International Journal of Information Management最新文献

From assistance to reliance: Development and validation of the large language model dependence scale

IF 20.1 1区管理学

International Journal of Information Management Pub Date : 2025-02-20 DOI: 10.1016/j.ijinfomgt.2025.102888

Zewei Li , Zheng Zhang , Mingwei Wang , Qi Wu

{"title":"From assistance to reliance: Development and validation of the large language model dependence scale","authors":"Zewei Li , Zheng Zhang , Mingwei Wang , Qi Wu","doi":"10.1016/j.ijinfomgt.2025.102888","DOIUrl":"10.1016/j.ijinfomgt.2025.102888","url":null,"abstract":"<div><div>With the rapid advancement of large language models (LLMs), the phenomenon of LLMs dependence has emerged and garnered significant attention. However, previous scales have been insufficient to measure the extent of individuals' dependence on LLMs. The current study aims to utilize the human-computer trust model and addiction theory to develop and validate the LLMs dependence scale (LDS) and to report its psychometric properties. An exploratory structural investigation of LLMs dependence was conducted with a sample of 421 LLMs users (Sample 1), which included items analysis, exploratory factor analysis, and network analysis. Additionally, a formal test was performed with a separate sample of 1030 LLMs users (Sample 2), with the data undergoing structural validation through confirmatory factor analysis, validity testing, and reliability testing. To mitigate the potential negative impacts of LLMs dependence, we employed the NodeIdentifyR algorithm for computational simulation interventions to identify critical intervention nodes within the LLMs dependence network. The results indicated that the LDS (18 items) exhibited a bifactor structure of functional dependence and existential dependence. The confirmatory factor model demonstrated a good fit and the LDS also showed good criterion-related validity. Subsequent simulated results of alleviating interventions suggested that users' existential dependence was primarily driven by their dependence on LLMs to handle tedious and boring tasks, while functional dependence was more influenced by users' belief in the omnipotence of LLMs. In summary, the factor structure of the LDS is clear, and its reliability and validity indices meet psychometric standards, making it an effective tool for measuring LLMs dependence.</div></div>","PeriodicalId":48422,"journal":{"name":"International Journal of Information Management","volume":"83 ","pages":"Article 102888"},"PeriodicalIF":20.1,"publicationDate":"2025-02-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143454662","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

How was my performance? Exploring the role of anchoring bias in AI-assisted decision making

IF 20.1 1区管理学

International Journal of Information Management Pub Date : 2025-02-08 DOI: 10.1016/j.ijinfomgt.2025.102875

Lemuria Carter , Dapeng Liu

{"title":"How was my performance? Exploring the role of anchoring bias in AI-assisted decision making","authors":"Lemuria Carter , Dapeng Liu","doi":"10.1016/j.ijinfomgt.2025.102875","DOIUrl":"10.1016/j.ijinfomgt.2025.102875","url":null,"abstract":"<div><div>Organizations leverage artificial intelligence (AI) to analyze data and support decision making. However, the integration of AI into organizational workflows may introduce unintended biases. Despite the proliferation of AI in organizations, no study to date has juxtaposed the impact of human and AI recommendations on decision making. Using two controlled experiments of 775 managers, we explore the impact of AI and cognitive bias on performance appraisal ratings. In particular, we examine anchoring and adjustment bias and present an effective strategy for mitigating this bias. The findings show managers’ performance ratings are impacted by the presence of an AI recommendation. The source of the recommendation (human or AI) interacted with the anchor (high or low) to influence managers’ rating. In particular, a high-anchor produced different performance ratings for each source. However, when exposed to a low-anchor, supervisors did not produce varied estimates from AI and non-AI recommendations. These findings suggest managers should be aware of the differential effects of anchoring and adjustment bias on organizational decisions. An employee’s performance may be rated differently, not because of the employee’s behavior, but because of the source of the recommendation and the magnitude of the anchor. This paper makes several significant contributions: (1) it is among the first studies to empirically test the presence and salience of anchoring bias in AI-assisted decision making; (2) it presents the consider-the-opposite strategy as an approach to effectively debias the anchoring effects of AI recommendations.</div></div>","PeriodicalId":48422,"journal":{"name":"International Journal of Information Management","volume":"82 ","pages":"Article 102875"},"PeriodicalIF":20.1,"publicationDate":"2025-02-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143350906","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Open innovation and sustainable development: A micro and macroeconomic analysis using a mixed method research with PLS-SEM-NCA and Delphi

IF 20.1 1区管理学

International Journal of Information Management Pub Date : 2025-01-30 DOI: 10.1016/j.ijinfomgt.2025.102874

Miguel-Angel Galindo-Martin , Maria-Teresa Mendez-Picazo , Rafael-Sergio Perez-Pujol

{"title":"Open innovation and sustainable development: A micro and macroeconomic analysis using a mixed method research with PLS-SEM-NCA and Delphi","authors":"Miguel-Angel Galindo-Martin , Maria-Teresa Mendez-Picazo , Rafael-Sergio Perez-Pujol","doi":"10.1016/j.ijinfomgt.2025.102874","DOIUrl":"10.1016/j.ijinfomgt.2025.102874","url":null,"abstract":"<div><div>Open innovation is increasingly studied as a driver of sustainable development. Policymakers must understand how these variables are related and the factors improving the environment in which open innovation develops. Therefore, this research aims to analyse the relationship between open innovation and sustainable development and determine the impact of different factors on open innovation. This study considers human capital, institutional business facilities, and market opportunities. A mixed-research method is used in two complementary studies. Study 1 considers macroeconomic data and applies a structural equation model through partial least squares and necessary condition analysis. Based on the results of Study 1, a qualitative approach is adopted in Study 2, using a Delphi adapted to experts to better understand the results at the micro level. The results are useful for policymakers to establish an integrated decision-making framework stemming from integrating both micro- and macro-level information.</div></div>","PeriodicalId":48422,"journal":{"name":"International Journal of Information Management","volume":"82 ","pages":"Article 102874"},"PeriodicalIF":20.1,"publicationDate":"2025-01-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143144041","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 patient wellbeing through telemedicine services: The impact of cognitive and affective service quality ratings and physicians’ long-term orientation

IF 20.1 1区管理学

International Journal of Information Management Pub Date : 2025-01-25 DOI: 10.1016/j.ijinfomgt.2025.102873

Zhiyong Yang , Franklin Velasco Vizcaíno , Manhui Jin

引用次数: 0

Navigating the future of AI in marketing: AI integration across borders, ethical considerations, and policy implications

IF 20.1 1区管理学

International Journal of Information Management Pub Date : 2025-01-23 DOI: 10.1016/j.ijinfomgt.2025.102871

Suraksha Gupta, YiChuan Wang, Parth Patel, Michael Czinkota

{"title":"Navigating the future of AI in marketing: AI integration across borders, ethical considerations, and policy implications","authors":"Suraksha Gupta, YiChuan Wang, Parth Patel, Michael Czinkota","doi":"10.1016/j.ijinfomgt.2025.102871","DOIUrl":"10.1016/j.ijinfomgt.2025.102871","url":null,"abstract":"<div><div>The superior computing power of modern technologies, combined with their ability to provide insights through analytics on rich data sets, is helping companies enhance performance across all areas. Consequently, companies are increasingly deploying Artificial Intelligence (AI) to synchronise, reshape, and restructure their resources to achieve business objectives and enhance customer engagement in marketing efforts. AI facilitates marketing strategies by delivering personalised experiences to both local and international customers. However, the rapid pace of innovation in AI and the absence of comprehensive regulatory frameworks pose concerns. These gaps make it challenging for companies to ensure that their AI applications are compliant and safeguard stakeholder interests. Therefore, transitioning into the AI domain carries risks for companies aiming to maintain an ethical and responsible image. To mitigate these risks, integrating responsible AI usage into corporate policies can serve as a critical first step for companies.</div></div>","PeriodicalId":48422,"journal":{"name":"International Journal of Information Management","volume":"82 ","pages":"Article 102871"},"PeriodicalIF":20.1,"publicationDate":"2025-01-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143144042","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

Does using augmented reality in online shopping affect post-purchase product perceptions? A mixed design using machine-learning based sentiment analysis, lab experiments, and focus groups

IF 20.1 1区管理学

International Journal of Information Management Pub Date : 2025-01-22 DOI: 10.1016/j.ijinfomgt.2025.102872

Xuebing Dong , Chuanzhi Hu , Jonas Heller , Nianqi Deng

{"title":"Does using augmented reality in online shopping affect post-purchase product perceptions? A mixed design using machine-learning based sentiment analysis, lab experiments, and focus groups","authors":"Xuebing Dong , Chuanzhi Hu , Jonas Heller , Nianqi Deng","doi":"10.1016/j.ijinfomgt.2025.102872","DOIUrl":"10.1016/j.ijinfomgt.2025.102872","url":null,"abstract":"<div><div>With the advent of augmented reality (AR) use in online retailing, scholars have increasingly focused on its impact on consumers’ online shopping decisions. While numerous studies have examined AR applications in online retailing during the pre- and mid-purchase stages, limited research has explored the influence of AR use on consumers’ evaluation of product perceptions in the post-purchase stage. This study examines whether and how AR use enhances consumers’ post-purchase evaluation of product perceptions. Using a mixed-method design, encompassing machine-learning based sentiment analysis, lab experiments, and semi-structured focus groups, we found that AR use positively influenced consumers’ perceptions of a product’s aesthetic, functional, and service dimensions. Furthermore, we determined that consumer expectations mediated the improvement in product perceptions in the post-purchase stage, with the degree of body involvement in the product and brand familiarity moderating this mediation. These results extend the existing AR literature by highlighting the impact of AR technology on consumers’ post-purchase evaluation of product perceptions. The study also offers important practical guidance for retail platforms and product manufacturers.</div></div>","PeriodicalId":48422,"journal":{"name":"International Journal of Information Management","volume":"82 ","pages":"Article 102872"},"PeriodicalIF":20.1,"publicationDate":"2025-01-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143144043","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

Towards effective adoption of artificial intelligence in talent acquisition: A mixed method study

IF 20.1 1区管理学

International Journal of Information Management Pub Date : 2025-01-18 DOI: 10.1016/j.ijinfomgt.2025.102870

Julia Stefanie Roppelt , Andreas Schuster , Nina Sophie Greimel , Dominik K. Kanbach , Kakoli Sen

{"title":"Towards effective adoption of artificial intelligence in talent acquisition: A mixed method study","authors":"Julia Stefanie Roppelt , Andreas Schuster , Nina Sophie Greimel , Dominik K. Kanbach , Kakoli Sen","doi":"10.1016/j.ijinfomgt.2025.102870","DOIUrl":"10.1016/j.ijinfomgt.2025.102870","url":null,"abstract":"<div><div>Artificial intelligence (AI) emerges as a promising technology to address burgeoning challenges resulting from shifting demographics, coupled with a shortage of qualified personnel. Thus, the adoption of AI creates especially interest within the talent acquisition (TA) domain to realize anticipated efficiency gains. However, evidence suggests that AI adoption may foster the emergence of harmful forms of practices (HFP) within TA practices. Despite the importance, respective empirical studies collecting data to generate insights remain sparse. Thus, the aim of this study is to investigate HFP and underlying drivers through a mixed-method approach. At the first stage, we conducted in-depth interviews with 42 TA experts. The resulting insights informed the development of the <em>'Adoption of AI in TA: Framework on Negative Consequences</em>.' This model suggests that a confluence of technological, individual, and organizational factors can result in the emergence of HFP post-AI adoption. Such potential HFP include <em>biased decision-making</em>, <em>data privacy violations</em>, and <em>efficiency reduction</em>. Then, we validated our qualitative findings and confirmed our hypotheses by employing a quantitative, survey-based approach with 303 valid study participants. By shedding light on potential HFP through AI adoption in TA and respective catalysts, our research empowers both information technology and TA professionals to proactively engage in mitigation strategies. In this vein, they may successfully navigate the complex landscape of AI adoption. Hence, this study adds to research on effective AI adoption in TA.</div></div>","PeriodicalId":48422,"journal":{"name":"International Journal of Information Management","volume":"82 ","pages":"Article 102870"},"PeriodicalIF":20.1,"publicationDate":"2025-01-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143144644","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Technology emancipative and traditionalist value in cross-cultural market segmentation

IF 20.1 1区管理学

International Journal of Information Management Pub Date : 2024-12-31 DOI: 10.1016/j.ijinfomgt.2024.102868

Maria Petrescu , Marie-Odile Richard , Aidin Namin , Burak Cankaya

引用次数: 0

Unlocking the potential of virtual endorsers: The role of brand-owned and brand-non-owned virtual endorsers in shaping brand attitude

IF 20.1 1区管理学

International Journal of Information Management Pub Date : 2024-12-12 DOI: 10.1016/j.ijinfomgt.2024.102864

Lefa Teng , Hongyan Wang , Xinran Wang , Lianne Foti

{"title":"Unlocking the potential of virtual endorsers: The role of brand-owned and brand-non-owned virtual endorsers in shaping brand attitude","authors":"Lefa Teng , Hongyan Wang , Xinran Wang , Lianne Foti","doi":"10.1016/j.ijinfomgt.2024.102864","DOIUrl":"10.1016/j.ijinfomgt.2024.102864","url":null,"abstract":"<div><div>As digital marketing evolves, virtual endorsers have become a key strategy for brands to attract and connect with consumers. More and more brands are using both brand-owned and brand-non-owned virtual endorsers. While existing research has largely focused on comparing virtual and human endorsers and typically categorizes virtual endorsers as human-like or cartoon-like, systematic studies on brand-owned and brand-non-owned virtual endorsers are still lacking. This research employs a mixed-method approach to explore the attributes of brand-owned and brand-non-owned virtual endorsers and their effects on brand attitude. Through qualitative methods, including focus group discussions, in-depth interviews, and essay writing, we identified ten key attributes of brand-owned and brand-non-owned virtual endorsers: endorser-brand match, independence, popularity, uniqueness, credibility, interactivity, informativeness, flexibility, novelty, and stability. Quantitative research using a survey demonstrated that both types of virtual endorsers and their attributes significantly enhance brand attitude. Additionally, an experiment explored the effects of brand-owned versus brand-non-owned virtual endorsers on brand attitude, brand association, and purchase intention across collectivist and individualist cultures. This research systematically investigates brand-owned and brand-non-owned virtual endorsers, enriching theoretical insights in digital marketing and advertising, and providing practical guidance for brands in selecting and managing virtual endorsers.</div></div>","PeriodicalId":48422,"journal":{"name":"International Journal of Information Management","volume":"81 ","pages":"Article 102864"},"PeriodicalIF":20.1,"publicationDate":"2024-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143167204","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

Action research and design science, Newton and Darwin, and why IS researchers should try HARDS with Big Tech

IF 20.1 1区管理学

International Journal of Information Management Pub Date : 2024-12-12 DOI: 10.1016/j.ijinfomgt.2024.102866

Ned Kock

引用次数: 0