Journal of Intelligent Marketing Management

Journal of Intelligent Marketing Management

Investigating the Impact of Artificial Intelligence Competencies on Organizational Performance Through Industrial Marketing Capabilities: A Case Study of Manufacturing Companies in Shahid Salimi Industrial Park, Tabriz

Document Type : Excerpt from master's thesis

Authors
1 Department of Business Administration, Faculty of Management, Islamic Azad University, North Tehran Branch, Tehran, Iran
2 Assistant Prof, Department of Management and Accounting, Nabi Akram University, Tabriz, Iran.
3 MSc in Business Management, Department of Management and Accounting, Nabi Akram University, Tabriz, Iran
Abstract
Objective: This study examines the impact of artificial intelligence (AI) competencies on organizational performance, with Industrial marketing capabilities acting as a mediating factor. Three key dimensions of AI competencies—IT infrastructure, business scope, and proactive stance—are considered, and their direct and indirect effects on organizational performance are analyzed through the enhancement of Industrial marketing capabilities. These capabilities include customer relationship management, product differentiation, customer service, sales promotion, and marketing research.
Methodology: This research employs a quantitative approach and a descriptive-analytical method. Data were collected using standardized questionnaires. The statistical population comprises 503 employees from the IT departments of manufacturing companies located in Shahid Salimi Industrial Park, Tabriz, who are directly engaged with AI-driven processes. The sample size was determined as 217 individuals based on the Morgan Table, and ultimately, 202 valid questionnaires were analyzed. Structural equation modeling (SEM) was utilized for data analysis, employing the Smart PLS software.
Findings: The results indicate that AI competencies have a significant positive impact on organizational performance, and this effect is strengthened through the mediating role of B2B marketing capabilities. Moreover, leveraging advanced AI technologies enhances strategic decision-making and boosts the competitiveness of manufacturing companies in Industrial markets.
Conclusion: Investing in IT infrastructure, expanding business vision, and fostering AI-driven innovations can enhance organizational performance and establish a sustainable competitive advantage in B2B markets. Additionally, implementing training programs, fostering an intelligent organizational culture, and adopting modern digital marketing models are recommended for manufacturing firms.
Keywords

Subjects


Agarwa ,H , Prasad Das,C & Swain, K,.(2022). Does Artificial Intelligence Influence the Operational Performance of Companies? A Study, Atlantis Highlights in Social Sciences, Education and Humanities, volume 2.
Agrawal, S., Gupta, R., & Singh, P. (2024). Operational performance and AI integration in industrial sectors. Journal of Business Research, 78(4), 210–230.
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.
Bago, M., Lee, J., & Parker, D. (2023). Big data analytics and AI in marketing decision-making. International Journal of Data Analytics, 15(1), 56–75.
Barati, M. (2023). The impact of artificial intelligence capabilities on marketing performance in online purchases (Case study: Online stores in Tehran). Ninth International Conference on New Horizons in Management, Accounting, and Entrepreneurship, Tehran.
Bolton, R. N., McColl-Kennedy, J. R., Cheung, L., Gallan, A., Orsingher, C., Witell, L., & Zaki, M. (2018). Customer experience challenges: Bringing together digital, physical, and social realms. Journal of Service Management, 29(5), 776–808.
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.
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.
Chen,D Esperança,J, Wang,S,.(2022). The Impact of Artificial Intelligence on Firm Performance: An Application of the Resource-Based View to e-Commerce Firms, Organizational Psychology, volume 13.
Davenport TH, Ronanki R,(2018). Artificial intelligence for the real world. Harvard business review;96(1):108-16.
Fountaine, T., McCarthy, B., & Saleh, T. (2019). Building the AI-powered organization. Harvard Business Review, 63–73.
Gao, G.Y., Zhou, K.Z. Yim, C.K.,(2007). On what should firms focus in transitional economies? A study of the contingent value of strategic orientations in China, International Journal of Research in Marketing, 24(1), pp. 3–15.
Gomrokchi, F. (2023). Evaluating the impact of artificial intelligence capabilities on sales performance (Case study: Carpet manufacturing companies in Kashan). First International Conference on Management Capability, Industrial Engineering, Accounting, and Economics, Babol.
Herhausen, D., Mioˇcevi´c, D., Morgan, R. E., & Kleijnen, M. H. (2020). The digital marketing capabilities gap. Industrial Marketing Management, 90, 276–290.
Huang, M.-H., Rust, R., & Maksimovic, V. (2019). The feeling economy: Managing in the next generation of artificial intelligence (AI). California Management Review, 61(4),  43–65.
Karamipour, M. (2023). Designing and explaining the competency model of artificial intelligence on organizational performance considering B2B marketing capabilities. Quarterly Journal of Value Creation in Business Management, 3(2).
Kolis, K., & Jirinova, K. (2013). Differences between B2B and B2C customer relationship management. Findings from the Czech Republic. European Scientific Journal, 4, 22–27.
McKinsey & Company. (2025). AI in the workplace: A report for 2025. McKinsey & Company.
Chen, Y., Zhang, L., & Kumar, S. (2023). The impact of artificial intelligence on marketing strategies: Evidence from multinational companies. Journal of Marketing Research, 60(2), 123–145.
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., Lemmer, K., Schaefer, C., Ylinen, M., Fjørtoft, S. O., Torvatn, H. Y., ... & Niehaves, B. (2023). Examining how AI capabilities can foster organizational performance in public organizations. Government Information Quarterly, 40(2), 101797.
Paschen, J., Pitt, C., & Kietzmann, J. (2020). Artificial intelligence: Building blocks and an innovation typology. Business Horizons, 63(2), 147–155.
Phan, T. N., Nguyen, T. T., & Vu, M. T. (2023). From AI capability to enhanced organizational performance: The path through organizational creativity. Journal of Business Research, 158, 113–123. https://doi.org/10.1016/j.jbusres.2022.113123
Ransbotham, S., Gerbert, P., Reeves, M., Kiron, D., & Spira, M. (2018). Artificial Intelligence in Business Gets Real. MIT Sloan Management Review.
Rostamifam, E., & Zohrabi, M. (2022). Investigating the impact of existing knowledge in artificial intelligence on the performance of the insurance industry considering the mediating role of the value chain and insurability criteria. Twenty-ninth National Conference and Tenth International Conference on Insurance and Development with the topic of "Knowledge-based Development of the Insurance Industry".
Shabbir, J., & Anwer, T. (2018). Artificial intelligence and its role in near future. arXiv preprint arXiv:1804.01396.
Sikorova, I. L. (2009). E-Business And Artifical Intelligence, International Scientific Ph.D. And Post Docs Conference, California: United States.
Tjepkema, L. (2019). What Is Artificial Intelligence Marketing & Why Is It So Powerful. Emarsys: https:// www. emarsys.com/ resources/ blog/ artificial-intelligence marketing solutions  / 03.05, 53–55.
Verma, S., Sharma, R., Deb, S., & Maitra, D. (2021). Artificial intelligence in marketing: Systematic review and future research direction. International Journal ofInformation Management Data Insights, 100002.
Wamba-Taguimdje, S.-L., Wamba, S. F., Kamdjoug, J. R. K., & Wanko, C. E. T. (2020). Influence of artificial intelligence(AI) on firm performance: The business value of AIbased transformation projects. Business Process Management Journal, 26(7), 1893–1924.
Wirth, N. (2018). Hello marketing, what can artificial intelligence help you with. International Journal of Market Research, 60(5), 435–438.
Zadahmad, L. (2022). The mediating role of artificial intelligence in the impact of modern marketing on the performance of startup organizations. Specialized Journal of Progress and Excellence Research, 5(4), 15-26.

  • Receive Date 17 March 2025
  • Revise Date 28 March 2025
  • Accept Date 05 April 2025