International Journal of Information Management最新文献

Seeking help from AI: Understanding patient use of intelligent guidance applications 向AI寻求帮助：了解患者对智能引导应用程序的使用情况

IF 27 1区管理学

International Journal of Information Management Pub Date : 2026-06-01 Epub Date: 2026-01-15 DOI: 10.1016/j.ijinfomgt.2026.103032

Tailai Wu , Ruihan Li , Zhaohua Deng , Lulu Zhou , Lingfei Lu

{"title":"Seeking help from AI: Understanding patient use of intelligent guidance applications","authors":"Tailai Wu , Ruihan Li , Zhaohua Deng , Lulu Zhou , Lingfei Lu","doi":"10.1016/j.ijinfomgt.2026.103032","DOIUrl":"10.1016/j.ijinfomgt.2026.103032","url":null,"abstract":"<div><div>Intelligent guidance applications (IGAs) have emerged with a profound impact on the patient’s experience of using healthcare services in and out of hospitals. However, the implementation of IGAs faces challenges, including low popularity and acceptance as well as uneven use of hospitals in different regions. Meanwhile, little research has examined the factors of IGAs use. To promote patient use of IGAs, this study focuses on identifying the factors of patient use of IGAs. A research model was developed to examine the factors and articulate their relationships with IGAs use based on the help-seeking model. We validated our research model through a two-stage survey and analyzed the collected data using a multi-analytical approach, including structural equation modeling (SEM) and artificial neural network (ANN). The SEM analysis results indicate that accuracy, personalization, anthropomorphism, and openness all significantly impact patients’ use intention and behavior of IGAs through distress. Self-concealment not only affects the above four attributes but also influences distress and attitudes to IGAs. Meanwhile, the impacts of both distress and attitudes to IGAs on intention to use IGAs are moderated by health consciousness. Besides, the ANN analysis results show that intention to use is the strongest predictor of IGAs use, while distress is the strongest predictor of intention to use IGAs. These findings not only provide a solid theoretical understanding of the factors of IGAs use but also have several managerial implications for hospitals and managers of IGAs to help them make effective decisions about using IGAs.</div></div>","PeriodicalId":48422,"journal":{"name":"International Journal of Information Management","volume":"88 ","pages":"Article 103032"},"PeriodicalIF":27.0,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145981339","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Configuring trust in AI-augmented healthcare: The role of AI interpretability and data privacy in patient adoption of AI-assisted diagnosis 在人工智能增强医疗保健中配置信任：人工智能可解释性和数据隐私在患者采用人工智能辅助诊断中的作用

IF 27 1区管理学

International Journal of Information Management Pub Date : 2026-06-01 Epub Date: 2026-01-27 DOI: 10.1016/j.ijinfomgt.2026.103039

Xiangyu Bian , Yitong Chen , Aobo Yang

{"title":"Configuring trust in AI-augmented healthcare: The role of AI interpretability and data privacy in patient adoption of AI-assisted diagnosis","authors":"Xiangyu Bian , Yitong Chen , Aobo Yang","doi":"10.1016/j.ijinfomgt.2026.103039","DOIUrl":"10.1016/j.ijinfomgt.2026.103039","url":null,"abstract":"<div><div>The integration of artificial intelligence (AI) into healthcare is transforming traditional patient-physician relationships, particularly in online healthcare platforms. This study investigates how patients integrate AI-assisted diagnosis into their healthcare decision-making alongside traditional physician consultation. Drawing on the Unified Theory of Acceptance and Use of Technology 2 (UTAUT2) and the Information Systems Success Model, an integrated theoretical framework is developed to examine how digital health literacy and digital service propensity influence AI-assisted diagnosis adoption through AI interpretability and perceived data privacy. A sequential mixed-methods approach combining qualitative interviews (n = 30) and quantitative survey data (n = 753) from Chinese online healthcare platform users is used to validate the proposed model and identify disease type as a significant contextual moderator. Findings reveal that AI interpretability and perceived data privacy are associated with mediating relationships between user characteristics and adoption intentions, with these relationships being significantly stronger in chronic disease contexts compared to acute conditions. This study advances theoretical understanding of healthcare AI adoption by integrating individual differences, system characteristics, and contextual factors into a comprehensive framework. Findings provide actionable insights for platform developers to implement context-specific design strategies, for healthcare providers to develop tailored AI introduction programs, and for policymakers to establish differentiated regulatory guidelines based on disease contexts. These contributions help bridge the \"trust gap\" in AI-assisted healthcare decision-making.</div></div>","PeriodicalId":48422,"journal":{"name":"International Journal of Information Management","volume":"88 ","pages":"Article 103039"},"PeriodicalIF":27.0,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146079443","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

The impact of enterprise and public social media use on guanxi formation and task performance 企业和公众使用社交媒体对关系形成和任务绩效的影响

IF 27 1区管理学

International Journal of Information Management Pub Date : 2026-06-01 Epub Date: 2026-01-13 DOI: 10.1016/j.ijinfomgt.2026.103030

Evelyn Ng , Robert M. Davison , Louie Wong , Barney Tan , Jingzhu Hong

{"title":"The impact of enterprise and public social media use on guanxi formation and task performance","authors":"Evelyn Ng , Robert M. Davison , Louie Wong , Barney Tan , Jingzhu Hong","doi":"10.1016/j.ijinfomgt.2026.103030","DOIUrl":"10.1016/j.ijinfomgt.2026.103030","url":null,"abstract":"<div><div>This study examines the differential impacts of enterprise social media (ESM) and public social media (PSM) on guanxi formation and task performance in the Chinese workplace. Guanxi, a key cultural concept in Chinese society, encompasses interpersonal relationships that significantly influence organizational dynamics. Using a sample of 214 employees from a Guangzhou branch of a global logistics firm, we explored how ESM and PSM contribute to guanxi development, and how guanxi, in turn, affects extra-role behavior (ERB) and team identification, ultimately impacting task performance. The study found that ESM is more effective for work-related communications, fostering initial guanxi development, while PSM plays a crucial role in deepening social guanxi. These findings, further validated with analysis of a supplementary dataset comprised of 683 valid responses from employees of a China-based IT service provider, suggest that organizations should consider the distinct roles of ESM and PSM in workplace communication strategies, particularly in contexts where guanxi is pivotal. Furthermore, the research demonstrates that guanxi, developed through both enterprise and public social media interactions, plays an important role in fostering ERB and team identification, which collectively enhance task performance. The study offers theoretical contributions to the understanding of guanxi in digital environments and practical implications for managing social media use in Chinese organizations.</div></div>","PeriodicalId":48422,"journal":{"name":"International Journal of Information Management","volume":"88 ","pages":"Article 103030"},"PeriodicalIF":27.0,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145981338","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Knowledge workers’ trust and reception of generative AI’s advice in complex tasks 知识工作者在复杂任务中对生成式人工智能建议的信任和接受

IF 27 1区管理学

International Journal of Information Management Pub Date : 2026-06-01 Epub Date: 2026-01-12 DOI: 10.1016/j.ijinfomgt.2026.103031

Alireza Amrollahi , Jiaqi Yang , Syed Muhammad Fazal-e-Hasan , Basma Badreddine

{"title":"Knowledge workers’ trust and reception of generative AI’s advice in complex tasks","authors":"Alireza Amrollahi , Jiaqi Yang , Syed Muhammad Fazal-e-Hasan , Basma Badreddine","doi":"10.1016/j.ijinfomgt.2026.103031","DOIUrl":"10.1016/j.ijinfomgt.2026.103031","url":null,"abstract":"<div><div>Building on the prior literature that suggests knowledge workers are generally averse to algorithmic advice, this study explores the differences in reception of and trust in generative AI (GAI) advice compared to human advice, particularly among various reception groups engaged in complex and professional tasks, such as software development. Studies 1 and 2 explore preferences between human and GAI advice sources and assess the impact of users’ reception to GAI. The findings reveal that programmers appreciate GAI advice more than the equivalent advice from human experts. Furthermore, the reception type significantly influences advice-taking behaviour; programmers with a dominant reception of GAI exhibit greater acceptance, while those with an oppositional reception show less acceptance. In Study 3, we develop a nomological model through survey data to verify the complex relationships among technological innovativeness, various forms of trust in GAI, and advice-taking behaviour, noting variations among the different reception groups. We also conduct a complementary configurational analysis to examine how users’ trust in GAI is influenced by factors outside the main domain of study, such as task complexity, perceived security risks, and past exposure to GAI. Our research challenges the widely held belief of algorithm aversion among knowledge workers and contributes to information systems literature by highlighting the impact of the critical factors such as individual reception, past exposure, and innovativeness on knowledge workers’ advice-taking from GAI. Practically, it offers insights for organisations to develop human-centric GAI implementation strategies that embrace individual differences.</div></div>","PeriodicalId":48422,"journal":{"name":"International Journal of Information Management","volume":"88 ","pages":"Article 103031"},"PeriodicalIF":27.0,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145947976","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Enhancing supply chain resilience: A fit mechanism between key core technology innovations and digital technology applications 增强供应链弹性：关键核心技术创新与数字技术应用的契合机制

IF 27 1区管理学

International Journal of Information Management Pub Date : 2026-06-01 Epub Date: 2026-01-31 DOI: 10.1016/j.ijinfomgt.2026.103040

Hui Sun , Yun Song , Ruiqiu Zhang

{"title":"Enhancing supply chain resilience: A fit mechanism between key core technology innovations and digital technology applications","authors":"Hui Sun , Yun Song , Ruiqiu Zhang","doi":"10.1016/j.ijinfomgt.2026.103040","DOIUrl":"10.1016/j.ijinfomgt.2026.103040","url":null,"abstract":"<div><div>In the increasingly complex VUCA global environment, supply chain disruptions are becoming more frequent, making the enhancement of supply chain resilience a critical issue for both academia and practice. Grounded in the task-technology fit (TTF) theory and the fit-based perspective, this study empirically examines the impact of key core technology innovations on supply chain resilience, using a sample of 372 Chinese A-share listed companies from three industries over the period 2012–2023. This study explores the complementing fit and balancing fit mechanisms between key core technology innovations and digital technology applications, while also examining the mediating role of supply base concentration. The results indicate that: (1) Key core technology innovations have a significant positive impact on supply chain resilience. (2) The complementing fit shows that the digital technology application depth significantly strengthens the relationship between key core technology innovations and supply chain resilience, while the application breadth does not exhibit a significant moderating effect. (3) The balancing fit demonstrates a nonlinear impact: high balance maximizes resilience, early-stage imbalance can have compensatory effects, and severe imbalance weakens resilience. The negative impact of the “low key core technology innovations - high digital technology applications” combination is notable. (4) Supply base concentration mediates the relationship between the two fits and resilience, and fits help manage risks associated with high concentration. This study challenges the traditional “efficiency-resilience” paradox, extends TTF theory at the strategic level, and provides insights for firms seeking to build highly resilient supply chains through technological synergy.</div></div>","PeriodicalId":48422,"journal":{"name":"International Journal of Information Management","volume":"88 ","pages":"Article 103040"},"PeriodicalIF":27.0,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146079444","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Artificial intelligence in healthcare IT: Enhancing work productivity through techno-eustress 医疗保健IT中的人工智能：通过技术压力提高工作效率

IF 27 1区管理学

International Journal of Information Management Pub Date : 2026-04-01 Epub Date: 2025-11-26 DOI: 10.1016/j.ijinfomgt.2025.103004

Shameem Shagirbasha , Naman Agarwal , Angelin Vilma G.

{"title":"Artificial intelligence in healthcare IT: Enhancing work productivity through techno-eustress","authors":"Shameem Shagirbasha , Naman Agarwal , Angelin Vilma G.","doi":"10.1016/j.ijinfomgt.2025.103004","DOIUrl":"10.1016/j.ijinfomgt.2025.103004","url":null,"abstract":"<div><div>In a labor-intensive sector such as healthcare, the work productivity of frontline healthcare workers (FHWs) is crucial to reducing costs and managing patient volume. This study explores the affordances of Gen AI HITs that enhance FHWs’ work productivity and examines the mechanisms underlying this effect. A sequential mixed-methods design was employed for this study: qualitative interviews with 32 FHWs to identify the affordances that positively influence work productivity, followed by quantitative analyses using the PROCESS macro and structural equation modeling (SEM) to assess mediation by techno-eustress and moderation by job self-efficacy. The qualitative findings indicate that Gen AI HITs’ information, navigation, and interactivity affordances foster work productivity among FHWs, among other affordances identified. The quantitative results highlight that techno-eustress mediates the positive impact of Gen AI HITs’ interactivity and information affordances on FHWs’ work productivity, but not navigation affordance. However, when accounting for FHWs’ job self-efficacy, the mediation effect of techno-eustress becomes significant for all three affordances of Gen AI HIT – information, navigation, and interactivity. Specifically, the indirect positive impact of these affordances on productivity is stronger among FHWs with higher job self-efficacy. These results offer significant contributions to understanding the human–technology interaction in healthcare and provide practical insights for designing Gen AI HITs and training programs that improve adoption while enhancing work performance.</div></div>","PeriodicalId":48422,"journal":{"name":"International Journal of Information Management","volume":"87 ","pages":"Article 103004"},"PeriodicalIF":27.0,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145616132","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Artificial intelligence and career development: Concerns and insights from first-generation college students 人工智能与职业发展：来自第一代大学生的关注和见解

IF 27 1区管理学

International Journal of Information Management Pub Date : 2026-04-01 Epub Date: 2025-11-21 DOI: 10.1016/j.ijinfomgt.2025.103003

Xuefei (Nancy) Deng , Rui Sun

{"title":"Artificial intelligence and career development: Concerns and insights from first-generation college students","authors":"Xuefei (Nancy) Deng , Rui Sun","doi":"10.1016/j.ijinfomgt.2025.103003","DOIUrl":"10.1016/j.ijinfomgt.2025.103003","url":null,"abstract":"<div><div>Artificial intelligence (AI) is disrupting workforce and posing an unprecedented threat of job displacement. However, our understanding of AI's role in shaping individual career development is limited. This study provides insights into AI and career development within the context of first-generation college students (FGCSs), a marginalized group that is arguably among the most vulnerable to the career disruption of AI. Employing mixed methods, this exploratory study examines the effects of FGCS status and career anchor on individual concerns about AI’s career impact and the perceptions of FGCSs and non-FGCSs regarding their career development. Using survey data from 70 students at a minority-serving public university in the United States, the quantitative analysis shows that FGCS status is positively associated with individual concern about AI’s career impact, whereas prior ChatGPT experience is negatively associated with this concern. However, we did not find evidence that a student’s career anchor affects their concerns about AI’s career impact. Meanwhile, the qualitative analysis revealed four themes that highlight employed FGCSs’ reliance on college education to change to a professional career or prepare for entrepreneurship. Our follow-up study revealed four types of individual attitudes toward AI’s career impact and suggested that the attitudes are influenced by generational status and career stage. We compare FGCSs and their peers in terms of career stage, career development and attitude toward AI’s impact and propose intervention strategies to help FGCSs mitigate AI-related job replacement risks. The study contributes to research on the AI impact on career development of a marginalized population.</div></div>","PeriodicalId":48422,"journal":{"name":"International Journal of Information Management","volume":"87 ","pages":"Article 103003"},"PeriodicalIF":27.0,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145571058","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Exploring information sharing intention of employees through privacy calculus perspective: A mixed-methods approach 基于隐私演算视角的员工信息共享意愿研究：一种混合方法研究

IF 27 1区管理学

International Journal of Information Management Pub Date : 2026-04-01 Epub Date: 2026-01-03 DOI: 10.1016/j.ijinfomgt.2025.103028

Abdul Khader V , Sreejith S S

{"title":"Exploring information sharing intention of employees through privacy calculus perspective: A mixed-methods approach","authors":"Abdul Khader V , Sreejith S S","doi":"10.1016/j.ijinfomgt.2025.103028","DOIUrl":"10.1016/j.ijinfomgt.2025.103028","url":null,"abstract":"<div><div>The contemporary business world demands a high volume of data in each of its functional areas, including human resources. Despite the availability of various data extraction options, it is imperative to directly obtain information from employees for making decisions using human resources analytics. We primarily aim to investigate employees’ perspectives on voluntarily sharing their personal information through a respecified privacy calculus model (PCM) to ensure contextual validity and theoretical coherence. We conducted sequential exploratory mixed-methods research, consisting of two stages. The first stage involved qualitative interviews with 23 employees, while the second stage included quantitative survey data collected from 511 employees, aiming to gain a comprehensive understanding of employees’ perceptions of personal information sharing. In the first stage, we identified six influential themes using thematic analysis and developed a conceptual model based on the privacy calculus perspective. In the second stage, we used covariance-based structural equation modeling (CB-SEM) to analyze the survey data to validate the model. Findings confirmed the explanatory power of PCM and respecified it in the context of employee personal information sharing. We offer recommendations to organizations on how to collect and manage HR information, taking into account the perspectives of employees.</div></div>","PeriodicalId":48422,"journal":{"name":"International Journal of Information Management","volume":"87 ","pages":"Article 103028"},"PeriodicalIF":27.0,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145925013","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Reflecting the impact of customer participation in digital era: The role of data analytics capability and organization coupling 反映数字时代客户参与的影响：数据分析能力和组织耦合的作用

IF 27 1区管理学

International Journal of Information Management Pub Date : 2026-04-01 Epub Date: 2025-12-26 DOI: 10.1016/j.ijinfomgt.2025.103022

Zhenghao Michael Xia , Yangsong Hu , Xiaodong Marcus Li , Kang Xie , Jinghua Xiao

{"title":"Reflecting the impact of customer participation in digital era: The role of data analytics capability and organization coupling","authors":"Zhenghao Michael Xia , Yangsong Hu , Xiaodong Marcus Li , Kang Xie , Jinghua Xiao","doi":"10.1016/j.ijinfomgt.2025.103022","DOIUrl":"10.1016/j.ijinfomgt.2025.103022","url":null,"abstract":"<div><div>With the widespread adoption of big data and related technologies in customer participation (CP), exploring the mechanisms through which data analytics enables CP to achieve innovative performance has become an emerging topic in innovation research. However, under different forms of CP, it remains unclear how data analytics technologies and their associated organizational factors will impact firm innovation performance. This study aims to inform this issue, based on match-paired samples of 370 Chinese firms undergoing digital transformation, from an integrated perspective of knowledge production and Socio-technical theory (STT). Our findings show that (1) customer participation as information providers (CPI) and customer participation as co-developers (CPC) have heterogeneous impact paths on innovation performance, in which knowledge production constitutes a complete or partial mediator, respectively. (2) The technical and social aspects of data analytics, namely data analytics capability (DAC) and data and R&D departments coupling (DRDC), respectively, has a linear positive (non-linear inverted U-shaped) moderating effect on the impact paths of CPI (CPC). These results provide more refined evidence for the realization of performance and boundary conditions of CP innovation in the big data era, which helps to enrich the literature on innovation and the practice of data-driven innovation.</div></div>","PeriodicalId":48422,"journal":{"name":"International Journal of Information Management","volume":"87 ","pages":"Article 103022"},"PeriodicalIF":27.0,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145839413","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Gain or loss? The dual effects of dependence on AI on employee’s creativity 得还是失？依赖人工智能对员工创造力的双重影响

IF 27 1区管理学

International Journal of Information Management Pub Date : 2026-04-01 Epub Date: 2025-11-19 DOI: 10.1016/j.ijinfomgt.2025.103001

Su Cui , Longdong Wang , Weihang Cao , Tongqing Zhu

引用次数: 0