DETERMINANTS OF DIGITAL TECHNOLOGY ADOPTION: A MULTIVARIABLE FRAMEWORK FOR ORGANIZATIONAL READINESS, PERCEIVED VALUE, AND ADOPTION BARRIERS
DOI:
https://doi.org/10.69980/9f5hvm81Keywords:
Digital technology adoption, organizational readiness, perceived value, adoption barriers, competitive pressure, multivariable analysisAbstract
The adoption of digital technology is more and more being influenced by organizational capacity, value, constraints of implementation and external competition. This study proposes a multivariable analysis that investigates how organizational readiness, perceived value, cost barriers, complexity barriers, and complementary behavioral and contextual determinants affect digital technology adoption. A quantitative secondary-data design was implemented based on 327 complete responses from organizational surveys, and the operationalization of the digital technology adoption was through the adoption intention measured in five-point Likert scales. Construct reliability, descriptive statistics, Pearson correlations, multiple regression, hierarchical regression, multicollinearity diagnostics, and robustness checks were performed. The core model accounted for 19.4% of the variance in adoption, and the extended model explained 26.1% of the variance. The strongest and most stable independent predictor in the fully adjusted model was the competitive pressure. In the core model, perceived value was an important contributor and when it was introduced within the given hierarchical sequence it had the greatest incremental effect upon the model, but its individual contribution to the model declined after the introduction of the wider predictors. Cost barriers showed a smaller positive association, while complexity and organizational readiness did not retain independent significance after simultaneous adjustment. The results highlight the need to consider the adoption of digital technology from a more integrated, multivariable approach, where organizational, perceptual, barrier-related, behavioral, and contextual factors act in conjunction and not separately. The framework offers a statistically grounded basis for evaluating adoption decisions across technologically evolving organizational environments.
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