A Study on Game Keyword Search Volume and Global Game Performance with Big Data
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The purpose of this study is to summarize recent research trends and discussions on the effects of internet information search volume and information search behavior on game performance and performance indicators using big data which along with fourth industrial revolution is an important factor. In particular, big data is experiencing a surge in the use of Big Data in the entertainment industry, which is dominated by extreme uncertainties. Therefore, we examine the relevant studies that resulted in big data variables being objectively valid. This study investigates the major researches on the search volume of internet information through Google Trend. In terms of consumer behavior, information search behaviors are theoretically sought to relate to big data, internet search volume, and game performance. Finally, we review recent research trends related to game performance and some indicators that can be applied to game performance. Based on this, it is possible to review the related studies on the use of big data, internet information search volume, and information search behavior in consumers in the future. We will establish a model for future empirical research and provide a basis for analyzing the correlation between the information retrieval amount and the game performance of the consumers who can create meaningful game industry performance, and before and after the causal relationship. Academically, it is possible to investigate relevant literature and theories to understand the flow of research and provide clues for empirical research. Also, strategically, it will be a clue to find out the meaning of the company to help the game consumers to search for information, to be reflected in the big data, and to increase the game utilization rate.
Abstract
The purpose of this study is to summarize recent research trends and discussions on the effects of internet information search volume and information search behavior on game performance and performance indicators using big data which along with fourth industrial revolution is an important factor. In particular, big data is experiencing a surge in the use of Big Data in the entertainment industry, which is dominated by extreme uncertainties. Therefore, we examine the relevant studies that resulted in big data variables being objectively valid. This study investigates the major researches on the search volume of internet information through Google Trend. In terms of consumer behavior, information search behaviors are theoretically sought to relate to big data, internet search volume, and game performance. Finally, we review recent research trends related to game performance and some indicators that can be applied to game performance. Based on this, it is possible to review the related studies on the use of big data, internet information search volume, and information search behavior in consumers in the future. We will establish a model for future empirical research and provide a basis for analyzing the correlation between the information retrieval amount and the game performance of the consumers who can create meaningful game industry performance, and before and after the causal relationship. Academically, it is possible to investigate relevant literature and theories to understand the flow of research and provide clues for empirical research. Also, strategically, it will be a clue to find out the meaning of the company to help the game consumers to search for information, to be reflected in the big data, and to increase the game utilization rate.
참고문헌 (37)
- Bank, M., "Google search volume and its influence on liquidity and returns of German stocks", Financial Markets and Portfolio Management, 25(3), pp.239~ (2011)
- Breyer, B. N., "Use of Google Insights for Search to Track Seasonal and Geographic Kidney Stone Incidence in the United States", Urology, 78(2), pp.267~271 (2011)
- Choe, Jeong-Uk, "Analysis of Demand Diffusion Patterns of Online Games Using Diffusion Model", The Korea Society of Management Information Systems Conference, pp.501~507 (2007)
- 최재혁, "빅데이터를 활용한 휴양림 이용객현황과 인터넷 검색어의 상관관계분석", 한국산림휴양학회지, 19(4), pp.13~23 (2015), 한국산림휴양복지학회
- 최진아, "엔씨소프트의 글로벌 시장 전략: 국제적 성장은 지속될 수 있는가?", 국제경영리뷰, 20(4), pp.181~209 (2016), 한국국제경영관리학회
- 최진아, "한국 온라인게임기업의 국제마케팅 전략에 관한 연구 - 일본에서의 현지화 전략을 중심으로", 국제경영리뷰, 15(3), pp.175~200 (2011), 한국국제경영관리학회
- Da, Z., "In search of attention", The Journal of Finance, 66(5), pp.1461~1499 (2011)
- Dellarocas, C., "Exploring the Value of Online Product Reviews in Forecasting Sales: The Case of Motion Pictures", Journal of Interactive Marketing, 21(4), pp.23~45 (2007)
- Du, R. Y., "Quantitative trendspotting", Journal of Marketing Research, 49(4), pp.514~536 (2012)
- Ettredge, M., "Using Web-based Search Data to Predict Macroeconomic Statistics", Communications of the ACM, 48(11), pp.87~92 (2005)
- Hawkins, D. I., "Consumer Behavior: Implications for Marketing Strategy" (1995), Irwin
- Hu, Y., "Decomposing the Impact of Advertising", Journal of Marketing Research, 51(3), pp.300~319 (2014)
- Jun, S. P., "A Study of the Method Using Search Traffic to Analyze New Technology Adoption", Technological Forecasting and Social Change, 81, pp.82~95 (2014)
- 전승표, "웹 검색트래픽을 활용한 소비자의 기대주기 비교 연구: 네이버와 구글 검색을 중심으로", 기술혁신학회지, 16(4), pp.1109~1133 (2013), 한국기술혁신학회
- 김철호, "B2C 국경간 전자상거래의 주요 쟁점에관한 연구", 무역통상학회지, 16(2), pp.307~326 (2016), 한국무역통상학회
- 김철호, "판매유형 분석을 통한 B2C 온라인 수출활성화 방안", 무역통상학회지, 17(3), pp.87~106 (2017), 한국무역통상학회
- 김현조, "성공적인 게임개발을 위한 기획요소분석 온라인게임을 중심으로", 한국컴퓨터게임학회논문지, (17), pp.79~89 (2009), (사)한국컴퓨터게임학회
- 김진규, "국내 게임의 글로벌 비즈니스 성공요인 분석", 글로벌문화콘텐츠, (6), pp.131~164 (2011), 글로벌 문화콘텐츠학회
- 김성호, "SNS 마케팅활동, e-WOM과 구매의도의 관계에 관한 연구: 한국과 몽골 이용자를 중심으로", 무역통상학회지, 16(4), pp.395~416 (2016), 한국무역통상학회
- 구평회, "인터넷 검색트렌드와 기업의 주가 및 거래량과의 관계에 대한 연구", 한국전자거래학회지, 20(2), pp.1~14 (2015), 한국전자거래학회[DOI]
- 권치명, "실업률 예측을 위한 인터넷 검색 정보의 활용", 한국시뮬레이션학회 논문지, 24(2), pp.31~39 (2015), 한국시뮬레이션학회
- 권치명, "인터넷 검색어를 활용한 계절적 유행성 독감 발생 감지", 한국시뮬레이션학회 논문지, 23(4), pp.31~39 (2014), 한국시뮬레이션학회
- Lee, Hyun Jin, "The Relationship Between Internet Search Data and Monthly Active Users of Game", Korean Academy of International Business Management, Spring Conference, pp.455~463 (2017)
- 이현진, "The Correlations Between Internet Game Search Data and Game Performance of Overseas Monthly Active Users", e-비즈니스연구, 18(5), pp.275~289 (2017), 국제e-비즈니스학회[DOI]
- Lee, Hyun-Jin, "The Relationship Between Internet Search Data and Monthly Active Users of Game", Master, pp.2017
- Li, X., "Forecasting Tourism Demand with Composite Search Index", Tourism Management, 59, pp.57~66 (2017)
- McAfee, A., "Big data. The Management Revolution", Harvard Business Reviews, 90(10), pp.61~67 (2012)
- Murphy, J., "How Information Foraging Styles Relate to Tourism Demographics and Behaviors", Journal of Vacation Marketing, 15(4), pp.299~309 (2009)
- 박정민, "모바일 게임의 크로스 프로모션이 소비자의 게임 수용태도에 미치는 영향", 한국산학기술학회논문지, 17(2), pp.112~122 (2016), 한국산학기술학회[DOI]
- 박나희, "인터넷 검색엔진을 활용한 키워드가 중국관광객 방한 수요에 미치는 영향 - 바이두 인덱스 자료를 적용 -", 관광학연구, 40(3), pp.159~174 (2016), 한국관광학회[DOI]
- 서태건, "게임기업 CEO의 관련사업경험이 경영성과에 미치는 영향에 관한 실증적 연구－사회적 자본의 조절효과를 중심으로－", 멀티미디어학회논문지, 18(11), pp.1408~1418 (2015), 한국멀티미디어학회[DOI]
- Su, B. C., "Characteristics of Consumer Search On-line: How Much Do We Search?", International Journal of Electronic Commerce, 13(1), pp.109~129 (2008)
- 엄명용, "확장된 기술수용모형을 이용한 온라인 게임 성공요인 분석 - 일본 게이머를 중심으로", 무역상무연구, 29(0), pp.173~196 (2006), 한국무역상무학회
- Vosen, S., "Forecasting Private Consumption: Survey‐Based Indicators vs. Google Trends", Journal of Forecasting, 30(6), pp.565~578 (2011)
- Warden, P., "Big Data Glossary" (2011), O'Reilly Media, Inc
- Yoo, Byoung-Woo, "The Effect of Marketing Communication Activities on Online Game Loyalty", Management Consulting Research, 6(1), pp.97~112 (2006)
- Zigmond, D., "Assessing a New Advertising Effect", Journal of Advertising Research, 50(2), pp.162~168 (2010)