Keywords
SMEs innovation
data relevance
data quality
data visualization
How to Cite
Abstract
Purpose: This paper aims to examine the influence of data monetization dimensions on SMEs innovation: a study of registered SMEs in Kwara state. Specifically, it examined: the effect of data relevance, data quality and data visualization on SMEs innovation.
Methodology: Descriptive survey research design was adopted to study 782 registered SMEs in Ilorin. Sample of 265 SMEs were administered structured questionnaire. Data collected was analyzed using PLS-SEM.
Result: Findings revealed that Data Relevance has the strongest effect on SMEs Innovation (β=0.377, t=6.144, p<0.000), followed by data visualization (β=0.347, t=4.443, p<0.000), and data quality (β=0.213, t=3.185, p=0.002).
Contribution: Data monetization is vital for SMEs Innovation in Kwara State. It is important that managers should focus on developing unique and appealing data visualization, data relevance, and data quality that can ensure a strong data monetization for their SMEs innovation.
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