Clean Dataset for PLS-SEM Analysis – IoT Adoption in Middle Eastern Nanostores

This dataset accompanies the paper “Revisiting UTAUT2 in Micro-Retail: Hedonic Motivation and Affordability as Dominant Predictors of IoT Adoption in Middle Eastern Nanostores.”It contains anonymized quantitative data collected from 804 nanostore owners across five Middle Eastern countries during 2025.The dataset was analyzed using PLS-SEM in SmartPLS 4 to validate the UTAUT2 model for IoT adoption.All personal identifiers were removed to preserve respondent anonymity. Contents:– Clean data for PLS.csv (ready for SmartPLS 4 analysis)– Constructs: PE, EE, SI, FC, HM, PV, HT, BI– Country and demographic variables Use: Researchers may reuse this dataset for replication or comparative studies on digital transformation, technology adoption, and small-retail innovation in emerging markets.