scholarly journals Proposed M-learning Model based on Two Models (Technology Acceptance Model and DeLone and McLean IS success Model)

2016 ◽  
Vol 142 (4) ◽  
pp. 5-10
Author(s):  
Ammar Khader
2020 ◽  
Vol 5 (02) ◽  
pp. 124-133
Author(s):  
T. Husain

Radio Frequency Identification (RFID) is a radio frequency based on identification technology which is a revolution of tracking identification of goods or product tracking in the form of chips with wireless antennas on an object. This research aims to reconfirm the Technology Acceptance Model (TAM) through perceived usefulness and perceived ease-of-use as well as system quality in the DeLone and McLean Models on E-Toll end-user's satisfaction in electronic transaction services. The research type using a quantitative approach with questionnaires as a means of data collection. The number of samples counted by 11 respondents. The data analysis methods using moderated regression by Stata/MP 14.0 through, a test of the quality instrument, classical assumption test, and hypothesis test. The findings represent that the Technology Acceptance Model (TAM) and the IS Success Model prove significant influence as a pure moderator with an increase in the Adjusted R-Square score of 30.07 percent. The Attitude variables only prove the effect of Perceived Ease-of-Use on Satisfaction. The research implication of the Technology Acceptance Model (TAM) and the IS Success Model testing can provide recommendations for academics, especially regarding the end-users of the Integrated RFID System.


Author(s):  
Mohammed AL-Zahrani

The electronic government (E-Gov) Systems are currently getting recognized as an authentic strategically tool in delivering E-services. Considering the development of information system (IS) as well as the expanding of the internet-based applications in KSA, E-Gov has always been a significant aspect in delivering governmental services. This research has adopted the (IS) success model by both DeLone and McLean (D&M), moreover, it adopted technology acceptance model (TAM) with cybersecurity factors, both models were implemented to discover the status of the IS success then investigate cybersecurity aspects that impact the service efficiency and effectiveness in KSA. Consequently, this research aims to create a model to investigate the IS success model along with cybersecurity factors that influence E-Gov services effectiveness and usage. Therefore, a survey has been applied as the major data gathering approach; the survey has been distributed among 211 users of E-Gov services consistently. Moreover, all research findings were attained through a quantitative method using the structural equation modelling (SEM). Findings revealed that the constructs fundamental of the (IS) success model are strongly influencing users' satisfaction (US) of the E-Gov services; correspondingly, the fundamental constructs factors of cybersecurity with TAM appear to have a strong impacts on perceived risk (PR), in addition, both which affect the E-Gov services towards usage and effectiveness.


2019 ◽  
Vol 15 (2) ◽  
pp. 215-235 ◽  
Author(s):  
Yung-Ming Cheng

Purpose This study aims to propose a hybrid model based on expectation–confirmation model (ECM), DeLone and McLean IS success model and task-technology fit (TTF) model to examine whether quality factors and TTF as the antecedents to user beliefs can affect organizational users’ continuance intention of cloud enterprise resource planning (ERP). Design/methodology/approach Sample data for this study were collected from end-users of cloud ERP working in companies in Taiwan. A total of 370 questionnaires were distributed in the 37 sample companies, and 315 (85.1 per cent) usable questionnaires were analyzed using structural equation modeling in this study. Findings This study’s findings indicated that users’ perceptions of system quality, information quality and TTF all contributed significantly to their satisfaction, confirmation and perceived usefulness (PU) of cloud ERP, which in turn directly or indirectly led to their continuance intention of cloud ERP; that is, the results strongly supported the hybrid model integrating ECM, DeLone and McLean IS success model and TTF model with all hypothesized links being significant. Originality/value Empirically, this study’s research model capturing ECM, DeLone and McLean IS success model and TTF model has significantly shed light on the possible formulation of a richer post-adoption model. Noteworthily, considerably more attention should be paid to the fit between information-related characteristics and cloud ERP users’ work goals and needs, while TTF, based on both system-related and information-related technology characteristics, significantly contributes to users’ satisfaction, confirmation and PU, which together directly or indirectly explain their intention to continue using cloud ERP.


Author(s):  
Ultan Sharkey ◽  
Murray Scott ◽  
Thomas Acton

This research addresses difficulties in measuring e-commerce success by implementing the DeLone and McLean (D&M) model of IS success (1992, 2003) in an e-commerce environment. This research considers the influence of quality on e-commerce success by measuring the information quality and system quality attributes of an e-commerce system and the intention to use, user satisfaction and intention to transact from a sample of respondents. This research provides an empirical e-commerce application of the updated IS success model proposed by DeLone and McLean (2003). This paper found significant relationships between Information Quality and System Quality and three success dimensions: intention to use, user satisfaction and intention to transact. It found the following constructs to be most important in predicting success: ease of understanding, personalisation and reliability. In particular, that reliability is more important than usability where transactions are concerned and security though important, is not the most important factor.


Author(s):  
Murray E. Jennex ◽  
Lorne Olfman

This paper describes a knowledge management, KM, Success Model that is derived from observations generated through a longitudinal study of KM in an engineering organization, KM success factors found in the literature, and modified by the application of these observations and success factors in various projects. The DeLone and McLean (1992, 2003) IS Success Model was used as a framework for the model as it was found to fit the observed success criteria and it provided an accepted theoretical basis for the proposed model.


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