scholarly journals Performance Expectancy, Effort Expectancy, and Facilitating Conditions as Factors Influencing Smart Phones Use for Mobile Learning by Postgraduate Students of the University of Ibadan, Nigeria

10.28945/4085 ◽  
2018 ◽  
Vol 14 ◽  
pp. 095-115 ◽  
Author(s):  
sodiq onaolapo ◽  
Olawale Oyewole

Aim/Purpose: This study examines the influence of Performance Expectancy (PE), Effort Expectancy (EE), and Facilitating Conditions (FC) on the use of smart phones for mobile learning by postgraduate students in University of Ibadan, Nigeria. Background: Due to the low level of mobile learning adoption by students in Nigeria, three base constructs of the Unified Theory of Acceptance and Use of Technology (UTAUT) model were used as factors to determine smart phone use for mobile learning by the postgraduate students in the University of Ibadan. Methodology: The study adopted a descriptive survey research design of the correlational type, the two-stage random sampling technique was used to select a sample size of 217 respondents, and a questionnaire was used to collect data. Descriptive statistics (frequency counts, percentages, mean, and standard deviation), test of norm, and inferential statistics (correlation and regression analysis) were used to analyze the data collected. Contribution: The study empirically validated the UTAUT model as a model useful in predicting smart phone use for mobile learning by postgraduate students in developing countries. Findings: The study revealed that a significant number of postgraduate students used their smart phones for mobile learning on a weekly basis. Findings also revealed a moderate level of Performance Expectancy (𝑥 =16.97), Effort Expectancy (𝑥 =12.57) and Facilitating Conditions (𝑥 =15.39) towards the use of smart phones for mobile learning. Results showed a significant positive relationship between all the independent variables and use of smart phones for mobile learning (PE, r=.527*; EE, r=.724*; and FCs, r=.514*). Out of the independent variables, PE was the strongest predictor of smart phone use for mobile learning (β =.189). Recommendations for Practitioners: Librarians in the university library should organize periodic workshops for postgraduate students in order to expose them to the various ways of using their smart phones to access electronic databases. Recommendation for Researchers: There is a need for extensive studies on the factors influencing mobile technologies adoption and use in learning in developing countries. Impact on Society: Nowadays, mobile learning is increasingly being adopted over conventional learning systems due to its numerous benefits. Thus, this study provides an insight into the issues influencing the use of smart phones for mobile learning by postgraduate students from developing countries. Future Research: This study utilized the base constructs of the UTAUT model to determine smart phone use for mobile learning by postgraduate students in a Nigerian university. Subsequent research should focus on other theories to ascertain factors influencing Information Technology adoption and usage by students in developing countries.

Author(s):  
Khalizul Khalid Et.al

The 21st-century learning demands for teachers to become a central agent in fostering various skills to students. Concurrently, teachers were also encouraged to utilize ICT in scaling up learning quality. In support of this initiative, this study introduced a crowdsourcing platform called Krumun.org developed specifically for Malaysian teachers. This exam-building crowdsourcing platform enables teachers to create, edit, and share assessment instruments. However, whether teachers will use the platform will depend on their acceptance of this new technology. Therefore, the main objective of the study is to determine teachers' acceptance factors in regards to the use of this crowdsourcing platform through the Unified Theory of Acceptance Use Technology (UTAUT) model. Questionnaires were distributed to 155 teachers who participated in Krumun.org trial launch. Partial least squares (PLS) was employed to analyze the research model through Smart-PLS 3. It is conclusive that performance expectancy (PE), self-efficacy (SE), and facilitating conditions (FC) affect behavioral intention to accept the crowdsourcing platform, Krumun.org. However, there was not enough evidence to support Effort Expectancy. Therefore, to increase the number of teachers utilizing this platform, these three factors should be prioritized. The findings of the study could also be of assistance to any related party that was planning to introduce new technology to teachers.


SAGE Open ◽  
2020 ◽  
Vol 10 (3) ◽  
pp. 215824402094185
Author(s):  
Liyong Wan ◽  
Shoumei Xie ◽  
Ai Shu

This study tries to propose a unified model integrating the unified theory of acceptance and use of technology (UTAUT) model, task–technology fit (TTF) model, and user satisfaction to investigate the determinants that affect university students’ continued intention of using massive open online courses (MOOCs). Based on the data of a survey on 464 respondents, structural equation modeling is adopted to assess the model. The results reveal that performance expectancy, effort expectancy, social influence, and user satisfaction are the crucial predictors of university students’ continued intention. TTF has an indirect influence on continued intention through user satisfaction. Performance expectancy is affected both by effort expectancy and TTF. Facilitating conditions do not directly influence continued intention; however, they present indirect influences in that they play a mediating role for user satisfaction. The findings help researchers and practitioners to attain a better understanding of university students’ continued usage intention of MOOCs. The implications and limitations of this study are also described.


2019 ◽  
Vol 4 (15) ◽  
pp. 01-15 ◽  
Author(s):  
Dave T. Morales ◽  
Fernando L. Trinidad

The changing consumer behaviour all over the world has resulted in the shift of businesses into becoming client-centric. Clients nowadays want convenience, faster processes, seamless transactions, and instant service. The banking sector is not excused with these changes. In fact, bank clients want the same; bank services at the tip of their fingertips. So how should banks respond to these growing demands of clients? Involving technology in bank operations will ensure faster, more convenient, and more seamless transactions as this allows clients to access bank services anytime and anywhere. This study particularly paid attention to the digitization of mortgage banking using the UTAUT model to better understand its acceptability among its clients. The empirical results found that the determinants of behavioural intention to accept digital mortgage device among mortgage clients were facilitating conditions, performance expectancy and effort expectancy. Furthermore, results revealed that performance expectancy is directly related to internet time, frequency of product purchase using a mobile device and use of mobile banking.


2019 ◽  
Vol 15 (3) ◽  
pp. 198
Author(s):  
Nur Nabihah Mohd Nizar ◽  
Mohd Khairezan Rahmat ◽  
Siti Zuraida Maaruf ◽  
Siti Maftuhah Damio

Augmented reality (AR) is one type of learning process that can be applied through mobile learning known as mobile augmented reality. AR offers an innovative learning space through an active interaction of superimposing digital contents into the real context to enhance learning experiences. Previous studies have found that AR in education is able to lead students to achieve higher levels of engagement in the learning process. In contrast, the potential of AR in education has not been explored intensively. Therefore, this article is to look into factors that might influence pre-service teachers' use behaviour of Mobile Augmented Reality Learning Cardiovascular (MARLCardio). A self-designed MARLCardio app has been used as an experimental instrument in collecting data. The influencing factors towards use behaviour of MARLCardio are performance expectancy, effort expectancy, social influence and facilitating conditions. This study is a part of an on-going research. In this study, a total of 75 respondents used MARLCardio app before answering a survey questionnaire. The respondents were pre-service teachers at one public university in Malaysia. All data from the questionnaire were analysed using multiple regression analysis. As a result of this investigation, findings showed that effort expectancy is the dominant factor in determining the use behaviour of MARLCardio. Interestingly, performance expectancy did not show any significant relationship. KEYWORDS: Augmented Reality, Mobile Augmented Reality, UTAUT Model, Technology Adoption Model, Use Behaviour


2018 ◽  
Vol 7 (3.7) ◽  
pp. 104
Author(s):  
Zaidatul Shakila Mohamad Ashari ◽  
Nurhazirah Azmi ◽  
Yanti Yaacob ◽  
Siti Hajar Noor Alshurdin ◽  
Kim Fatt Low

Integration of Edmodo, a social network educational platform allows educators-students to communicate, being in real-time discussion and collaborate in a significant approach. Edmodo yet, is still not dominant in Malaysia educational practices. The purpose of this research is to determine the students’ interaction behavior in learning by addition of Edmodo as subsidiary tool in Biology using Unified Theory of Acceptance and Use of Technology (UTAUT) as theoretical framework. Sample of study consists of 74 undergraduate students who were registered in Biology code. Self-access learning module was given to the samples for 2 consecutive weeks during early semester followed by the questionnaire at the end of semester. Data has been collected using a 5 point Likert scale with the element of main construct in UTAUT. Pearson correlation and linear regression were performed to analyze the data. It was found that performance expectancy and effort expectancy exhibited positive significant effect on interaction behavior towards Edmodo, while social influence and facilitating conditions had no significant effect.    .  


Author(s):  
Verina Risky Andwika ◽  
R. Wahjoe Witjaksono

Unified Theory of Acceptance and Use of Technology (UTAUT) is a model used to describe user behavior towards the acceptance of information technology. UTAUT is a development of eight previous leading theories. UTAUT has four constructs that can be a significant direct determinant of behavioral intention and use behavioral, ie performance expectancy, effort expectancy, social influence, and facilitating conditions. This model is then used to analyze user acceptance of Enterprise Resource Planning (ERP) at PT Wijaya Toyota Dago. ERP is a system that can help companies to integrate one process with another process, in order to achieve company goals. This research will explain about the relation of factors influencing acceptance and usage of ERP by using UTAUT model. This research is an explanative research with data analysis technique using PLS (Partial Least Square). Data obtained comes from respondents who are employees of After Sales function of PT Wijaya Toyota Dago, data obtained by way of distributing the questionnaire tertuup. The sample size in this study was 37 resondents and analyzed using SPSS and SmartPLS applications. The analysis results are as follows: (1) Variable Performance Expectancy (PE) has a positive and significant influence on Behavioral Intention (BI); (2) Variable Effort Expectancy (EE) has a positive and significant influence on Behavioral Intention (BI);(3) Social Influence Variables (SI) have a positive and significant influence on Behavioral Intention (BI); (4) Variable Facilitating Conditions (FC) has a positive and significant influence on Use Behavior; (5) Social Influence (SI) variable has positive but not significant influence on Behavioral Intention (BI).


2021 ◽  
Vol 10 (4) ◽  
pp. 1697-1710
Author(s):  
Zulherman*, Farah ◽  
Farah Mohamad ◽  
Darmawan Napitupulu ◽  
Siti Nazuar ◽  
Liszulfah Roza

<p style="text-align: justify;">The primary goal of this study is to explore what makes teachers accept Google Classroom (GCR). GCR platform is an emerging technology that could support online learning activities by offering outstanding benefits such as usability, flexibility, and task adaptability. Many of the students in Indonesia have al-ready used the GCR platform since the government has tried to provide it as a free online learning tool to support learning activities during the pandemic. However, there is limited understanding of users' behavior, especially Indonesian students' acceptance of the GCR platform. The model is tested by administering the online questionnaire to 261 university students in Indonesia. The extended Unified Theory of Acceptance and Use of Technology Model (UTAUT) model has been applied to observe users’ acceptance of GCR. The result Performance expectancy (PE), Effort expectancy (EE) Social Influence (SI), Facilitating Conditions (FC), Trust of Internet (TI) and Trust of Government (TG) considerably affected users’ intention to use the GCR. Moreover, Trust of Internet (TI) and Trust of Government (TG) also knowingly impacted Performance expectancy (PE).</p>


2020 ◽  
Vol 7 (5) ◽  
pp. 1021
Author(s):  
Rian Piarna ◽  
Ferdi Fathurohman

<p class="Abstrak">Penelitian ini berfokus pada konsumen milenial yang melakukan belanja online produk UMKM pada e-commerce. Konsumen milenial yang semakin meningkat menjadi peluang bagi UMKM dalam target pemasaran dengan mengetahui bagaimana perilaku dalam berbelanja online. Penelitian ini bertujuan untuk mengkonfirmasi adanya hubungan positif dan signifikan antara (1) <em>performance expectancy, </em>(2) <em>effort expectancy</em>, (3) <em>social influence</em>, (4) <em>facilitating condition</em>, (5) <em>hedonic motivation</em>, (6) <em>price value </em>dan (7)<em> habit </em>terhadap <em>behavioral intention</em>. Adanya hubungan positif dan signifikan antara (8) <em>facilitating condition </em>dan (9) <em>habit</em> terhadap <em>use behavior</em>. Serta hubungan positif dan signifikan antara (10)  <em>behavioral intention</em> berpengaruh signifikan terhadap <em>use behavior</em>. Pada hasil penelitian juga khusus melihat bagaimana usia sebagai variabel moderator mempengaruhi dalam adopsi penggunaan <em>e-commerce</em>. Metode pada penelitian ini  menerapkan model <em>Unified Theory of Acceptance and Use of Technology </em>(UTAUT) yang berfokus pada perilaku konsumen. Sampel dalam penelitian ini sebanyak 150 responden milenial. Pengolahan data menggunakan SMART PLS. Hasilnya menunjukkan bahwa ada hubungan positif dan signifikan anatara <em>social influence</em> dan <em>habit </em>terhadap <em>behavioral intenion</em>. Ada hubungan positif dan signifikan anatara <em>facilitating condition </em>dan <em>habit </em>terhadap <em>use behavior</em>. Serta Ada hubungan positif dan signifikan<em> </em>pada <em>behavioral intention</em> terhadap <em>use behavior</em>. Hasil ini bisa menjadi referensi pelaku UMKM untuk mengembangkan pemasaran dengan mengggunakan media sosial karena konsumen milenial memiliki fasilitas untuk mengakses internet  dalam aktifitasnya serta mudah dipengaruhi oleh lingkungan sosialnya.</p><p class="Abstrak"> </p><p class="Abstrak"><em><strong>Abstract</strong></em></p><p class="Judul2"><em>This research focuses on millennial consumers who shop online for MSMEs products on e-commerce. Millennial consumers are increasingly becoming an opportunity for MSMEs in marketing targets by knowing how to behave online shopping. This study aims to confirm the existence of a positive and significant relationship between (1) performance expectancy, (2) effort expectancy, (3) social influence, (4) facilitating conditions, (5) hedonic motivation, (6) price value and (7) habit of behavioral intention. There is a positive and significant relationship between (8) facilitating conditions and (9) habits on use behavior. And a positive and significant relationship between (10) behavioral intention has a significant effect on use behavior. The research also specifically looks at how age as a moderating variable influences adoption of e-commerce. The method in this study applies the Unified Theory of Acceptance and Use of Technology (UTAUT) model that focuses on consumer behavior. The sample in this study were 150 millennial respondents. Data processing using PLS SMART. The results show that there is a positive and significant relationship between social influence and habit on behavioral intention. There is a positive and significant relationship between facilitating conditions and habits on use behavior. And there is a positive and significant relationship between behavioral intention and use behavior. These results can be a reference for SMEs to develop marketing by using social media because millennial consumers have the facility to access the internet in their activities and are easily influenced by their social environment.</em></p><p class="Abstrak"><em><strong><br /></strong></em></p>


2016 ◽  
Vol 8 (3) ◽  
pp. 53-70 ◽  
Author(s):  
Nabila Nisha ◽  
Mehree Iqbal ◽  
Afrin Rifat ◽  
Sherina Idrish

Electronic tax (e-Tax) filing is an emerging area of e-government. Many developed countries today have initiated tax e-filing. However, such a service is yet to establish itself as an integrated system, especially in developing countries like Bangladesh. Since it has the potential to improve the overall process of tax filing, it is important to understand the factors that can influence taxpayers' acceptance and use of e-Tax filing systems. This research thus proposes a model to identify such adoption factors in the context of Bangladesh. Findings claim that facilitating conditions, trust, effort expectancy, performance expectancy, along with individual innovativeness plays an important role in capturing taxpayers' overall perceptions of e-Tax filing services. Results overall indicate that individual taxpayers may be fairly pragmatic in developing general attitudes towards using such system in Bangladesh. Limitations and implications for practice and research are also discussed for better planning and implementation of similar e-government services.


Author(s):  
N. D. Oye ◽  
N. A. Iahad ◽  
Nor Zairah Ab Rahim

This study examines the acceptance and use of ICT by Nigerian university academicians. The model validated is the Unified Theory of Acceptance and Use of Technology (UTAUT). Using a pilot study, one hundred questionnaires were administered and collected at the University of Jos Plateau State, Nigeria. The construct was significantly correlated with behavioral intention (BI). This implies that the university ICT system makes tasks easier to accomplish, thereby making academicians more productive. The survey shows that 86.5% agree. Effort expectancy (EE) was significantly correlated with BI. The result shows that 84.3% agreed that they could use ICT. Among the four UTAUT constructs, performance expectancy exerted the strongest effect. The UTAUT model shows age effects for older workers and a stronger willingness for the younger workers to adopt new IT products. According to this study age and gender do not have significant effect on acceptance and use of ICT. Performance expectancy (PE) and Effort expectancy (EE) are found to be the most significant predictors of academic staffs’ acceptance of ICT and use.


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