scholarly journals A Hybrid, Data-Driven Causality Exploration Method for Exploring the Key Factors Affecting Mobile Payment Usage Intention

Mathematics ◽  
2021 ◽  
Vol 9 (11) ◽  
pp. 1185
Author(s):  
Ching Ching Fang ◽  
James J. H. Liou ◽  
Sun-Weng Huang ◽  
Ying-Chuan Wang ◽  
Hui-Hua Huang ◽  
...  
Keyword(s):  
Decision Making ◽  
Structural Equation ◽  
Multiple Criteria Decision Making ◽  
Data Driven ◽  
Equation Modeling ◽  
Mobile Payment ◽  
Research Approach ◽  
Validity And Reliability ◽  
Key Factors ◽  
Factors Affecting

Several methodologies for academically exploring causality have been addressed in recent years. The decision-making trial and evaluation laboratory (DEMATEL), one of the multiple criteria decision-making (MCDM) techniques, relies on expert judgements to construct an influential network relation map (INRM), revealing the mutual causes and effects of the criteria and dimensions for presentation of the results in a visual manner. The interactional impacts may be evaluated without considering the presumed hypotheses. The DEMATEL has been successfully utilized to assist in complex decision-making problems in various contexts. However, there is controversy about the reliance upon expert judgements, which could be subjective. Thus, this study seeks to overcome this dispute by developing a data-driven, concept-based novel hybrid model which the authors call SEM-DEMATEL. The model first constructs the direct effects between indicators based on structural equation modeling (SEM) and then utilizes DEMATEL to confirm the interdependence among the variables and identify their causes and effects. Finally, an empirical study exploring the key factors affecting mobile payment usage intention is further conducted to demonstrate the feasibility, validity, and reliability of the novel SEM-DEMATEL research approach. The results identify that the perceived value is the key influencing indicator of m-payment usage intention, and the objectivity and efficiency of the research results are compared.

Trust in Cloud-Based Services: A Framework for Consumer Adoption of Software as a Service

2019 ◽  
Vol 34 (2) ◽  
pp. 65-85
Author(s):  
Lorraine S. Lee ◽  
William D Brink
Keyword(s):  
Structural Equation ◽  
Survey Methodology ◽  
Software As A Service ◽  
Equation Modeling ◽  
Key Factors ◽  
End User ◽  
Factors Affecting ◽  
User Adoption ◽  
Statistical Support ◽  
Confidentiality And Privacy

ABSTRACT Guidelines originating from practice suggest the Trust Services Criteria of security, availability, processing integrity, confidentiality, and privacy should be key factors affecting the trust of cloud-based systems. In our study, we test a model of end-user adoption of cloud-based software as a service (SaaS) by integrating the five principles from the Trust Services Criteria with systems risk. Using a survey methodology to collect data and analyzing it with structural equation modeling, we test hypotheses associated with the model. Our results show statistical support for the factors of security, confidentiality, and privacy as influencing consumers' trust in cloud-based services. Additionally, our results demonstrate trust in cloud-based services negatively influences the perceived systems risk, and these two items (trust and systems risk) significantly influence the decision by end-users to adopt a cloud-based system. Overall, our findings support the use of the Trust Services Criteria for assessing consumers' trust in cloud-based services.

scholarly journals Factors Affecting Loyalty of Mobile Social Networks' Users

2017 ◽  
Vol 13 (1) ◽  
pp. 66-81 ◽  
Author(s):  
Nastaran Hajiheydari ◽  
Babak Hazaveh Hesar Maskan ◽  
Mahdi Ashkani
Keyword(s):  
Social Networks ◽  
Social Network ◽  
Structural Equation ◽  
Online Survey ◽  
Equation Modeling ◽  
Mobile Social Networks ◽  
Mobile Social Network ◽  
Key Factors ◽  
Factors Affecting ◽  
Social Applications

Increasing world-wide trends of using mobile social networks and the rise of competition between different social applications makes it essential for social network providers and marketers to identify the key factors leading to user loyalty. The purpose of this paper is to identify the key factors that affect the loyalty of mobile social networks users. The proposed model was tested through structural equation modeling techniques and an online survey. The sample consisted of 388 mobile social networks users in Iran. The results indicate that sociability, entertainment and fashion are primary drivers of attitude toward a mobile social network. The results also show the significant role of attitude and satisfaction on consumer loyalty. This study helps both marketers and mobile social network providers know the key drivers of customer loyalty in order to tailor their marketing efforts and communication strategies.

scholarly journals Exploring Innovation Adoption Behavior for Sustainable Development: The Case of Hungarian Food Sector

Agronomy ◽  
2020 ◽  
Vol 10 (4) ◽  
pp. 612
Author(s):  
József Tóth ◽  
Giuseppina Migliore ◽  
Jeremiás Máté Balogh ◽  
Giuseppina Rizzo
Keyword(s):  
Decision Making ◽  
Sustainable Development ◽  
Structural Equation ◽  
Innovation Process ◽  
Equation Modeling ◽  
Food Sector ◽  
Factors Affecting ◽  
Innovative Products ◽  
Planned Behavior Theory ◽  
Personal Skills

Innovation plays a key role in the success and sustainable development of businesses. The innovation process derives from the combination of personal skills and company resources that influence food company managers in their choices on innovation (the decision-making process). This study is an attempt to try to understand which psychological constructs affect innovation decision-making in the Hungarian food sector, using the empirical data from a 2017 survey conducted in Hungary among the largest food processing companies. Planned behavior theory (TPB) was applied to the study of factors affecting innovation decision-making. Structural Equation Modeling (SEM) was used for data analysis. The results show that the positive attitude of Hungarian food business leaders towards innovation, evaluation of innovation and the strategic intention of placing innovative products and processes on the market have a positive relationship with innovation performance; however, the lack of adequate research skills, plus specific knowledge and skills is hindering the development of the hoped for process.

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.

Editorial

2016 ◽  
Vol 15 (3) ◽  
pp. v-vi
Author(s):  
Shivi Khanna
Keyword(s):  
Factor Analysis ◽  
Structural Equation ◽  
Gap Analysis ◽  
Equation Modeling ◽  
Validity And Reliability ◽  
Factors Affecting ◽  
Analysis Technique ◽  
Management Institutions ◽  
Major Factors ◽  
Retention Of Teachers

This issue of Ushus—Journal of Business Management brings to you four academically stimulating articles: Sudipta Kumar Jana studies the measure of e-COD payment convenience scale, its validity and reliability and how it affectscustomer loyalty. Research methods like confirmatory factor analysis and structural equation modeling have been applied with the help of SPSS and AMOS.Milind Gawai attempts to chronicle the significant milestones in the development of the concept of ‘Emotional Intelligence,’ tracing its origin from the pioneers to the present time.Dr K Venkata Janardhan Rao and Srivalli Jandhyala article is a study focused on how different food retail stores in Hyderabad metro city manage shopper perception. To analyse the perception level, GAP analysis technique is used.Roy Mathew and Dr S John Manohar study the major factors which influence the teachers to remain in any management institution. The data was collected from 261 teachers from unaided educational institutions in Bengaluru by using a structured questionnaire. Statistical tools used are factor analysis, simple averages, ANOVA and regression. The major factors affecting retention of teachers in management institutions in Bengaluru are Work Environment, Effective Leadership and Empowerment. It was also found that these factors make significant impact on the satisfaction of teachers.We wish you fruitful reading and look forward to a creative and critical feedback from our readers

Key Factors of Community Based Biomass Power Plant Establishment

2016 ◽  
Vol 839 ◽  
pp. 75-80 ◽  
Author(s):  
Krittaphas Mongkoldhumrongkul ◽  
Prapita Thanarak
Keyword(s):  
Power Plant ◽  
Structural Equation ◽  
Power Plants ◽  
Local Community ◽  
Sem Analysis ◽  
Equation Modeling ◽  
Key Factors ◽  
Community Based ◽  
Factors Affecting ◽  
Biomass Power Plant

Biomass plays an important role in reducing fossil energy. It can be utilized in different ways and one of its usages is to produce electricity. However, to benefit from the gains of using biomass power generation, there are several obstacles to overcome for its competent utilization. The performance of community based biomass power plants (CBP) was studied to access the feasibility and sustainability aspects that caused energy security. The objective of this study was to identify the key factors affecting to CBP establishment. The authors designed the tests to make a comprehensive study considering all the factors published in the Science Direct Database during January 2004 to September 2014. The data was obtained using multi-stage sampling from 1,151 people dwelling in the local community. A questionnaire was used as a tool for collecting the data. The output factors were confirmed by undertaking the Structural Equation Modeling (SEM) analysis. The results show a significant influence on 1) technology of biomass gasification power plant; 2) biomass residues; 3) community; and 4) government, policy and investment at p < 0.05. These findings therefore identified the key factors affecting establishment for biomass electricity generation in Thailand. This in turn has helped bring about the causal model for establishing biomass power plant based on sustainability.

scholarly journals Factors Influencing the Principal's Leadership and Its Impact on Learning Quality and Learning Outcome

2020 ◽  
Vol 10 (2) ◽  
pp. 143
Author(s):  
Lucia H. Winingsih ◽  
Agus Amin Sulistiono
Keyword(s):  
Decision Making ◽  
Leadership Training ◽  
Work Experience ◽  
Structural Equation ◽  
State Level ◽  
Professional Organization ◽  
Equation Modeling ◽  
Validity And Reliability ◽  
Collaborative Relationships ◽  
Positive Effects

This study aimed to analyze the factors that influence the variables of Leadership Training (TL), Work Experience (WE), and Student Achievement (LA) in terms of Principal Leadership (PL), and their impact on Learning Quality (LQ) and Learning Outcomes ( LO). The research sample was 120 teachers from six State-level high schools that were categorized as well in three provinces. Data were collected through questionnaires, interviews, and focus group discussions. Specifically, the questionnaire was first tested to determine the level of validity and reliability using the Pearson and Cronbach Alpha product moment test criteria. The study uses structural equation modeling (SEM) analyses. The results show that TL, WE, and LA have positive effects on PL, whereas PL has positive effects on LQ and LO, and LQ has a positive effect on LO. It is recommended that the selection and the recruitment of principal be necessary to consider these variables, in particular the implementation of leadership training and funding assistance to participate in the principal's professional organization. Efforts to develop leadership knowledge and skills need to emphasize the importance of decision-making and risk in school management to make change and progress in the school, increase staff openness and involvement in decision making, open access to school education, and build collaborative relationships within and outside the school.

scholarly journals Does Facebook Commerce Enhance SMEs Performance? A Structural Equation Analysis of Omani SMEs

SAGE Open ◽  
2020 ◽  
Vol 10 (1) ◽  
pp. 215824401990018 ◽  
Author(s):  
Mansour Naser Alraja ◽  
Sarfraz Fayaz Khan ◽  
Basel Khashab ◽  
Raghad Aldaas
Keyword(s):  
Organizational Performance ◽  
Structural Equation ◽  
Quantitative Research ◽  
Small And Medium Enterprises ◽  
Ease Of Use ◽  
Brand Awareness ◽  
Equation Modeling ◽  
Research Approach ◽  
Factors Affecting ◽  
Performance Dimensions

This research aims to identify the factors affecting the adoption of Facebook commerce, in specific the adopted Facebook advertisements for both small and medium enterprises (SMEs) and how this contributes to enhancing such SMEs’ organizational performances. Specifically, ease of use, demographic targeting, interaction, and brand awareness are regarded as the key factors that can influence Facebook’s advertisements adoption. However, three organizational performance dimensions (efficiency, flexibility, and responsiveness) are considered to be the most significant areas of focus in this research. In this study, both the quantitative research approach and the descriptive research design were employed. Data were collected from different SMEs in Muscat and Dhofar in Oman, and the total valid questionnaires suitable for analysis reached 342. The participants were primarily from those who publicize their services through Facebook. Many statistical techniques including exploratory, confirmatory, and structural equation modeling have been adopted in this study; meanwhile, the quantitative data were analyzed using SPSS 25 and AMOS 25 softwares. The findings of this study suggested that the ease of use, demographic targeting, interaction, and brand awareness interpreted 20% of the variance in the Facebook advertisements as the dependent variable. However, Facebook advertisements as an independent variable were found to have a statistically significant effect on the SMEs’ performance dimensions (efficiency, flexibility, and responsiveness) with standard regressions of 0.66, 0.51, and 0.74, respectively, thereby explaining 44% of the variance in the efficiency, 26% of the variance in the flexibility, and 55% of the variance in the responsiveness. Regarding the researchers’ knowledge, this research stands out as the first research to highlight SMEs that measure statistically the relationship between the organizational performance dimensions and Facebook advertising as key social media tools within a unique context—such as Oman as an example of developing countries.

scholarly journals Investigating the Role of Governmental Factors Affecting Social Capital (Case Study: Iraqi Kurdistan)

2021 ◽  
Vol 1 (2) ◽  
pp. 75-91
Author(s):  
Chiman Khayati
Keyword(s):  
Social Capital ◽  
Data Collection ◽  
Structural Equation ◽  
Goodness Of Fit ◽  
Equation Modeling ◽  
Validity And Reliability ◽  
Statistical Population ◽  
Factors Affecting ◽  
Iraqi Kurdistan

Social capital is a latent wealth and property arising from a society's members' mental and psychological readiness to give up personal interests and engage in collective action. Social capital is a form of capital that potentially exists in all human societies. For flourishing and actualizing social capital, factors must be transformed, and special conditions must be satisfied that are seldom and difficult to meet. This study aimed to investigate the factors affecting the strengthening of social capital through the role of government. The study was applied research, and in terms of data collection method, it was a descriptive correlational study. The statistical population of the study was the citizens of Iraqi Kurdistan in 2020. One thousand subjects were selected using the convenience sampling method. The data collection tool was a researcher-made questionnaire. Content validity and measurement model results were used to evaluate the validity and reliability of measurement tools. The questionnaires’ validity and reliability results were confirmed. Structural equation modeling through Smart PLS 3 was used for data analysis. The hypothesis testing results showed that the economy, geography and environment, and culture and society would strengthen social capital through government. According to the value obtained for the model fit index, 0.54, the overall model’s goodness of fit was confirmed.

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