Integration of UTAUT model in internet banking adoption context

Rahi, Samar; Mansour, Majeed Mustafa Othman; Alghizzawi, Mahmoud; Alnaser, Feras Mi

doi:10.1108/jrim-02-2018-0032

Cited by 207 publications

(136 citation statements)

References 68 publications

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“…The third and fourth constructs of UTAUT were http://mmi.fem.sumdu.edu.ua/en also significant. Results showed that social influence and facilitating condition had positive and significant influence on intention to adopt technology and in line with several previous studies (Brown et al, 2010;Ling Keong et al, 2012;Martins et al, 2014;Rahi, 2019;Venkatesh et al, 2003b;Venkatesh et al, 2012).…”

Section: Figure 3 Path Coefficients and T-valuessupporting

confidence: 91%

The Impact of Task Technology Fit on Employee Job Performance

Bader

Yamin

2019

MMI

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In today’s dynamic global business economy, the use of information technology has become an essential and pervasive technique for organizational success. In this essence, the present study extends the unified theory of acceptance and use of technology with task technology fit to see how underpinned factors impact on employee intention to adopt information technology and enhance employee job performance. In order to test the proposed research model, the respondent’s observations are required. Therefore, an administrative survey was conducted towards Saudi public organizations. A survey questionnaire was distributed among middle-level managers working in HR departments of Saudi Public organizations. In response to administrative survey 398 questionnaires were returned with a response rate of 79.6%. Among 398 questionnaires 38 were discarded due to inappropriate answers and 358 questionnaires were finally used for structural equation modelling. The inclusion criterion was that HR managers must have knowledge about online services offering by respective organizations to employees. For data analysis, structural equation modelling approach was used. Results indicate that the extended the unified theory of acceptance and use of technology model has substantial power and explained 77.0% variance in employee intention to adopt the technology. The effect size analysis showed that within extended model effort expectancy was the most important factor. The predictive relevance of the model was also adequate. Finally, importance of performance matrix analysis suggested that managers and policymakers should focus on effort expectancy, task characteristics, technology characteristics and supervisor support to boost employee intention to adopt technology and employee job performance. Keywords: employee job performance, innovation valance, intention to adopt technology, moderating analysis, structural equation modelling, supervisory support.

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Section: Figure 3 Path Coefficients and T-valuessupporting

confidence: 91%

The Impact of Task Technology Fit on Employee Job Performance

Bader

Yamin

2019

MMI

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“…MSMEs will have a firm intention to adopt a mobile accounting app if they consider that using a mobile accounting app is easy. The positive effect of effort expectancy on information technology adoption intentions has been confirmed by several studies, such as Sultana (2019), Rahi, Mustafa, Mansour, Alghizzawi, & Alnaser, (2019) and Escobar-Rodriguez & Carvajal-Trujillo, (2014). The first hypothesis of this research is: H1: MSME owners with higher effort expectancy will have a higher intention to adopt mobile accounting app Performance expectancy is the extent an individual believes that his or her task performance would be improved through the usage of particular information technology (Venkatesh et al, 2003).…”

Section: Introductionsupporting

confidence: 56%

Determinants of Mobile Accounting App Adoption by Micro, Small, and Medium Enterprise in Indonesia

Kholid

Alvian²,

Tumewang³

2020

jasf

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This study figured out the factors that influence Micro, Small, and Medium Enterprises (MSMEs) in Indonesia to adopt a mobile accounting application as a tool to record business transactions and to prepare financial reports. This research applies the Unified Theory of Acceptance and Use of Technology (UTAUT) with two additional variables, namely perceived risk and perceived trust. Using a combination of purposive, convenience, and snowball sampling techniques, this study distributed questionnaires to MSME owners in Indonesia who know the mobile accounting app. Following that, this study uses the Partial Least Square- Structural Equation Model (PLS-SEM) to analyze the data obtained and to confirm the significance of the causality relationship. Effort expectancy, performance expectancy, social influence, and perceived trust have a significant positive effect on the intention to adopt a mobile accounting app. The study provides knowledge of the factors that influence MSME owners' intentions to choose a mobile accounting app which might help app providers to develop strategies to meet the expectation of MSME owners. This study merely examines the intention to adopt a mobile accounting app, hence further study could examine the user's intention to continue using the mobile accounting app, by using the longitudinal data collection.

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“…For statistical analysis product indicator approach is adopted. Product indicator approach is adequate as it produce highest robustness RAHI, Othman Mansour, Alghizzawi, & Alnaser, 2019). Earlier studies have confirmed that product indicator approach revealed highest robustness (Ghani et al, 2017;Samar & Mazuri, 2019).…”

Section: Moderating Analysismentioning

confidence: 90%

Examining the role of transformational leadership and entrepreneurial orientation on employee retention with moderating role of competitive

Yamin¹

2020

10.5267/j.msl

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This study aims to investigate employee motivational and environmental factors and their effects on employee retention and organizational performance. Employee retention is predicted by organizational environment, intrinsic motivation, organizational learning, knowledge management, entrepreneurial orientation, external connect and explained R 2 =76.3% of the variance in employee retention. Therefore, organizational performance is predicted by competitive advantage and employee retention and explained R 2 =19.9% of the variance in organizational performance. Effect size analysis indicates that intrinsic motivation had substantial effect on size when compared with other exogenous variables. The predictive relevance of the model was found substantial revealed Q 2= 40.5% relevance to predict employee retention. The moderating role of the competitive advantage was confirmed and directs that the positive relationship between employee retention and organizational performance will be stronger when competitive advantage is higher. Finally, results showed that intrinsic motivation had the highest importance level when compared with other constructs. Therefore, manager and policy makers should take into consideration intrinsic motivation and transformational leadership in order to boost employee retention and organizational performance.

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Integration of UTAUT model in internet banking adoption context

Cited by 207 publications

References 68 publications

The Impact of Task Technology Fit on Employee Job Performance

The Impact of Task Technology Fit on Employee Job Performance

Determinants of Mobile Accounting App Adoption by Micro, Small, and Medium Enterprise in Indonesia

Examining the role of transformational leadership and entrepreneurial orientation on employee retention with moderating role of competitive

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