scholarly journals Intention to Use Accounting Platforms in Romania: A Quantitative Study on Sustainability and Social Influence

2020 ◽  
Vol 12 (15) ◽  
pp. 6127
Author(s):  
Gary Cokins ◽  
Ionica Oncioiu ◽  
Mirela Cătălina Türkeș ◽  
Dan Ioan Topor ◽  
Sorinel Căpuşneanu ◽  
...  
Keyword(s):  
Social Influence ◽  
Quantitative Study ◽  
Perceived Risk ◽  
Positive Influence ◽  
Sample Survey ◽  
Intention To Use ◽  
Unified Theory ◽  
Online Questionnaire ◽  
Perceived Credibility ◽  
Use Of Technology

Technological innovation evolves through the use of information systems and this study highlights the intentions of using accounting platforms by conducting a quantitative study on sustainability and its social influence. The purpose of this study is to investigate the factors that influence the acceptance and use by company managers of accounting platforms available online by developing the unified theory of acceptance and use of technology (UTAUT) construct model. The research method used in the quantitative study was the sample survey, using the online questionnaire as a data collection tool. A number of 401 companies provided complete and useful answers to this research. The major contributions of the research were the use of two variables considered significant in the study: perceived credibility (PC) and perception of risk (PR). The results of the study showed that performance expectancy (PE), social influence (SI), and perceived risk (PR) have a positive influence on the intention to use the accounting platforms available online, while perceived credibility shows a much more significant and stronger influence.

scholarly journals The Impact of Force Factors on the Benefits of Digital Transformation in Romania

2021 ◽  
Vol 11 (5) ◽  
pp. 2365
Author(s):  
Sorinel Căpușneanu ◽  
Dorel Mateș ◽  
Mirela Cătălina Tűrkeș ◽  
Cristian-Marian Barbu ◽  
Adela-Ioana Staraș ◽  
...  
Keyword(s):  
Perceived Risk ◽  
Industry 4.0 ◽  
Business Models ◽  
Structural Model ◽  
Digital Transformation ◽  
Sample Survey ◽  
Intention To Use ◽  
Online Questionnaire ◽  
Use Of Technology ◽  
The Impact

The digital transformation has produced changes in all existing areas of activity worldwide. There are many factors that can influence the intention to use Industry 4.0 processes and solutions and change the behavior of organizations and their business models. The aim of this study is to validate the econometric model on assessing the significant impact of distinct factors on the intention to use Industry 4.0 processes and solutions, the benefits of digital transformation perceived by organizational management and the differences between distinct groups analyzed. The research method used within the quantitative study was the sample survey, using the online questionnaire as a data collection tool. Three hundred forty-seven valid questionnaires were collected and the response rate of the respondents was 64.25%. A new structural model was generated based on the elements of the Unified Theory of Acceptance and Use of Technology (UTAUT). The results of the study indicated that Perceived competitiveness and Perceived risk have a significant impact on Intention to Use Industry 4.0 processes while Perceived vertical networking solutions and Perceived integrated engineering solutions have a significant influence on the Intention to Use Industry 4.0 solutions. In conclusion, there is a positive and significant association between Intention to Use Industry 4.0 solutions and Benefits of Digital Transformation.

scholarly journals KEY DETERMINANTS OF THE INTENTION TO USE INTERNET BANKING IN VIETNAM

2011 ◽  
Vol 14 (1) ◽  
pp. 55-64
Author(s):  
Van Hong Khuu ◽  
Trang Thi Mai Nguyen
Keyword(s):  
Social Influence ◽  
Internet Banking ◽  
Intention To Use ◽  
Unified Theory ◽  
Research Model ◽  
Perceived Credibility ◽  
Performance Expectancy ◽  
Intention To Adopt ◽  
Use Of Technology ◽  
Effort Expectancy

This study investigates some key determinants of the intention to use internet banking in Vietnam. The research model was developed based on the Unified Theory of Acceptance and Use of Technology (UTAUT). The model was tested by a sample of 264 non users of internet banking in HCM city. The results show that performance expectancy, social influence, perceived credibility and anxiety significantly impact customers’ intention to adopt internet banking. In addition, results also show that effort expectancy and self-efficacy do not affect the intention to use internet banking.

Determinants of Consumer Intention to Use Online Gambling Services

2016 ◽  
Vol 12 (4) ◽  
pp. 23-37 ◽  
Author(s):  
Nuno Fortes ◽  
António Carrizo Moreira ◽  
João Saraiva
Keyword(s):  
Perceived Risk ◽  
Online Survey ◽  
Online Gambling ◽  
Intention To Use ◽  
Unified Theory ◽  
Convenience Sample ◽  
Performance Expectancy ◽  
Use Of Technology ◽  
Usage Behavior ◽  
Facilitating Conditions

Online gambling has skyrocketed in recent years. As such, knowing the determinants of consumer usage behavior is crucial in understanding online gambling services. This study has as main objective the construction of an explanatory model of the online gambling services usage behavior, based on the incorporation of perceived risk in the conceptual framework of the Unified Theory of Acceptance and Use of Technology 2 (UTAUT2). The empirical validation of the model was performed by conducting an online survey to a convenience sample of 212 Portuguese online players. Data were processed using the PLS-SEM methodology. The results evidence that performance expectancy, social influence, facilitating conditions, hedonic motivations, price value, habits, as well as perceived risk influence the intention to use online gambling services.

scholarly journals ANALISIS FAKTOR FAKTOR YANG MEMPENGARUHI MINAT PEMANFAATAN DAN PENGGUNAAN TEKNOLOGI PEMBAYARAN ELEKTRONIK BERGERAK DENGAN MENGGUNAKAN MODEL UTAUT. (STUDI KASUS PADA TEKNOLOGI M-DINAR PAYMENT SYSTEM)

2016 ◽  
Vol 1 (1) ◽  
pp. 50
Author(s):  
Wahyu Meiranto
Keyword(s):  
Information System ◽  
Regression Analysis ◽  
Social Influence ◽  
Electronic Mail ◽  
The Other ◽  
Intention To Use ◽  
Unified Theory ◽  
Performance Expectancy ◽  
Use Of Technology ◽  
Effort Expectancy

The purpose of this research is to analyze factors that influence behaviour intention to use technology information system and use behaviour technology information system using UTAUT (unified theory of acceptance and use of technology). That factors are performance expectancy,effort expectancy, perceived of credibility, social influence, and facilitating condition and moderated by age, gender and experience. Sample of this research is investment using services community (M-Dinar) through internet. One hundred and twenty four respondents using M-Dinar had participated in this research. The collecting data used a questionnaire survey that posted at facebook and sent it via electronic-mail. Data were analyzed using a Moderated Regression Analysis (MRA). The result showed only social influence that effecting behaviour intention to use M-Dinar technology significant. The other factors aren’t have significant influence to behavoiur intention to use M-Dinar technology.

scholarly journals Factors Influencing Patients’ Intentions to Use Diabetes Management Apps Based on an Extended Unified Theory of Acceptance and Use of Technology Model: Web-Based Survey

10.2196/15023 ◽  
2019 ◽  
Vol 21 (8) ◽  
pp. e15023 ◽  
Author(s):  
Yiyu Zhang ◽  
Chaoyuan Liu ◽  
Shuoming Luo ◽  
Yuting Xie ◽  
Fang Liu ◽  
...  
Keyword(s):  
Social Influence ◽  
Behavioral Intention ◽  
Diabetes Management ◽  
Intention To Use ◽  
Unified Theory ◽  
Research Model ◽  
Web Based ◽  
Performance Expectancy ◽  
Use Of Technology ◽  
Facilitating Conditions

Background Diabetes poses heavy social and economic burdens worldwide. Diabetes management apps show great potential for diabetes self-management. However, the adoption of diabetes management apps by diabetes patients is poor. The factors influencing patients’ intention to use these apps are unclear. Understanding the patients’ behavioral intention is necessary to support the development and promotion of diabetes app use. Objective This study aimed to identify the determinants of patients’ intention to use diabetes management apps based on an integrated theoretical model. Methods The hypotheses of our research model were developed based on an extended Unified Theory of Acceptance and Use of Technology (UTAUT). From April 20 to May 20, 2019, adult patients with diabetes across China, who were familiar with diabetes management apps, were surveyed using the Web-based survey tool Sojump. Structural equation modeling was used to analyze the data. Results A total of 746 participants who met the inclusion criteria completed the survey. The fitness indices suggested that the collected data fit well with the research model. The model explained 62.6% of the variance in performance expectancy and 57.1% of the variance in behavioral intention. Performance expectancy and social influence had the strongest total effects on behavioral intention (β=0.482; P=.001). Performance expectancy (β=0.482; P=.001), social influence (β=0.223; P=.003), facilitating conditions (β=0.17; P=.006), perceived disease threat (β=0.073; P=.005), and perceived privacy risk (β=–0.073; P=.012) had direct effects on behavioral intention. Additionally, social influence, effort expectancy, and facilitating conditions had indirect effects on behavioral intention that were mediated by performance expectancy. Social influence had the highest indirect effects among the three constructs (β=0.259; P=.001). Conclusions Performance expectancy and social influence are the most important determinants of the intention to use diabetes management apps. Health care technology companies should improve the usefulness of apps and carry out research to provide clinical evidence for the apps’ effectiveness, which will benefit the promotion of these apps. Facilitating conditions and perceived privacy risk also have an impact on behavioral intention. Therefore, it is necessary to improve facilitating conditions and provide solid privacy protection. Our study supports the use of UTAUT in explaining patients’ intention to use diabetes management apps. Context-related determinants should also be taken into consideration.

scholarly journals ANALISIS PENERIMAAN TEKNOLOGI DOMPET DIGITAL PADA UMKM DI KOTA BANDUNG

2020 ◽  
Vol 4 (2) ◽  
pp. 115-123
Author(s):  
Islamiaty Ruhlfie Puteri ◽  
Candra Wijayangka
Keyword(s):  
Social Influence ◽  
Perceived Risk ◽  
Behavioural Intention ◽  
Unified Theory ◽  
Smart Technology ◽  
Purposive Sampling ◽  
Performance Expectation ◽  
Use Of Technology

Revolusi industri 4.0 mempengaruhi kehidupan masa kini terutama penggunaan smart technology yang semakin mempermudah beragam aktivitas manusia khususnya dalam pembayaran menggunakan e-wallet. E-wallet tidak hanya berkembang di toko ternama namun sudah merambah ke (Usaha Mikro Kecil Menengah) UMKM di kota Bandung. Namun, masih terdapat beberapa kendala penerimaan akan teknologi yang baru ini dikarenakan berbagai faktor di masyarakat. Penelitian ini bertujuan untuk mengetahui bagaimana penerimaan teknologi E-Wallet Go-pay dan OVO pada UMKM di Kota Bandung menggunakan Unified Theory of Acceptance and Use of Technology model yang memiliki variabel performance expectation, effort expectation, social influence, perceived risk, perceived cost dan behavioural intention. Metode yang digunakan dalam penelitian ini adalah metode deskriptif dan kausalitas dengan pendekatan kuantitatif, dan menggunakan teknik pengujian hipotesis yaitu uji T. Metode pengambilan sampel yang digunakan adalah purposive sampling dengan total 100 responden. Berdasarkan hasil pengolahan data menggunakan SmartPLS diperoleh performance expectation, effort expectation, social influence dan perceived cost berpengaruh signifikan terhadap behavioural intention sebesar 97,5%. Perceived risk diketahui tidak berpengaruh pada penelitian ini, hal ini bisa disebabkan oleh perbedaan jenis teknologi, nilai moneter dari teknologi yang pengguna gunakan dan juga reputasi komunitas.

Effects of trust and perceived risk on user acceptance of a new technology service

2013 ◽  
Vol 41 (4) ◽  
pp. 587-597 ◽  
Author(s):  
Ji-Hwan Lee ◽  
Chi-Hoon Song
Keyword(s):  
Social Influence ◽  
Perceived Risk ◽  
Structural Equation ◽  
New Technology ◽  
Equation Modeling ◽  
Intention To Use ◽  
Performance Expectancy ◽  
Use Of Technology ◽  
Effort Expectancy ◽  
The Republic

We explored the precise impacts of trust and perceived risk on the core constructs of the unified theory of acceptance and use of technology (UTAUT). We applied the UTAUT model to the novel context of the Certified e-Document Authority (CeDA) service used in the Republic of Korea. Our results from structural equation modeling largely supported our hypotheses. Trust and perceived risk were shown to be direct antecedents of intention to use, and trust functioned as an indirect antecedent. Performance expectancy and social influence were shown to positively affect behavioral intention. Effort expectancy was also shown to influence performance expectancy. The combination of trust, perceived risk, performance expectancy, effort expectancy, and social influence accounted for 55.3% of the variance observed in users' intention to use CeDA services.

scholarly journals Factors Influencing Patients’ Intentions to Use Diabetes Management Apps Based on an Extended Unified Theory of Acceptance and Use of Technology Model: Web-Based Survey (Preprint)

2019 ◽  
Author(s):  
Yiyu Zhang ◽  
Chaoyuan Liu ◽  
Shuoming Luo ◽  
Yuting Xie ◽  
Fang Liu ◽  
...  
Keyword(s):  
Social Influence ◽  
Behavioral Intention ◽  
Diabetes Management ◽  
Intention To Use ◽  
Unified Theory ◽  
Research Model ◽  
Web Based ◽  
Performance Expectancy ◽  
Use Of Technology ◽  
Facilitating Conditions

BACKGROUND Diabetes poses heavy social and economic burdens worldwide. Diabetes management apps show great potential for diabetes self-management. However, the adoption of diabetes management apps by diabetes patients is poor. The factors influencing patients’ intention to use these apps are unclear. Understanding the patients’ behavioral intention is necessary to support the development and promotion of diabetes app use. OBJECTIVE This study aimed to identify the determinants of patients’ intention to use diabetes management apps based on an integrated theoretical model. METHODS The hypotheses of our research model were developed based on an extended Unified Theory of Acceptance and Use of Technology (UTAUT). From April 20 to May 20, 2019, adult patients with diabetes across China, who were familiar with diabetes management apps, were surveyed using the Web-based survey tool Sojump. Structural equation modeling was used to analyze the data. RESULTS A total of 746 participants who met the inclusion criteria completed the survey. The fitness indices suggested that the collected data fit well with the research model. The model explained 62.6% of the variance in performance expectancy and 57.1% of the variance in behavioral intention. Performance expectancy and social influence had the strongest total effects on behavioral intention (β=0.482; P=.001). Performance expectancy (β=0.482; P=.001), social influence (β=0.223; P=.003), facilitating conditions (β=0.17; P=.006), perceived disease threat (β=0.073; P=.005), and perceived privacy risk (β=–0.073; P=.012) had direct effects on behavioral intention. Additionally, social influence, effort expectancy, and facilitating conditions had indirect effects on behavioral intention that were mediated by performance expectancy. Social influence had the highest indirect effects among the three constructs (β=0.259; P=.001). CONCLUSIONS Performance expectancy and social influence are the most important determinants of the intention to use diabetes management apps. Health care technology companies should improve the usefulness of apps and carry out research to provide clinical evidence for the apps’ effectiveness, which will benefit the promotion of these apps. Facilitating conditions and perceived privacy risk also have an impact on behavioral intention. Therefore, it is necessary to improve facilitating conditions and provide solid privacy protection. Our study supports the use of UTAUT in explaining patients’ intention to use diabetes management apps. Context-related determinants should also be taken into consideration.

Sign in / Sign up

Export Citation Format

Share Document