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A Research on The Factors That Influence The Adoption of AI-Based Public Services in The Indonesian Government : 인도네시아 정부의 AI 기반 공공 서비스 도입에 영향을 미치는 요인 연구 : 인도네시아 Covid-19 챗봇 서비스 사례
Case of Indonesian Covid-19 Chatbot Service
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.advisor | 황준석 | - |
| dc.contributor.author | 시암술 | - |
| dc.date.accessioned | 2022-03-25T00:26:25Z | - |
| dc.date.available | 2022-03-25T00:26:25Z | - |
| dc.date.issued | 2021 | - |
| dc.identifier.other | 000000166646 | - |
| dc.identifier.uri | https://hdl.handle.net/10371/177439 | - |
| dc.identifier.uri | https://dcollection.snu.ac.kr/common/orgView/000000166646 | ko_KR |
| dc.description | 학위논문(석사) -- 서울대학교대학원 : 공과대학 협동과정 기술경영·경제·정책전공, 2021.8. 황준석. | - |
| dc.description.abstract | Currently, various countries have a national Artificial Intelligence (AI) as a reference to implement the strategies and identify the direction of government policies. AI encompasses a wide range of technologies, one of which is the chatbot platform that can increase efficiency, save time and budget, and provide higher quality public services. Furthermore, in 2019, the Indonesian government released the features of the chatbot platform, which has 2 million users from a total population of 250 million people. Therefore, this study aims to examine the current problems in adopting a chatbot platform using technological, organizational, and environmental (TOE) framework approach. The results show recommendations on the aspects to be considered when adopting AI-based public services. | - |
| dc.description.abstract | 최근 들어, 많은 국가에서 인공지능(AI; Artificial Intelligence) 기반 사회를 위한 AI 구축 전략을 쓰고 있다. AI는 다양한 기술을 필요로 하며 적용사례를 사회 전반에서 찾아볼 수 있는데, 그중 하나는 시간, 비용적으로 효율적이며 높은 질의 공공 서비스 제공이 가능한 챗봇이다. 2019년 인도네시아 정부는 코로나-19 감염증에 관련된 기본적인 정보를 제공할 수 있는 AI 기반 챗봇을 출시했는데, 약 2억 5천만 인구 중 약 2백만 명 만이 사용했다. 본 연구의 목적은 인도네시아에서 챗봇 서비스를 보급하는 데에 있어서 문제가 되는 기술적, 조직적, 환경적 요인들을 조사하는 것이며, 이를 바탕으로 보급을 위해 고려 할 만한 사항들을 인도네시아 정부에 추천하는 것이다. | - |
| dc.description.tableofcontents | Chapter 1. Introduction １
1.1 Research Background １ 1.2 Research Purpose ４ 1.3 Scope of the Research ７ 1.4 Research Methodology ７ Chapter 2. Theoretical Background and Hypotheses Development ８ 2.1 Platform ８ 2.1.1 Platform Issues ９ 2.1.2 Security Issues １０ 2.2 Indonesian Government Policy １１ 2.2.1 Roadmap eGovernment １４ 2.2.2 Indonesian Broadband Plan １８ 2.2.3 The movement towards 100 Smart Cities ２１ 2.2.4 National Artificial Intelligence Strategy ２２ 2.3 Artificial Intelligence ２４ 2.3.1 Chatbot Platform ２６ 2.3.2 AI Ethics ２９ 2.4 TOE Framework ３１ 2.5 Structure Equation Modeling (SEM) ３５ 2.5.1 SEM Relationship Model ３６ 2.5.2 Partial Least Squares (PLS) ３８ 2.6 Hypotheses Development ３９ 2.6.1 Technology ３９ 2.6.1.1 Perceived Usefulness ４０ 2.6.1.2 ICT Expertise ４０ 2.6.1.3 ICT Infrastructure ４１ 2.6.2 Organization ４１ 2.6.2.1 Top Management Support ４２ 2.6.2.2 Staff Capacity ４２ 2.6.3 Environment ４３ 2.6.3.1 Regulatory Environment ４３ 2.6.3.2 Citizen Participation ４４ Chapter 3. Research Methodology ４５ 3.1 Qualitative approaches ４５ 3.2 Quantitative approaches ４６ 3.2.1 Population and Sample ４７ 3.3 Data Collection ４８ 3.3.1 Survey ４８ 3.3.2 Survey Instrument ４８ Chapter 4. Analysis and Results ５３ 4.1 Demographic Data of Respondents ５３ 4.1.1 Origin of the institution ５３ 4.1.2 Role in the Institution ５４ 4.1.3 Age ５５ 4.1.4 The number of public services under the institution ５５ 4.1.5 Status of AI-based public services implementation ５６ 4.1.6 Respondents Demographics Summary ５７ 4.2 Data Analysis using SEM Method Using SmartPLS 3.3.2 ５７ 4.2.1 Path diagram formation ５８ 4.2.2 Evaluation of Measurement Model (Outer Model) ５８ 4.2.2.1 The convergent validity examination analysis ５９ 4.2.3 Evaluation of Structural Model ６３ 4.2.3.1 Path Coefficients ６３ 4.2.3.2 Coefficients of Determinant (R2) ６４ 4.2.3.3 Hypothesis test ６５ 4.2.3.4 Effect Size (f2) ６６ 4.3 Discussion of Analysis Results ６７ 4.3.1 Relationship between Perceived usefulness, ICT Expertise, and ICT Infrastructure with technological dimensions. ８１ 4.3.2 Relationship between Top Management Support and Staff Capacity with Organizational dimensions. ８２ 4.3.3 Relationship between Regulatory Environment and Citizen Participation with environment dimensions. ８４ 4.3.4 Relationship between Technology dimension with Intention to adoption ８６ 4.3.5 Relationship between Organizational dimension with Intention to adoption ８７ 4.3.6 Relationship between Environment dimension with Intention to adoption ８８ 4.4 Implication ８９ 4.4.1 Theoretical Implication ８９ 4.4.2 Practical Implication ９０ Chapter 5. Conclusion and Limitation ９２ 5.1 Discussion ９２ 5.2 Model Comparison ９６ 5.3 Limitation and Future Research ９７ Bibliography ９９ Questioner １０４ Summary Measurement Model １０７ | - |
| dc.format.extent | ix, 108 | - |
| dc.language.iso | eng | - |
| dc.publisher | 서울대학교 대학원 | - |
| dc.subject | Artificial Intelligence | - |
| dc.subject | AI-based public services | - |
| dc.subject | Chatbot platform service | - |
| dc.subject | TOE framework | - |
| dc.subject | adoption intention | - |
| dc.subject | 인공지능 | - |
| dc.subject | 인공지능 기반 공공 서비스 | - |
| dc.subject | 챗봇 서비스 | - |
| dc.subject | 기술 조직환경 토대(TOE | - |
| dc.subject | Technology- Organizations-Environment) | - |
| dc.subject.ddc | 658.514 | - |
| dc.title | A Research on The Factors That Influence The Adoption of AI-Based Public Services in The Indonesian Government | - |
| dc.title.alternative | 인도네시아 정부의 AI 기반 공공 서비스 도입에 영향을 미치는 요인 연구 : 인도네시아 Covid-19 챗봇 서비스 사례 | - |
| dc.type | Thesis | - |
| dc.type | Dissertation | - |
| dc.contributor.AlternativeAuthor | Syamsul Arifin | - |
| dc.contributor.department | 공과대학 협동과정 기술경영·경제·정책전공 | - |
| dc.description.degree | 석사 | - |
| dc.date.awarded | 2021-08 | - |
| dc.title.subtitle | Case of Indonesian Covid-19 Chatbot Service | - |
| dc.identifier.uci | I804:11032-000000166646 | - |
| dc.identifier.holdings | 000000000046▲000000000053▲000000166646▲ | - |
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