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Special Graduate Schools
Graduate School of Science and Technology
Department of Industrial Engineering
3. Theses(Master)
스마트폰의 수요 예측과 수요 확산의 영향 요인
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.advisor | 이성주 | - |
| dc.contributor.author | 강영모 | - |
| dc.date.accessioned | 2018-11-08T08:00:09Z | - |
| dc.date.available | 2018-11-08T08:00:09Z | - |
| dc.date.issued | 2013-02 | - |
| dc.identifier.other | 13600 | - |
| dc.identifier.uri | https://dspace.ajou.ac.kr/handle/2018.oak/9627 | - |
| dc.description | 학위논문(석사)아주대학교 일반대학원 :산업공학과,2013. 2 | - |
| dc.description.tableofcontents | 1. 서론 2. 연구 배경 2.1 이론적 배경 2.1.1 스마트폰의 기술확산 2.1.2 스마트폰의 기능속성 2.2 방법론적 배경 2.2.1 마코프체인 2.2.2 기술수용모형 2.2.3 의사결정나무 3. 연구 방법론 3.1 연구 프로세스 3.2 스마트폰 수요 예측: 전이확산 모형 3.3 스마트폰 채택 요인: 기술수용 모형 4. 연구 결과 4.1 스마트폰 수요 예측 4.1.1 데이터 수집 4.1.2 분석 및 결과 4.2 스마트폰 채택 요인 4.2.1 데이터 수집 4.2.2 분석 및 결과 5. 토의 및 결론 참고문헌(Reference | - |
| dc.language.iso | kor | - |
| dc.publisher | The Graduate School, Ajou University | - |
| dc.rights | 아주대학교 논문은 저작권에 의해 보호받습니다. | - |
| dc.title | 스마트폰의 수요 예측과 수요 확산의 영향 요인 | - |
| dc.type | Thesis | - |
| dc.contributor.affiliation | 아주대학교 일반대학원 | - |
| dc.contributor.department | 일반대학원 산업공학과 | - |
| dc.date.awarded | 2013. 2 | - |
| dc.description.degree | Master | - |
| dc.identifier.localId | 570895 | - |
| dc.identifier.url | http://dcoll.ajou.ac.kr:9080/dcollection/jsp/common/DcLoOrgPer.jsp?sItemId=000000013600 | - |
| dc.description.alternativeAbstract | Smartphones have recently come under the spotlight as alternatives to feature phones in the cellular phone market. With the importance of this market change, however, most previous studies on smartphones have been conducted on the assumption that the smartphone is used as a specialised tool for a particular purpose, such as smartphones for logistics or smartphones for medical services. Since more and more consumers are adopting smartphones as tools for general use in their everyday lives, it is worth focusing on general consumers. Also existing diffusion model has limitation that it doesn't consider mutual relation about multiple services or products. Therefore, this study proposes displace diffusion model for forecasting demand of smartphones, and investigates factors affecting the adoption of smartphones in the cellular phone market, particularly focusing on the differences of smartphone users and feature phone users. For the purpose of analysis, Markov Chain, Technology Acceptance Model and Decision Tree were used as main research methods, and surveys were used to reflect customer opinion. Research findings are expected to help understand the diffusion process of smartphones and to help further develop an effective marketing and R&D strategy in the cellular phone market. | - |
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