Yapay zekâya yönelik tutumun, kolaylığın, yenilikçiliğin ve güvenin satın alma niyeti üzerine etkisi

Year 2024, Volume: 26 Issue: 2, 318 - 339, 16.12.2024

İlknur Korkmaz

https://doi.org/10.33707/akuiibfd.1522892

Abstract

Yapay zekâ teknolojisinde görülen ilerlemeler ve yapay zekâ destekli teknolojilerin kullanımının gittikçe artması, yapay zekâya ve yapay zekâ teknolojisine sahip ürünlere olan ilgiyi de artırabilmektedir. Yapay zekâ teknolojisine sahip ürünlerin satın alma niyetlerinde etkili olabilecek faktörler üzerinde duran bu çalışma, mevcut literatürün genişletilmesine katkı sunabilmektedir. Bu çalışma, genç tüketicilerin yapay zekâ teknolojisine sahip ürün satın alma niyetlerinde, bilgi teknolojisi alanında kişisel yenilikçiliğin, güvenme eğiliminin, yapay zekâ destekli kullanım kolaylığının ve yapay zekâya yönelik genel tutumun etkilerini tespit etmeyi amaçlamaktadır. Ayrıca, bilgi teknolojisi alanında kişisel yenilikçiliğin, güvenme eğiliminin ve yapay zekâ destekli kullanım kolaylığının yapay zekâ teknolojisine sahip ürün satın alma niyetine etkisinde, yapay zekâya yönelik genel tutumun aracılık etkisinin incelenmesi de çalışmada amaçlanmıştır. Kısmi en küçük kareler yapısal eşitlik modellemesi (PLS-SEM) ile 409 veri üzerinden çalışmanın hipotezleri test edilmiştir. Çalışmanın sonuçları, yenilikçiliği yüksek olan tüketicilerin, olumlu ve olumsuz tutuma sahip olsalar da yapay zekâ teknolojisine sahip ürün satın alma niyetlerinin bulunduğunu göstermektedir. Tüketicilerin bilgi teknolojisine olan hâkimiyeti ve yeniliği takip etmesi, yapay zekânın potansiyel risk ve tehlikelerine rağmen yapay zekâ teknolojisine sahip bir ürünü satın alma niyetlerinin olduğunu belirtmektedir. Tüketicilerin olumsuz tutumu rağmen yapay zekâ teknolojisine sahip bir ürünü satın alma niyetlerinin olması, yapay zekânın işlevsel ve yenilik özelliğinden dolayı sunduğu avantajların daha fazla olması ile ilgili olabilmektedir. İnsanlara güven duymayan ve dolayısıyla güvenme eğilimleri düşük olan tüketiciler, insan tarafından üretilen yapay zekâya da olumsuz bir tutum geliştirmektedir. Olumsuz tutum geliştiren tüketicilerin de satın alma niyetleri olumsuz yönde etkilenebilmektedir.

Keywords

Kişisel yenilikçilik, Güvenme eğilimi, Yapay zekâya yönelik genel tutum, Satın alma niyeti

The effect of attitude towards artificial intelligence, convenience, innovativeness, and trust on purchase intention

Abstract

The advances in artificial intelligence technology and the increasing use of artificial intelligence-supported technologies may increase the interest in artificial intelligence and products with artificial intelligence technology. This study, which focuses on the factors that may be effective in the purchase intentions of products with artificial intelligence technology, can contribute to the expansion of the existing literature. The objective of this study is to ascertain the influence of personal innovativeness in the field of information technology, trusting tendency, AI-supported ease of use, and general attitude towards artificial intelligence on young consumers' purchase intentions of products with artificial intelligence technology. Furthermore, the study sought to investigate the mediating effect of a general attitude towards artificial intelligence on the effect of personal innovativeness in the field of information technology, trusting tendency, and AI-supported ease of use on the purchase intention of products with artificial intelligence technology. The study hypotheses were tested using partial least squares structural equation modeling (PLS-SEM) on a data set comprising 409 observations. The results of the study show that consumers with high innovativeness have intentions to purchase products with artificial intelligence technology, regardless of whether they have positive or negative attitudes. Consumers' mastery of information technology and following innovation indicate that they intend to purchase a product with artificial intelligence technology despite the potential risks and dangers of artificial intelligence. The fact that consumers intend to purchase a product with artificial intelligence technology despite their negative attitude may be related to the fact that artificial intelligence offers more advantages due to its functional and innovative features. Consumers who do not trust humans and, therefore, have a low tendency to trust them to develop a negative attitude toward artificial intelligence produced by humans. The purchase intentions of consumers who develop negative attitudes may also be negatively affected.

Keywords

Personal innovativeness, Trusting tendency, General attitude towards artificial intelligence, Purchase intention

References

• Adam, M., Wessel, M. ve Benlian, A. (2021). AI-based chatbots in customer service and their effects on user compliance. Electronic Markets, 31(2), 427-445. https://doi.org/10.1007/s12525-020-00414-7
• Agarwal, R. ve Prasad, J. (1998). A conceptual and operational definition of personal innovativeness in the domain of information technology. Information Systems Research, 9(2), 204-215.
• Aghdaie, S. F. A., Piraman, A. ve Fathi, S. (2011). An analysis of factors affecting the consumer's attitude of trust and their impact on internet purchasing behavior. International Journal of Business and Social Science, 2(23), 147-158.
• Ajzen, I. (1991). The theory of planned behavior. Organizational Behavior and Human Decision Processes, 50(2), 179-211.
• Aksu, S. ve Şener, B. Ç. (2024). Factors affecting consumers' online purchasing attitudes towards ads guided by artificial intelligence. İmgelem, (14), 373-400. https://doi.org/10.53791/imgelem.1482365
• Arık, A. ve Zeren, D. (2023). Tüketicilerin sanal asistanları kullanma niyetinde etkili faktörlerin araştırılması. Alanya Akademik Bakış, 7(1), 27-49.
• Avkiran, N. K. (2018). Rise of the partial least squares structural equation modeling: An application in banking. N. K. Avkiran ve C. M. Ringle (Eds.), Partial least squares structural equation modeling: Recent advances in banking and finance içinde (ss. 1-29). Springer
• Avkiran, N. K. ve Ringle, C. M. (Eds.) (2018). Partial least squares structural equation modeling: Recent advances in banking and finance (Cilt 267). Springer.
• Bach, T. A., Khan, A., Hallock, H., Beltrão, G. ve Sousa, S. (2022). A systematic literature review of user trust in AI-enabled systems: An HCI perspective. International Journal of Human-Computer Interaction, 40(5), 1251-1266. https://doi.org/10.1080/10447318.2022.2138826
• Berente, N., Gu, B., Recker, J. ve Santhanam, R. (2021). Managing artificial intelligence. MIS Quarterly, 45(3), 1433-1450. https://doi.org/10.25300/MISQ/2021/16274
• Bhagat, R., Chauhan, V. ve Bhagat, P. (2023). Investigating the impact of artificial intelligence on consumer’s purchase intention in e-retailing. Foresight, 25(2), 249-263.
• Breckler, S. J. (1984). Empirical validation of affect, behavior, and cognition as distinct components of attitude. Journal of Personality and Social Psychology, 47(6), 1191.
• Chen, J. (2022). Adoption of M-learning apps: A sequential mediation analysis and the moderating role of personal innovativeness in information technology. Computers in Human Behavior Reports, 8, 100237. https://doi.org/10.1016/j.chbr.2022.100237
• Choung, H., David, P. ve Ross, A. (2023). Trust in AI and its role in the acceptance of AI technologies. International Journal of Human-Computer Interaction, 39(9), 1727-1739. https://doi.org/10.1080/10447318.2022.2050543
• Cohen, J. (1988). Statistical power analysis for the behavioral sciences (2. bs). Lawrence Erlbaum Associates, Publishers.
• Davis, F. D. (1985). A technology acceptance model for empirically testing new end-user information systems: Theory and results (Doctoral dissertation). Massachusetts Institute of Technology.
• Davis, F. D., Bagozzi, R. P. ve Warshaw, P. R. (1989). User acceptance of computer technology: A comparison of two theoretical models. Management Science, 35(8), 982-1003.
• Della Corte, V., Sepe, F., Gursoy, D. ve Prisco, A. (2023). Role of trust in customer attitude and behaviour formation towards social service robots. International Journal of Hospitality Management, 114, 103587. https://doi.org/10.1016/j.ijhm.2023.103587
• Demir, K. (2006). Rogersın yeniliğin yayılması teorisi ve internetten ders kaydı. Kuram ve Uygulamada Eğitim Yönetimi, 47, 367-392.
• Dirsehan, T. ve Can, C. (2020). Examination of trust and sustainability concerns in autonomous vehicle adoption. Technology in Society, 63, 101361. https://doi.org/10.1016/j.techsoc.2020.101361
• Eagly, A. H. ve Chaiken, S. (2007). The advantages of an inclusive definition of attitude. Social Cognition, 25(5), 582-602.
• Efendioğlu, İ. H. (2023). Yapay zekâ pazarlaması: İnternetten yapılan alışverişlerde yapay zekânın satın alma niyetine etkisi. Turkish Studies-Economy, 18(1), 133-153. https://dx.doi.org/10.7827/TurkishStudies.66785
• Eickhoff, F. ve Zhevak, L. (2023). The consumer attitude towards AI in marketing: An experimental study of consumers attitudes and purchase intention [Yayımlanmamış yüksek lisans tezi]. Jönköping University.
• Erciş, A. ve Türk, B. (2019). Bütünleşik amaca yönelik davranış modeli ile çevreci ürün satın alma niyetinin incelenmesi. Pazarlama ve Pazarlama Araştırmaları Dergisi, 12(23), 55-80.
• Ægisdóttir, S., Gerstein, L. H. ve Çinarbaş, D. C. (2008). Methodological issues in cross-cultural counseling research: Equivalence, bias, and translations. The Counseling Psychologist, 36(2), 188-219.
• Fetzer, J. H. (1990). What is artificial intelligence? Artificial intelligence: Its scope and limits içinde. Studies in Cognitive Systems. Springer. https://doi.org/10.1007/978-94-009-1900-6_1
• Frost-Arnold, K. (2014). The cognitive attitude of rational trust. Synthese, 191(9), 1957-1974. https://doi.org/10.1007/s11229-012-0151-6
• Garson, G. D. (2016). Partial least squares: Regression and structural equation models. Statistical Publishing Associates.
• Goldsmith, R. E. ve Foxall, G. R. (2003). The measurement of innovativeness. The International Handbook on Innovation, 5, 321-330.
• Gürbüz, S. ve Şahin, F. (2016). Sosyal bilimlerde araştırma yöntemleri felsefe-yöntem-analiz. Seçkin Kitabevi. Hair Jr, J. F., Hult, G. T. M., Ringle, C. M. ve Sarstedt, M. (2017). A primer on partial least squares structural equation modeling (PLS-SEM) (2. bs). Sage Publications.
• Hair Jr, J. F., Hult, G. T. M., Ringle, C. M., Sarstedt, M., Danks, N. P. ve Ray, S. (2021). Partial least squares structural equation modeling (PLS-SEM) using R: A workbook. Springer Nature.
• Hair, J. F., Ringle, C. M. ve Sarstedt, M. (2011). PLS-SEM: Indeed a silver bullet. Journal of Marketing Theory and Practice, 19(2), 139-151.
• Henseler, J., Ringle, C. M. ve Sinkovics, R. R. (2009). The use of partial least squares path modeling in international marketing. R. R. Sinkovics ve P. N. Ghauri (Eds.), New challenges to international marketing (Advances in International Marketing, Cilt 20) içinde (ss. 277-319). Emerald Group Publishing Limited. https://doi.org/10.1108/S1474-7979(2009)0000020014
• Henseler, J., Ringle, C. M. ve Sarstedt, M. (2015). A new criterion for assessing discriminant validity in variance-based structural equation modeling. Journal of The Academy of Marketing Science, 43, 115-135.
• Hair, J. F., Risher, J. J., Sarstedt, M. ve Ringle, C. M. (2019). When to use and how to report the results of PLS-SEM. European Business Review, 31(1), 2-24.
• Himel, M. T. A., Ashraf, S., Bappy, T. A., Abir, M. T., Morshed, M. K. ve Hossain, M. N. (2021). Users' attitude and intention to use mobile financial services in Bangladesh: An empirical study. South Asian Journal of Marketing, 2(1), 72-96. https://doi.org/10.1108/SAJM-02-2021-0015
• Hirschman, E. C. (1980). Innovativeness, novelty seeking, and consumer creativity. Journal of Consumer Research, 7(3), 283-295.
• Huang, M. H. ve Rust, R. T. (2021). A strategic framework for artificial intelligence in marketing. Journal of the Academy of Marketing Science, 49, 30-50. https://doi.org/10.1007/s11747-020-00749-9
• Hurt, H. T., Joseph, K. ve Cook, C. D. (1977). Scales for the measurement of innovativeness. Human Communication Research, 4(1), 58-65.
• Hwang, J., Lee, J. S. ve Kim, H. (2019). Perceived innovativeness of drone food delivery services and its impacts on attitude and behavioral intentions: The moderating role of gender and age. International Journal of Hospitality Management, 81, 94-103. https://doi.org/10.1016/j.ijhm.2019.03.002
• Jones, K. (1996). Trust as an affective attitude. Ethics, 107(1), 4-25.
• Kang, K. Y. ve Jin, H. J. (2007). Influences of consumers' fashion innovativeness and technological innovativeness on attitudes and buying intention toward smart clothing. Fashion & Textile Research Journal, 9(1), 35-40.
• Kasilingam, D. L. (2020). Understanding the attitude and intention to use smartphone chatbots for shopping. Technology in Society, 62, 101280. https://doi.org/10.1016/j.techsoc.2020.101280
• Kasilingam, D. L. ve Soundararaj, A. (2020). Are chatbots going to replace mobile shopping applications? Understanding the attitude and intention to use chatbots for shopping using smartphones. e-journal-First Pan IIT International Management Conference–2018. http://dx.doi.org/10.2139/ssrn.3754149
• Kaya, F., Aydin, F., Schepman, A., Rodway, P., Yetişensoy, O. ve Kaya, M. D. (2024) The roles of personality traits, AI anxiety, and demographic factors in attitudes toward artificial intelligence. International Journal of Human-Computer Interaction, 40(2), 497-514, https://doi.org/10.1080/10447318.2022.2151730
• Lederer, A. L., Maupin, D. J., Sena, M. P., & Zhuang, Y. (2000). The technology acceptance model and the World Wide Web. Decision Support Systems, 29(3), 269-282.
• Lim, F. W., Fakhrorazi, A., Ikhsan, R., Silitonga, K., Loke, W. K. ve Abdullah, N. (2020). The role of personal innovativeness and facilitating conditions in shaping the attitudes of mobile internet banking (MIB) adoption among Generation Y in Malaysia. Preprints. https://doi.org/10.20944/preprints202003.0407.v1
• Lu, L., Cai, R. ve Gursoy, D. (2019). Developing and validating a service robot integration willingness scale. International Journal of Hospitality Management, 80, 36-51. https://doi.org/10.1016/j.ijhm.2019.01.005
• Malhotra, N. (2023). Pazarlama araştırmaları-bir uygulamalı yönelim (M. Nakip ve A. B. Hamşıoğlu, Çev.). Palme Yayınevi.
• Malhotra, G. ve Ramalingam, M. (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
• Marangunić, N., & Granić, A. (2015). Technology acceptance model: A literature review from 1986 to 2013. Universal Access in The Information Society, 14, 81-95.
• McLean, G., Osei-Frimpong, K., Wilson, A. ve Pitardi, V. (2020). How live chat assistants drive travel consumers’ attitudes, trust and purchase intentions: The role of human touch. International Journal of Contemporary Hospitality Management, 32(5), 1795-1812. https://doi.org/10.1108/IJCHM-07-2019-0605
• Midgley, D. F. ve Dowling, G. R. (1978). Innovativeness: The concept and its measurement. Journal of Consumer Research, 4(4), 229-242.
• Moorman, C., Zaltman, G. ve Deshpande, R. (1992). Relationships between providers and users of market research: The dynamics of trust within and between organizations. Journal of Marketing Research, 29(3), 314-328.
• Nagy, S. ve Hadjú, N. (2021). Consumer acceptance of the use of artificial intelligence in online shopping: Evidence from Hungary. Amfiteatru Economic, 23(56), 155-173. https://doi.org/10.24818/EA/2021/56/155
• Nguyen, C. T. (2022). Trust as an unquestioning attitude. Oxford Studies in Epistemology. https://philarchive.org/ rec/NGUTAA
• Nilsson, N. J. (2009). The quest for artificial intelligence. Cambridge University Press.
• Pallister, J. G. ve Foxall, G. R. (1998). Psychometric properties of the Hurt–Joseph–Cook scales for the measurement of innovativeness. Technovation, 18(11), 663-675.
• Park, J. ve Woo, S. E. (2022). Who likes artificial intelligence? Personality predictors of attitudes toward artificial intelligence. The Journal of Psychology, 156(1), 68-94. https://doi.org/10.1080/00223980.2021.2012109
• Pelau, C., Dabija, D. C. ve Ene, I. (2021). What makes an AI device human-like? The role of interaction quality, empathy and perceived psychological anthropomorphic characteristics in the acceptance of artificial intelligence in the service industry. Computers in Human Behavior, 122, 106855. https://doi.org/10.1016/j.chb.2021.106855
• Pitardi, V. ve Marriott, H. R. (2021). Alexa, she's not human but… Unveiling the drivers of consumers' trust in voice‐based artificial intelligence. Psychology & Marketing, 38(4), 626-642. https://doi.org/10.1002/mar.21457
• Qin, H., Peak, D. A. ve Prybutok, V. (2021). A virtual market in your pocket: How does mobile augmented reality (MAR) influence consumer decision making? Journal of Retailing and Consumer Services, 58, 102337. https://doi.org/10.1016/j.jretconser.2020.102337
• Rahmiati, R. ve Yuannita, I. I. (2019). The influence of trust, perceived usefulness, perceived ease of use, and attitude on purchase intention. Jurnal Kajian Manajemen Bisnis, 8(1), 27-34.
• Ramadania, S. ve Braridwan, Z. (2019). The influence of perceived usefulness, ease of use, attitude, self-efficacy, and subjective norms toward intention to use online shopping. International Business and Accounting Research Journal, 3(1), 1-14.
• Rogers, E. M. (1983). Diffusion of innovations (3. Baskı). New York: Macmillan Publishing Co., Inc.
• Rogers, E. M. ve Shoemaker, F. F. (1971). Communication of innovations; A cross-cultural approach. New York: The Free Press.
• Sarstedt, M., Ringle, C. M. ve Hair, J. F. (2021). Partial least squares structural equation modeling. C. Homburg, M. Klarmann ve A. E. Vomberg (Eds.), Handbook of market research içinde (ss. 1-47). Springer.
• Schepman, A. ve Rodway, P. (2020). Initial validation of the general attitudes towards artificial intelligence scale. Computers in Human Behavior Reports, 1, 100014.
• Schepman, A. ve Rodway, P. (2022). The general attitudes towards artificial intelligence scale (GAAIS): Confirmatory validation and associations with personality, corporate distrust, and general trust. International Journal of Human-Computer Interaction, 39(13), 2724-2741. https://doi.org/10.1080/10447318.2022.2085400
• Sekaran, U. ve Bougie, R. (2016). Research methods for business: A skill building approach (Seventh ed.). John Wiley & Sons.
• Senali, M. G., Iranmanesh, M., Ismail, F. N., Rahim, N. F. A., Khoshkam, M. ve Mirzaei, M. (2023). Determinants of intention to use e-Wallet: Personal innovativeness and propensity to trust as moderators. International Journal of Human-Computer Interaction, 39(12), 2361-2373. https://doi.org/10.1080/10447318.2022.2076309
• Siahaan, A. ve Thiodore, J. (2022). Analysis influence of consumer behavior to purchase organic foods in Jakarta [Bildiri Sunumu]. 6th International Conference of Food, Agriculture, and Natural Resource (IC-FANRES 2021).
• Soares, A. M., Camacho, C., & Elmashhara, M. G. (2022). Understanding the impact of chatbots on purchase intention. World conference on information systems and technologies içinde (ss. 462-472). Springer International Publishing.
• Uzir, M. U. H., Bukari, Z., Al Halbusi, H., Lim, R., Wahab, S. N., Rasul, T., ... ve Eneizan, B. (2023). Applied artificial intelligence: Acceptance-intention-purchase and satisfaction on smartwatch usage in a Ghanaian context. Heliyon, 9(8). https://doi.org/10.1016/j.heliyon.2023.e18666
• Verma, S., Sharma, R., Deb, S. ve Maitra, D. (2021). Artificial intelligence in marketing: Systematic review and future research direction. International Journal of Information Management Data Insights, 1(1), 100002. https://doi.org/10.1016/j.jjimei.2020.100002
• We Are Social (2024). Digital 2024 global overview report. 13 Temmuz 2024 tarihinde https://wearesocial.com/uk/blog/2024/01/digital-2024-5-billion-social-media-users/ adresinden edinilmiştir.
• Yıldız, E. (2020). SmartPLS ile yapısal eşitlik modellemesi reflektif ve formatif yapılar. Seçkin Yayıncılık.
• Yen, C. ve Chiang, M-C. (2020). Trust me, if you can: A study on the factors that influence consumers’ purchase intention triggered by chatbots based on brain image evidence and self-reported assessments. Behaviour & Information Technology, https://doi.org/10.1080/0144929X.2020.1743362
• YouGov. (2023). Daily survey: ChatGPT January 24 - 27, 2023 - 1000 US adult citizens. 13 Temmuz 2024 tarihinde https://d3nkl3psvxxpe9.cloudfront.net/documents/tabs_ChatGPT_20230124.pdf adresinden edinilmiştir.
• Yükseköğretim Bilgi Yönetim Sistemi (2023). Yükseköğretim istatistikleri 2023-2024 öğretim yılı öğrenci sayıları özet tablosu. 13 Temmuz 2024 tarihinde https://istatistik.yok.gov.tr/ adresinden edinilmiştir.
• Zhang, C. ve Lu, Y. (2021). Study on artificial intelligence: The state of the art and future prospects. Journal of Industrial Information Integration, 23, 100224. https://doi.org/10.1016/j.jii.2021.100224
• Zhao, X., Lynch Jr, J. G. ve Chen, Q. (2010). Reconsidering Baron and Kenny: Myths and truths about mediation analysis. Journal of Consumer Research, 37(2), 197-206.