بررسی تأثیر هوش مصنوعی بر قصد خرید با در نظر گرفتن متغیرهای میانجی ارزش درک شده، رضایت و تعامل مصرفکننده در رسانههای اجتماعی
الموضوعات :
ریحانه بیدرام
1
,
سمیه صالحی
2
1 - کارشناس ارشد گروه مدیریت، واحد نجفآباد، دانشگاه آزاد اسلامی، نجفآباد، ایران.
2 - استادیار گروه مدیریت، واحد نجفآباد، دانشگاه آزاد اسلامی، نجفآباد، ایران (نویسنده مسئول)
الکلمات المفتاحية: هوش مصنوعی, قصد خرید, ارزش درک شده, تعامل در رسانههای اجتماعی, رضایت,
ملخص المقالة :
در دنیای دیجیتال امروز، هوش مصنوعی (AI) بهعنوان یک عامل تحولآفرین در استراتژیهای بازاریابی
شناخته میشود و سازمانها از این فناوری برای بهبود تجربیات مشتری و تقویت قصد خرید استفاده میکنند.
با این حال، تحقیقات محدودی به بررسی تأثیر مستقیم هوش مصنوعی بر قصد خرید مصرفکنندگان از طریق
متغیرهای میانجی مانند ارزش درکشده و تعامل مصرفکننده و رضایت پرداختهاند. این مطالعه شکاف
موجود در ادبیات تحقیق را شناسایی کرده و به بررسی تأثیر هوش مصنوعی بر قصد خرید مصرفکننده
میپردازد. در این پژوهش، دادهها از کاربرانی که حداقل ۱۸ سال سن داشته و تجربه خرید پوشاک از طریق
اینستاگرام، را داشتهاند، جمعآوری شده و نتایج با استفاده از معادلات ساختاری (SEM) تحلیل شدند. نتایج
نشان داد که هوش مصنوعی از طریق بهبود ارزش درکشده و افزایش تعاملات مصرفکننده تأثیر مثبت و
معناداری بر قصد خرید دارد. همچنین، متغیر ارزش درکشده نقش میانجیگر مهمی بین هوش مصنوعی،
رضایت و در نهایت قصد خرید ایفا میکند که نشاندهنده اهمیت این متغیر در تقویت تأثیرات هوش مصنوعی
بر رفتار مصرفکننده است. این پژوهش با نوآوری در گنجاندن متغیر ارزش درکشده به مدلهای تحقیقاتی
بازاریابی، درک عمیقتری از تأثیر هوش مصنوعی بر رفتار مصرفکننده ارائه میدهد و به شرکتها
نشان میدهد که چگونه میتوانند با بهرهگیری از هوش مصنوعی استراتژیهای بازاریابی خود را بهبود
داده و تجربه مشتری را ارتقا دهند.
Aghazadeh, Hashem, Qolipour, Rahmatullah, & Bakshizadeh, Elahe. (2014). Investigating the effect of brand personality on repurchase intention through perceived value and brand loyalty (case study: life insurance policyholders of Saman Insurance Company). Modern Marketing Research , 3 (4), 1-22 [In persian].
Ali, A., & Bhasin, J. (2019). Understanding Customer Repurchase Intention in E-commerce: Role of Perceived Price, Delivery Quality, and Perceived Value. Jindal Journal of Business Research, 8(2), 142-157. http://dx.doi.org/10.1177/2278682119850275.
Bansal, Rohit & Bansal, Tamanna. (2024). Impact of Artificial Intelligence on Online Buying Behaviour in E-Commerce. http://dx.doi.org/10.1109/ICACCTech61146.2023.00085.
Bao, Kevin & Bao, Yeqing & Sheng, Shibin. (2011). Motivating purchase of private brands: Effects of store image, product signatureness, and quality variation. Journal of Business Research. 64. http://dx.doi.org/10.1016/j.jbusres.2010.02.007.
Bilal, M., Zhang, Y., Cai, S., Akram, U., & Halibas, A. (2024). Artificial intelligence is the magic wand making customer-centric a reality! An investigation into the relationship between consumer purchase intention and consumer engagement through affective attachment. Journal of Retailing and Consumer Services, 77, 103674. https://doi.org/10.1016/j.jretconser.2023.103674
Bock, D. E., Wolter, J. S., & Ferrell, O. C. (2020). Artificial intelligence: Disrupting what we know about services. Journal of Services Marketing, 34(3), 317-334. http://dx.doi.org/10.1108/JSM-01-2019-0047.
Buil, Isabel & Martinez, Eva & Chernatony, Leslie. (2013). The influence of brand equity on consumer responses. Journal of Consumer Marketing. 30. http://dx.doi.org/10.1108/07363761311290849.
Chawla, R. N., & Goyal, P. (2021). Emerging trends in digital transformation: a bibliometric analysis. Benchmarking: An International Journal, 29(4), 1069-1112. http://dx.doi.org/10.1108/BIJ-01-2021-0009.
Chen, Chia-Chen & Hsiao, Kuo-Lun & Wu, Shan-Jung. (2018). Purchase intention in social commerce: An empirical examination of perceived value and social awareness. Library Hi Tech. 36. http://dx.doi.org/10.1108/LHT-01-2018-0007.
Chen, Shih-Chih & Lin, Chieh-Peng. (2019). Understanding the effect of social media marketing activities: The mediation of social identification, perceived value, and satisfaction. Technological Forecasting and Social Change. 140. 22-32. http://dx.doi.org/10.1016/j.techfore.2018.11.025
Cho, Eunjoo & Son, Jihyeong. (2019). The effect of social connectedness on consumer adoption of social commerce in apparel shopping. Fashion and Textiles. 6. http://dx.doi.org/10.1186/s40691-019-0171-7
Christofi, Michael & Vrontis, Demetris & Leonidou, Erasmia & Thrassou, Alkis. (2018). Customer engagement through choice in cause-related marketing: A potential for global competitiveness. International Marketing Review. 37. http://dx.doi.org/10.1108/IMR-04-2018-0133
Churchill Jr, G. A., & Surprenant, C. (1982). An investigation into the determinants of customer satisfaction. Journal of marketing research, 19(4), 491-504. https://doi.org/10.1177/002224378201900410.
Daugherty, P. R., & Wilson, H. J. (2019). How Humans and AI Are Working Together in 1,500 Companies. Harvard Business Review, April, 4.
De Bruyn, A., Viswanathan, V., Beh, Y. S., Brock, J. K. U., & Von Wangenheim, F. (2020). Artificial intelligence and marketing: Pitfalls and opportunities. Journal of Interactive Marketing, 51(1), 91-105. https://doi.org/10.1016/j.intmar.2020.04.007.
Dissanayake, Ravindra & Ismail, Nurlida. (2015). Relationship between Celebrity Endorsement and Brand Attitude: With Reference to Financial Services Sector Brands in Sri Lanka.
Febriani, Riza & Sholahuddin, Muhammad & Kuswati, Rini & Soepatini, Soepatini. (2022). Do Artificial Intelligence and Digital Marketing Impact Purchase Intention Mediated by Perceived Value?. Journal of Business and Management Studies. 4. 184-196. http://dx.doi.org/10.32996/jbms.2022.4.4.28.
Gao, Li & Li, Gang & Tsai, Fusheng & Gao, Chen & Zhu, Mengjiao & Qu, Xiaopian. (2022). The impact of artificial intelligence stimuli on customer engagement and value co-creation: the moderating role of customer ability readiness. Journal of Research in Interactive Marketing. 17. http://dx.doi.org/10.1108/JRIM-10-2021-0260.
Gidh, P. G. (2020). A multi-dimensional research study in e-commerce to capture consumer expectations. International Journal for Research in Applied Science and Engineering Technology, 8(11), 411-415. http://dx.doi.org/10.22214/ijraset.2020.32169.
Hensman, Sheramy & Jayasinghe, Shan & Fernando, Ishenka. (2024). Antecedents Of Driving Customer Purchase Intention Via AI Based Customer Engagement Strategies In The Post Pandemic Era. 1-6. http://dx.doi.org/10.1109/SCSE61872.2024.10550604.
Hollebeek, L. D., Glynn, M. S., & Brodie, R. J. (2014). Consumer brand engagement in social media: Conceptualization, scale development and validation. Journal of interactive marketing, 28(2), 149-165. http://dx.doi.org/10.1016/j.intmar.2013.12.002.
Hossain, M. S., Zhou, X., & Rahman, M. F. (2018). Examining the impact of QR codes on purchase intention and customer satisfaction on the basis of perceived flow. International Journal of engineering business management, 10, http://dx.doi.org/10.1177/1847979018812323.
Jang, M., Jung, Y., & Kim, S. (2021). Investigating managers' understanding of chatbots in the Korean financial industry. Computers in Human Behavior, 120, 106747. http://dx.doi.org/10.1016/j.chb.2021.106747
Kannan, P. K. (2017). Digital marketing: A framework, review and research agenda. International journal of research in marketing, 34(1), 22-45. http://dx.doi.org/10.1016/j.ijresmar.2016.11.006
Kotler, & Keller. (2016). Kotler and Keller Marketing Management.
Lim, Weng Marc & Rasul, Tareq & Kumar, Satish & Ala, Mamun. (2022). Past, Present, and Future of Customer Engagement. Journal of Business Research. 140. 439-458. http://dx.doi.org/10.1016/j.jbusres.2021.11.014
Liu, L., Lee, M. K., Liu, R., & Chen, J. (2018). Trust transfer in social media brand communities: The role of consumer engagement. International Journal of Information Management, 41, 1-13. http://dx.doi.org/10.1016/j.ijinfomgt.2018.02.006.
Majeed, M., Asare, C., Fatawu, A., & Abubakari, A. (2022). An analysis of the effects of customer satisfaction and engagement on social media on repurchase intention in the hospitality industry. Cogent Business & Management, 9(1), 2028331. http://dx.doi.org/10.1080/23311975.2022.2028331.
Malhotra, Gunjan & Ramalingam, Mahesh. (2023). Perceived anthropomorphism and purchase intention using artificial intelligence technology: examining the moderated effect of trust. Journal of Enterprise Information Management. https://doi.org/10.1108/jeim-09-2022-0316
Mantur, S. T., & Borgaon, H. (2020). Influence of visual merchandising on impulse buying behaviour of customers in sports retail outlet in Hubli city. Studies in Indian Place Names, 40(60), 3326-3336.
Mittal, U., & Sharma, D. M. (2021). Artificial intelligence and its application in different areas of indian economy. International Journal of Advanced Research in Science, Communication and Technology, 4(10), 160-163. http://dx.doi.org/10.48175/IJARSCT-V2-I3-328.
Mollen, Anne & Wilson, Hugh. (2010). Engagement, telepresence and interactivity in online consumer experience: Reconciling scholastic and managerial perspectives. Journal of Business Research. 63. 919-925. http://dx.doi.org/10.1016/j.jbusres.2009.05.014.
Nadeem, W., Tan, T.M., Tajvidi, M., Hajli, N., 2021. How do experiences enhance brand relationship performance and value co-creation in social commerce? The role of consumer engagement and self-brand-connection. Technol. Forecast. Soc. Change 171, 120952. http://dx.doi.org/10.1016/j.techfore.2021.120952
Naderibani, M., Adibzade, M., & Ghahnavihe, D. A. (2016). The impact of innovation on going to buy electronics using structural equation modeling (SEM). Journal of Business Management, 7(4), 941-966. https://doi.org/10.22059/jibm.2015.57099 [In persian].
Nazir, Sajjad & Khadim, Sahar & Asadullah, Muhammad Ali & Syed, Nausheen. (2022). Exploring the influence of artificial intelligence technology on consumer repurchase intention: The mediation and moderation approach. Technology in Society. 72. 102190. http://dx.doi.org/10.1016/j.techsoc.2022.102190.
Oliver, R. L. (2014). Satisfaction: A behavioral perspective on the consumer: A behavioral perspective on the consumer. Routledge. https://doi.org/10.4324/9781315700892.
Ong, Ardvin Kester & Prasetyo, Yogi & Sacro, Mariela Celine & Artes, Alycia & Canonoy, Mariella & Onda, Guia Karyl & Persada, Satria & Nadlifatin, Reny & Robas, Kirstien Paola. (2023). Determination of factors affecting customer satisfaction towards “maynilad” water utility company: A structural equation modeling-deep learning neural network hybrid approach. Heliyon. 9. e13798 . https://doi.org/10.1016/j.heliyon.2023.e13798.
Overby, Jeffrey & Lee, Eun-Ju. (2006). The Effects of Utilitarian and Hedonic Online Shopping Value on Consumer Preference and Intentions. Journal of Business Research. 59. 1160-1166. https://doi.org/10.1016/j.jbusres.2006.03.008.
Paschen, J., Wilson, M., & Ferreira, J. J. (2020). Collaborative intelligence: How human and artificial intelligence create value along the B2B sales funnel. Business Horizons, 63(3), 403-414. http://dx.doi.org/10.1016/j.bushor.2020.01.003.
Peng, Lifang & Zhang, Weiguo & Wang, Xiaorong & Liang, Shuyi. (2018). Moderating Effects of Time Pressure on the Relationship between Perceived Value and Purchase Intention in Social E-commerce Sales Promotion: Considering the Impact of Product Involvement. Information & Management. 56 .https://doi.org/10.1016/j.im.2018.11.007.
Pillai, R., Sivathanu, B., & Dwivedi, Y. K. (2020). Shopping intention at AI-powered automated retail stores (AIPARS). Journal of Retailing and Consumer Services, 57, https://doi.org/10.1016/j.jretconser.2020.102207.
Rather, R. A. (2021). Monitoring the impacts of tourism-based social media, risk perception and fear on tourist’s attitude and revisiting behaviour in the wake of COVID-19 pandemic. Current Issues in Tourism, 24(23), 3275-3283. http://dx.doi.org/10.1080/13683500.2021.1884666.
Reynolds, K. E., Jones, M. A., Musgrove, C. F., & Gillison, S. T. (2012). An investigation of retail outcomes comparing two types of browsers. Journal of Business Research, 65(8), 1090–1095. https://doi.org/10.1016/j.jbusres.2011.09.001.
Sadiku, M. N., Tembely, M., & Musa, S. M. (2018). Social media for beginners. International Journal of Advanced Research in Computer Science and Software Engineering, 8(3), 24-26. http://dx.doi.org/10.23956/ijarcsse.v8i3.564.
Sadiku, Matthew & Ashaolu, Tolulope Joshua & Ajayi-Majebi, Abayomi & Musa, Sarhan. (2021). Artificial Intelligence in Social Media. International Journal Of Scientific Advances. 2. http://dx.doi.org/10.51542/ijscia.v2i1.4
Samara, D., Magnisalis, I., & Peristeras, V. (2020). Artificial intelligence and big data in tourism: a systematic literature review. Journal of Hospitality and Tourism Technology, 11(2), 343-367. http://dx.doi.org/10.1108/JHTT-12-2018-0118.
Sarfo, C., Zhang, J. A., O'Kane, C., & O'Kane, P. (2024). Perceived value of microfinance and SEM performance: The role of exploratory innovation. International Journal of Innovation, 8, 172-185. https://doi.org/10.1016/j.ijis.2024.02.003.
Sarkar, S., Chauhan, S., & Khare, A. (2020). A meta-analysis of antecedents and consequences of trust in mobile commerce. International Journal of Information Management, 50, 286-301. http://dx.doi.org/10.1016/j.ijinfomgt.2019.08.008.
Sarmiento, H. (2020). How artificial intelligence can benefit the social media user.
Setyo، PE (2017). PENGARUH KUALITAS PRODUK DAN HARGA TERHADAP KEPUASAN KONSUMEN “BEST AUTOWORKS”. Jurnal Performa: Jurnal Manajemen Dan Start-up Bisnis , 1 (6), 755–764. https://doi.org/10.37715/jp.v1i6.404.
Siriwardana, Anushka & Dissanayake, Ravindra. (2018). Social Customer Relationship Management (SCRM) in Contemporary Business Era. 7. 59-64.
So, K. K. F., Wei, W., & Martin, D. (2021). Understanding customer engagement and social media activities in tourism: A latent profile analysis and cross-validation. Journal of Business Research, 129, 474-483. http://dx.doi.org/10.1016/j.jbusres.2020.05.054.
Statista (2022). Retrieved October 26, 2023 from: https://www.statista.com/outlook/mmo/travel-tourism/worldwide.
Syamsiah, N. (2009). Analisis faktor-faktor yang mempengaruhi nilai yang dirasakan pelanggan untuk menciptakan kepuasan pelanggan di RSUP dokter kariadi Semarang (studi kasus pada paviliun garuda RSUP Dr. Kariadi) (Doctoral dissertation, program Pascasarjana Universitas Diponegoro).
Tan, C. W., Benbasat, I., & Cenfetelli, R. T. (2013). IT-mediated customer service content and delivery in electronic governments: An empirical investigation of the antecedents of service quality. MIS quarterly, 77-109. http://dx.doi.org/10.25300/MISQ/2013/37.1.04.
Thakur, R. (2016). Understanding Customer Engagement and Loyalty: A Case of Mobile Devices for Shopping. Journal of Retailing and Consumer Services, 32, 151-163. https://doi.org/10.1016/j.jretconser.2016.06.004
Vlačić, B., Corbo, L., e Silva, S. C., & Dabić, M. (2021). The evolving role of artificial intelligence in marketing: A review and research agenda. Journal of business research, 128, 187-203. http://dx.doi.org/10.1016/j.jbusres.2021.01.055.
Wang, S. R. (2023). Examining the impact of tourism information quality from ChatGPT on user’s perceived value and satisfaction. Journal of Hospitality & Tourism Studies, 25(11), 15-28. http://dx.doi.org/10.31667/jhts.2023.11.106.28.
Yin, Jiwang & Qiu, Xiaodong. (2021). AI Technology and Online Purchase Intention: Structural Equation Model Based on Perceived Value. Sustainability. 13. 5671. http://dx.doi.org/10.3390/su13105671.
Yoo, Jungmin & Park, Minjung. (2016). The effects of e-mass customization on consumer perceived value, satisfaction, and loyalty toward luxury brands. Journal of Business Research. 69. 5775-5784. 10.1016/j.jbusres.2016.04.174. http://dx.doi.org/10.1016/j.jbusres.2016.04.174.
Zeithaml, V. A. (1988). Consumer perceptions of price, quality, and value: a means-end model and synthesis of evidence. Journal of marketing, 52(3), 2-22. http://dx.doi.org/10.1177/002224298805200302.
Zhou, F., Chu, Z., Sun, H., Hu, R. Q., & Hanzo, L. (2018). Artificial noise aided secure cognitive beamforming for cooperative MISO-NOMA using SWIPT. IEEE Journal on Selected Areas in Communications, 36(4), 918-931. https://doi.org/10.1109/JSAC.2018.2824622.