온라인상의 기업 및 소비자 텍스트 분석과 이를 활용한 온라인 매출 증진 전략

다국어 초록 (Multilingual Abstract)

Much effort has been exerted to analyze online texts and understand how empirical results can help improve sales performance. In this research, we aim to extend this stream of research by decomposing online texts based on text sources, namely, companies and consumers. To be specific, we investigate how online texts driven by companies differ from those generated by consumers, and the extent to which both types of online texts have different effects on online sales. We obtained sales data from one of the biggest game publishers and merged them with online texts provided by companies using news articles and those created by consumers in user communities. The empirical analyses yield the following findings. Word visualization and topic analyses show that firms and consumers generate different contexts. Specifically, companies spread word to promote their own events whereas consumers produce online words to share winning strategies. Moreover, online sales are influenced by consumer-generated community topics whereas firm-driven topics in news articles have little to no effect. These findings suggest that companies should focus more on online texts generated by consumers rather than spreading their own words. Moreover, online sales strategies should take advantage of specific topics that have been proven to increase online sales. In particular, these findings give startup companies and small business owners in variety of industries the advantage when they use the online channel for distribution and as a marketing platform.

목차 (Table of Contents)

• Abstract
• 1. 서론
• 2. 연구 설계
• 3. 데이터 분석 결과
• 4. 결론 및 시사점
• 참고문헌

참고문헌 (Reference)

1 김민철, "트위터 상의 악의적 이용 자동분류" 한국문헌정보학회 47 (47): 269-286, 2013

2 진설아, "트위터 데이터를 이용한 네트워크 기반 토픽 변화 추적 연구" 한국정보관리학회 30 (30): 285-302, 2013

3 박자현, "토픽모델링을 활용한 국내 문헌정보학 연구동향 분석" 한국정보관리학회 30 (30): 7-32, 2013

4 김승경, "웹사이트 디자인의 시각적 요소와 유용성이 성과에 미치는 영향에 관한 연구" 한국경영과학회 32 (32): 17-40, 2007

5 김승운, "온라인 피드백 메커니즘으로서 상품평 게시판의 지각된 효과성과 신뢰, 만족, 이용의도간의 관계구조분석" 한국경영과학회 32 (32): 53-69, 2007

6 이동일, "모바일, PC온라인 매체 방문 행동이 쇼핑 사이트 방문에 미치는 영향에 대한 동태적 연구" 한국경영과학회 39 (39): 85-95, 2014

7 김은미, "뉴스 미디어로서의 트위터: 뉴스 의제와 뉴스에 대한 대화를 중심으로" 한국언론학회 55 (55): 152-180, 2011

8 Liu, Y., "Word of mouth for movies：its dynamics and impact on box office revenue" 70 (70): 74-89, 2006

9 Berger, J., "What makes online content viral?" 49 (49): 192-205, 2012

10 Godes, D., "Using online conversations to study word of mouth communication" 23 (23): 545-560, 2004

11 Chen, P., "The impact of online recommendations and consumer feedback on sales" 58 : 711-724, 2004

12 Villanueva, J., "The impact of marketing-induced versus word-of-mouth customer acquisition on customer equity growth" 45 (45): 48-59, 2008

13 Chevalier, J., "The effect of word of mouth on sales：online book review" 43 (43): 345-354, 2006

14 Duan, W., "The dynamics of online word-of-mouth and product sales-an empirical investigation of the movie industry" 84 (84): 233-242, 2008

15 Huang, P., "Searching for Experience on the Web：An Empirical Examination of Consumer Behavior for Search and Experience Goods" 73 (73): 55-69, 2009

16 Netzer, O., "Mine your own business：market-structure surveillance through text mining" 31 (31): 5211-5543, 2012

17 Bickart, B., "Internet forums as influential sources of consumer information" 15 (15): 31-40, 2001

18 Godes, D., "Firm-created word-of-mouth communication：evidence from a field test" 28 (28): 721-739, 2009

19 Griffiths, T., "Finding science topics" 101 (101): 5228-5235, 2004

20 Naik, P. A., "Estimating the Half-life of Advertisments" 10 (10): 345-356, 1999

21 Greene, W. H., "Econometric Analysis" McMillian 2003

22 Archak, N., "Deriving the pricing power of product features by mining consumer review" 57 (57): 1485-1509, 2011

23 Srinivasan, S.S., "Customer loyalty in e-commerce：an exploration of its antecedents and consequences" 78 (78): 41-50, 2002

24 Pauwels, K., "Beyond Likes and Tweets：Marketing, Social Media Content, and Store Performance" 13 : 13-125, 2013