RISS 학술연구정보서비스

검색
다국어 입력

http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.

변환된 중국어를 복사하여 사용하시면 됩니다.

예시)
  • 中文 을 입력하시려면 zhongwen을 입력하시고 space를누르시면됩니다.
  • 北京 을 입력하시려면 beijing을 입력하시고 space를 누르시면 됩니다.
닫기
    인기검색어 순위 펼치기

    RISS 인기검색어

      SCOPUS

      Uncovering stakeholders in public–private relations on social media: a case study of the 2015 Volkswagen scandal

      한글로보기

      https://www.riss.kr/link?id=A107512539

      • 0

        상세조회
      • 0

        다운로드
      서지정보 열기
      • 내보내기
      • 내책장담기
      • 공유하기
      • 오류접수

      부가정보

      다국어 초록 (Multilingual Abstract)

      <P>While researchers have focused on the nature of interpersonal communication on social media, few have investigated the patterns and structures of interactions among stakeholders engaged in an unexpected event. On September 18, 2015, the United States Environmental Protection Agency issued a notice of violation of the U.S. Clean Air Act to Volkswagen Group of America, Inc., citing Volkswagen's inappropriate software that circumvented the United States' emission standards. This research is systemically designed to examine the evolutionary structures of interpersonal issue networks on social media by focusing on the 2015 Volkswagen scandal on social media. The interpersonal network emerged and evolved to build a discourse on issues by stakeholders after the event. By using longitudinal data collected from the Volkswagen USA's Facebook page between September 17 and 20, 2015, this research tests four hypothesized network structures, which are reciprocity, transitivity, popularity, and activity, which assess the evolution of interpersonal issue networks. The results of exponential random graph models, analyzing 4131 stakeholders, show that interpersonal issue networks on social media have evolved overtime into a set of reciprocal relations and stakeholders transmitting critical information to bystanders. The findings imply that stakeholders who have Volkswagen's cars and stocks play a critical role in placating the scandal by mutually interacting with diverse bystanders on social media.</P>
      번역하기

      <P>While researchers have focused on the nature of interpersonal communication on social media, few have investigated the patterns and structures of interactions among stakeholders engaged in an unexpected event. On September 18, 2015, the Unite...

      <P>While researchers have focused on the nature of interpersonal communication on social media, few have investigated the patterns and structures of interactions among stakeholders engaged in an unexpected event. On September 18, 2015, the United States Environmental Protection Agency issued a notice of violation of the U.S. Clean Air Act to Volkswagen Group of America, Inc., citing Volkswagen's inappropriate software that circumvented the United States' emission standards. This research is systemically designed to examine the evolutionary structures of interpersonal issue networks on social media by focusing on the 2015 Volkswagen scandal on social media. The interpersonal network emerged and evolved to build a discourse on issues by stakeholders after the event. By using longitudinal data collected from the Volkswagen USA's Facebook page between September 17 and 20, 2015, this research tests four hypothesized network structures, which are reciprocity, transitivity, popularity, and activity, which assess the evolution of interpersonal issue networks. The results of exponential random graph models, analyzing 4131 stakeholders, show that interpersonal issue networks on social media have evolved overtime into a set of reciprocal relations and stakeholders transmitting critical information to bystanders. The findings imply that stakeholders who have Volkswagen's cars and stocks play a critical role in placating the scandal by mutually interacting with diverse bystanders on social media.</P>

      더보기

      분석정보

      View

      상세정보조회

      0

      Usage

      원문다운로드

      0

      대출신청

      0

      복사신청

      0

      EDDS신청

      0

      동일 주제 내 활용도 TOP

      더보기

      주제

      연도별 연구동향

      연도별 활용동향

      연관논문

      연구자 네트워크맵

      공동연구자 (7)

      유사연구자 (20) 활용도상위20명

      이 자료와 함께 이용한 RISS 자료

      나만을 위한 추천자료

      해외이동버튼