[논문]빅데이터 분석을 이용한 소셜 미디어의 부정적 구전 파급력에 관한 연구: 공급사슬 리스크 관점에서

정의범

doi:10.9723/jksiis.2022.27.2.163

빅데이터 분석을 이용한 소셜 미디어의 부정적 구전 파급력에 관한 연구: 공급사슬 리스크 관점에서
A Study on Negative Word-of-mouth Virality of Social Media Using Big Data Analysis: From the Supply Chain Risk's Perspective 원문보기

한국산업정보학회논문지 = Journal of the Korea Industrial Information Systems Research, v.27 no.2, 2022년, pp.163 - 176

정의범 (한신대학교 글로벌협력대학 경영학과)

초록
AI-Helper

비즈니스 생태계의 불확실성이 증가함에 따라 공급사슬 내에서 야기는 되는 리스크의 종류도 매우 복잡하고 다양해 지고 있다. 특히 최근 정보통신기술의 발달로 기존 기업이 직면하던 전통적인 공급사슬 리스크 요인 이외에 새로운 리스크 요인을 고려할 필요가 있다. 대표적으로 소셜 미디어를 통한 부정적 구전을 예를 들 수 있다. 이에 본 연구는 대표적인 소셜 미디어인 유튜브(YouTube) 통해 제조 기업을 대상으로 부정적 구전의 파급력에 대해서 연구하였다. 보다 구체적으로는 부정적 구전의 제작자의 사회적 자본이 부정적 구전의 파급력에 어떤 영향을 주는 살펴보고, 그 과정에서 동영상의 부정적 감정이 어떤 역할을 하는지 연구하였다. 그 결과 부정적 구전 생성자의 사회적 자본은 부정적 구전의 규모와 속도에 영향을 주며, 나아가 동영상의 부정적 감정 단어는 동영상 제작자의 사회적 자본과 부정적 구전의 규모에 있어 조절효과를 보였다.

Abstract ▼ AI-Helper

As the business ecosystem has become more uncertain, the sources of supply chain risk have also been becoming more diverse. In particular, due to the development of informational technology in recent years, firms need to consider the emerging supply chain risk sources as well as traditional supply chain risk sources. A typical example is negative word-of-mouth by social media. Therefore, we investigated the virality of negative word-of-mouth on manufacturing firms by using YouTube as a representative social media. More specifically, we investigated how the social capital of the video creator influences the virality of negative word-of-mouth and how the emotional tone of the video affects the virality of negative word-of-mouth. In conclusion, the social capital of the video creator influenced the scale and speed of negative word-of-mouth. Furthermore, negative emotion words moderated the relation between the social capital of the video creator and the scale of negative word-of-mouth.

주제어

표/그림 (7)

그림 Fig. 1 Research Model
그림 Fig. 2 Ego network(example)
표 Table 1 Descriptive Statistics of Car Recall Video
표 Table 2 Correlation Analysis
표 Table 3 NWOM Virality Results(Scale)
표 Table 4 NWOM Virality Results(Speed)
표 Table 5 Hypothesis Test Results

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표제어: PCR

동의어: Packet Collision Rate

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용어 설명: PCR은 세균 특이성이 있는 primer를 이용하여 적은 수의 세균이 있을지라도 쉽게 검출할 수 있는 유용한 방법이며, 이를 이용하여 구강 내 치면세균막이나 타액에서 직접 세균을 검출할 수 있게 되었다[8].

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