The Acceptance and Behavior Towards E-Insurance

2021 ◽  
Vol 17 (2) ◽  
pp. 24-39
Author(s):  
Maher Taib Toukabri ◽  
Saïd Aboubaker Ettis

The expansion of ICTs (information and communication technologies) and the intensification of competition have induced firms to sell online. Insurance companies, for instance, have been urged to rely on such new technologies to be able to strengthen their presence on the market. This research used the technology acceptance model (TAM) and the theory of planned behavior (TPB) to study the factors that influence the e-insurance adoption. This study gathers data through a face-to-face administered survey involving insured persons. The hypotheses and the model were tested using AMOS co-variance-based structural equation modeling. The findings showed that perceived ease of use, subjective norms, perceived behavioral control, and attitude are the predominant predictors of the intention to buy insurance online. Those findings provide decision-makers in insurance companies with information useful in designing online offerings, creating a positive attitude towards e-insurance, and attracting customers.

2014 ◽  
Vol 220 ◽  
pp. 116-135
Author(s):  
Thanh Nguyễn Duy ◽  
THI CAO HÀO

E-banking is an inevitable trend of the banking industry in the future. E-banking benefits not only banks but also customers, so the study of models of adoption and usage of E-banking is essential. Nguyễn & Cao (2011) propose the adoption and usage of E-banking model in Vietnam - E-BAM (E-Banking Adoption Model), and their findings showed that eight following factors - performance expectancy, compatibility, perceived ease of use, perceived behavioral control, subjective norm, perceived risk in transaction, bank image, and macro impact of law - affect the E-banking adoption and E-banking adoption affects E-banking usage. However, according to some relevant theoretical models, this model does not show relationships among independent variables and the effects of independent variables on the E-banking usage. In this paper, authors re-propose a new model of E-BAM to overcome the limitations of the 2011 research, the relationships in the model were analyzed by linear structural model - SEM (Structural Equation Modeling). Factors including perceived behavioral control, compatibility, performance expectancy, bank image and perceived risk in transaction are mutually influenced and affect the E-banking adoption intention; while perceived ease of use and E-banking adoption affect the E-banking usage.


2016 ◽  
Vol 2016 ◽  
pp. 1-15 ◽  
Author(s):  
Erasmo Miranda Bojórquez ◽  
Osslan Osiris Vergara Villegas ◽  
Vianey Guadalupe Cruz Sánchez ◽  
Jorge Luis García-Alcaraz ◽  
Jesús Favela Vara

This paper presents the results of a study applied to undergraduates in order to know how the cultural dimensions affect their perceptions of the acceptance and use of new technologies in a student-centered learning environment. A total of 85 undergraduate students from the Autonomous Indigenous University of Mexico (UAIM) participated in the study. Each student was asked to use a mobile augmented reality (MAR) application designed to learn Mayo language (language spoken in Northwestern Mexico). Afterwards, the students responded to a survey with items concerning the use and technology acceptance and about cultural dimensions of individualism and uncertainty avoidance. Structural equation modeling (SEM) was used to analyze the data collected from students. Results provide evidence that the individualism contributes positively to perceived ease of use of the MAR app, and uncertainty avoidance has no impact. The findings showed that the MAR system could be easily used if it includes a natural way to promote collaborative work. In addition, to gain the trust of students, the uncertainty avoidance needs to be reduced by enriching the help information offered for app use.


2018 ◽  
Vol 118 (8) ◽  
pp. 1647-1670 ◽  
Author(s):  
Wangyue Zhou ◽  
Zayyad Tsiga ◽  
Boying Li ◽  
Shuning Zheng ◽  
Shuli Jiang

Purpose The purpose of this paper is to identify antecedents of e-finance continuance intention with Alibaba’s Yu’E Bao as an example. Design/methodology/approach An online questionnaire was used to collect the data (n=293), and partial least squares structural equation modeling was employed for data analysis. Four e-finance features (perceived reputation, website quality, e-finance familiarity and situational normality) are introduced with trust acting as a moderator between the users’ satisfaction and continuance intention to use an e-finance platform. Findings The results find that website quality, familiarity and situational normality can influence perceived ease of use (PEOU) and perceived usefulness (PU). PEOU and PU, together with reputation, are positively associated with confirmation which further leads to satisfaction. The positive effects that satisfaction and trust have on e-finance continuance intention are confirmed, and trust is found to be a significant moderator on the relationship between satisfaction and continuance intention. Practical implications The findings can be used to guide e-finance providers to improve their platform design and services to retain users. Originality/value This study combines the theory of trust, Technology Acceptance Model and Expectations Confirmation Theory to investigate the factors that influence the continuance intention in the context of e-finance in China.


2019 ◽  
Vol 10 (1) ◽  
pp. 63-74
Author(s):  
Dona Primasari ◽  
Sudjono Sudjono ◽  
Nining Abriani

Abstract. The long-term objective of this research is to enrich the development of science, especially the development of SMEs related to the adoption of information technology with studies using the Technology Acceptance Model. The specific aim of the research is to examine what factors are inhibiting the adoption of e commerce technology in SMEs in Banyumas Regency, as well as examining whether e-commerce adoption has an impact on increasing the demand for product quantities in SMEs. Collecting data in this study was carried out by distributing questionnaires through direct interviews with SMEs in Banyumas District who were respondents. The sampling technique in this study using random sampling technique. Whereas for data analysis using Statistical Product and Service Solution (SPSS) version 22.0 and Structural Equation Modeling (SEM) with AMOS program. The results of the study show that the Technology Acceptance Model theory is able to explain the institutions of SMEs actors to use e-commerce technology. Keywords: E-commerce, perceived usefulness, perceived ease of use, use behavior,TAM (Technology Acceptance Model) Abstrak. Tujuan jangka panjang penelitian ini adalah untuk memperkaya perkembangan ilmu, khususnya pengembangan UMKM terkait dengan adopsi teknologi informasi dengan kajian menggunakan Technology Acceptance Model.  Tujuan khusus penelitian adalah untuk menelaah faktor-faktor apakah yang menghambat adopsi teknologi e commerce pada UMKM di Kabupaten Banyumas, serta menelaah apakah adopsi e- commerce berdampak pada peningkatan permintaaan kuantitas produk pada UKM. Pengumpulan data dalam penelitian ini dilakukan dengan menyebarkan kuesioner melalui antar langsung kepada pelaku UMKM di Kabupaten Banyumas yang menjadi responden.  Teknik pengambilan sampel dalam penelitian ini dengan menggunakan teknik random sampling. Sedangkan untuk analisis data mengunakan Statistical Product and Service Solution (SPSS) versi 22.0 dan Structural Equation Modeling (SEM) dengan program AMOS. Hasil penelitian menunjukkan bahwa teori Technology Acceptance Model  mampu menjelaskan instensi para pelaku UMKM untuk menggunakan teknologi e-commerce.  Hasil penelitian juga berhasil menerima 3 (tiga) hipotesis yaitu Perceived usefulnes  berpengaruh terhadap use behavior, Perceived ease of use berpengaruh terhadap use behavior, use behavior  berpengaruh terhadap peningkatan permintaan kuantitas produk.  Hasil penelitian juga menunjukkan implementasi e-commerce tidak berpengaruh terhadap persepsi manfaat (perceived usefulness), Implementasi e-commerce tidak berpengaruh terhadap persepsi kemudahan pengoperasian sistem  (perceived ease of use) atau dengan kata lain menolak 2 (dua) hipotesis lainnya.Keywords. E-commerce, perceived usefulnes, perceived ease of use, use behavior,peningkatan permintaan, TAM  (Technology Acceptance Model)


2015 ◽  
Vol 11 (2) ◽  
pp. 59
Author(s):  
I Made Suarta ◽  
I Ketut Suwintana

In this paper, the Technology Acceptance Model (TAM) is extent with two external stimulus namely e-learning characteristics and basic ICT (Information and Communication Technology) competencies. The purpose of this study are (1) finding relationship between e-learning characteristics and lecturers’ basic ICT competencies with the perceived ease of use and perceived usefulness of e-learning; and (2) determining the effect of e-learning characteristics and lecturer basic ICT competencies to the actual usage of e-learning. Research subjects are Bali State Polytechnic lecturers who have attended the elearning training. In this study, to collect the data sample, a non-random sampling technique is adopted. The data is collected by self-administered questionnaires and is analyzed using structural equation modeling. Basic ICT competencies of the Bali State Polytechnic lecturers are good, but the level of actual usage of e-learning is very low. Basic ICT competence shows no significant effect on the perceived ease of use and perceived usefulness of e-learning. The actual usage of e-learning also has low implications. E-learning characteristics show a significant effect on perceived ease of use and perceived usefulness of e-learning, which implies the change attitude and behavior in the use of elearning. Characteristics of e-learning become a determinant factor in the adoption and use of elearning. The findings will help lecturer a better understanding to the mechanism of e-learning adoption. The study recommends for polytechnic institutions to make a systematic effort to provide lecturers with training on how to use e-learning system effectively. A further research to identify other factors that may influence lecturers' attitudes toward the adoption of e-learning system is demanded following this research.


2022 ◽  
Vol 6 (1) ◽  
pp. 45-58 ◽  
Author(s):  
Amer Al-Husamiyah ◽  
Mahmood Al-Bashayreh

Smart home services (SHSs) afford users an effective lifestyle management system, which provides human-oriented networking of smart devices and applications that enable users to control their homes from anywhere at any time. Despite the benefits of SHSs, however, their acceptance is very low. There remains a gap in the literature in terms of a comprehensive model that addresses users’ intention to use SHSs. To address this gap, the present study explored the factors that influence SHS acceptance among users based on well-established theoretical frameworks, such as the technology acceptance model, innovation diffusion theory, and the theory of planned behavior. To this end, the study integrated four additional factors, namely, perceived convenience, perceived connectedness, perceived cost, and perceived privacy risk, into the exploration and carried out structural equation modeling to quantitatively determine the effects of these factors. Questionnaires were administered to 750 users. The findings indicated that perceived compatibility, perceived convenience, perceived connectedness, perceived cost, perceived behavioral control with perceived usefulness, and perceived ease of use directly and indirectly exerted a significant influence on users’ intention to use SHSs.


2019 ◽  
Vol 26 (3) ◽  
pp. 1866-1880 ◽  
Author(s):  
Jonathan Kissi ◽  
Baozhen Dai ◽  
Courage SK Dogbe ◽  
Jonathan Banahene ◽  
Oyeh Ernest

Despite the significant increase in telemedicine services technology, its adoption and use have been quite slow in some healthcare settings. It is generally accepted in today’s globalizing world that the success of telemedicine services relies on users’ satisfaction. Satisfying physicians and patients is one of the crucial objectives of telemedicine success. This study seeks to evaluate physicians’ satisfaction with telemedicine services adoption and utilization using the technology acceptance model. A structured questionnaire based on the construct of technology acceptance model was used to solicit for data from participants in four different government health institutions. Purposive and convenience sampling techniques were employed to select healthcare professionals from various medical fields. Structural equation modeling was utilized in the data analysis. Perceived ease of use and perceived usefulness of telemedicine services were found to influence physicians’ behavioral intentions. This resulted in increased efficiency, quality of services, quality patient care delivery, and satisfaction among physicians in using telemedicine services. We noted that the adoption of telemedicine services in clinical settings depends on physicians’ and patients’ satisfaction with the use of the service. The study contributes to empirical knowledge by identifying the vital predictive factors affecting telemedicine services satisfaction among physicians.


2017 ◽  
Vol 45 (9) ◽  
pp. 1461-1473 ◽  
Author(s):  
Eun-Yong Lee ◽  
Soo-Bum Lee ◽  
Yu Jung Jennifer Jeon

We examined the relationships between the determinants that affect customers' use of food delivery apps. Using an extended technology acceptance model, we explored consumers' experiences in purchasing delivery food through mobile apps. We distributed a self-administered questionnaire online and used structural equation modeling to test the hypotheses. We found that user-generated information, firm-generated information, and system quality had a significant effect on perceived usefulness. In addition, system quality and design quality strongly influenced the perceived ease of use, which improved perceived usefulness, and in turn, perceived usefulness and perceived ease of use affected attitude toward the use of mobile apps. Practical implications for the food service industry are discussed.


2018 ◽  
Vol 30 (1) ◽  
pp. 242-259 ◽  
Author(s):  
Jungsun (Sunny) Kim ◽  
Anthony Gatling

Purpose The purpose of this study is to investigate whether the perceived ease of use and the usefulness of a virtual employee engagement platform (VEEP) positively influence employees’ intentions to use the VEEP and, in turn, actual use of VEEP. This study further examined how using the VEEP influences employee engagement as well as two organizational outcomes (i.e. employee participation and intention to stay). Design/methodology/approach The survey items for this study were developed based on the technology acceptance model (TAM) and motivation theory. Structural equation modeling (SEM) was used to test the proposed relationships in a sample of 373 employees of a hospitality organization in the USA. Findings The results indicate that employees’ perceived ease of use and usefulness of a hospitality company’s VEEP positively influence employees’ intentions to use the VEEP. The study also found employees with greater intentions to use their company’s VEEP tend to use the VEEP more frequently, which in turn positively influenced their engagement. Eventually, the more-engaged employees showed a higher level of participation, as well as intention to stay. Practical implications This study addresses the call by researchers to demonstrate how a VEEP can positively influence employee engagement and to present new insights into how employee engagement can contribute to improving organizational outcomes in a hospitality setting. Originality/value This study is the first empirical study involving the emergent field of engagement platforms and employee engagement in a hospitality setting. Moreover, this research provides support for increased adoption and investment in the VEEP by hospitality companies.


2019 ◽  
Author(s):  
Wahyu Hardyanto ◽  
Sugiyanto Sugiyanto ◽  
Aji Purwinarko ◽  
Aryono Adhi

Online assessment has been carried out research on academic information system Unnes using Technology Acceptance Model (TAM) whose goal is to achieve accountability in academic application by taking the Graduate Program Unnes sampling. The method used to carry out this research through interviews/in dept interviews, documentation and questionnaires. Analyses were performed using analysis of Structural Equation Modeling (SEM) based covariance AMOS (Analysis of Moment Structures). The results obtained overall, Knowledge of Search Domain has no effect on Perceived Ease of Use. However, CMIN / DF qualified, because it has a value of≤2.


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