[1] Lee, B. K. (2025). Digital product management: strategic planning and market opportunity. CRC Press. https://doi.org/10.1201/9781003484295
[2] Johnson, D. S., Sihi, D., & Muzellec, L. (2021, September). Implementing big data analytics in marketing departments: Mixing organic and administered approaches to increase data-driven decision making. In Informatics (Vol. 8, No. 4, p. 66). MDPI. https://doi.org/10.3390/informatics8040066
[3] Bella, K. M. J. (2024). A study on marketing analytics and artificial intelligence. SELP Journal of Social Science-A Blind Review & Refereed Quarterly Journal, XV (55), 53-57.
[4] Baqai, S. R., & Qureshi, J. (2024). Adopting artificial intelligence and marketing analytics for data-driven decisions and cutting edge solutions. In IBA SBS 4th International Conference 2025. Retrieved from https://ir.iba.edu.pk/sbsic/2024/program/38
[5] 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. https://doi.org/10.1108/JEIM-05-2020-0185
[6] Cao, G., Tian, N., & Blankson, C. (2022). Big data, marketing analytics, and firm marketing capabilities. Journal of Computer Information Systems, 62(3), 442-451. https://doi.org/10.1080/08874417.2020.1842270
[7] Zaman, K. (2022). Transformation of marketing decisions through artificial intelligence and digital marketing. Journal of Marketing Strategies, 4(2), 353-364. https://doi.org/10.52633/jms.v4i2.210
[8] Sharfaei, S., Wei Ong, J., & Ojo, A. O. (2023). The impact of market uncertainty on international SME performance. Cogent Business & Management, 10(1), 2198160. https://doi.org/10.1080/23311975.2023.2198160
[9] Hossain, M. A., Agnihotri, R., Rushan, M. R. I., Rahman, M. S., & Sumi, S. F. (2022). Marketing analytics capability, artificial intelligence adoption, and firms' competitive advantage: Evidence from the manufacturing industry. Industrial Marketing Management, 106, 240-255. https://doi.org/10.1016/j.indmarman.2022.08.017
[10] Cao, G., Duan, Y., & El Banna, A. (2019). A dynamic capability view of marketing analytics: Evidence from UK firms. Industrial Marketing Management, 76, 72-83. https://doi.org/10.1016/j.indmarman.2018.08.002
[11] Hossain, M. A., Akter, S., Yanamandram, V., & Wamba, S. F. (2023). Data-driven market effectiveness: The role of a sustained customer analytics capability in business operations. Technological Forecasting and Social Change, 194, 122745. https://doi.org/10.1016/j.techfore.2023.122745
[12] Gupta, S., Justy, T., Kamboj, S., Kumar, A., & Kristoffersen, E. (2021). Big data and firm marketing performance: Findings from knowledge-based view. Technological Forecasting and Social Change, 171, 120986. https://doi.org/10.1016/j.techfore.2021.120986
[13] Rahimi celver, H. and akbariarbatan, G. (2024). Providing an optimal business model based on creating data marketplaces in industrial units. Management Research in Iran, 28(1), 154-174. https://mri.modares.ac.ir/article_644.html?lang=en [In Persian]
[14] Yazdani, H. R., Sohrabi, B., & jalilian, M. (2021). Identifying Qualitative Indicators For Evaluating IoT Business Models Based On Big Data Analysis In The Smart City. Modern Research in Decision Making, 6(2), 125-154. https://dor.isc.ac/dor/20.1001.1.24766291.1400.6.2.6.6 [In Persian]
[15] Zarei, G., Mohammad khani, R., & fathi, H. (2024). Investigating and identifying the consequences of using artificial intelligence in marketing. Management Research in Iran, 28(2), 1-31. https://mri.modares.ac.ir/article_645.html?lang=en [In Persian]
[16] Wibisono, O., Ari, H. D., Widjanarti, A., Zulen, A. A., & Tissot, B. (2019). The use of big data analytics and artificial intelligence in central banking. IFC Bulletins, Bank for International Settlements, 50, 1-20. https://www.bis.org/ifc/publ/ifcb50.pdf
[17] Ifekanandu, C. C., Ezirim, A. C., & Kingsley, U. A. (2023). Artificial intelligence adoption and marketing performance of quoted manufacturing firms in Nigeria. Int. J. Innov. Sci. Res. Technol, 8, 1194-1207. https://doi.org/10.5281/zenodo.8305001
[18] Verma, S., Sharma, R., Deb, S., & Maitra, D. (2021). Artificial intelligence in marketing: Systematic review and future research direction. International Journal of Information Management Data Insights, 1(1), 100002. https://doi.org/10.1016/j.jjimei.2020.100002
[19] Nnaji, U. O., Benjamin, L. B., Eyo-Udo, N. L., & Etukudoh, E. A. (2024). A review of strategic decision-making in marketing through big data and analytics. Magna Scientia Advanced Research and Reviews, 11(1), 084-091. https://doi.org/10.30574/msarr.2024.11.1.0077
[20] 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. https://doi.org/10.1016/j.indmarman.2019.09.001
[21] Eriksson, T., Bigi, A., & Bonera, M. (2020). Think with me, or think for me? On the future role of artificial intelligence in marketing strategy formulation. The TQM Journal, 32 (4), 795–814. https://doi.org/10.1108/TQM-12-2019-0303
[22] Hicham, N., Nassera, H., & Karim, S. (2023). Strategic framework for leveraging artificial intelligence in future marketing decision-making. Journal of Intelligent Management Decision, 2(3), 139-150. https://doi.org/10.56578/jimd020304
[23] Conejo, A. J., Carrión, M., & Morales, J. M. (2010). Decision making under uncertainty in electricity markets (Vol. 1, pp. 376-384). New York: Springer. https://doi.org/10.1007/978-1-4419-7421-1
[24] Chen, J., Zhou, W., & Frankwick, G. L. (2025). Firm AI adoption intensity and marketing performance. Journal of Computer Information Systems, 65(2), 172-189. https://doi.org/10.1080/08874417.2023.2277751
[25] Shirmohammadzadeh, S. (2024). The impact of general analytical capabilities on marketing agility and effectiveness under potential market turbulence (Unpublished master’s thesis). Nima Institute of Higher Education. https://ganj.irandoc.ac.ir/5/articles/2d872371a293bec2d2883f73081087bc [In Persian]
[26] Demirağ, F. (2025). The impact of AI-supported marketing capabilities and analytics on SMEs' customer agility and marketing performance. International Journal of Social Sciences and Education Research, 11(1), 1-14. https://doi.org/10.24289/ijsser.1601570
[27] Kotler, P., & Keller, K. L. (2016). Marketing management (15th ed.). Pearson Education
[28] Alsheibani, S., Cheung, Y., & Messom, C. (2018). Artificial intelligence adoption: AI-readiness at firm-level. In Pacific Asia Conference on Information Systems 2018 (p. 37). Association for Information Systems. https://aisel.aisnet.org/pacis2018/37
[29] Avadi, M., Kordnaeij, A., Khodad Hosseini, S. H., & Ganjali, A. (2022). Examining The Role of Historical Dimensions of The Organization in The Managers' Decision to Implement Strategic Changes; A Systematic Review. Modern Research in Decision Making, 7(4), 157-188. https://dor.isc.ac/dor/20.1001.1.24766291.1401.7.4.7.4 [In Persian]
[30] Ashill, N. J., & Jobber, D. (2014). The effects of the external environment on marketing decision-maker uncertainty. Journal of Marketing Management, 30(3-4), 268-294. http://dx.doi.org/10.1080/0267257X.2013.811281
[31] Wolf, E. J., Harrington, K. M., Clark, S. L., & Miller, M. W. (2013). Sample size requirements for structural equation models: An evaluation of power, bias, and solution propriety. Educational and psychological measurement, 73(6), 913-934. https://doi.org/10.1177/0013164413495237
[32] Faul, F., Erdfelder, E., Buchner, A., & Lang, A. G. (2009). Statistical power analyses using G* Power 3.1: Tests for correlation and regression analyses. Behavior research methods, 41(4), 1149-1160. doi: https://link.springer.com/article/10.3758/BRM.41.4.1149
[33] Hair, J. F., Hult, G. T. M., Ringle, C. M., & Sarstedt, M. (2022). A primer on partial least squares structural equation modeling (PLS-SEM) (3 ed.). Thousand Oaks, CA: Sage. https://doi.org/10.1007/978-3-319-57413-4_15
[34] Shrestha, N. (2021). Factor analysis as a tool for survey analysis. American journal of Applied Mathematics and statistics, 9(1), 4-11. http://dx.doi.org/10.12691/ajams-9-1-2
[35] George, D., & Mallery, P. (2019). IBM SPSS statistics 25 step by step: A simple guide and reference (15th ed.). New York: Routledge. https://doi.org/10.4324/9780429056765
[36] Sarstedt, M., & Cheah, J. H. (2019). Partial least squares structural equation modeling using SmartPLS: a software review. Journal of Marketing Analytics, 7(3), 196-202. https://doi.org/10.1057/s41270-019-00058-3
[37] Hair, J. F., Sarstedt, M., Ringle, C. M., & Gudergan, S. P. (2024). Advanced Issues in Partial Least Squares Structural Equation Modeling (PLS-SEM) (2e). Thousand Oaks, CA: Sage. https://tore.tuhh.de/handle/11420/52983