IDEAS home Printed from https://ideas.repec.org/a/bdu/ogjppm/v2y2023i1p1-11id1954.html

Impact of Artificial Intelligence on Purchasing and Procurement in South Korea

Author

Listed:
  • Chung Lee

Abstract

Purpose: The study sought to analyze the impact of artificial intelligence on purchasing and procurement in South Korea Methodology: The research was conducted entirely on computers. Secondary data, or data that doesn't require actual observation in the field, are the focus of desk research. Because it requires little more than an executive's time, telephone rates, and directories, desk research is generally seen as a low-cost strategy in comparison to field research. As a result, the research used data that had already been collected and reported. This secondary data was readily available via the internet's digital library and scholarly articles. Findings: The results show that the impact of AI on purchasing and procurement is significant. AI is used in automate manual tasks, reducing costs and improve accuracy. It also provides insights into purchasing and procurement processes that have previously been difficult to quantify. AI is a powerful tool that is used to improve the efficiency and effectiveness of the purchasing and procurement process. South Korea is making great strides in the use of AI and the impact it is having on purchasing and procurement is clear. Unique Contribution to Theory, Practice and Policy: Future research in the field of purchasing and procurement may be grounded in the rational economic theory and the resource based view theory. Policymakers, researchers, and academics from all across the world will all stand to gain from this study's findings. Executives in charge of national purchasing and procurement initiatives will also use the study's findings to boost artificial intelligence performance across the board. The research suggests that the purchasing and procurement sector should implement technological policies to boost the effectiveness of their primary operations and activities.

Suggested Citation

  • Chung Lee, 2023. "Impact of Artificial Intelligence on Purchasing and Procurement in South Korea," Global Journal of Purchasing and Procurement Management, IPRJB, vol. 2(1), pages 1-11.
  • Handle: RePEc:bdu:ogjppm:v:2:y:2023:i:1:p:1-11:id:1954
    as

    Download full text from publisher

    File URL: https://iprjb.org/journals/GJPPM/article/view/1954
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Emma Brandon-Jones & Brian Squire & Chad W. Autry & Kenneth J. Petersen, 2014. "A Contingent Resource-Based Perspective of Supply Chain Resilience and Robustness," Journal of Supply Chain Management, Institute for Supply Management, vol. 50(3), pages 55-73, July.
    2. Myung-Hun Kim & Eul-Bum Lee, 2019. "A Forecast Model for the Level of Engineering Maturity Impact on Contractor’s Procurement and Construction Costs for Offshore EPC Megaprojects," Energies, MDPI, vol. 12(12), pages 1-18, June.
    3. Thibaut Théate & Sébastien Mathieu & Damien Ernst, 2020. "An Artificial Intelligence Solution for Electricity Procurement in Forward Markets," Energies, MDPI, vol. 13(23), pages 1-17, December.
    4. Jacinta Chan Phooi M’ng & Mohammadali Mehralizadeh, 2016. "Forecasting East Asian Indices Futures via a Novel Hybrid of Wavelet-PCA Denoising and Artificial Neural Network Models," PLOS ONE, Public Library of Science, vol. 11(6), pages 1-29, June.
    5. Hong Chen & Ling Li & Yong Chen, 2021. "Explore success factors that impact artificial intelligence adoption on telecom industry in China," Journal of Management Analytics, Taylor & Francis Journals, vol. 8(1), pages 36-68, January.
    6. Thibaut Th'eate & S'ebastien Mathieu & Damien Ernst, 2020. "An Artificial Intelligence Solution for Electricity Procurement in Forward Markets," Papers 2006.05784, arXiv.org, revised Dec 2020.
    7. Su-Yol Lee, 2021. "Sustainable Supply Chain Management, Digital-Based Supply Chain Integration, and Firm Performance: A Cross-Country Empirical Comparison between South Korea and Vietnam," Sustainability, MDPI, vol. 13(13), pages 1-13, June.
    8. James Johnson, 2019. "Artificial intelligence & future warfare: implications for international security," Defense & Security Analysis, Taylor & Francis Journals, vol. 35(2), pages 147-169, April.
    9. Xueming Luo & Siliang Tong & Zheng Fang & Zhe Qu, 2019. "Frontiers: Machines vs. Humans: The Impact of Artificial Intelligence Chatbot Disclosure on Customer Purchases," Marketing Science, INFORMS, vol. 38(6), pages 937-947, November.
    10. Hasan Beyari & Hatem Garamoun, 2022. "The Effect of Artificial Intelligence on End-User Online Purchasing Decisions: Toward an Integrated Conceptual Framework," Sustainability, MDPI, vol. 14(15), pages 1-17, August.
    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. Harald Konnerth, 2023. "Artificial Intelligence (Ai) In E-Procurement: A Literature Review," Economy & Business Journal, International Scientific Publications, Bulgaria, vol. 17(1), pages 98-113.

    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. Justyna Łapińska & Iwona Escher & Joanna Górka & Agata Sudolska & Paweł Brzustewicz, 2021. "Employees’ Trust in Artificial Intelligence in Companies: The Case of Energy and Chemical Industries in Poland," Energies, MDPI, vol. 14(7), pages 1-20, April.
    2. Urbani, Roberto & Ferreira, Caitlin & Lam, Joey, 2024. "Managerial framework for evaluating AI chatbot integration: Bridging organizational readiness and technological challenges," Business Horizons, Elsevier, vol. 67(5), pages 595-606.
    3. Darima Fotheringham & Michael A. Wiles, 2023. "The effect of implementing chatbot customer service on stock returns: an event study analysis," Journal of the Academy of Marketing Science, Springer, vol. 51(4), pages 802-822, July.
    4. Stine Grodal & Jaekyung Ha & Elizabeth Hood & Micah Rajunov, 2024. "Between Humans and Machines : The social construction of the generative AI category," Post-Print hal-04731673, HAL.
    5. Meng, Lu (Monroe) & Li, Tongmao & Shi, Xiaolin (Crystal) & Huang, Xin, 2023. "Double-sided messages improve the acceptance of chatbots," Annals of Tourism Research, Elsevier, vol. 102(C).
    6. Tapio Riepponen & Mikko Moilanen & Jaakko Simonen, 2023. "Themes of resilience in the economics literature: A topic modeling approach," Regional Science Policy & Practice, Wiley Blackwell, vol. 15(2), pages 326-356, April.
    7. Tinglong Dai & Sridhar Tayur, 2022. "Designing AI‐augmented healthcare delivery systems for physician buy‐in and patient acceptance," Production and Operations Management, Production and Operations Management Society, vol. 31(12), pages 4443-4451, December.
    8. Muhammad Nur Firdaus Nasir & Iqbal Jaapar & Walid Muhmmad Syafrien Effendi & Fadly Mohamed Sharif & Khairulwafi Mamat & Nurul Farhana Nasir, 2024. "Exploring the Role of Artificial Intelligence in the Design Industry: Client Satisfaction through Enhancing Quality while Preserving Human Creativity," International Journal of Research and Innovation in Social Science, International Journal of Research and Innovation in Social Science (IJRISS), vol. 8(3s), pages 4538-4543, October.
    9. Leah Warfield Smith & Randall Lee Rose & Alex R. Zablah & Heath McCullough & Mohammad “Mike” Saljoughian, 2023. "Examining post-purchase consumer responses to product automation," Journal of the Academy of Marketing Science, Springer, vol. 51(3), pages 530-550, May.
    10. Giulio Marcucci & Filippo Emanuele Ciarapica & Giovanni Mazzuto & Maurizio Bevilacqua, 2024. "Analysis of ripple effect and its impact on supply chain resilience: a general framework and a case study on agri-food supply chain during the COVID-19 pandemic," Operations Management Research, Springer, vol. 17(1), pages 175-200, March.
    11. Ewa Cieślik, 2024. "From traditional to digital servicification: Chinese services in European manufacturing," Networks and Spatial Economics, Springer, vol. 24(4), pages 927-965, December.
    12. Katharina Klein & Luis F. Martinez, 2023. "The impact of anthropomorphism on customer satisfaction in chatbot commerce: an experimental study in the food sector," Electronic Commerce Research, Springer, vol. 23(4), pages 2789-2825, December.
    13. Qiansong Zhang & Yingying Zhang & Taiwen Feng, 2024. "Impacts of paradox cognition and organizational unlearning on supply chain resilience: a perspective of paradox theory," Operations Management Research, Springer, vol. 17(3), pages 1022-1038, September.
    14. Siliang Tong & Nan Jia & Xueming Luo & Zheng Fang, 2021. "The Janus face of artificial intelligence feedback: Deployment versus disclosure effects on employee performance," Strategic Management Journal, Wiley Blackwell, vol. 42(9), pages 1600-1631, September.
    15. Mohammad Ali Yamin, 2021. "Investigating the Drivers of Supply Chain Resilience in the Wake of the COVID-19 Pandemic: Empirical Evidence from an Emerging Economy," Sustainability, MDPI, vol. 13(21), pages 1-16, October.
    16. Dawit Udessa Gede, 2025. "Enhancing Organizational Performance Through Effective Supply Chain Management: Insights from the Adola Branch of Ethiopian Magnesium Oxide," Public Organization Review, Springer, vol. 25(2), pages 579-594, June.
    17. Peng, Zixi (Lavi) & Mattila, Anna, 2026. "How AI modality shapes tourists' prosocial behaviors," Annals of Tourism Research, Elsevier, vol. 116(C).
    18. Zheng, Handong & Ye, Xin & Chen, Rongsheng & Chen, Yi, 2025. "Resilient high-end equipment manufacturing supply chain design with irreplaceable suppliers: An IFTOPSIS-MOMIP hybrid model," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 195(C).
    19. Tan Yigitcanlar & Kevin C. Desouza & Luke Butler & Farnoosh Roozkhosh, 2020. "Contributions and Risks of Artificial Intelligence (AI) in Building Smarter Cities: Insights from a Systematic Review of the Literature," Energies, MDPI, vol. 13(6), pages 1-38, March.
    20. Papanagnou, Christos & Seiler, Andreas & Spanaki, Konstantina & Papadopoulos, Thanos & Bourlakis, Michael, 2022. "Data-driven digital transformation for emergency situations: The case of the UK retail sector," International Journal of Production Economics, Elsevier, vol. 250(C).

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    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:bdu:ogjppm:v:2:y:2023:i:1:p:1-11:id:1954. 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: Chief Editor (email available below). General contact details of provider: https://iprjb.org/journals/GJPPM/ .

    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.