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Resistance to shared consumption: Exploring the interplay of access-temporality, economic-value, and anticipated regret in case of carsharing
IF 20.1 1区 管理学 Q1 INFORMATION SCIENCE & LIBRARY SCIENCE Pub Date : 2025-02-11 DOI: 10.1016/j.ijinfomgt.2025.102886
Sk Abu Khalek , Anirban Chakraborty
Although the concept of shared consumption has garnered considerable scholarly attention, there remains a notable paucity of research on resistance to carsharing. In particular, the crucial role of access temporality, long-term economic evaluation, and anticipated regret has not been studied previously. While the economic benefit is considered a pivotal determinant of carsharing adoption, the potential for negative evaluation when consumers engage in long-term assessments remains underexplored. Further, its contribution to anticipated regret and its subsequent effect on carsharing resistance has not been studied. Addressing the gap, this study draws upon mental accounting theory and regret theory to examine the role of access temporality and long-term cues in the economic evaluation of carsharing and its relationship with anticipated regret contributing to consumers’ resistance towards carsharing. To this end, Study 1 and Study 2 employed two 2 × 2 experimental designs to demonstrate that long-term cues significantly alter consumers’ perceived economic value of carsharing. They illustrate that access temporality and usage frequency affect consumers’ economic evaluations of carsharing and their intention to engage. Further, Study 3 analysed 417 survey data responses using PLS-SEM to reveal that lower economic value perception, anticipated regret, and status quo bias contribute to consumers’ resistance to using sharing. The results confirm the importance of access temporality and frequency of use influencing consumers’ perceived economic value of carsharing.
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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 Q1 INFORMATION SCIENCE & LIBRARY SCIENCE Pub Date : 2025-02-08 DOI: 10.1016/j.ijinfomgt.2025.102875
Lemuria Carter , Dapeng Liu
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.
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引用次数: 0
Interplay among collaborative culture, empowerment leadership, and IT work environment in the public sector: A mixed methods study
IF 20.1 1区 管理学 Q1 INFORMATION SCIENCE & LIBRARY SCIENCE Pub Date : 2025-02-05 DOI: 10.1016/j.ijinfomgt.2025.102883
Hyeon Jo
The evolving dynamics within public sector organizations necessitate an understanding of how collaborative culture, empowerment leadership, and IT work environments influence job performance, organizational commitment, and job satisfaction. This study employs a mixed-methods approach, integrating This study utilizes Partial Least Squares Structural Equation Modeling (PLS-SEM) to analyze quantitative data from 3825 South Korean public servants and integrates qualitative insights from interviews with 12 public servants. Quantitative findings indicate that collaborative culture significantly boosts job performance and organizational commitment. Empowerment leadership positively affects both job performance and organizational commitment, with enhanced effects in flexible settings such as smart work centers and telecommuting arrangements. The role of the IT work environment as a moderator reveals that its effective alignment with organizational culture and leadership practices is crucial for maximizing employee outcomes. Moreover, job performance and organizational commitment significantly impact job satisfaction, irrespective of the IT environment. These findings suggest practical strategies for public sector administrators to enhance organizational effectiveness by fostering a collaborative culture, supporting empowerment leadership, and strategically integrating IT to improve employee performance, commitment, and satisfaction.
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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 Q1 INFORMATION SCIENCE & LIBRARY SCIENCE Pub Date : 2025-01-30 DOI: 10.1016/j.ijinfomgt.2025.102874
Miguel-Angel Galindo-Martin , Maria-Teresa Mendez-Picazo , Rafael-Sergio Perez-Pujol
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.
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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 Q1 INFORMATION SCIENCE & LIBRARY SCIENCE Pub Date : 2025-01-25 DOI: 10.1016/j.ijinfomgt.2025.102873
Zhiyong Yang , Franklin Velasco Vizcaíno , Manhui Jin
This research employs a multi-study approach to examine how patient wellbeing is enhanced through cognitive and affective aspects of telemedicine services. In Study 1, based on a sample of 67 physicians and 370 patients, both cognitive and affective telemedicine ratings are shown to positively impact patients’ perceived wellbeing enhancement, with cognitive ratings exerting a stronger effect than affective ratings. Additionally, the effect of affective ratings diminishes as cognitive ratings increase or when physicians exhibit a stronger long-term orientation. Study 2 replicates main findings of Study 1 and further extends the analysis by incorporating a new measure of wellbeing enhancement that captures changes in patients’ physical, social, mental wellbeing. Theoretical contributions and managerial implications for enhancing telemedicine service quality are discussed.
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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 Q1 INFORMATION SCIENCE & LIBRARY SCIENCE Pub Date : 2025-01-23 DOI: 10.1016/j.ijinfomgt.2025.102871
Suraksha Gupta, YiChuan Wang, Parth Patel, Michael Czinkota
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.
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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 Q1 INFORMATION SCIENCE & LIBRARY SCIENCE Pub Date : 2025-01-22 DOI: 10.1016/j.ijinfomgt.2025.102872
Xuebing Dong , Chuanzhi Hu , Jonas Heller , Nianqi Deng
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.
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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 Q1 INFORMATION SCIENCE & LIBRARY SCIENCE 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
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 'Adoption of AI in TA: Framework on Negative Consequences.' 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 biased decision-making, data privacy violations, and efficiency reduction. 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.
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引用次数: 0
Technology emancipative and traditionalist value in cross-cultural market segmentation
IF 20.1 1区 管理学 Q1 INFORMATION SCIENCE & LIBRARY SCIENCE Pub Date : 2024-12-31 DOI: 10.1016/j.ijinfomgt.2024.102868
Maria Petrescu , Marie-Odile Richard , Aidin Namin , Burak Cankaya
This article identifies five key consumer segments based on digital technology-related behavior, attitudes toward technology (ATT), and cultural values, using cross-cultural data from the large-scale World Values Survey and national data from Pew Research data, and a combination of traditional clustering, latent class analysis, and explainable artificial intelligence (XAI) methods. The segments— Moderate Tech Enthusiasts, Highly Religious Traditionalists, Tech-Savvy Cosmopolitans, Secular Emancipatives, and Conservative Technophobes— reveal varying degrees of technology adoption and cosmopolitanism across cultures. The results indicate the interconnectedness between consumer behavior and attitudes toward technology, emancipative values, religiosity, political orientation, and cosmopolitanism, as well as the influence of demographic factors such as age, income, education, and region. The findings offer valuable insights into developing targeted, culturally sensitive international marketing strategies.
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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 Q1 INFORMATION SCIENCE & LIBRARY SCIENCE Pub Date : 2024-12-12 DOI: 10.1016/j.ijinfomgt.2024.102864
Lefa Teng , Hongyan Wang , Xinran Wang , Lianne Foti
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.
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International Journal of Information Management
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