User Acceptance of Computer Technology: A Comparison of Two Theoretical Models
TL;DR: In this article, the authors address the ability to predict peoples' computer acceptance from a measure of their intentions, and explain their intentions in terms of their attitudes, subjective norms, perceived usefulness, perceived ease of use, and related variables.
Abstract: Computer systems cannot improve organizational performance if they aren't used. Unfortunately, resistance to end-user systems by managers and professionals is a widespread problem. To better predict, explain, and increase user acceptance, we need to better understand why people accept or reject computers. This research addresses the ability to predict peoples' computer acceptance from a measure of their intentions, and the ability to explain their intentions in terms of their attitudes, subjective norms, perceived usefulness, perceived ease of use, and related variables. In a longitudinal study of 107 users, intentions to use a specific system, measured after a one-hour introduction to the system, were correlated 0.35 with system use 14 weeks later. The intention-usage correlation was 0.63 at the end of this time period. Perceived usefulness strongly influenced peoples' intentions, explaining more than half of the variance in intentions at the end of 14 weeks. Perceived ease of use had a small but significant effect on intentions as well, although this effect subsided over time. Attitudes only partially mediated the effects of these beliefs on intentions. Subjective norms had no effect on intentions. These results suggest the possibility of simple but powerful models of the determinants of user acceptance, with practical value for evaluating systems and guiding managerial interventions aimed at reducing the problem of underutilized computer technology.
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TL;DR: The results suggest that infrastructure maturity for mobile phone messaging improves intention to use, but actual use behavior relates to school policies, not teacher intention.
Abstract: Adopting two different models (TAM and UTAUT), this study explores use behavior while teachers use mobile phone messaging to communicate with parents. TAM proposes that system use is determined by behavior intention to use, which is influenced jointly by attitude toward using the system and perceived usefulness. Attitude toward using the system is determined jointly by perceived usefulness and perceived ease of use, which has a direct effect on perceived usefulness; external variables influence both perceived usefulness and perceived ease of use. Determinants of IT use in TAM and UTAUT are not identical. Therefore, both models were revised to investigate teacher behavior of adopting mobile phone messaging as a parent-teacher communication medium. All constructs in the models were modified to avoid confusing substantive differences between models with measurement. The results suggest that infrastructure maturity for mobile phone messaging improves intention to use, but actual use behavior relates to school policies, not teacher intention.
8 citations
Cites background from "User Acceptance of Computer Technol..."
...[4] introduced TAM as a TRA adaptation , the purpose of which is to provide an explanation of the determinants of technology acceptance and use....
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Proceedings Article•
01 Jan 2013TL;DR: The moderating effect of habit on the relationship between affect/cognition and intention was examined by means of a group-based regression approach and the results show opposing patterns for both groups which holds the implication that the directional impact of habit strength on this relationship is likewise opposing.
Abstract: "Planned behavior" is a widely-known paradigm used to predict individual behavior. Basing on a competing paradigm called “goal-directed automaticity”, research addressed the mutual support of both paradigms – thus the importance of habits for the continued usage. A versus between both paradigms – thus the inhibiting effect of habits on the adoption of a new system was thematized in 2012 by Polites and Karahanna. Within this research, both concepts are brought face to face by examining the results of an empirical survey of 378 County employees who were separated into adopter and non-adopter groups. Given this opposing behavioral outcome, the moderating effect of habit on the relationship between affect/cognition and intention was examined by means of a group-based regression approach. The results show opposing patterns for both groups which holds the implication that the directional impact of habit strength on this relationship is likewise opposing.
8 citations
Cites background from "User Acceptance of Computer Technol..."
...Numerous models delineating determinants of individual adoption have been developed, refined, and unified (Davis et al. 1989; Venkatesh and Brown 2001; Venkatesh and Davis 2000; Venkatesh et al. 2003) in order to explain IT usage behavior on the basis of beliefs and attitudes....
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01 Jan 2018
TL;DR: The results from surveying 117 IT professionals working in the United States with a minimum of three 3 years of experience and analyzed using Structural Equation Modelling show that free flow of information and overall cloud system quality can lead to overall information systems success.
Abstract: As cloud computing became on one of the top technology investments in public and private organizations and represents expenses of billions yearly, little research was conducted about the factors that affect the success of cloud systems. This research study investigates the impact of free flow of information, flexibility of IT infrastructure, cloud system quality, IT security, and cloud privacy concerns on the increased net benefits of cloud computing use. The intent is to extend DeLone and McLean’s Information Systems Success Theory for today’s cloud-centric information technology world and add to the body of knowledge of cloud computing adoption. The results from surveying 117 IT professionals working in the United States with a minimum of three 3 years of experience were obtained and analyzed using Structural Equation Modelling (SEM) show that free flow of information and overall cloud system quality can lead to overall information systems success.
8 citations
TL;DR: In this article, the authors examined students' acceptance of and intention to use Learning Management Systems (LMSs) for university education in Brazil using the extended technology acceptance model, unified theory of acceptance and use of technology (UTAUT), integrating quality construct adapted from the Service Quality Evaluation Model (ServQual), and investigated the behavior of the users concerning the factors that influence the technology acceptance and the intention of the use in an e-learning system.
Abstract: The use of e-learning services is growing in different contexts, especially in the COVID-19 pandemic. This study aims to examine students’ acceptance of and intention to use Learning Management Systems (LMSs) for university education in Brazil using the extended technology acceptance model, unified theory of acceptance and use of technology (UTAUT), integrating quality construct adapted from the Service Quality Evaluation Model (ServQual). Examining a large sample (n = 1237) of students in Brazil through questionnaires, we investigate the behaviour of the users concerning the factors that influence the technology acceptance and the intention of the use in an e-learning system. Results show that intention to use an LMS is affected by the facilitating conditions (skilful, workable and easy to use), social influence (remarkable, preference for use and relevance), habit (routine, enjoyable and entertaining) and quality (reliable, tangibility, responsiveness and assurance), but not for effort expectancy (agility, knowledge and productivity). Our research findings suggest fostering replicate the model in different universities and countries understanding potential differences. Practitioner notes What is already known about this topic E-learning is growing, and its success is directly related to students’ intention and retention of users. Unified theory of acceptance and use of technology (UTAUT) is an approved model that explains new system adoption and use. There are several tools to evaluate the quality of e-learning. ServQual is an approved model that explains the perceived quality service. What this paper adds The results of this research proved that facility conditions, social influence, habit and quality were the key and fundamental characteristics of Learning Management Systems. This paper provides advice for decision makers in universities who want to integrate quality in Learning Management Systems. A new validated model extending the UTAUT and ServQual models applied for acceptance, adoptions and use intention for e-learning services. E-learning resources should include quality content beyond technology facilities to increase students’ adoption and use intention successfully. Implications for practice and/or policy The paper concludes with advice for decision makers in universities who want to implement or maintain an e-learning programme. Managers must pay attention not only to the Learning Management Systems’ information technology attributes (eg, ease of use of the systems, fast access, speed of access and navigation of the systems, training, etc) but also to how to improve quality in e-learning resources like manuals, an online FAQ, forums, professor support to strengthen the acceptance and e-learning adoption. Facility conditions, social influence, habit and quality are important constructs that support students’ Learning Management System use intention. © 2021 British Educational Research Association
8 citations
TL;DR: In this paper, the authors investigated the impact levels of determinants on customers' decision to use payment services via mobile devices in Hanoi, Vietnam and found that the determinants of expected efficiency, expected effort, social impact, safety and security and supplier reputation had positive impacts on the decision of customer.
Abstract: Article history: Received: February 16, 2020 Received in revised format: March 22 2020 Accepted: March 22, 2020 Available online: March 25, 2020 This study is conducted to investigate the impact levels of determinants on customers' decision to use payment services via mobile devices in Hanoi, Vietnam. Data were collected from a survey of people living in Hanoi city of Vietnam who may or not use mobile payment services. Based on the theory of technology acceptance and use (UTAUT) developed, we design a research model with six determinants including expected efficiency, effort expectations, social impact, safety and security, perceived costs and supplier reputation. The results show that determinants of expected efficiency, expected effort, social impact, safety and security and supplier reputation (except perceived costs) had positive impacts on the decision of customer. However, the degree and order of impact varies between two groups of unused and already used customers. In particular, the determinants of effort of expectation, safety and security, reputation of suppliers had the strongest impacts on the decisions of customers in both groups in using payment services through mobile device. Based on the findings, we give suggestions for managers and service providers in developing this kind of service in Hanoi, Vietnam as a case study for emerging countries. © 2020 by the authors; licensee Growing Science, Canada
8 citations
Cites background from "User Acceptance of Computer Technol..."
...Davis et al. (1989) suggested that intention to use is the readiness of a person to adopt technology....
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"User Acceptance of Computer Technol..." refers background in this paper
...The easier a system is to interact with' the greater should be the user's sense of e 品cacy (Bandura 1982) and personal control (Lepper 1985) regarding his or her ability to carry out the sequences of behavior needed to operate the system....
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...E 品 cacy is one of the major factors theorized to underly intrinsic motivation (Bandura 1982: Lepper 1985)....
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...E 品 cacy is thought to operate autonomously from instrumental determinants ofbehavior (Bandura 1982) 、 and influences affect' effort persistence 可 and motivation due to inborn drives for competence and selιdetermination (Bandura 1982: Deci 1975)....
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