본문 바로가기
KERD
논문KCI 등재

인공지능 기술(AI)의 도입에 따른 관광산업 직무대체수준 및 영향에 관한 탐색적 연구 - 대학생을 중심으로 -

A Exploratory Study on the Recognition for Job Replacement Level and Influences of Artificial Intelligence Technology - Focus on University Students -

0

조회

0

다운로드

16

인용

0

참고문헌

키워드

주제분류관광학

초록

As the age of the fourth industrial revolution comes, automation technologies such as machine learning and artificial intelligence are affecting the profession of the tourism industry. Within the next 10 years, artificial intelligence technology is increasingly applied to various fields of the tourism industry. The more specific purpose of this study was to analyze the recognition of university students for job replacement level and influences of artificial intelligence. Data collection was carried on Oct, 2016 for 125 university students. As for the results of analysis, the possibility of substituting the artificial intelligence technology by occupation of tourism industry shows that tourist interpretation guides(61.8%) is the highest and casino dealers(53.2%), golf course caddies(53.2%) are also high. It also shows that the development of artificial intelligence technology is expected to be influential throughout the tourism sector in the near future, it is inevitable that a collaborative network both academia and industry sector should be established. especially, it is said that they should train artificial intelligence and big data experts in tourism field. Several academic and practical implications are suggested.

Abstract

As the age of the fourth industrial revolution comes, automation technologies such as machine learning and artificial intelligence are affecting the profession of the tourism industry. Within the next 10 years, artificial intelligence technology is increasingly applied to various fields of the tourism industry. The more specific purpose of this study was to analyze the recognition of university students for job replacement level and influences of artificial intelligence. Data collection was carried on Oct, 2016 for 125 university students. As for the results of analysis, the possibility of substituting the artificial intelligence technology by occupation of tourism industry shows that tourist interpretation guides(61.8%) is the highest and casino dealers(53.2%), golf course caddies(53.2%) are also high. It also shows that the development of artificial intelligence technology is expected to be influential throughout the tourism sector in the near future, it is inevitable that a collaborative network both academia and industry sector should be established. especially, it is said that they should train artificial intelligence and big data experts in tourism field. Several academic and practical implications are suggested.

참고문헌 (37)

  1. 제4차 산업혁명 시대, 미래사회 변화에 대한 전략적 대응 방안 모색, "김진하", KISTEP, ~ (2016)
  2. 4차 산업혁명이 직업세계에 미치는 영향. 4차 산업혁명에 대한 재직자 인식 조사. 2016년(9월호) 고용이슈 보고서, "김한준", ~ (2016)
  3. 9대 국가전략 프로젝트별 시장·기술 분석과 대응전략(1). 4차 산업 혁명을 주도하는 인공지능(AI) 기술의 시장 동향 및 주요 이슈 종합분석보고서, "산업경제리서치", ~ (2016)
  4. 인공지능(AI), 로봇, 드론 기술, 시장 실태와 전망 보고서, "산업경제리서치", ~ (2016)
  5. 글로벌 인공지능(AI) 기술개발, 수요시장 동향과 유력기업 사업 추 진전략 보고서, "산업경제리서치", ~ (2016)
  6. 이웅규, "알파고 시대의 관광산업 분야의 인적자원 개발방안 연구", 한국호텔리조트학회 제29차 추계 학술발대대회 논문집, pp.177~190 (2016)
  7. "인간과 대결하던 '인공지능'서 인간을 돕는 '확장지능'으로" (2017)[URL]
  8. "내 상담원이 로봇이라면?…보험상담부터 숙박예약까지 챗봇 도입 가속화" (2017)[URL]
  9. 중앙일보, "10년 후 세상" (2012), 청림출판
  10. 최윤식, "2030 대담한 미래2: 미래의 기회와 전략적 승부" (2015), (주)지식노마드
  11. 클라우드 슈밥, "클라우드 슈밥의 제4차 산업혁명" (2016), 메가스터디(주)
  12. 한학진, "인공지능(AI)기술과 관광산업의 관계", 한국호텔리조트학회 2016년 추계학술대회 발표자료집, pp.35~49 (2016)
  13. 현대경제연구원, "2016년 다보스 포럼 주요 내용과 시사점", Weekly Economic Review, 16(2), pp.1~16 (2016)
  14. Autor, D., "Why Are There Still So Many Jobs? The History and Future of Workplace Automation", Journal of Economic Perspectives, 29(3) (2015)
  15. Boston Consulting Group, "Man and Machine in Industry 4.0", ~ (2015)
  16. Economist, "The Return of the Machinery Question", ~ (2016)
  17. James Bessen, "Employers Aren't Just Whining – the ''Skills Gap'' Is Real", ~ (2014)
  18. Economist, "Scarce Skills, Not Scarce Jobs", ~ (2015)
  19. The Future of Employment : How susceptible are jobs to computerisation?, "Frey, C. B.", Oxford Martin School, ~ (2013)
  20. "EU regulations on algorithmic decision-making and a right to explanation" (2016)[URL]
  21. Haiyan S., "Combining statistical and judgmental forecasts via a web-based tourism demand forecasting system", International Journal of Forecasting, 29(2), pp.295~310 (2010)
  22. IPPR, "Technology, Globalisation and The Future of Work in Europe", ~ (2015)
  23. Mckinsey & Company, "The World at Work; Jobs, pay and skills for 3.5 billion people" (2012)
  24. Mckinesy & Company, "Four Fundamentals of Workplace Automation" (2015)
  25. Michael C., "Where machines could repalce humans -and where they can't(yet)" (2016), McKinsey Quarterly
  26. Morajda J., "Neural networks and their economic applications. Published in:Artificial intelligence and security in computing systems" (2003), Kluwer Academic Publishers Norwell
  27. Stalidis, G., "Tourist destination marketing supported by electronic capitalization of knowledge", The 2nd International Conference on Strategic Innovative Marketing (2013)
  28. UBS, "Extreme automation and Connectivity : The global, regional, and investment implications of the Fourth Industrial Revolution", White Paper for the World Economic Forum Annual Meeting 2016 (2016)
  29. Deep shift technology tipping points and societal impact, "World Economic Forum", World Economic Forum, ~ (2015)
  30. New vision for education: Unlocking the potential of technology, "World Economic Forum", World Economic Forum, ~ (2015)
  31. "New vision for education" (2016)[URL]

관련 논문AI추천

이 간행물의 다른 논문 (15건)