IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v15y2023i22p15679-d1275296.html
   My bibliography  Save this article

Future Service Robot Scenarios in South Korea

Author

Listed:
  • Uijin Jung

    (Korea Institute of Science and Technology Evaluation and Planning, Chungbuk Innovation City 27740, Republic of Korea)

  • Jinseo Lee

    (Korea Research Institute of Chemical Technology, Daejeon 34114, Republic of Korea)

  • Ji-Young Choi

    (Department of Sociology, Korea University, Seoul 02841, Republic of Korea)

  • Hyun Yim

    (Korea Institute of Science and Technology Evaluation and Planning, Chungbuk Innovation City 27740, Republic of Korea)

  • Myoung-Jin Lee

    (Department of Sociology, Korea University, Seoul 02841, Republic of Korea)

Abstract

Advances in digital technology, periodic threats from infectious diseases, and shrinking working-age populations have increased the demand for autonomous systems. South Korea is now in crisis because its society is aging and has limited resources. The implementation of service robots is one of the possible alternative plans that has been receiving attention both for sustainable economic growth and as a solution to social problems. However, many things should be considered for service robots to be widely used in society. The aim of this study was to identify key factors that will affect the future of service robots and discuss corresponding policy measures. Four scenarios were developed using general morphology analysis (GMA). The scenarios were defined according to six key factors: technological development, infrastructure development, commercial acceptance, social acceptance, policy and regulatory environments, and technological competition. In scenario A, policy measures need to ensure that South Korea will continue as a global service robot leader. In scenario B, it is necessary to narrow the gap between South Korea and competitors in terms of service robot technology development and adoption. In scenario C-1, policies should encourage the adoption of service robot technologies both domestically and abroad. In scenario C-2, it is necessary to develop service robot technologies and promote the service robot industry.

Suggested Citation

  • Uijin Jung & Jinseo Lee & Ji-Young Choi & Hyun Yim & Myoung-Jin Lee, 2023. "Future Service Robot Scenarios in South Korea," Sustainability, MDPI, vol. 15(22), pages 1-19, November.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:22:p:15679-:d:1275296
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/15/22/15679/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/15/22/15679/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Yun, JinHyo Joseph & Won, DongKyu & Jeong, EuiSeob & Park, KyungBae & Yang, JeongHo & Park, JiYoung, 2016. "The relationship between technology, business model, and market in autonomous car and intelligent robot industries," Technological Forecasting and Social Change, Elsevier, vol. 103(C), pages 142-155.
    2. Meyer, Patrick & Roth, Angela & Gutknecht, Klaus, 2023. "Service robots in organisational frontlines—A retail managers’ perspective," Journal of Retailing and Consumer Services, Elsevier, vol. 70(C).
    3. Liu, Yun & Wang, Xingyuan & Wang, Shuyang, 2022. "Research on service robot adoption under different service scenarios," Technology in Society, Elsevier, vol. 68(C).
    4. Dominic Stead & David Banister, 2003. "Transport policy scenario-building," Transportation Planning and Technology, Taylor & Francis Journals, vol. 26(6), pages 513-536, December.
    5. Johansen, Iver, 2018. "Scenario modelling with morphological analysis," Technological Forecasting and Social Change, Elsevier, vol. 126(C), pages 116-125.
    6. Georgeta Soava & Anca Mehedintu & Mihaela Sterpu, 2022. "Analysis and Forecast of the Use of E-Commerce in Enterprises of the European Union States," Sustainability, MDPI, vol. 14(14), pages 1-29, July.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Wenjia Li & Huangyi Ding & Jingjing Gui & Qinghe Tang, 2024. "Patient acceptance of medical service robots in the medical intelligence era: an empirical study based on an extended AI device use acceptance model," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-13, December.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Culot, Giovanna & Orzes, Guido & Sartor, Marco & Nassimbeni, Guido, 2020. "The future of manufacturing: A Delphi-based scenario analysis on Industry 4.0," Technological Forecasting and Social Change, Elsevier, vol. 157(C).
    2. Spaniol, Matthew J. & Rowland, Nicholas J., 2022. "Business ecosystems and the view from the future: The use of corporate foresight by stakeholders of the Ro-Ro shipping ecosystem in the Baltic Sea Region," Technological Forecasting and Social Change, Elsevier, vol. 184(C).
    3. Fabio Antonialli & Bruna Habib Cavazza & Rodrigo Gandia & Isabelle Nicolaï & Arthur de Miranda Neto & Joel Sugano & André Luiz Zambalde, 2020. "Human or machine driving? Comparing autonomous with traditional vehicles value curves and motives to use a car," Post-Print halshs-03687616, HAL.
    4. Jinhyo Joseph Yun & Xiaofei Zhao & KyungBae Park & Lei Shi, 2020. "Sustainability Condition of Open Innovation: Dynamic Growth of Alibaba from SME to Large Enterprise," Sustainability, MDPI, vol. 12(11), pages 1-24, May.
    5. Elina Hiltunen & Aki‐Mauri Huhtinen, 2024. "Science fiction in military planning—Case allied command transformation and visions of warfare 2036," Futures & Foresight Science, John Wiley & Sons, vol. 6(3), September.
    6. Wolfgang Weimer-Jehle & Stefan Vögele & Wolfgang Hauser & Hannah Kosow & Witold-Roger Poganietz & Sigrid Prehofer, 2020. "Socio-technical energy scenarios: state-of-the-art and CIB-based approaches," Climatic Change, Springer, vol. 162(4), pages 1723-1741, October.
    7. Rodrigo Marçal Gandia & Fabio Antonialli & Bruna Habib & Arthur De Miranda Neto & Danilo Alves de Lima & Joel Yutaka & André Luiz & Isabelle Nicolaï, 2017. "Autonomous vehicles: Scientometric and bibliometric studies," Post-Print hal-01652939, HAL.
    8. Ta-Kai Yang & Min-Ren Yan, 2019. "Exploring the Enablers of Strategic Orientation for Technology-Driven Business Innovation Ecosystems," Sustainability, MDPI, vol. 11(20), pages 1-19, October.
    9. Suh, Yongyoon & Jeon, Jeonghwan, 2019. "Monitoring patterns of open innovation using the patent-based brokerage analysis," Technological Forecasting and Social Change, Elsevier, vol. 146(C), pages 595-605.
    10. Dell'Era, Claudio & Di Minin, Alberto & Ferrigno, Giulio & Frattini, Federico & Landoni, Paolo & Verganti, Roberto, 2020. "Value capture in open innovation processes with radical circles: A qualitative analysis of firms’ collaborations with Slow Food, Memphis, and Free Software Foundation," Technological Forecasting and Social Change, Elsevier, vol. 158(C).
    11. Mohamed Shawesh & Kolawole Iyiola & Ahmad Alzubi, 2024. "Innovation Eco-Embeddedness, Breakthrough Innovation, and Performance of Non-Core Firms: A Mediation Moderation Study," Sustainability, MDPI, vol. 16(20), pages 1-24, October.
    12. Leogrande, Angelo & Drago, Carlo & Arnone, Massimo, 2024. "Analyzing Regional Disparities in E-Commerce Adoption Among Italian SMEs: Integrating Machine Learning Clustering and Predictive Models with Econometric Analysis," MPRA Paper 122115, University Library of Munich, Germany.
    13. Tong, Xinjia & Chen, Yuangao & Zhou, Shasha & Yang, Shuiqing, 2022. "How background visual complexity influences purchase intention in live streaming: The mediating role of emotion and the moderating role of gender," Journal of Retailing and Consumer Services, Elsevier, vol. 67(C).
    14. Pel, Bonno & Raven, Rob & van Est, Rinie, 2020. "Transitions governance with a sense of direction: synchronization challenges in the case of the dutch ‘Driverless Car’ transition," Technological Forecasting and Social Change, Elsevier, vol. 160(C).
    15. Darja Topolšek & Dario Babić & Darko Babić & Tina Cvahte Ojsteršek, 2020. "Factors Influencing the Purchase Intention of Autonomous Cars," Sustainability, MDPI, vol. 12(24), pages 1-16, December.
    16. Yao, Qi & Hu, Chao & Zhou, Wenkai, 2024. "The impact of customer privacy concerns on service robot adoption intentions: A credence/experience service typology perspective," Technological Forecasting and Social Change, Elsevier, vol. 198(C).
    17. Helena Sustar & Miloš N. Mladenović & Moshe Givoni, 2020. "The Landscape of Envisioning and Speculative Design Methods for Sustainable Mobility Futures," Sustainability, MDPI, vol. 12(6), pages 1-24, March.
    18. Rodrigo Marçal Gandia & Fabio Antonialli & Bruna Habib Cavazza & Arthur Miranda Neto & Danilo Alves de Lima & Joel Yutaka Sugano & Isabelle Nicolai & Andre Luiz Zambalde, 2019. "Autonomous vehicles: scientometric and bibliometric review," Transport Reviews, Taylor & Francis Journals, vol. 39(1), pages 9-28, January.
    19. Yun, JinHyo Joseph & Won, DongKyu & Park, KyungBae & Jeong, EuiSeob & Zhao, Xiaofei, 2019. "The role of a business model in market growth: The difference between the converted industry and the emerging industry," Technological Forecasting and Social Change, Elsevier, vol. 146(C), pages 534-562.
    20. Kim, Hyunuk & Ahn, Sang-Jin & Jung, Woo-Sung, 2019. "Horizon scanning in policy research database with a probabilistic topic model," Technological Forecasting and Social Change, Elsevier, vol. 146(C), pages 588-594.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:15:y:2023:i:22:p:15679-:d:1275296. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.