ABSTRACT
This article provides an enriched technology acceptance model explaining the impact of both classic and additional variables on software engineering tools acceptance within Information Systems Development courses. Two novel, domain-specific variables were identified (i.e., Professional Training Diffusion and Model Interchange). Statistical verification of the proposed model and study regarding the influence of the variables on students’ intention to use specific tools were conducted—providing users with enhanced means of selecting optimal software for real-life projects.
Additional information
Notes on contributors
Stanislaw Wrycza
Prof. Stanislaw Wrycza is the head of the Department of Business Informatics, University of Gdansk, Poland. His numerous publications address the challenges of business informatics, ISD, e-business, and e-learning. He is an editorial board member of established IT journals. He has organized numerous international conferences, serving as organizing chair of the following conferences: European Conference on IS (ECIS) 2002, Business Informatics Research (BIR) 2008, several editions of SIGSAND/PLAIS EuroSymposium on SAND, and Conference on Advanced IS Engineering (CAiSE) 2012. He is the former Vice President of Information Systems Academic Heads International (2008–2010).
Bartosz Marcinkowski
Bartosz Marcinkowski, PhD, is engaged in research and teaching regarding IS design; in particular, using UML, SysML as well as BPMN. He utilizes a broad range of IT tools within his courses. He is also an expert in computer networks administration domain and an instructor at numerous professional training ventures dedicated to development of IT competences of Pomerania region, Poland. His professional skills are confirmed by international certificates, inter alia: OMG Certified UML Professional, OMG Certified Expert in BPM, Cisco Certified Network Associate Instructor Trainer, and ITIL V3.
Damian Gajda
Damian Gajda works as a researcher at the Department of Statistics at the University of Gdansk, Poland. His main research interests include statistics, information society, as well as e-business. He is an expert at building structural equation models using SPSS and AMOS. He is an experienced lecturer for degree courses in Financial Mathematics, Descriptive and Mathematical Statistics, and Probability. Damian Gajda has co-authored numerous journal publications, conference papers, and book chapters.