirja Hubert ,&nbsp;Andrea Carugati ,&nbsp;Marcello M. Mariani","doi":"10.1016/j.ijinfomgt.2024.102850","DOIUrl":"10.1016/j.ijinfomgt.2024.102850","url":null,"abstract":"<div><div>Advancements in smart home technologies are beneficial and valuable for both users and firms. Nevertheless, users’ acceptance of these applications are considerably influenced by the need for user personalization, complex and dynamic within a smart home environment, and thus, can present limitations. Additionally, the role of a virtual conversational agent, both as an individual entity and as part of a collective network, in the setup and management of various smart home devices warrants further exploration. To investigate the enablers and inhibitors of smart home adoption and the role of virtual conversational agents, a mixed-method design was employed, comprising two studies: a survey of 1403 users (Study 1) and a topic modeling approach based on 355,340 Reddit posts (Study 2). The findings indicate that the usefulness of personalized applications and services, as well as the integration of a virtual conversational agent as a central component, are crucial in facilitating smart home adoption. The empirical analyses provide significant implications for research and practice by extending existing technology acceptance and use models to include smart device assemblages.</div></div>","PeriodicalId":48422,"journal":{"name":"International Journal of Information Management","volume":"80 ","pages":"Article 102850"},"PeriodicalIF":20.1,"publicationDate":"2024-10-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142419940","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Extending the unified theory of acceptance and use of technology for sustainable technologies context","authors":"Catarina Neves ,&nbsp;Tiago Oliveira ,&nbsp;Frederico Cruz-Jesus ,&nbsp;Viswanath Venkatesh","doi":"10.1016/j.ijinfomgt.2024.102838","DOIUrl":"10.1016/j.ijinfomgt.2024.102838","url":null,"abstract":"<div><p>Following the United Nations' Sustainable Development Goals (SDG) recommendations, sustainable technologies are increasingly being introduced as a step toward more sustainable behaviors and efforts against environmental problems. However, a holistic investigation of the main factors influencing its adoption and use is necessary. To this end, this work aims to explain the determinants of sustainable technologies used by consumers. Specifically, we develop a contextualized model that extends the unified theory of acceptance and use of technology 2 (UTAUT2) by leveraging a mixed-methods approach and, therefore, conducting three studies. The so-developed contextualized model of consumer adoption of sustainable technology is tested using 2003 observations from five European countries. Such a sample also provides the opportunity for a cross-country comparison. We found that habit, environmental knowledge, information provision, and innovativeness were significant predictors of sustainable technology use. Additionally, the cross-country comparison revealed that although conclusions are generally consistent across the countries, they differ in some effects, like social influence and price value. Taken together, we thus provide insights into the consumers' motivations to adopt and use sustainable technologies.</p></div>","PeriodicalId":48422,"journal":{"name":"International Journal of Information Management","volume":"80 ","pages":"Article 102838"},"PeriodicalIF":20.1,"publicationDate":"2024-09-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S0268401224000860/pdfft?md5=23f5a1c341e3bef4cabd764f515081e8&pid=1-s2.0-S0268401224000860-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142242696","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Unrequited love? A mixed-methods study of parasocial engagement with social media influencers","authors":"Olli Tyrväinen ,&nbsp;Heikki Karjaluoto","doi":"10.1016/j.ijinfomgt.2024.102845","DOIUrl":"10.1016/j.ijinfomgt.2024.102845","url":null,"abstract":"<div><p>Companies increasingly use social media influencers to engage with consumers and to promote their products. However, despite growing research interest in these parasocial relationships, the nature of parasocial engagement has not yet been comprehensively conceptualized. This study integrated previous studies within a parasocial engagement framework with three dimensions: cognitive processing, affection, and behavior. It used a mixed-methods approach: a meta-analysis of 117 studies with a total of 47,647 respondents and an exploratory qualitative study of 25 interviews. Current accounts of parasocial engagement were extended by identifying influencer characteristics (i.e., expertise, trustworthiness, social attractiveness, physical attractiveness, and congruence) as key elements of the construct. The study findings confirmed that the dimensions of parasocial engagement are collectively related to brand associations and purchase intentions, and that the impact of parasocial engagement on purchase intention is dependent on the product characteristics (i.e., involvement and purchase frequency) and the content type (i.e., picture vs. video). Theoretical and managerial implications of these findings are discussed, and an agenda for future research is proposed.</p></div>","PeriodicalId":48422,"journal":{"name":"International Journal of Information Management","volume":"80 ","pages":"Article 102845"},"PeriodicalIF":20.1,"publicationDate":"2024-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S0268401224000938/pdfft?md5=e04ee49ed2c2355007e4230817a7c13e&pid=1-s2.0-S0268401224000938-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142164920","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Firms’ use of predictive artificial intelligence for economic value creation and appropriation","authors":"Darek M. Haftor ,&nbsp;Ricardo Costa-Climent ,&nbsp;Samuel Ribeiro-Navarrete","doi":"10.1016/j.ijinfomgt.2024.102836","DOIUrl":"10.1016/j.ijinfomgt.2024.102836","url":null,"abstract":"<div><p>Firms are increasingly investing in the use of artificial intelligence (AI). Some succeed in creating and appropriating substantial economic value, but many fail. There is no consensus as to how a firm should use AI to create and appropriate economic value. This paper provides an answer to that question. A novel research model is advanced based on the notion of data network effects being realized within a firm’s business model. This research model is tested in a unique and natural industrial setting of two competing firms that simultaneously adopt the use of similar predictive AI. This setting is researched with two distinct empirical studies that employ mixed-methods research. The results shows that one firm fails to convert its AI use into economic value creation and appropriation while the other succeeds. Value is created and appropriated by ensuring that AI users perceive high user value that realize data network effects while being located in the firm’s business model architecture so as to activate business value drivers. These findings confirm the here proposed research model and offer novel theoretical contributions and specific managerial implications.</p></div>","PeriodicalId":48422,"journal":{"name":"International Journal of Information Management","volume":"79 ","pages":"Article 102836"},"PeriodicalIF":20.1,"publicationDate":"2024-09-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S0268401224000847/pdfft?md5=03d25f1fc6be237d329d77e3ccff8230&pid=1-s2.0-S0268401224000847-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142128292","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Can ChatGPT replace humans in crisis communication? The effects of AI-mediated crisis communication on stakeholder satisfaction and responsibility attribution","authors":"Yi Xiao ,&nbsp;Shubin Yu","doi":"10.1016/j.ijinfomgt.2024.102835","DOIUrl":"10.1016/j.ijinfomgt.2024.102835","url":null,"abstract":"<div><p>Imagine a world where chatbots are the first responders to crises, efficiently addressing concerns and providing crucial information. ChatGPT has demonstrated the capability of GenAI (Generative Artificial Intelligence)-powered chatbots when deployed to answer crisis-related questions in a timely and cost-efficient manner, thus replacing humans in crisis communication. However, public reactions to such messages remain unknown. To address this problem, this study recruited participants (N₁ = 399, N₂ = 189, and N₃ = 121) and conducted two online vignette experiments and a qualitative survey. The results suggest that, when organizations fail to handle crisis-related requests, stakeholders exhibit higher satisfaction and lower responsibility attribution to chatbots providing instructing (vs. adjusting) information, as they are perceived to be more competent. However, when organizations satisfy requests, chatbots that provide adjusting (vs. instructing information) lead to higher satisfaction and lower responsibility attribution due to higher perceived competence. The second experiment involving a public emergency crisis scenario reveals that, regardless of the information provided (instructing or adjusting), stakeholders exhibit greater satisfaction and positive attitudes toward high-competence (vs. low-competence) chatbots. The qualitative study further confirms the experimental findings and offers insights to improve crisis chatbots. These findings contribute to the literature by extending situational crisis communication theory to nonhuman touchpoints and providing a deeper understanding of using chatbots in crisis communication through the lens of machine heuristics. The study also offers practical guidance for organizations to strategically integrate chatbots and human agents in crisis management based on context.</p></div>","PeriodicalId":48422,"journal":{"name":"International Journal of Information Management","volume":"80 ","pages":"Article 102835"},"PeriodicalIF":20.1,"publicationDate":"2024-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S0268401224000835/pdfft?md5=ceed83c1af4887cb77134048be27eaeb&pid=1-s2.0-S0268401224000835-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142096871","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Design characteristics and service experience with e-government services: A public value perspective","authors":"Frank K.Y. Chan ,&nbsp;James Y.L. Thong ,&nbsp;Susan A. Brown ,&nbsp;Viswanath Venkatesh","doi":"10.1016/j.ijinfomgt.2024.102834","DOIUrl":"10.1016/j.ijinfomgt.2024.102834","url":null,"abstract":"<div><p>We propose a model that explains how e-government service design characteristics influence citizens’ service experience. Drawing on the public value perspective, we define four categories of e-government impacts and identify their corresponding design characteristics: (1) capability—accuracy and completeness; (2) interactions—accessibility and self-service capability; (3) orientation—user support and personalization capability; and (4) value distribution—privacy protection. We propose that citizens’ perceptions of the design characteristics affect four core technology beliefs—i.e., performance expectancy, effort expectancy, facilitating conditions, and trust—that in turn affect two service experience outcomes—i.e., perceived service quality and continuance intention. We tested our model in a two-stage survey of 2623 users of two e-government services—i.e., an e-government portal and an online appointment booking service. The results showed that citizens’ perceptions of the design characteristics predict the core technology beliefs that in turn predict perceived service quality and eventually continuance intention. Further mediation analyses showed that the core technology beliefs significantly mediate the effects of design characteristics on perceived service quality, but with different patterns of full and partial mediation across the two services. These findings contribute to understanding the underlying mechanisms through which service design characteristics influence service experience. We discuss the theoretical and practical implications on e-government service design and delivery.</p></div>","PeriodicalId":48422,"journal":{"name":"International Journal of Information Management","volume":"80 ","pages":"Article 102834"},"PeriodicalIF":20.1,"publicationDate":"2024-08-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S0268401224000823/pdfft?md5=4f549857a42906f3908077eaeb50abd9&pid=1-s2.0-S0268401224000823-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142041136","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}