Pub Date : 2025-11-24DOI: 10.1016/j.im.2025.104278
Raras Kirana Wandira , Gwo-Ji Sheen , Aida Loussaief , Julian Ming Sung Cheng , Chris Zeng Wei Luo
The virtual world-based metaverse could revolutionize how individuals experience reality by extending to the physical world and creating a seamless bridge for interaction between digital and tangible realms. Virtualizing live concerts to digital format in a virtual-physical integrated metaverse environment, compared to traditional virtual settings, provides a new paradigm for participating in a more immersive and interactive digital concert. Mainly drawing upon the Cognitive Absorption Theory and complemented by the Process Virtualization Theory, this research proposes a multi-stage framework to investigate the mechanism and underlying processes related to metaverse concert participation under contingent situations. This research applies a multi-survey approach, with two sequential quantitative studies—one distributed in Indonesia using Poplite and a subsequent survey in the United States through MTurk. The consistent findings from the two studies provide robust evidence for the roles of participants’ intrinsic motivations and the characteristics of the virtualization mechanism as vital determinants to influence the virtualizability of the metaverse concert process, leading to higher concert participation intention. Furthermore, concert performance risk is proven to act as a moderator in the relationship between process virtualizability and intention.
{"title":"Concertscapes: An investigation of the mediating and moderating mechanism driving attendance intention through the metaverse platform","authors":"Raras Kirana Wandira , Gwo-Ji Sheen , Aida Loussaief , Julian Ming Sung Cheng , Chris Zeng Wei Luo","doi":"10.1016/j.im.2025.104278","DOIUrl":"10.1016/j.im.2025.104278","url":null,"abstract":"<div><div>The virtual world-based metaverse could revolutionize how individuals experience reality by extending to the physical world and creating a seamless bridge for interaction between digital and tangible realms. Virtualizing live concerts to digital format in a virtual-physical integrated metaverse environment, compared to traditional virtual settings, provides a new paradigm for participating in a more immersive and interactive digital concert. Mainly drawing upon the Cognitive Absorption Theory and complemented by the Process Virtualization Theory, this research proposes a multi-stage framework to investigate the mechanism and underlying processes related to metaverse concert participation under contingent situations. This research applies a multi-survey approach, with two sequential quantitative studies—one distributed in Indonesia using Poplite and a subsequent survey in the United States through MTurk. The consistent findings from the two studies provide robust evidence for the roles of participants’ intrinsic motivations and the characteristics of the virtualization mechanism as vital determinants to influence the virtualizability of the metaverse concert process, leading to higher concert participation intention. Furthermore, concert performance risk is proven to act as a moderator in the relationship between process virtualizability and intention.</div></div>","PeriodicalId":56291,"journal":{"name":"Information & Management","volume":"63 2","pages":"Article 104278"},"PeriodicalIF":8.2,"publicationDate":"2025-11-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145593630","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 : 2025-11-23DOI: 10.1016/j.im.2025.104275
Ziqiong Zhang , Yang Yang , Xueyan Wang , Chuxin Wang , Zili Zhang
A product’s overall rating serves as a quality indicator for prospective consumers, with the online rating system’s design playing a critical role. Yet it remains unclear how the number of attribute ratings that consumers assign informs overall ratings. To address this issue, we examined secondary data collected from online hotel reviews and conducted a randomized experiment. Results showed that consumers who provide more attribute ratings tend to give higher and less extreme overall ratings. More precisely, the presence of multiple attribute rating channels discourages consumers from transferring their evaluations of specific attributes to a product’s or service’s overall rating. Temporal distance and review photo number were found to moderate these relationships. Our research contributes to the literature by clarifying how the number of attribute ratings shapes consumers’ overall rating behavior. We offer corresponding suggestions for online sellers to develop more effective rating management strategies.
{"title":"How does the number of attribute ratings affect a product’s overall rating? Evidence from Tripadvisor","authors":"Ziqiong Zhang , Yang Yang , Xueyan Wang , Chuxin Wang , Zili Zhang","doi":"10.1016/j.im.2025.104275","DOIUrl":"10.1016/j.im.2025.104275","url":null,"abstract":"<div><div>A product’s overall rating serves as a quality indicator for prospective consumers, with the online rating system’s design playing a critical role. Yet it remains unclear how the number of attribute ratings that consumers assign informs overall ratings. To address this issue, we examined secondary data collected from online hotel reviews and conducted a randomized experiment. Results showed that consumers who provide more attribute ratings tend to give higher and less extreme overall ratings. More precisely, the presence of multiple attribute rating channels discourages consumers from transferring their evaluations of specific attributes to a product’s or service’s overall rating. Temporal distance and review photo number were found to moderate these relationships. Our research contributes to the literature by clarifying how the number of attribute ratings shapes consumers’ overall rating behavior. We offer corresponding suggestions for online sellers to develop more effective rating management strategies.</div></div>","PeriodicalId":56291,"journal":{"name":"Information & Management","volume":"63 2","pages":"Article 104275"},"PeriodicalIF":8.2,"publicationDate":"2025-11-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145583879","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 : 2025-11-16DOI: 10.1016/j.im.2025.104274
Wei Liu , Xueying Sun , Weiguo Fan , Zhengfa Yang
Online knowledge-sharing platforms (OKSPs) play an important role in enabling the participants to generate and transfer novel knowledge and obtain social support from their peers. To foster knowledge exchange between knowledge contributors and knowledge seekers, OKSPs implement various governance mechanisms, such as platform recommendations. We are interested in whether cross-side network effects (CNEs) exist on OKSPs, and how the OKSPs’ governance mechanisms affect these CNEs. In this study, we theorize knowledge-sharing processes between the contributor-side and the seeker-side, drawing on the dynamic theory of knowledge conversion. Using fine-grained longitudinal data from the Zhihu platform, we propose a vector autoregressive model (VAR) to examine the temporal dynamics of CNEs on OKSPs and the role of platform recommendations in the CNEs empirically. Our findings indicate that there are symmetrical short-run contributor-to-seeker CNEs and seeker-to-contributor CNEs. However, a temporal asymmetry is present between contributor-to-seeker CNEs and seeker-to-contributor CNEs in the long run. Specifically, we find the answers’ quantity and answers’ quality have short-run and long-run impacts on the growth of questions’ quantity, meaning that the contributor side plays a predominant role in driving the growth and evolution of OKSPs. Our findings also reveal that platform recommendations strengthen immediate and persistent growth in the number of questions and answers through the direct contributor-to-seeker and seeker-to-contributor CNEs rather than the indirect CNEs. Our study provides important theoretical implications to enrich knowledge management research from CNEs’ perspective, as well as practical insights for OKSPs in their operations to incorporate network analytics to promote participants’ engagement and knowledge exchange.
{"title":"Asymmetric cross-side network effects on online knowledge-sharing platforms and the role of platform recommendations","authors":"Wei Liu , Xueying Sun , Weiguo Fan , Zhengfa Yang","doi":"10.1016/j.im.2025.104274","DOIUrl":"10.1016/j.im.2025.104274","url":null,"abstract":"<div><div>Online knowledge-sharing platforms (OKSPs) play an important role in enabling the participants to generate and transfer novel knowledge and obtain social support from their peers. To foster knowledge exchange between knowledge contributors and knowledge seekers, OKSPs implement various governance mechanisms, such as platform recommendations. We are interested in whether cross-side network effects (CNEs) exist on OKSPs, and how the OKSPs’ governance mechanisms affect these CNEs. In this study, we theorize knowledge-sharing processes between the contributor-side and the seeker-side, drawing on the dynamic theory of knowledge conversion. Using fine-grained longitudinal data from the Zhihu platform, we propose a vector autoregressive model (VAR) to examine the temporal dynamics of CNEs on OKSPs and the role of platform recommendations in the CNEs empirically. Our findings indicate that there are symmetrical short-run contributor-to-seeker CNEs and seeker-to-contributor CNEs. However, a temporal asymmetry is present between contributor-to-seeker CNEs and seeker-to-contributor CNEs in the long run. Specifically, we find the answers’ quantity and answers’ quality have short-run and long-run impacts on the growth of questions’ quantity, meaning that the contributor side plays a predominant role in driving the growth and evolution of OKSPs. Our findings also reveal that platform recommendations strengthen immediate and persistent growth in the number of questions and answers through the direct contributor-to-seeker and seeker-to-contributor CNEs rather than the indirect CNEs. Our study provides important theoretical implications to enrich knowledge management research from CNEs’ perspective, as well as practical insights for OKSPs in their operations to incorporate network analytics to promote participants’ engagement and knowledge exchange.</div></div>","PeriodicalId":56291,"journal":{"name":"Information & Management","volume":"63 2","pages":"Article 104274"},"PeriodicalIF":8.2,"publicationDate":"2025-11-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145536027","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 : 2025-11-01DOI: 10.1016/j.im.2025.104273
Yifan Li , Christy M.K. Cheung , Yang Chen
Cyberslacking, or the non–work-related use of information technology during work hours, has emerged as an important concern for organizations and individuals, prompting the need to understand why, how, and when employees engage in this deviant workplace behavior. We develop a research model based on the transactional perspective of stress and neutralization theory and examine whether techno-invasion (i.e., the perception of being “always exposed” due to constant connectivity that blurs the desired work–life boundary) triggers a coping response (i.e., cyberslacking) through the psychological mechanism of neutralization, and whether this response affects performance outcomes (i.e., job performance). We then explore whether a team-level shared belief that it is safe to take interpersonal risks (i.e., a psychological safety climate [PSC]) serves as a cross-level boundary condition that reinforces the effect of techno-invasion. Our analysis of the data collected from a three-wave time-lagged survey of 219 employees and their team leaders across 60 work teams provides substantial support for our model. Our findings indicate that employees in teams with a strong PSC are more likely than their counterparts to adopt neutralization techniques and thus engage in cyberslacking when faced with techno-invasion, and that this can negatively affect job performance. This study calls attention to the potential psychological safety risks associated with integrating technology into the workplace. The implications for both research and practice are discussed.
{"title":"How and when does techno-invasion lead to cyberslacking and decreased performance? The roles of neutralization and a psychological safety climate","authors":"Yifan Li , Christy M.K. Cheung , Yang Chen","doi":"10.1016/j.im.2025.104273","DOIUrl":"10.1016/j.im.2025.104273","url":null,"abstract":"<div><div>Cyberslacking, or the non–work-related use of information technology during work hours, has emerged as an important concern for organizations and individuals, prompting the need to understand why, how, and when employees engage in this deviant workplace behavior. We develop a research model based on the transactional perspective of stress and neutralization theory and examine whether techno-invasion (i.e., the perception of being “always exposed” due to constant connectivity that blurs the desired work–life boundary) triggers a coping response (i.e., cyberslacking) through the psychological mechanism of neutralization, and whether this response affects performance outcomes (i.e., job performance). We then explore whether a team-level shared belief that it is safe to take interpersonal risks (i.e., a psychological safety climate [PSC]) serves as a cross-level boundary condition that reinforces the effect of techno-invasion. Our analysis of the data collected from a three-wave time-lagged survey of 219 employees and their team leaders across 60 work teams provides substantial support for our model. Our findings indicate that employees in teams with a strong PSC are more likely than their counterparts to adopt neutralization techniques and thus engage in cyberslacking when faced with techno-invasion, and that this can negatively affect job performance. This study calls attention to the potential psychological safety risks associated with integrating technology into the workplace. The implications for both research and practice are discussed.</div></div>","PeriodicalId":56291,"journal":{"name":"Information & Management","volume":"63 1","pages":"Article 104273"},"PeriodicalIF":8.2,"publicationDate":"2025-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145424058","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 : 2025-10-31DOI: 10.1016/j.im.2025.104269
Lidong Wu , Qingyun Wang , He Jin , Dahui Li
By integrating institutional theory and resource-based theory, this study develops a research framework to examine the impact of digital entrants on the digital transformation of incumbents under various corporate governance scenarios. Utilizing panel data from 3712 Chinese A-share listed companies from 2011 to 2022, the results indicate that the emergence of digital entrants prompted incumbents to embrace digital transformation. Moreover, this relationship was moderated by four key corporate governance factors. Specifically, the centrality of shareholder networks and ownership concentration positively influenced the impact of digital entrants on digital transformation. Conversely, board diversity and the traditional technology background of the top management team had a negative moderating effect on this relationship. These findings enhance our understanding of how corporate governance differentially affects digital transformation and provide valuable guidance for incumbents in their digital transformation endeavors.
{"title":"How do digital entrants affect the digital transformation of incumbents? Differential effects of corporate governance factors","authors":"Lidong Wu , Qingyun Wang , He Jin , Dahui Li","doi":"10.1016/j.im.2025.104269","DOIUrl":"10.1016/j.im.2025.104269","url":null,"abstract":"<div><div>By integrating institutional theory and resource-based theory, this study develops a research framework to examine the impact of digital entrants on the digital transformation of incumbents under various corporate governance scenarios. Utilizing panel data from 3712 Chinese A-share listed companies from 2011 to 2022, the results indicate that the emergence of digital entrants prompted incumbents to embrace digital transformation. Moreover, this relationship was moderated by four key corporate governance factors. Specifically, the centrality of shareholder networks and ownership concentration positively influenced the impact of digital entrants on digital transformation. Conversely, board diversity and the traditional technology background of the top management team had a negative moderating effect on this relationship. These findings enhance our understanding of how corporate governance differentially affects digital transformation and provide valuable guidance for incumbents in their digital transformation endeavors.</div></div>","PeriodicalId":56291,"journal":{"name":"Information & Management","volume":"63 1","pages":"Article 104269"},"PeriodicalIF":8.2,"publicationDate":"2025-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145412260","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 : 2025-10-31DOI: 10.1016/j.im.2025.104271
Gloria Hui Wen Liu , Cecil Eng Huang Chua , Neil Chueh-An Lee , Jenny Hua-Jen Wu
Increasingly, businesses collaborate with influencers and content creators (the source) to advertise on social media, with social media users being exposed to an environment saturated with unsolicited advertisements. With social contacts remaining the most trusted advertisement sources, users’ passing of such advertisements helps their dissemination and creates a specific kind of electronic word of mouth called information passing. Information passing involves users forwarding advertisements about products/services to someone else. Prior studies have found at least three factors influence information passing, including value homophily (similarity with the source as perceived by users), rational appeal (information about how a product can meet users’ utilitarian needs and increase personal gains), and emotional appeal (information about a product’s esthetic, pleasurable, and hedonic benefits to stir up positive feelings). There is some debate as to how these three factors interact to influence information passing. We propose, compare, and test three models. The direct model posits all three as standalone factors influencing users’ advertisement passing. The moderation model postulates value homophily interacts with rational and emotional appeal. The mediation model posits value homophily is caused by rational and emotional appeal. Our model comparison was performed using data collected from 412 social media users randomly exposed to a uniquely manipulated advertisement with an integrated survey via email. Our results demonstrate that although the direct and moderation model are significant, the direct model is a more parsimonious framework and overall better for explaining and predicting users’ information passing without incurring unnecessary complexity. Theoretical and practical implications are discussed.
{"title":"The impact of value homophily, rational and emotional persuasion on information passing of social media advertisements: A model comparison approach","authors":"Gloria Hui Wen Liu , Cecil Eng Huang Chua , Neil Chueh-An Lee , Jenny Hua-Jen Wu","doi":"10.1016/j.im.2025.104271","DOIUrl":"10.1016/j.im.2025.104271","url":null,"abstract":"<div><div>Increasingly, businesses collaborate with influencers and content creators (the source) to advertise on social media, with social media users being exposed to an environment saturated with unsolicited advertisements. With social contacts remaining the most trusted advertisement sources, users’ passing of such advertisements helps their dissemination and creates a specific kind of electronic word of mouth called information passing. Information passing involves users forwarding advertisements about products/services to someone else. Prior studies have found at least three factors influence information passing, including value homophily (similarity with the source as perceived by users), rational appeal (information about how a product can meet users’ utilitarian needs and increase personal gains), and emotional appeal (information about a product’s esthetic, pleasurable, and hedonic benefits to stir up positive feelings). There is some debate as to how these three factors interact to influence information passing. We propose, compare, and test three models. The direct model posits all three as standalone factors influencing users’ advertisement passing. The moderation model postulates value homophily interacts with rational and emotional appeal. The mediation model posits value homophily is caused by rational and emotional appeal. Our model comparison was performed using data collected from 412 social media users randomly exposed to a uniquely manipulated advertisement with an integrated survey via email. Our results demonstrate that although the direct and moderation model are significant, the direct model is a more parsimonious framework and overall better for explaining and predicting users’ information passing without incurring unnecessary complexity. Theoretical and practical implications are discussed.</div></div>","PeriodicalId":56291,"journal":{"name":"Information & Management","volume":"63 1","pages":"Article 104271"},"PeriodicalIF":8.2,"publicationDate":"2025-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145412255","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 : 2025-10-30DOI: 10.1016/j.im.2025.104270
Yuling Xie , Quanwu Zhao , Heshan Sun
Knowledge co-production plays a pivotal role in online innovation communities by enabling collaborative knowledge generation. It often starts with an initial responder answering a question, and the answer is then refined by other modifiers. Operating under cognitive constraints, users cannot feasibly engage with every collaborative opportunity that arises. Yet, how they prioritize certain tasks over others—and what drives such task evaluation—remains theoretically underexplored. In this study, we introduce a novel construct, namely Expertise-Task Distance (ETD), to capture the discrepancy between a user’s professional expertise and the knowledge embedded in a task. Distinguishing between the Initial Responder’s ETD (IR_ETD) and Modifier’s ETD (M_ETD), we build a theoretical model grounded in expectancy-valence theory to explore how ETDs shape modifiers’ motivation to engage in knowledge co-production, particularly through two mechanisms: the opportunity to contribute (expectancy) and the benefits from contribution (valence). We empirically validate the research model with a dataset of 89,714 answer posts from Stack Overflow. The results reveal a quadratic (inverted U-shaped) relationship between IR_ETD and modifiers’ engagement in knowledge co-production, with maximum collaboration occurring at moderate IR_ETD levels. Furthermore, M_ETD has a direct negative effect on such engagement and negatively moderates the quadratic relationship between IR_ETD and knowledge co-production. Last, our findings demonstrate that knowledge co-production significantly enhances knowledge quality, underscoring the value of collaboration. These insights provide valuable implications for IS research and practice.
{"title":"On the impact of expertise-task distance in an online innovation community","authors":"Yuling Xie , Quanwu Zhao , Heshan Sun","doi":"10.1016/j.im.2025.104270","DOIUrl":"10.1016/j.im.2025.104270","url":null,"abstract":"<div><div>Knowledge co-production plays a pivotal role in online innovation communities by enabling collaborative knowledge generation. It often starts with an initial responder answering a question, and the answer is then refined by other modifiers. Operating under cognitive constraints, users cannot feasibly engage with every collaborative opportunity that arises. Yet, how they prioritize certain tasks over others—and what drives such task evaluation—remains theoretically underexplored. In this study, we introduce a novel construct, namely Expertise-Task Distance (ETD), to capture the discrepancy between a user’s professional expertise and the knowledge embedded in a task. Distinguishing between the <em>Initial Responder’s</em> ETD (IR_ETD) and <em>Modifier’s</em> ETD (M_ETD), we build a theoretical model grounded in expectancy-valence theory to explore how ETDs shape modifiers’ motivation to engage in knowledge co-production, particularly through two mechanisms: the opportunity to contribute (expectancy) and the benefits from contribution (valence). We empirically validate the research model with a dataset of 89,714 answer posts from Stack Overflow. The results reveal a quadratic (inverted U-shaped) relationship between IR_ETD and modifiers’ engagement in knowledge co-production, with maximum collaboration occurring at moderate IR_ETD levels. Furthermore, M_ETD has a direct negative effect on such engagement and negatively moderates the quadratic relationship between IR_ETD and knowledge co-production. Last, our findings demonstrate that knowledge co-production significantly enhances knowledge quality, underscoring the value of collaboration. These insights provide valuable implications for IS research and practice.</div></div>","PeriodicalId":56291,"journal":{"name":"Information & Management","volume":"63 1","pages":"Article 104270"},"PeriodicalIF":8.2,"publicationDate":"2025-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145405098","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 : 2025-10-30DOI: 10.1016/j.im.2025.104272
Sarah Bankins , Andrew Weaver , Mauricio Marrone , Simon Lloyd D. Restubog , Sang Eun Woo
The implications of artificial intelligence (AI) for work are significant and diverse, yet our understanding of its drivers remains siloed. This is partly due to a fragmented understanding of the AI phenomenon, its examination across diverse disciplines, and the contingent nature of its effects. We aim to help address these issues via two objectives. First, we explore the landscape of research by systematically reviewing how organizational science subdisciplines studying AI conceptualize, characterize, and investigate AI at work and then evaluate how this scholarship clarifies and contextualizes the phenomenon. By examining indicators of these dimensions, we identify distinct clusters of research that represent what we label as "application-orientation" and "generalized-orientation" categories. Comparatively, application-orientation research was the most likely to either define AI’s capabilities concretely or to situate their assessments within a specific function or industry, was less likely to characterize AI as a radically or wholly new and disruptive technology, less likely to contain claims regarding widespread technological unemployment resulting from AI, and less likely to focus on the negative (compared to the positive) outcomes of AI use for workers. Comparatively, generalized-orientation research was less likely to reference AI’s concrete capabilities or situate their analyses in a specific industry context, tended to be less empirical, and was more likely to position AI as radically disruptive or to focus on negative worker outcomes. Second, we seek to add to this research landscape by proposing an illustrative, interdisciplinary multilevel framework that suggests pathways toward balanced, multilevel assessments of the phenomenon.
{"title":"Artificial intelligence at work: A phenomenon-based interdisciplinary review and groundwork for multilevel scholarship","authors":"Sarah Bankins , Andrew Weaver , Mauricio Marrone , Simon Lloyd D. Restubog , Sang Eun Woo","doi":"10.1016/j.im.2025.104272","DOIUrl":"10.1016/j.im.2025.104272","url":null,"abstract":"<div><div>The implications of artificial intelligence (AI) for work are significant and diverse, yet our understanding of its drivers remains siloed. This is partly due to a fragmented understanding of the AI phenomenon, its examination across diverse disciplines, and the contingent nature of its effects. We aim to help address these issues via two objectives. First, we <em>explore</em> the landscape of research by systematically reviewing how organizational science subdisciplines studying AI conceptualize, characterize, and investigate AI at work and then evaluate how this scholarship <em>clarifies</em> and <em>contextualizes</em> the phenomenon. By examining indicators of these dimensions, we identify distinct clusters of research that represent what we label as \"application-orientation\" and \"generalized-orientation\" categories. Comparatively, application-orientation research was the most likely to either define AI’s capabilities concretely or to situate their assessments within a specific function or industry, was less likely to characterize AI as a radically or wholly new and disruptive technology, less likely to contain claims regarding widespread technological unemployment resulting from AI, and less likely to focus on the negative (compared to the positive) outcomes of AI use for workers. Comparatively, generalized-orientation research was less likely to reference AI’s concrete capabilities or situate their analyses in a specific industry context, tended to be less empirical, and was more likely to position AI as radically disruptive or to focus on negative worker outcomes. Second, we seek to <em>add</em> to this research landscape by proposing an illustrative, interdisciplinary multilevel framework that suggests pathways toward balanced, multilevel assessments of the phenomenon.</div></div>","PeriodicalId":56291,"journal":{"name":"Information & Management","volume":"63 2","pages":"Article 104272"},"PeriodicalIF":8.2,"publicationDate":"2025-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145404627","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 : 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":"2025-10-21","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 : 2025-10-19DOI: 10.1016/j.im.2025.104266
Anqi Zhao , Qian Tang
Social endorsements broadcast endorsers’ positive attitudes toward content or products, especially to their social ties. Original endorsements created by endorsers can be propagated further as reposted endorsements. Both are important marketing tools to increase content consumption, yet their differences are unclear. This study compares the impacts of original and reposted endorsements on content consumption and their contingencies on the endorsers’ network characteristics. Using data on social endorsements of YouTube videos on Twitter, we find that original endorsements (i.e., original tweets) significantly boost content consumption, and the effect is positively moderated by the endorsers’ network size but not their tie strength. In contrast, reposted endorsements (i.e., retweets) drive content consumption only when the endorsers have a sufficiently large number of social ties or a high percentage of weak ties. Furthermore, their endorsement effects differ regarding their contingencies on the endorsement message and the endorsed content. Specifically, original endorsements are more effective when the endorsement messages demonstrate higher cognitive effort, whereas the impact of reposted endorsements does not depend on the endorsement messages created by original endorsers. Additionally, the impact of original endorsements is more pronounced for content with higher user engagement, while reposted endorsements are more effective for content with lower user engagement. Our findings provide theoretical contributions and practical implications for consumer behavior and platform operations.
{"title":"Impact of original versus reposted social endorsements on content consumption: The moderating role of Endorsers’ network characteristics","authors":"Anqi Zhao , Qian Tang","doi":"10.1016/j.im.2025.104266","DOIUrl":"10.1016/j.im.2025.104266","url":null,"abstract":"<div><div>Social endorsements broadcast endorsers’ positive attitudes toward content or products, especially to their social ties. Original endorsements created by endorsers can be propagated further as reposted endorsements. Both are important marketing tools to increase content consumption, yet their differences are unclear. This study compares the impacts of original and reposted endorsements on content consumption and their contingencies on the endorsers’ network characteristics. Using data on social endorsements of YouTube videos on Twitter, we find that original endorsements (i.e., original tweets) significantly boost content consumption, and the effect is positively moderated by the endorsers’ network size but not their tie strength. In contrast, reposted endorsements (i.e., retweets) drive content consumption only when the endorsers have a sufficiently large number of social ties or a high percentage of weak ties. Furthermore, their endorsement effects differ regarding their contingencies on the endorsement message and the endorsed content. Specifically, original endorsements are more effective when the endorsement messages demonstrate higher cognitive effort, whereas the impact of reposted endorsements does not depend on the endorsement messages created by original endorsers. Additionally, the impact of original endorsements is more pronounced for content with higher user engagement, while reposted endorsements are more effective for content with lower user engagement. Our findings provide theoretical contributions and practical implications for consumer behavior and platform operations.</div></div>","PeriodicalId":56291,"journal":{"name":"Information & Management","volume":"63 1","pages":"Article 104266"},"PeriodicalIF":8.2,"publicationDate":"2025-10-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145362386","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}