The Role Of End-User Training In Technology Acceptance

Marshall, Bryan; Mills, Robert J.; Olsen, David

doi:10.19030/rbis.v12i2.4384

Cited by 17 publications

(8 citation statements)

References 18 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Similarly, a study conducted by (Marshall, Mills, and Olsen 2008) in order to identify the effect of end-user training on the performance expectancy. The results reported that end-users' training about how to comply with the developed security policies has a positive relationship with the performance expectancy.…”

Section: Performance Expectancymentioning

confidence: 99%

“…(Šumak, Polančič, and Heričko 2010) stated that performance expectancy directly affects behavioural intentions towards use of Moodle, but this study is biased towards students who have already technical skills for using the tool. (Engotoit et al 2016) Similarly, a study conducted by (Marshall, Mills, and Olsen 2008) in order to identify the effect of end-user training on the performance expectancy. The results reported that end-users' training about how to comply with the developed security policies has a positive relationship with the performance expectancy.…”

Section: Performance Expectancymentioning

confidence: 99%

See 1 more Smart Citation

Examining the Impact of Technical Controls, Accountability and Monitoring towards Cyber Security Compliance in E-government Organisations

Alqahtani¹,

Braun²

2021

Preprint

View full text Add to dashboard Cite

IT infrastructure and systems are made up of technical as well as social systems that work in alliance to ensure that organization's goals and objectives are met. Security controls and measures are developed and used to guard data and information systems of the organization. The breaches of Cyber security are primarily caused by the misuse of information systems and failure to comply with cyber security measures. Cyber security non-compliance is a major concern for organizations. For effective compliance and human acceptance of cyber security technology and complying with cyber practices, it is essential to ascertain, research, and examine the factors which contribute to the compliance and implementation of cyber security. This study has utilized an enhanced UTAUT2 i.e. Unified Theory of Acceptance and Use of Technology 2 model and assessed its relationship with cyber security compliance. Five new formal and informal factors that affect cyber security compliance in organizations are identified and evaluated. The research questions addressed are: how the formal factors of technical measures; accountability; monitoring and evaluation impact employee's behaviour towards cyber security compliance. The study comprises a correlational survey of employees working at e-government organizations in Saudi Arabia. Results indicate that there is a significant role play by technical measures; accountability; monitoring and evaluation, on employee attitudes and behaviour towards cyber security compliance.

show abstract

Section: Performance Expectancymentioning

confidence: 99%

Section: Performance Expectancymentioning

confidence: 99%

Examining the Impact of Technical Controls, Accountability and Monitoring towards Cyber Security Compliance in E-government Organisations

Alqahtani¹,

Braun²

2021

Preprint

View full text Add to dashboard Cite

show abstract

“…A number of recent studies in a wide variety of research domains have applied the UTAUT model, including mobile banking implementations (Sangle and Awasthi, 2011;Zhou, 2012), wireless communications (Anderson and Schwager, 2004), organisational learning systems (Wong and Huang, 2011), and training in healthcare systems (Marshall et al, 2008). Figure 2 shows the hypothesised model used in this study.…”

Section: Conceptual Frameworkmentioning

confidence: 99%

Virtual teamwork training: factors influencing the acceptance of collaboration technology

Godin

Leader

Gibson

et al. 2017

IJICT

Self Cite

View full text Add to dashboard Cite

Abstract:The purpose of this study was to identify the factors that influence the acceptance of electronic collaboration technology by higher education students and that influence their predicted usage of the technology for virtual team collaboration. The research combined the unified theory of acceptance and usage of technology (UTAUT) with a virtual team-training model. All 108 participants completed a survey following their participation in virtual team 6 J. Godin et al.training. Ten hypotheses were tested using a structural equation modelling technique, partial least squares. Five of the hypotheses were supported and five were not supported. The results indicated that three of the four UTAUT constructs were significant in predicting whether the participants would use the collaboration technology in the future. Additionally, the findings revealed that the participants had a positive perception of the virtual teamwork training.

show abstract

“…These studies have included an examination of organizational learning systems (Wong and Huang, 2011), mobile banking implementations (AbuShanab and Pearson, 2007;Zhou, 2012), 3G mobile communication (Mardikyan et al, 2012;Wu et al, 2012) and wireless communications (Anderson and Schwager, 2004). Furthermore, the UTAUT has been adopted as the theory to examine the acceptance by students of blackboard technology as indicated by Marchewka and Kostiwa (2014); Pynoo et al (2011) applied UTAUT to measure the level of acceptance and utilization of a digital learning environment by secondary school teachers, and UTAUT has been adopted as the theoretical framework to examine training in health care systems (Marshall et al, 2011).…”

Section: Unified Theory Of Acceptance and Use Of Technology (Utaut)mentioning

confidence: 99%

Understanding intention to use mobile learning: a perspective of the extended unified theory of acceptance and use of technology

Ali

Arshad

2016

Int. j. adv. appl. sci.

View full text Add to dashboard Cite

The objective of this research paper is to gain a better understanding of the intention of students to take up mobile learning (m-learning) through an examination made on the underlying basis of the unified theory of acceptance and use of technology (UTAUT). There are a number of factors influencing the acceptance of m-learning, such as: technology factors (including effort expectancy and performance expectancy); implementation environment factors (facilitating conditions and social influence); and individual factors (self-regulation and self-efficacy). Ultimately, the findings of the research could enrich the student experience by giving schools a tool to better understand those factors impacting on the students' ability to effectively utilize m-learning; thereby allowing schools to adapt their programs to enhance learning by way of the usage of m-learning. From the review of the literature and subsequent to the factors identified as mentioned above, a research model has been proposed. The model has the ability to enhance the current level of understanding as to the motivating factors influencing students' motivation to utilize m-learning. This enhanced level of understanding can assist efforts to encourage and provide support for m-learning.

show abstract

The Role Of End-User Training In Technology Acceptance

Cited by 17 publications

References 18 publications

Examining the Impact of Technical Controls, Accountability and Monitoring towards Cyber Security Compliance in E-government Organisations

Examining the Impact of Technical Controls, Accountability and Monitoring towards Cyber Security Compliance in E-government Organisations

Virtual teamwork training: factors influencing the acceptance of collaboration technology

Understanding intention to use mobile learning: a perspective of the extended unified theory of acceptance and use of technology

Contact Info

Product

Resources

About