Financial Technology as a Future Game-Changer

2022 ◽  
pp. 14-30
Author(s):  
Nelson Lajuni ◽  
Avnner Chardles Wellfren ◽  
Noraini Binti Abdullah ◽  
Salumah Binti Nain

Financial technology has emerged as a game-changer to complement and enhance how the Millennial and Generation Z conduct transactions. Responding to calls of prior research, this study used the unified theory of acceptance and use of technology (UTAUT) to understand how performance expectancy and effort expectancy factors influence consumers' intention to use financial technology. Performance expectancy (PE) and effort expectancy (EE) were investigated as exogenous variables towards the intention to use financial technology (FinTech) that act as endogenous variables in this study. The authors collected 284 Millennial and Generation Z respondents and analysed the data using PLS-SEM. The result from the study's structural model suggested that FinTech continuance use intention was dependent on performance expectancy and effort expectancy on engaging with young vibrant consumers and establishing attractive FinTech elements. In addition, Millennial and Generation Z consumers with a high-performance expectancy were found to emphasize FinTech components in the engagement process.

2016 ◽  
Vol 1 (1) ◽  
pp. 50
Author(s):  
Wahyu Meiranto

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.


SAGE Open ◽  
2019 ◽  
Vol 9 (4) ◽  
pp. 215824401989369
Author(s):  
Isaac Kofi Mensah ◽  
Zhao Tianyu ◽  
Guohua Zeng ◽  
Luo Chuanyong

This research paper examined the continued intention of college students to use DiDi mobile car-sharing services in China. The unified theory of acceptance and use of technology (UTAUT) was used as the theoretical framework while the data analysis was completed with SPSS. The results have demonstrated that performance expectancy, reliability, efficiency, and security and privacy were significant predictors of the continued intention to use mobile car-sharing services. Contrary to our expectations, effort expectancy was not a significant determinant of the continued intention to use mobile car-sharing services. In addition to these direct effects, the moderating impact of trust in the internet was also examined. The moderating analysis showed that trust in the internet showed no significant moderating impact on the relationship between performance expectancy, effort expectancy, reliability, efficiency, and security and privacy and the continued intention to use mobile car-sharing services. The implications of these findings are discussed.


Author(s):  
Eija Kivekäs ◽  
Santtu Mikkonen ◽  
Samuli Koponen ◽  
Kaija Saranto

The use of welfare technologies in the home setting has drawn increased attention in healthcare. From a historical perspective, medical technologies were designed for hospital settings. Digitalization and internet of things have changed the structure of our society. The aim of this paper is to describe the factors that determine a user’s intent to adopt new welfare technologies in the context of homecare. The phenomenon was being examined by the unified theory of acceptance and use of technology. This study was to show that performance expectancy, effort expectancy, and facilitating conditions are significant factors in determining a user’s intention to use new welfare technologies. While, the use of welfare technologies was rare in homecare.


PLoS ONE ◽  
2021 ◽  
Vol 16 (4) ◽  
pp. e0250220
Author(s):  
Kirubel Biruk Shiferaw ◽  
Shegaw Anagaw Mengiste ◽  
Monika Knudsen Gullslett ◽  
Atinkut Alamirrew Zeleke ◽  
Binyam Tilahun ◽  
...  

Background In almost all lower and lower middle-income countries, the healthcare system is structured in the customary model of in-person or face to face model of care. With the current global COVID-19 pandemics, the usual health care service has been significantly altered in many aspects. Given the fragile health system and high number of immunocompromised populations in lower and lower-middle income countries, the economic impacts of COVID-19 are anticipated to be worse. In such scenarios, technological solutions like, Telemedicine which is defined as the delivery of healthcare service remotely using telecommunication technologies for exchange of medical information, diagnosis, consultation and treatment is critical. The aim of this study was to assess healthcare providers’ acceptance and preferred modality of telemedicine and factors thereof among health professionals working in Ethiopia. Methods A multi-centric online survey was conducted via social media platforms such as telegram channels, Facebook groups/pages and email during Jul 1- Sep 21, 2020. The questionnaire was adopted from previously validated model in low income setting. Internal consistency of items was assessed using Cronbach alpha (α), composite reliability (CR) and average variance extracted (AVE) to evaluate both discriminant and convergent validity of constructs. The extent of relationship among variables were evaluated by Structural equation modeling (SEM) using SPSS Amos version 23. Results From the expected 423 responses, 319 (75.4%) participants responded to the survey questionnaire during the data collection period. The majority of participants were male (78.1%), age <30 (76.8%) and had less than five years of work experience (78.1%). The structural model result confirmed the hypothesis “self-efficacy has a significant positive effect on effort expectancy” with a standardized coefficient estimate (β) of 0.76 and p-value <0.001. The result also indicated that self-efficacy, effort expectancy, performance expectancy, facilitating conditions and social influence have a significant direct effect on user’s attitude toward using telemedicine. User’s behavioral intention to use telemedicine was also influenced by effort expectancy and attitude. The model also ruled out that performance expectancy, facilitating conditions and social influence does not directly influence user’s intention to use telemedicine. The squared multiple correlations (r2) value indicated that 57.1% of the variance in attitude toward using telemedicine and 63.6% of the variance in behavioral intention to use telemedicine is explained by the current structural model. Conclusion This study found that effort expectancy and attitude were significantly predictors of healthcare professionals’ acceptance of telemedicine. Attitude toward using telemedicine systems was also highly influenced by performance expectancy, self-efficacy and facilitating conditions. effort expectancy and attitude were also significant mediators in predicting users’ acceptance of telemedicine. In addition, mHealth approach was the most preferred modality of telemedicine and this opens an opportunity to integrate telemedicine systems in the health system during and post pandemic health services in low-income countries.


Author(s):  
Wejdan Abualbasal ◽  
Emad Abu-Shanab ◽  
Heba Al-Quraan

The technology adoption domain is rich with studies that utilized a cross-sectional snapshot of subjects' perceptions regarding the adoption of new technology. This research tried to implement a longitudinal study that took three measures within 4 months to estimate the influence of time and experience on students' perceptions. The study adopted a modified version of the Unified Theory of Acceptance and use of Technology (UTAUT) with effort expectancy, performance expectancy, facilitating conditions, and locus of control predicting the intention to use Microsoft Project. Results supported the UTAUT and its prediction. Also, this study fitted two types of dynamic research typologies (learning curve and equilibrium circles) to the UTAUT relationships and across time.


2013 ◽  
Vol 41 (4) ◽  
pp. 587-597 ◽  
Author(s):  
Ji-Hwan Lee ◽  
Chi-Hoon Song

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.


2020 ◽  
Vol 15 (s1) ◽  
pp. 496-512
Author(s):  
Ampol Chayomchai

AbstractThis research aims to study the acceptance of the online technology of Thai people in Generation-Z during the incidence of COVID-19 disease. During this period, Thai people must quarantine themselves at home or work from home to prevent the outbreak of this disease and must comply with the laws of the Thai government. The researchers are interested in the Generation Z population because they are highly interested in technology. Previous literature and research used multiple models of acceptance and use of technology such as the Technology Acceptance Model, Unified Theory of Acceptance and Use of Technology model. This study adapted various variables from many models in the past, including personal innovativeness, performance expectancy, effort expectancy, social influence, trust, and behavioral intention to use technology. The research uses questionnaires as a research tool. 457 usable questionnaires from online data collection were used for data analysis. Descriptive and inferential statistical analysis was performed. The researcher tested the hypothesis by assessment of the Partial Least Square-Structural Equation Model. Research findings found that the behavioral intention to use online technology during COVID-19 disease is predicted by three key factors including performance expectancy, effort expectancy, and trust. Effort expectancy positively influences performance expectancy. In addition, personal innovativeness and the trust of users directly significantly affect performance expectancy and effort expectancy. The researcher suggests that the management level can use the findings in the planning of the organization’s management or marketers can utilize the results for the marketing strategy of the organization.


2021 ◽  
Vol 16 (2) ◽  
pp. 27-58
Author(s):  
Shamsurin Ahmad ◽  
◽  
Sharina Tajul Urus ◽  
Sharifah Nazatul Faiza Syed Mustapha Nazri ◽  
◽  
...  

The Fourth Industrial Revolution (IR 4.0), which is complementary to the technological revolution, has given birth to Financial Technology (Fintech). Numerous advantages are offered by Fintech, yet the adoption rate is still low. This is especially from the employed fresh graduates’ perspectives that are regarded as the computer literate and IT savvy’s group. This research aims to examine the factors that affect the technology acceptance of Fintech payment services. The research attempts to measure the relationships between performance expectancy, effort expectancy, social influence, facilitating condition and consumers’ trust with the adoption of Fintech. Based upon the Unified Theory of Acceptance and Use of Technology (UTAUT), the quantitative method was employed via online survey of 179 respondents. The result showed that consumers’ trust had the highest impact on the adoption of Fintech payment services, followed by performance expectancy and effort expectancy. In contrast, facilitating conditions and social influence showed an insignificant relationship with the adoption of Fintech payment services. This finding would enhance the awareness for people to become more open towards the acceptance of Fintech for their daily transactions. Fintech companies are expected to develop into more secure services and design better products in becoming a cashless society. Keywords: UTAUT, consumers’ trust, financial technology, Fintech, Fintech payment services adoption, employed fresh graduates


2021 ◽  
Vol 13 (23) ◽  
pp. 13153
Author(s):  
Fei-Hui Huang

This paper proposes an innovative shared scooter service whereby scooter owners can authorize the rental of their scooters to others through a mobile service platform. It constitutes a public short-distance mobility service for travelers and increases the efficient utilization of each private scooter. The study examines the adoption of scooter-sharing services by travelers and adapts the unified theory of acceptance and use of technology, attitude, and user experience (UX) to investigate the factors that may influence traveler acceptance of scooter-sharing services. The data were collected from Taiwanese travelers who used the shared scooters provided in this study and completed pre- and post-use subjective ratings of the scooter-sharing service (n = 99), analyzed using a hierarchical multiple regression analysis. The results indicate that the model constructs of habit, social influence, and environmental protections may positively affect users’ behavioral intentions toward shared scooters, while performance expectancy and effort expectancy may negatively affect intention to use. Attitudes and UX had no direct effect on intention to use. In light of the findings, recommendations for improving the design of scooter-sharing services, implications for service providers, and a reference basis for the development of future shared micro-mobility services are provided.


2018 ◽  
Vol 20 (1) ◽  
pp. 103-127 ◽  
Author(s):  
Pável Reyes-Mercado

Purpose This paper aims to analyse the adoption of fitness wearables by using the unified theory of acceptance and use of technology (UTAUT). The study analyses the relative weights and causal combinations of antecedent variables on use and intention to use fitness wearables. Design/methodology/approach The study design involves two stages: first, from the perspective of variable-oriented analysis, a structural equation model is tested using partial least squares (PLS) technique on a sample of 176 adopters and a second sample of 187 non-adopters. Second, from the perspective of case-oriented analysis, a fuzzy set qualitative comparative analysis (fsQCA) identifies causal combinations of variables that lead to use of wearables by adopters and intention to use by non-adopters. Findings PLS results show that performance expectancy and effort expectancy have high net effects on use and intention to use for adopters. FsQCA analysis shows that current users follow a streamlined path to adoption. High beliefs on performance expectancy and effort expectancy are the main influences of intention to use a fitness wearable for non-adopters. In contrast to adopters, non-adopters may follow a number of paths to intention to use through performance expectancy, effort expectancy or facilitating conditions. This insight was apparent only after analysing the data sets by using fsQCA. Research limitations/implications For sake of parsimony, this paper tested UTAUT model instead of the more complex unified theory of acceptance and use of technology 2. Practical implications Marketers in the fitness category can enhance use and intention to use by utilising not one but a combination of causal factors such as performance expectancy, effort expectancy and facilitating conditions. Wide societal deployment of wearables depends on performance and expectations. Social implications The widespread use of mobile devices depends on performance expectancy and effort expectancy. To transit to a real knowledge economy, co-creation should occur at early stages of product development so that these expectations are shared and better products be developed. Originality/value This paper offers a nuanced understanding of fitness wearable adoption by analysing adopters and non-adopters through variable- and case-oriented techniques. It complements the one-linear-path perspective with a number of alternative causal combinations of variables that lead to use and intention to use fitness wearables. While the causal path for adopters is unique, there are a number of causal combinations of antecedents that lead to high intention to use in potential adopters.


Sign in / Sign up

Export Citation Format

Share Document