Ana Urraca-Ruiz , Julia Torracca , Tatiana Machado , Jorge Britto
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引用次数: 0
Abstract
The paper examines factors influencing expectations in the technology adoption process, focusing on 464 manufacturing Brazilian firms. It analyzes projections gathered from surveys conducted in 2017 (for expectations up to 2027) and 2020 (up to 2030). Internal knowledge, firm capacitation, technology perception, and structural features' roles in expectation shifts were assessed using fuzzy-system methodology. Results show a shift from incongruent and optimistic to congruent and non-optimistic patterns between 2017 and 2020. Learning efforts and digital readiness enhance congruence probability, while non-exporting firms are more likely to shift to incongruent and non-optimistic expectations. Additionally, a perception of low market dominance of digital technologies reduces the likelihood of transitioning to non-optimistic expectations. Overall, enhancing digital readiness mitigates regression in expectation patterns, underscoring the importance of proactive learning and adaptation in firms' technology adoption strategies.
期刊介绍:
The Journal of High Technology Management Research promotes interdisciplinary research regarding the special problems and opportunities related to the management of emerging technologies. It advances the theoretical base of knowledge available to both academicians and practitioners in studying the management of technological products, services, and companies. The Journal is intended as an outlet for individuals conducting research on high technology management at both a micro and macro level of analysis.