The Empirical Research on the Domain Knowledge Factors Influencing the Effectiveness of Intuition in Decision Making

2009 ◽  
Author(s):  
Jiajun Gu ◽  
Fenghua Xie
Keyword(s):  
Decision Making ◽  
Empirical Research ◽  
Domain Knowledge ◽  
Factors Influencing

Other Factors Influencing Religious Vocations

2018 ◽  
Author(s):  
Thu T. Do
Keyword(s):  
Decision Making ◽  
Secondary School ◽  
Women Religious ◽  
Religious Life ◽  
Men And Women ◽  
Factors Influencing ◽  
Religious Vocation ◽  
Devotional Practices ◽  
Religious Vocations ◽  
Primary And Secondary School

This chapter presents an overview of aspects that may influence women and men religious on their religious vocational decision during their childhood with their family and parish, their attendance of primary and secondary school, their participation in parish life, and their college years. The influential aspects addressed are: attending Mass regularly and devotional practices, having the opportunity to discuss and receive encouragement from others to discern a religious vocation, the witness of men and women religious, and being engaged in youth and voluntary ministry programs. The chapter concludes that while not every individual religious has opportunities to experience these activities in various environments before he or she decides to enter religious life, all the aspects complement one another and have an impact on religious vocational discernment and decision-making.

Trust in Artificial Intelligence: Meta-Analytic Findings

2021 ◽  
pp. 001872082110139
Author(s):  
Alexandra D. Kaplan ◽  
Theresa T. Kessler ◽  
J. Christopher Brill ◽  
P. A. Hancock
Keyword(s):  
Artificial Intelligence ◽  
Empirical Research ◽  
Meta Analysis ◽  
Automated Vehicles ◽  
Factors Influencing ◽  
Moderating Factors ◽  
Shared Context ◽  
Build Systems ◽  
Significant Factors

Objective The present meta-analysis sought to determine significant factors that predict trust in artificial intelligence (AI). Such factors were divided into those relating to (a) the human trustor, (b) the AI trustee, and (c) the shared context of their interaction. Background There are many factors influencing trust in robots, automation, and technology in general, and there have been several meta-analytic attempts to understand the antecedents of trust in these areas. However, no targeted meta-analysis has been performed examining the antecedents of trust in AI. Method Data from 65 articles examined the three predicted categories, as well as the subcategories of human characteristics and abilities, AI performance and attributes, and contextual tasking. Lastly, four common uses for AI (i.e., chatbots, robots, automated vehicles, and nonembodied, plain algorithms) were examined as further potential moderating factors. Results Results showed that all of the examined categories were significant predictors of trust in AI as well as many individual antecedents such as AI reliability and anthropomorphism, among many others. Conclusion Overall, the results of this meta-analysis determined several factors that influence trust, including some that have no bearing on AI performance. Additionally, we highlight the areas where there is currently no empirical research. Application Findings from this analysis will allow designers to build systems that elicit higher or lower levels of trust, as they require.

scholarly journals Factors influencing decision making for implementing e-health in light of the COVID-19 outbreak in Gulf Cooperation Council countries

2021 ◽  
Author(s):  
Fahad M Al-Anezi
Keyword(s):  
Decision Making ◽  
United Arab Emirates ◽  
Healthcare Access ◽  
Demographic Factors ◽  
Quality Of Healthcare ◽  
Healthcare Services ◽  
Gulf Cooperation Council ◽  
Factors Influencing ◽  
Electronic Health ◽  
Novel Coronavirus

Abstract Background Electronic health (e-health) approaches such as telemedicine, mobile health, virtual healthcare and electronic health records are considered to be effective in increasing access to healthcare services, reducing operational costs and improving the quality of healthcare services during the coronavirus disease 2019 (COVID-19) outbreak, a pandemic resulting from the spread of a novel coronavirus discovered in December 2019. In this context, the aim of this study was to identify the most important factors influencing decision making on the implementation of e-health in Gulf Cooperation Council (GCC) member states (Bahrain, Kuwait, Oman, Qatar, Saudi Arabia and the United Arab Emirates), which are in the process of digitizing healthcare services. Methods This study reviewed the literature to identify the important factors influencing decision making on e-health. In addition, a questionnaire-based survey was conducted in order to identify the most important criteria to be considered in decision making on e-health. The survey link was forwarded to 978 healthcare practitioners and 42 experts (purposive sampling), from which a final sample of 892 (864 practitioners and 28 experts) was achieved, reflecting a response rate of 87.45%. Results Of the 44 factors identified under seven themes (strategic, quality, management, technology, function characteristics, economic, sociocultural and demographic factors), 22 factors were identified to be the most important criteria. Conclusions Findings from this study suggest that decision making in relation to e-health is a complex process that requires consideration of various factors. It was also found that attention should be paid to sociocultural and demographic factors, which may need to be considered in increasing healthcare access during the COVID-19 outbreak.

The Role of the Representative: Some Empirical Observations on the Theory of Edmund Burke

1959 ◽  
Vol 53 (3) ◽  
pp. 742-756 ◽  
Author(s):  
Heinz Eulau ◽  
John C. Wahlke ◽  
William Buchanan ◽  
Leroy C. Ferguson
Keyword(s):  
Decision Making ◽  
Political Theory ◽  
Empirical Research ◽  
Body Politic ◽  
Whole Body ◽  
Edmund Burke ◽  
Political Systems ◽  
General Consensus ◽  
History Of

The problem of representation is central to all discussions of the functions of legislatures or the behavior of legislators. For it is commonly taken for granted that, in democratic political systems, legislatures are both legitimate and authoritative decision-making institutions, and that it is their representative character which makes them authoritative and legitimate. Through the process of representation, presumably, legislatures are empowered to act for the whole body politic and are legitimized. And because, by virtue of representation, they participate in legislation, the represented accept legislative decisions as authoritative. But agreement about the meaning of the term “representation” hardly goes beyond a general consensus regarding the context within which it is appropriately used. The history of political theory is studded with definitions of representation, usually embedded in ideological assumptions and postulates which cannot serve the uses of empirical research without conceptual clarification.

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