Pub Date : 2026-04-01Epub Date: 2026-01-02DOI: 10.1016/j.im.2025.104299
Prashant Palvia , Vanessa Cooper , Mohammad Daneshvar Kakhki
Research illuminating women’s experience working in information technology (IT) in different parts of the world is vital if we are to address the gender gap in IT. Based on a survey of women from 36 countries, we examine the factors that influence women’s intention to leave the IT profession by adopting the job demands–resources model and the individual differences theory of gender and IT to compare their experiences. We present a model that identifies how these factors affect women’s experience in the profession based on environmental, identity, and individual differences. Our findings can inform the design of targeted interventions that address the underrepresentation of women in IT.
{"title":"The flight of women from the information technology profession: nuances and global perspectives","authors":"Prashant Palvia , Vanessa Cooper , Mohammad Daneshvar Kakhki","doi":"10.1016/j.im.2025.104299","DOIUrl":"10.1016/j.im.2025.104299","url":null,"abstract":"<div><div>Research illuminating women’s experience working in information technology (IT) in different parts of the world is vital if we are to address the gender gap in IT. Based on a survey of women from 36 countries, we examine the factors that influence women’s intention to leave the IT profession by adopting the job demands–resources model and the individual differences theory of gender and IT to compare their experiences. We present a model that identifies how these factors affect women’s experience in the profession based on environmental, identity, and individual differences. Our findings can inform the design of targeted interventions that address the underrepresentation of women in IT.</div></div>","PeriodicalId":56291,"journal":{"name":"Information & Management","volume":"63 3","pages":"Article 104299"},"PeriodicalIF":8.2,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145893715","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 : 2026-04-01Epub Date: 2026-01-30DOI: 10.1016/j.im.2026.104315
Chuanbo Hu , Bin Liu , Minglei Yin , Yilu Zhou , Xin Li
Mobile applications (apps) could expose children to inappropriate themes such as sexual content, violence, and drug use. A maturity rating offers a quick and effective method for potential users, particularly guardians, to assess the maturity levels of apps. Determining accurate maturity ratings for mobile apps is essential to protect children’s health in today’s saturated digital marketplace. Existing approaches to maturity rating are either inaccurate (e.g., self-reported rating by developers) or costly (e.g., manual examination). In the literature, there are few text-mining-based approaches to maturity rating. However, each app typically involves multiple modalities, namely an app description in text and screenshots as images. In this paper, we present a framework that utilizes multimodal large language models (MLLMs), specifically ChatGPT-4 Vision, for determining app maturity levels. Powered by Chain-of-Thought (CoT) reasoning, our framework systematically leverages ChatGPT-4 to process multimodal app data (i.e., textual descriptions and screenshots) and guides the MLLM model through a step-by-step reasoning pathway from initial content analysis to final maturity rating determination. As a result, through explicitly incorporating CoT reasoning, our framework enables ChatGPT to better understand and apply maturity policies to facilitate maturity rating. Experimental results indicate that the proposed method outperforms baseline models and other multimodal fusion strategies.
{"title":"Multimodal chain-of-thought reasoning with large language models to protect children from age-inappropriate apps","authors":"Chuanbo Hu , Bin Liu , Minglei Yin , Yilu Zhou , Xin Li","doi":"10.1016/j.im.2026.104315","DOIUrl":"10.1016/j.im.2026.104315","url":null,"abstract":"<div><div>Mobile applications (apps) could expose children to inappropriate themes such as sexual content, violence, and drug use. A <em>maturity rating</em> offers a quick and effective method for potential users, particularly guardians, to assess the maturity levels of apps. Determining accurate maturity ratings for mobile apps is essential to protect children’s health in today’s saturated digital marketplace. Existing approaches to maturity rating are either inaccurate (e.g., self-reported rating by developers) or costly (e.g., manual examination). In the literature, there are few text-mining-based approaches to maturity rating. However, each app typically involves multiple modalities, namely an app description in text and screenshots as images. In this paper, we present a framework that utilizes multimodal large language models (MLLMs), specifically ChatGPT-4 Vision, for determining app maturity levels. Powered by Chain-of-Thought (CoT) reasoning, our framework systematically leverages ChatGPT-4 to process multimodal app data (i.e., textual descriptions and screenshots) and guides the MLLM model through a step-by-step reasoning pathway from initial content analysis to final maturity rating determination. As a result, through explicitly incorporating CoT reasoning, our framework enables ChatGPT to better understand and apply maturity policies to facilitate maturity rating. Experimental results indicate that the proposed method outperforms baseline models and other multimodal fusion strategies.</div></div>","PeriodicalId":56291,"journal":{"name":"Information & Management","volume":"63 3","pages":"Article 104315"},"PeriodicalIF":8.2,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146089704","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 : 2026-04-01Epub Date: 2026-01-13DOI: 10.1016/j.im.2026.104303
Musen Xue , Bei Zhang , Xiaojie Sun
In a dual-channel structure, consumer reviews impact product demand and capacity allocation, which are crucial for operational decisions. The oversight of capacity constraints in existing literature has prompted this study to investigate its impact on the preference of chain members for consumer review strategies, specifically considering hindering and facilitating strategies. Findings show strategy preference hinges on capacity constraints and consumers’ updated quality perception from online reviews. Particularly, opting to facilitate consumer reviews in the online channel can emerge as the optimal strategy for the supplier when confronted with moderate capacity and negative product quality perceptions from online reviews. Our results further indicate that capacity constraints play a pivotal role in shaping supply chain members’ consensus on consumer review strategy preferences. While moderate capacity leads supply chain members to favor a hindering strategy when consumer reviews trigger poor quality perception, they converge on a facilitating strategy if consumers’ updated perception, although relatively low, is framed within a context of perceived good product quality.
{"title":"To facilitate consumer reviews or not? The role of capacity constraint","authors":"Musen Xue , Bei Zhang , Xiaojie Sun","doi":"10.1016/j.im.2026.104303","DOIUrl":"10.1016/j.im.2026.104303","url":null,"abstract":"<div><div>In a dual-channel structure, consumer reviews impact product demand and capacity allocation, which are crucial for operational decisions. The oversight of capacity constraints in existing literature has prompted this study to investigate its impact on the preference of chain members for consumer review strategies, specifically considering hindering and facilitating strategies. Findings show strategy preference hinges on capacity constraints and consumers’ updated quality perception from online reviews. Particularly, opting to facilitate consumer reviews in the online channel can emerge as the optimal strategy for the supplier when confronted with moderate capacity and negative product quality perceptions from online reviews. Our results further indicate that capacity constraints play a pivotal role in shaping supply chain members’ consensus on consumer review strategy preferences. While moderate capacity leads supply chain members to favor a hindering strategy when consumer reviews trigger poor quality perception, they converge on a facilitating strategy if consumers’ updated perception, although relatively low, is framed within a context of perceived good product quality.</div></div>","PeriodicalId":56291,"journal":{"name":"Information & Management","volume":"63 3","pages":"Article 104303"},"PeriodicalIF":8.2,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145962445","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 : 2026-04-01Epub Date: 2026-02-06DOI: 10.1016/j.im.2026.104318
Ling Zhao , Dongshan Yang , Yuni Li , Jiaxuan Tang , Shanshan Guo
In the emerging gig platforms, customer injustice is a pervasive stressor that undermines gig workers’ well-being and performance, yet research has rarely examined how platforms’ algorithmic governance can mitigate its effects. Grounded in the job demands–resources (JD-R) model, this study conceptualizes customer injustice as a salient job demand, while framing algorithmic governance strategies (ex ante filtering and ex post remediation), and the algorithmic fairness they promote as job resources. Using a mixed-method design, survey data from 589 delivery workers reveal that customer injustice heightens emotional exhaustion, which in turn induces customer-directed sabotage and reduces prosocial service behavior. Both algorithmic governance strategies enhance perceived algorithmic fairness, thereby alleviating emotional exhaustion, while job resources show heterogeneous moderating effects. A follow-up qualitative study corroborates and complements the quantitative findings.
{"title":"Helping gig workers deal with customer injustice: An empirical study on the effects of algorithmic governance strategies","authors":"Ling Zhao , Dongshan Yang , Yuni Li , Jiaxuan Tang , Shanshan Guo","doi":"10.1016/j.im.2026.104318","DOIUrl":"10.1016/j.im.2026.104318","url":null,"abstract":"<div><div>In the emerging gig platforms, customer injustice is a pervasive stressor that undermines gig workers’ well-being and performance, yet research has rarely examined how platforms’ algorithmic governance can mitigate its effects. Grounded in the job demands–resources (JD-R) model, this study conceptualizes customer injustice as a salient job demand, while framing algorithmic governance strategies (ex ante filtering and ex post remediation), and the algorithmic fairness they promote as job resources. Using a mixed-method design, survey data from 589 delivery workers reveal that customer injustice heightens emotional exhaustion, which in turn induces customer-directed sabotage and reduces prosocial service behavior. Both algorithmic governance strategies enhance perceived algorithmic fairness, thereby alleviating emotional exhaustion, while job resources show heterogeneous moderating effects. A follow-up qualitative study corroborates and complements the quantitative findings.</div></div>","PeriodicalId":56291,"journal":{"name":"Information & Management","volume":"63 3","pages":"Article 104318"},"PeriodicalIF":8.2,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146174234","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 : 2026-04-01Epub Date: 2026-02-05DOI: 10.1016/j.im.2026.104316
Chuang Wang , Run Weng , Rongxin Zhou
Compulsive scrolling on short-form video apps is drawing widespread concern. Unlike other platforms, these apps combine rapid content delivery with sophisticated recommendation algorithms, yet research has failed to capture these distinct characteristics and their impact on user behavior. Drawing on an extended Stimulus-Response-Reinforcement framework, we propose that content types and recommendation systems act as stimuli, with users’ anticipation as partial reinforcement, to explain compulsive scrolling on short-form video apps. We examine our model using an online survey and conduct Latent Profile Analysis to identify compulsive usage profiles. Findings show that anticipation significantly increases compulsive scrolling, while the interplay between content types and recommendation systems leads to mixed effects on anticipation.
{"title":"Why we cannot stop repetitive scrolling on short-form video apps: The roles of content types and recommendation systems","authors":"Chuang Wang , Run Weng , Rongxin Zhou","doi":"10.1016/j.im.2026.104316","DOIUrl":"10.1016/j.im.2026.104316","url":null,"abstract":"<div><div>Compulsive scrolling on short-form video apps is drawing widespread concern. Unlike other platforms, these apps combine rapid content delivery with sophisticated recommendation algorithms, yet research has failed to capture these distinct characteristics and their impact on user behavior. Drawing on an extended Stimulus-Response-Reinforcement framework, we propose that content types and recommendation systems act as stimuli, with users’ anticipation as partial reinforcement, to explain compulsive scrolling on short-form video apps. We examine our model using an online survey and conduct Latent Profile Analysis to identify compulsive usage profiles. Findings show that anticipation significantly increases compulsive scrolling, while the interplay between content types and recommendation systems leads to mixed effects on anticipation.</div></div>","PeriodicalId":56291,"journal":{"name":"Information & Management","volume":"63 3","pages":"Article 104316"},"PeriodicalIF":8.2,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146174235","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 : 2026-04-01Epub Date: 2026-01-19DOI: 10.1016/j.im.2026.104307
Dennis Renee Metzler , Tim Scheerschmidt
This study explores the enactment of dynamic managerial capabilities in the context of digital transformation. Drawing on 24 in-depth interviews with C-level executives, we present a detailed framework that illustrates how dynamic managerial capabilities are enacted through specific managerial activities and associated actions. Furthermore, we identify relevant personality traits that can support the enactment of each individual capability. Based on our findings, we extend the established triad of sensing, seizing, and transforming by introducing a fourth dynamic managerial capability: scrutinizing. This complementary capability captures the evaluative actions required to assess digital transformation endeavors and identify the need for further action. Thus, this study contributes to a more nuanced understanding of how individual-level capabilities enable and shape digital transformation in organizations.
{"title":"The role of dynamic managerial capabilities and underlying personality traits in digital transformations: Insights from European C-level executives","authors":"Dennis Renee Metzler , Tim Scheerschmidt","doi":"10.1016/j.im.2026.104307","DOIUrl":"10.1016/j.im.2026.104307","url":null,"abstract":"<div><div>This study explores the enactment of dynamic managerial capabilities in the context of digital transformation. Drawing on 24 in-depth interviews with C-level executives, we present a detailed framework that illustrates how dynamic managerial capabilities are enacted through specific managerial activities and associated actions. Furthermore, we identify relevant personality traits that can support the enactment of each individual capability. Based on our findings, we extend the established triad of sensing, seizing, and transforming by introducing a fourth dynamic managerial capability: scrutinizing. This complementary capability captures the evaluative actions required to assess digital transformation endeavors and identify the need for further action. Thus, this study contributes to a more nuanced understanding of how individual-level capabilities enable and shape digital transformation in organizations.</div></div>","PeriodicalId":56291,"journal":{"name":"Information & Management","volume":"63 3","pages":"Article 104307"},"PeriodicalIF":8.2,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146001316","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 : 2026-04-01Epub Date: 2026-01-08DOI: 10.1016/j.im.2026.104302
Mohamed Hédi Charki , Nabila Boukef , Jose Benitez , Sangseok You , Ajay Mehra , Lionel P. Robert Jr.
Enterprise social media (ESM) is a critical sociotechnical platform for organizational knowledge sharing. While research has extensively studied the antecedents of knowledge contribution on ESM, the consequences for the contributor have received little attention. We address this by investigating how knowledge-sharing behaviors on ESM affect the psychological well-being of contributors. Our study draws on data from surveys and uses digital trace data from a corporate ESM to supplement the analysis. Crucially, we distinguish the effects of work-related knowledge contributions (e.g., help with a work project) from those of nonwork-related contributions (e.g., advice on recovering after running a semi-marathon). This study offers a new, contributor-centric perspective on ESM, demonstrating its value beyond knowledge seeking. We also show that nonwork-related knowledge contributions are a significant positive trigger for employee well-being. Finally, we reveal that contributing knowledge on ESM is positively associated with the contributor’s own learning, a process that goes beyond vicarious learning.
{"title":"Knowledge contribution on enterprise social media and employee well-being","authors":"Mohamed Hédi Charki , Nabila Boukef , Jose Benitez , Sangseok You , Ajay Mehra , Lionel P. Robert Jr.","doi":"10.1016/j.im.2026.104302","DOIUrl":"10.1016/j.im.2026.104302","url":null,"abstract":"<div><div>Enterprise social media (ESM) is a critical sociotechnical platform for organizational knowledge sharing. While research has extensively studied the antecedents of knowledge contribution on ESM, the consequences for the contributor have received little attention. We address this by investigating how knowledge-sharing behaviors on ESM affect the psychological well-being of contributors. Our study draws on data from surveys and uses digital trace data from a corporate ESM to supplement the analysis. Crucially, we distinguish the effects of work-related knowledge contributions (e.g., help with a work project) from those of nonwork-related contributions (e.g., advice on recovering after running a semi-marathon). This study offers a new, contributor-centric perspective on ESM, demonstrating its value beyond knowledge seeking. We also show that nonwork-related knowledge contributions are a significant positive trigger for employee well-being. Finally, we reveal that contributing knowledge on ESM is positively associated with the contributor’s own learning, a process that goes beyond vicarious learning.</div></div>","PeriodicalId":56291,"journal":{"name":"Information & Management","volume":"63 3","pages":"Article 104302"},"PeriodicalIF":8.2,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146025285","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 : 2026-04-01Epub Date: 2026-01-24DOI: 10.1016/j.im.2026.104314
Hao Li , Chunhong Guo , Peter Ping Li , Fangbai Song
Job threats from artificial intelligence (AI) have become a hot issue in both theory and practice, but we still know little about how AI automation and AI opacity will synergistically generate job threats and which adaptive behavior employees will adopt in the face of AI threats. Using technology threat avoidance theory as a theoretical framework, we construct a comprehensive framework where AI automation and AI opacity interact to influence perceived AI job threat and thus inducing knowledge acquisition and knowledge hiding, while examining the conditional effects of regulatory focus. We propose that AI automation and AI opacity play a synergistic role in influencing the perceived AI job threat, which pushes employees to engage in knowledge acquisition behavior, especially among employees with the promotion focus, and knowledge hiding behavior, especially for employees with the prevention focus. Specifically, two independent studies support our hypotheses. Our research not only provides a more holistic explanation of how AI shapes perceived AI job threat, but also provides new insights into the study of employees’ adaptive behavior due to AI threats, thereby expanding existing research on IS threats.
{"title":"AI automation and AI opacity: The effects on threat and response appraisal","authors":"Hao Li , Chunhong Guo , Peter Ping Li , Fangbai Song","doi":"10.1016/j.im.2026.104314","DOIUrl":"10.1016/j.im.2026.104314","url":null,"abstract":"<div><div>Job threats from artificial intelligence (AI) have become a hot issue in both theory and practice, but we still know little about how AI automation and AI opacity will synergistically generate job threats and which adaptive behavior employees will adopt in the face of AI threats. Using technology threat avoidance theory as a theoretical framework, we construct a comprehensive framework where AI automation and AI opacity interact to influence perceived AI job threat and thus inducing knowledge acquisition and knowledge hiding, while examining the conditional effects of regulatory focus. We propose that AI automation and AI opacity play a synergistic role in influencing the perceived AI job threat, which pushes employees to engage in knowledge acquisition behavior, especially among employees with the promotion focus, and knowledge hiding behavior, especially for employees with the prevention focus. Specifically, two independent studies support our hypotheses. Our research not only provides a more holistic explanation of how AI shapes perceived AI job threat, but also provides new insights into the study of employees’ adaptive behavior due to AI threats, thereby expanding existing research on IS threats.</div></div>","PeriodicalId":56291,"journal":{"name":"Information & Management","volume":"63 3","pages":"Article 104314"},"PeriodicalIF":8.2,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146048130","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 : 2026-04-01Epub Date: 2026-01-16DOI: 10.1016/j.im.2026.104304
Zhao Han , Gang Du
Internet-based medical consultation has become a new channel for care for patients. They can choose suitable online healthcare platforms (OHPs) according to their needs. However, little is known about how patients make such choices and why they choose certain OHPs. Focusing on OHP types and patient choices, this study first carried out three online virtual experimental studies (n=871) and one behavioral survey (n=201). The results indicated that patients with different disease severity show significant differences in intention to use hospital-led or enterprise-led OHPs. When seeking advice from others, patients with low disease severity are more likely to choose hospital-led OHPs, and perceived convenience plays a mediating role. Patients with high disease severity have higher perceived convenience and expected expectations for enterprise-led OHPs. Subsequently, we conducted semi-structured interviews (n=18) to confirm and complement the quantitative study results. This study broadens the research perspective on OHPs, enriches the research on online consultation targets, and provides theoretical guidance for OHPs’ managers to improve patient usage rates.
{"title":"Enterprise led or hospital led: Types of online healthcare platforms and patient choice","authors":"Zhao Han , Gang Du","doi":"10.1016/j.im.2026.104304","DOIUrl":"10.1016/j.im.2026.104304","url":null,"abstract":"<div><div>Internet-based medical consultation has become a new channel for care for patients. They can choose suitable online healthcare platforms (OHPs) according to their needs. However, little is known about how patients make such choices and why they choose certain OHPs. Focusing on OHP types and patient choices, this study first carried out three online virtual experimental studies (n=871) and one behavioral survey (n=201). The results indicated that patients with different disease severity show significant differences in intention to use hospital-led or enterprise-led OHPs. When seeking advice from others, patients with low disease severity are more likely to choose hospital-led OHPs, and perceived convenience plays a mediating role. Patients with high disease severity have higher perceived convenience and expected expectations for enterprise-led OHPs. Subsequently, we conducted semi-structured interviews (n=18) to confirm and complement the quantitative study results. This study broadens the research perspective on OHPs, enriches the research on online consultation targets, and provides theoretical guidance for OHPs’ managers to improve patient usage rates.</div></div>","PeriodicalId":56291,"journal":{"name":"Information & Management","volume":"63 3","pages":"Article 104304"},"PeriodicalIF":8.2,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145995693","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 : 2026-04-01Epub Date: 2026-01-16DOI: 10.1016/j.im.2026.104305
Fangze Dai , Lingfeng Dong , Liqiang Huang , Yu Tu
This study examines the differential effects of two forms of ambidexterity—unbalanced and combined (i.e., the balance between exploitation and exploration)—on bid-winning performance within online crowdsourcing platforms. Drawing on longitudinal archival data from a leading Chinese platform and applying an econometric modeling approach, we find that unbalanced ambidexterity exhibits an inverse U-shaped relationship with bid-winning performance, indicating that moderate imbalance enhances performance while extreme imbalance diminishes it. In contrast, combined ambidexterity exerts a consistently positive influence. Furthermore, we examine the moderating roles of expertise level, monetary reward, and competitive intensity guided by the performance theory. Expertise level attenuates both the curvilinear effect of unbalanced ambidexterity and the positive effect of combined ambidexterity. Monetary reward weakens the benefits of combined ambidexterity but does not significantly moderate unbalanced ambidexterity. Interestingly, competitive intensity amplifies the inverse U-shaped effect of unbalanced ambidexterity while reducing the positive effect of combined ambidexterity. These findings contribute to ambidexterity theory by highlighting its dynamic and context-dependent nature and offer practical insights for contractors and platform operators seeking to optimize strategic flexibility in competitive digital environments.
{"title":"The impact of ambidexterity on bid-winning performance: Evidence from an online crowdsourcing platform","authors":"Fangze Dai , Lingfeng Dong , Liqiang Huang , Yu Tu","doi":"10.1016/j.im.2026.104305","DOIUrl":"10.1016/j.im.2026.104305","url":null,"abstract":"<div><div>This study examines the differential effects of two forms of ambidexterity—unbalanced and combined (i.e., the balance between exploitation and exploration)—on bid-winning performance within online crowdsourcing platforms. Drawing on longitudinal archival data from a leading Chinese platform and applying an econometric modeling approach, we find that unbalanced ambidexterity exhibits an inverse U-shaped relationship with bid-winning performance, indicating that moderate imbalance enhances performance while extreme imbalance diminishes it. In contrast, combined ambidexterity exerts a consistently positive influence. Furthermore, we examine the moderating roles of expertise level, monetary reward, and competitive intensity guided by the performance theory. Expertise level attenuates both the curvilinear effect of unbalanced ambidexterity and the positive effect of combined ambidexterity. Monetary reward weakens the benefits of combined ambidexterity but does not significantly moderate unbalanced ambidexterity. Interestingly, competitive intensity amplifies the inverse U-shaped effect of unbalanced ambidexterity while reducing the positive effect of combined ambidexterity. These findings contribute to ambidexterity theory by highlighting its dynamic and context-dependent nature and offer practical insights for contractors and platform operators seeking to optimize strategic flexibility in competitive digital environments.</div></div>","PeriodicalId":56291,"journal":{"name":"Information & Management","volume":"63 3","pages":"Article 104305"},"PeriodicalIF":8.2,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145995694","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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