Haoyue Fan , Qiuju Yin , Junwei Kuang , Zhijun Yan
{"title":"Suicide risk prediction for users with depression in question answering communities: A design based on deep learning","authors":"Haoyue Fan , Qiuju Yin , Junwei Kuang , Zhijun Yan","doi":"10.1016/j.im.2025.104219","DOIUrl":"10.1016/j.im.2025.104219","url":null,"abstract":"<div><div>Predicting suicide risk for people with depression is crucial for preventing adverse events. Existing research has mainly focused on users’ current post in online communities, overlooking historical posts that can provide a comprehensive representation of users’ emotional changes. In this study, we propose a deep learning-based method called dynamic historical information-based suicide risk prediction (DHISRP), which integrates current and heterogeneous historical posts to capture the dynamic and complicated features of users’ post sequences for suicide risk prediction. Empirical evaluation shows the superior effectiveness of our method compared to the baseline model and emphasizes the importance of considering both current and historical posts to predict suicide risk.</div></div>","PeriodicalId":56291,"journal":{"name":"Information & Management","volume":"62 8","pages":"Article 104219"},"PeriodicalIF":8.2,"publicationDate":"2025-07-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144712981","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":"When will online free product trials contribute to product sales? The impacts of trial periods","authors":"Xue Yang , Yuting Xu , Lele Kang , Xueyan Yin","doi":"10.1016/j.im.2025.104214","DOIUrl":"10.1016/j.im.2025.104214","url":null,"abstract":"<div><div>To enhance market penetration and expand their consumer base, many e-commerce retailers implement trial marketing strategies. Extant research has investigated the impact of product trials. However, one unique feature that has garnered little attention is that online free product trials are a process consisting of successive yet distinct trial periods. The effectiveness of trial marketing throughout this process remains an open question. Drawing on the hierarchy-of-effects theory, this study posits that consumers are sequentially exposed to the advertising effect and the word-of-mouth effect in the context of online free product trials, with the intensity of these effects varying as the trial progresses. Utilizing data from the free trial center of a leading e-commerce platform, this study demonstrates that the advertising effect of trial-product-related information on consumers decreases over different trial periods. In contrast, the word-of-mouth effect of trial-outcome-related information remains consistent across all trial periods. Additionally, heterogeneity has been found among different product types (e.g., search and experience products) and across different retailer groups (e.g., junior and senior retailers). This study modestly extends the literature on product sampling and marketing strategies and seeks to offer guidance on enhancing marketing efforts and improving resource allocation.</div></div>","PeriodicalId":56291,"journal":{"name":"Information & Management","volume":"62 8","pages":"Article 104214"},"PeriodicalIF":8.2,"publicationDate":"2025-07-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144712982","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":"Modeling cryptocurrency failure using deep learning approaches and a post-hoc interpretability algorithm","authors":"Peng Xie , Nan Li , Hongwei Du","doi":"10.1016/j.im.2025.104215","DOIUrl":"10.1016/j.im.2025.104215","url":null,"abstract":"<div><div>The lack of enforced trading termination in the cryptocurrency market allows for an exploration of the “natural death” of tradable assets. We propose two deep learning survival models to study this phenomenon and a post-hoc interpretability algorithm to interpret the results and test the hypothesis. The proposed deep learning survival models outperform the time-dependent Cox regression in both prediction performance and interpretation flexibility. Our results indicate that lower trading volume, market capitalization, social media attention, and higher price volatility predict increased cryptocurrency “death” hazards.</div></div>","PeriodicalId":56291,"journal":{"name":"Information & Management","volume":"62 8","pages":"Article 104215"},"PeriodicalIF":8.2,"publicationDate":"2025-07-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144712983","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":"Allow or not? Strategic choices of competing platforms in response to ad blockers","authors":"Xinman Lu , Xiaoling Hou , Nan Yuan , Jun Wang","doi":"10.1016/j.im.2025.104217","DOIUrl":"10.1016/j.im.2025.104217","url":null,"abstract":"<div><div>The use of ad blockers poses a threat to online platforms subsisting on advertising. Building an analytical model with two competing platforms, we investigate whether the entrant platform should adopt an Allow, Ban or Ban-Whitelist strategy in response to ad blockers, if the incumbent platform allows the users to use the ad blockers. Our analysis reveals that the new entrant does not always follow the strategy of the incumbent. If regular users have high ad sensitivity, the new entrant platform should adopt the Ban or Ban-Whitelist strategy, otherwise, the Allow strategy is better off. As the ad-light level or network effects increase, the entrant platform is less likely to choose the Ban strategy and more likely to adopt the Allow strategy. We also examine the impacts of different strategic choices made by the new entrant platform on the incumbent platform and find that the incumbent platform can achieve higher profits when the entrant platform adopts the Ban-Whitelist strategy if the ad sensitivity is high. Our findings also assist the incumbent platform in adjusting its optimal ad intensity to effectively respond to the competition. Specially, the two platforms will decrease the ad intensities as the strength of network effects becomes higher. Furthermore, we find that a win-win-win outcome for the two platforms and social welfare can only be achieved when the new entrant platform adopts the Allow or Ban-Whitelist strategy. Finally, our study explores the benefits of ad blockers and demonstrates the robustness of the results through model extensions.</div></div>","PeriodicalId":56291,"journal":{"name":"Information & Management","volume":"62 8","pages":"Article 104217"},"PeriodicalIF":8.2,"publicationDate":"2025-07-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144712980","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":"Is “compromised algorithmic control” equivalent to “compromised performance”? The effect of algorithmic control on the performance of crowdsourced workers","authors":"Chen Lin , Chen Zhao , Zhonghua Gao , Jinlai Zhou","doi":"10.1016/j.im.2025.104216","DOIUrl":"10.1016/j.im.2025.104216","url":null,"abstract":"<div><div>In the rise of online labor platforms, algorithmic control has a profound impact on numerous crowdsourced workers. But although algorithmic control aims to improve performance, it also can easily cause harm to workers. To explore a reasonable range of algorithmic control, based on the job demands-resources theory, three studies were conducted with crowdsourced food delivery riders and ride-hailing drivers to test the influence of algorithmic control on their performance. Our findings demonstrate three key mechanisms: (1) algorithmic control reveals an inverted U-shaped relationship with job engagement in which moderate levels optimize worker role integration; (2) algorithm familiarity moderates this curvilinear relationship by amplifying the effects at both extremes of excessive and insufficient control; and (3) job engagement mediates the influence of algorithmic control on performance outcomes, and such a mediating role has been further moderated by workers’ familiarity with the algorithm. The findings facilitate a comprehensive understanding of the impact of algorithmic control, offering practical guidance for algorithm developers and enterprises in formulating reasonable control strategies.</div></div>","PeriodicalId":56291,"journal":{"name":"Information & Management","volume":"62 8","pages":"Article 104216"},"PeriodicalIF":8.2,"publicationDate":"2025-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144664924","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}
Zhen Shao , Rui Zhang , Jose Benitez , Lin Zhang , Jianfeng Zhang
{"title":"Not all innovations are the same: Exploring employees’ ambidextrous innovation behavior in enterprise collaboration platforms","authors":"Zhen Shao , Rui Zhang , Jose Benitez , Lin Zhang , Jianfeng Zhang","doi":"10.1016/j.im.2025.104210","DOIUrl":"10.1016/j.im.2025.104210","url":null,"abstract":"<div><div>This study employs a mixed-methods approach to investigate how the interactive features of enterprise collaboration platforms influence employees' ambidextrous innovation behavior, with a specific focus on analyzing their underlying mechanisms through the theoretical lens of job characteristics. Qualitative and quantitative studies were conducted in sequence to collect data. The results show that the track of workflow, integrated information exchange, and instant connection enhance ambidextrous innovation through the mediation of perceived job autonomy and perceived job feedback. The research findings contribute to the IS literature by conceptualizing the technology features of enterprise collaboration platforms and elucidating the mechanism through which they influence ambidextrous innovation.</div></div>","PeriodicalId":56291,"journal":{"name":"Information & Management","volume":"62 8","pages":"Article 104210"},"PeriodicalIF":8.2,"publicationDate":"2025-07-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144694474","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}
Mohammad Alamgir Hossain , Mohammed Quaddus , Shahriar Akter , Patrick Mikalef , Matthew Warren
{"title":"Trolling in social media: A deindividuation and contagion perspective","authors":"Mohammad Alamgir Hossain , Mohammed Quaddus , Shahriar Akter , Patrick Mikalef , Matthew Warren","doi":"10.1016/j.im.2025.104211","DOIUrl":"10.1016/j.im.2025.104211","url":null,"abstract":"<div><div>Trolling on social media has a profound impact on its victims, yet existing literature offers a limited understanding of the factors driving this behavior. This study applies deindividuation and contagion theories to explore the phenomenon, surveying 337 Facebook users and 275 Instagram users and analyzing the data using SEM-PLS and fsQCA methods. The SEM results indicate that digital anonymity and dispersed collectivity both directly and indirectly impact trolling behavior, mediated by a loss of self-consciousness and a diffused sense of responsibility. The fsQCA analysis reveals four distinct equifinal configurations that predict trolling behavior, one for each platform, providing new insights into the research on trolling. This study contributes to the theoretical understanding of trolling and offers practical implications for addressing this issue.</div></div>","PeriodicalId":56291,"journal":{"name":"Information & Management","volume":"62 7","pages":"Article 104211"},"PeriodicalIF":8.2,"publicationDate":"2025-07-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144621962","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":"Employee Participation in Digital Transformation: From Digitalization Sentiment to Transformation Predisposition","authors":"Kaveh Abhari","doi":"10.1016/j.im.2025.104212","DOIUrl":"10.1016/j.im.2025.104212","url":null,"abstract":"<div><div>Digital transformation extends beyond mere technological shifts in business routines, models, or domains; it encompasses the profound evolution of employees’ attitudes and behaviors. Prior research on the microfoundations of digital transformation emphasizes that the essence of transformation lies in the individuals who drive it forward. To truly unlock this potential, organizations must harmonize sweeping changes with the individual needs and professional aspirations of their workforce. Achieving this balance is crucial to mitigating resistance and ensuring successful transformation. This study offers an empirical examination of how these dynamics unfold in practice. It begins by theorizing that employee sentiment toward digitalization is a key predictor of their predispositions toward digital transformation. The findings demonstrate that positive predispositions, in turn, can significantly enhance employees’ willingness to participate in digital transformation initiatives. This study sheds light on the individual microfoundations that underpin employee participation in digital transformation, revealing that these drivers are rooted in fundamental psychological needs, transcending geographical and cultural boundaries. The findings advocate for investments in employees’ psychosocial readiness and suggest viewing digitalization projects as strategic opportunities to cultivate positive experiences and attitudes, paving the way for future transformation initiatives.</div></div>","PeriodicalId":56291,"journal":{"name":"Information & Management","volume":"62 8","pages":"Article 104212"},"PeriodicalIF":8.2,"publicationDate":"2025-07-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144621963","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":"When do Employees Perceive Technology as Stressful? A Meta-Analysis of work-related Technostress Antecedents","authors":"Magdalena Kotek , Ivana Vranjes","doi":"10.1016/j.im.2025.104203","DOIUrl":"10.1016/j.im.2025.104203","url":null,"abstract":"<div><div>Workplace technostress, a consequence of technology use at work, has garnered significant attention in recent scientific investigations. However, existing findings on technostress are often dispersed and contradictory, necessitating a systematic exploration of its contributing factors. In this study, we build on transactional stress theory to consolidate information on potential antecedents of technostressor perceptions at work: <em>techno-complexity, techno-insecurity, techno-invasion, techno-overload,</em> and <em>techno-uncertainty</em>. Our random-effects meta-analysis of 84 relevant studies, covering 44,576 employees, illustrates a distinct pattern of antecedents for different technostressors, shedding light on the diverse influences shaping employees' perceptions of technostress.</div></div>","PeriodicalId":56291,"journal":{"name":"Information & Management","volume":"62 8","pages":"Article 104203"},"PeriodicalIF":8.2,"publicationDate":"2025-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144663450","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}
Hualong Yang , Le Wang , Xin (Robert) Luo , Jiahui Mo , Dan Li
{"title":"Too good to be true? The impact of distinction badges on patient satisfaction with online healthcare services","authors":"Hualong Yang , Le Wang , Xin (Robert) Luo , Jiahui Mo , Dan Li","doi":"10.1016/j.im.2025.104209","DOIUrl":"10.1016/j.im.2025.104209","url":null,"abstract":"<div><div>Online healthcare services are increasingly recognized as a crucial element in the innovation of medical service delivery. However, these services are still in a nascent stage. The supply of doctors’ services is crucial for the survival and development of online healthcare platforms. Especially, how to motivate the service supply of doctors effectively has always been a challenge faced by online healthcare platforms. Gamification, such as distinction badges, is touted as a potential remedy for these issues. Despite the widespread implementation of distinction badges in healthcare management to motivate doctors’ behavior, their effects on patient satisfaction are not yet well-established. To explore these questions, we formulated four hypotheses based on the expectation confirmation theory and tested them through an econometric analysis and a controlled laboratory experiment. Our research revealed that distinction badges did not enhance patient satisfaction; instead, they led to a decrease. Our empirical findings suggest that doctors with high-ranking titles and those from key hospitals experienced a less negative impact from distinction badges. Conversely, doctors without such titles and from non-key hospitals faced a more pronounced negative effect. Additionally, the adverse impact of distinction badges was more significant for doctors who were more active contributors online. Our study not only contributes to the literature on decision-making for online healthcare services and gamification but also offers valuable practical recommendations for gamification designers and platform decision-makers seeking to improve patient satisfaction.</div></div>","PeriodicalId":56291,"journal":{"name":"Information & Management","volume":"62 8","pages":"Article 104209"},"PeriodicalIF":8.2,"publicationDate":"2025-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144663449","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}