How to cite this paper
Adwan, A & Aladwan, R. (2022). Use of artificial intelligence system to predict consumers’ behaviors.International Journal of Data and Network Science, 6(4), 1223-1232.
Refrences
Al Adwan, A., Aladwan, K. M., & Al-Adwan, A. S. (2019). E-marketing strategic for Jordanian small business to increase sale in local e-market. Academy of Strategic Management Journal, 18(6), 1-13.
Adwan, A. A. (2020). The impact of social media on consumer awareness towards buying copy brand. International Jour-nal of Electronic Marketing and Retailing, 11(2), 199-215.
Al-Adwan, A. S., Kokash, H., Adwan, A. A., Alhorani, A., & Yaseen, H. (2020). Building customer loyalty in online shop-ping: the role of online trust, online satisfaction and electronic word of mouth. International Journal of Electronic Marketing and Retailing, 11(3), 278-306.
Al Adwan, A., Zamil, A. M., & Areiqat, A. Y. (2021). FACTORS AFFECTING ONLINE SHOPPING BEHAVIOR OF CONSUMERS UNDERSTANDING FACTORS LEADING TO CONSUMERS'LOYALTY. Academy of Strategic Man-agement Journal, 20, 1-8.
Al Adwan, A., Zamil, A. M., & Areiqat, A. Y. (2021). SOCIAL MEDIA'S IMPACT ON BUSINESS & COMMUNITY. Academy of Strategic Management Journal, 20, 1-5.
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(1), 28-37.
Avcilar, M. Y., & Özsoy, T. (2015). Determining the effects of perceived utilitarian and hedonic value on online shopping intentions. International Journal of Marketing Studies, 7, 27-49.
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.
Bundorf, K., Polyakova, M., & Tai-Seale, M. (2019). How do humans interact with algorithms? Experimental evidence from health insurance (No. w25976). National Bureau of Economic Research.
Belanche, D., Casaló, L. V., & Flavián, C. (2019). Artificial Intelligence in FinTech: understanding robo-advisors adoption among customers. Industrial Management & Data Systems.
Chiu, C. M., Wang, E. T., Fang, Y. H., & Huang, H. Y. (2014). Understanding customers' repeat purchase intentions in B2C e‐commerce: the roles of utilitarian value, hedonic value and perceived risk. Information Systems Journal, 24(1), 85-114.
Chang, H. J., Eckman, M., & Yan, R. N. (2011). Application of the Stimulus-Organism-Response model to the retail envi-ronment: the role of hedonic motivation in impulse buying behavior. The International Review of Retail, Distribution and Consumer Research, 21(3), 233-249.
Cheung, M. W. L. (2015). metaSEM: An R package for meta-analysis using structural equation modeling. Frontiers in psychology, 5, 1521.
Davenport, T., Guha, A., Grewal, D., & Bressgott, T. (2020). How artificial intelligence will change the future of market-ing. Journal of the Academy of Marketing Science, 48(1), 24-42.
Gan, C., & Wang, W. (2017). The influence of perceived value on purchase intention in social commerce context. Internet Research.
Gursoy, D., Chi, O. H., Lu, L., & Nunkoo, R. (2019). Consumer’s acceptance of artificially intelligent (AI) device use in service delivery. International Journal of Information Management, 49, 157-169.
Huang, M. H., & Rust, R. T. (2021). A strategic framework for artificial intelligence in marketing. Journal of the Academy of Marketing Science, 49(1), 30-50.
Henseler, J. (2017). Bridging design and behavioral research with variance-based structural equation modeling. Journal of advertising, 46(1), 178-192.
Hair Jr, J. F., Babin, B. J., & Krey, N. (2017). Covariance-based structural equation modeling in the Journal of Advertis-ing: Review and recommendations. Journal of Advertising, 46(1), 163-177.
Islam, J. U., & Rahman, Z. (2017). The impact of online brand community characteristics on customer engagement: An application of Stimulus-Organism-Response paradigm. Telematics and Informatics, 34(4), 96-109.
Kumar, V., Rajan, B., Venkatesan, R., & Lecinski, J. (2019). Understanding the role of artificial intelligence in personal-ized engagement marketing. California Management Review, 61(4), 135-155.
Kietzmann, J., Paschen, J., & Treen, E. (2018). Artificial intelligence in advertising: How marketers can leverage artificial intelligence along the consumer journey. Journal of Advertising Research, 58(3), 263-267.
Kim, J., & Lennon, S. J. (2013). Effects of reputation and website quality on online consumers' emotion, perceived risk and purchase intention: Based on the stimulus‐organism‐response model. Journal of Research in Interactive Market-ing.
Kazakeviciute, A., & Banyte, J. (2012). The relationship of consumers ‘perceived hedonic value and behav-ior. Engineering Economics, 23(5), 532-540.
Luo, X., Tong, S., Fang, Z., & Qu, Z. (2019). Frontiers: Machines vs. humans: The impact of artificial intelligence chatbot disclosure on customer purchases. Marketing Science, 38(6), 937-947.
Lee, C. H., & Wu, J. J. (2017). Consumer online flow experience: The relationship between utilitarian and hedonic value, satisfaction and unplanned purchase. Industrial Management & Data Systems, 117(10), 2452-2467.
Meske, C., Wilms, K., & Stieglitz, S. (2019). Enterprise social networks as digital infrastructures-understanding the utili-tarian value of social media at the workplace. Information Systems Management, 36(4), 350-367.
Wu, W. Y., Lee, C. L., Fu, C. S., & Wang, H. C. (2014). How can online store layout design and atmosphere influence consumer shopping intention on a website?. International Journal of Retail & Distribution Management, 42(1), 4-24.
Adwan, A. A. (2020). The impact of social media on consumer awareness towards buying copy brand. International Jour-nal of Electronic Marketing and Retailing, 11(2), 199-215.
Al-Adwan, A. S., Kokash, H., Adwan, A. A., Alhorani, A., & Yaseen, H. (2020). Building customer loyalty in online shop-ping: the role of online trust, online satisfaction and electronic word of mouth. International Journal of Electronic Marketing and Retailing, 11(3), 278-306.
Al Adwan, A., Zamil, A. M., & Areiqat, A. Y. (2021). FACTORS AFFECTING ONLINE SHOPPING BEHAVIOR OF CONSUMERS UNDERSTANDING FACTORS LEADING TO CONSUMERS'LOYALTY. Academy of Strategic Man-agement Journal, 20, 1-8.
Al Adwan, A., Zamil, A. M., & Areiqat, A. Y. (2021). SOCIAL MEDIA'S IMPACT ON BUSINESS & COMMUNITY. Academy of Strategic Management Journal, 20, 1-5.
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(1), 28-37.
Avcilar, M. Y., & Özsoy, T. (2015). Determining the effects of perceived utilitarian and hedonic value on online shopping intentions. International Journal of Marketing Studies, 7, 27-49.
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.
Bundorf, K., Polyakova, M., & Tai-Seale, M. (2019). How do humans interact with algorithms? Experimental evidence from health insurance (No. w25976). National Bureau of Economic Research.
Belanche, D., Casaló, L. V., & Flavián, C. (2019). Artificial Intelligence in FinTech: understanding robo-advisors adoption among customers. Industrial Management & Data Systems.
Chiu, C. M., Wang, E. T., Fang, Y. H., & Huang, H. Y. (2014). Understanding customers' repeat purchase intentions in B2C e‐commerce: the roles of utilitarian value, hedonic value and perceived risk. Information Systems Journal, 24(1), 85-114.
Chang, H. J., Eckman, M., & Yan, R. N. (2011). Application of the Stimulus-Organism-Response model to the retail envi-ronment: the role of hedonic motivation in impulse buying behavior. The International Review of Retail, Distribution and Consumer Research, 21(3), 233-249.
Cheung, M. W. L. (2015). metaSEM: An R package for meta-analysis using structural equation modeling. Frontiers in psychology, 5, 1521.
Davenport, T., Guha, A., Grewal, D., & Bressgott, T. (2020). How artificial intelligence will change the future of market-ing. Journal of the Academy of Marketing Science, 48(1), 24-42.
Gan, C., & Wang, W. (2017). The influence of perceived value on purchase intention in social commerce context. Internet Research.
Gursoy, D., Chi, O. H., Lu, L., & Nunkoo, R. (2019). Consumer’s acceptance of artificially intelligent (AI) device use in service delivery. International Journal of Information Management, 49, 157-169.
Huang, M. H., & Rust, R. T. (2021). A strategic framework for artificial intelligence in marketing. Journal of the Academy of Marketing Science, 49(1), 30-50.
Henseler, J. (2017). Bridging design and behavioral research with variance-based structural equation modeling. Journal of advertising, 46(1), 178-192.
Hair Jr, J. F., Babin, B. J., & Krey, N. (2017). Covariance-based structural equation modeling in the Journal of Advertis-ing: Review and recommendations. Journal of Advertising, 46(1), 163-177.
Islam, J. U., & Rahman, Z. (2017). The impact of online brand community characteristics on customer engagement: An application of Stimulus-Organism-Response paradigm. Telematics and Informatics, 34(4), 96-109.
Kumar, V., Rajan, B., Venkatesan, R., & Lecinski, J. (2019). Understanding the role of artificial intelligence in personal-ized engagement marketing. California Management Review, 61(4), 135-155.
Kietzmann, J., Paschen, J., & Treen, E. (2018). Artificial intelligence in advertising: How marketers can leverage artificial intelligence along the consumer journey. Journal of Advertising Research, 58(3), 263-267.
Kim, J., & Lennon, S. J. (2013). Effects of reputation and website quality on online consumers' emotion, perceived risk and purchase intention: Based on the stimulus‐organism‐response model. Journal of Research in Interactive Market-ing.
Kazakeviciute, A., & Banyte, J. (2012). The relationship of consumers ‘perceived hedonic value and behav-ior. Engineering Economics, 23(5), 532-540.
Luo, X., Tong, S., Fang, Z., & Qu, Z. (2019). Frontiers: Machines vs. humans: The impact of artificial intelligence chatbot disclosure on customer purchases. Marketing Science, 38(6), 937-947.
Lee, C. H., & Wu, J. J. (2017). Consumer online flow experience: The relationship between utilitarian and hedonic value, satisfaction and unplanned purchase. Industrial Management & Data Systems, 117(10), 2452-2467.
Meske, C., Wilms, K., & Stieglitz, S. (2019). Enterprise social networks as digital infrastructures-understanding the utili-tarian value of social media at the workplace. Information Systems Management, 36(4), 350-367.
Wu, W. Y., Lee, C. L., Fu, C. S., & Wang, H. C. (2014). How can online store layout design and atmosphere influence consumer shopping intention on a website?. International Journal of Retail & Distribution Management, 42(1), 4-24.