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Perakende sektöründe yapay zekâ avantajları, zorlukları ve stratejileri üzerine kavramsal bir değerlendirme

Yıl 2024, Cilt: 2 Sayı: 4, 345 - 368, 01.12.2024

Öz

Hızla değişen perakende sektöründe işletmeler, hedef kitlelerine daha etkili bir şekilde ulaşmak için sürekli yenilikçi yollar aramaktadır. Yapay zekâ (AI) ve makine öğrenimi yazılımları, rekabette bir adım öne geçmek, müşteri deneyimlerini iyileştirmek ve operasyonlarını optimize etmek isteyen perakendeciler için paha biçilmez araçlar olarak ortaya çıkmıştır. AI, büyük miktarda veriyi analiz etme, pazarlama çabalarını kişiselleştirme, dinamik fiyatlandırma, otomasyon, talep tahmini ve gelişmiş müşteri hizmetlerini yönetimi yeteneği ile perakende sektöründe büyük bir değişim başlatmıştır. AI, bilgisayarların tipik olarak insan zekâsı gerektiren görevleri yerine getirmeleri için eğitilmesidir. AI, insan gibi düşünmek ve öğrenmek üzere programlanmış makinelerde insan zekâsının simülasyonudur. AI, perakendedeki geleneksel rolleri dönüştürerek çok sayıda rutin görevin yükünü ortadan kaldırmaktadır. Günümüzün dinamik perakende dünyasında AI, sektörün geleceğini yeniden şekillendirmektedir. Bu çalışma, perakende sektöründe AI’ın artan önemini ve etkilerini anlamaya odaklanmaktadır. Ayrıca çalışma, güncel istatistiklerle birlikte AI uygulamalarının faydaları, zorlukları ve stratejilerini de inceleyerek işletme yöneticilerine ilgili kararları alırken yardımcı olmayı amaçlamaktadır

Kaynakça

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Artificial intelligence in retail sector a conceptual assessment of its advantages, challenges and strategies

Yıl 2024, Cilt: 2 Sayı: 4, 345 - 368, 01.12.2024

Öz

In the rapidly changing retail sector, businesses are constantly looking for innovative ways to reach their target audiences more effectively. AI and machine learning software have emerged as invaluable tools for retailers looking to stay ahead of the competition, improve customer experiences and optimize operations. Artificial intelligence has initiated a major shift in the retail industry with the ability to analyze large amounts of data, personalize marketing efforts, dynamic pricing, automation, demand forecasting and improved customer service management. Artificial intelligence is the training of computers to perform tasks that typically require human intelligence. AI is the simulation of human intelligence in machines programmed to think and learn like humans. Artificial intelligence is transforming traditional roles in retail, removing the burden of many routine tasks. In today's dynamic retail world, AI is reshaping the future of the industry. This study focuses on understanding the growing importance and implications of AI in the retail industry. It also examines the benefits, challenges and strategies of AI applications along with up-to-date statistics to assist business managers in making relevant decisions.

Kaynakça

  • Adapa, S., Fazal-e-Hasan, S., Makam, S., Azeem, M., & Mortimer, G. (2020). Examining the antecedents and consequences of perceived shopping value through smart retail technology. Journal of Retailing and Consumer Services, 52, 101901.
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  • Alhayani, B., Mohammed, H., Chaloob, I., & Ahmed, J. (2021). Effectiveness of artificial intelligence techniques against cyber security risks apply of IT industry. Materials Today: Proceedings, 531, 10.1016
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  • Ameen, N., Tarhini, A., Reppel, A., & Anand, A. (2021). Customer experiences in the age of artificial intelligence. Computers in Human Behavior, 114, 106548.
  • Anica-Popa, I., Anica-Popa, L., Radulescu, C., & Vrincianu, M. (2021). The integration of artificial intelligence in retail: Benefits, challenges and a dedicated conceptual framework. Amfiteatru Economic, 23(56), 120-136.
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  • Ho, S., & Chow, M. (2024). The role of artificial intelligence in consumers brand preference for retail banks in
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  • https://rtslabs.com/boost-your-retail-strategy-generative-ai (2024). Boost your retail strategy with generative AI: Key benefits and applications. Accessed at 04.09.2024.
  • https://theexpertcommunity.com/artificial-intelligence/ai-automation/ai-in-retail-how-artificial-intelligence-is-reshaping-the-industry/ (2024). AI in retail: How artificial intelligence is reshaping the industry. Accessed at 04.09.2024.
  • https://venturebeat.com/ai/moving-beyond-ai-paralysis/ (2024). Why AI companies don’t always scale like traditional software startups. Accessed at 04.09.2024.
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  • https://www.tableau.com/data-insights/ai/advantages-disadvantages#disadvantages (2024). What are the advantages and disadvantages of artificial intelligence (AI)? Accessed at 04.09.2024.
  • https://www.thebusinessresearchcompany.com/report/smart-retail-global-market-report (2024). Smart retail global market report 2024. Accessed at 04.09.2024.
  • https://www.turintech.ai/why-it-is-so-difficult-to-build-and-scale-ai-challenges-to-become-a-first-class-ai-organisation/ (2024). Why it is so difficult to build and scale AI? Challenges to become a first-class AI organisation. Accessed at 04.09.2024.
  • Hu, Y., & Min, H. (2023). The dark side of artificial intelligence in service: The watching-eye effect and privacy concerns. International Journal of Hospitality Management, 110, 103437.
  • Ifekanandu, C., Anene, J., Iloka, C., & Ewuzie, C. (2023). Influence of artificial intelligence on customer: Mediating role of personalization. Journal of Data Acquisition and Processing. 38(3), 1936-1959.
  • Kaplan, A., & Haenlein, M. (2020). Rulers of the world, unite! The challenges and opportunities of artificial intelligence. Business Horizons, 63(1), 37-50.
  • Kok, J., Boers, E., Kosters, W., Van Der Putten, P., & Poel, M. (2009). Artificial intelligence: Definition, trends, techniques, and cases. Artificial intelligence, 1(270-299), 1-5.
  • Kopsch, D., & Shiere, F. (2024). The retail industry is experiencing significant benefits from artificial intelligence (AI) technology advancements. https://www.mercer.com/en-be/insights/people-strategy/future-of-work/navigating-the-ai-retail-revolution/ Accessed at 04.09.2024.
  • Kvale, K., Freddi, E., Hodnebrog, S., Sell, O., & Folstad, A. (2020). Understanding the user experience of customer service chatbots: What can we learn from customer satisfaction surveys? Folstad, A. vd. (eds). Chatbot Research and Design. Conversations 2020, Lecture Notes in Computer Science, 12604. Springer, Cham.
  • Leleko, S., & Chupryna, R. (2024). Unlocking retail success with artificial intelligence (AI). https://spd.tech/machine-learning/ai-for-retail/ (Erişim Tarihi: 04.09.2024).
  • Liu, Y. l., Huang, L., Yan, W., Wang, X., & Zhang, R. (2022). Privacy in AI and the IoT: The privacy concerns of smart speaker users and the personal information protection law in China. Telecommunications Policy, 46(7), 102334.
  • Longo, D. (2023). Retail theft in the U.S: It's a Crime. https://csnews.com/retail-theft-us-its-crime#:~:text=Retail%20theft%20costs%20retailers%20more,shrink%20is%20a%20significant%20challenge. Accessed at 04.09.2024.
  • Martinez, R. (2019). Artificial intelligence: Distinguishing between types & definitions. Nevada Law Journal, 19(3), 1015-1042. Medushevska, M. (2024). The future of retail: Why businesses invest in smart retail and how you can too? https://syndicode.com/blog/smart-retail-solutions/ Accessed at 04.09.2024.
  • Mitchell, J. (2024). Key components of artificial ıntelligence (AI). https://futureskillsacademy.com/blog/key-components-of-ai/ Accessed at 04.09.2024.
  • Moro-Visconti, R., Rambaud, S., & Pascual, J. (2023). Artificial intelligence-driven scalability and its impact on the sustainability and valuation of traditional firms. Humanities and Social Sciences Communications, 10(1), 1-14.
  • Muthusubramanian, M., Jangoan, S., Sharma, K., & Krishnamoorthy, G. (2024). Demystifying explainable AI: Understanding, transparency and trust. International Journal for Multidisciplinary Research, 6(2), 1-13.
  • Nguyen, T. M., Quach, S., & Thaichon, P. (2022). The effect of AI quality on customer experience and brand relationship. Journal of Consumer Behaviour, 21(3), 481-493.
  • Oosthuizen, K. (2021). Artificial intelligence in retail: The AI-enabled value chain. Stellenbosch University, PhD Theis, Cape Town, South Africa.
  • Ozuem, W., Ranfagni, S., Willis, M., Salvietti, G., & Howell, K. (2024). Exploring the relationship between chatbots, service failure recovery and customer loyalty: A frustration–aggression perspective. Psychology & Marketing, 41, 2253-2273.
  • Popescu, C. C. (2018). Improvements in business operations and customer experience through data science and Artificial Intelligence. Proceedings of the International Conference on Business Excellence, 12(1), 804-815.
  • Prentice, C., & Nguyen, M. (2020). Engaging and retaining customers with AI and employee service. Journal of Retailing and Consumer Services, 56, 102186.
  • Raj, A. (2024). AI in the Retail Industry: Benefits, Case Studies & Examples. https://throughput.world/blog/ai-in-the-retail-industry/ Accessed at 04.09.2024.
  • Rane, N. (2023). Enhancing customer loyalty through artificial intelligence (AI), internet of things (IoT), and big data technologies: Improving customer satisfaction, engagement, relationship, and experience. http://dx.doi.org/10.2139/ssrn.4616051. Accessed at 04.09.2024.
  • Rosen, L. (2019). Working with AI comes with a big environmental footprint. https://www.21stcentech.com/working-ai-big-environmental-footprint/ Accessed at 04.09.2024.
  • Roy, S., Balaji, M., Sadeque, S., Nguyen, B., & Melewar, T. (2017). Constituents and consequences of smart customer experience in retailing. Technological Forecasting and Social Change, 124, 257-270.
  • Sabanoglu, T. (2023a). Retail technology worldwide-statistics & facts. https://www.statista.com/topics/10749/retail-technology-worldwide/#topicOverview Accessed at 04.09.2024.
  • Sabanoglu, T. (2023b). Business benefits of AI according to retail executives worldwide in 2023. https://www.statista.com/statistics/1374052/ai-benefits-according-to-retail-businesses/ Accessed at 04.09.2024.
  • Sabanoglu, T. (2024). Retail market worldwide-Statistics & Facts. https://www.statista.com/topics/5922/retail-market-worldwide/#topicOverview Accessed at 04.09.2024.
  • Samuely, A. (2023). Top benefits and challenges of AI in retail. https://www.newstore.com/articles/benefits-and-challenges-of-ai-in-retail/ Accessed at 04.09.2024.
  • Sardesai, S., D’Souza, E., & Govekar, S. (2024). Analysing the impacts of artificial intelligence service quality and human service quality on customer satisfaction and customer loyalty in the hospitality sector. Turizam, 28(1), 37-48.
  • Schmidt, A. (2020). Interactive human centered artificial intelligence: A definition and research challenges. Proceedings of the International Conference on Advanced Visual Interfaces, 1-4.
  • Selwitz, A. (2024). Top 5 AI challenges in e-commerce and retail. https://www.the-future-of-commerce.com/2023/08/10/ai-challenges-e-commerce-and-retail/ Accessed at 04.09.2024.
  • Shah, C. (2023). 8 Key components of artificial intelligence. https://promactinfo.com/blogs/8-key-components-of-artificial-intelligence/ Accessed at 04.09.2024.
  • Shaw, J., Rudzicz, F., Jamieson, T., & Goldfarb, A. (2019). Artificial intelligence and the implementation challenge. Journal of Medical Internet Research, 21(7), e13659.
  • Spencer, A. (2024). Artificial intelligence in retail: 6 use cases and examples. https://www.forbes.com/sites/sap/2024/04/19/artificial-intelligence-in-retail-6-use-cases-and-examples/ Accessed at 04.09.2024.
  • Taddeo, M. (2019). Three ethical challenges of applications of artificial intelligence in cybersecurity. Minds and Machines, 29, 187-191.
  • Takyar, A. (2024). AI in retail: Use cases, applications, solution, and implementation. https://www.leewayhertz.com/ai-in-retail/ Accessed at 04.09.2024.
  • Terenggana, C. (2024). The influence of artificial intelligence on customer experience (Study of Maxim users in Surabaya, East Java). Economics Studies and Banking Journal (DEMAND), 1(1), 37-45.
  • Thormundsson, B. (2023). Global total corporate artificial intelligence (AI) investment from 2015 to 2022. https://www.statista.com/statistics/941137/ai-investment-and-funding-worldwide/ Accessed at 04.09.2024.
  • Timbo, R. (2024). AI components: What they are, Examples, and applications. https://www.revelo.com/blog/components-of-ai Accessed at 04.09.2024.
  • Tulcanaza-Prieto, A., Cortez-Ordonez, A., & Lee, C. (2023). Influence of customer perception factors on AI-enabled customer experience in the Ecuadorian banking environment. Sustainability, 15(16), 12441.
  • Venkateswaran, P., Dominic, M., Agarwal, S., Oberai, H., Anand, I., & Rajest, S. (2024). The role of artificial intelligence (AI) in enhancing marketing and customer loyalty. Data-Driven Intelligent Business Sustainability, IGI Global, 32-47.
  • Yili, W. (2023). Here's how artificial intelligence can benefit the retail sector. https://www.weforum.org/agenda/2023/01/here-s-how-artificial-intelligence-benefit-retail-sector-davos2023/ Accessed at 04.09.2024.
  • Youn, S. and Jin, S. (2021). In A.I. we trust? The effects of parasocial interaction and technopian versus luddite ideological views on chatbot-based customer relationship management in the emerging feeling economy. Computers in Human Behavior, 119, 106721.
  • Yu, L., & Li, Y. (2022). Artificial intelligence decision-making transparency and employees trust: The parallel multiple mediating effect of effectiveness and discomfort. Behavioral Sciences, 12(5), 127.
  • Yuan, C., Wang, S., & Liu, Y. (2023). AI service impacts on brand image and customer equity: empirical evidence from China. Journal of Brand Management, 30, 61–76.
Toplam 109 adet kaynakça vardır.

Ayrıntılar

Birincil Dil Türkçe
Konular Bilgi Sistemleri (Diğer)
Bölüm Araştırma Makaleleri
Yazarlar

Yasemin Gedik 0000-0002-1166-3227

Yayımlanma Tarihi 1 Aralık 2024
Gönderilme Tarihi 21 Ekim 2024
Kabul Tarihi 21 Kasım 2024
Yayımlandığı Sayı Yıl 2024 Cilt: 2 Sayı: 4

Kaynak Göster

APA Gedik, Y. (2024). Perakende sektöründe yapay zekâ avantajları, zorlukları ve stratejileri üzerine kavramsal bir değerlendirme. Kastamonu İnsan Ve Toplum Dergisi, 2(4), 345-368.

Kastamonu İnsan ve Toplum Dergisi - KİTOD