Adoption of Technology for Reading Purposes: A Study of E-Books Acceptance

Martins, Mateus; Farias, Josivânia Silva; Albuquerque, Pedro Henrique Melo; Pereira, Danilo Santana

doi:10.15728/bbr.2018.15.6.4

Cited by 25 publications

(26 citation statements)

References 15 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…The analysis result shows the there is significant correlation between performance expectancy and behavioral intention with t-value 2.66 (> 1.96). Martins et al 2018;Lin et al 2017;Tak and Panwar 2017).…”

Section: Hypothesis Verification Resultsmentioning

confidence: 99%

Farmers’ Behavioral Intention to Adopt Peer-To-Peer Lending Using UTAUT2 Approach

Septiani

Sumarwan

Yuliati

et al. 2020

jma

View full text Add to dashboard Cite

The limited access of smallholder farmers to funding sources is one of the main challenges facing Indonesia agriculture sector. In order to address this constraint some Fintech entities have initiated peer-to-peer (P2P) lending for funding the farming. Different from formal financial institution, farming funding P2P lending facilitates farmers by not requiring any collateral and applying profit sharing scheme instead of interest, which is in favor of smallholder farmers condition. Irrespective of the benefits, the adoption rate of farming funding P2P lending by farmers is still relatively low. Based on this background, the objective of this study is to investigate the factors influencing the behavioral intention of farmers to adopt farming funding P2P lending. This study uses variables of UTAUT2 and Schwartz Theory of Basic Values. The respondents of this research are 530 farmers in West Java, Indonesia who have and have not participated in farming funding P2P lending. The respondents are selected using purposive sampling method. The population of adopter farmers are the members of farming funding P2P lending providers Crowde and TaniFund. Whereas the non-adopter farmers are selected based on representation of various farming commodities. The data is analyzed using SEM, demonstrating the results that there are five variables showing significant correlation with behavioral intention to adopt P2P lending, which are performance expectancy, hedonic motivation, price value, habit and values.

show abstract

Section: Hypothesis Verification Resultsmentioning

confidence: 99%

Farmers’ Behavioral Intention to Adopt Peer-To-Peer Lending Using UTAUT2 Approach

Septiani

Sumarwan

Yuliati

et al. 2020

jma

View full text Add to dashboard Cite

show abstract

“…For preparation of questionnaire, we took help of literature studies and have adopted a questionnaire that was previously used for evaluating consumers' adoption of mobile technology (Shukla and Sharma 2018). Other concepts and questions were adopted from other studies as follows: Effort Expectancy and Price Valuefrom the study on the adoption of ebook technology for reading (Martins et al 2018), Perceived Riskfrom the study on adoption of virtual learning community (Xie 2017). The remaining questions were adopted from the study on mobile wireless technology adoption (Kim and Garrison 2008), from the study on the use a tablet pc for mobile learning (Asunka 2018), and from the study on the factors influencing students' acceptance of m-learning (Abu-Al-Aish and Love 2013).…”

Section: Preparation Of Questionnairementioning

confidence: 99%

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

et al. 2020

View full text Add to dashboard Cite

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.

show abstract

“…The emergence of electronic books (e-books) has changed people's reading habits and learning methods. The e-book also called digital book is the modern version of the book which has the same attributes of storing and disseminating information as a printed book, but in different format [1]. E-book is composed of reading software (program) and hardware (physical part), being able to display amounts of information and allowing navigation in a fast and practical way [9].…”

Section: A E-books and E-reading Applicationsmentioning

confidence: 99%

“…Undergraduates are increasingly inclined to acquire knowledge and information through mobile devices such as mobile phones and tablet computers, and gradually shift from traditional paper reading to electronic reading (e-reading) [1]. The e-reading APPs can meet readers' needs of reading in their spare time and become an important tool of reading behaviors on mobile devices such as mobile phones [2].…”

Section: Introductionmentioning

confidence: 99%

Exploring the Influencing Factors of Undergraduates' Continuance Intentions in e-Reading APPs (EIFUCIEA)

Lai¹,

Zhao²

2019

IJIET

View full text Add to dashboard Cite

Electronic reading (e-reading) becomes a common way of reading for undergraduates. Many e-reading applications (APPs) are designed to satisfy the readers' reading needs. But there is no such a study focus on using expectancy confirmation theory to examine undergraduates' continuance intentions (UCI) of reading APPs. Then to address this gap, this study was to investigate the influencing factors of UCI of reading APPs in a Chinese university. Based upon the EECM-IT model and DeLong &McLean (D&M) information system success model, the variables of Subjective Norm (SN) and Perceived Risk (PR) were introduced to the UCI model of e-reading and twelve hypotheses were proposed. The study adopted the confirmatory factor analysis method to examine the structural model. From data analysis, the results showed that undergraduates' expected confirmation of e-reading APPs was significantly affected by subjective norms, and significantly affected perceived ease of use, perceived risk, reading usefulness and user's satisfaction. However, satisfaction was not significantly affected by perceived risk and perceived ease of use. Subjective norms did not significantly affect continuance intentions. Additionally, there was no gender or grade difference among undergraduates' continuance intentions, which was only significantly related to their majors.

show abstract

Adoption of Technology for Reading Purposes: A Study of E-Books Acceptance

Cited by 25 publications

References 15 publications

Farmers’ Behavioral Intention to Adopt Peer-To-Peer Lending Using UTAUT2 Approach

Farmers’ Behavioral Intention to Adopt Peer-To-Peer Lending Using UTAUT2 Approach

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

Exploring the Influencing Factors of Undergraduates' Continuance Intentions in e-Reading APPs (EIFUCIEA)

Contact Info

Product

Resources

About