Investigating the Acceptance of Mobile Library Applications with an Extended Technology Acceptance Model (TAM)

Rafique, Hamaad; Almagrabi, Alaa Omran; Shamim, Azra; Anwar, Fareeha; Bashir, Ali Kashif

doi:10.1016/j.compedu.2019.103732

Cited by 316 publications

(245 citation statements)

References 38 publications

Supporting

Mentioning

214

Contrasting

Unclassified

Order By: Relevance

“…For the first three hypotheses, the focus was on the factors of PEU and PU. The hypotheses seem to be consistent with previous studies, that is, the fact that usefulness of Google Meet is governed by its of ease of use seems to be agreed upon by much prior research where colleges and universities were encouraged to focus on the factors of usefulness and ease of use (Martín-García et al, 2019;Rafique et al, 2020). For the fourth hypothesis, where SN factor was investigated, the results have shown that peer's opinions have an effective role in creating an influential educational environment.…”

Section: Discussionsupporting

confidence: 83%

Fear from COVID-19 and technology adoption: the impact of Google Meet during Coronavirus pandemic

Al-Maroof

Salloum

Hassanien

et al. 2020

Interactive Learning Environments

199

128

View full text Add to dashboard Cite

This study seeks to explore the effect of fear emotion on students' and teachers' technology adoption during COVID-19 pandemic. The study has made use of Google Meet© as an educational social platform in private higher education institutes. The data obtained from the study were analyzed by using the partial least squares structural equation modeling (PLS-SEM) and machine learning algorithms. The main hypotheses of this study are related to the effect of COVID-19 on the adoption of Google Meet as COVID-19 rise s various types of fear. During the Coronavirus pandemic, fear due to family lockdown situation, fear of education failure and fear of losing social relationships are the most common types of threat that may face students and teachers/educators. These types of fears are connected with two important factors within TAM theory, which are: perceived ease of use (PEOU) and perceived usefulness (PU), and with another external factor of TAM, which is subjective norm (SN). The results revealed that both data analysis techniques have successfully provided support to all the hypothesized relationships of the research model. More interesting, the J48 classifier has performed better than the other classifiers in predicting the dependent variable in most cases.

show abstract

Section: Discussionsupporting

confidence: 83%

Fear from COVID-19 and technology adoption: the impact of Google Meet during Coronavirus pandemic

Al-Maroof

Salloum

Hassanien

et al. 2020

Interactive Learning Environments

199

128

View full text Add to dashboard Cite

show abstract

“…Several previous studies on the TAM have revealed the consistent results in which perceived usefulness has strongly influenced the intention to use technology. TAM postulates that perception of usefulness is affected by perceived ease of usage since the easier it is to use a system; it can be the more useful [26]. Understanding the determinants of perceived ease of usage would enable intervention in the business, thereby making it possible to augment the adoption and usage of innovation.…”

Section: A Research Model and Hypotheses Developmentmentioning

confidence: 99%

Investigating the Adoption of Digital Payment System through an Extended Technology Acceptance Model: an Insight from the Indonesian Small and Medium Enterprises

Najib¹,

Fahma²

2020

Int. J. Adv. Sci. Eng. Inf. Technol.

View full text Add to dashboard Cite

Digitalization in the payment system has been promoted by the Indonesian government since the government is targeting to become the largest digital economy in Southeast Asia. However, not all companies can adopt digital payments quickly. Small and Medium Enterprises (SMEs) have many obstacles to adopt innovative technologies, mainly due to a lack of knowledge and resources. On the other hand, many consumers are getting used to digital payments and demanding SMEs to facilitate their transaction processes with digital payment systems. Therefore, the primary purpose of this study is to analyze factors affecting the digital payment system adoption in SMEs, particularly small and medium-sized restaurants. It used an extended Technology Acceptance Model (TAM) as a theoretical framework. Thus, 120 data were gathered using self-administered questionnaires from owners or managers of small and medium-sized restaurants in Bogor, Indonesia. Structural Equation Modeling with Partial Least Square (SEM-PLS) was employed to assess the hypotheses that were developed. The findings suggested that the intention to use digital payment was determined by the perceived ease of usage, perceived usefulness, attitude towards digital payment, and trust. This research approved that the applicability of TAM with the inclusion of additional variables in the model and the adoption of the digital payment system in small and medium-sized restaurants in developing countries like Indonesia. It offers valuable information for policymakers and financial institutions such as banks in understanding the critical variables influencing large scale implementation of the digital payment system in Indonesia.

show abstract

“…Vehicle speed and position can be visualized using ONE Simulator [28]. Routing decisions are conducted using estimation time [29]. The source node generates a message bundle and searches for a node to carry that message bundle.…”

Section: Methodsmentioning

confidence: 99%

DesCom: Routing Decision using Estimation Time in VDTN

Ali¹,

Li²,

Tanveer³

et al. 2019

IJACSA

View full text Add to dashboard Cite

VDTN was proposed as a disrupting network which is established on the paradigm of the delay-tolerant network. VDTN uses vehicular nodes to convey messages as, it permits sparse opportunistic network connectivity, which is considered by the low node density where the vehicular traffic is sporadic, and no end-to-end paths exist between nodes. The message bundle is directed from the sender to the receiver node based on the routing protocol decision. While Routing protocols take decisions based on different metrics like Time to live, Location, Remaining Buffer Size, meeting probability, etc. In this paper, a routing protocol named DesCom is proposed for Vehicular Delay-Tolerant Network under a highly suppressed and sparse environment. DesCom takes the decision based on Message TTL, Transmission rate, and Estimation time. Estimation time is calculated in our previous work. The protocol defines whether to direct the message to the requested node or search the other more suitable node to carry that data bundles. After compiling multiple simulations with different numbers of vehicles and comparing DesCom with other routing protocols it is concluded that DesCom has the least buffer time with low latency along with good delivery probability.

show abstract

Investigating the Acceptance of Mobile Library Applications with an Extended Technology Acceptance Model (TAM)

Cited by 316 publications

References 38 publications

Fear from COVID-19 and technology adoption: the impact of Google Meet during Coronavirus pandemic

Fear from COVID-19 and technology adoption: the impact of Google Meet during Coronavirus pandemic

Investigating the Adoption of Digital Payment System through an Extended Technology Acceptance Model: an Insight from the Indonesian Small and Medium Enterprises

DesCom: Routing Decision using Estimation Time in VDTN

Contact Info

Product

Resources

About