https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/79 Sat, 04 Apr 2026 12:09:11 GMT 2026-04-04T12:09:11Z https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/211390 Title: Perceptional gaps between professionals and drivers on automotive data privacy Authors: Cho, Seongjin; Ryu, Hokyoung; Kim, Jieun Abstract: The proliferation of autonomous driving and advanced mobility services, alongside increasing regulatory demands for safety and compliance, has led to a dramatic increase in the collection of personal and vehicle data. This data-centric automotive industry has created a sharp tension between automotive professionals and drivers regarding data privacy. The present study addresses the gap of how different stakeholders perceive risks and their underlying cognitive structuring of data collected in-vehicle. Based on 97 types of vehicle and personal data derived from global automaker policies and regulatory frameworks, we employed open card-sorting experiments with 30 participants, followed by hierarchical clustering and network analysis. Results show distinct mental structures: professionals tend to group special-category (e.g., genetic information, religious beliefs, union membership) and body-related data, treating them as an interconnected high-risk cluster; drivers show a tendency of grouping personally identifiable information, such as passport numbers, addresses, and emergency contacts at high risk and forming broader clusters regarding mandatory vehicle telematics. Network analysis further evinced this divergence: while professional networks prioritize regulatory compliance with centralized "compliance hubs" (biometrics, health data), drivers focus on personal traceability via "traceability hubs" (name-address-contact triads). This indicates that in-vehicle consent mechanisms should align with the driver's cognitive model, contextual factors, and item-specific risks to ensure effective data privacy and ethical governance. Sun, 01 Mar 2026 00:00:00 GMT https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/211390 2026-03-01T00:00:00Z https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/211774 Title: Efficacy of supply chain integration in meeting customers' on-time delivery needs: moderating effect of product life cycle Authors: Dai, Fei; Wang, Shu; Wu, Haifeng; Hwang, David; Kang, Mingu Abstract: PurposeThis study aims to examine a moderated mediation model that addresses an effective usage of supply chain integration (SCI) for on-time delivery to customers by leveraging logistic outsourcing and considering the product life cycle (PLC).Design/methodology/approachThe authors empirically examine the proposed hypotheses using survey data from 251 manufacturing firms worldwide.FindingsThe results demonstrate that SCI directly enhances customer delivery satisfaction and indirectly does so via logistic outsourcing. More importantly, the results reveal that the role of SCI in this indirect relationship is more effective when the PLC is shorter.Originality/valueBy combining the PLC with the SCI, this study contributes to extant SCI literature. It provides valuable insights into how SCI can be more effectively used to meet customers' on-time delivery needs by leveraging external logistic outsourcing and considering the contingency of PLC length. Thu, 01 Jan 2026 00:00:00 GMT https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/211774 2026-01-01T00:00:00Z https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/211487 Title: Knowledge absorption from customers and its interplay with supplier adaptability for better operational and innovation performance Authors: Li, Shuting; Yang, Mark; Um, Ki-Hyun; Kang, Mingu Abstract: PurposeThis study investigates how manufacturing firms enhance their competitive performance, specifically operational and innovation performance, by absorbing knowledge from customers and leveraging the adaptability of suppliers.Design/methodology/approachThe proposed hypotheses were assessed using multisource data collected from 259 plants worldwide.FindingsThe results highlight that both customer knowledge and supplier adaptability are critical to manufacturing firms' knowledge absorption processes. Customer knowledge acquisition improves operational and innovation outcomes, while supplier adaptability reinforces this effect by enabling firms to integrate better and apply external knowledge.Practical implicationsThis research offers actionable insights for manufacturing managers by underscoring the need to strategically engage both customers and suppliers to improve plant-level performance through enhanced knowledge flows.Originality/valueBy highlighting the moderating role of supplier adaptability within the knowledge absorption-performance relationship, this study extends the knowledge-based view and deepens the understanding of how manufacturing firms can more effectively leverage external knowledge to sustain competitiveness in dynamic environments. Thu, 01 Jan 2026 00:00:00 GMT https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/211487 2026-01-01T00:00:00Z https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/211855 Title: Is Personalization the Future of User Interfaces? A Systematic Mapping and Review Authors: Aksu, Emirhan; Han, Jieun Abstract: The rapid advancement of technology has accelerated a significant shift in the design of user interfaces (VIs), moving from generic, one-fits-all solutions to personalized experiences tailored to individual user needs and preferences. This systematic mapping and review study explores the traj ectory towards future interfaces by examining literature published between January 1, 2014 and May 15, 2025 from databases including IEEE Xplore, Google Scholar, ACM Digital Library, Scopus, SpringerLink, and Taylor & Francis. As result, a total of 384 studies were analyzed to classify papers by domain, method, purpose, evaluation, UI modality, and UI trigger to address research question on trends, methodologies, and gaps. The findings indicate a pronounced movement towards personalization in various ways, driven by advancements in artificial intelligence (AI), big data analytics, and user-centric design principles. However, challenges such as privacy concerns, ethical considerations, and potential biases in algorithms present significant hurdles. This study highlights the need for interdisciplinary efforts to address these challenges and points to possible directions for future HCI investigations to ensure that personalized interfaces are inclusive, ethical, and user centric. Thu, 01 Jan 2026 00:00:00 GMT https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/211855 2026-01-01T00:00:00Z