Recommendation framing is an important means to uncover the “black box” of algorithmic recommendations and boost consumers’ willingness to adopt product recommendations. Grounded in cognitive fit theory, this study explores the impact of the match between recommendation framing and shopping goal specificity on consumers’ willingness to adopt product recommendations. Through three scenario-based experiments, we found that user-based framing (vs. item-based framing) stimulates stronger adoption intentions among consumers with low (vs. high) shopping goal specificity, with processing fluency mediating this effect. Moreover, consumer self-construal moderates this matching effect. These insights provide practical guidance for e-commerce platforms seeking to develop effective recommendation strategies.
{"title":"Effective e-commerce product recommendation: Matching effect between recommendation framing and consumers’ shopping goal specificity","authors":"Chubing Zhang , Wei Zheng , Xiaoxin Zhang , Tiange Li","doi":"10.1016/j.im.2025.104263","DOIUrl":"10.1016/j.im.2025.104263","url":null,"abstract":"<div><div>Recommendation framing is an important means to uncover the “black box” of algorithmic recommendations and boost consumers’ willingness to adopt product recommendations. Grounded in cognitive fit theory, this study explores the impact of the match between recommendation framing and shopping goal specificity on consumers’ willingness to adopt product recommendations. Through three scenario-based experiments, we found that user-based framing (vs. item-based framing) stimulates stronger adoption intentions among consumers with low (vs. high) shopping goal specificity, with processing fluency mediating this effect. Moreover, consumer self-construal moderates this matching effect. These insights provide practical guidance for e-commerce platforms seeking to develop effective recommendation strategies.</div></div>","PeriodicalId":56291,"journal":{"name":"Information & Management","volume":"63 1","pages":"Article 104263"},"PeriodicalIF":8.2,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145320773","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}
Pub Date : 2026-01-01Epub Date: 2025-10-02DOI: 10.1016/j.im.2025.104258
Camen Teh , Li (Lily) Liu , Chee Wei Phang
Pro-environmental behavior (PEB) is key to the protection and preservation of our environment. Our study investigates how the use of immersive technologies can be leveraged to effectively elicit such behaviors. We examined two design factors that can be incorporated in environmental messages delivered by immersive technologies, namely, 360° control and informational prompts; and how these can lead to individuals behaving pro-environmentally. Specifically, we investigate how these two factors evoke awe and empathy with nature, which we conceptualize as two self-transcendent responses – and how these subsequently drive PEB. Our study considers the attitude-behavior gap that has received much attention in prior literature, and therefore also examines the role of perceived consumer effectiveness (PCE, i.e., the belief that an individual’s action makes a difference) in the aforementioned relationships. A lab experiment approach was adopted using an immersive simulation of a degraded mountain environment, where we manipulated the two design factors to test our hypotheses. The findings of our study indicate that informational prompts can elicit empathy with nature, while 360° control elicits both awe and empathic responses. Awe was found to have directly influenced individuals’ PEB, whereas empathy with nature had a positive effect on PEB mediated by PCE. This research provides insights into the mechanisms of awe and empathy in relation to PEB, as well as the importance of PCE. Our findings also provide practical, design implications in the use of immersive technologies to encourage pro-environmental actions.
{"title":"Eliciting pro-environmental behavior with immersive technology: The roles of awe, empathy with nature, and perceived consumer effectiveness","authors":"Camen Teh , Li (Lily) Liu , Chee Wei Phang","doi":"10.1016/j.im.2025.104258","DOIUrl":"10.1016/j.im.2025.104258","url":null,"abstract":"<div><div>Pro-environmental behavior (PEB) is key to the protection and preservation of our environment. Our study investigates how the use of immersive technologies can be leveraged to effectively elicit such behaviors. We examined two design factors that can be incorporated in environmental messages delivered by immersive technologies, namely, 360° control and informational prompts; and how these can lead to individuals behaving pro-environmentally. Specifically, we investigate how these two factors evoke awe and empathy with nature, which we conceptualize as two self-transcendent responses – and how these subsequently drive PEB. Our study considers the attitude-behavior gap that has received much attention in prior literature, and therefore also examines the role of perceived consumer effectiveness (PCE, i.e., the belief that an individual’s action makes a difference) in the aforementioned relationships. A lab experiment approach was adopted using an immersive simulation of a degraded mountain environment, where we manipulated the two design factors to test our hypotheses. The findings of our study indicate that informational prompts can elicit empathy with nature, while 360° control elicits both awe and empathic responses. Awe was found to have directly influenced individuals’ PEB, whereas empathy with nature had a positive effect on PEB mediated by PCE. This research provides insights into the mechanisms of awe and empathy in relation to PEB, as well as the importance of PCE. Our findings also provide practical, design implications in the use of immersive technologies to encourage pro-environmental actions.</div></div>","PeriodicalId":56291,"journal":{"name":"Information & Management","volume":"63 1","pages":"Article 104258"},"PeriodicalIF":8.2,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145267918","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}
Pub Date : 2026-01-01Epub Date: 2025-09-28DOI: 10.1016/j.im.2025.104257
Wei Wang , Yuan Qin , Xiaohui Zheng , Jian Mou
This study investigates the impact of the cover image content orientation of crowdfunding campaigns on funding performance. Considering 19,611 projects from Indiegogo as corpus, cover image content orientation was categorized into three cases using the classical grounded theory coding process. A deep learning model was employed to classify the images. Linguistic inquiry and word count and naïve Bayes were used to quantify the emotion of the project narratives and a logit model was adopted to estimate the impact of cover image content orientation on funding performance. Both visual and nonvisual signals were incorporated into a model based on signaling theory. The results suggest that product-oriented images have a more positive effect on funding performance than other images, and narratives’ emotions promote campaign success. Furthermore, cover image content orientations with emotional narratives have a greater impact on funding performance than those with neutral narratives. Additionally, cover image content orientation has a stronger impact on funding performance for technological and innovative campaigns. This study informs the application of signaling theory in the field of crowdfunding from a visual perspective and provides practical implications for entrepreneurs seeking to create effective campaigns.
{"title":"Effect of cover image content orientation on crowdfunding performance: The role of narrative emotion and campaign nature","authors":"Wei Wang , Yuan Qin , Xiaohui Zheng , Jian Mou","doi":"10.1016/j.im.2025.104257","DOIUrl":"10.1016/j.im.2025.104257","url":null,"abstract":"<div><div>This study investigates the impact of the cover image content orientation of crowdfunding campaigns on funding performance. Considering 19,611 projects from Indiegogo as corpus, cover image content orientation was categorized into three cases using the classical grounded theory coding process. A deep learning model was employed to classify the images. Linguistic inquiry and word count and naïve Bayes were used to quantify the emotion of the project narratives and a logit model was adopted to estimate the impact of cover image content orientation on funding performance. Both visual and nonvisual signals were incorporated into a model based on signaling theory. The results suggest that product-oriented images have a more positive effect on funding performance than other images, and narratives’ emotions promote campaign success. Furthermore, cover image content orientations with emotional narratives have a greater impact on funding performance than those with neutral narratives. Additionally, cover image content orientation has a stronger impact on funding performance for technological and innovative campaigns. This study informs the application of signaling theory in the field of crowdfunding from a visual perspective and provides practical implications for entrepreneurs seeking to create effective campaigns.</div></div>","PeriodicalId":56291,"journal":{"name":"Information & Management","volume":"63 1","pages":"Article 104257"},"PeriodicalIF":8.2,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145267919","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}
Pub Date : 2026-01-01Epub Date: 2025-09-08DOI: 10.1016/j.im.2025.104252
Kadhim Hayawi , Sakib Shahriar , Sujith Samuel Mathew , Efstathios Polyzos , Kaustuv Kanti Ganguli
As concerns about economic downturns manifest in online discussions, we investigate whether sentiment extracted from social media can serve as an early warning signal for recessionary pressures. Using a dataset of Twitter (X) posts related to economic prospects, we apply a range of sentiment analysis techniques, including a lexicon and rule-based method (VADER) and deep learning approaches (GPT and BERT). We assess the relationship between online sentiment and key recession indicators, such as the yield curve and GDPNow forecasts, using a combination of econometric and machine learning methods. In addition, we perform a comparative evaluation of sentiment classification techniques, incorporating both traditional models and deep learning architectures. Our results confirm that Twitter discussions precede changes in recessionary indicators and can thus provide forward-looking insights into economic sentiment. Furthermore, the comparative analysis reveals variations in sentiment detection across different methodologies, emphasizing the importance of selecting appropriate approaches in economic forecasting.
{"title":"Diving into recession: the collective knowledge of online users as an early warning system for recessionary expectations","authors":"Kadhim Hayawi , Sakib Shahriar , Sujith Samuel Mathew , Efstathios Polyzos , Kaustuv Kanti Ganguli","doi":"10.1016/j.im.2025.104252","DOIUrl":"10.1016/j.im.2025.104252","url":null,"abstract":"<div><div>As concerns about economic downturns manifest in online discussions, we investigate whether sentiment extracted from social media can serve as an early warning signal for recessionary pressures. Using a dataset of Twitter (X) posts related to economic prospects, we apply a range of sentiment analysis techniques, including a lexicon and rule-based method (VADER) and deep learning approaches (GPT and BERT). We assess the relationship between online sentiment and key recession indicators, such as the yield curve and GDPNow forecasts, using a combination of econometric and machine learning methods. In addition, we perform a comparative evaluation of sentiment classification techniques, incorporating both traditional models and deep learning architectures. Our results confirm that Twitter discussions precede changes in recessionary indicators and can thus provide forward-looking insights into economic sentiment. Furthermore, the comparative analysis reveals variations in sentiment detection across different methodologies, emphasizing the importance of selecting appropriate approaches in economic forecasting.</div></div>","PeriodicalId":56291,"journal":{"name":"Information & Management","volume":"63 1","pages":"Article 104252"},"PeriodicalIF":8.2,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145050134","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}
Pub Date : 2026-01-01Epub Date: 2025-10-10DOI: 10.1016/j.im.2025.104264
Zhijun Yan , Manyang Zhang , Han Yang , Lin Jia , Carol Hsu
Crowdsourcing contests have become an effective tool for gathering collective wisdom to address various needs across multiple fields. In response to patients’ needs for multiple doctor opinions, certain online health communities (OHCs) have introduced medical crowdsourcing contests where patients can post questions with specific rewards, and multiple physicians can chase for the rewards by providing solutions. Although crowdsourcing contests benefit patients greatly, participation in crowdsourcing contests may undermine physicians’ performance in other service channels. To clarify this spillover effect, we empirically examine the effect of participation in crowdsourcing contests on physicians’ economics- and reputation-based performance in their core online services in OHCs. We employ staggered difference-in-differences by leveraging the expanding crowdsourcing contest participation of physicians in OHCs. Our results indicate a positive spillover effect on both economics- and reputation-based performance from participation in crowdsourcing contests. Furthermore, we find that physicians with higher professional titles, more participation intensity, and winning numbers gain more online consultations and reputation improvement from participation in crowdsourcing contests. This study offers valuable theoretical and managerial insights, providing practical solutions to both physicians and OHC managers considering participation in or launching crowdsourcing contests.
{"title":"The spillover effect of participating in crowdsourcing contests: Empirical evidence from online health communities","authors":"Zhijun Yan , Manyang Zhang , Han Yang , Lin Jia , Carol Hsu","doi":"10.1016/j.im.2025.104264","DOIUrl":"10.1016/j.im.2025.104264","url":null,"abstract":"<div><div>Crowdsourcing contests have become an effective tool for gathering collective wisdom to address various needs across multiple fields. In response to patients’ needs for multiple doctor opinions, certain online health communities (OHCs) have introduced medical crowdsourcing contests where patients can post questions with specific rewards, and multiple physicians can chase for the rewards by providing solutions. Although crowdsourcing contests benefit patients greatly, participation in crowdsourcing contests may undermine physicians’ performance in other service channels. To clarify this spillover effect, we empirically examine the effect of participation in crowdsourcing contests on physicians’ economics- and reputation-based performance in their core online services in OHCs. We employ staggered difference-in-differences by leveraging the expanding crowdsourcing contest participation of physicians in OHCs. Our results indicate a positive spillover effect on both economics- and reputation-based performance from participation in crowdsourcing contests. Furthermore, we find that physicians with higher professional titles, more participation intensity, and winning numbers gain more online consultations and reputation improvement from participation in crowdsourcing contests. This study offers valuable theoretical and managerial insights, providing practical solutions to both physicians and OHC managers considering participation in or launching crowdsourcing contests.</div></div>","PeriodicalId":56291,"journal":{"name":"Information & Management","volume":"63 1","pages":"Article 104264"},"PeriodicalIF":8.2,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145320771","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}
Pub Date : 2026-01-01Epub Date: 2025-09-25DOI: 10.1016/j.im.2025.104256
Christian Olenberger , Manfred Schoch , Lena Utz
Our ability to recognize fake news is flawed, with serious negative consequences for individuals, organizations, and society. Researchers and practitioners have developed different interventions against fake news, such as warnings and additional information, with mixed results. Yet social media users remain vulnerable to fake news because they consume information hedonically. To design more effective interventions, we must better understand how social media users process information cognitively. Drawing on dual process theory, we hypothesize that the sequence of exposure to information matters, and that it is beneficial to present interventions with warnings and additional information after exposure to fake news rather than before. We argue that questioning false information typically requires more cognitive resources than users are willing to allocate during casual browsing. In a two-week multiphase experiment, participants were exposed to fake news and interventions in different sequences. We compared the results across groups and multiple time points through statistical testing. The results show that introducing an intervention after a fake news story leads to a lower adoption of fake news into social media users’ mental models and that the fake news’s believability is then lowest. However, the effect fades over time without repeated exposure to interventions. Our findings offer new insights into how timing and cognitive effort influence the effectiveness of fake news interventions. For practitioners, we provide recommendations for designing effective interventions against fake news.
{"title":"The information processing of fake news: How intervention order influences perception over time","authors":"Christian Olenberger , Manfred Schoch , Lena Utz","doi":"10.1016/j.im.2025.104256","DOIUrl":"10.1016/j.im.2025.104256","url":null,"abstract":"<div><div>Our ability to recognize fake news is flawed, with serious negative consequences for individuals, organizations, and society. Researchers and practitioners have developed different interventions against fake news, such as warnings and additional information, with mixed results. Yet social media users remain vulnerable to fake news because they consume information hedonically. To design more effective interventions, we must better understand how social media users process information cognitively. Drawing on dual process theory, we hypothesize that the sequence of exposure to information matters, and that it is beneficial to present interventions with warnings and additional information after exposure to fake news rather than before. We argue that questioning false information typically requires more cognitive resources than users are willing to allocate during casual browsing. In a two-week multiphase experiment, participants were exposed to fake news and interventions in different sequences. We compared the results across groups and multiple time points through statistical testing. The results show that introducing an intervention after a fake news story leads to a lower adoption of fake news into social media users’ mental models and that the fake news’s believability is then lowest. However, the effect fades over time without repeated exposure to interventions. Our findings offer new insights into how timing and cognitive effort influence the effectiveness of fake news interventions. For practitioners, we provide recommendations for designing effective interventions against fake news.</div></div>","PeriodicalId":56291,"journal":{"name":"Information & Management","volume":"63 1","pages":"Article 104256"},"PeriodicalIF":8.2,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145267920","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}
Pub Date : 2026-01-01Epub Date: 2025-09-08DOI: 10.1016/j.im.2025.104251
Carmen Leong , Wilson Hua , Xiao Xiao , Jie Yu , Yawen Zhou
Value co-creation underpins the symbiotic relationships of digital ecosystems. Many IS studies have focused on sponsored co-creation facilitated by a focal firm. There is a limited understanding of how co-creation can happen in an ecosystem without a focal firm. Building on an in-depth case study, we elaborate on the theoretical notion of autonomous digital co-creation. We propose two contributions: (1) In comparison to the centralized, collaborative, and facilitated nature of sponsored co-creation, our findings reveal the nature of autonomous digital co-creation characterized as distributed, cooperative, and emergent; (2) through an ecosystem-based analysis, this study extends the predominantly dyadic focus of existing value co-creation literature.
{"title":"Value co-creation in a digital ecosystem: Exploring autonomous co-creation in a digital influencer ecosystem","authors":"Carmen Leong , Wilson Hua , Xiao Xiao , Jie Yu , Yawen Zhou","doi":"10.1016/j.im.2025.104251","DOIUrl":"10.1016/j.im.2025.104251","url":null,"abstract":"<div><div>Value co-creation underpins the symbiotic relationships of digital ecosystems. Many IS studies have focused on sponsored co-creation facilitated by a focal firm. There is a limited understanding of how co-creation can happen in an ecosystem without a focal firm. Building on an in-depth case study, we elaborate on the theoretical notion of autonomous digital co-creation. We propose two contributions: (1) In comparison to the centralized, collaborative, and facilitated nature of sponsored co-creation, our findings reveal the nature of autonomous digital co-creation characterized as distributed, cooperative, and emergent; (2) through an ecosystem-based analysis, this study extends the predominantly dyadic focus of existing value co-creation literature.</div></div>","PeriodicalId":56291,"journal":{"name":"Information & Management","volume":"63 1","pages":"Article 104251"},"PeriodicalIF":8.2,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145097000","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}
Pub Date : 2026-01-01Epub Date: 2025-10-18DOI: 10.1016/j.im.2025.104267
Xiaowei Shi , Qiang Wei , Guoqing Chen
In recent years, machine learning (ML) has been an increasingly significant role in customer dissatisfaction analysis using customer comments (CCs). Although promising, existing ML methods suffer from ineffectiveness due to the incompleteness of information obtained solely from CCs. Another type of information pertaining to professional service aspects— agent notes (ANs), introduced by the agents on behalf of enterprises—effectively complements the weakness of CCs. CCs and ANs represent evaluations of customers and agents on the same service from different perspectives, providing a comprehensive view of the service quality. However, it is challenging to directly apply ML methods to integrate CCs and ANs with complex bilateral relationships to generate explainable and actionable insights for customer dissatisfaction management.
This paper examines dissatisfaction resulting from the gap between customer expectations and delivered service quality and proposes a novel, explainable method based on domain knowledge for analyzing and tracing customer dissatisfaction through the service quality gap from bilateral CCs and ANs in a comprehensive way. Furthermore, to trace dissatisfaction in an explainable manner, an information contribution indicator measure () and inference strategies are devised to help map the potential gap dimension to the service quality dimension metrics and trace the informational links in the network. Extensive experiments reveal that the proposed XGAP method is advantageous over baseline methods in learning performance as well as explainable tracing.
{"title":"The gap matters: An explainable customer dissatisfaction tracing analysis","authors":"Xiaowei Shi , Qiang Wei , Guoqing Chen","doi":"10.1016/j.im.2025.104267","DOIUrl":"10.1016/j.im.2025.104267","url":null,"abstract":"<div><div>In recent years, machine learning (ML) has been an increasingly significant role in customer dissatisfaction analysis using customer comments (CCs). Although promising, existing ML methods suffer from ineffectiveness due to the incompleteness of information obtained solely from CCs. Another type of information pertaining to professional service aspects— agent notes (ANs), introduced by the agents on behalf of enterprises—effectively complements the weakness of CCs. CCs and ANs represent evaluations of customers and agents on the same service from different perspectives, providing a comprehensive view of the service quality. However, it is challenging to directly apply ML methods to integrate CCs and ANs with complex bilateral relationships to generate explainable and actionable insights for customer dissatisfaction management.</div><div>This paper examines dissatisfaction resulting from the gap between customer expectations and delivered service quality and proposes a novel, explainable method based on domain knowledge for analyzing and tracing customer dissatisfaction through the service quality gap from bilateral CCs and ANs in a comprehensive way. Furthermore, to trace dissatisfaction in an explainable manner, an information contribution indicator measure (<span><math><mrow><mi>I</mi><mi>n</mi><mi>f</mi></mrow></math></span>) and inference strategies are devised to help map the potential gap dimension to the service quality dimension metrics and trace the informational links in the network. Extensive experiments reveal that the proposed XGAP method is advantageous over baseline methods in learning performance as well as explainable tracing.</div></div>","PeriodicalId":56291,"journal":{"name":"Information & Management","volume":"63 1","pages":"Article 104267"},"PeriodicalIF":8.2,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145362387","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}
Pub Date : 2026-01-01Epub Date: 2025-10-21DOI: 10.1016/j.im.2025.104268
Chintha Kaluarachchi , Darshana Sedera , Matthew Warren
Cyberbullying is a growing concern, intensified by the widespread use of the Internet, social media, and mobile technologies. Features such as anonymity, impersonation, and the instantaneous reach to vast audiences enabled by these technologies further amplify the risks associated with cyberbullying. Although an extensive body of literature has examined cyberbullying, there remains a notable gap in socio-technical discourse, particularly concerning how individuals engage with social and technological environments to perpetrate cyberbullying. Specifically, the nuanced roles of technology and the dynamic interplay among offenders, victims, technologies, and forms of guardianship are rarely explored in depth within the existing literature. This study addresses these gaps by analyzing 75 court cases of cyberbullying, applying the principles of the general theory of crime (GTC) and routine activity theory (RAT) through a socio-technical lens that focuses on the offender, the victim, the technologies involved, and guardianship. The findings reveal two distinct processes by which cyberbullying emerges: “fist-to-click” and “born-digital.” These categories provide novel insights into the trajectories of adult cyberbullying and contribute to a more comprehensive understanding of the phenomenon.
{"title":"Socio-technical investigation of cyberbullying among adults: A qualitative content analysis of the legal responses to a complex social problem","authors":"Chintha Kaluarachchi , Darshana Sedera , Matthew Warren","doi":"10.1016/j.im.2025.104268","DOIUrl":"10.1016/j.im.2025.104268","url":null,"abstract":"<div><div>Cyberbullying is a growing concern, intensified by the widespread use of the Internet, social media, and mobile technologies. Features such as anonymity, impersonation, and the instantaneous reach to vast audiences enabled by these technologies further amplify the risks associated with cyberbullying. Although an extensive body of literature has examined cyberbullying, there remains a notable gap in socio-technical discourse, particularly concerning how individuals engage with social and technological environments to perpetrate cyberbullying. Specifically, the nuanced roles of technology and the dynamic interplay among offenders, victims, technologies, and forms of guardianship are rarely explored in depth within the existing literature. This study addresses these gaps by analyzing 75 court cases of cyberbullying, applying the principles of the general theory of crime (GTC) and routine activity theory (RAT) through a socio-technical lens that focuses on the offender, the victim, the technologies involved, and guardianship. The findings reveal two distinct processes by which cyberbullying emerges: “fist-to-click” and “born-digital.” These categories provide novel insights into the trajectories of adult cyberbullying and contribute to a more comprehensive understanding of the phenomenon.</div></div>","PeriodicalId":56291,"journal":{"name":"Information & Management","volume":"63 1","pages":"Article 104268"},"PeriodicalIF":8.2,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145466598","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}
Pub Date : 2026-01-01Epub Date: 2025-10-10DOI: 10.1016/j.im.2025.104262
Cheng Tao , Jin Hu , Michael Chau , Peipei Li , Daning Hu
The decision to share the copyright of non-fungible token (NFT)-associated artworks has sparked considerable debate. Copyright sharing benefits NFT collections by fostering broader public engagement in remixing and unlocking network effects, but it also undermines the exclusive rights of NFT creators. This study explores the impact of copyright sharing on the social and financial success of NFT collections. The findings show that copyright sharing increases the use of NFTs as social media profile pictures significantly and affects average sale prices positively, indicating social success and financial success, respectively. These benefits are further amplified when the artworks of the NFT collection are more likely to be remixed.
{"title":"Impact of copyright sharing on the success of non-fungible token collections","authors":"Cheng Tao , Jin Hu , Michael Chau , Peipei Li , Daning Hu","doi":"10.1016/j.im.2025.104262","DOIUrl":"10.1016/j.im.2025.104262","url":null,"abstract":"<div><div>The decision to share the copyright of non-fungible token (NFT)-associated artworks has sparked considerable debate. Copyright sharing benefits NFT collections by fostering broader public engagement in remixing and unlocking network effects, but it also undermines the exclusive rights of NFT creators. This study explores the impact of copyright sharing on the social and financial success of NFT collections. The findings show that copyright sharing increases the use of NFTs as social media profile pictures significantly and affects average sale prices positively, indicating social success and financial success, respectively. These benefits are further amplified when the artworks of the NFT collection are more likely to be remixed.</div></div>","PeriodicalId":56291,"journal":{"name":"Information & Management","volume":"63 1","pages":"Article 104262"},"PeriodicalIF":8.2,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145320774","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}
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