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Artificial Intelligence and Consumer’s Perception: A Research on Environmentally Conscious Consumer

Yıl 2024, Cilt: 4 Sayı: 2, 105 - 115

Öz

The purpose of this study is to explore the limited exploration of the simultaneous influence of beneficial artificial intelligence, destructive artificial intelligence, and risky artificial intelligence on green purchase intention and green purchase behaviour using the Technology Acceptance Model (TAM) and Innovation Resistance Theory (IRT). Further, it also checks the impact of green purchase intention on green purchase behaviour. Data was collected using a well-structured questionnaire from 124 consumers through online mode and analyzed using Confirmatory Factor Analysis (CFA) for reliability and validity concerns and Structural Equation Modelling (SEM) for interaction among the variables. The study's results exhibit the positive impact of beneficial artificial intelligence on green purchase intention and green purchase behaviour. Also, it reveals that destructive artificial intelligence has a positive impact on green purchase intention but a negative impact on green purchase behaviour. In addition, green purchase intention is found to be the predictor of green purchase behaviour. The extant literature is found on the impact of artificial intelligence on purchase behaviour. However, no research has been done on consumer perception of artificial intelligence and its impact on green purchase intention and green purchase behaviour as per the author’s knowledge. This study contributes to the literature of artificial intelligence as well as green consumer behaviour.

Kaynakça

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Yıl 2024, Cilt: 4 Sayı: 2, 105 - 115

Öz

Kaynakça

  • Adwan, A., & Aladwan, R. (2022). Use of artificial intelligence system to predict consumers’ behaviours. International Journal of Data and Network Science, 6(4), 1223-1232.
  • Ajzen, I. and Fishbein, M. (1980) Understanding Attitudes and Predicting Social Behaviour. Englewood Cliffs, NJ: Prentice-Hall.
  • Alagarsamy, S., Mehrolia, S., & Singh, B. (2021). Mediating effect of brand relationship quality on relational bonds and online grocery retailer loyalty. Journal of Internet Commerce, 20(2), 246-272.
  • Ali, M., Ullah, S., Ahmad, M. S., Cheok, M. Y., & Alenezi, H. (2023). Assessing the impact of green consumption behaviour and green purchase intention among millennials toward sustainable environment. Environmental Science and Pollution Research, 30(9), 23335-23347.
  • Ameen, N., Tarhini, A., Reppel, A., & Anand, A. (2021). Customer experiences in the age of artificial intelligence. Computers in Human Behaviour, 114, 106548.
  • Anderson, J. C., & Gerbing, D. W. (1984). The effect of sampling error on convergence, improper solutions, and goodness-of-fit indices for maximum likelihood confirmatory factor analysis. Psychometrika, 49, 155-173.
  • André, Q., Carmon, Z., Wertenbroch, K., Crum, A., Frank, D., Goldstein, W., ... & Yang, H. (2018). Consumer choice and autonomy in the age of artificial intelligence and big data. Customer needs and solutions, 5, 28-37.
  • Arsenijevic, U. and Jovic, M. (2019) ‘Artificial intelligence marketing: Chatbots.’ 2019 International Conference on Artificial Intelligence: Applications and Innovations. Retrieved from: IEEE Xplore Database [Accessed on 7 January 2021].
  • Arsenijevic, U., & Jovic, M. (2019, September). Artificial intelligence marketing: chatbots. In 2019 International Conference on Artificial Intelligence: Applications and Innovations (IC-AIAI) (pp. 19-193). IEEE.
  • Aytekin, P., Virlanuta, F. O., Guven, H., Stanciu, S., & Bolakca, I. (2021). Consumers' perception of risk towards artificial intelligence technologies used in trade: a scale development study. Amfiteatru Economic, 23(56), 65-86.
  • Bhagat, R., Chauhan, V., & Bhagat, P. (2023). Investigating the impact of artificial intelligence on consumer’s purchase intention in e-retailing. Foresight, 25(2), 249-263.
  • Bhatnagar, A., & Singh, V. K. (2021). Conscientiousness and social entrepreneurial vision: testing the moderating effect of family influence. International Journal of Business and Globalisation, 28(4), 435-449.
  • Bhatnagar, A., Verma, S., Singh, V. K., & Dasgupta, A. (2020). Openness to Experience and Green Purchase Behaviour: A Multiple Mediation Analysis. Manag Econ Res J, 6(3).
  • Biswas, S. S. (2023). Role of ChatGPT in public health. Annals of Biomedical Engineering, 51(5), 868–869. https://doi.org/10.1007/s10439-023-03172-7
  • Bray, J., Johns, N., & Kilburn, D. (2011). An exploratory study into the factors impeding ethical consumption. Journal of Business Ethics, 98, 597-608.
  • Brown, T. A. (2015). Confirmatory factor analysis for applied research. Guilford publications.
  • Campbell, C., Sands, S., Ferraro, C., Tsao, H. Y. J., & Mavrommatis, A. (2020). From data to action: How marketers can leverage AI. Business horizons, 63(2), 227-243.
  • Chan-Olmsted, S. M. (2019). A review of artificial intelligence adoptions in the media industry. International Journal on Media Management, 21(3-4), 193-215.
  • Choi, S., Ng, A., 2011. Environmental and economic dimensions of sustainability and price effects on consumer responses. J. Bus. Ethics 104 (2), 269e282.
  • Cooper, G. (2023). Examining science education in ChatGPT: An exploratory study of generative artificial intelligence. Journal of Science Education and Technology, 32(3), 444–452. https://doi.org/10.1007/s10956-023-10039-y
  • Davenport, T., Guha, A., Grewal, D., & Bressgott, T. (2020). How artificial intelligence will change the future of marketing. Journal of the Academy of Marketing Science, 48, 24-42.
  • 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).
  • Dhir, A., Sadiq, M., Talwar, S., Sakashita, M., & Kaur, P. (2021). Why do retail consumers buy green apparel? A knowledge-attitude-behaviour-context perspective. Journal of Retailing and Consumer Services, 59, 102398.
  • Do Paco, A., Shiel, C., & Alves, H. (2019). A new model for testing green consumer behaviour. Journal of Cleaner Production, 207, 998-1006.
  • Feuerriegel, S., Hartmann, J., Janiesch, C., & Zschech, P. (2024). Generative ai. Business & Information Systems Engineering, 66(1), 111-126.
  • Fornell, C., & Larcker, D. F. (1981). Structural equation models with unobservable variables and measurement error: Algebra and statistics.
  • Frank, B. (2021). Artificial intelligence-enabled environmental sustainability of products: Marketing benefits and their variation by consumer, location, and product types. Journal of Cleaner Production, 285, 125242.
  • Frank, D. A., Jacobsen, L. F., Søndergaard, H. A., & Otterbring, T. (2023). In companies we trust: consumer adoption of artificial intelligence services and the role of trust in companies and AI autonomy. Information Technology & People, 36(8), 155-173.
  • Fui-Hoon Nah, F., Zheng, R., Cai, J., Siau, K., & Chen, L. (2023). Generative AI and ChatGPT: Applications, challenges, and AI-human collaboration. Journal of Information Technology Case and Application Research, 25(3), 277-304.
  • Gkikas, D., Theodoridis, P. (2022). AI in Consumer Behaviour. In: Virvou, M., Tsihrintzis, G.A., Tsoukalas, L.H., Jain, L.C. (eds) Advances in Artificial Intelligence-based Technologies. Learning and Analytics in Intelligent Systems, vol 22. Springer, Cham. https://doi.org/10.1007/978-3-030-80571-5_10
  • Grewal, D., Hulland, J., Kopalle, P. K., and Karahanna, E. (2020). The future of technology and marketing: A multidisciplinary perspective. Journal of the Academy of Marketing Science, 48(1), 1–8.
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Toplam 105 adet kaynakça vardır.

Ayrıntılar

Birincil Dil İngilizce
Konular Pazarlama (Diğer)
Bölüm Research Articles
Yazarlar

Apoorva Bhatnagar 0000-0002-1584-034X

Megha Sharma Bu kişi benim 0000-0002-6050-0790

Erken Görünüm Tarihi 24 Ağustos 2024
Yayımlanma Tarihi
Gönderilme Tarihi 22 Mayıs 2024
Kabul Tarihi 15 Ağustos 2024
Yayımlandığı Sayı Yıl 2024 Cilt: 4 Sayı: 2

Kaynak Göster

APA Bhatnagar, A., & Sharma, M. (2024). Artificial Intelligence and Consumer’s Perception: A Research on Environmentally Conscious Consumer. Journal of Metaverse, 4(2), 105-115.

Journal of Metaverse
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Scopus and DOAJ

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Izmir Academy Association
www.izmirakademi.org