Factors Influencing the Behavioural Intention to use the Internet as a Teaching-Learning Tool in Home Economics

Phua, Peng Lin; Wong, Su Luan; Abu, Rosini

doi:10.1016/j.sbspro.2012.09.263

Cited by 31 publications

(28 citation statements)

References 31 publications

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“…This was because the consistency between UI elements designed based on Arabic aspects such as language, layout, colors, and buttons promoted ease of use. These findings are supported by several studies that found perceived ease of use to have a close correlation to the construct attitude in TAM [42], [62]. In addition, the result of this study is supported by other studies conducted on the role www.ijacsa.thesai.org of culture in technology design such as that of Almakky, Sahandi [63], Ishak, Jaafar [64] and Kalliny, Saran [26].…”

Section: Discussionsupporting

confidence: 86%

“…Davis [29] defined perceived usefulness (PU) as the users' belief that using a particular system will increase his or her job performance. Based on this definition, Phua, Wong, and Abu [42] found PU as a main factor of usage behaviour and intention. Subramanian [43] found that PU (not PEOU), had a direct impact on usage behaviour.…”

Section: ) Relationship Between Perceived Usefulness (Pu) and Behavimentioning

confidence: 99%

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Investigating the Acceptance of Mobile Health Application User Interface Cultural-Based Design to Assist Arab Elderly Users

Alsswey¹,

Umar²,

Bervell³

2018

ijacsa

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Mobile health (m-health) applications are a way to provide solutions to the non-availability of physical health services in the Arab world. However, end users of m-health around the world have their cultural and personal differences that distinguish them from others. Studies suggest that culture is an essential component of the success of any product or technology usage. In view of this, the study investigated acceptance towards mobile health application User Interface (UI) designed for Arab elderly users based on their culture. The TAM model formed the theoretical basis upon which a quantitative design was adopted, with a questionnaire as data collection instrument from 134 participants. The findings showed that perceived Ease of Use (PEOU) and Attitude Towards Use (ATU) had a significant positive influence on Behavioural Intention (BI) to use mobile health application User Interface. Overall, the results indicated that Arab elderly users found the mobile health application UI as acceptable due to its cultural-based design. To improve designs of mobile applications UI targeting elderly users, it is vital to gain insight into cultural aspects that influence the usability of mHealth application UI as well as insights into their personal characteristics and experiences.

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Section: Discussionsupporting

confidence: 86%

Section: ) Relationship Between Perceived Usefulness (Pu) and Behavimentioning

confidence: 99%

Investigating the Acceptance of Mobile Health Application User Interface Cultural-Based Design to Assist Arab Elderly Users

Alsswey¹,

Umar²,

Bervell³

2018

ijacsa

View full text Add to dashboard Cite

show abstract

“…It is defined as the conception of the user, that by use of the system, it would derive some benefits. PU is expected to influence Behavioural Intention (BI) of the users to adopt mobile applications (Phua et al 2012). With these inputs, the following hypothesis is formulated.…”

Section: Perceived Usefulness (Pu)mentioning

confidence: 99%

Adoption of mobile applications for teaching-learning process in rural girls’ schools in India: an empirical study

et al. 2020

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The purpose of this study is to identify the factors that can impact the adoption of mobile apps for teaching-learning process focusing on the girls' school in rural India. The hypotheses were proposed and a conceptual model has been developed. There is a survey work conducted to collect the data from different respondents using a convenience sampling method. The model has been validated statistically through PLS-SEM analysis covering feedbacks of 271 effective respondents. The study highlights the impact of different antecedents of the behavioural intention of the students of using mobile applications for teaching-learning process. The results also show that among other issues, price value has insignificant influence on the intention of the girl students of the rural India. During survey feedbacks have been obtained from the 271 respondents, which is meagre compared to vastness of the population and school of rural India. Only few predictors have been considered leaving possibilities of inclusion of other boundary conditions to enhance the explanative power more than that has been achieved in the proposed model with the explanative power of 81%. The model has provided laudable inputs to the educational policy makers and technology enablers and administrators to understand the impact of the mobile applications on the rural girls' school of India and facilitate the development of m-learning. Very few studies been conducted to explore the impact of mobile applications on the school education of rural India especially focusing on the girls' schools.

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“…According to Phua et al, 42 PU is one of the fundamental factors that impact BI directly. Davis et al 43 explain PU as the extent to which a person believes that using an online system will improve performance.…”

Section: Literature Reviewmentioning

confidence: 99%

Behavioural Intention Factors Influencing Sharing Economy Innovations: An Exploratory Research of Uber in South Africa

Molobi

Kabiraj

Siddik

2020

Metamorphosis: A Journal of Management Research

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This research explores factors associated with the use of the Uber application, a successful sharing economy innovation, in South Africa. The exploratory research adapted a technology acceptance model with two other factors, perceived risks and company characteristics on behavioural intention to utilize Uber. Using a survey data of 396 respondents, this research empirically finds that ease of use, company characteristics, attitude, perceived usefulness, and level of education have significant positive impacts on behavioural intention to use Uber applications. Meanwhile, gender and age groups have negative impacts on behavioural intention. Furthermore, the study found that perceived risk has a negative impact on behavioural intention to use Uber. The research findings are of significance for management on how user insights can be applied to take advantage of new prospects to innovate and to expand their businesses and for policymakers on how to seize the opportunities presented by such innovation and develop appropriate policy frameworks.

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Factors Influencing the Behavioural Intention to use the Internet as a Teaching-Learning Tool in Home Economics

Cited by 31 publications

References 31 publications

Investigating the Acceptance of Mobile Health Application User Interface Cultural-Based Design to Assist Arab Elderly Users

Investigating the Acceptance of Mobile Health Application User Interface Cultural-Based Design to Assist Arab Elderly Users

Adoption of mobile applications for teaching-learning process in rural girls’ schools in India: an empirical study

Behavioural Intention Factors Influencing Sharing Economy Innovations: An Exploratory Research of Uber in South Africa

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