Generational cohorts as key drivers of technology adoption in the tech industry

Abstract

Technology adoption in the tech industry is often examined through the lens of generational differences, with younger cohorts perceived as more technologically inclined than older ones. However, this study investigates the extent to which generational cohorts influence technology adoption and explores the moderating effect of adaptability on this relationship. Using Structural Equation Modeling-Partial Least Squares (SEM-PLS), data from 383 tech industry professionals were analyzed to assess the impact of generational identity and adaptability on technology adoption. The findings reveal that while generational cohort significantly influences technology adoption (β = 0.177, p = 0.000), adaptability has a stronger direct effect (β = 0.599, p = 0.000). Furthermore, adaptability moderates the relationship between generational cohort and technology adoption (β = 0.081, p = 0.031), suggesting that highly adaptable individuals across all generations are more likely to embrace technological advancements. These results challenge the assumption that younger generations are inherently better adopters of technology and emphasize the need for adaptability-focused training programs to enhance technology adoption across all age groups. The study contributes to the understanding of digital transformation strategies and provides recommendations for improving workplace adaptability to drive technological integration.