Technology Acceptance Theories

Momani, Alaa M.; Jamous, Mamoun Mohamad; Hilles, Shadi M. S.

doi:10.4018/978-1-5225-5201-7.ch001

Cited by 40 publications

(38 citation statements)

References 37 publications

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“…The major goal of the TAM framework is to understand the behavioral intention of users (acceptance) toward and their actual use of a technology [ 36 , 37 ]. Davis suggested that future technology acceptance studies should focus on other principles that influence usefulness, ease of use, and user acceptance [ 37 ]. Thus, price-value, trust, and perceived risk factors were used to extend the TAM framework in this study.…”

Section: Introductionmentioning

confidence: 99%

Adoption of Mobile Health Apps in Dietetic Practice: Case Study of Diyetkolik

Akdur¹,

Aydın²,

Akdur³

2020

JMIR Mhealth Uhealth

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Background Dietetics mobile health apps provide lifestyle tracking and support on demand. Mobile health has become a new trend for health service providers through which they have been shifting their services from clinical consultations to online apps. These apps usually offer basic features at no cost and charge a premium for advanced features. Although diet apps are now more common and have a larger user base, in general, there is a gap in literature addressing why users intend to use diet apps. We used Diyetkolik, Turkey’s most widely used online dietetics platform for 7 years, as a case study to understand the behavioral intentions of users. Objective The aim of this study was to investigate the factors that influence the behavioral intentions of users to adopt and use mobile health apps. We used the Technology Acceptance Model and extended it by exploring other factors such as price-value, perceived risk, and trust factors in order to assess the technology acceptance of users. Methods We conducted quantitative research on the Diyetkolik app users by using random sampling. Valid data samples gathered from 658 app users were analyzed statistically by applying structural equation modeling. Results Statistical findings suggested that perceived usefulness (P<.001), perceived ease of use (P<.001), trust (P<.001), and price-value (P<.001) had significant relationships with behavioral intention to use. However, no relationship between perceived risk and behavioral intention was found (P=.99). Additionally, there was no statistical significance for age (P=.09), gender (P=.98), or previous app use experience (P=.14) on the intention to use the app. Conclusions This research is an invaluable addition to Technology Acceptance Model literature. The results indicated that 2 external factors (trust and price-value) in addition to Technology Acceptance Model factors showed statistical relevance with behavioral intention to use and improved our understanding of user acceptance of a mobile health app. The third external factor (perceived risk) did not show any statistical relevance regarding behavioral intention to use. Most users of the Diyetkolik dietetics app were hesitant in purchasing dietitian services online. Users should be frequently reassured about the security of the platform and the authenticity of the platform’s dietitians to ensure that users’ interactions with the dietitians are based on trust for the platform and the brand.

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Section: Introductionmentioning

confidence: 99%

Adoption of Mobile Health Apps in Dietetic Practice: Case Study of Diyetkolik

Akdur¹,

Aydın²,

Akdur³

2020

JMIR Mhealth Uhealth

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“…The level of acceptance of information technology by the user can be predicted from the attitudes and perceptions of the users of these technologies, such as the desire to add support tools or seek support such as support, motivation to continue to use, as well as the desire to affect other users. Theories and models regarding acceptance of technology has also been developed since the 1980s by a variety of variables (Momani & Jamous, 2017), In general, the variables in a variety of models that have been used are explained that intrinsic motivation, experience, and social conditions play a major role in the acceptance of the technology, so it can be generalized that the behavior (behavior) the user plays an important role in the decision making in the use of technology. Based on the review of some of the above studies, behavioral intention in this study can be defined as factors that affect the user to continue using the service GWJ application.…”

Section: Behavior Intentionmentioning

confidence: 99%

Measuring the level of community desire to use GWJ application in office activities

Marsofiyati¹,

Zain²,

Eryanto³

et al. 2020

10.5267/j.msl

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This study aims to find out the level of community desire within the university to use the Grip Work Journey (GWJ) application in office activities as an e-office application. The method used is quantitative research with data analysis techniques using Partial Least Square (PLS), and the data collection process is performed through a questionnaire. Respondents in this study were 200 people. The results of the study state that performance expectancy, effort expectancy, social influence, and security maintained positive influences on Behavioral Intention Grip Work Journey as a community office application in Jakarta State University.

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“…This study is based on the Technology Acceptance Model (TAM) propounded by Davis (1989) and advocated by Lai (2017). The TAM is an information systems theory that models how users come to accept and use a particular technology (Mugo et al, 2017;Momani & Jamous, 2017). Park (2009) argues that TAM is considered an influential extension of theory of reasoned action (TRA), according to Ajzen and Fishbein (1980).…”

Section: Technology Acceptance Model and Electronic Payment System Admentioning

confidence: 99%

“…According to TAM, one's actual use of a technology system is influenced directly or indirectly by the user's behavioural intentions, attitude, perceived usefulness of the system, and perceived ease of the system (Folkinshteyn & Lennon, 2016;Park 2009). TAM also proposes that external factors affect intention and actual use through mediated effects on perceived usefulness and perceived ease of use (Momani & Jamous, 2017;Sargolzaei, 2017). He further argues that TAM appears to be able to account for more than 50 percent of user acceptance.…”

Section: Technology Acceptance Model and Electronic Payment System Admentioning

confidence: 99%

Determinants for Effective Implementation of Electronic Payment System by Hospitals in Tanzania: A Case of the Kilimanjaro Christian Medical Centre

Mang'ana¹,

Katundu²

2018

BMH

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The era of rapid growth of the internet has witnessed the exponential growth of electronic payment systems (EPS); consequently, business transactions are constantly shifting from cash-based to electronic-based system. This paper is a product of a research conducted to explore factors that could influence effective adoption and implementation of the EPS among hospitals in Tanzania and the challenges associated with its adoption. The study used the KCMC as a case in point. The case study design was used. In this study we sampled 152 respondents randomly who included clients at the outpatient clinics of the hospital. The data were gathered using a structured questionnaire consistent with the Technology Acceptance Model (TAM). The findings suggest that the majority of the clients preferred to use EPS whereas, intention to use EPS, previous experience in the use of EPS, and being banked were significant factors influencing both preference of EPS and intention to use EPS. It is recommended that in order to hasten adoption of EPS in Tanzania it is important to address the identified barriers and also to encourage clients to keep their money in and use the services of banks.

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Technology Acceptance Theories

Cited by 40 publications

References 37 publications

Adoption of Mobile Health Apps in Dietetic Practice: Case Study of Diyetkolik

Adoption of Mobile Health Apps in Dietetic Practice: Case Study of Diyetkolik

Measuring the level of community desire to use GWJ application in office activities

Determinants for Effective Implementation of Electronic Payment System by Hospitals in Tanzania: A Case of the Kilimanjaro Christian Medical Centre

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