Investigating the Determinants of Decision-Making on Adoption of Public Cloud Computing in E-Government

2019 ◽  
pp. 1809-1828
Author(s):  
Juhua Wu ◽  
Fang Ding ◽  
Meng Xu ◽  
Zan Mo ◽  
Anran Jin
Keyword(s):  
Decision Making ◽  
Cloud Computing ◽  
Structural Equation ◽  
Chinese Culture ◽  
Equation Modeling ◽  
Public Cloud ◽  
Adoption Theory ◽  
Technical Factors ◽  
Management Factors ◽  
It Decision Making

This article analyzed decision-making in terms of the adoption of public cloud computing and its determinants in the context of e-government. The authors proposed a theoretical model and related hypotheses after reviewing the literature and combining technology adoption theory with IT decision-making authority theory. Then, they collected samples from 227 public sectors and tested hypotheses using structural equation modeling. The results show that the determinants of the three modes (IaaS, SaaS, and PaaS) of decision-making on adoption are different. The significant determinants of IaaS adoption include technical factors and business factors, those of PaaS adoption include technical factors and management factors, whereas those of SaaS include technical factors, business factors and management factors. The authors also find managerial/controlling power, which characterizes the special nature of Chinese culture, only have a significant influence on the decision-making on adoption of PaaS mode and SaaS mode.

Investigating the Determinants of Decision-Making on Adoption of Public Cloud Computing in E-government

2016 ◽  
Vol 24 (3) ◽  
pp. 71-89 ◽  
Author(s):  
Juhua Wu ◽  
Fang Ding ◽  
Meng Xu ◽  
Zan Mo ◽  
Anran Jin
Keyword(s):  
Decision Making ◽  
Cloud Computing ◽  
Structural Equation ◽  
Chinese Culture ◽  
Equation Modeling ◽  
Public Cloud ◽  
Adoption Theory ◽  
Technical Factors ◽  
Management Factors ◽  
It Decision Making

This article analyzed decision-making in terms of the adoption of public cloud computing and its determinants in the context of e-government. The authors proposed a theoretical model and related hypotheses after reviewing the literature and combining technology adoption theory with IT decision-making authority theory. Then, they collected samples from 227 public sectors and tested hypotheses using structural equation modeling. The results show that the determinants of the three modes (IaaS, SaaS, and PaaS) of decision-making on adoption are different. The significant determinants of IaaS adoption include technical factors and business factors, those of PaaS adoption include technical factors and management factors, whereas those of SaaS include technical factors, business factors and management factors. The authors also find managerial/controlling power, which characterizes the special nature of Chinese culture, only have a significant influence on the decision-making on adoption of PaaS mode and SaaS mode.

scholarly journals Autism Spectrum Disorders: Prenatal Genetic Testing and Abortion Decision-Making among Taiwanese Mothers of Affected Children

2020 ◽  
Vol 17 (2) ◽  
pp. 476
Author(s):  
Wei-Ju Chen ◽  
Shixi Zhao ◽  
Tse-Yang Huang ◽  
Oi-Man Kwok ◽  
Lei-Shih Chen
Keyword(s):  
Decision Making ◽  
Autism Spectrum Disorders ◽  
Genetic Testing ◽  
Structural Equation ◽  
Chinese Culture ◽  
Susceptibility Genes ◽  
Autism Spectrum ◽  
Equation Modeling ◽  
Prenatal Genetic Testing ◽  
Spectrum Disorders

With the rapid growing rate of autism spectrum disorders (ASDs), prenatal genetic testing (PGT) has been offered to detect various genomic disorders, including ASD, in Taiwan. However, disparities exist in this area, as there is limited research on factors associated with PGT utilization and relevant decision-making that may guide the regulations and ethical guidelines for culturally appropriate PGT services in Taiwan. This study proposed a comprehensively integrated theoretical framework for examining the intention to undergo PGT to detect ASD susceptibility genes and subsequent abortion decision-making among Taiwanese mothers of children affected by ASD. Survey data from 333 mothers of children with ASD in 236 elementary schools with special education services in Taiwan were collected and analyzed using structural equation modeling. Approximately two-thirds of the participants (66.6%) would undergo PGT to detect ASD susceptibility genes; more than half (53.1%) would terminate the hypothetically ASD-affected pregnancy. Abortion intention was associated with age, religion, attitudes toward PGT for detecting ASD susceptibility genes, and willingness to undergo such PGT. This study explores the potential impacts of PGT on Taiwanese society, and the findings are applicable to countries heavily influenced by Chinese culture, areas with Asian immigrants, and Western countries with such PGT services and/or research available.

scholarly journals A referral aid for smoking cessation interventions in primary care: study protocol for a randomized controlled trial

2021 ◽  
Vol 22 ◽  
Author(s):  
Daniëlle N. Zijlstra ◽  
Jean W.M. Muris ◽  
Catherine Bolman ◽  
J. Mathis Elling ◽  
Vera E.R.A. Knapen ◽  
...  
Keyword(s):  
Primary Care ◽  
Decision Making ◽  
Smoking Cessation ◽  
Cost Effectiveness ◽  
Structural Equation ◽  
Controlled Trial ◽  
Linear Regression Analysis ◽  
Informed Decision ◽  
Equation Modeling ◽  
Informed Decision Making

Abstract Background: To expedite the use of evidence-based smoking cessation interventions (EBSCIs) in primary care and to thereby increase the number of successful quit attempts, a referral aid was developed. This aid aims to optimize the referral to and use of EBSCIs in primary care and to increase adherence to Dutch guidelines for smoking cessation. Methods: Practice nurses (PNs) will be randomly allocated to an experimental condition or control condition, and will then recruit smoking patients who show a willingness to quit smoking within six months. PNs allocated to the experimental condition will provide smoking cessation guidance in accordance with the referral aid. Patients from both conditions will receive questionnaires at baseline and after six months. Cessation effectiveness will be tested via multilevel logistic regression analyses. Multiple imputations as well as intention to treat analysis will be performed. Intervention appreciation and level of informed decision-making will be compared using analysis of (co)variance. Predictors for appreciation and informed decision-making will be assessed using multiple linear regression analysis and/or structural equation modeling. Finally, a cost-effectiveness study will be conducted. Discussion: This paper describes the study design for the development and evaluation of an information and decision tool to support PNs in their guidance of smoking patients and their referral to EBSCIs. The study aims to provide insight into the (cost) effectiveness of an intervention aimed at expediting the use of EBSCIs in primary care.

scholarly journals Cognitive and Affective Processes Associated with Social Biases

2021 ◽  
Author(s):  
Asuka Kaneko ◽  
Yui Asaoka ◽  
Young-A Lee ◽  
Yukiori Goto
Keyword(s):  
Decision Making ◽  
Structural Equation ◽  
Autistic Traits ◽  
Social Judgment ◽  
Equation Modeling ◽  
Social Judgments ◽  
Social Conformity ◽  
Affective Processes ◽  
Negative Affects ◽  
Social Biases

Abstract Background Decision-making and judgments in our social activities often erroneous and irrational, known as social biases. However, cognitive and affective processes that produce such biases remain largely unknown. In this study, we investigated associations between social schemas, such as social judgment and conformity, entailing social biases and psychological measurements relevant to cognitive and affective functions. Method Forty-two healthy adult subjects were recruited in this study. A psychological test and a questionnaire were administered to assess biased social judgements by superficial attributes and social conformity by adherence to social norms, respectively, along with additional questionnaires and psychological tests for cognitive and affective measurements, including negative affects, autistic traits, and Theory of Mind (ToM). Associations of social judgment and conformity with cognitive and affective functions were examined multiple regression analysis and structural equation modeling. Results Anxiety and the cognitive realm of ToM were mutually associated with both social judgments and conformity, although social judgements and conformity were still independent processes with each other. Social judgements were also associated with autistic traits and the affective realm of ToM, whereas social conformity was associated with negative affects other than anxiety and intuitive decision-making style. Conclusions These results suggest that ToM and negative affects may play important roles in social judgements and conformity, and social biases connoted in these social schemas.

Users’ perception of cybersecurity, trust and cloud computing providers’ performance

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Hongjiang Xu ◽  
Sakthi Mahenthiran
Keyword(s):  
Cloud Computing ◽  
Structural Equation ◽  
Design Methodology ◽  
Positive Relationship ◽  
Least Square ◽  
Equation Modeling ◽  
Content Type ◽  
Ordinary Least Square ◽  
Ordinary Least Square Regression ◽  
Computing Literature

Purpose This study aims to develop a scale to measure the cloud provider’s performance and it investigates the factors that impact that performance from the users’ perspective. Design/methodology/approach This paper proposes a research framework, develops hypotheses and conducts a survey to test the framework. Findings The results from both ordinary least square regression and structural equation modeling analyzes indicate that information technology complexity negatively and significantly affects users’ perception of the cloud computing providers’ performance. Additionally, the trust in the supervisor significantly enhances the otherwise insignificant positive relationship between providers’ cybersecurity capability and users’ perception of their providers’ performance. Originality/value The research makes important contributions to the cloud computing literature, as it measures users’ perception of the cloud computing provider’s performance and links it with cybersecurity, technical complexity and incorporates both the trust in the client firm’s supervisor and the strength of cybersecurity offered by cloud computing provider.

Data-based ethical decision making, lateral relations, and organizational commitment

2018 ◽  
Vol 40 (6) ◽  
pp. 946-963 ◽  
Author(s):  
Sean Robert Valentine ◽  
David Hollingworth ◽  
Patrick Schultz
Keyword(s):  
Decision Making ◽  
Organizational Commitment ◽  
Information Flow ◽  
Structural Equation ◽  
Ethical Decision ◽  
Ethical Decision Making ◽  
Ethical Issues ◽  
Self Report ◽  
Equation Modeling ◽  
Content Type

Purpose Focusing on ethical issues when making organizational decisions should encourage a variety of positive outcomes for companies and their employees. The purpose of this paper is to determine the degree to which data-based ethical decision making, lateral relations and organizational commitment are interrelated in organizations. Design/methodology/approach Data were collected from business professionals employed at multiple locations of a financial services firm operating in the USA. Mediation analysis (based on structural equation modeling) was used to test the proposed relationships. Findings Results indicated that employees’ perceptions of data-based ethical decision making were positively related to perceived lateral relations, and that perceived lateral relations were positively related to organizational commitment. Research limitations/implications Given that information was collected using only a self-report questionnaire, common method bias could be an issue. In addition, the study’s cross-sectional design limits conclusions about causality. Another limitation involves the study’s homogenous sample, which decreases the generalizability of the findings. Finally, variable responses could have been impacted by individual frames of reference and other perceptual differences. Practical implications Results suggest that information flow enhancements should support or be consistent with horizontal information flow enhancements, and that together these factors should increase employee commitment. Originality/value Given the dearth of existing research, this interdisciplinary investigation is important because it fills gaps in the management literature. This study is also important because the results could inform decisions regarding the use of data analysis in ethical decisions and lateral forms of organizational structuring to improve work attitudes.

scholarly journals Factor Influencing Investor’s Decision Making in Indonesia: Moderating the Role of Locus of Control

2020 ◽  
pp. 49-56
Author(s):  
Febria Nalurita ◽  
Farah Margaretha Leon ◽  
Hamdy Hady
Keyword(s):  
Decision Making ◽  
Locus Of Control ◽  
Loss Aversion ◽  
Structural Equation ◽  
Investment Decision ◽  
Equation Modeling ◽  
Investment Decision Making ◽  
Market Factors ◽  
Regret Aversion

This study aims to investigate the effect of loss aversion, regret aversion, and market factors, on investment decision making with the moderating role of locus of control. Data collection is done by distributing questionnaires. The survey was conducted on individual investors in the Indonesia Stock Exchange in Jakarta to obtain a sample of 281. This research uses the Structural Equation Modeling approach. The statistical tool used is LISREL 8.8. This study found that loss aversion, regret aversion, and market factors significantly influence investment decision making. Locus of control plays the role of moderation between loss aversion, regret aversion, market factors, and investment decision making. The novelty in this study reveals the research that needs to be done to encourage investors to make rational decisions and control the required rate of returns through their locus of control. This research helps investors to make decisions logically and rationally with an open mind, high-performance thoughts and positive actions for investment goals that produce positive returns.

scholarly journals Introducing Emotioncy as an Invisible Force Controlling Causal Decisions: A Case of Attribution Theory

2017 ◽  
Vol 48 (1) ◽  
pp. 129-140 ◽  
Author(s):  
Reza Pishghadam ◽  
Hannaneh Abbasnejad
Keyword(s):  
Decision Making ◽  
Attribution Theory ◽  
Structural Equation ◽  
Judgment And Decision Making ◽  
External Factors ◽  
Equation Modeling ◽  
Internal Factors ◽  
Factors Influencing ◽  
Confirmatory Factor ◽  
Causal Judgments

Abstract Given the prominence of studies aimed at determining the factors influencing causal judgments, this study attempts to introduce the newly-developed concept of emotioncy as one of the guiding factors pushing attribution judgments toward a certain spectrum. To this end, two scales of attribution and emotioncy were designed using ten hypothetical situations. A total number of 309 participants filled out the scales. The construct validity of the scales was substantiated through confirmatory factor analysis (CFA). Afterwards, structural equation modeling (SEM) was utilized to examine the possible relationships among the sub-constructs of attribution and emotioncy scales. The results indicated that as the participants’ emotioncy level increases, it becomes more likely for them to attribute probable causes to external factors. Moreover, it was revealed that while the involved individuals attribute causes to external factors, the exvolved ones attribute them to internal factors. In the end, implications of the findings were discussed in the realm of judgment and decision making.

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