References
- Amazon Web Services. 2023. https://aws.amazon.com/free/machine-learning/?trk=7b8e3dca-c920-4788-af8a-416e565c0118&sc_channel=ps&ef_id=CjwKCAjwt52mBhB5EiwA05YKo1SsRYMiCJ_vqEHgD5_n08cD-tcFIqCGGkcBncLf-RpeleazTOwU_hoCUVUQAvD_BwE:G:s&s_kwcid=AL!4422!3!463369380452!e!!g!!aws%20artificial%20intelligence!11086666985!111455469809#Learn_more_about_Machine_Learning_with_AWS
- Bagozzi, R. P. 2010. Consumer agency and action. In The SAGE handbook of marketing theory, 316–31. York University, UK: Sage Publication.
- Bremmer, I., and M. Suleyman. 2023. The AI power paradox. Foreign Affairs, August 16. https://www.foreignaffairs.com/world/artificial-intelligence-power-paradox
- Coffino, J. A., T. Udo, and J. M. Hormes. 2020. Nudging while online grocery shopping: A randomized feasibility trial to enhance nutrition in individuals with food insecurity. Appetite 152:104714. doi:10.1016/j.appet.2020.104714.
- Dhelim, S., N. Aung, M. A. Bouras, H. Ning, and E. Cambria. 2022. A survey on personality-aware recommendation systems. Artificial Intelligence Review 55 (3):2409–54. doi:10.1007/s10462-021-10063-7.
- Dominici, A., F. Boncinelli, F. Gerini, and E. Marone. 2021. Determinants of online food purchasing: The impact of socio-demographic and situational factors. Journal of Retailing and Consumer Services 60:102473. doi:10.1016/j.jretconser.2021.102473.
- Dogru, A. K., and B. B. Keskin. 2020. AI in operations management: Applications, challenges, and opportunities. Journal of Data, Information and Management 2 (2):67–74. doi:10.1007/s42488-020-00023-1.
- Douglas, L. 2023. ‘A new era’: US regulator allows first sales of lab-grown meat. Reuters Retail and Consumer. https://www.reuters.com/business/retail-consumer/upside-foods-good-meat-receive-final-usda-approval-sell-cultivated-meat-2023-06-21/
- Gkikas, D. C., and P. K. Theodoridis. 2022. AI in Consumer Behavior. Advances in Artificial Intelligence-Based Technologies: Selected Papers in Honor of Professor Nikolaos G. Bourbakis 1:147–76.
- Grocery Shopii. 2023. https://www.groceryshopii.com/
- GS1. 2023. GS1 Standards. The Global Language of Business. https://www.gs1.org/standards
- Honaman, J. 2023. Amazon Web Services presentation on Video Forum at Chain Drug News https://www.youtube.com/watch?v=d7XbRxh9bAQ
- Huang, M. H., and R. T. Rust. 2021. A strategic framework for artificial intelligence in marketing. Journal of the Academy of Marketing Science 49 (1):30–50. doi:10.1007/s11747-020-00749-9.
- Jesse, M., and D. Jannach. 2021. Digital nudging with recommender systems: Survey and future directions. Computers in Human Behavior Reports 3:100052. doi:10.1016/j.chbr.2020.100052.
- Joint Research Centre. 2020. AI Watch: Defining artificial intelligence. Luxembourg: Office of the European Union. doi:10.2760/382730.
- Kalnikaitė, V., J. Bird, and Y. Rogers. 2013. Decision-making in the aisles: Informing, overwhelming, or nudging supermarket shoppers? Personal and Ubiquitous Computing 17 (6):1247–59. doi:10.1007/s00779-012-0589-z.
- Kietzmann, J., J. Paschen, and E. Treen. 2018. Artificial intelligence in advertising: How marketers can leverage artificial intelligence along the consumer journey. Journal of Advertising Research 58 (3):263–7. doi:10.2501/JAR-2018-035.
- Kliestik, T., K. Zvarikova, and G. Lăzăroiu. 2022. Data-driven machine learning and neural network algorithms in the retailing environment: Consumer engagement, experience, and purchase behaviors. Economics, Management, and Financial Markets 17 (1):57–69.
- Kok, J. N., E. J. Boers, W. A. Kosters, P. Van der Putten, and M. Poel. 2009. Artificial intelligence: Definition, trends, techniques, and cases. Artificial Intelligence 1:270–99.
- Kvalsvik, F. 2022. Understanding the role of situational factors on online grocery shopping among older adults. Journal of Retailing and Consumer Services 68:103009. doi:10.1016/j.jretconser.2022.103009.
- Lei, Z., A. U. Haq, A. Zeb, M. Suzauddola, and D. Zhang. 2021. Is the suggested food you desire? Multi-modal recipe recommendation with demand-based knowledge graph. Expert Systems with Applications 186:115708. doi:10.1016/j.eswa.2021.115708.
- Lemon, K. N., and P. C. Verhoef. 2016. Understanding customer experience throughout the customer journey. Journal of Marketing 80 (6):69–96. doi:10.1509/jm.15.0420.
- Makridakis, S. 2017. The forthcoming Artificial Intelligence (AI) revolution: Its impact on society and firms. Futures 90:46–60. doi:10.1016/j.futures.2017.03.006.
- Mariani, M. M., R. Perez‐Vega, and J. Wirtz. 2022. AI in marketing, consumer research, and psychology: A systematic literature review and research agenda. Psychology & Marketing 39 (4):755–76. doi:10.1002/mar.21619.
- McKinsey and Company. 2023. What is generative AI? https://www.mckinsey.com/featured-insights/mckinsey-explainers/what-is-generative-ai
- Mills, S., H. Brown, W. Wrieden, M. White, and J. Adams. 2017. Frequency of eating at home cooked meals and potential benefits for diet and health: A cross-sectional analysis of a population-based cohort study. International Journal of Behavioral Nutrition and Physical Activity 14 (1):1–11. doi:10.1186/s12966-017-0567-y.
- Palmatier, R., and L. Steinhoff. 2019. Relationship marketing in the digital age. Columbia, SC: KDP Amazon.
- Paul, L., and T. R. Ramanan. 2019. An RFM and CLV analysis for customer retention and customer relationship management of a logistics firm. International Journal of Applied Management Science 11 (4):333–51. doi:10.1504/IJAMS.2019.103713.
- Pew Research Center. 2021. Two decades later, the enduring legacy of 9/11. Numbers, Facts, and Trends Shaping Your World. https://www.pewresearch.org/politics/2021/09/02/two-decades-later-the-enduring-legacy-of-9-11/
- Pereira, M. M., and E. M. Frazzon. 2021. A data-driven approach to adaptive synchronization of demand and supply in omni-channel retail supply chains. International Journal of Information Management 57:102165. doi:10.1016/j.ijinfomgt.2020.102165.
- Rostami, M., V. Farrahi, S. Ahmadian, S. M. J. Jalali, and M. Oussalah. 2023. A novel healthy and time-aware food recommender system using attributed community detection. Expert Systems with Applications 221:119719. doi:10.1016/j.eswa.2023.119719.
- Shankar, V. 2018. How artificial intelligence (AI) is reshaping retailing. Journal of Retailing 94 (4):vi–xi. doi:10.1016/S0022-4359(18)30076-9.
- Sifter. 2023. https://sifter.shop/content/diets-and-attributes/top-diets
- Siega-Riz, A. M., D. Sotres-Alvarez, G. X. Ayala, M. Ginsberg, J. H. Himes, K. Liu, C. M. Loria, Y. Mossavar-Rahmani, C. L. Rock, B. Rodriguez, et al. 2014. Food-group and nutrient-density intakes by Hispanic and Latino backgrounds in the Hispanic Community Health Study/Study of Latinos. The American Journal of Clinical Nutrition 99 (6):1487–98. doi:10.3945/ajcn.113.082685.
- Shukla, P., and B. J. Babin. 2013. Effects of Consumer Psychographics and store characteristics in influencing shopping value and store switching. Journal of Consumer Behaviour 12 (3):194–203. doi:10.1002/cb.1411.
- Sun, Y., H. Liu, and Y. Gao. 2023. Research on customer lifetime value based on machine learning algorithms and customer relationship management analysis model. Heliyon 139 (2):e13384. doi:10.1016/j.heliyon.2023.e13384.
- Thacker, R. 2023. Unlocking the power of regenerative AI: Revolutionizing business process management. SAP. https://blogs.sap.com/2023/05/24/unlocking-the-power-of-regenerative-ai-revolutionizing-business-process-management/#:∼:text=Understanding%20Regenerative%20AI%3A&text=It%20goes%20beyond%20traditional%20AI,them%20highly%20resilient%20and%20responsive
- Thurrott, S. 2022. The top 10 healthy food trends to expect in 2023. Diet and Nutrition. https://www.everydayhealth.com/pictures/top-healthy-food-trends/
- Trang Tran, T. N., M. Atas, A. Felfernig, and M. Stettinger. 2018. An overview of recommender systems in the healthy food domain. Journal of Intelligent Information Systems 50 (3):501–26. doi:10.1007/s10844-017-0469-0.
- Vermeulen, S. J., T. Park, C. K. Khoury, and C. Béné. 2020. Changing diets and the transformation of the global food system. Annals of the New York Academy of Sciences 1478 (1):3–17. doi:10.1111/nyas.14446.
- Westbrook, R. A., and W. C. Black. 2002. A motivation-based shopper typology. Retailing: Critical Concepts. The Environments for Retailing 2:82.
- Zhang, Q., J. Lu, and Y. Jin. 2021. Artificial intelligence in recommender systems. Complex & Intelligent Systems 7 (1):439–57. doi:10.1007/s40747-020-00212-w.
- Zondag, M. M., and B. Ferrin. 2014. Finding the true voice of the customer in CPG supply chains: Shopper‐centric supply chain management. Journal of Business Logistics 35 (3):268–74. doi:10.1111/jbl.12055.
- Zong, J. 2022. A Mosaic, Not a Monolith: A Profile of the US Latino Population, 2000-2020. Latino Policy & Politics Institute.
- Zwanka, R. J. 2020. Food Forethought: 48 healthy food tips for navigating the grocery store. KDP Createspace, Monee, IL, pp. 10.
- Zwanka, R. J., and C. Buff. 2021. COVID-19 generation: A conceptual framework of the consumer behavioral shifts to be caused by the COVID-19 pandemic. Journal of International Consumer Marketing 33 (1):58–67. doi:10.1080/08961530.2020.1771646.
- Zwanka, R. J., and B. F. Harris. 2016. Category Management Principles. Columbia, SC: KDP Amazon.