scholarly journals Faktor yang Mempengaruhi Niat Perilaku Muslim Menggunakan Platform Crowdfunding Waqf: Teori UTAUT Model

2021 ◽  
Vol 7 (2) ◽  
Author(s):  
Fellasufah Diniyah

This study aims to examine the determine behavioral intentions influence Muslim using platform crowdfunding waqf by adopting the concept of the Unified Theory of Accaptance and Use of Technology (UTAUT) model. The platform crowdfunding waqf acts as an intermediary between wakif and nadhir waqf in developing a productive waqf project. This study uses primary data collected using an online survey questionnaire and then the analysis used is partial least square (PLS). The results of this study indicate that the variable performance expectations, effort expectations, and facilitating conditions have a positive and significant effect on the intention of Muslim crowdfounders to use waqf crowdfunding platform. Meanwhile, the social influence variable has no positive and significant effect. This study will contribute to the existing literature, especially on the factors that influence the adoption of the waqf-based crowdfunding model.

2020 ◽  
Vol 5 (3) ◽  
pp. 1-19
Author(s):  
Sulaeman Sulaeman ◽  
Sri Yayu Ninglasari

This study aims to examine the behavioral intention of the Muslim crowd funders to use the Zakat-based crowdfunding platform model by adopting the Unified Theory of Acceptance and Use of Technology (UTAUT) Model. The online platform, as an intermediary between Muslim crowd funders and MSMEs, provides financing services for MSMEs to fight any situation/pandemic like COVID-19 nowadays. This study used the primary data collected by using the online survey questionnaires, and then the analysis is conducted using partial least squares (PLS) regression. The empirical study shows that all the variables except for facilitating conditions have a significant positive effect on Muslim crowd funders' intention to use the Zakat-based crowdfunding platform model. The present study will help the government and policymakers to plan appropriate intervention strategies to minimize the adverse impact of the COVID-19 pandemic on MSMEs in Indonesia. Furthermore, the study will contribute to the existing literature, especially on the factors influencing the adoption of the Zakat-based crowdfunding platform model.


Author(s):  
Rino Ardhian Nugroho ◽  
Arlyn Dewi Susilowati ◽  
Okki Chandra Ambarwati ◽  
Arum Pratiwi

This research aimed to analyze factors that affected the acceptance of e-billing system of Surakarta tax office with Unified Theory of Acceptance and Use of Technology (UTAUT) model. The survey was done on electronic billing (e-billing) system users in Surakarta. Partial Least Square-Structural Equation Modelling (PLSSEM) was used to analyze the users’ intention in adopting e-billing system. The result indicates that two UTAUT variables (performance expectancy and social influence) affect the system usage significantly. Meanwhile, the other variables like effort expectancy and facilitating conditions do not affect e-billing system adoption in Indonesia.


2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Chiara Barchielli ◽  
Cristina Marullo ◽  
Manila Bonciani ◽  
Milena Vainieri

Abstract Background Several technological innovations have been introduced in healthcare over the years, and their implementation proved crucial in addressing challenges of modern health. Healthcare workers have frequently been called upon to become familiar with technological innovations that pervade every aspect of their profession, changing their working schedule, habits, and daily actions. Purpose An in-depth analysis of the paths towards the acceptance and use of technology may facilitate the crafting and adoption of specific personnel policies taking into consideration definite levers, which appear to be different in relation to the age of nurses. Approach The strength of this study is the application of UTAUT model to analyse the acceptance of innovations by nurses in technology-intensive healthcare contexts. Multidimensional Item Response Theory is applied to identify the main dimensions characterizing the UTAUT model. Paths are tested through two stage regression models and validated using a SEM covariance analysis. Results The age is a moderator for the social influence: social influence, or peer opinion, matters more for young nurse. Conclusion The use of MIRT to identify the most important items for each construct of UTAUT model and an in-depth path analysis helps to identify which factors should be considered a leverage to foster nurses’ acceptance and intention to use new technologies (o technology-intensive devices). Practical implications Young nurses may benefit from the structuring of shifts with the most passionate colleagues (thus exploiting the social influence), the participation in ad hoc training courses (thus exploiting the facilitating conditions), while other nurses could benefit from policies that rely on the stressing of the perception of their expectations or the downsizing of their expectancy of the effort in using new technologies.


Author(s):  
Frederick Pobee

This study investigated the factors that influence Ghanaian entrepreneurs to adopt e-commerce. Cross-sectional data was gathered from 520 entrepreneurs in the most populous and industrious regions in Ghana. The unified theory of acceptance and use of technology (UTAUT) was employed to effectively understand the unexplored phenomenon of e-commerce adoption among Ghanaian entrepreneurs. Partial Least Square-Structural Equation Modeling (PLS-SEM) was used to test the hypothesized relationships. The findings indicate that performance expectancy, effort expectancy, and social influence (SI) positively and significantly influenced the behavioral intention (BI) to adopt e-commerce. Facilitating conditions (FC) and BI had a significant positive relationship with the adoption of e-commerce.


2020 ◽  
pp. 203-218
Author(s):  
Sulaeman Sulaeman ◽  
Sri Yayu Ninglasari

ABSTRACT This study aims to examine the behavioral intention of the Muslim crowd funders to use the Zakat-based crowdfunding platform model by adopting the concept of the Unified Theory of Acceptance and Use of Technology (UTAUT) Model. The platform model, as an intermediary between Muslim crowd funders and MSMEs, provides financing services for MSMEs to fight any kind of situation/pandemic like COVID-19 nowadays. This study used the primary data that is collected by using the online survey questionnaires, and then the analysis is conducted using partial least squares (PLS) regression. The empirical study shows that all the variables except for facilitating conditions have a significant positive effect on the intention of Muslim crowd funders to use the Zakat-based crowdfunding platform model. The present study will help the government and policymakers to plan appropriate intervention strategies to minimize the adverse impact of the COVID-19 pandemic on MSMEs in Indonesia. Furthermore, the study will contribute to the existing literature especially on the factors influencing the adoption of the Zakat-based crowdfunding platform model.


2015 ◽  
Vol 115 (2) ◽  
pp. 311-331 ◽  
Author(s):  
Aik-Chuan Teo ◽  
Garry Wei-Han Tan ◽  
Keng-Boon Ooi ◽  
Teck-Soon Hew ◽  
King-Tak Yew

Purpose – The purpose of this paper is to uncover the effects of perceived transaction convenience (PTC) and perceived transaction speed (PTS) on unified theory of acceptance and use of technology (UTAUT) in the context of m-payment. Design/methodology/approach – A predictive analysis approach was used to examine the PTC and PTS using a two-stage partial least square (PLS) and neural network (NN) analyses. Findings – The findings reveal that only effort expectancy (EE) and facilitating conditions (FC) were discovered to significantly influence BI. More importantly, PTC was found to have positive significant relationship with EE and performance expectancy (PE). Moreover, PTS also supported the positive relationship with BI and EE. Practical implications – The findings of the study provided further insights to mobile payment service providers, online banking industry players, and all decision makers and stakeholders involved. Originality/value – Despite of many attempts devoted to understand m-payment adoption, the effects of PTC and PTS on m-payment are not well understood.


2020 ◽  
Vol 9 (4) ◽  
pp. 55
Author(s):  
Dalal Bamufleh ◽  
Reem Hussain ◽  
Eman Sheikh ◽  
Khlood Khodary

As a new trend in learning, simulation games play an active and essential role in the area of educational technology. Gaming makes a positive impact on the learning process. It has the capability to enhance creativity, problem-solving, communication, decision-making, and collaboration (Faizan et al., 2015). This paper is aimed at exploring the factors that affect students’ acceptance and use of simulation games in management courses. In this study, the unified theory of acceptance and use of technology (UTAUT) is utilized to investigate students’ intentions regarding using simulation games for learning. The proposed model and its hypotheses are tested by surveying 115 students at Yanbu University College in Saudi Arabia. Data are gathered and analyzed using smart partial least square. After analysis, the results prove that performance expectancy, effort expectancy, and social influence have positive effects on behavioral intentions (BI) and that facilitating conditions have a positive impact on use behavior (UB). In addition, a positive effect is found between BI and UB. The authors utilize the study findings to highlight some recommendations that could improve the implementation of simulation games. Finally, future studies are recommended to increase the sample size for more reliable results and conclusions.


2021 ◽  
Author(s):  
Monizaihasra Mohamed ◽  
◽  
N Alia Fahada W Ab Rahman ◽  
Farizah Sulong ◽  
◽  
...  

The goal of this study is to investigate the underlying factors that influence an employees’ decision to use robots at work. The Unified Theory of Acceptance and Use of Technology (UTAUT) was used in this study. This theory assumes that people’s actual behaviour and willingness to utilise technology is influenced by four underlying elements, namely performance expectancy (PE), effort expectancy (EE), social influence (SI) and facilitating conditions (FC). Based on this assumption, the specific objective of this study is to investigate the relationship between these factors and a fast-food restaurants employees’ intent to use robots at work. The role of gender as a moderator in each of these interactions was also considered in this study. Based on data acquired from an online survey, the stated hypotheses were tested using the Partial Least Square (PLS) approach. The findings revealed that performance expectancy and social influence enhances an employees’ intention to use robots at work. It also showed that there was no moderation effect in the proposed model. This study presents empirical facts and direction to managers in the fast-food industry in Malaysia, researchers and practitioners regarding the adoption of robots or technology-based services at work. Theoretical advances as well as prospective research directions are also explored.


Author(s):  
Lu Lin Zhou ◽  
Joseph Owusu-Marfo ◽  
Henry Asante Antwi ◽  
Maxwell Opuni Antwi ◽  
Arielle Doris Tetgoum Kachie ◽  
...  

Abstract Background Hospital electronic information management systems (HEIMS) are widely used in Ghana, and hence its performance must be carefully assessed. Nurses as clinical health personnel are the largest cluster of hospital staff and are the pillar of healthcare delivery. Therefore, they play a crucial role in the adoption and assessment of HEIMSs in Ghana. This report sought to assess the “Social Influence” (SI) and “Facilitating Conditions” (FC) that support Nurses’ Acceptance of HEIMS in Ghana using the “Unified Theory of Acceptance and Use of Technology” (UTAUT) model. Methods This study applied a non-experimental survey design. An electronic platform questionnaire on smartphones was used to collect data on 660 nurses. Statistically, AMOS Structural Equation Modelling (SEM) version 22.0 was employed to examine the research model. Results “Behavioral Intention” (BI) to HEIMS use was significantly predicted by SI and FC (p < 0.001). Notably, both SI and FC had an influence on nurses’ use behavior (UB) with behavioral intention (BI) as the mediator, which explains a total of 42.1% variance in the intention of nurses to use HEIMS. Likewise, UB of HEIMS was also significantly predicted by SI (R2 = 43.2) and BI (R2 = 0.39.6) with both constructs explaining a total of 51.7% of the variance in nurses’ acceptance to use HEIMS. Conclusion Nurses’ adoption of HEIMS in terms of the UB was influenced by SI and BI, whiles SI and FC had the strongest influence on BI (serving as mediator) of UB to adopt and use HEIMS among the nurses in Ghanaian hospitals.


2019 ◽  
Vol 10 (2) ◽  
pp. 96 ◽  
Author(s):  
Abeer Bin Humaid ◽  
Yasser Sabri

Social media is becoming a major development in electronic commerce among a wide range of sectors, for example, education, government, health care, and business. In Saudi Arabia, a major movement toward social media has taken place, especially among small business entrepreneurs, due to its low cost and the powerful role it can play in globalization.The goal of this paper is to add to the theoretical knowledge base regarding the adoption of social media among Saudi small businesses, by applying the Unified Theory of Acceptance and Use of Technology (UTAUT) model to examine the influences of Saudi small businesses’ social media adoption. An empirical study was carried out using online survey research among 73 Saudi business entrepreneurs. The major findings of the paper are that Saudi small business entrepreneurs tend to use social media for the major constructs of performance expectancy, effort expectancy, social influence, and facilitating conditions. However, although the moderator of gender proved to be effective on the construct of effort expectancy, the effects of the moderators of age, gender, and experience on the other major constructs were not salient.It is believed that the findings will be useful for understanding adoption phenomena better, to help business entrepreneurs to make superior decisions based on them.


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