Supplementary Conceptual Evidence Matrix for "From Socio-Cultural Identity to Consumer Spending Decisions: A Framework for SMEs and Digital Markets"

This dataset contains the supplementary conceptual evidence matrix developed to support the book chapter entitled “From Socio-Cultural Identity to Consumer Spending Decisions: A Framework for SMEs and Digital Markets.” The dataset documents the theoretical sources used in developing an integrated framework linking socio-cultural identity, consumer psychological factors, behavioral finance biases, consumer decision-making, the digital market environment, and consumer spending outcomes in the context of small and medium-sized enterprises (SMEs). The Microsoft Excel workbook contains two worksheets: “Evidence Matrix” presents a source-level conceptual evidence matrix covering 45 scholarly sources. For each source, the matrix records the source identifier, author and publication year, full bibliographic reference, DOI URL, theoretical domain, key construct or topic, source type, relevant framework element, and related proposition or contextual contribution. “Proposition Map” maps the ten propositions developed in the chapter (P1–P10) to their primary supporting sources, underlying framework logic, and evidence status. The evidence-status field distinguishes conceptually supported relationships from proposed mediation, moderation, interaction, boundary-condition, and feedback relationships that require further empirical testing. The dataset was developed through a theory-driven integrative conceptual synthesis. It is intended to improve transparency and traceability by showing how the reviewed literature informed the framework components and propositions. It may also assist researchers in designing empirical studies, developing measurement instruments, selecting variables, and testing the proposed relationships across cultural, digital-platform, product, and SME contexts. No new empirical, experimental, transactional, or participant-level data were generated or analyzed. The workbook should therefore be understood as a structured conceptual evidence resource rather than a systematic-review database, meta-analytic dataset, or assessment of the methodological quality of the included studies.