Authors:
Ruben Picek
1
;
Samo Bobek
2
and
Simona Sternad Zabukovšek
2
Affiliations:
1
Faculty of Organization and Informatics, University of Zagreb, Pavlinska 2, 42000 Varaždin and Croatia
;
2
Faculty of Economics and Business, University of Maribor, Razlagova ul. 14, 2000 Maribor and Slovenia
Keyword(s):
ERP Solutions, TAM, Graduates of Informatics, Acceptance Model, Personal Characteristics.
Related
Ontology
Subjects/Areas/Topics:
Databases and Information Systems Integration
;
Enterprise Information Systems
;
Enterprise Resource Planning
;
Enterprise Software Technologies
;
HCI on Enterprise Information Systems
;
Human-Computer Interaction
;
Simulation and Modeling
;
Simulation Tools and Platforms
;
Software Engineering
Abstract:
Enterprise Resource Planning (ERP) solutions are the most frequently used software tool in companies in all industries. The growing body of scientific literature about the acceptance of ERP solutions by users in companies reflects the growing perceived importance of ERP solutions for business management as well. The labour market requires the knowledge and skills for usage of ERP solutions from graduates – future employees. The main objective of our paper is therefore the identification of important factors that contribute to the acceptance of ERP solutions by students in economics and business and that shape their intentions to use this knowledge in the future. The conceptual model of our research is based on the Technology Acceptance Model (TAM), extended by previously identified important multidimensional external factors that refer to students’ personal characteristics and information literacy. The conceptual model formed was tested using the structural equation modelling. Resear
ch results revealed that only two of external factors play an important role in shaping the attitudes towards acceptance of ERP solutions by students. Results of the study have important implications for higher education institutions, reforming and updating their study programs, as well as for educators in the field of information science.
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