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RELATIONSHIP MARKETING IN DATA-DRIVEN ECOSYSTEMS: A THEORETICAL EVOLUTION

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Name: Diksha Goyal, Rahul Mishra, Ranchhoda Ram
Country: India
Publication Details
Year: 2023
Volume: Volume-10, Issue-1 (January-June)
Page Number: 68-82
Abstract
This study explores the theoretical evolution of relationship marketing within the context of data-driven ecosystems. Traditionally centered on trust, commitment, and long-term customer retention, relationship marketing has undergone a significant transformation due to the integration of big data analytics, artificial intelligence, and digital platforms. This paper adopts a conceptual methodology to synthesize existing literature and develop a comprehensive understanding of how technological advancements are reshaping relational dynamics. The findings reveal a shift from reactive to proactive and predictive relationship management, where firms leverage data to anticipate customer needs and deliver personalized experiences. Furthermore, the emergence of digital ecosystems has expanded relationship marketing beyond dyadic interactions to complex, multi-stakeholder networks characterized by value co-creation and continuous engagement. The study also highlights critical challenges, including data privacy, ethical concerns, and the need for new organizational
capabilities. By integrating insights from marketing, information systems, and ecosystem theory, this research contributes to the development of an updated theoretical framework for relationship marketing in the digital era. The paper concludes by emphasizing the importance of balancing technological innovation with ethical responsibility to sustain trust-based relationships.
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