- Huang, M. H., & Rust, R. T. (2021). A strategic framework for artificial intelligence in marketing. Journal of the Academy of Marketing Science, 49, 1–21.
- Ambati, L. S., Narukonda, K., Bojja, G. R., & Bishop, D. (2020). Factors influencing the adoption of artificial intelligence in organizations–from an employee’s perspective, Conference: MWAIS 2020 Proceedings.
- Ameen, N., Tarhini, A., Reppel, A., & Anand, A. (2021). Customer experiences in the age of artificial intelligence. Computers in Human Behavior, 114, 106548.
- American Marketing Association (2017). What is marketing? https://www. ama.org/the-definition-of-marketing-what-is-marketing/
- Antons, D., & Breidbach, C. F. (2018). Big data, big insights? Advancing service innovation and design with machine learning. Journal of Service Research, 21(1), 17–39.
- Armstrong, G., & Kotler, P. (2015). Marketing Principle. Amookhteh Publication. [In Persian]
- Asgharinajib, M., Feiz, D., Maleki MinBashRazgah, M., zarei, A. (2022). Identifying the discourse framework of solutions to deal with climate change based on artificial intelligence: An Exploratory Investigation of B2B Firms. Commercial Strategies, 18(18), 183-203. [In Persian]
- Avery, J., & Steenburgh, T. (2018). HubSpot and motion AI: Chatbotenabled CRM. Harvard Business School case 518-067, February.
- Banker, S., & Khetani, S. (2019). Algorithm overdependence: How the use of algorithmic recommendation systems can increase risks to consumer well-being. Journal of Public Policy & Marketing, 38(4), 500–515.
- Berry, L. L., Seiders, K., & Grewal, D. (2002). Understanding service convenience. Journal of Marketing, 1-17.
- Campbell, C., Sands, S., Ferraro, C., Tsao, H.-Y., & Mavrommatis, A. (2020). From data to action: How marketers can leverage AI. Business Horizons, 63(2), 227–243.
- Campion, A., Gasco-Hernandez, M., Jankin Mikhaylov, S., & Esteve, M. (2022). Overcoming the challenges of collaboratively adopting artificial intelligence in the public sector. Social Science Computer Review, 40(2), 462-477.
- Catalano, A. (2013). Patterns of graduate students' information seeking behavior: a meta‐synthesis of the literature. Journal of documentation.
- Chatterjee, S., Nguyen, B., Ghosh, S. K., Bhattacharjee, K. K., & Chaudhuri, S. (2020). Adoption of artificial intelligence integrated CRM system: an empirical study of Indian organizations. The Bottom Line.
- Chen, C., Ibekwe-SanJuan, F., & How, J. (2010). The Structure and Dynamics of Cocitation Clusters: A Multiple-Perspective Cocitation analysis. Journal of the American Society for Information Science and Technology, 61(7), 1386–1409 silva.
- Chung, T. S., Rust, R. T., & Wedel, M. (2009). My mobile music: An adaptive personalization system for digital audio players. Marketing Science, 28(1), 52–68.
- Chung, T. S., Wedel, M., & Rust, R. T. (2016). Adaptive personalization using social networks. Journal of the Academy of Marketing Science, 44(1), 66–87.
- Cohen, B. (2019, July 24). How AI Will Impact Distribution – Leveraging the Power of AI #1. Retrieved from https://www.naw.org/how-ai-will-impact-distribution-leveraging-thepower-of-ai-1/.
- Colgate, E., Wannasuphoprasit, W., & Peshkin, M. (1996). Cobots: Robots for collaboration with human operators. In Proceedings of the ASME Dynamic Systems and Control Division, New York, 58, 433-439.
- Costa, P. B., Neto, G. M., & Bertolde, A. I. (2017). Urban mobility indexes: A brief review of the literature. Transportation Research Procedia, 25, 3645–3655.
- Dabbous, A., Barakat, K. A., & Sayegh, M. M. (2021). Enabling organizational use of artificial intelligence: an employee perspective. Journal of Asia Business Studies, 16 (2), 245-266.
- Daqar, M. A. A., & Smoudy, A. K. (2019). The role of artificial intelligence on enhancing customer experience. International Review of Management and Marketing, 9(4), 22.
- 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(2), 24–42.
- Dekimpe, M. (2020). Retailing and retailing research in the age of big data analytics. International Journal of Research in Marketing, 37, 3–14.
- Dorfer, S. (2018, May 31). Shoppable Content: AI App Browzzin. Retrieved from https://www.stylus.com/kppfqb
- Dzyabura, D., & Hauser, J. R. (2011). Active machine learning for consideration heuristics. Marketing Science, 30(5), 757–944.
- Elsayed Fayed, A. (2021). Artificial Intelligence for marketing plan: the case for e-marketing companies. 684080133.
- Fahimnia, B., Sarkis, J., & Davarzani, H. (2015). Green supply chain management: A review and bibliometric analysis. International Journal of Production Economics, 162, 101–114.
- Fei, W., Zhang, Z., & Deng, Q. (2021, October). Universal Pictures’ SWOT Analysis and 4Ps & 4Cs Marketing Strategies in the Post-COVID-19 Era. In 2021 International Conference on Public Relations and Social Sciences (ICPRSS 2021) (pp. 494-500). Atlantis Press.
- Fountaine, T., McCarthy, B., & Saleh, T. (2019). Building the AI-powered organization. Harvard Business Review, July–August, 63–73.
- Ghasemnia Arabi, N., & Safaie Ghadikolaie, A. (2019). Comparison Of The Performances Of Classical Models And Artificial Intelligence In Predicting Bank Customers' Credit Status. Journal of Business Administration, 10(20), 51-69. [In Persian]
- Ghobakhloo, M., & Ching, N. T. (2019). Adoption of digital technologies of smart manufacturing in SMEs. Journal of Industrial Information Integration, 16, 100107.
- Ghosh, S., Chatterjee, S., Chaudhuri, R., & Nguyen, B. (2019). Are CRM systems ready for AI integration?. The Bottom Line, 32(2), 144-157.
- Gopinath, D. (2019). Human + machine: How content analytics delivers unsurpassed value to advertisers. MSI Lunch Lecture, (Sept 25).
- Grewal, D., Hulland, J., Kopalle, P. K., & Karahanna, E. (2020). The future of echnology and marketing: A multidisciplinary perspective. Journal of the Academy of Marketing Science, 48(1),1–8.
- Guo, J., Zhang, W., Fan, W., & Li, W. (2018). Combining geographical and social influences with deep learning for personalized point-of interest recommendation. Journal of Management Information Systems, 35(4), 1121–1153.
- Hartmann, J., Huppertz, J., Schamp, C. P., & Heitmann, M. (2019). Comparing automated text classification methods. International Journal of Research in Marketing, 36(1), 20–38.
- Hilken, T., de Ruyter, K., Chylinski, M., Mahr, D., & Keeling, D. I. (2017). Augmenting the eye of the beholder: exploring the strategic potential of augmented reality to enhance online service experiences. Journal of the Academy of Marketing Science, 45(6), 884-905.
- Hoffman, D. L., & Novak, T. P. (2018). Consumer and object experience in the internet of things: An assemblage theory approach. Journal of Consumer Research, 44(6), 1178–1204.
- Hoon, C. (2013). Meta-synthesis of qualitative case studies: An approach to theory building. Organizational Research Methods, 16(4), 522-556.
- Hoyer, W. D., Kroschke, M., Schmitt, B., Kraume, K., & Shankar, V. (2020). Transforming the customer experience through new technologies. Journal of Interactive Marketing, 51, 57–71.
- Huang, M. H., & Rust, R. T. (2018). Artificial intelligence in service. Journal of Service Research, 21(2), 155–172.
- Huang, M. H., Rust, R. T., & Maksimovic, V. (2019). The feeling economy: Managing in the next generation of artificial intelligence (AI). California Management Review, 61(4), 43–65.
- Iwuanyanwu, C. C. (2021). Determinants and Impact of Artificial Intelligence on Organizational Competitiveness: A Study of Listed American Companies. Journal of Service Science and Management, 14(5), 502-529.
- Jarek, K., & Mazurek, G. (2019). Marketing and artificial intelligence. Central European Business Review, 8(2), 46.
- Jesus, A. d. (2019, February 16). AI for Pricing – Comparing 5 Current Applications. Retrieved from https://emerj.com/ai-sector-overviews/ai-for-pricing-comparing-5- current-applications/
- Jöhnk, J., Ollig, P., Oesterle, S., & Riedel, L. N. (2020). The Complexity of Digital Transformation-Conceptualizing Multiple Concurrent Initiatives. In Wirtschaftsinformatik (Zentrale Tracks) (pp. 1051-1066).
- Kaput, M. (2016). The Marketer's Guide to Artificial Intelligence Terminology. Retrieved from https://www.marketingaiinstitute.com/blog/the-marketers-guide-to-artificialintelligence-terminology.
- Kaput, M. (2016). The Marketer's Guide to Artificial Intelligence Terminology. Retrieved from https://www.marketingaiinstitute.com/blog/the-marketers-guide-to-artificialintelligence-terminology.
- Keiningham, Timothy, Joan Ball, Sabine Benoit, Helen L. Bruce, Alexander Buoye, Julija Dzenkovska, Linda Nasr, Yi-Chun Ou, and Mohamed Zaki (2017). "The interplay of customer experience and commitment." Journal of Services Marketing 31 (2), 148-160.
- Kopalle, P. K., Gangwar, M., Kaplan, A., Ramachandran, D., Reinartz, W., & Rindfleisch, A. (2022). Examining artificial intelligence (AI) technologies in marketing via a global lens: Current trends and future research opportunities. International Journal of Research in Marketing, 39(2), 522-540.
- Kumar, V., Rajan, B., Venkatesan, R., & Lecinski, J. (2019). Understanding the role of artificial intelligence in personalized engagement marketing. California Management Review, 61(4), 135–155.
- Kushwaha, A. K., Kumar, P., & Kar, A. K. (2021). What impacts customer experience for B2B enterprises on using AI-enabled chatbots? Insights from Big data analytics. Industrial Marketing Management, 98, 207-221.
- Ladhari, R., Souiden, N., & Dufour, B. (2017). The role of emotions in utilitarian service settings: The effects of emotional satisfaction on product perception and behavioral intentions. Journal of Retailing and Consumer Services, 34, 10-18.
- Lauterborn, B. (1990). New marketing litany; Four Ps Passé; C-words take over. Advertising Age, 61(41), 26.
- Lee, D., Hosanagar, K., & Nair, H. S. (2018). Advertising content and consumer engagement on social media: Evidence from Facebook. Management Science, 64(11), 5105–5131.
- Libai, B., Bart, Y., Gensler, S., Hofacker, C. F., Kaplan, A., Kötterheinrich, K., & Kroll, E. B. (2020). Brave new world? On AI and the management of customer relationships. Journal of Interactive Marketing, 51(1), 44-56.
- Liebman, E., Saar-Tsechansky, M., & Stone, P. (2019). The right music at the right time: Adaptive personalized playlists based on sequence modeling. MIS Quarterly, 43(3), 765–786.
- Liu, X., Singh, P. V., & Srinivasan, K. (2016). A structured analysis of unstructured big data by leveraging cloud computing. Marketing Science, 35(3), 363–388.
- Mabad, T., Ali, O., Ally, M., Wamba, S. F., & Chan, K. C. (2021). Making investment decisions on RFID technology: an evaluation of key adoption factors in construction firms. IEEE Access, 9, 36937-36954.
- Mariani, M. M., Perez‐Vega, R., & Wirtz, J. (2022). AI in marketing, consumer research and psychology: a systematic literature review and research agenda. Psychology & Marketing, 39(4), 755-776.
- McDuff, D., & Czerwinski, M. (2018). Designing emotionally sentient agents. Communications of the ACM, 61(12), 74–83.
- Mende, M., Scott, M. L., van Doorn, J., Grewal, D., & Shanks, I. (2019). Service robots rising: How humanoid robots influence service experiences and elicit compensatory consumer responses. Journal of Marketing Research, 56(4), 535–556.
- Mikalef, P., Conboy, K., & Krogstie, J. (2021). Artificial intelligence as an enabler of B2B marketing: A dynamic capabilities micro-foundations approach. Industrial Marketing Management, 98, 80-92.
- Misra, K., Schwartz, E. M., & Abernethy, J. (2019). Dynamic online pricing with incomplete information using multiarmed bandit experiments. Marketing Science, 38(2), 226–252.
- Mogaji, E., & Nguyen, N. P. (2021). Managers' understanding of artificial intelligence in relation to marketing financial services: insights from a cross-country study. International Journal of Bank Marketing.
- Mohammed, M. A., Moles, R. J., & Chen, T. F. (2016). Meta-synthesis of qualitative research: the challenges and opportunities. International journal of clinical pharmacy, 38(3), 695-704.
- Nair, K., & Gupta, R. (2021). Application of AI technology in modern digital marketing environment. World Journal of Entrepreneurship, Management and Sustainable Development, 17(3), 318-328.
- Nanayakkara, N. W. O. K. D. S. P. (2020, November). Application of Artificial Intelligence in Marketing Mix: A Conceptual Review. In Proceedings of the International Conference on Business & Information (ICBI).
- Niazi, N., Rashid, M., & Shamugia, Z. (2021). Role of Marketing Mix (4Ps) in Building Brand Equity: Case Study of Shell Petrol, UK. International Journal of Applied Business and Management Studies, 6(1), 2021.
- Olawumi, T. O. & Chan, D. W. M. (2019). Critical success factors for implementing building information modeling and sustainability practices in construction projects: A Delphi survey, Sustainable Development, Jan. 2019, DOI: 10.1002/sd.1925.
- Omisakin, O. M., Bandara, C., & Kularatne, I. (2020). Designing a Customer Feedback Service Channel Through AI to Improve Customer Satisfaction in the Supermarket Industry. Journal of Information & Knowledge Management, 19(03), 2050015.
- Pan, M., & Pan, W. (2020). Understanding the determinants of construction robot adoption: Perspective of building contractors. Journal of Construction Engineering and Management, 146(5), 04020040.
- Paschen, J., Kietzmann, J., & Kietzmann, T. C. (2019). Artificial intelligence (AI) and its implications for market knowledge in B2B marketing. Journal of Business & Industrial Marketing.
- Power, B. (2017). How Harley-Davidson used artificial intelligence to increase New York sales leads by 2,930%. Harvard Business Review digital article, (may 30), https://hbr.org/2017/05/howharley-davidson-used-predictive-analytics-to-increase-new-yorksales-leads-by-2930.
- Puntoni, S., Walker Reczek, R., Giesler, M., & Botti, S. (2021). Consumers and artificial intelligence: An experiential perspective. Journal of Marketing, 85(1), 131–151.
- Rajaobelina, L. (2018). The impact of customer experience on relationship quality with travel agencies in a multichannel environment. Journal of Travel Research, 57(2), 206-217.
- Ramos-Rodríguez, A. N. & Ruiz-Navarro, J. (2004). Changes in The Intellectual Structure of Strategic Management Research, Strategic Management Journal 25(10):981-1004
- Rasty, A., Abbaspour, R. (2022). The impact of AI on the improvement of modern banking. National conference of management and electronic business. [In Persian]
- Ring, N., Jepson, R., & Ritchie, K. (2011). Methods of synthesizing qualitative research studies for health technology assessment. International journal of technology assessment in health care, 27(4), 384-390.
- Rosário, A. (2021). The Background of Artificial Intelligence Applied to Marketing. Academy of strategic management journal, 20, 1-19.
- Rust, R. T. (2020). The future of marketing. International Journal of Research in Marketing, 37(1), 15–26.
- Sandelowski M, Barroso J. (2007). Handbook for synthesizing qualitative research. New York: Springer.
- Saura, J. R. (2021). Using data sciences in digital marketing: framework, methods, and performance metrics. Journal of Innovation and Knowledge, 6(2), 92–102. https://doi. org/10.1016/j.jik.2020.08.001. April-June 2021.
- Seranmadevi, R., & Kumar, A. (2019). Experiencing the AI emergence in Indian retail–Early adopters approach. Management Science Letters, 9(1), 33–42.
- Shankar, V. (2018). How artificial intelligence (AI) is reshaping retailing. Journal of retailing, 94(4), vi-xi.
- Sidaoui, K., Jaakkola, M., & Burton, J. (2020). AI feel you: customer experience assessment via chatbot interviews. Journal of Service Management.
- Silva, M. (2015). A systematic review of Foresight in Project Management literature. Procedia Computer Science, 64, 792-799.
- Singh, J., Nambisan, S., Bridge, R. G., & Brock, J. (2020). One-voice strategy for customer engagement. Journal of Service Research, 1– 24.
- Soleiman Mafi, A., khodadad Hosseini, H., Kordnaij, A., Hajipour, .B. (2022).Conceptualization of the corporate strategy assessment model with Meta-Synthesis approach, Commercial Strategies, 18(18), 1-24. [In Persian]
- Sutton, D. (2018). How AI helped one retailer reach new customers. Harvard Business Review, (may 28), https://hbr.org/2018/05/how-ai-helped-one-retailer-reach-new-customers.
- Taddeo, M., & Floridi, L. (2018). How AI can be a force for good. Science, 361(6404), 751-752.
- Tangpattanakit, J., & Sammasut, T. (2022). Factors on Marketing Mix from the Point of View of Consumers (4c’s) that Affect the Decision to Order Food by Delivery Application during Covid-19 of the Generation X Consumers in Chonburi. UBRU International Journal, 2(1), 1-14.
- Tjebane, M. M., Musonda, I., & Okoro, C. (2022). Organisational Factors of Artificial Intelligence Adoption in the South African Construction Industry. Front. Built Environ, 8, 823998.
- Turner, C. J., Oyekan, J., Stergioulas, L., & Griffin, D. (2020). Utilizing industry 4.0 on the construction site: Challenges and opportunities. IEEE Transactions on Industrial Informatics, 17(2), 746-756.
- Varki, S., Cooil, B., & Rust, R. T. (2000). Modeling fuzzy data in qualitative marketing research. Journal of Marketing Research, 37(4), 480-489.
- Wang, H. (2022, March). Understanding the Marketing Strategies: 4 Ps Marketing Mix or Other Strategies used by Tencent Games in the Video Game Market. In 2022 7th International Conference on Financial Innovation and Economic Development (ICFIED 2022) (pp. 99-104). Atlantis Press.
- Wirth, N. (2018). Hello marketing, what can artificial intelligence help you with?. International Journal of Market Research, 60(5), 435-438.
- Yong-Hak, J. (2013). Web of science. Thomson Reuters.
- Yoo, B., Donthu, N., & Lee, S. (2000). An examination of selected marketing mix elements and brand equity. Journal of the academy of marketing science, 28(2), 195-211.
- Yousra, M., & Khalid, C. (2021). Analysis of the variables of intention of the adoption and acceptance of artificial intelligence and big data tools among leaders of organizations in Morroco: Attempt of a theoretical study. European Scientific Journal, ESJ, 17(29), 106.
- Yun, J. H., Lee, E.-J., & Kim, D. H. (2021). Behavioral and neural evidence on consumer responses to human doctors and medical artiicial intelligence. Psychology & Marketing, 38(4), 610–625.
|