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THE MORDERATING IMPACT OF ARTIFICIAL INTELLIGENCE AND BIG DATA
                      ANALYTICS APPLICATION ON THE RELATIONSHIP BETWEEN DYNAMIC
                    MARKETING CAPABILITIES AND EXPORT PERFORMANCE OF SMALL AND
                                     MEDIUM-SIZED ENTERPRISES IN VIETNAM


                                                                       2
                              Nguyen Xuan Hung* , Nguyen Trung Kien , Vo Nguyen Phuong       2
                                                   1
                                       1, 3  National Economics University, Hanoi, Vietnam.
                            2  Global Technology Solutions Vietnam Joint Stock Company, Hanoi, Vietnam
                                                (*E-mail: hungnx@neu.edu.vn)

                                                         ABSTRACT
                        Amidst global economic volatility and rapid digitalization, artificial intelligence and
                  big data analytics (AIBDA) are fundamentally transforming marketing paradigms for
                  export-oriented firms. This study investigates the moderating role of AIBDA integration in
                  the relationship between Dynamic Marketing Capabilities (DMCs) and Export
                  Performance (EP) among 308 Small and Medium-sized Enterprises (SMEs) in Vietnam.
                  Utilizing multiple linear regression, the analysis reveals that Market Orientation Capability
                  (MOC) and New Product Development Capability (NPDC) significantly enhance EP.
                  Conversely, Customer Relationship Management (CRMC) and Brand Management (BMC)
                  do not exhibit statistically significant direct effects. Crucially, the results highlight that
                  AIBDA integration strengthens the positive impact of both MOC and BMC on export
                  success. These findings contribute to the literature by reconciling the nexus between
                  DMCs and EP through a technological lens, offering strategic insights for SMEs to leverage
                  AIBDA for competitive advantage in international markets.
                        Keywords: Artificial intelligence; big data analytics; dynamic capabilities view;
                  dynamic marketing capabilities; export performance.


                        1. Introduction
                        The Fourth Industrial Revolution, powered by Artificial Intelligence and Big Data
                  Analytics (AIBDA), is fundamentally reshaping global business competition. Beyond
                  managing data complexity, AIBDA empowers firms to transform vast datasets into
                  actionable insights, optimizing performance and strategic decision-making (Latifian, 2024;
                  Mogaji et al., 2020; Zong et al., 2025). For Small and Medium-sized Enterprises (SMEs),
                  these technologies are vital, enabling them to overcome resource constraints and
                  compete internationally without prohibitive investments in analytical infrastructure
                  (Latifian, 2024).
                        Simultaneously, rising geopolitical tensions and economic sanctions have
                  heightened the vulnerability of international trade, disrupting supply chains and market
                  access (Dayangan & Aykol, 2024; Jeong et al., 2022). To navigate this instability, SMEs
                  must cultivate Dynamic Marketing Capabilities (DMCs)—cross-functional processes that
                  deliver superior value by sensing and responding to market shifts (Hoque et al., 2020).
                  DMCs allow firms to proactively seize opportunities and implement effective marketing
                  strategies, thereby driving Export Performance (EP) (Hoque et al., 2020). Despite the
                  established links between DMCs and EP (Hoque, 2020; Cataltepe, 2022; Saeed et al., 2023;
                  Khraim, 2024), and the proven benefits of AIBDA for innovation and competitive
                  advantage (Yu et al., 2025; Awan et al., 2025; Song & Liao, 2025), a critical research gap


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