Full Paper: Blockchain Technology Adoption: Factors Influencing Intention and Usage

Blockchain technology is already being discussed as an emerging trend for the upcoming years. Researchers and organizations are beginning to recognize the potential benefits of this technology and are exploring how it can disrupt our world. However, the reality is that there has not been much progress in getting blockchain from a concept to widespread adoption. This study aimed to investigate the factors that influence the adoption of blockchain technology. We proposed a model that incorporated relevant features to blockchain technology adoption, specifically the role of Trust and Security as mediating variables. Data was collected using a questionnaire administered to people working in companies independently of their technology usage. Structural equation modeling using partial least squares (SEM-PLS) was used to analyze the data and construct the model. Results indicated that performance expectancy, social influence, and trust positively influenced people’s actual use or intention to adopt blockchain technology. Additionally, environmental concerns had a negative effect on the intention to adopt. These findings suggest that individuals are more likely to adopt blockchain technology when they perceive it as valuable and trustworthy and receive support from their social networks

Factors Influencing Intention and Usage

Cesario, F., Costa, C. J., Aparicio, M., & Aparicio, J. T. (2023). Blockchain Technology Adoption: Factors Influencing Intention and Usage. In A. R. da Silva, M. M. da Silva, J. Estima, C. Barry, M. Lang, H. Linger, & C. Schneider (Eds.), Information Systems Development, Organizational Aspects and Societal Trends (ISD2023 Proceedings) Instituto Superior Técnico. https://aisel.aisnet.org/isd2014/proceedings2023/managingdevops/1/ --- Funding: The authors acknowledge financial support via ADVANCE- CSG from the Fundação para a Ciência and Tecnologia (FCT Portugal) through research grant numbers UIDB/04521/2020; research grant UIDB/04152/2020—Centro de Investigação em Gestão de Informação (MagIC); and research grant UI/BD/153587/2022.Blockchain technology is already being discussed as an emerging trend for the upcoming years. Researchers and organizations are beginning to recognize the potential benefits of this technology and are exploring how it can disrupt our world. However, the reality is that there has not been much progress in getting blockchain from a concept to widespread adoption. This study aimed to investigate the factors that influence the adoption of blockchain technology. We proposed a model that incorporated relevant features to blockchain technology adoption, specifically the role of Trust and Security as mediating variables. Data was collected using a questionnaire administered to people working in companies independently of their technology usage. Structural equation modeling using partial least squares (SEM-PLS) was used to analyze the data and construct the model. Results indicated that performance expectancy, social influence, and trust positively influenced people’s actual use or intention to adopt blockchain technology. Additionally, environmental concerns had a negative effect on the intention to adopt. These findings suggest that individuals are more likely to adopt blockchain technology when they perceive it as valuable and trustworthy and receive support from their social networks.authorsversionpublishe

New Perspectives for Vehicle-to-Vehicle (V2V) Power Transfer

This paper presents a comparison between different possibilities for the vehicle-to-vehicle (V2V) power transfer between two electric vehicles (EVs). The traditional V2V operation mode is performed through a common energy aggregator, such as the electrical power grid, consisting of a combination of the vehicle-to-grid (V2G) and grid-to-vehicle (G2V) operation modes. The traditional V2V power transfer is based on four power conversions, since each on-board EV battery charger is comprised by two power converters (dc-dc and dc-ac). In this context, this paper proposes new perspectives for the V2V power transfer, both in ac and dc, focusing in the V2V power transfer using dc power (dcV2V). The proposed methods discard the need for an energy aggregator connection, being possible to directly connect two EVs, charging one EV from the other. Furthermore, the proposed dcV2V method allows the reduction of four power conversions to a single one, allowing to increase the overall efficiency of the power transfer between EVs, An efficiency-based evaluation of the different V2V methods is performed, supporting the benefits of dcV2V.This work has been supported by COMPETE: POCI-01-0145–FEDER–007043 and FCT –Fundação para a Ciência e Tecnologia within the Project Scope: UID/CEC/00319/2013. This work is financed by the ERDF – European Regional Development Fund through the Operational Programme for Competitiveness and Internationalisation –COMPETE 2020 Programme, and by National Funds through the Portuguese funding agency, FCT –Fundação para a Ciência e a Tecnologia, within project SAICTPAC/0004/2015 –POCI –01–0145–FEDER–016434.Mr. Tiago Sousa is supported by the doctoral scholarship SFRH/BD/134353/2017 granted by the Portuguese FCT agency

Design Science in Information Systems and Computing

Aparicio, J. T., Aparicio, M., & Costa, C. J. (2023). Design Science in Information Systems and Computing. In S. Anwar, A. Ullah, Á. Rocha, & M. J. Sousa (Eds.), Proceedings of International Conference on Information Technology and Applications: ICITA 2022 (pp. 409-419). (Lecture Notes in Networks and Systems; Vol. 614). Springer Singapore. https://doi.org/10.1007/978-981-19-9331-2_35---We are gratefully acknowledged financial support from FCT—Fundação para a Ciência e Tecnologia, I.P., Portugal, Nacional funding through research grants; INESC-ID pluriannual (UIDB/50021/2020), JTA PhD grant—supported by FCT UI/BD/153587/2022; MA—national funding through research grant UIDB/04152/2020—Centro de Investigação em Gestão de Informação (MagIC, NOVA Information Management School (NOVA IMS), Universidade Nova de Lisboa, Portugal; and CJC—Advance/CSG, ISEG, Universidade de Lisboa and er UIDB/04521/20.Design science is a term that is commonly used to refer to the field of study that focuses on the research of artifacts, constructs, and other artificial concepts. And the purpose of this article is to provide a definition of this domain of knowledge in relation to information systems and computing, as well as to differentiate between what it is and what it is not, as well as to provide examples of these in ongoing research. In order to accomplish this goal, we conduct a bibliometric analysis on design science and its interaction with information systems and computation. The purpose of this study is to identify the primary aggregations of publications pertaining to design science and their chronological analyses. In addition, we clarify a number of common misconceptions about this field of study by defining what really constitutes design science and what exactly does not constitute design science. In addition to this, we determined the primary stages of the methodological approach to design science.authorsversionpublishe