{"title":"Corrigendum to “The potential of digital nudging to bridge the gap between environmental attitude and behavior in the usage of smart home applications” [International Journal of Information Management 72 (2023) 102665]","authors":"Stefan Stieglitz , Milad Mirbabaie , Annika Deubel , Lea-Marie Braun , Tobias Kissmer","doi":"10.1016/j.ijinfomgt.2024.102774","DOIUrl":"https://doi.org/10.1016/j.ijinfomgt.2024.102774","url":null,"abstract":"","PeriodicalId":48422,"journal":{"name":"International Journal of Information Management","volume":"76 ","pages":"Article 102774"},"PeriodicalIF":21.0,"publicationDate":"2024-03-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S0268401224000227/pdfft?md5=74a8ad770771e9ccf2dff01cde37cff2&pid=1-s2.0-S0268401224000227-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140062127","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}
Lan Cao , Sumantra Sarkar , Balasubramaniam Ramesh , Kannan Mohan , Eun Hee Park
{"title":"Shift of ambidexterity modes: An empirical investigation of the impact of artificial intelligence in customer service","authors":"Lan Cao , Sumantra Sarkar , Balasubramaniam Ramesh , Kannan Mohan , Eun Hee Park","doi":"10.1016/j.ijinfomgt.2024.102773","DOIUrl":"https://doi.org/10.1016/j.ijinfomgt.2024.102773","url":null,"abstract":"<div><p>To manage the trade-offs between exploration and exploitation, customer service organizations typically choose a specific ambidexterity mode, such as structural separation or behavioral integration, that suits their context. However, recent research suggests that organizations need to dynamically change their ambidexterity modes to better align with changing environmental and organizational contexts. This study examines the impact of AI in facilitating the shift across various modes of ambidexterity in customer service organizations. Our findings reveal that achieving shifts in ambidexterity modes is challenging, and organizations must overcome technology, business process, and stakeholder related barriers. Based on our findings, we develop a set of propositions for further investigation. Our study contributes to research on the dynamic perspective of ambidexterity by shedding light on how customer service organizations shift from one ambidexterity mode to another and by articulating the important roles played by AI in achieving such shifts.</p></div>","PeriodicalId":48422,"journal":{"name":"International Journal of Information Management","volume":"76 ","pages":"Article 102773"},"PeriodicalIF":21.0,"publicationDate":"2024-03-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140031486","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}
Luisa Mariele Strauss , Amarolinda Zanela Klein , Eusebio Scornavacca
{"title":"Adopting emerging information technology: A new affordances process framework","authors":"Luisa Mariele Strauss , Amarolinda Zanela Klein , Eusebio Scornavacca","doi":"10.1016/j.ijinfomgt.2024.102772","DOIUrl":"https://doi.org/10.1016/j.ijinfomgt.2024.102772","url":null,"abstract":"<div><p>The adoption of emerging IT in organizations often involves dealing with high levels of uncertainty. In response to this challenge, we propose a framework that combines affordances theory and the resource orchestration process to explain the steps that organizations take to actualize the affordances of emerging IT. Our framework is supported by empirical data gathered from three case studies involving organizations that implemented big data analytics (BDA). We introduce a novel phase in the affordances process called <em>affordances preparation</em>. This phase occurs between affordances perception and affordances actualization and explains how organizations bridge the gap between their existing capabilities and resources and those required to use emerging IT, such as BDA. During this preparation stage, the organizations studied engaged in orchestration processes that combined external and internal resources and technologies, creating autonomous organizational structures to implement BDA. Additionally, these organizations invested in training, consulting, and outsourcing, embracing new development methods within multidisciplinary teams with user involvement. These actions resulted in the cultural changes necessary for fostering a data-driven culture in these organizations.</p></div>","PeriodicalId":48422,"journal":{"name":"International Journal of Information Management","volume":"76 ","pages":"Article 102772"},"PeriodicalIF":21.0,"publicationDate":"2024-02-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139986427","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":"Understanding strategies for digital government transformation: A strategic action fields perspective","authors":"Yiwei Gong, Xinyi Yang","doi":"10.1016/j.ijinfomgt.2024.102766","DOIUrl":"https://doi.org/10.1016/j.ijinfomgt.2024.102766","url":null,"abstract":"<div><p>Digital technologies are transforming public service provision by affecting governments, technology vendors, and citizens, as well as their interactions. However, digital government transformation (DGT) is complex and challenging, with governments often lacking clear strategic adjustments during their digital journeys. This study discusses six strategic factors, including business environment, digital infrastructure, financial capability, innovation capability, information security, and public demand, and identifies the configurations that lead to a significant increase in digital government performance. Based on the theory of strategic action fields, we developed a theoretical framework to understand the DGT process and changes in configurations. Based on a novel Multiple Time Differencing Qualitative Comparative Analysis (MTD/QCA) method, the analysis of 31 provincial regions in Chinese mainland over four years derived 13 distinct solutions in the three basic stages of DGT: exploration, concentration, and complementation. These findings reveal the complexity of DGT from an evolutionary perspective and indicate that these factors do not work in isolation, but in combination with others to promote DGT. Understanding the configurational relationships of these factors can help governments adjust their strategies across the three stages of DGT.</p></div>","PeriodicalId":48422,"journal":{"name":"International Journal of Information Management","volume":"76 ","pages":"Article 102766"},"PeriodicalIF":21.0,"publicationDate":"2024-02-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139898607","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":"Humans as teammates: The signal of human–AI teaming enhances consumer acceptance of chatbots","authors":"You Li , Yi Li , Qian Chen , Yaping Chang","doi":"10.1016/j.ijinfomgt.2024.102771","DOIUrl":"https://doi.org/10.1016/j.ijinfomgt.2024.102771","url":null,"abstract":"<div><p>Human–artificial intelligence (AI) teaming is a service system in which AI agents work interdependently toward a common goal alongside human agents. Although many consumer services rely on chatbots working with humans, little is known about the influence of human–AI teaming on consumers’ perceptions and use of chatbots in online service encounters. Using signaling theory, the present research examines whether and how human–AI teaming (vs. independent AI) increases consumer acceptance of chatbots. Through six scenario-based studies and an interview, we found that human–AI teaming can use human capabilities to endorse the effectiveness and authenticity of AI, leading to increased chatbot acceptance. However, this effect was not observed when AI capability was clear or the human service experience was negative. We contribute to information systems research by showing the mechanism and boundary conditions underlying the effect of human–AI teaming on chatbot acceptance. We also provide practical insights for managers emphasizing how human teammates in AI–consumer conversations can increase consumer acceptance of AI.</p></div>","PeriodicalId":48422,"journal":{"name":"International Journal of Information Management","volume":"76 ","pages":"Article 102771"},"PeriodicalIF":21.0,"publicationDate":"2024-02-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139749482","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}
Yuanzhu Zhan , Yangchun Xiong , Runyue Han , Hugo K.S. Lam , Constantin Blome
{"title":"The impact of artificial intelligence adoption for business-to-business marketing on shareholder reaction: A social actor perspective","authors":"Yuanzhu Zhan , Yangchun Xiong , Runyue Han , Hugo K.S. Lam , Constantin Blome","doi":"10.1016/j.ijinfomgt.2024.102768","DOIUrl":"10.1016/j.ijinfomgt.2024.102768","url":null,"abstract":"<div><p>While AI applications are becoming ever more important in B2B marketing operations, there is a lack of research to examine whether and how shareholders react to firms' AI-enabled B2B marketing initiatives. Accordingly, the purpose of this study is to explore this process by theoretically building on the social actor perspective of the firm and investigating the impact of AI-enabled B2B marketing initiatives on shareholder reaction measured by abnormal stock returns. By adopting a propensity score matching (PSM) method to generate an artificial control group of firms without adopting AI-enabled B2B marketing initiatives, we conduct an event study based on 174 sample firms (87 treatment firms and 87 matched control firms) publicly listed in the US between 2011 and 2020. The test results suggest that firms implementing AI for B2B marketing receive greater stock returns than their industry peers without AI implementation. In addition, the stock return is more remarkable for firms operating in turbulent environments and with less complex customer bases. A qualitative focus group discussion was conducted to further complement and enrich the findings. This study provides the first empirical evidence regarding the shareholder reaction to AI-enabled B2B marketing initiatives. The results reveal the significance of the fit between AI-enabled B2B marketing values and firms' business environments. It encourages future studies to investigate AI implementation from the social actor perspective.</p></div>","PeriodicalId":48422,"journal":{"name":"International Journal of Information Management","volume":"76 ","pages":"Article 102768"},"PeriodicalIF":21.0,"publicationDate":"2024-02-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S0268401224000161/pdfft?md5=2d7034b41f09b5b72e4bfefca9b0e793&pid=1-s2.0-S0268401224000161-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139966102","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":"The effect of the anthropomorphic design of chatbots on customer switching intention when the chatbot service fails: An expectation perspective","authors":"Zhenzhen Lu, Qingfei Min, Lintong Jiang, Qi Chen","doi":"10.1016/j.ijinfomgt.2024.102767","DOIUrl":"10.1016/j.ijinfomgt.2024.102767","url":null,"abstract":"<div><p>An increasing number of enterprises are deploying chatbots to enhance service efficiency and reduce customer service costs. However, many customers prefer to switch to a human agent, especially when a chatbot service fails. From an expectation perspective, this study explores whether and how chatbots’ anthropomorphic design affects customers’ intention to switch from chatbots to human agents, as well as the mediating role of service recovery expectations in this relationship. Using a sequential mixed-methods approach, we initially conducted two quantitative studies, encompassing an online experiment (n = 404) and a survey (n = 338), to validate the causal relationships and the strength of the relationships between chatbot anthropomorphic design, customer service recovery expectations, and switching intention. Subsequently, in a qualitative study, we conducted semi-structured interviews (n = 10) to confirm and complement the quantitative study results. Collectively, the findings provide a nuanced understanding of the impact mechanism associated with chatbots’ anthropomorphic appearance and communication style concerning customer switching intentions, with implications for both researchers and practitioners.</p></div>","PeriodicalId":48422,"journal":{"name":"International Journal of Information Management","volume":"76 ","pages":"Article 102767"},"PeriodicalIF":21.0,"publicationDate":"2024-02-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139814417","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}
Joseph Amankwah-Amoah, Samar Abdalla, Emmanuel Mogaji, Amany Elbanna, Yogesh K. Dwivedi
{"title":"The impending disruption of creative industries by generative AI: Opportunities, challenges, and research agenda","authors":"Joseph Amankwah-Amoah, Samar Abdalla, Emmanuel Mogaji, Amany Elbanna, Yogesh K. Dwivedi","doi":"10.1016/j.ijinfomgt.2024.102759","DOIUrl":"10.1016/j.ijinfomgt.2024.102759","url":null,"abstract":"<div><p>Despite the debate on the potential effects of the adoption of generative artificial intelligence (AI) in modern societies in terms, there needs to be more clarity in the scholarly discourse and directions for the creative industries. In this editorial article, we discuss the potential impact of generative AI adoption on the creative industries and outline future research agendas. We argue that the successful adoption of generative AI in the creative industries lies in finding the delicate balance between maintaining human ingenuity and reaping the benefits of technological innovation. Unlike other industrial sectors, where AI primarily automates repetitive tasks, creative professionals can use generative AI as a collaborative tool to spark new avenues for creativity, streamline workflows, and accelerate creative processes. However, maintaining the human touch and authenticity that define the output of the creative industries remains a challenge for the industry and society. We examine these issues in the paper.</p></div>","PeriodicalId":48422,"journal":{"name":"International Journal of Information Management","volume":"79 ","pages":"Article 102759"},"PeriodicalIF":21.0,"publicationDate":"2024-02-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139814294","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":"Dress to impress and serve well to prevail – Modelling regressive discontinuance for social networking sites","authors":"Mohina Gandhi , Arpan Kumar Kar","doi":"10.1016/j.ijinfomgt.2024.102756","DOIUrl":"https://doi.org/10.1016/j.ijinfomgt.2024.102756","url":null,"abstract":"<div><p>Regressive discontinuance is a form of IS discontinuance that occurs due to adoption failure. The phenomenon of regressive discontinuance takes place between the adoption and continuation stages. Among the other types of IS discontinuance, this phenomenon has received little attention earlier due to the sparse availability of IS solutions. However, there are abundant IS solutions in this digital age, and keeping a user committed to it for a longer duration is a challenge. This study has been developed to enhance the knowledge about the regressive discontinuance phenomenon by employing the exploratory sequential design of mixed methods research designs. With the help of information processing and experiential perspectives of consumption, we developed a conceptual model in phase one using qualitative research. The lens of complexity theory was further utilized to identify those composite conditions that result in regressive discontinuance. A contrarian analysis, necessary condition analysis, and sufficient condition analysis have been performed to deduce the core and peripheral conditions that affect a person’s early discontinuation decision. This study has been conducted for mobile social media applications and has implications for multiple stakeholders.</p></div>","PeriodicalId":48422,"journal":{"name":"International Journal of Information Management","volume":"76 ","pages":"Article 102756"},"PeriodicalIF":21.0,"publicationDate":"2024-02-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139714532","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":"Comparing the effectiveness of recommendation agents across devices","authors":"Prashanth Ravula , Amit Bhatnagar , Subhash Jha","doi":"10.1016/j.ijinfomgt.2024.102758","DOIUrl":"https://doi.org/10.1016/j.ijinfomgt.2024.102758","url":null,"abstract":"<div><p>This research empirically studies whether recommendation agents are as effective on newer, mobile devices (i.e., tablets, smartphones) as they are on older, stationary ones (i.e., desktop computers). We analyze clickstream data from Airbnb with a novel econometric model based on beta and logit regressions and estimated within the Bayesian framework. The model controls for self-selectivity bias. Our empirical findings show that recommendation agents are less effective on mobile devices; the number of recommended alternatives clicked by smartphone (desktop computer) users is smaller (larger) than that of tablet users. This is managerially important as we also show that a consumer’s purchase likelihood is directly related to the number of recommended alternatives evaluated by them. Furthermore, we found that men and younger consumers rely less on recommendation agents. Our results highlight the importance of redesigning recommendation agents for mobile devices as well as identifying consumer segments that need stronger incentives to shop online.</p></div>","PeriodicalId":48422,"journal":{"name":"International Journal of Information Management","volume":"76 ","pages":"Article 102758"},"PeriodicalIF":21.0,"publicationDate":"2024-02-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139714533","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}