scholarly journals Determining Factors Affecting Customer Intention to Use Rooftop Solar Photovoltaics in Indonesia

2021 ◽  
Vol 14 (1) ◽  
pp. 280
Author(s):  
Dafit Bagus Maha Bekti ◽  
Yogi Tri Prasetyo ◽  
Anak Agung Ngurah Perwira Redi ◽  
Arif S. Budiman ◽  
I Made Putra Loka Mandala ◽  
...  
Keyword(s):  
Supply Chain ◽  
Structural Equation ◽  
Equation Modeling ◽  
Intention To Use ◽  
Solar Panels ◽  
Online Questionnaire ◽  
Factors Affecting ◽  
Solar Photovoltaics ◽  
Sustainable Resources ◽  
Rooftop Solar

Many developing countries on the equator, including Indonesia, have the potential for renewable and sustainable resources, such as solar energy. However, despite the enormous potential, the adoption level remains low. Previously, several studies discussed the potential, the feasibility, and the supporting policy of this technology, but none have been discussed from the customers’ perspective on a national scale. Therefore, this study attempts to determine the factors affecting the customers’ intention to use solar photovoltaics in Indonesia to develop a sustainable circular supply chain for renewable energy. This investigation was conducted based on integrating the unified theory of acceptance and use of technology 2 (UTAUT2) and the theory of planned behaviour (TPB). Furthermore, an online questionnaire was successfully distributed with a total of 208 participants. Structural equation modeling (SEM) was utilized to derive the causal relationships of the proposed hypotheses. The results indicated that price value (PV) has a positive relationship and a significant influence on attitude toward use (ATU), which leads to the behavioral intention (BI) to make the construct the most affecting factor. This is the first comprehensive study to analyze the intention to use rooftop solar panels based on the UTAUT2 and TPB framework. The successful approach to support photovoltaic use will bring less waste and strengthen the circular supply chain to support sustainable development.

scholarly journals Factors Affecting Organizations’ Resistance to the Adoption of Blockchain Technology in Supply Networks

2020 ◽  
Vol 12 (21) ◽  
pp. 8882 ◽  
Author(s):  
Daeheon Choi ◽  
Chune Young Chung ◽  
Thou Seyha ◽  
Jason Young
Keyword(s):  
Supply Chain ◽  
Structural Equation ◽  
New Technologies ◽  
Equation Modeling ◽  
Sustainable Supply Chain ◽  
Supply Networks ◽  
Factors Affecting ◽  
Supply Chain Networks ◽  
Blockchain Technology ◽  
Technological Barriers

From a supply chain perspective, new technologies such as blockchain can improve the efficiency and competitiveness of logistics and increase customer satisfaction. Although blockchain technology has been lauded as a way for firms to build sustainable supply chain networks, the rate of acceptance of this technology remains low. Therefore, this study seeks to identify the factors that discourage firms from merging blockchain with the supply chain. Instead of providing further reasons for adopting blockchain technology, we try to understand what deters firms from adding blockchain to their operations. Following the deductive approach, a confirmatory factor analysis is conducted on pre-test questionnaires to test, improve, and verify the constructs (questions) to measure the hypothesized factors. A theoretical model is proposed based on the hypotheses, and structural equation modeling is applied. The results are estimated using the partial least squares approach and a sample of 83 respondents. Our findings based on our empirical data support most of our hypotheses. We find that various factors impede the adoption of blockchain technologies, including technological barriers, constraints rooted in organizations and the environment, and system-related governmental barriers. In addition, various factors are critical determinants of resistance to blockchain in the technological, organizational, and environmental dimensions.

scholarly journals Mobile Payment Adoption in the Age of Digital Transformation: The Case of Apple Pay

2020 ◽  
Vol 12 (13) ◽  
pp. 5443 ◽  
Author(s):  
Francisco Liébana-Cabanillas ◽  
Inmaculada García-Maroto ◽  
Francisco Muñoz-Leiva ◽  
Iviane Ramos-de-Luna
Keyword(s):  
Structural Equation ◽  
Payment System ◽  
Equation Modeling ◽  
Mobile Payment ◽  
Intention To Use ◽  
Online Questionnaire ◽  
Business World ◽  
Mobile Payments ◽  
Widespread Acceptance ◽  
Apple Pay

Current developments in information technology and communications, as well as the significant transformations the business world is being forced to make, are generating an opportunity for widespread acceptance of mobile payments. The present research analyzes the intention to use the Apple Pay mobile payment system, as well as contextualizing and evaluating the different antecedents of its use. To carry out the research, 539 users were invited to respond to an online questionnaire, and an analysis of structural equation modeling was used. The results indicate that perceived value is the variable that most influences the intention to use the proposed payment system, followed by perception of utility and risk. This work has important implications for companies in the sector.

scholarly journals FinTech in COVID-19 and Beyond: What Factors Are Affecting Customers’ Choice of FinTech Applications?

2020 ◽  
Vol 6 (4) ◽  
pp. 153 ◽  
Author(s):  
Mohammad K. Al nawayseh
Keyword(s):  
Financial Services ◽  
Structural Equation ◽  
Service Providers ◽  
Equation Modeling ◽  
Intention To Use ◽  
Factors Affecting ◽  
Modeling Techniques ◽  
Customer Trust ◽  
The Relationship

Accessing financial services is considered one of the main challenges facing communities during crises. This research studies the role of using FinTech applications to build resilience during the COVID-19 pandemic. The research empirically examines the factors affecting Jordanian citizens’ intention to use FinTech applications. The sample of the research comprised 500 potential FinTech service users in Jordan. Based on the research conceptual model, five hypotheses were developed and tested using structural equation modeling techniques (SEM-PLS). The research results indicate that perceived benefits and social norms significantly affect the intention to use FinTech applications. However, it has been found that perceived technology risks do not significantly affect the intention to use FinTech applications. Moreover, the results also indicate that customer trust is significantly mediating the relationship between perceived risks and intention to use FinTech applications. FinTech service providers should insure that their products are easy to use, fulfill needs and protect consumers’ data in order to ensure trust, hence positively influencing consumer adoption.

scholarly journals Factors affecting the acceptance of blended learning in medical education: application of UTAUT2 model

2020 ◽  
Vol 20 (1) ◽  
Author(s):  
Seyyed Mohsen Azizi ◽  
Nasrin Roozbahani ◽  
Alireza Khatony
Keyword(s):  
Medical Education ◽  
Blended Learning ◽  
Behavioral Intention ◽  
Structural Equation ◽  
Equation Modeling ◽  
Intention To Use ◽  
Validity And Reliability ◽  
Cross Sectional ◽  
Factors Affecting ◽  
Behavioral Intention To Use

Abstract Background Blended learning is a new approach to improving the quality of medical education. Acceptance of blended learning plays an important role in its effective implementation. Therefore, the purpose of this study was to investigate and determine the factors that might affect students’ intention to use blended learning. Methods In this cross-sectional, correlational study, the sample consisted of 225 Iranian medical sciences students. The theoretical framework for designing the conceptual model was the Unified Theory of Acceptance and Use of Technology 2 (UTAUT2). Venkatesh et al. (2012) proposed UTAUT2 as a framework to explain a person’s behavior while using technology. Data were analyzed using SPSS-18 and AMOS-23 software. Structural equation modeling technique was used to test the hypotheses. Results The validity and reliability of the model constructs were acceptable. Performance Expectance (PE), Effort Expectance (EE), Social Influence (SI), Facilitating Conditions (FC), Hedonic Motivation (HM), Price Value (PV) and Habit (HT) had a significant effect on the students’ behavioral intention to use blended learning. Additionally, behavioral intention to use blended learning had a significant effect on the students’ actual use of blended learning (β = 0.645, P ≤ 0.01). Conclusion The study revealed that the proposed framework based on the UTAUT2 had good potential to identify the factors influencing the students’ behavioral intention to use blended learning. Universities can use the results of this study to design and implement successful blended learning courses in medical education.

scholarly journals Enhancing Smart System Platforms; Factors Affecting People's Intentions toward Smart Homes in Jordan

2022 ◽  
Vol 18 (1) ◽  
pp. 0-0
Keyword(s):  
Social Life ◽  
Structural Equation ◽  
Best Practice ◽  
Descriptive Analysis ◽  
Modern Society ◽  
Equation Modeling ◽  
Intention To Use ◽  
Factors Affecting ◽  
Smart Systems ◽  
The Social

Smart systems are going to transform the social life of modern society. Notwithstanding the benefits of these systems, its use is still low in developing world including Jordan. This study aims to construct a novel model to identify the factors that affect people’s intention to use smart systems in their homes. A survey was conducted on 650 individuals among which 550 valid questionnaires were considered in Jordan. The collected data were analyzed for descriptive analysis and further to valid the hypothesis using Structural Equation Modeling. The findings showed that there is a significant relationship between individuals’ attitudes related to PU and PEOU with their intention toward using smart systems in their lifestyle. It indicated that the research model explains 68.6% of the variance in the individual’s intention to use smart systems in their residence. Practically, it fruitful to the top management of IT companies that offers smart systems. Moreover, enhancing the current systems and organizing a strategic plan for implementation within best practice.

scholarly journals The role of relationship quality and loyalty between rice farmers and food companies in supply chain

2021 ◽  
Vol 9 (4) ◽  
pp. 851-856 ◽  
Author(s):  
Quoc Nghi Nguyen ◽  
Van Nam Mai
Keyword(s):  
Supply Chain ◽  
Relationship Quality ◽  
Structural Equation ◽  
Mekong Delta ◽  
Equation Modeling ◽  
Factors Affecting ◽  
Rice Farmers ◽  
Perceived Benefit ◽  
Impacting Factors

Relationship quality plays a key role in maintaining the connection among parties in a supply chain. Relationship quality promotes loyalty of the supply chain’s factors. This study applies structural equation modeling (SEM) to point out factors affecting the relationship quality and loyalty between farmers and food companies in the rice supply chain. The research data were collected by stratified sampling with a sample size of 232 farmers associating with food companies in the rice supply chain in the Mekong Delta. The four impacting factors that the study has found out include trust, perceived benefit, support policy, and payment terms. Most importantly, the study has demonstrated that relationship quality has a positive correlation with loyalty among parties in the regional rice supply chain.

An Exploration of Pre-Service Teachers' Intention to Use Mobile Devices for Teaching

2015 ◽  
Vol 7 (3) ◽  
pp. 1-17 ◽  
Author(s):  
Jung Won Hur ◽  
Ying W. Shen ◽  
Ugur Kale ◽  
Theresa A. Cullen
Keyword(s):  
Mobile Devices ◽  
Structural Equation ◽  
Online Survey ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Equation Modeling ◽  
Intention To Use ◽  
Perceived Ease Of Use ◽  
Factors Affecting ◽  
The Us

Teachers in the US have been increasingly adopting mobile devices for teaching, but little research has examined how pre-service teachers perceive mobile device integration in classrooms. To address this issue, the study developed a research model that explained factors affecting pre-service teachers' intention to use mobile devices and the relationship among the factors. A total of 386 pre-service teachers participated in an online survey, and the model was tested using structural equation modeling. The results showed that 72.5% of variances in pre-service teachers' intention to use mobile devices were explained by perceived usefulness and self-efficacy for technology integration jointly, where perceived usefulness was the strongest predictor. The findings also demonstrated that constructivist beliefs and perceived ease of use indirectly influenced pre-service teachers' intention to use mobile devices for teaching.

scholarly journals Determining Factors Affecting the Acceptance of Medical Education eLearning Platforms during the COVID-19 Pandemic in the Philippines: UTAUT2 Approach

Healthcare ◽  
2021 ◽  
Vol 9 (7) ◽  
pp. 780
Author(s):  
Yogi Tri Prasetyo ◽  
Ralph Andre C. Roque ◽  
Thanatorn Chuenyindee ◽  
Michael Nayat Young ◽  
John Francis T. Diaz ◽  
...  
Keyword(s):  
Medical Education ◽  
Medical Students ◽  
Behavioral Intention ◽  
Structural Equation ◽  
The Philippines ◽  
Equation Modeling ◽  
Online Questionnaire ◽  
Factors Affecting ◽  
Use Of Technology ◽  
Instructor Characteristics

eLearning has been the medium of delivery of medical educational institutions to address the scarcity of medical professionals during the COVID-19 pandemic. In this study, the Unified Theory of Acceptance and Use of Technology (UTAUT2) was extended to determine the factors affecting the acceptance of eLearning platforms to medical education in the Philippines during the COVID-19 pandemic. A total of 360 medical students voluntary participated and answered an online questionnaire that consisted of 40 questions. Structural Equation Modeling (SEM) indicated that performance expectancy was found to have the highest effect on behavioral intention, which was followed by learning value and instructor characteristics. A high behavioral intention was found to affect the actual use of eLearning platforms. Interestingly, social influence and habit were found not to be significant to behavioral intentions. This study is the first study that has explored the acceptance of eLearning platforms among medical students in the Philippines during the COVID-19 pandemic. The findings can be a theoretical guideline of the Commission on Higher Education of the Philippines for eLearning platforms. Finally, the framework would be very valuable for enhancing the open innovation in eLearning platforms in medical fields worldwide.

scholarly journals Factors Affecting Sustainable Intention to Use Mobile Banking Services

SAGE Open ◽  
2021 ◽  
Vol 11 (3) ◽  
pp. 215824402110299
Author(s):  
Phaninee Naruetharadhol ◽  
Chavis Ketkaew ◽  
Niracha Hongkanchanapong ◽  
Piranat Thaniswannasri ◽  
Techin Uengkusolmongkol ◽  
...  
Keyword(s):  
Technology Acceptance ◽  
Structural Equation ◽  
Equation Modeling ◽  
Intention To Use ◽  
Mobile Banking ◽  
Banking Services ◽  
Factors Affecting ◽  
Self Service ◽  
Acceptance Model ◽  
Self Service Technology

This study aims to (a) identify perception factors that affect current mobile banking (M-banking) consumers’ continuous use of the technology, (b) explain the self-service technology (STT) dimensions that affect customers’ behavioral intention, and (c) be able to offer recommendations to the banking industry or other organizations related to M-banking in terms of developing M-banking services in the future. Analyzed data were collected from 688 existing Thai M-banking users through online questionnaires. This study used the SPSS and AMOS statistical programs to analyze the data by applying structural equation modeling based on SSTs’ service qualities and the technology acceptance model (TAM). From the results, this analysis shows positive and significant relationships among SSTs’ service qualities, perception, and sustainable intention to use M-banking services. This study provides vital knowledge related to essential characteristics of M-banking as an STT that could assist banking institutions and application providers in enhancing their M-banking products. Moreover, this study adds to the knowledge area of SSTs’ service qualities in financial mobile application dimensions.

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