For the research topic "Empowering Consumers Through The Metaverse: Exploring How FMCG Brands Are Adapting To Enhance Your Shopping Experience", a pragmatic approach, in my opinion, is deemed appropriate for several reasons:

Nature of the Problem: The topic at hand is multidimensional, encompassing both the technological evolution represented by the metaverse and the business strategies employed by FMCG brands. A pragmatic philosophy allows the researcher to be flexible in terms of methods, techniques, and procedures, ensuring that the most effective approach is used to gather insights.

Objectives: Given the research objectives, which aim at understanding both opportunities and challenges (objective) and gauging influence and effectiveness (subjective), a pragmatic approach provides the flexibility to combine various strategies to address both.

Data Collection: While the primary data collection through a closed-end questionnaire might seem positivist in nature, the underlying assumptions and interpretations regarding brand engagement, shopping experience, and the intricacies of the metaverse could benefit from the flexibility of pragmatism. It means that while the data is quantitative, the interpretations and implications might require a more interpretive stance, thus justifying the pragmatic philosophy.

Interdisciplinary Nature: The intersection of technology (metaverse) and business (FMCG brands) requires a holistic understanding that isn't confined by the rigid boundaries of a single research philosophy. Pragmatism, by its nature, isn't strictly committed to any one system of philosophy and reality. This is especially valuable for such interdisciplinary topics.

Outcome-Oriented: Pragmatism is inherently practical and outcome-oriented. Given that the research aims to uncover actionable insights for FMCG brands in the metaverse, this approach ensures that the findings are rooted in practicality and can be directly applied in real-world scenarios.

Adopting a pragmatic research philosophy for this study ensures flexibility, a holistic understanding, and an outcome-oriented approach, all of which are essential for comprehensively addressing the research objectives and providing valuable insights into both the technological and business dimensions of the topic.