TY - GEN
T1 - Does an Organization's Performance Matter in Adopting Blockchain Technology? Examining the Impact of Task-Technology Fit and Trade-Off Effect among TOE Factors on Performance Outcome
AU - Shin, Soo Il
AU - Kim, Jin Sik
AU - Negash, Solomon
AU - Saeed, Khawaja
PY - 2025/1/7
Y1 - 2025/1/7
N2 - Blockchain technology offers various use cases and can be appropriated in different ways. However, there is a lack of clarity regarding the performance outcomes of blockchain technology at an organizational level. We identify performance outcomes of blockchain technology and examine how task-technology fit, level of adoption, and technological, organizational, and environmental factors influence these outcomes. Prior literature, technology’s specific features, and its use cases guided the identification of relevant outcomes, including cost reduction, process transparency, and business process innovation. We tested the hypotheses using the response surface methodology (RSM) supplemented by polynomial regression analyses with survey data from 419 organizations. The results indicate that task-technology fit and adoption stages merely show the statistical significance of the outcome variables. However, the TOE factors significantly influence those outcomes independently and jointly. Detailed results and discussions follow.
AB - Blockchain technology offers various use cases and can be appropriated in different ways. However, there is a lack of clarity regarding the performance outcomes of blockchain technology at an organizational level. We identify performance outcomes of blockchain technology and examine how task-technology fit, level of adoption, and technological, organizational, and environmental factors influence these outcomes. Prior literature, technology’s specific features, and its use cases guided the identification of relevant outcomes, including cost reduction, process transparency, and business process innovation. We tested the hypotheses using the response surface methodology (RSM) supplemented by polynomial regression analyses with survey data from 419 organizations. The results indicate that task-technology fit and adoption stages merely show the statistical significance of the outcome variables. However, the TOE factors significantly influence those outcomes independently and jointly. Detailed results and discussions follow.
KW - Blockchain technology
KW - task-technology fit
KW - IS adoption
KW - technological-organizational-environmental framework
KW - Technology adoption
UR - https://hdl.handle.net/10125/109671
U2 - 10.24251/hicss.2025.821
DO - 10.24251/hicss.2025.821
M3 - Conference contribution
BT - Proceedings of the Annual Hawaii International Conference on System Sciences 2025
ER -