Predictors for E-Government Adoption of SANAD App Services Integrating UTAUT, TPB, TAM, Trust, and Perceived Risk

AlHadid, Issam; Abu-Taieh, Evon; Alkhawaldeh, Rami S.; Khwaldeh, Sufian; Masa’deh, Ra’ed; Kaabneh, Khalid; Alrowwad, Ala’aldin

doi:10.3390/ijerph19148281

Cited by 33 publications

(37 citation statements)

References 69 publications

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“…Age, educational level, and Internet experience attributes were presented in H10, H12, and H13 and were previously used in [4,7,23,44,50,51,72,[82][83][84][85][86]. Age, educational level, and Internet experience can be attributed to behavioral intention (BI).…”

Section: Discussionmentioning

confidence: 99%

Continued Intention to Use of M-Banking in Jordan by Integrating UTAUT, TPB, TAM and Service Quality with ML

Abu-Taieh

AlHadid

Abu-Tayeh³

et al. 2022

Journal of Open Innovation: Technology, Market, and Complexity

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Mobile banking is a service provided by a bank that allows full remote control of customers’ financial data and transactions with a variety of options to serve their needs. With m-banking, the banks can cut down on operational costs whilst maintaining client satisfaction. This research examined the most crucial factors that could predict the Jordanian customer’s continued intention toward the use of m-banking. Following the proposed model, the research was conducted by using a self-conducted questionnaire and the responses were collected electronically from a convenience sample of 403 Jordanian customers of m-banking through social networks. The suggested model was adapted from the theory of planned behavior (TPB), the unified theory of acceptance and use of technology (UTAUT), and the technology acceptance model (TAM). The research model was further expanded by considering the factors of service quality and moderating factors (age, gender, educational level, and Internet experience). The collected data of customers were analyzed, validated, and verified by using a structural equation modeling (SME) approach including a confirmatory factor analysis (CFA), in addition to machine learning (ML) methods, artificial neural network (ANN), support vector machine (SMO), bagging reduced error pruning tree (RepTree), and random forest. Results showed that effort expectancy, performance expectancy, perceived risk, perceived trust, social influence, and service quality impacted behavioral intention, whereas facilitating conditions did not. Furthermore, behavioral intention impacted upon word of mouth and facilitating conditions (the latter regarding the continued intention to use m-banking), and had the highest coefficient value. Results also confirmed that all moderating factors affect the behavioral intention to continue using m-banking applications.

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Section: Discussionmentioning

confidence: 99%

Continued Intention to Use of M-Banking in Jordan by Integrating UTAUT, TPB, TAM and Service Quality with ML

Abu-Taieh

AlHadid

Abu-Tayeh³

et al. 2022

Journal of Open Innovation: Technology, Market, and Complexity

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“…This study used an extended model TAM to study the influence of parents’ anxiety and depression on children’s anxiety and depression when using SNs. The research used CFA, SEM, and five ML methods to validate and verify the findings as in [ 88 , 89 , 90 , 91 ]. The research found that there is a high correlation between parents’ depression and anxiety with children’s depression and a weak correlation with children’s anxiety.…”

Section: Discussion Implications and Conclusionmentioning

confidence: 99%

Factors Affecting the Use of Social Networks and Its Effect on Anxiety and Depression among Parents and Their Children: Predictors Using ML, SEM and Extended TAM

Abu-Taieh

AlHadid

Masa’deh

et al. 2022

IJERPH

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Previous research has found support for depression and anxiety associated with social networks. However, little research has explored parents’ depression and anxiety constructs as mediators that may account for children’s depression and anxiety. The purpose of this paper is to test the influence of different factors on children’s depression and anxiety, extending from parents’ anxiety and depression in Jordan. The authors recruited 857 parents to complete relevant web survey measures with constructs and items and a model based on different research models TAM and extended with trust, analyzed using SEM, CFA with SPSS and AMOS, and ML methods, using the triangulation method to validate the results and help predict future applications. The authors found support for the structural model whereby behavioral intention to use social media influences the parent’s anxiety and depression which correlate to their offspring’s anxiety and depression. Behavioral intention to use social media can be enticed by enjoyment, trust, ease of use, usefulness, and social influences. This study is unique in exploring rumination in the context of the relationship between parent–child anxiety and depression due to the use of social networks.

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“…Anyway, different factors impact the attitude toward e-government services usage in Jordan (AlHadid et al, 2022). Quality of information, perceived ease of use, and quality of the system influence the e-government acceptance by employees of the municipality in Jordan (Shibly & Tadros, 2010).…”

Section: Literature Reviewmentioning

confidence: 99%

“…Perceived risk, facilitating conditions, perceived service quality, performance expectancy, social influence, effort expectancy, and trust in digital technology affect attitude to e-government usage in Jordan (AlHadid et al, 2022). The key factors: facilitating conditions, perceived risk, social influence, performance expectancy, perceived service quality, effort expectancy, and trust in digital technology affect the attitude toward e-government usage in Jordan (AlHadid et al, 2022). Individual reactions such as enjoyment, habit, and local culture affect the use of e-government.…”

Section: Subjective Norms (Social Influence) and Intention To Use E-g...mentioning

confidence: 99%

“…Furthermore, factors affect e-government service use such as infrastructure, security, privacy, ease of use, cost of access, reliability, accountability, and governance policies (S. Sharma, Mir, et al, 2022). Perceived risk, effort expectancy, facilitating conditions, social influence, performance expectancy, perceived quality of service, and trust in digital technology affect the attitude to use e-government in Jordan (AlHadid et al, 2022). Social media tools facilitate information sharing which increases customer engagement and satisfaction and affects individual decision-making (Grover et al, 2022).…”

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confidence: 99%

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Behavioral Acceptance of Electronic Government in Jordan

Al-Haddad

Sharabati

Khasawneh

et al. 2023

International Journal of Electronic Government Research

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Due to the development of communication and information technology, all organizations employ electronic communication to reach their customers and users, especially in developed nations where governments use e-government to support their residents with needed services. In Jordan, the use of e-government services is not as well adopted as in developed nations, because some Jordanians do not trust e-government services due to many reasons, which are discussed in this research; therefore, this study's goal is to determine dimensions that affect people's intentions to use e-government and its effect on e-government actual use in Jordan. The study looks into the factors that impact individuals' intentions and actual e-government usage, including attitudes toward behavior, credibility, and subjective norms that are derived from perceived usefulness, ease of use, awareness, trust in the government, incentives, trust in service delivery, transactional security, and social influence. A total of 352 online questionnaires were gathered, the majority of which were completed by college students who are between the ages of 18 and 29. The findings indicate that perceived ease of use, incentives, and perceived usefulness influence attitudes toward behavior, while awareness does not affect attitudes toward behavior. Trust in service delivery, transactional security, and trust in government affect credibility. Social influences affect subjective norms. Attitudes toward behavior and subjective norms affect intention to use, using intention affects actual usage, while credibility does not affect using intention. Finally, the results are helpful to Jordanian organizations including the Jordanian government. Recommendations are provided in the last section.

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Predictors for E-Government Adoption of SANAD App Services Integrating UTAUT, TPB, TAM, Trust, and Perceived Risk

Cited by 33 publications

References 69 publications

Continued Intention to Use of M-Banking in Jordan by Integrating UTAUT, TPB, TAM and Service Quality with ML

Continued Intention to Use of M-Banking in Jordan by Integrating UTAUT, TPB, TAM and Service Quality with ML

Factors Affecting the Use of Social Networks and Its Effect on Anxiety and Depression among Parents and Their Children: Predictors Using ML, SEM and Extended TAM

Behavioral Acceptance of Electronic Government in Jordan

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