Pub Date : 2026-03-01Epub Date: 2026-01-03DOI: 10.1016/j.im.2026.104301
Anne Zöll , Anjuli Franz , Ofir Turel
Previous research has emphasized online decisions by individual owners about disclosure of private information. Less is known about the disclosure of co-owned information by multiple owners (e.g., romantic partners) in digital environments, despite such sharing being common and risky. We posit that in such contexts, individuals’ decisions to share co-owned information are shaped not only by their self-centered privacy concerns and perceived benefits, but also by shared (e.g., dyadic) privacy norms. These norms, we posit, act beyond individual-level, self-centered privacy reflections in two significant ways: (1) They directly influence co-owned information disclosure and (2) they influence the weights assigned to individual privacy concerns. We further theorize that dyadic privacy norm accessibility is impacted by social identity salience, which can be manipulated through priming. The findings based on a realistic paradigm largely support our assertions but also produce surprising results. They highlight the need for further study of the role of dyadic privacy norms and social identities in multilevel privacy management.
{"title":"Dyadic privacy management: The influence of dyadic privacy norms on the disclosure of co-owned information in romantic relationships","authors":"Anne Zöll , Anjuli Franz , Ofir Turel","doi":"10.1016/j.im.2026.104301","DOIUrl":"10.1016/j.im.2026.104301","url":null,"abstract":"<div><div>Previous research has emphasized online decisions by individual owners about disclosure of private information. Less is known about the disclosure of co-owned information by multiple owners (e.g., romantic partners) in digital environments, despite such sharing being common and risky. We posit that in such contexts, individuals’ decisions to share co-owned information are shaped not only by their self-centered privacy concerns and perceived benefits, but also by shared (e.g., dyadic) privacy norms. These norms, we posit, act beyond individual-level, self-centered privacy reflections in two significant ways: (1) They directly influence co-owned information disclosure and (2) they influence the weights assigned to individual privacy concerns. We further theorize that dyadic privacy norm accessibility is impacted by social identity salience, which can be manipulated through priming. The findings based on a realistic paradigm largely support our assertions but also produce surprising results. They highlight the need for further study of the role of dyadic privacy norms and social identities in multilevel privacy management.</div></div>","PeriodicalId":56291,"journal":{"name":"Information & Management","volume":"63 2","pages":"Article 104301"},"PeriodicalIF":8.2,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145893714","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}
Crowdfunding, initially designed for individuals and entrepreneurs to gather small-scale investments for profit-oriented ventures, has evolved into a valuable platform for nonprofit organizations and individuals to raise funds for diverse causes. In online charitable crowdfunding, fundraisers often rely on compelling project narratives to capture donors' attention and drive contributions. Despite their importance, prior research on textual features has largely overlooked the role of external resource allocation signals in reshaping donors’ narrative expectations, which in turn influence their response to textual messages. This oversight limits our understanding of why identical narrative strategies generate heterogeneous persuasive effects across contexts. We investigate the effectiveness of project narratives in driving donor contributions empirically and further bridge this gap by examining how resource allocation signals interact with narrative appeals to shape donors’ decision-making behavior. Using a unique longitudinal dataset from a prominent United States-based charitable crowdfunding platform, we provide causal evidence and identify the mechanisms underlying the effects of project narration on donor contributions. Our findings reveal that rational appeals in project narratives significantly enhance donor contributions, while emotional appeals tend to reduce them. Additionally, value expectations, formed by both anticipated and realized resource signals, influence donors’ normative language expectations. These expectations moderate the effects of appeals, weakening the impact of rational appeals while amplifying the effectiveness of emotional appeals. These insights provide valuable implications for crowdfunding stakeholders, offering practical guidance to fundraisers crafting effective narratives, donors evaluating projects, and platform managers optimizing fundraising outcomes.
{"title":"The persuasive art of linguistics: an empirical study of project narration and donors’ contributions in the online charitable crowdfunding market","authors":"Hailiang Huang , Yanhong Li , Liangfei Qiu , Shengsheng Xiao , Xiaorong Zhang","doi":"10.1016/j.im.2025.104298","DOIUrl":"10.1016/j.im.2025.104298","url":null,"abstract":"<div><div>Crowdfunding, initially designed for individuals and entrepreneurs to gather small-scale investments for profit-oriented ventures, has evolved into a valuable platform for nonprofit organizations and individuals to raise funds for diverse causes. In online charitable crowdfunding, fundraisers often rely on compelling project narratives to capture donors' attention and drive contributions. Despite their importance, prior research on textual features has largely overlooked the role of external resource allocation signals in reshaping donors’ narrative expectations, which in turn influence their response to textual messages. This oversight limits our understanding of why identical narrative strategies generate heterogeneous persuasive effects across contexts. We investigate the effectiveness of project narratives in driving donor contributions empirically and further bridge this gap by examining how resource allocation signals interact with narrative appeals to shape donors’ decision-making behavior. Using a unique longitudinal dataset from a prominent United States-based charitable crowdfunding platform, we provide causal evidence and identify the mechanisms underlying the effects of project narration on donor contributions. Our findings reveal that rational appeals in project narratives significantly enhance donor contributions, while emotional appeals tend to reduce them. Additionally, value expectations, formed by both anticipated and realized resource signals, influence donors’ normative language expectations. These expectations moderate the effects of appeals, weakening the impact of rational appeals while amplifying the effectiveness of emotional appeals. These insights provide valuable implications for crowdfunding stakeholders, offering practical guidance to fundraisers crafting effective narratives, donors evaluating projects, and platform managers optimizing fundraising outcomes.</div></div>","PeriodicalId":56291,"journal":{"name":"Information & Management","volume":"63 2","pages":"Article 104298"},"PeriodicalIF":8.2,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145844733","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 : 2026-03-01Epub Date: 2025-12-11DOI: 10.1016/j.im.2025.104290
Rajiv Sabherwal , Mary M. Dunaway
Emotional intelligence (EI) plays a crucial role in managing emotions within software development (SD) teams, which often face challenges such as stress and anxiety. EI can enhance knowledge sharing (KS) and team performance, contributing to the success of SD projects. This paper examines EI in terms of four aspects – awareness and management of own and others’ emotions – and investigates how they affect KS and team performance. The study is based on survey data from 357 individuals in 86 teams at seven large companies in the United States. Multilevel modeling, specifically using Generalized Structural Equation Modeling in Stata 19, with individuals nested within teams and teams nested within companies, is used to test the theoretical model. Results indicate that awareness of both own and others’ emotions facilitates management of both own and others’ emotions. Management of others’ emotions facilitates both KS and team performance. Surprisingly, awareness of own emotions also facilitates both aspects, whereas management of own emotions affects neither. Finally, awareness of others’ emotions inhibits knowledge sharing. The paper’s findings are limited by its focus on large companies in the United States and cross-sectional design and should be replicated in other settings. Despite these limitations, the paper’s expected as well as unexpected findings have potential theoretical and practical implications.
{"title":"Elevating the performance of software development teams by leveraging emotional intelligence through improved knowledge sharing","authors":"Rajiv Sabherwal , Mary M. Dunaway","doi":"10.1016/j.im.2025.104290","DOIUrl":"10.1016/j.im.2025.104290","url":null,"abstract":"<div><div>Emotional intelligence (EI) plays a crucial role in managing emotions within software development (SD) teams, which often face challenges such as stress and anxiety. EI can enhance knowledge sharing (KS) and team performance, contributing to the success of SD projects. This paper examines EI in terms of four aspects – awareness and management of own and others’ emotions – and investigates how they affect KS and team performance. The study is based on survey data from 357 individuals in 86 teams at seven large companies in the United States. Multilevel modeling, specifically using Generalized Structural Equation Modeling in Stata 19, with individuals nested within teams and teams nested within companies, is used to test the theoretical model. Results indicate that awareness of both own and others’ emotions facilitates management of both own and others’ emotions. Management of others’ emotions facilitates both KS and team performance. Surprisingly, awareness of own emotions also facilitates both aspects, whereas management of own emotions affects neither. Finally, awareness of others’ emotions inhibits knowledge sharing. The paper’s findings are limited by its focus on large companies in the United States and cross-sectional design and should be replicated in other settings. Despite these limitations, the paper’s expected as well as unexpected findings have potential theoretical and practical implications.</div></div>","PeriodicalId":56291,"journal":{"name":"Information & Management","volume":"63 2","pages":"Article 104290"},"PeriodicalIF":8.2,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145732106","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 : 2026-03-01Epub 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":"2026-03-01","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 : 2026-03-01Epub Date: 2025-12-19DOI: 10.1016/j.im.2025.104295
Min Yu, Mingyue Zhang, Baojun Ma
The challenge of encouraging knowledge contribution has led many knowledge-sharing communities to implement incentive mechanisms. While rule-based incentives are widely used, bounty awards—a novel form that allows knowledge seekers to set customized reward amounts and is subject to a fixed expiration period—remain underexplored. We investigate how these two features of bounty awards influence knowledge contribution, drawing on the idea that bounty amount signals both reward attractiveness and question difficulty, while expiration deadline introduces temporal scarcity. Using data from Stack Overflow, we assess outcomes in terms of answer quantity, average quality, and problem-solving likelihood. We find that offering a bounty award increases the quantity and quality of answers, as well as the likelihood of problem-solving. However, the bounty amount yields diminishing marginal returns in answer quantity, while it has a positive and linear effect on the relevance to the question. Meanwhile, it exhibits an inverted U-shaped effect on problem-solving likelihood and answer scores—possibly due to the perceived difficulty of higher-reward questions. Temporal scarcity exhibits a U-shaped relationship with both quantity and solving likelihood, while the U-shaped pattern in answer quality is only partially supported. We also uncover insightful heterogeneous effects, demonstrating that high-quality or under-answered questions may intensify the impact of bounty amount on answer volume, while low-reputation contributors exhibit greater sensitivity to temporal scarcity regarding answer volume. Our study advances the understanding of incentive design in knowledge-sharing communities by theorizing and empirically validating how bounty awards—with their seeker-customized amounts and time-sensitive nature—shape contributor behavior.
{"title":"Answers are wanted: The role of bounty amount and temporal scarcity in knowledge contribution","authors":"Min Yu, Mingyue Zhang, Baojun Ma","doi":"10.1016/j.im.2025.104295","DOIUrl":"10.1016/j.im.2025.104295","url":null,"abstract":"<div><div>The challenge of encouraging knowledge contribution has led many knowledge-sharing communities to implement incentive mechanisms. While rule-based incentives are widely used, bounty awards—a novel form that allows knowledge seekers to set customized reward amounts and is subject to a fixed expiration period—remain underexplored. We investigate how these two features of bounty awards influence knowledge contribution, drawing on the idea that bounty amount signals both reward attractiveness and question difficulty, while expiration deadline introduces temporal scarcity. Using data from Stack Overflow, we assess outcomes in terms of answer quantity, average quality, and problem-solving likelihood. We find that offering a bounty award increases the quantity and quality of answers, as well as the likelihood of problem-solving. However, the bounty amount yields diminishing marginal returns in answer quantity, while it has a positive and linear effect on the relevance to the question. Meanwhile, it exhibits an inverted U-shaped effect on problem-solving likelihood and answer scores—possibly due to the perceived difficulty of higher-reward questions. Temporal scarcity exhibits a U-shaped relationship with both quantity and solving likelihood, while the U-shaped pattern in answer quality is only partially supported. We also uncover insightful heterogeneous effects, demonstrating that high-quality or under-answered questions may intensify the impact of bounty amount on answer volume, while low-reputation contributors exhibit greater sensitivity to temporal scarcity regarding answer volume. Our study advances the understanding of incentive design in knowledge-sharing communities by theorizing and empirically validating how bounty awards—with their seeker-customized amounts and time-sensitive nature—shape contributor behavior.</div></div>","PeriodicalId":56291,"journal":{"name":"Information & Management","volume":"63 2","pages":"Article 104295"},"PeriodicalIF":8.2,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145786134","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}
This study examines how facial shape, as an anthropomorphic cue, influences consumers' acceptance of investment advice from robo-advisors. Results from three studies demonstrate that a square facial shape of the robo-advisors leads to a higher intention to accept investment advice compared to a round shape. This effect is mediated by perceived competence. Additionally, the social role and algorithm transparency moderate the relationship between facial shape and perceived competence. These findings contribute to our understanding of consumers' social cognition of facial shape influencing their acceptance of robo-advisors’ investment recommendations and advance knowledge on anthropomorphic and communication cues in the field of robo-advisory services.
{"title":"Round versus square: Exploring the influence of facial shape in robo-advisors on consumer acceptance of investment advice","authors":"Zhongpeng Cao , Kexin Yu , Lijun Guo , Yanyan Zhang","doi":"10.1016/j.im.2025.104291","DOIUrl":"10.1016/j.im.2025.104291","url":null,"abstract":"<div><div>This study examines how facial shape, as an anthropomorphic cue, influences consumers' acceptance of investment advice from robo-advisors. Results from three studies demonstrate that a square facial shape of the robo-advisors leads to a higher intention to accept investment advice compared to a round shape. This effect is mediated by perceived competence. Additionally, the social role and algorithm transparency moderate the relationship between facial shape and perceived competence. These findings contribute to our understanding of consumers' social cognition of facial shape influencing their acceptance of robo-advisors’ investment recommendations and advance knowledge on anthropomorphic and communication cues in the field of robo-advisory services.</div></div>","PeriodicalId":56291,"journal":{"name":"Information & Management","volume":"63 2","pages":"Article 104291"},"PeriodicalIF":8.2,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145790777","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 : 2026-03-01Epub Date: 2025-11-24DOI: 10.1016/j.im.2025.104280
Xuequn Wang , Xiaolin Lin , Bin Shao
Social commerce continues to grow as a channel for firms to engage with consumers. However, few studies have attempted to provide a comprehensive understanding of the role of customer engagement in generating business outcomes. We utilize a sequential mixed methods design and develop a model illustrating the mechanism through which social commerce generates business outcomes via customer engagement based on the structure–conduct–outcome (SCO) framework from the consumer perspective. We use a qualitative study to conceptualize and develop a contextualized structure, consumer conduct, and outcomes in the context of social commerce. We collected data from American consumers using three rounds of surveys and used quantitative analysis to validate our research. The results show that social ties and social media commitment increase brand community commitment, which is positively related to both social media brand recommendation and brand community interaction (two important types of customer engagement). Accordingly, consumers’ double adoption of social commerce leads to brand commitment, in turn affecting brand loyalty and word of mouth. Our study provides an enhanced understanding of customer engagement in social commerce by validating the SCO framework and integrating the dual model of environmental perception and double adoption. It delivers practical insights into how social commerce can be used as a strategic tool for gaining business benefits.
{"title":"Social commerce model for business outcomes: Validated structure–conduct–outcome framework using mixed methods design","authors":"Xuequn Wang , Xiaolin Lin , Bin Shao","doi":"10.1016/j.im.2025.104280","DOIUrl":"10.1016/j.im.2025.104280","url":null,"abstract":"<div><div>Social commerce continues to grow as a channel for firms to engage with consumers. However, few studies have attempted to provide a comprehensive understanding of the role of customer engagement in generating business outcomes. We utilize a sequential mixed methods design and develop a model illustrating the mechanism through which social commerce generates business outcomes via customer engagement based on the structure–conduct–outcome (SCO) framework from the consumer perspective. We use a qualitative study to conceptualize and develop a contextualized structure, consumer conduct, and outcomes in the context of social commerce. We collected data from American consumers using three rounds of surveys and used quantitative analysis to validate our research. The results show that social ties and social media commitment increase brand community commitment, which is positively related to both social media brand recommendation and brand community interaction (two important types of customer engagement). Accordingly, consumers’ double adoption of social commerce leads to brand commitment, in turn affecting brand loyalty and word of mouth. Our study provides an enhanced understanding of customer engagement in social commerce by validating the SCO framework and integrating the dual model of environmental perception and double adoption. It delivers practical insights into how social commerce can be used as a strategic tool for gaining business benefits.</div></div>","PeriodicalId":56291,"journal":{"name":"Information & Management","volume":"63 2","pages":"Article 104280"},"PeriodicalIF":8.2,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145593657","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 : 2026-03-01Epub 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":"2026-03-01","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 : 2026-03-01Epub Date: 2025-12-14DOI: 10.1016/j.im.2025.104292
Jen-Her Wu , Tzyh-Lih Hsia , Jia-Zhen Huo , Simon Robinson , Kwok-Kee Wei
With firms increasingly collaborating to maximize value creation opportunities in digital supply chains, a clear understanding of the foundations for value creation activities must be acquired. The relational view proposes a set of value creation determinants that can enhance interfirm competitive advantages. This research identifies sources of relational value based on relational view theory, namely platform alignment, process synchronization, knowledge sharing, and governance; we also develop an explanatory model for the relationships among these factors. Survey data collected from 230 high-tech manufacturing companies in China and Taiwan reveal several findings: (a) Platform alignment and governance affect collaboration activities directly: process synchronization and knowledge sharing. Moreover, platform alignment partially mediates the relationship between governance and these two collaborative activities. (b) Process synchronization and knowledge sharing mediate the relationship between platform alignment and relational value. (c) Governance has a direct effect on platform alignment. These findings support the relational view, indicating that the four determinants of value creation contribute to relational value. They also recognize that governance and platform alignment are two determinants of creating relational value through interfirm collaborations. By understanding the relationships, firms can effectively leverage information technology platforms and governance mechanisms to improve interfirm collaborations and ultimately create relational value in digital supply chains.
{"title":"Effects of information technology platforms and governance on relational value creation in digital supply chains","authors":"Jen-Her Wu , Tzyh-Lih Hsia , Jia-Zhen Huo , Simon Robinson , Kwok-Kee Wei","doi":"10.1016/j.im.2025.104292","DOIUrl":"10.1016/j.im.2025.104292","url":null,"abstract":"<div><div>With firms increasingly collaborating to maximize value creation opportunities in digital supply chains, a clear understanding of the foundations for value creation activities must be acquired. The relational view proposes a set of value creation determinants that can enhance interfirm competitive advantages. This research identifies sources of relational value based on relational view theory, namely platform alignment, process synchronization, knowledge sharing, and governance; we also develop an explanatory model for the relationships among these factors. Survey data collected from 230 high-tech manufacturing companies in China and Taiwan reveal several findings: (a) Platform alignment and governance affect collaboration activities directly: process synchronization and knowledge sharing. Moreover, platform alignment partially mediates the relationship between governance and these two collaborative activities. (b) Process synchronization and knowledge sharing mediate the relationship between platform alignment and relational value. (c) Governance has a direct effect on platform alignment. These findings support the relational view, indicating that the four determinants of value creation contribute to relational value. They also recognize that governance and platform alignment are two determinants of creating relational value through interfirm collaborations. By understanding the relationships, firms can effectively leverage information technology platforms and governance mechanisms to improve interfirm collaborations and ultimately create relational value in digital supply chains.</div></div>","PeriodicalId":56291,"journal":{"name":"Information & Management","volume":"63 2","pages":"Article 104292"},"PeriodicalIF":8.2,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145753513","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 : 2026-03-01Epub Date: 2025-11-24DOI: 10.1016/j.im.2025.104277
Florian Wintmölle, Marco Meier, Christian Maier
Practice shows that many users stop disclosing personal health information (PHI) in mobile health applications due to privacy concerns about potential misuse, thereby foregoing potential health benefits. We draw on privacy calculus theory to explain the reasons for this deliberate behavioral shift, which we label discontinuous disclosure. Privacy calculus theory states that users weigh the benefits of disclosure against the associated costs. We suggest that discontinuous disclosure arises from a discrepancy in users’ perceptions regarding these benefits and costs. Initially, they expect benefits from their PHI disclosure (e.g., health benefits) but subsequently do not experience these benefits or encounter unexpected costs (e.g., privacy concerns), which eventually lead them to discontinue disclosing. To account for such changing perceptions over time, we suggest that a combination of initial expectations and subsequent experiences regarding disclosure benefits and costs leads to discontinuous disclosure. We conducted a two-step fuzzy-set qualitative comparative analysis on survey data from 322 mobile health application users and reveal four configurations that explain discontinuous disclosure. We contribute to privacy research by introducing discontinuous disclosure as a novel disclosure behavior characterized by the discrepancy between expectations and experiences. We also extend privacy calculus theory by shifting from a static, one-time tradeoff to a dynamic view where (1) initial expectations form a baseline for assessing subsequent experiences and (2) experienced and expected benefits and costs work together to explain disclosure behavior. Additionally, we contribute to IS research on mobile health applications by explaining users’ disclosure behavior in this context.
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