Dinesh Hemant Bhere
Computer Science
September 2024
This study investigates the integration of Blockchain, Artificial Intelligence (AI), and Internet of Things (IoT) technologies through a quantitative research design employing survey data. The research is cross-sectional, focusing on key latent variables such as Perceived Experience (PEXP), Expected Experience (EEXP), System Information (SINF), Functional Condition (FCND), and others. Confirmatory Factor Analysis (CFA) was used to validate these constructs and ensure they accurately measure theoretical dimensions. The sample comprised 200 respondents from Pune, Pimpri-Chinchwad, and Thane, selected through stratified random sampling to ensure balanced representation across demographic categories. Data collection was conducted using a structured questionnaire with a 5-point Likert scale to assess attitudes and experiences. Measurement model testing confirmed the validity and reliability of the constructs, with results showing strong factor loadings and internal consistency, thereby validating the hypothesized model and providing insights into the effectiveness of Blockchain, AI, and IoT integration.
591- 604
© Airo Journals 2021
