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  <title>ScholarWorks Community:</title>
  <link rel="alternate" href="https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/78" />
  <subtitle />
  <id>https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/78</id>
  <updated>2026-07-04T07:11:46Z</updated>
  <dc:date>2026-07-04T07:11:46Z</dc:date>
  <entry>
    <title>The Oxford Handbook of Law and Management</title>
    <link rel="alternate" href="https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/217944" />
    <author>
      <name>김지은</name>
    </author>
    <id>https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/217944</id>
    <updated>2026-07-04T03:41:37Z</updated>
    <published>2026-06-01T00:00:00Z</published>
    <summary type="text">Title: The Oxford Handbook of Law and Management
Authors: 김지은</summary>
    <dc:date>2026-06-01T00:00:00Z</dc:date>
  </entry>
  <entry>
    <title>Can we trust artificial intelligence with asset management? A consumer preference analysis of robo-advisor services</title>
    <link rel="alternate" href="https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/212529" />
    <author>
      <name>Byun, Se Jun</name>
    </author>
    <author>
      <name>Jang, Sungsoon</name>
    </author>
    <author>
      <name>Choi, Jae Young</name>
    </author>
    <id>https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/212529</id>
    <updated>2026-05-09T05:01:41Z</updated>
    <published>2026-05-01T00:00:00Z</published>
    <summary type="text">Title: Can we trust artificial intelligence with asset management? A consumer preference analysis of robo-advisor services
Authors: Byun, Se Jun; Jang, Sungsoon; Choi, Jae Young
Abstract: Mathematical algorithms and AI-based robo-advisors are expected to offer more efficient and cost-effective financial management compared to traditional human advisors. However, for widespread adoption, a clear understanding of consumer perspectives is essential. This study conducted a discrete choice experiment (DCE) with a stratified sample of 1,000 participants between November and December 2023 to assess preferences regarding key attributes of robo-advisors. Specifically, the study examined which investor characteristics are associated with a willingness to delegate asset management to AI, and how trust in AI influences these preferences. Results indicated that expected returns, minimum investment thresholds, and management fees were the most valued attributes. Participants preferred high returns, low entry barriers, and minimal fees, but many expressed skepticism toward AI, favoring a hybrid model where AI shares decision-making authority with human advisors. In addition, by using factor analysis to incorporate variables identified in the Technology Acceptance Model (TAM) into the DCE, this study explored how investment behavior and trust in AI influence consumer choices related to the functions of robo-advisors. These insights inform strategic recommendations for policymakers and industry stakeholders to improve the acceptance and effective integration of robo-advisor services, emphasizing the need to build consumer trust and offer flexible, user-centered solutions.</summary>
    <dc:date>2026-05-01T00:00:00Z</dc:date>
  </entry>
  <entry>
    <title>Technological impact, generality, and complementarity of artificial intelligence patents: Evidence from Samsung Electronics</title>
    <link rel="alternate" href="https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/212752" />
    <author>
      <name>Lee, Sangrok</name>
    </author>
    <author>
      <name>Jung, Taehyun</name>
    </author>
    <id>https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/212752</id>
    <updated>2026-05-19T01:30:27Z</updated>
    <published>2026-05-01T00:00:00Z</published>
    <summary type="text">Title: Technological impact, generality, and complementarity of artificial intelligence patents: Evidence from Samsung Electronics
Authors: Lee, Sangrok; Jung, Taehyun
Abstract: This study examines the extent to which artificial intelligence (AI) technologies are more pervasive and technologically complementary than non-AI technologies. Drawing on the literature on general purpose technologies (GPTs), we hypothesize that AI technologies exhibit greater pervasiveness-reflected in higher technological impact and broader generality-and stronger technological complementarity than non-AI patents. Using a firm-level analysis of patents filed by Samsung Electronics between 1982 and 2018, we find that AI patents demonstrate significantly higher impact, wider generality, and stronger systematic complementarity compared to matched non-AI patents. These results are robust across alternative matching specifications and multiple operationalizations of the key variables. Our findings offer firm-level empirical supporting AI&amp;apos;s GPT-like characteristics and shed light on how AI-driven innovations may generate sustained incentives for technological advancement, even amid processes of creative destruction. The paper concludes by discussing key theoretical, managerial, and policy implications.</summary>
    <dc:date>2026-05-01T00:00:00Z</dc:date>
  </entry>
  <entry>
    <title>내러티브 기반 사용자 경험 평가 프레임워크의 개념적 타당성 검증: Freytag 구조와 PAD-히트맵 통합 측정 방법론에 대한 전문가 검증</title>
    <link rel="alternate" href="https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/217898" />
    <author>
      <name>장선영</name>
    </author>
    <author>
      <name>류호경</name>
    </author>
    <id>https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/217898</id>
    <updated>2026-07-03T04:30:35Z</updated>
    <published>2026-05-01T00:00:00Z</published>
    <summary type="text">Title: 내러티브 기반 사용자 경험 평가 프레임워크의 개념적 타당성 검증: Freytag 구조와 PAD-히트맵 통합 측정 방법론에 대한 전문가 검증
Authors: 장선영; 류호경
Abstract: 공공 디지털 서비스 UX 평가는 사후 단일 시점 측정에 의존하여 이용 과정의 단계별 사용성변화를 포착하지 못하며, 회고 시 피크-엔드 법칙(Peak-End Rule)에 따라 전체 경험이 왜곡되어 기억되는 한계를 지닌다. 본 연구는 이를 극복하기 위해 Freytag의 5단계 구조(Freytag&amp;apos;s Pyramid: 발단-상승-절정-하강-결말)를 공공 디지털 서비스 사용자 여정에 적용하고, 각 단계에서 PAD (Pleasure-Arousal-Dominance) 자기보고 측정과 히트맵 행동 데이터를 삼각검증(triangulation)하는 내러티브 기반 UX 평가 프레임워크를 제안한다. 제안한 프레임워크의 개념적 타당성 검증을 위해UI/UX 분야 전문가 7인을 대상으로 반구조화 인터뷰(semi-structured interview)를 실시하고 Elo와Kyngäs의 연역적 질적 내용분석(deductive content analysis)을 적용하였다. 전문가 검증 결과, 기존방법 대비 실무적 가치에서 전문가 전원이 찬성을 제시하였고, 통제감(Dominance) 차원은 이탈이불가능한 공공 서비스 맥락에서 통제감 변화를 포착하는 핵심 지표로서의 개념적 타당성이 지지되었다. 본 연구는 프레임워크의 개념적 타당성을 검증하는 탐색적 연구로서, 내러티브 이론을UX 평가 방법론에 접목하는 이론적 기반을 마련하고 후속 실험 연구의 측정 설계 방향에 구체적근거를 제공한다. 다만 측정 인터페이스 설계에서 팝업 방식의 PAD 측정이 차원별 측정값에 미치는 영향, 단계 경계의 조작적 정의, PAD-히트맵 해석 기준 등 프레임워크 운용을 위한 세부 설계 변수는 후속 실험 연구를 통한 실증적 정교화가 필요하다.; UX  evaluations  of  public  digital  services  rely  on  single-point  measurements  taken  after  the  fact, failing  to  capture  changes  in  usability  at  each  stage  of  the  user  journey.  Furthermore,  they  are  limited by  the  fact  that,  during  retrospectives,  the  overall  experience  is  distorted  in  memory  due  to  the Peak-End  Rule.  This  study  proposes  a  narrative-based  UX  evaluation  framework  that  applies  Freytag&amp;apos;s Pyramid,  comprising  Exposition,  Rising  Action,  Climax,  Falling  Action  and  Dénouement  to  the  public digital  service  user  journey.  This  framework  integrates  Pleasure-Arousal-Dominance(PAD)  self-report measurements  and  heatmap  behavioral  data  through  triangulation.  Conceptual  validity  was  examined through  semi-structured  interviews  with  seven  UI/UX  experts  and  deductive  qualitative  content  analysis following  Elo  and  Kyngäs.  Expert  validation  showed  unanimous  agreement  on  practical  value  over existing  methods  and  supported  the  conceptual  validity  of  the  Dominance  dimension  as  a  critical indicator  for  capturing  perceived  control  in  mandatory  public  service  contexts.  As  an  exploratory  study examining  the  conceptual  validity  of  the  framework,  this  study  establishes  a  theoretical  foundation  for integrating  narrative  theory  into  UX  evaluation  methodology  and  provides  concrete  grounds  for  the measurement  design  of  subsequent  empirical  studies.  However,  operational  variables  for  the  framework, such  as  measurement  interface  design,  particularly  the  influence  of  popup-based  PAD  measurement  on dimension-specific  scores,  the  operational  definition  of  stage  boundaries,  and  PAD-heatmap  interpretation criteria,  require  empirical  refinement  through  subsequent  experimental  research.</summary>
    <dc:date>2026-05-01T00:00:00Z</dc:date>
  </entry>
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