TY - JOUR
T1 - Blockchain Adoption Factors
AU - Bernardino, Carlos
AU - Cesário, Francisco
AU - Costa, Carlos J.
AU - Aparício, Manuela
AU - Aparício, João Tiago
N1 - Bernardino, C., Cesário, F., Costa, C. J., Aparício, M., & Aparício, J. T. (2025). Blockchain Adoption Factors. International Journal of Information Systems and Project Management, 13(1), 1-23. Article e3. https://doi.org/10.12821/ijispm130103
PY - 2025/1/27
Y1 - 2025/1/27
N2 - Blockchain technology is a distributed ledger that promises transformative changes across various sectors, yet its adoption and integrations in small and medium-sized organizations remain limited. This study investigates the factors that influence the adoption of blockchain technology, emphasizing the significance of Trust and Security as key moderators. Using a questionnaire distributed to a diverse group of employees and analyzing responses through Structural Equation Modeling (SEM-PLS), we constructed a predictive model of blockchain adoption. Our analysis reveals that Performance Expectancy and Social Influence positively affect the intention to adopt blockchain, indicating that perceived effectiveness and peer support drive adoption. Trust significantly enhances this intention, underscoring the importance of confidence in the technology's reliability and security. Environmental Concerns present a barrier, suggesting sustainability perceptions can deter adoption. This study conclusively demonstrates that promoting trust, addressing environmental sustainability, and leveraging social influence are pivotal for accelerating blockchain adoption in small and medium-sized organizations.
AB - Blockchain technology is a distributed ledger that promises transformative changes across various sectors, yet its adoption and integrations in small and medium-sized organizations remain limited. This study investigates the factors that influence the adoption of blockchain technology, emphasizing the significance of Trust and Security as key moderators. Using a questionnaire distributed to a diverse group of employees and analyzing responses through Structural Equation Modeling (SEM-PLS), we constructed a predictive model of blockchain adoption. Our analysis reveals that Performance Expectancy and Social Influence positively affect the intention to adopt blockchain, indicating that perceived effectiveness and peer support drive adoption. Trust significantly enhances this intention, underscoring the importance of confidence in the technology's reliability and security. Environmental Concerns present a barrier, suggesting sustainability perceptions can deter adoption. This study conclusively demonstrates that promoting trust, addressing environmental sustainability, and leveraging social influence are pivotal for accelerating blockchain adoption in small and medium-sized organizations.
KW - blockchain
KW - blockchain adoption
KW - technology acceptance
KW - technology use behavior
UR - http://www.scopus.com/inward/record.url?scp=85217269606&partnerID=8YFLogxK
UR - https://www.webofscience.com/wos/woscc/full-record/WOS:001413230400003
U2 - 10.12821/ijispm130103
DO - 10.12821/ijispm130103
M3 - Article
SN - 2182-7796
VL - 13
SP - 1
EP - 23
JO - International Journal of Information Systems and Project Management
JF - International Journal of Information Systems and Project Management
IS - 1
M1 - e3
ER -
