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.

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 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.

scholarly journals Identify and Prioritize the Key Success Factors in the Establishment of Crowdsourced Systems

2016 ◽  
Vol 10 (6) ◽  
pp. 105
Author(s):  
Ali Bonyadi Naeini ◽  
Amin Reza Atashkar
Keyword(s):  
Structural Equation ◽  
Success Factors ◽  
Research Evaluation ◽  
Equation Modeling ◽  
Key Factors ◽  
Car Industry ◽  
Factors Affecting ◽  
Key Success Factors ◽  
Proposed Model ◽  
The Relationship

This study sought to determine the key factors affecting the success of crowdsourcing. In this study, both exploratory and confirmatory examined and finally, structural equation modeling was used to validate the proposed model. In this study, we tried to investigate key elements in the organization, the conceptual framework for the relationship between these factors be addressed. This study aimed to evaluate the identification and prioritization of the key success factors in the establishment of crowdsourcing was used in the automotive industry and purpose of the survey and questionnaires were used. The population in this study, car industry executives. As expressed in the research evaluation experts has been used. To investigate the relationship for each of the relationships shown in the model, the model analysis of Amos Software was used. The findings of this research to the development of crowdsourcing to help organizations, because it has tried to provide empirical evidence and in accordance with the terms of the Iranian executive model, the model organizations in order to be able to managers and planners given the circumstances and the amount of resources and organizational priorities of the development and implementation of projects of crowdsourcing to take better decisions.

Factors Affecting the Use and Consequences of Management Accounting Practices in A Transitional Economy: The Case of Vietnam

2016 ◽  
pp. 54-73 ◽  
Author(s):  
Anh Doan Ngoc Phi
Keyword(s):  
Significant Influence ◽  
Quantitative Data ◽  
Structural Equation ◽  
Qualitative Data ◽  
Management Accounting ◽  
Transitional Economy ◽  
Equation Modeling ◽  
Enterprise Performance ◽  
Factors Affecting

This study seeks to help fill an important gap in the literature by investigating factors that have facilitated the use of management accounting practices (MAPs) in Vietnam - a transitional economy. Data were collected from 220 medium-to-large enterprises. Follow-up interviews were conducted with 20 accounting heads/vice heads to obtain further information and clarification. The quantitative data collected was analyzed using both descriptive and inferential statistics (including t-tests and structural equation modeling), while the qualitative data was used to shed further light on the various relationships described by the quantitative analysis. This paper reveals that both decentralization and competition have a positive, significant influence on the use of new MAPs except for the old ones. Consequently, the use of MAPs has a positive, significant influence on enterprise performance.

Key Factors for Green IS Acceptance in Banking Segment

2021 ◽  
Vol 17 (1) ◽  
pp. 48-67
Author(s):  
Monika Singh ◽  
Ganesh P. Sahu
Keyword(s):  
Literature Review ◽  
Structural Equation ◽  
Harmful Effect ◽  
Uttar Pradesh ◽  
Equation Modeling ◽  
Key Factors ◽  
Green Is ◽  
And Performance ◽  
Green Information Systems ◽  
Almost All

Almost all service organizations are now well aware about global warming and advantages of green information systems (Green IS) in order to gain social and economic profit at the cost of no harmful effect on environment. Recurrent annotations in the literature have explored that for successful Green IS adoption certain keys factors are required to be considered and followed in various organizations. This paper reviews, analyzes, and corroborates 11 key factors empirically that are accountable for successful adoption of Green IS and performance improvement achievement of banking segments with special reference to the banks positioned at Lucknow, Uttar Pradesh, India. Eleven key factors are identified via in-depth literature review and examined using UTAUT2 and T-O-E models. Analysis of Moment Structure 21.0-Structural Equation Modeling tool is used in the study for data analysis and corroboration. The study will enrich the literature review in this field; also, it will be helpful to the decision makers and practitioners in different segments for successful adoption of Green IS in organizations.

Consumer behaviour towards willingness to pay for Halal products

2019 ◽  
Vol 121 (2) ◽  
pp. 492-504 ◽  
Author(s):  
Waqar Ahmed ◽  
Arsalan Najmi ◽  
Hafiz Muhammad Faizan ◽  
Shaharyar Ahmed
Keyword(s):  
Willingness To Pay ◽  
Structural Equation ◽  
Quantitative Research ◽  
Reasoned Action ◽  
Raw Material ◽  
Equation Modeling ◽  
Muslim Country ◽  
Policy Makers ◽  
Content Type ◽  
Factors Affecting

PurposeThe purpose of this paper is to empirically analyze the factors affecting Muslim consumers’ willingness to pay (WTP) for Halal food, products and operations by employing theory of reasoned action.Design/methodology/approachThis study has used quantitative research methodology and collected data from 350 questionnaires from a densely populated city of Pakistan. Partial least squares-structural equation modeling was used to analyze the data.FindingsThe results show that the concerns about Halal, religiosity, perception of usefulness of Halal and product ingredients have a significant impact on WTP for Halal foods, while attitude has an insignificant impact on WTP. Moreover, the extent of demand for Halal certification is significantly affected by WTP.Originality/valueThe study highlighted the concerns of the Muslim consumers with respect to Halalness of the products and operations despite living in a Muslim country. It is recommended that the policy makers, food authorities and health institutions should conduct regular inspections of foods, products and producers’/manufacturers’ operations to ensure that all the procedures from manufacturing of the raw material till the finished goods follow Islamic principles to make them completely Halal.

scholarly journals Evaluating the Human Resource Management Practices Effectiveness and Providing a Comprehensive Model (The Case of Nir Pars Company)

2013 ◽  
Vol 3 (3) ◽  
pp. 72 ◽  
Author(s):  
Davood Ghiyasvand ◽  
Hadi Teimouri ◽  
Reza Ansari
Keyword(s):  
Human Resources ◽  
Business Intelligence ◽  
Structural Equation ◽  
Management Practices ◽  
Survey Methodology ◽  
Reliability And Validity ◽  
Simple Random Sampling ◽  
Equation Modeling ◽  
Comprehensive Model ◽  
Statistical Population

Nowadays, as organizations advance towards development and progress, the need for efficient labor will be more noticeable. In such circumstances, the success of organizations in economic, cultural, social and governmental interactions is due to competence and effectiveness of Human resources and in fact human resources are the major assistance in achieving organizational goals and improving performance.The purpose of this article is to explore the level of business intelligence and propose a comprehensive model for Nir Pars Company in Tehran. This is an applied, descriptive-correlation research, conducted by survey methodology. A collection of 400 experts and managers of different organizational levels of Nir Pars Company were the statistical population of the study and a batch of 225 persons were chosen by simple random sampling as the research sample. Library method was used for data collection to form the theoretical foundations of the research, and we used our own questionnaire to confirm or refute the research hypotheses; which has the required reliability and validity (Cronbach's alpha coefficient of 0.961). To explore the relationships between the elements of the Model, factor analysis and structural equation modeling techniques were used. According to achieved results, the level of business intelligence exceeds the allowable amount (0.78 for all parameters of the model). 

scholarly journals The Identification of Factors Affecting the Use of Pressurized Irrigation Systems by Farmers in Iran

Water ◽  
2018 ◽  
Vol 10 (11) ◽  
pp. 1532 ◽  
Author(s):  
Abdullah Momvandi ◽  
Maryam Omidi Najafabadi ◽  
Jamal Hosseini ◽  
Farhad Lashgarara
Keyword(s):  
Structural Equation ◽  
Agricultural Sector ◽  
Water Productivity ◽  
Equation Modeling ◽  
Path Coefficient ◽  
Mixed Method Research ◽  
Statistical Research ◽  
Irrigation Systems ◽  
Factors Affecting ◽  
Pressurized Irrigation

Climate change and water scarcity are the most important challenges of the agricultural sector, and pressurized irrigation systems (PISs) are one of the most significant ways to improve agricultural water productivity. The main purpose of this research was to identify the factors affecting the use of PISs by farmers. The statistical research population was a total of 2396 Iranian model farmers. The Cochran formula was used to determine the number of statistical samples. Accordingly, this comprised 331 people. The methodology of the study was mixed method research. The structural equation modeling technique, Mann–Whitney U, and Kruskal–Wallis tests were used to test the hypotheses. The results showed that the personal characteristics, tendency, attitude, self-efficacy, subjective norms, governmental support, environmental tensions, and technological features were the most important factors which influenced the farmers. It was found that all of these variables had a positive and significant relationship with the using of PISs by farmers, and they were able to predict 52% of the behavioral changes (R2) of the farmers. Among these variables, the attitude, with a path coefficient (β) of 0.48, had the highest impact on the using of PISs by the farmers.

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