Predicting the behavioral intention to use enterprise resource planning systems

Abstract

PurposeThe purpose of this paper is to examine various factors affecting users' behavioral intention to use (BIU) enterprise resource planning (ERP) systems, based on data from 75 potential end‐users of ERP systems.Design/methodology/approachA survey methodology is used to gather data. The research model is constructed based on the findings of the previous studies.FindingsThe results indicate that subjective norms, perceived usefulness (PU) and education level are determinants of BIU the system. In addition, PU affects attitude toward use, and both perceived ease of use (PEOU) and compatibility affect PU. In addition, among personal characteristics, education level has a significant effect on PEOU and behavioral intention. However, there is no significant relationship between attitude and behavioral intention.Research limitations/implicationsAs the sample is limited, the findings will require validation among other populations.Practical implicationsThis paper provides evidence that compatibility and PEOU are important for the users to perceive the system's usefulness. Also, subjective norm is very important for the BIU the ERP systems.Originality/valueThis paper combines technology acceptance model, theory of reasoned action and innovation diffusion theory with personal characteristics of gender, education level and experience to determine the factors important for the acceptance of ERP systems.

Does Usability Matter? An Analysis of the Impact of Usability on Technology Acceptance in ERP Settings

“…This result is surprising and does not align with the traditional TAM model by F. D. Davis et al (1989). On the other hand, hypotheses H3 and H4 are supported, which is in agreement with the research findings of Bueno and Salmeron (2008), Calisir et al (2009), andSamander andAbdul Rahman (2014). The results seem to reinforce the rather important observation that if things are not perceived as easy to use then they are not considered useful.…”

“…A number of researchers (Calisir, Gumussoy, & Bayram, 2009;Sūpulniece et al, 2013;Usmanij, Khosla, & Chu, 2013) have suggested that user satisfaction is one of the key factors leading to the success of an Information System (IS) and that interface usability can be seen as one of the factors that influences end user satisfaction (Babaian, Lucas, & Topi, 2006;Šūpulniece et al, 2013). A user friendly interface decreases system complexity and impacts on user behavior (Bueno & Salmeron, 2008).…”

Mobile Healthcare Adoption among Patients in a Developing Country Environment: Exploring the Influence of Age and Gender Differences

“…Undoubtedly, the moderating effects of gender have been statistically confirmed in adoption and acceptance studies of different information technology domains and settings (Lichtenstein & Williamson, 2006;Zhang, 2009;Hasan, 2010;Riquelme & Rios, 2010;Van Slyke et al, 2010;Dong & Zhang, 2011). Apparently, there has been no conclusive evidence to suggest that gender differences always have a pronounced effect in relation to the research conducted in the context of adoption of a new technological innovation (Bigne et al, 2005;Cyr & Bonannni, 2005;Calisir et al, 2009;Dong & Zhang, 2011 (Bigne et al, 2005;Zhou et al, 2007;Lip-Sam & Hock-Eam, 2011). However, the moderating effects of gender have not largely been investigated in the context of m-healthcare.…”

Cloud Computing (SaaS) Adoption as a Strategic Technology: Results of an Empirical Study

“…Most of these add other external variables to the original TAM model that are considered to be interesting for the research. Thus, it is frequently used in studies on ERP implementation and use in companies [50,52,[72][73][74][75][76][77][78][79][80][81][82], applications for e-commerce [83], file digitization systems [84], Internet banking [85], mobile social gaming [86], and e-learning platforms [62,[87][88][89][90], among many other sectors.…”