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Towards a Driverless Future: A Study on Consumer Attitudes Toward Autonomous Vehicles

Year 2025, Volume: 39 Issue: 3, 341 - 358, 15.07.2025
https://doi.org/10.16951/trendbusecon.1674171

Abstract

With the advancement of digitalization, automation technology is now used in almost every field, becoming an indispensable part of daily life. One of the latest applications of automation technology, autonomous vehicles, is a technology with the potential to fundamentally transform the transportation system. This change that the automotive sector has undergone with technology automates the driving experience of people. The aim of this study is to examine the attitudes towards autonomous vehicles and to reveal the elements that facilitate and hinder the adoption of autonomous vehicles. In this context, the in-depth interview data were examined with content analysis and themes were revealed. According to the results of the study, the factors that facilitate the adoption of autonomous vehicles are perceived benefit (environmental, social, emotional, societal), perceived ease of use and usefulness, personality traits and lifestyle, involvement, visibility and penetration, trialability and novelty. The factors that hinder the adoption of autonomous vehicles were revealed as data privacy and technology anxiety, high price perception, low perceived enjoyment of use, lack of trust and uncertainty.

References

  • Acheampong, R. A., Legacy, C., Kingston, R., & Stone, J. (2023). Imagining urban mobility futures in the era of autonomous vehicles—insights from participatory visioning and multi-criteria appraisal in the UK and Australia. Transport Policy, 136, 193-208.[CrossRef]
  • Ahn, J., & Kwon, J. (2022). Shopping with perceived benefits of sustainable consumption in online resale platforms. Marketing Intelligence & Planning, 40(3), 408-424. [CrossRef]
  • Akkaya, S., & Özbay, H. (2022). Otonom araçların akıllı ulaşım politikaları üzerindeki etkileri. Akıllı Ulaşım Sistemleri ve Uygulamaları Dergisi, 5(2), 200-210. [CrossRef]
  • Arora, N., & Aggarwal, A. (2018). The role of perceived benefits in formation of online shopping attitude among women shoppers in India. South Asian Journal of Business Studies, 7(1), 91-110. [CrossRef]
  • Baki, A., & Gökçek, T. (2012). Karma yöntem araştirmalarina genel bir bakış. Elektronik Sosyal Bilimler Dergisi, 11(42), 1-21. [CrossRef]
  • Bayındır, S. (2021). Otonom araçlarda sözleşme dışı hukuki sorumluluk hallerinin değerlendirilmesi. İstanbul Aydın Üniversitesi Hukuk Fakültesi Dergisi, 7(2), 383-410. [CrossRef]
  • Bengtsson, M. (2016). How to plan and perform a qualitative study using content analysis. NursingPlus Open, 2, 8–14. [CrossRef]
  • Berry, L. L., Carbone, L. P., & Haeckel, S. H. (2002). Managing the total customer experience. MIT Sloan management review.
  • Bloch, P.H., Commuri, S., & Arnold, T.J. (2009). "Exploring the origins of enduring product involvement", Qualitative Market Research, 12(1), 49-69. [CrossRef] 
  • Chen, Y., Khan, S. K., Shiwakoti, N., Stasinopoulos, P., & Aghabayk, K. (2023). Analysis of Australian public acceptance of fully automated vehicles by extending technology acceptance model. Case Studies On Transport Policy, 14, [CrossRef]
  • Choi, J. K., & Ji, Y. G. (2015). Investigating the importance of trust on adopting an autonomous vehicle. International Journal of Human-Computer Interaction, 31(10), 692-702. [CrossRef]
  • Davis, F.D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), 319–340. [CrossRef]
  • Demoulin, N. T., & Djelassi, S. (2016). An integrated model of self-service technology (SST) usage in a retail context. International Journal of Retail & Distribution Management, 44(5), 540-559. [CrossRef]
  • Dirsehan, T., & Can, C. (2020). Examination of trust and sustainability concerns in autonomous vehicle adoption. Technology in Society, 63, 101361. [CrossRef]
  • Ernst, C. P. H., & Reinelt, P. (2017). Autonomous Car Acceptance: Safety vs. Personal Driving Enjoyment. In AMCIS.
  • Fagnant, D. J., & Kockelman, K. (2015). Preparing a nation for autonomous vehicles: opportunities, barriers and policy recommendations. Transportation Research Part A: Policy and Practice, 77, 167-181. [CrossRef]
  • Fusch, P. I., & Ness, L. R. (2015). Are we there yet? Data saturation in qualitative research. The Qualitative Report, 20, 1408–1416. [CrossRef]
  • Gatersleben, B. (2007). Affective and Symbolic Aspects of Car Use. Gärling, T. & Steg, L. (Ed.) Threats from Car Traffic to the Quality of Urban Life, Emerald Group Publishing Limited, Leeds, 219-233. [CrossRef] 
  • Gürsoy, O. (2023). Kamu yönetimi perspektifinden otonom araç teknolojisi. Anadolu Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi, 24(2), 364-386. [CrossRef]
  • Haboucha, C. J., Ishaq, R., & Shiftan, Y. (2017). User preferences regarding autonomous vehicles. Transportation Research Part C: Emerging Technologies, 78, 37-49. [CrossRef]
  • Hegner, S. M., Beldad, A. D., & Brunswick, G. J. (2019). In automatic we trust: Investigating the impact of trust, control, personality characteristics, and extrinsic and intrinsic motivations on the acceptance of autonomous vehicles. International Journal of Human–Computer Interaction, 35(19), 1769-1780. [CrossRef]
  • Holbrook, M. B., & Hirschman, E. C. (1982). The experiential aspects of consumption: Consumer fantasies, feelings, and fun. Journal of Consumer Research, 9(2), 132-140. [CrossRef]
  • Huang, T. (2023). Psychological factors affecting potential users’ intention to use autonomous vehicles. PLoS One, 18(3), [CrossRef]
  • Huang, Y., & Qian, L. (2021). Understanding the potential adoption of autonomous vehicles in China: The perspective of behavioral reasoning theory. Psychology & Marketing, 38(4), 669-690. [CrossRef]
  • Kara, E. (2023). Karma araştırma yönteminin teorik olarak ve örnek araştırmalarla incelenmesi. Girişimcilik İnovasyon ve Pazarlama Araştırmaları Dergisi, 7(13), 73-90. [CrossRef]
  • Krippendorff, K. (2018). Content analysis: An introduction to its methodology. Sage Publications.
  • Lee, D., & Hess, D. J. (2022). Public concerns and connected and automated vehicles: safety, privacy, and data security. Humanities and Social Sciences Communications, 9(1),1-13. [CrossRef]
  • Lee, J., Lee, D., Park, Y., Lee, S., & Ha, T. (2019). Autonomous vehicles can be shared, but a feeling of ownership is important: Examination of the influential factors for intention to use autonomous vehicles. Transportation Research Part C: Emerging Technologies, 107, 411-422. [CrossRef]
  • Liu, P., Yang, R., & Xu, Z. (2019). Public acceptance of fully automated driving: Effects of social trust and risk/benefit perceptions. Risk Analysis, 39(2), 326-341. [CrossRef]
  • Metin, O., & Ünal, Ş. (2022). İçerik analizi tekniği: İletişim bilimlerinde ve sosyolojide doktora tezlerinde kullanımı. Anadolu Üniversitesi Sosyal Bilimler Dergisi, 22(Özel Sayı 2), 273-294. [CrossRef]
  • Michaelidou, N., & Dibb, S. (2008). Consumer involvement: a new perspective. The Marketing Review, 8(1), 83-99. [CrossRef]
  • Moons, I., & De Pelsmacker, P. (2012). Emotions as determinants of electric car usage intention. Journal of Marketing Management, 28(3-4), 195-237. [CrossRef]
  • Onurlu, Ö., Bilgiseven, B., & Bilgili, S. (2022). Influencerın kaynak güvenilirli̇ğini̇n satın alma niyeti̇ üzeri̇ne etki̇si̇nde marka güveninin aracı rolü (Annelere yöneli̇k bebek bakım ürünleri üzeri̇ne araştırma). Atatürk Üniversitesi İktisadi ve İdari Bilimler Dergisi (Trends in Business and Economics), 36(2), 165-174. [CrossRef]
  • Othman, K. (2021). Public acceptance and perception of autonomous vehicles: a comprehensive review. AI and Ethics, 1(3), 355-387. [CrossRef]
  • Powell, A. E., Camilleri, A. R., Dobele, A. R., & Stavros, C. (2017). Developing a scale for the perceived social benefits of sharing. Journal of Consumer Marketing, 34(6), 496-504. [CrossRef]
  • Prendergast, G.P., Tsang, A.S.L. & Chan, C.N.W. (2010). The interactive influence of country of origin of brand and product involvement on purchase intention. Journal of Consumer Marketing, 27(2), 180-188. [CrossRef] 
  • Rijnsoever, F. J., Castaldi, C., & Dijst, M. J. (2012). In what sequence are information sources consulted by involved consumers? The case of automobile pre-purchase search. Journal of Retailing and Consumer Services, 19(3), 343-352. [CrossRef]
  • Rogers, E. M. (1995). Diffusion of Innovations: Modifications of a Model for Telecommunications. In Die diffusion von innovationen in der telekommunikation, 25–38. Berlin, Germany: Springer.
  • SAE (2014). Taxonomy and definitions for terms related to on-road motor vehicle automated driving systems. [CrossRef]
  • Shabanpour, R., Shamshiripour, A., & Mohammadian, A. (2018). Modeling adoption timing of autonomous vehicles: innovation diffusion approach. Transportation, 45, 1607-1621. [CrossRef]
  • Silva, J. P. N., Júnior, P. D. O. L., Grützmann, A., Antunes, L. G. R., Pedrosa, G., Oliveira, C. C., & Sugano, J. Y. (2022). Factors for diffusion of autonomous vehicles technology: text mining of online news. International Journal of Automotive Technology and Management, 22(4), 424-449. [CrossRef]
  • Solomon, M. R. (2010). Consumer behaviour: A European perspective. Pearson education.
  • Taştan, Y., & Kaymaz, H. (2021). Otonom Araçların Yaygınlaşmasının Önündeki Zorluklar. International Journal of Advances in Engineering and Pure Sciences, 33(2), 195-209. [CrossRef]
  • Tamboto, F. C., & Pangemanan, S. S. (2019). The influence of product knowledge and product involvement toward purchase decision of nissan cars customers. Jurnal EMBA: Jurnal Riset Ekonomi, Manajemen, Bisnis Dan Akuntansi, 7(1). [CrossRef]
  • Tosuntaş, Ş. B., & Çubukçu, Z. (2019). Yeniliklerin yayılması teorisi bağlamında öğretmen adaylarının bulut teknolojisi kullanımlarını etkileyen faktörler. Eskişehir Osmangazi Üniversitesi Sosyal Bilimler Dergisi, 20, 957-976. [CrossRef]
  • Ulu, C., & Smith, J. E. (2009). Uncertainty, information acquisition, and technology adoption. Operations Research, 57(3), 740-752. [CrossRef]
  • Uslu, F., & Demir, E. (2023). Nitel bir veri toplama tekniği: Derinlemesine görüşme. Hacettepe Üniversitesi Edebiyat Fakültesi Dergisi, 40(1), 289-299. [CrossRef]
  • Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003). User acceptance of information technology: Toward a unified view. MIS Quarterly, 425-478. [CrossRef]
  • Venkatesh, V., Thong, J. Y., & Xu, X. (2012). Consumer acceptance and use of information technology: extending the unified theory of acceptance and use of technology. MIS Quarterly, 157-178. [CrossRef]
  • Wang, X., Wong, Y. D., Li, K. X., & Yuen, K. F. (2020). This is not me! Technology-identity concerns in consumers’ acceptance of autonomous vehicle technology. Transportation Research Part F: Traffic Psychology and Behaviour, 74, 345-360. [CrossRef]
  • Webb, J.R. (1995), Understanding and Designing Marketing Research. The Dryden Press..
  • Wells, J. D., Campbell, D. E., Valacich, J. S., & Featherman, M. (2010). The effect of perceived novelty on the adoption of information technology innovations: a risk/reward perspective. Decision Sciences, 41(4), 813-843. [CrossRef]
  • Xiao, J., & Goulias, K. G. (2022). Perceived usefulness and intentions to adopt autonomous vehicles. Transportation Research Part A: Policy And Practice, 161, 170-185. [CrossRef]
  • Yuen, K. F., Cai, L., Qi, G., & Wang, X. (2021). Factors influencing autonomous vehicle adoption: An application of the technology acceptance model and innovation diffusion theory. Technology Analysis & Strategic Management, 33(5), 505-519. [CrossRef]
  • Yuen, K. F., Wong, Y. D., Ma, F., & Wang, X. (2020). The determinants of public acceptance of autonomous vehicles: An innovation diffusion perspective. Journal of Cleaner Production, 270, 121904. [CrossRef]
  • Zaichkowsky, J. L. (1985). Measuring the involvement construct. Journal of Consumer Research, 341-352. [CrossRef]
  • Zhang, T., Tao, D., Qu, X., Zhang, X., Zeng, J., Zhu, H., & Zhu, H. (2020). Automated vehicle acceptance in China: Social influence and initial trust are key determinants. Transportation Research Part C: Emerging Technologies, 112, 220-233. [CrossRef]

Sürücüsüz Geleceğe Doğru: Otonom Araçlara Yönelik Tüketici Tutumları Üzerine Bir Araştırma

Year 2025, Volume: 39 Issue: 3, 341 - 358, 15.07.2025
https://doi.org/10.16951/trendbusecon.1674171

Abstract

Dijitalleşme ile gelişen otomasyon teknolojisi, günümüzde neredeyse her alanda kullanılmakta, günlük hayatının vazgeçilmez bir parçası haline gelmektedir. Otomasyon teknolojisinin en yeni uygulamalarından biri olan otonom araçlar, ulaşım sistemini temelden değiştirme potansiyeline sahip bir teknolojidir. Otomotiv sektörünün teknoloji ile geçirdiği bu değişim, insanların gerçekleştirdiği sürüş deneyimini otomatikleştirmektedir. Bu çalışmanın amacı otonom araçlara yönelik tutumları inceleyerek, otonom araçların benimsenmesini kolaylaştıran ve zorlaştıran unsurları ortaya çıkarmaktır. Bu kapsamda gerçekleştirilen derinlemesine görüşmelerden elde edilen veriler içerik analizi ile incelenmiş, temalar ortaya çıkarılmıştır. Çalışma sonuçlarına göre otonom araçları benimsemeyi kolaylaştıran faktörler algılanan fayda (çevresel, sosyal, duygusal, toplumsal), algılanan kullanım kolaylığı ve kullanışlılık, kişilik özellikleri ve hayat tarzı, ilgilenim, görünürlük ve yaygınlaşma, denenebilirlik ve yeniliktir. Otonom araçları benimsemeyi zorlaştıran faktörler ise veri gizliliği ve teknoloji endişesi, yüksek fiyat algısı, düşük algılanan kullanım keyfi, güven eksikliği ve belirsizlik olarak ortaya çıkarılmıştır.

References

  • Acheampong, R. A., Legacy, C., Kingston, R., & Stone, J. (2023). Imagining urban mobility futures in the era of autonomous vehicles—insights from participatory visioning and multi-criteria appraisal in the UK and Australia. Transport Policy, 136, 193-208.[CrossRef]
  • Ahn, J., & Kwon, J. (2022). Shopping with perceived benefits of sustainable consumption in online resale platforms. Marketing Intelligence & Planning, 40(3), 408-424. [CrossRef]
  • Akkaya, S., & Özbay, H. (2022). Otonom araçların akıllı ulaşım politikaları üzerindeki etkileri. Akıllı Ulaşım Sistemleri ve Uygulamaları Dergisi, 5(2), 200-210. [CrossRef]
  • Arora, N., & Aggarwal, A. (2018). The role of perceived benefits in formation of online shopping attitude among women shoppers in India. South Asian Journal of Business Studies, 7(1), 91-110. [CrossRef]
  • Baki, A., & Gökçek, T. (2012). Karma yöntem araştirmalarina genel bir bakış. Elektronik Sosyal Bilimler Dergisi, 11(42), 1-21. [CrossRef]
  • Bayındır, S. (2021). Otonom araçlarda sözleşme dışı hukuki sorumluluk hallerinin değerlendirilmesi. İstanbul Aydın Üniversitesi Hukuk Fakültesi Dergisi, 7(2), 383-410. [CrossRef]
  • Bengtsson, M. (2016). How to plan and perform a qualitative study using content analysis. NursingPlus Open, 2, 8–14. [CrossRef]
  • Berry, L. L., Carbone, L. P., & Haeckel, S. H. (2002). Managing the total customer experience. MIT Sloan management review.
  • Bloch, P.H., Commuri, S., & Arnold, T.J. (2009). "Exploring the origins of enduring product involvement", Qualitative Market Research, 12(1), 49-69. [CrossRef] 
  • Chen, Y., Khan, S. K., Shiwakoti, N., Stasinopoulos, P., & Aghabayk, K. (2023). Analysis of Australian public acceptance of fully automated vehicles by extending technology acceptance model. Case Studies On Transport Policy, 14, [CrossRef]
  • Choi, J. K., & Ji, Y. G. (2015). Investigating the importance of trust on adopting an autonomous vehicle. International Journal of Human-Computer Interaction, 31(10), 692-702. [CrossRef]
  • Davis, F.D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), 319–340. [CrossRef]
  • Demoulin, N. T., & Djelassi, S. (2016). An integrated model of self-service technology (SST) usage in a retail context. International Journal of Retail & Distribution Management, 44(5), 540-559. [CrossRef]
  • Dirsehan, T., & Can, C. (2020). Examination of trust and sustainability concerns in autonomous vehicle adoption. Technology in Society, 63, 101361. [CrossRef]
  • Ernst, C. P. H., & Reinelt, P. (2017). Autonomous Car Acceptance: Safety vs. Personal Driving Enjoyment. In AMCIS.
  • Fagnant, D. J., & Kockelman, K. (2015). Preparing a nation for autonomous vehicles: opportunities, barriers and policy recommendations. Transportation Research Part A: Policy and Practice, 77, 167-181. [CrossRef]
  • Fusch, P. I., & Ness, L. R. (2015). Are we there yet? Data saturation in qualitative research. The Qualitative Report, 20, 1408–1416. [CrossRef]
  • Gatersleben, B. (2007). Affective and Symbolic Aspects of Car Use. Gärling, T. & Steg, L. (Ed.) Threats from Car Traffic to the Quality of Urban Life, Emerald Group Publishing Limited, Leeds, 219-233. [CrossRef] 
  • Gürsoy, O. (2023). Kamu yönetimi perspektifinden otonom araç teknolojisi. Anadolu Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi, 24(2), 364-386. [CrossRef]
  • Haboucha, C. J., Ishaq, R., & Shiftan, Y. (2017). User preferences regarding autonomous vehicles. Transportation Research Part C: Emerging Technologies, 78, 37-49. [CrossRef]
  • Hegner, S. M., Beldad, A. D., & Brunswick, G. J. (2019). In automatic we trust: Investigating the impact of trust, control, personality characteristics, and extrinsic and intrinsic motivations on the acceptance of autonomous vehicles. International Journal of Human–Computer Interaction, 35(19), 1769-1780. [CrossRef]
  • Holbrook, M. B., & Hirschman, E. C. (1982). The experiential aspects of consumption: Consumer fantasies, feelings, and fun. Journal of Consumer Research, 9(2), 132-140. [CrossRef]
  • Huang, T. (2023). Psychological factors affecting potential users’ intention to use autonomous vehicles. PLoS One, 18(3), [CrossRef]
  • Huang, Y., & Qian, L. (2021). Understanding the potential adoption of autonomous vehicles in China: The perspective of behavioral reasoning theory. Psychology & Marketing, 38(4), 669-690. [CrossRef]
  • Kara, E. (2023). Karma araştırma yönteminin teorik olarak ve örnek araştırmalarla incelenmesi. Girişimcilik İnovasyon ve Pazarlama Araştırmaları Dergisi, 7(13), 73-90. [CrossRef]
  • Krippendorff, K. (2018). Content analysis: An introduction to its methodology. Sage Publications.
  • Lee, D., & Hess, D. J. (2022). Public concerns and connected and automated vehicles: safety, privacy, and data security. Humanities and Social Sciences Communications, 9(1),1-13. [CrossRef]
  • Lee, J., Lee, D., Park, Y., Lee, S., & Ha, T. (2019). Autonomous vehicles can be shared, but a feeling of ownership is important: Examination of the influential factors for intention to use autonomous vehicles. Transportation Research Part C: Emerging Technologies, 107, 411-422. [CrossRef]
  • Liu, P., Yang, R., & Xu, Z. (2019). Public acceptance of fully automated driving: Effects of social trust and risk/benefit perceptions. Risk Analysis, 39(2), 326-341. [CrossRef]
  • Metin, O., & Ünal, Ş. (2022). İçerik analizi tekniği: İletişim bilimlerinde ve sosyolojide doktora tezlerinde kullanımı. Anadolu Üniversitesi Sosyal Bilimler Dergisi, 22(Özel Sayı 2), 273-294. [CrossRef]
  • Michaelidou, N., & Dibb, S. (2008). Consumer involvement: a new perspective. The Marketing Review, 8(1), 83-99. [CrossRef]
  • Moons, I., & De Pelsmacker, P. (2012). Emotions as determinants of electric car usage intention. Journal of Marketing Management, 28(3-4), 195-237. [CrossRef]
  • Onurlu, Ö., Bilgiseven, B., & Bilgili, S. (2022). Influencerın kaynak güvenilirli̇ğini̇n satın alma niyeti̇ üzeri̇ne etki̇si̇nde marka güveninin aracı rolü (Annelere yöneli̇k bebek bakım ürünleri üzeri̇ne araştırma). Atatürk Üniversitesi İktisadi ve İdari Bilimler Dergisi (Trends in Business and Economics), 36(2), 165-174. [CrossRef]
  • Othman, K. (2021). Public acceptance and perception of autonomous vehicles: a comprehensive review. AI and Ethics, 1(3), 355-387. [CrossRef]
  • Powell, A. E., Camilleri, A. R., Dobele, A. R., & Stavros, C. (2017). Developing a scale for the perceived social benefits of sharing. Journal of Consumer Marketing, 34(6), 496-504. [CrossRef]
  • Prendergast, G.P., Tsang, A.S.L. & Chan, C.N.W. (2010). The interactive influence of country of origin of brand and product involvement on purchase intention. Journal of Consumer Marketing, 27(2), 180-188. [CrossRef] 
  • Rijnsoever, F. J., Castaldi, C., & Dijst, M. J. (2012). In what sequence are information sources consulted by involved consumers? The case of automobile pre-purchase search. Journal of Retailing and Consumer Services, 19(3), 343-352. [CrossRef]
  • Rogers, E. M. (1995). Diffusion of Innovations: Modifications of a Model for Telecommunications. In Die diffusion von innovationen in der telekommunikation, 25–38. Berlin, Germany: Springer.
  • SAE (2014). Taxonomy and definitions for terms related to on-road motor vehicle automated driving systems. [CrossRef]
  • Shabanpour, R., Shamshiripour, A., & Mohammadian, A. (2018). Modeling adoption timing of autonomous vehicles: innovation diffusion approach. Transportation, 45, 1607-1621. [CrossRef]
  • Silva, J. P. N., Júnior, P. D. O. L., Grützmann, A., Antunes, L. G. R., Pedrosa, G., Oliveira, C. C., & Sugano, J. Y. (2022). Factors for diffusion of autonomous vehicles technology: text mining of online news. International Journal of Automotive Technology and Management, 22(4), 424-449. [CrossRef]
  • Solomon, M. R. (2010). Consumer behaviour: A European perspective. Pearson education.
  • Taştan, Y., & Kaymaz, H. (2021). Otonom Araçların Yaygınlaşmasının Önündeki Zorluklar. International Journal of Advances in Engineering and Pure Sciences, 33(2), 195-209. [CrossRef]
  • Tamboto, F. C., & Pangemanan, S. S. (2019). The influence of product knowledge and product involvement toward purchase decision of nissan cars customers. Jurnal EMBA: Jurnal Riset Ekonomi, Manajemen, Bisnis Dan Akuntansi, 7(1). [CrossRef]
  • Tosuntaş, Ş. B., & Çubukçu, Z. (2019). Yeniliklerin yayılması teorisi bağlamında öğretmen adaylarının bulut teknolojisi kullanımlarını etkileyen faktörler. Eskişehir Osmangazi Üniversitesi Sosyal Bilimler Dergisi, 20, 957-976. [CrossRef]
  • Ulu, C., & Smith, J. E. (2009). Uncertainty, information acquisition, and technology adoption. Operations Research, 57(3), 740-752. [CrossRef]
  • Uslu, F., & Demir, E. (2023). Nitel bir veri toplama tekniği: Derinlemesine görüşme. Hacettepe Üniversitesi Edebiyat Fakültesi Dergisi, 40(1), 289-299. [CrossRef]
  • Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003). User acceptance of information technology: Toward a unified view. MIS Quarterly, 425-478. [CrossRef]
  • Venkatesh, V., Thong, J. Y., & Xu, X. (2012). Consumer acceptance and use of information technology: extending the unified theory of acceptance and use of technology. MIS Quarterly, 157-178. [CrossRef]
  • Wang, X., Wong, Y. D., Li, K. X., & Yuen, K. F. (2020). This is not me! Technology-identity concerns in consumers’ acceptance of autonomous vehicle technology. Transportation Research Part F: Traffic Psychology and Behaviour, 74, 345-360. [CrossRef]
  • Webb, J.R. (1995), Understanding and Designing Marketing Research. The Dryden Press..
  • Wells, J. D., Campbell, D. E., Valacich, J. S., & Featherman, M. (2010). The effect of perceived novelty on the adoption of information technology innovations: a risk/reward perspective. Decision Sciences, 41(4), 813-843. [CrossRef]
  • Xiao, J., & Goulias, K. G. (2022). Perceived usefulness and intentions to adopt autonomous vehicles. Transportation Research Part A: Policy And Practice, 161, 170-185. [CrossRef]
  • Yuen, K. F., Cai, L., Qi, G., & Wang, X. (2021). Factors influencing autonomous vehicle adoption: An application of the technology acceptance model and innovation diffusion theory. Technology Analysis & Strategic Management, 33(5), 505-519. [CrossRef]
  • Yuen, K. F., Wong, Y. D., Ma, F., & Wang, X. (2020). The determinants of public acceptance of autonomous vehicles: An innovation diffusion perspective. Journal of Cleaner Production, 270, 121904. [CrossRef]
  • Zaichkowsky, J. L. (1985). Measuring the involvement construct. Journal of Consumer Research, 341-352. [CrossRef]
  • Zhang, T., Tao, D., Qu, X., Zhang, X., Zeng, J., Zhu, H., & Zhu, H. (2020). Automated vehicle acceptance in China: Social influence and initial trust are key determinants. Transportation Research Part C: Emerging Technologies, 112, 220-233. [CrossRef]
There are 57 citations in total.

Details

Primary Language Turkish
Subjects Marketing Management, Consumer Behaviour
Journal Section Research Articles
Authors

Şirin Gizem Köse 0000-0003-4075-7166

Early Pub Date July 13, 2025
Publication Date July 15, 2025
Submission Date April 11, 2025
Acceptance Date June 2, 2025
Published in Issue Year 2025 Volume: 39 Issue: 3

Cite

APA Köse, Ş. G. (2025). Sürücüsüz Geleceğe Doğru: Otonom Araçlara Yönelik Tüketici Tutumları Üzerine Bir Araştırma. Trends in Business and Economics, 39(3), 341-358. https://doi.org/10.16951/trendbusecon.1674171

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