·        Batko, R., & Szopa, A. (2016). Strategic imperatives and core competencies in the era of
robotics and artificial intelligence. IGI Global.

• Borges, A. F., Laurindo, F. J., Spínola, M. M., Gonçalves, R. F., & Mattos, C. A. (2020).
  Chahal, H., & Kaur, J. (2014). Development of marketing capabilities scale in banking
  sector. Measuring Business Excellence.
• Day, G. S. (2011). Closing the marketing capabilities gap. Journal of marketing, 75(4),
  183–195.
• Dwivedi, Y. K., & Wang, Y. (2022). Guest editorial: Artificial intelligence for B2B
  marketing: Challenges and opportunities. In In (Vol. 105, pp. 109–113).
• Enholm, I. M., Papagiannidis, E., Mikalef, P., & Krogstie, J. (2021). Artificial intelligence
  and business value: A literature review. Information Systems Frontiers, 1–26.
• Farrokhi, A., Shirazi, F., Hajli, N., & Tajvidi, M. (2020). Using artificial intelligence to
  detect crisis related to events: Decision making in B2B by artificial intelligence.
• Fountaine, T., McCarthy, B., & Saleh, T. (2019). Building the AI-powered organization.
  Harvard Business Review, 63–73.
• Guo, H., Xu, H., Tang, C., Liu-Thompkins, Y., Guo, Z., & Dong, B. (2018). Comparing the
  impact of different marketing capabilities: Empirical evidence from B2B firms in
  China. Journal of Business Research, 93, 79–89.
• Herhausen, D., Mioˇcevi´c, D., Morgan, R. E., & Kleijnen, M. H. (2020). The digital
  marketing capabilities gap. Industrial Marketing Management, 90, 276–290.
• Kamboj, S., & Rahman, Z. (2015). Marketing capabilities and firm performance:
  Literature review and future research agenda. International Journal of Productivity and
  Performance Management.
• Kietzmann, J., & Pitt, L. F. (2020). Artificial intelligence and machine learning: What
  managers need to know. Business Horizons, 63(2), 131–133.
• Kolis, K., & Jirinova, K. (2013). Differences between B2B and B2C customer relationship
  management. Findings from the Czech Republic. European Scientific Journal, 4,
  22–27.
• Liu, G., Eng, T. Y., & Takeda, S. (2015). An investigation of marketing capabilities and
  social enterprise performance in the UK and Japan. Entrepreneurship Theory and
  Practice, 39(2), 267–298.
• Lu, Y., & Ramamurthy, K. (2011). Understanding the link between information
  technology capability and organizational agility: An empirical examination. MIS
  Quarterly, 35(4), 931–954.
• Makarius, E. E., Mukherjee, D., Fox, J. D., & Fox, A. K. (2020). Rising with the machines:
  A sociotechnical framework for bringing artificial intelligence into the organization.
  Journal of Business Research, 120, 262–273.
• Mariadoss, B. J., Tansuhaj, P. S., & Mouri, N. (2011). Marketing capabilities and
  innovation-based strategies for environmental sustainability: An exploratory
  investigation of B2B firms. Industrial Marketing Management, 40(8), 1305–1318.
• McKinsey. (2022). The state of AI in 2022—and a half decade in review. https://www.
  mckinsey.com/capabilities/quantumblack/our-insights/the-state-of-ai-in-2022-anda-half-decade-in-review.
• Mikalef, P., & Gupta, M. (2021). Artificial Intelligence Capability: Conceptualization,
  measurement calibration, and empirical study on its impact on organizational
  creativity and firm performance. Information & Management, online.
• 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.
• Morgan, N. A., Vorhies, D. W., & Mason, C. H. (2009). Market orientation, marketing
  capabilities, and firm performance. Strategic Management Journal, 30(8), 909–920.
• Nair, S. R., Demirbag, M., Mellahi, K., & Pillai, K. G. (2017). Do parent units benefit from
  reverse knowledge transfer? British Journal of Management.
• 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.
• Pattinson, S., Nicholson, J. D., Ehret, M., Velu, C., & Ryan, P. (2022). Innovation
  ecosystems in B2B contexts: Owning the space. In: Elsevier.
• Pietronudo, M. C., Croidieu, G., & Schiavone, F. (2022). A solution looking for problems?
  A systematic literature review of the rationalizing influence of artificial intelligence
  on decision-making in innovation management. Technological Forecasting and Social
  Change, 182, Article 121828.
• Prahalad, C. K. (1993). The role of core competencies in the corporation. ResearchTechnology Management, 36(6), 40–47.
• Raghupathi, H., Choudhury, D., & Sfeir, C. J. (2023). Application of Artificial Intelligence
  in Market Knowledge and B2B Marketing Co-creation. In Machine Learning for
  Business Analytics (pp. 107–115). Productivity Press.\
• Rahman, M. S., Hossain, M. A., & Fattah, F. A. M. A. (2021). Does marketing analytics
  capability boost firms’ competitive marketing performance in data-rich business
  environment? Journal of Enterprise Information Management, 35(2), 455–480.
• Raisch, S., & Krakowski, S. (2021). Artificial intelligence and management: The
  automation–augmentation paradox. Academy of Management Review, 46(1),
  192–210.
• Reed, G., Story, V., & Saker, J. (2004). Business-to-business marketing: What is important
  to the practitioner? Marketing Intelligence & Planning.
• Saini, A., Grewal, R., & Johnson, J. L. (2010). Putting market-facing technology to work:
  Organizational drivers of CRM performance. Marketing Letters, 21(4), 365–383.
• Santos-Vijande, L., Sanzo-P´ erez, M., Trespalacios Guti´errez, J., & Rodríguez, N. (2012).
  Marketing capabilities development in small and medium enterprises: Implications
  for performance. Journal of CENTRUM Cathedra: The Business and Economics Research
  Journal, 5(1), 24–42.
• Saura, J. R., Ribeiro-Soriano, D., & Palacios-Marqu´es, D. (2021). Setting B2B digital
  marketing in artificial intelligence-based CRMs: A review and directions for future
  research. Industrial Marketing Management, 98, 161–178.
• Sharma, S., Islam, N., Singh, G., & Dhir, A. (2022). Why Do Retail Customers Adopt
  Artificial Intelligence (AI) Based Autonomous Decision-Making Systems? IEEE
  Transactions on Engineering Management.
• Shin, S., & Kang, J. (2022). Structural features and Diffusion Patterns of Gartner Hype
  Cycle for Artificial Intelligence using Social Network analysis. Journal of Intelligence
  and Information Systems, 28(1), 107–129.