패키징(Packaging) 분야에서의 빅데이터(Big data) 적용방안 연구 = Study on Application of Big Data in Packaging

다국어 초록 (Multilingual Abstract)

The Big Data, the element of the Fourth Industrial Revolution, is drawing attention as the 4th Industrial Revolution is mentioned in the 2016 World Economic Forum. Big Data is being used in various fields because it predicts the near future and can create new business. However, utilization and research in the field of packaging are lacking. Today packaging has been demanded marketing elements that effect on consumer choice. Big data is actively used in marketing. In the marketing field, big data can be used to analyze sales information and consumer reactions to produce meaningful results. Therefore, this study proposed a method of applying big data in the field of packaging focusing on marketing. In this study suggest that try to utilize the private data and community data to analyze interaction between consumers and products. Using social big data will enable to understand the preferred packaging and consumer perceptions and emotions in the same product line. It can also be used to analyze the effects of packaging among various components of the product. Packaging is one of the many components of the product. Therefore, it is not easy to understand the impact of a single packaging element. However, this study presents the possibility of using Big Data to analyze the perceptions and feelings of consumers about packaging.

참고문헌 (Reference)

1 김경선, "포장디자인이 소비자 태도 및 구매의도에 미치는 영향 -비누제품을 중심으로-" 한국디자인트렌드학회 (30) : 33-42, 2011

2 공용준, "클라우드 API를 활용한 빅데이터 분석, 에이콘" 양천구 29-57, 2015

3 이태준, "정책PR 분야에서 소셜 빅데이터 어낼리틱스 활용가능성 연구" 한국PR학회 19 (19): 355-384, 2015

4 Chae, S. B, "정보홍수 속에서 金脈 찾기 : ‘빅데이터(Big Data)’ 분석과 활용" Samsung Economic Research Institute 2011

5 송태민, "소셜 빅데이터를 활용한 인터넷 중독 위험예측 모형" 한국보건사회연구원 34 (34): 106-134, 2014

6 김형중, "소셜 빅데이터 분석을 통한 소비자 가치 인식 연구: 신규 스마트폰을 중심으로" 한국전자거래학회 22 (22): 123-146, 2017

7 공효순, "소셜 빅 데이터를 이용한 여행사 평가에 관한 연구" 한국정보통신학회 19 (19): 2241-2246, 2015

8 장미화, "소셜 미디어 빅데이터 분석을 통한 캠핑에 대한 정부 정책과 국민들의 인식 변화 연구" 대한관광경영학회 31 (31): 91-112, 2016

9 윤미영, "빅데이터로 진화하는 세상" 한국정보화진흥원 33-34, 2012

10 (사) 한국소프트웨어기술인협회 빅데이터전략 연구소, "빅데이터 개론" 광문각 304-318, 2016

11 함유근, "구성 요소들로 본 빅데이터 비즈니스 모델의 특성: 한미 화장품 빅데이터 비즈니스 사례 비교 분석" 한국엔터프라이즈아키텍처학회 13 (13): 63-75, 2016

12 "https://www.forbes.com/sites/moorinsights/2015/10/01/whatdoes-food-packaging-have-to-do-with-big-data-and-the-internetof-things/2/#7317480869af"

13 "http://hadoop.apache.org/docs/current/hadoop-project-dist/hadoop-hdfs/HdfsDesign.html"

14 Song, T. M, "Using social big data predictive future signal: With special reference to the major policy issues of health and welfare" 17-30, 2016

15 Gartner, "Top 10 Strategic Technology Trends for 2013 Special Report"

16 Silayoi, P, "The importance of packaging attributes: A conjoint analysis approach" 41 : 1495-1517, 2007

17 Bello-Orgaz, G, "Social big data : Recent achievements and new challenges" 28 : 45-59, 2016

18 Im, K. H, "SNS bigdata analysis technology trend and development direction" 15 : 38-43, 2017

19 Jung, S. C, "REST based call/messaging open API for telecommunication services" 521-524, 2008

20 Kotler, P, "Marketing insights from A to Z: 80 concepts every manager needs to know" John Wiley & Sons 186-190, 2003

21 Jeong, H. Y, "Influence measurement based on sentiment analysis of SNS users" 2 : 11-23, 2015

22 Jeong, D. H, "Implementaion of rest open API web services for an IoT-based agrlcultural environment information collection system" 1 : 333-334, 2014

23 Ahmad, A. M. K, "Factors influence on packaging design in an impulse consumer purchasing behavior: A case study of doritos pack" 7 : 92-, 2015

24 Sagiroglu, S, "Collaboration Technologies and Systems (CTS)" IEEE 42-47, 2013

25 Manyika, J, "Big data: The next frontier for innovation, competition, and productivity" McKinsey Global Institute 2011

26 Erevelles, S, "Big data consumer analytics and the transformation of marketing" 69 : 897-904, 2016

27 George, G, "Big data and management" 57 : 321-326, 2014

28 Kim, J. S, "Big Data Utilization and Analysis Techniques" Korea University 2013

29 Ham, Y, "Big Data Changing Business" Samsung Economic Research Institute 2012

30 Singh, S, "Big Data Analytics" IEEE 2011

31 Lee, B. R, "An identification on big data application fields by utilizing journal bibliographic coupling analysis" 19-22, 2016

32 Yang, M. H, "An awareness identification and preference analysis for domestic university using SNS data" 1 : 1-13, 2014