Impact of Artificial Intelligence on Purchasing and Procurement in South Korea
DOI:
https://doi.org/10.47604/gjppm.1954Keywords:
Impact, Artificial Intelligence, Purchasing, Procurement, South KoreaAbstract
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.
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References
Albinkalil, A. M. (2021). Impact of E-procurement on Supply Chain Performance. In Artificial Intelligence Systems and the Internet of Things in the Digital Era: Proceedings of Eammis 2021 (pp. 133-143). Cham: Springer International Publishing.
Allal-Chrif, O., Simón-Moya, V., & Ballester, A. C. C. (2021). Intelligent purchasing: How artificial intelligence can redefine the purchasing function. Journal of Business Research, 124, 69-76.
Barton, D., Woetzel, J., Seong, J., & Tian, Q. (2017). Artificial intelligence: implications for China.
Beyari, H., & Garamoun, H. (2022). The Effect of Artificial Intelligence on End-User Online Purchasing Decisions: Toward an Integrated Conceptual Framework. Sustainability, 14(15), 9637.
Bhagat, R., Chauhan, V., & Bhagat, P. (2022). Investigating the impact of artificial intelligence on consumer's purchase intention in e-retailing. foresight, (ahead-of-print).
Brandon"Jones, E., Squire, B., Autry, C. W., & Petersen, K. J. (2014). A contingent resource"based perspective of supply chain resilience and robustness. Journal of Supply Chain Management, 50(3), 55-73.
Brock, J. K. U., & Von Wangenheim, F. (2019). Demystifying AI: What digital transformation leaders can teach you about realistic artificial intelligence. California Management Review, 61(4), 110-134.
Cao, L. (2021). Artificial intelligence in retail: applications and value creation logics. International Journal of Retail & Distribution Management.
Chan Phooi M'ng, J., & Mehralizadeh, M. (2016). Forecasting East Asian indices futures via a novel hybrid of wavelet-PCA denoising and artificial neural network models. PloS one, 11(6), e0156338.
Chen, H., Li, L., & Chen, Y. (2021). Explore success factors that impact artificial intelligence adoption on telecom industry in China. Journal of Management Analytics, 8(1), 36-68.
Chen, M., Liu, Q., Huang, S., & Dang, C. (2022). Environmental cost control system of manufacturing enterprises using artificial intelligence based on value chain of circular economy. Enterprise Information Systems, 16(8-9), 1856422.
Cho, I., & Jun, J. (2021, January). Effect of the smart factory system in value chain on competitiveness of Korean SMEs manufacturing. In 2021 21st ACIS International Winter Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD-Winter) (pp. 142-147). IEEE.
Chopra, A. (2019, February). AI in supply & procurement. In 2019 Amity International Conference on Artificial Intelligence (AICAI) (pp. 308-316). IEEE.
Chui, M. (2017). Artificial intelligence the next digital frontier. McKinsey and Company Global Institute, 47(3.6).
Dauvergne, P. (2022). Is artificial intelligence greening global supply chains? Exposing the political economy of environmental costs. Review of International Political Economy, 29(3), 696-718.
Dirican, C. (2015). The impacts of robotics, artificial intelligence on business and economics. Procedia-Social and Behavioral Sciences, 195, 564-573.
Dolle, N., Wilhelm, C., Wergunow, A., Rössle, M., Fernandes, M., & Glißmann, L. (2021, February). An artificial intelligence based sourcing automation concept for smaller and mid-sized enterprises in the metal industry. In Reliability and Statistics in Transportation and Communication: Selected Papers from the 20th International Conference on Reliability and Statistics in Transportation and Communication, RelStat2020, 14-17 October 2020, Riga, Latvia (pp. 94-103). Cham: Springer International Publishing.
Ekelund Jr, R. B., & Hbert, R. F. (2013). A history of economic theory and method. Waveland Press.
Erdis, E. (2013). The effect of current public procurement law on duration and cost of construction projects in Turkey. Journal of Civil Engineering and Management, 19(1), 121-135.
Febriani, R. A., Sholahuddin, M., & Kuswati, R. (2022). Do Artificial Intelligence and Digital Marketing Impact Purchase Intention Mediated by Perceived Value? Journal of Business and Management Studies, 4(4), 184-196.
Forrest, E., & Hoanca, B. (2015). Artificial intelligence: Marketing's game changer. Trends and innovations in marketing information systems, 45-64.
Guida, M., Caniato, F., Moretto, A., & Ronchi, S. (2023). The role of artificial intelligence in the procurement process: State of the art and research agenda. Journal of Purchasing and Supply Management, 100823.
Haseeb, M., Mihardjo, L. W., Gill, A. R., & Jermsittiparsert, K. (2019). Economic impact of artificial intelligence: New look for the macroeconomic assessment in Asia-Pacific region. International Journal of Computational Intelligence Systems, 12(2), 1295.
Hitt, M. A., Xu, K., & Carnes, C. M. (2016). Resource based theory in operations management research. Journal of operations management, 41, 77-94.
Horowitz, M. C. (2018). Artificial intelligence, international competition, and the balance of power. 2018, 22.
Imran, M., Castillo, C., Lucas, J., Meier, P., & Vieweg, S. (2014, April). AIDR: Artificial intelligence for disaster response. In Proceedings of the 23rd international conference on world wide web (pp. 159-162).
Ivanov, S., & Webster, C. (2019). Economic fundamentals of the use of robots, artificial intelligence, and service automation in travel, tourism, and hospitality. In Robots, artificial intelligence, and service automation in travel, tourism and hospitality. Emerald Publishing limited.
Jahani, N., Sepehri, A., Vandchali, H. R., & Tirkolaee, E. B. (2021). Application of industry 4.0 in the procurement processes of supply chains: a systematic literature review. Sustainability, 13(14), 7520.
Johnson, J. (2019). Artificial intelligence & future warfare: implications for international security. Defense & Security Analysis, 35(2), 147-169.
Kim, M. H., & Lee, E. B. (2019). A forecast model for the level of engineering maturity impact on contractor's procurement and construction costs for offshore EPC megaprojects. Energies, 12(12), 2295.
Lee, S. Y. (2021). Sustainable supply chain management, digital-based supply chain integration, and firm performance: a cross-country empirical comparison between South Korea and Vietnam. Sustainability, 13(13), 7315.
Luo, X., Tong, S., Fang, Z., & Qu, Z. (2019). Frontiers: Machines vs. humans: The impact of artificial intelligence chatbot disclosure on customer purchases. Marketing Science, 38(6), 937-947.
Makridakis, S. (2017). The forthcoming Artificial Intelligence (AI) revolution: Its impact on society and firms. Futures, 90, 46-60.
Malhotra, G., & Ramalingam, M. (2023). Perceived anthropomorphism and purchase intention using artificial intelligence technology: examining the moderated effect of trust. Journal of Enterprise Information Management.
MartÃnez-López, F. J., & Casillas, J. (2013). Artificial intelligence-based systems applied in industrial marketing: An historical overview, current and future insights. Industrial Marketing Management, 42(4), 489-495.
Naud, W., & Dimitri, N. (2021). Public Procurement and Innovation for Human-Centered Artificial Intelligence. Available at SSRN 3762891.
Paschen, J., Kietzmann, J., & Kietzmann, T. C. (2019). Artificial intelligence (AI) and its implications for market knowledge in B2B marketing. Journal of business & industrial marketing.
Schulze-Horn, I., Hueren, S., Scheffler, P., & Schiele, H. (2020). Artificial intelligence in purchasing: Facilitating mechanism design-based negotiations. Applied Artificial Intelligence, 34(8), 618-642.
Spreitzenbarth, J. M., Stuckenschmidt, H., & Bode, C. (2021, March). IPSERA ONLINE 2021 Track on Purchasing and Supply: Big Data and Analytics Methods of artificial intelligence in procurement: A conceptual literature review. In 30th International Purchasing & Supply Education & Research Association (IPSERA) Conference.
Syam, N., & Sharma, A. (2018). Waiting for a sales renaissance in the fourth industrial revolution: Machine learning and artificial intelligence in sales research and practice. Industrial marketing management, 69, 135-146.
Thate, T., Mathieu, S., & Ernst, D. (2020). An Artificial Intelligence Solution for Electricity Procurement in Forward Markets. Energies, 13(23), 6435.
Wang, R. (2021). A Study on the Impact of Perceived Value of Art Based on Artificial Intelligence on Consumers' Purchase Intention. Journal of The Korea Society of Computer and Information, 26(1), 275-281.
Wisskirchen, G., Biacabe, B. T., Bormann, U., Muntz, A., Niehaus, G., Soler, G. J., & von Brauchitsch, B. (2017). Artificial intelligence and robotics and their impact on the workplace. IBA Global Employment Institute, 11(5), 49-67.
Yassin, C. A. The effect of Artificial Intelligence on Fashion Involvement Purchase Decision.
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