ناصرالمعمار، بهروز و نصیری، میثم و هاشمی، آتوسا. (1402). اجرای هوش مصنوعی در فعالیت های بازاریابی B۲B، هفدهمین کنفرانس بین المللی مدیریت، اقتصاد و توسعه، https://civilica.com/doc/1687300
Akter, S., Wamba, S. F., Mariani, M., & Hani, U. (2021). How to build an AI climate-driven service analytics capability for innovation and performance in industrial markets?. Industrial Marketing Management, 97, 258-273.
Ameen, N., Pagani, M., Pantano, E., Cheah, J. H., Tarba, S., & Xia, S. (2025). The rise of human–machine collaboration: managers’ perceptions of leveraging artificial intelligence for enhanced B2B service recovery. British Journal of Management, 36(1), 91-109.
Bag, S., Gupta, S., Kumar, A., & Sivarajah, U. (2021). An integrated artificial intelligence framework for knowledge creation and B2B marketing rational decision making for improving firm performance. Industrial Marketing Management, 92, 178–189.
Behera, R. K., Bala, P. K., Rana, N. P., & Kizgin, H. (2022). Cognitive computing based ethical principles for improving organisational reputation: A B2B digital marketing perspective. Journal of business research, 141, 685-701.
Bianchi, L., & Johnson, M. (2023). The Role of Chatbots and Conversational AI in Enhancing B2B Customer Engagement. Journal of Business Research, 165, 210–221.
Bohanec, M., Borštnar, M. K., & Robnik-Šikonja, M. (2016). Integration of machine learning insights into organizational learning: A case of B2B sales forecasting. In Blurring the boundaries through digital innovation: Individual, organizational, and societal challenges (pp. 71-85). Cham: Springer International Publishing.
Castelo-Branco, I., Cruz-Jesus, F., & Oliveira, T. (2019). Assessing industry 4.0 readiness in manufacturing: evidence for the European Union. Computers in Industry, 107, 22–32.
Chaudhary, K., Alam, M., Al-Rakhami, M. S., & Gumaei, A. (2021). Machine learning-based mathematical modelling for prediction of social media consumer behavior using big data analytics. Journal of Big data, 8(1), 73.
Chen, J., Zhou, W., & Frankwick, G. L. (2025). Firm AI adoption intensity and marketing performance. Journal of Computer Information Systems, 65(2), 172-189.
Cheng, Y., & Jiang, H. (2022). Customer–brand relationship in the era of artificial intelligence: understanding the role of chatbot marketing efforts. Journal of Product & Brand Management, 31(2), 252-264.
Duan, Y., Edwards, J. S., & Dwivedi, Y. K. (2019). Artificial intelligence for decision making in the era of Big Data–evolution, challenges and research agenda. International Journal of Information Management, 48, 63–71.
Dullaghan, C., & Rozaki, E. (2017). Integration of machine learning techniques to evaluate dynamic customer segmentation analysis for mobile customers. arXiv preprint arXiv,17(2), 22-34.
Dwivedi, Y. K., & Wang, Y. (2022). Guest editorial: Artificial intelligence for B2B marketing: Challenges and opportunities. Industrial Marketing Management, 105, 109-113.
Dwivedi, Y. K., Ismagilova, E., Hughes, D. L., Carlson, J., Filieri, R., Jacobson, J., & Wang, Y. (2021). Setting the future of digital and social media marketing research: Perspectives and research propositions. International Journal of Information Management, 59, 102168.
Dwivedi, Y. K., Ismagilova, E., Rana, N. P., & Raman, R. (2023). Social media adoption, usage and impact in business-to-business (B2B) context: A state-of-the-art literature review. Information Systems Frontiers, 45, 1–23.
Enholm, I. M., Papagiannidis, E., Mikalef, P., & Krogstie, J. (2022). Artificial intelligence and business value: A literature review. Information Systems Frontiers, 24(5), 1709-1734.
Fraccastoro, S., Gabrielsson, M., & Pullins, E. B. (2021). The integrated use of social media, digital, and traditional communication tools in the B2B sales process of international SMEs. International business review, 30(4), 101776.
Garcia, M., & Lee, T. (2023). AI in B2B Marketing: Enhancing Customer Personalization through Predictive Analytics . Journal of Business-to-Business Marketing, 30(2), 123–140. https://doi.org/ 10.1080/1051712X.2023.2168923
Gil de Zúñiga, H., Goyanes, M., & Durotoye, T. (2024). A scholarly definition of artificial intelligence (AI): advancing AI as a conceptual framework in communication research. Political communication, 41(2), 317-334.
Gordini, N., & Veglio, V. (2017). Customers churn prediction and marketing retention strategies. An application of support vector machines based on the AUC parameter selection technique in B2B e-commerce industry. Industrial Marketing Management, 62, 100–107. https://doi.org/10.1016/ j.indmarman.2016.08.003.
Grewal, D., Guha, A., Satornino, C. B., & Schweiger, E. B. (2021). Artificial intelligence: The light and the darkness. Journal of Business Research, 136, 229-236.
Guerrero-Velástegui, CA., Infante-Paredes, R., Mejía-Vayas, C., & Silva-Arcos, P. (2023). Bibliometric Analysis Based on Scientific Mapping in the Use of Digital Marketing Strategies. In: Valencia-García, R., Bucaram-Leverone, M., Del Cioppo-Morstadt, J., Vera-Lucio, N., Centanaro-Quiroz, P.H. (eds) Technologies and Innovation. CITI 2023. Communications in Computer and Information Science, 1873. Springer, Cham. https://doi.org/10.1007/978-3-031-45682-4_18
Guha, A., Grewal, D., Kopalle, P. K., Haenlein, M., Schneider, M. J., Jung, H., & Hawkins, G. (2021). How artificial intelligence will affect the future of retailing. Journal of Retailing, 97(1), 28–41
Hartmann, J., Exner, Y., & Domdey, S. (2025). The power of generative marketing: Can generative AI create superhuman visual marketing content?. International Journal of Research in Marketing, 42(1), 13-31.
Herhausen, D., Miočević, D., Morgan, R. E., & Kleijnen, M. H. (2020). The digital marketing capabilities gap. Industrial Marketing Management, 90, 276-290.
Hien, N. N., & Nhu, T. N. H. (2022). The effect of digital marketing transformation trends on consumers’ purchase intention in B2B businesses: The moderating role of brand awareness. Cogent Business & Management, 9(1).https://doi.org/ 10.1080/23311975.2 022.2105285
Huang, M. H., & Rust, R. T. (2021). A strategic framework for artificial intelligence in marketing. Journal of the academy of marketing science, 49, 30-50.
Jabbar, A., Akhtar, P., & Dani, S. (2020). Real-time big data processing for instantaneous marketing decisions: A problematization approach. Industrial Marketing Management, 90, 558-569.
Kamkankaew, P., Thanitbenjasith, P., Sribenjachot, S., Phattarowas, V., Thanin, P., & Khumwongpin, S. (2025). The Future of Digital Marketing: What Lies Ahead?. International Journal of Sociologies and Anthropologies Science Reviews, 5(2), 1-28.
Keegan, B. J., Dennehy, D., & Naudé, P. (2024). Implementing artificial intelligence in traditional B2B marketing practices: an activity theory perspective. Information systems frontiers, 26(3), 1025-1039.
Kitchens, B., Dobolyi, D., Li, J., & Abbasi, A. (2018). Advanced customer analytics: Strategic value through integration of relationship-oriented big data. Journal of Management Information Systems, 35(2), 540-574.
Kleinaltenkamp, M. (2018). Peter LaPlaca–the best marketer of industrial and B2B marketing research, Industrial Marketing Management, 69, 125-126.
Krings, W., Palmer, R., & Inversini, A. (2021). Industrial marketing management digital media optimization for B2B marketing. Industrial Marketing Management, 93, 174-186.
Kumar, V., Ashraf, A. R., & Nadeem, W. (2024). AI-powered marketing: What, where, and how?. International Journal of Information Management, 77, 102783.
Kumar, V., Ramachandran, D., & Kumar, B. (2021). Influence of new-age technologies on marketing: A research agenda. Journal of Business Research, 125, 864-877.
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.
Labib, E. (2024). Artificial intelligence in marketing: exploring current and future trends. Cogent Business & Management, 11(1), 2348728.
Lacka, E., & Chong, A. (2016). Usability perspective on social media sites’ adoption in the B2B context, Industrial Marketing Management,54, 80-91.
Laila, N., Sucia Sukmaningrum, P., Saini Wan Ngah, W. A., Nur Rosyidi, L., & Rahmawati, I. (2024). An in-depth analysis of digital marketing trends and prospects in small and medium-sized enterprises: utilizing bibliometric mapping. Cogent Business & Management, 11(1). https://doi.org/10.1080/ 23311975.2024.2336565
Leone, D., Schiavone, F., Appio, F. P., & Chiao, B. (2021). How does artificial intelligence enable and enhance value co-creation in industrial markets? An exploratory case study in the healthcare ecosystem. Journal of Business Research, 129, 849-859.
Li, S., Peng, G., Xing, F., Zhang, J., & Zhang, B. (2021). Value co-creation in industrial AI: The interactive role of B2B supplier, customer and technology provider. Industrial Marketing Management, 98, 105-114.
Liu, X. (2020). Analyzing the impact of user-generated content on B2B Firms' stock performance: Big data analysis with machine learning methods. Industrial marketing management, 86, 30-39.
Martínez, A., Schmuck, C., Pereverzyev Jr, S., Pirker, C., & Haltmeier, M. (2020). A machine learning framework for customer purchase prediction in the non-contractual setting. European Journal of Operational Research, 281(3), 588-596.
Martínez-López, F. J., & Casillas, J. (2013). Artificial intelligence-based systems applied in industrial marketing: An historical overview, current and future insights. Industrial Marketing Management, 42(4), 489-495.
Marzdar, M. H. (2025). Leveraging Artificial Intelligence for B2B Marketing in China's Telecommunications Sector: Challenges, Opportunities, and Pathways to Success. International Journal of applied Research in Management, Economics and Accounting, 2(2), 36-46.
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.
Mikalef, P., Islam, N., Parida, V., Singh, H., & Altwaijry, N. (2023). Artificial intelligence (AI) competencies for organizational performance: A B2B marketing capabilities perspective. Journal of Business Research, 164, 113998.
Mishra, N., & Mukherjee, S. (2019). Effect of artificial intelligence on customer relationship management of amazon in Bangalore. International Journal of Management, 10(4), 244-258.
Moradi, M., & Dass, M. (2022). Applications of artificial intelligence in B2B marketing: Challenges and future directions. Industrial Marketing Management, 107, 300-314.
Mortensen, S., Christison, M., Li, B., Zhu, A., & Venkatesan, R. (2019). Predicting and defining B2B sales success with machine learning. In 2019 Systems and Information Engineering Design Symposium, 1-5.
Müller, A., & Kim, D. (2023). Artificial Intelligence and Decision-Making in B2B Digital Marketing Strategies. Industrial Marketing Management, 110, 78–91. https://doi.org/ 10.1016/j.indmarman.2023.05.007
Mustak, M., Salminen, J., Plé, L., & Wirtz, J. (2021). Artificial intelligence in marketing: Topic modeling, scientometric analysis, and research agenda. Journal of Business Research, 124, 389-404.
Nalbant, K.G., & Aydin, S. (2025). A bibliometric approach to the evolution of artificial intelligence in digital marketing, International Marketing Review, 23(1), 258-275. https://doi.org/10.1108/IMR-04-2024-0132
Nauck, D. D., Ruta, D., Spott, M., & Azvine, B. (2006). A tool for intelligent customer analytics. In 2006 3rd International IEEE Conference Intelligent Systems,518-521.
Ngai, E. W., Xiu, L., & Chau, D. C. (2009). Application of data mining techniques in customer relationship management: A literature review and classification. Expert systems with applications, 36(2), 2592-2602.
Noori, B. (2021). Classification of customer reviews using machine learning algorithms. Applied Artificial Intelligence, 35(8), 567-588.
Olan, F., Papadopoulos, T., Spanaki, K., & Jayawickrama, U. (2025). Social entrepreneurial marketing and innovation in B2B services: building resilience with explainable artificial intelligence. Information Systems Frontiers, 23,1-14.
Pandey, N., Nayal, P., & Rathore, A. S. (2020). Digital marketing for B2B organizations: structured literature review and future research directions. Journal of Business & Industrial Marketing, 35(7), 1191-1204.
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, 34(7), 1410-1419.
Paschen, J., Paschen, U., Pala, E., & Kietzmann, J. (2021). Artificial intelligence (AI) and value co-creation in B2B sales: Activities, actors and resources. Australasian Marketing Journal, 29(3), 243-251.
Paschen, J., Wilson, M., & Ferreira, J. J. (2020). Collaborative intelligence: How human and artificial intelligence create value along the B2B sales funnel. Business Horizons, 63(3), 403-414.
Patel, J., & Chen, S. (2024). Leveraging AI for Lead Generation and Customer Segmentation in B2B Markets. Journal of Marketing Theory and Practice, 32(1), 45–60. https://doi.org/10.1080 /10696679.2024.2310211
Peltier, J. W., Dahl, A. J., & Schibrowsky, J. A. (2024). Artificial intelligence in interactive marketing: a conceptual framework and research agenda. Journal of Research in Interactive Marketing, 18(1), 54-90.
Petrescu, M., & Krishen, A.S.,(2024). Marketing analytics in 2024 conferences: AI and data-driven decision-making. J Market Anal 12, 743–745 (2024). https://doi.org/10.1057/s41270-024-00357-4.
Rana, S. S. S., Ghahremani, J. S., Woo, J. J., Navarro, R. A., & Ramkumar, P. N. (2025). A glossary of terms in artificial intelligence for healthcare. Arthroscopy: The Journal of Arthroscopic & Related Surgery, 41(2), 516-531.
Rezazadeh, A. (2020). A generalized flow for B2B sales predictive modeling: An azure machine-learning approach. Forecasting, 2(3), 267-283.
Ritter, T., & Pedersen, C. L. (2020). Digitization capability and the digitalization of business models in business-to-business firms: Past, present, and future. Industrial marketing management, 86, 180-190.
Rusthollkarhu, S., Toukola, S., Aarikka-Stenroos, L., & Mahlamäki, T. (2022). Managing B2B customer journeys in digital era: Four management activities with artificial intelligence-empowered tools. Industrial Marketing Management, 104, 241-257.
Rusthollkarhu, S., Toukola, S., Aarikka-Stenroos, L., & Mahlamäki, T. (2022). Managing B2B customer journeys in digital era: Four management activities with artificial intelligence-empowered tools. Industrial Marketing Management, 104, 241-257.
Saura, J. R., Ribeiro-Soriano, D., & Palacios-Marqués, D. (2021). Setting B2B digital marketing in artificial intelligence-based CRMs: A review and directions for future research. Industrial Marketing Management, 98, 161-178.
Schmidt, R., Zimmermann, A., Möhring, M., & Keller, B. (2020). Value creation in connectionist artificial intelligence–a research agenda.proceedings-Advancings in information systems research,10-14, 2020, Online, 1-10.
Shahbazi, Z., & Byun, Y. C. (2021). Improving the product recommendation system based-on customer interest for online shopping using deep reinforcement learning. Soft Computing and Machine Intelligence, 1(1), 31-35.
Singh, N., Singh, P., Singh, K. K., & Singh, A. (2020). Machine learning based classification and segmentation techniques for CRM: a customer analytics. International Journal of Business Forecasting and Marketing Intelligence, 6(2), 99-117.
Sjödin, D., Parida, V., Palmié, M., & Wincent, J. (2021). How AI capabilities enable business model innovation: Scaling AI through co-evolutionary processes and feedback loops. Journal of Business Research, 134, 574-587.
Spais, G., & Chryssochoidis, G.(2025). Trends and future of artificial intelligence (AI), machine learning (ML) algorithms, and data analytics and their applications and implications for digital marketing and digital promotions. J Market Anal, https://doi.org/10.1057/s41270-025-00406-6
Tarazona-Montoya, R., Devece, C., & Llopis-Albert, C. (2024). Effectiveness of digital marketing and its value in new ventures. Int Entrep Manag, 20, 2839–2862, https://doi.org/10.1007/s11365-024-00959-5
Umer, S., Mohanta, P. P., Rout, R. K., & Pandey, H. M. (2021). Machine learning method for cosmetic product recognition: a visual searching approach. Multimedia Tools and Applications, 80, 34997-35023.
Venkatesh, R., Mathew, L., & Singhal, T.K. (2019). Imperatives of business models and digital transformation for digital services providers, International Journal of Business Data Communications and Networking, 15(1), 105-124.
Vlačić, B., Corbo, L., e Silva, S. C., & Dabić, M. (2021). Corrigendum to “The evolving role of artificial intelligence in marketing: advanced topics and research agenda”[J. Bus. Res. Journal of Business Research, 134, 414-424.
Yang, Y. (2020). RETRACTED ARTICLE: Research on the optimization of the supplier intelligent management system for cross-border e-commerce platforms based on machine learning. Information Systems and e-Business Management, 18(4), 851-870.
Yau, K. L. A., Saad, N. M., & Chong, Y. W. (2021). Artificial intelligence marketing (AIM) for enhancing customer relationships. Applied Sciences, 11(18), 8562.
Zumrah, A.R., Al-Tahitah, A.N.A., Alkaabi, A., & Alghizzawi, M. (2024). Transforming Digital Marketing and Organizations in the Future. In: Mansour, N., Bujosa Vadell, L.M. (eds) Green Finance and Energy Transition. Contributions to Finance and Accounting. Springer,. https://doi.org/10.1007/ 978-3-031-75960-4_50.
