Determinants of behavioral intention to use e-textbooks: A study in Iran’s agricultural sector

Faham, Elham; Asghari, Habibollah

doi:10.1016/j.compag.2019.104935

Cited by 19 publications

(13 citation statements)

References 28 publications

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“…The independent variable has a significant effect on the dependent variable if the statistical CR value is more than 1.96. This study support [32] that attitudes towards content quality and the usefulness of information system applications have a positive impact on behavioral intention. An attitude is an antecedent of behavioral intention, ease of operation, and the perceived benefits of technology applications increased the frequency and duration of use of online applications [33].…”

Section: E Perceived Vulnerabilitysupporting

confidence: 81%

Building an Intention Model Using the Grab Health Application During the Covid-19 Pandemic

Setyawan¹,

Noe²,

Budiadi³

et al. 2020

Proceedings of the 3rd International Conference on Banking, Accounting, Management and Economics (ICOBAME 2020)

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This study aims to identify the variables that form the intention model of using the Grab Health application during the Covid-19 pandemic. The Covid-19 pandemic forces individuals to spend less at drugstores and pharmacies so that health product shopping applications have the opportunity to gain abundance. Sampling by convenience through a research questionnaire numbered 200 to meet the requirements of the Structural Equation Modeling (SEM) test. The results of this study indicate that attitudes influence the intention to use the Grab Health application. Perceived enjoyment and social influence play an important role in attitudes, although vulnerability is not a variable that influences attitudes.

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Section: E Perceived Vulnerabilitysupporting

confidence: 81%

Building an Intention Model Using the Grab Health Application During the Covid-19 Pandemic

Setyawan¹,

Noe²,

Budiadi³

et al. 2020

Proceedings of the 3rd International Conference on Banking, Accounting, Management and Economics (ICOBAME 2020)

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“…In a study concerning the motivational factors and barriers to the continuous use of blended learning approach using Moodle, Sabah (2019) reported the same negative effect of computer anxiety on ease of use. Similar results concerning the negative effect of computer anxiety on ease of use were also reported in a statistical software context (M. K. Hsu et al, 2009), and different learning systems (e.g., Baki et al, 2018;Faham & Asghari, 2019;Ifinedo, 2017). Accordingly, the following hypothesis is proposed: H15: Computer anxiety is negatively associated with effort expectancy.…”

Section: Computer Anxiety (Cax)supporting

confidence: 66%

Students’ Continuance Intention to Use Moodle: An Expectation-Confirmation Model Approach

Rabaa'i

ALmaati

Zhu

2021

IJIKM

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Aim/Purpose: This study aims at investigating the factors that influence students’ continuous intention to use Moodle, as an exemplar of learning management systems (LMSs), in the post-adoption phase. Background: Higher education institutions (HEIs) have invested heavily in learning management systems (LMSs), such as Moodle and BlackBoard, as these systems enhance students’ learning and improve their interactions with the educational systems. While most studies on LMSs have focused on the pre-adoption or acceptance phases of this technology, the determinant factors that influence students’ continuance intention to use LMSs have received less attention in the information systems (IS) literature. Methodology: The theoretical model for this study was primarily drawn from the expectation-confirmation model (ECM). A total of 387 Kuwaiti students, from a private American University in the State of Kuwait, participated in this study. Partial least squares (PLS) was employed to analyze the data. Contribution: This study contributes to the existing scientific knowledge in different ways. First, this study extends the expectation confirmation model (ECM) by integrating factors that are important to students’ continuous intention to use LMSs, including system interactivity, effort expectancy, attitude, computer anxiety, self-efficacy, subjective norms, and facilitating conditions. Second, this study adds on a Kuwaiti literature context by focusing on the continuous intention to use LMSs, which is, to the best of our knowledge, the first study that extends and empirically assesses the applicability of the ECM in the LMSs context in a developing country – Kuwait. Third, this study conceptually and empirically differentiates between satisfaction and attitude, as two separate affect constructs, which were taken as interchangeable factors in ECM, and were disregarded by a large number of prior ECM studies concerned with continuous use intention. Finally, this study aims to assist HEIs, faculty members, and systems’ developers in understanding the main factors that influence students’ continuance use intention of LMSs. Findings: While subjective norms were not significant, the results mainly showed that students’ continuous intention to use Moodle is significantly influenced by performance expectancy, effort expectancy, attitude, satisfaction, self-efficacy and facilitating conditions. The study’s results also confirmed that satisfaction and attitude are two conceptually and empirically different constructs, conflicting with the views that these constructs can be taken as interchangeable factors in the ECM. Recommendations for Practitioners: This study offers several useful practical implications. First, given the significant influence of system interactivity on performance expectancy and satisfaction, faculty members should modify their teaching approach by enabling communication and interaction among instructors, students, and peers using the LMS. Second, given the significant influence of performance expectancy, satisfaction, and attitude on continuous intention to use the LMS, HEIs should conduct training programs for students on the effective use of the LMS. This would increase students’ awareness regarding the usefulness of the LMS, enhance their attitude towards the LMS, and improve their satisfaction with the system. Third, given the significant role of effort expectancy in influencing performance expectancy, attitude, and students’ continuous intention to use Moodle, developers and system programmers should design the LMS with easy to use, high quality, and customizable user interface. This, in turn, will not only motivate students’ performance expectancy, but will also influence their attitude and continuous intention to use the system. Recommendation for Researchers: This study conceptually and empirically differentiates between satisfaction and attitude, as two separate affect constructs, which were taken as interchangeable factors in ECM and were disregarded by a large number of prior ECM studies concerned with continuous use intention. Hence, it is recommended that researchers include these two constructs in their research models when investigating continuous intention to use a technology. Impact on Society: This study could be used in other countries to compare and verify the results. Additionally, the research model of this study could also be used to investigate other LMSs, such as Blackboard. Future Research: This study focused on how different factors affected students’ continuous intention to use Moodle but did not consider all determinants of successful system, such as system quality, information quality, and instructional as well as course content quality. Thus, future research should devote attention to the effects of these quality characteristics of LMS.

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“…The intention is perceived as a most important predictor of behavior of an individual (Gkargkavouzi, Halkos, and Matsiori, 2019) and used by some of the recent researchers in the agricultural sector, such as Faham & Asghari (2019) Rezaei, Safa, Damalas, & Ganjkhanloo (2019), Borges et al (2019), Ruby, Abidin, Lihan, Jambari, & Radu (2019), Bagheri, Bondori, Allahyari, and Damalas (2019), and Yaghoubi, Yazdanpanah, & Komendantova (2019). Importantly, this predictor of human behavior used by Ajzen (Ajzen, 1991) in his both behavioral models, namely Theory of Reasoned Action (TRA) and Theory of Planned Behavior (TPB).…”

Section: Theoretical Frameworkmentioning

confidence: 99%

Intention Level of Farmers to Use Information Communication Technologies for Agricultural Risk Management in Malaysia

Ali

Man

Muharam

2020

JIAEE

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Climate changes are changing intentions of farmers to tackle climate variations in various ways. Information and Communication Technologies are proving to assist farmers to manage agricultural risk timely and with fewer efforts. Intention of farmers to use ICTs in the context of agricultural risk management is important to understand. Therefore, the present study was designed to examine intention of the farmers from the context of Malaysia. The field survey of three selected states was conducted in which 350 farmers were chosen through multi stage cluster sampling technique. The Likert scale items measuring 1 as strongly disagree to 5 as strongly agree were used in the research instrument to assess intention of the respondents. The findings revealed that the farmers showed positive intention to use ICTs for agricultural risk management from the future lens. The overall level of intention was also high. However, internet speed, small screen display and battery issues could halt intention of the farmers to harness potential of digital technologies as reported by the farmers. Thus, the study recommends that agricultural extension service providers are required to introduce various digital skill development programs for the farmers exclusively resource poor and less digital familiar farmers to reduce the risk in the agricultural sector stem from climate changes. Keywords: intention, farmers, ICTs, agricultural risk management, Malaysia

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Determinants of behavioral intention to use e-textbooks: A study in Iran’s agricultural sector

Cited by 19 publications

References 28 publications

Building an Intention Model Using the Grab Health Application During the Covid-19 Pandemic

Building an Intention Model Using the Grab Health Application During the Covid-19 Pandemic

Students’ Continuance Intention to Use Moodle: An Expectation-Confirmation Model Approach

Intention Level of Farmers to Use Information Communication Technologies for Agricultural Risk Management in Malaysia

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