{"title":"An empirical comparison of prominent theories of social media discontinuance: Toward a synthesized model","authors":"Isaac Vaghefi , Ofir Turel , John D'Arcy","doi":"10.1016/j.im.2025.104163","DOIUrl":"10.1016/j.im.2025.104163","url":null,"abstract":"<div><div>Research on social media (SM) discontinuance draws on a range of theories and constructs to explain this phenomenon, making it difficult to evaluate the relative predictive strengths of these theories or identify common themes across their explanations. In this paper, we address these challenges by conducting an empirical comparison of eight prominent theories used to study SM discontinuance, based on survey data from 344 SM users. Building on these findings, we performed additional empirical comparisons and conceptual analyses and conducted a Delphi study to develop a proposed synthesized model of SM discontinuance. This model uses the theory of planned behavior as its core framework and incorporates six antecedent categories that reflect shared elements among the constructs from the examined theories. The synthesized model was empirically validated using the survey data, providing a cohesive explanation of key factors driving SM discontinuance. Our findings clarify which theories are most effective for predicting and explaining SM discontinuance and offer a streamlined framework that can serve as a foundation for future research on this topic.</div></div>","PeriodicalId":56291,"journal":{"name":"Information & Management","volume":"62 6","pages":"Article 104163"},"PeriodicalIF":8.2,"publicationDate":"2025-05-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143918371","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Heterogeneity in the interaction between mobile channels: Evidence from a large-sample study","authors":"Ziqing Yuan, Hailiang Chen","doi":"10.1016/j.im.2025.104164","DOIUrl":"10.1016/j.im.2025.104164","url":null,"abstract":"<div><div>This study examined the impact of mobile app launches on mobile website traffic across firms, addressing the question of whether new apps complement or substitute existing mobile websites. Using a large sample and considering various firm characteristics, we uncovered the general synergistic effect between these two channels. However, this relationship can shift depending on such factors as market share, pre-event user engagement, average user age, app purpose, and app competition. These findings provide valuable insights for firms seeking to optimize their mobile channel strategies and stress the importance of considering potential substitution effects and efficient resource allocation.</div></div>","PeriodicalId":56291,"journal":{"name":"Information & Management","volume":"62 6","pages":"Article 104164"},"PeriodicalIF":8.2,"publicationDate":"2025-05-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143936428","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Checking the facts! exploring social media users' sharing of verified COVID-19 information from the comprehensive action determination model","authors":"Zhenya Tang , Brandon Soltwisch","doi":"10.1016/j.im.2025.104161","DOIUrl":"10.1016/j.im.2025.104161","url":null,"abstract":"<div><div>Sharing verified information on social media is critical to preventing the spread of dangerous misinformation, protecting public health, and promoting informed decision-making during health crises, such as the COVID-19 pandemic. This study aims to shift the focus from the detrimental impact of social media users in disseminating unverified information during crises to the potential for motivating these same users to counteract the COVID-19 infodemic by sharing verified information. Our research model is grounded in the comprehensive action determination model and tested through survey data from 395 social media users. Our findings suggest that users' verified-information-sharing behavior is influenced by various factors, including attitude, personal norms, social norms, habit, self-efficacy, and perceived threat. Our study highlights the role of social media users in combating the spread of unverified information during health crises and offers significant theoretical and practical implications.</div></div>","PeriodicalId":56291,"journal":{"name":"Information & Management","volume":"62 6","pages":"Article 104161"},"PeriodicalIF":8.2,"publicationDate":"2025-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143936425","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Does the industrial big data environment matter? An evaluation of its effect on the production performance","authors":"Liwen Hou","doi":"10.1016/j.im.2025.104159","DOIUrl":"10.1016/j.im.2025.104159","url":null,"abstract":"<div><div>The widespread deployment of the Internet of Things has created a brand-new digital environment—an industrial big data environment (IBDE) characterized by a multitude of data resources. This study posits that IBDE, which has been commonly neglected in previous research, not only incubates affordance awareness capability, but also incurs data debt (DD), a new type of technical debt. This study uses affordances of manufacturing, manufacturing agility, and manufacturing excellence, together with DD, to parse the mechanism about how IBDE influences the enterprise production performance. We hypothesize that these three mediators are in charge of transmitting the influence of the munificent IBDE on the production performance. Empirical results confirm that IBDE significantly influences the three mediators, which in turn exert significant effects on the production performance. As such, we validate the existence of the mediating effect, and the significance of IBDE on the actions of affordance actualization. Further, despite the overall positive effect of the mediators on performance, the adverse influence of DD nevertheless cannot be neglected. These findings remind enterprises that a balanced development strategy of digital environment is imperative in terms of actualization of the affordances.</div></div>","PeriodicalId":56291,"journal":{"name":"Information & Management","volume":"62 6","pages":"Article 104159"},"PeriodicalIF":8.2,"publicationDate":"2025-04-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143895382","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Jiahao Yu , Yuhan Yan , Lu (Monroe) Meng , Rongyi Huang
{"title":"The impact of blockchain technology on competing suppliers on an E-commerce platform","authors":"Jiahao Yu , Yuhan Yan , Lu (Monroe) Meng , Rongyi Huang","doi":"10.1016/j.im.2025.104160","DOIUrl":"10.1016/j.im.2025.104160","url":null,"abstract":"<div><div>We develop a game-theoretic model to explore the impact of blockchain adoption on various players within a platform supply chain, as well as its interaction with selling contract strategies. In our model, the high-class supplier determines the blockchain adoption strategy, and the low-class supplier selects the selling contract. Our analysis shows that the low-class supplier benefits from the high-class supplier’s adoption of blockchain, resulting in higher prices for both products. In the sequential equilibrium, the high-class supplier's blockchain adoption decision is driven by operational costs, whereas the low-class supplier's choice of selling contract depends on its product quality. Additionally, we extend the model to analyze scenarios where the high-class supplier operates through a reselling channel and investigate the impact of endogenous quality decisions.</div></div>","PeriodicalId":56291,"journal":{"name":"Information & Management","volume":"62 6","pages":"Article 104160"},"PeriodicalIF":8.2,"publicationDate":"2025-04-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143936429","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Navigating digital turbulence and seizing new possibilities: Special issue from the Pacific Asia Conference on Information Systems","authors":"Andrew Burton-Jones , Chuan-Hoo Tan , Bo Xiao","doi":"10.1016/j.im.2025.104158","DOIUrl":"10.1016/j.im.2025.104158","url":null,"abstract":"","PeriodicalId":56291,"journal":{"name":"Information & Management","volume":"62 5","pages":"Article 104158"},"PeriodicalIF":8.2,"publicationDate":"2025-04-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143937930","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Stylometric characteristics of code-switched offensive language in social media","authors":"Lina Zhou , Zhe Fu","doi":"10.1016/j.im.2025.104153","DOIUrl":"10.1016/j.im.2025.104153","url":null,"abstract":"<div><div>Offensive language is a significant detriment to social media environments. Existing research predominantly assumes monolingual expression, overlooking the prevalent behavior of code-switching (CS). To address this critical knowledge gap, this study identifies and empirically validates the distinct stylometric characteristics of code-switched (CSed) offensive language. Additionally, we developed methods to construct the first social media dataset specifically for CSed offensive content. Our analysis of this dataset reveals that CSed offensive language exhibits unique stylometric characteristics; moreover, these characteristics vary between the language segments involved in the CS. Furthermore, incorporating these features significantly enhances the performance of offensive language detection models. These findings offer significant research and practical implications for social media researchers, platforms, moderators, and users.</div></div>","PeriodicalId":56291,"journal":{"name":"Information & Management","volume":"62 6","pages":"Article 104153"},"PeriodicalIF":8.2,"publicationDate":"2025-04-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143869813","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"A new exploration of signaling theory in social commerce facilitated cross-border retailing: A four-stage approach","authors":"Xiao-Yu Xu , Qing-Dan Jia","doi":"10.1016/j.im.2025.104154","DOIUrl":"10.1016/j.im.2025.104154","url":null,"abstract":"<div><div>This study offers a holistic interpretation of signaling theory by demonstrating a four-stage research rationale innovatively to unveil the mechanism of five signaling elements in resolving the information asymmetry in social commerce-facilitated cross-border e-commerce. Using different data sources and methods, stages 1 and 2 cross-validate the significance of the signaling elements that are deconstructed as second-order constructs and mirror the dual routes in the elaborated likelihood model. The artificial neural networking analysis in stage 4 reveals the importance ranks of the information factors in three consumer segments that are identified via unobserved heterogeneity analysis regarding the receiver's moderating role in stage 3.</div></div>","PeriodicalId":56291,"journal":{"name":"Information & Management","volume":"62 5","pages":"Article 104154"},"PeriodicalIF":8.2,"publicationDate":"2025-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143833563","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Kyootai Lee , Kailash Joshi , Jin-Gyu Kim , Jongweon Kim
{"title":"Examining the evolving influence of early-stage team context on individuals’ IS usage over time during implementation","authors":"Kyootai Lee , Kailash Joshi , Jin-Gyu Kim , Jongweon Kim","doi":"10.1016/j.im.2025.104155","DOIUrl":"10.1016/j.im.2025.104155","url":null,"abstract":"<div><div>Drawing from the literature on collective information system (IS) usage and social learning theory, we identified how early-stage team IS usage characteristics shape the evolution of individuals’ IS usage. We obtained actual IS usage data from a news organization, covering 504 employees across 43 teams over 14 weeks. The results showed that early-stage team IS usage characteristics created assimilation gaps among individuals after the early stage. However, the impact of these team characteristics declines over time. This study contributes to the literature by investigating the time-dependent roles of collective IS usage characteristics for individuals’ usage and providing an integrated view of switching and post-adoption behaviors.</div></div>","PeriodicalId":56291,"journal":{"name":"Information & Management","volume":"62 6","pages":"Article 104155"},"PeriodicalIF":8.2,"publicationDate":"2025-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143869814","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Cracking the AI recruitment code: Striving for transparency in finding the right person–job fit","authors":"Aihui Chen , Feifei Han , Xinyi Zhang , Yaobin Lu","doi":"10.1016/j.im.2025.104156","DOIUrl":"10.1016/j.im.2025.104156","url":null,"abstract":"<div><div>The use of artificial intelligence (AI) has significantly enhanced the efficiency of resume screening; however, discrepancies in person–job fit assessments between AI and human evaluators can adversely affect the recruitment process. This study introduces the concept of \"person–job fit perception difference\" to describe these discrepancies and proposes a theoretical model outlining the relationships among person–job fit perception difference, AI transparency, and algorithmic literacy. Based on data from a 2 × 3 factorial-design experiment (<em>N</em> = 286), the findings reveal that both external transparency and functional transparency of AI recruitment systems negatively influence the person–job fit perception difference. Additionally, two distinct aspects of algorithmic literacy moderate different pathways in this process.</div></div>","PeriodicalId":56291,"journal":{"name":"Information & Management","volume":"62 5","pages":"Article 104156"},"PeriodicalIF":8.2,"publicationDate":"2025-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143854910","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}