Conceptualizing post-disaster entrepreneurial decision-making: Prediction and control under extreme environmental uncertainty

2021 ◽  
pp. 102703
Author(s):  
Abayomi K. Akinboye ◽  
Sussie C. Morrish
Keyword(s):  
Decision Making ◽  
Environmental Uncertainty ◽  
Prediction And Control ◽  
Entrepreneurial Decision ◽  
And Control ◽  
Post Disaster

scholarly journals Influence of the Cognition of Student Entrepreneurs on Decision Making Based on Factor Analysis

2019 ◽  
Vol 14 (12) ◽  
pp. 158
Author(s):  
Shaoying Wang ◽  
Linghui Liu ◽  
Shaoyu Wang
Keyword(s):  
Decision Making ◽  
Cognitive Ability ◽  
Positive Impact ◽  
Market Competition ◽  
Science And Technology ◽  
Monitoring And Control ◽  
Student Entrepreneurs ◽  
Entrepreneurial Decision ◽  
And Control ◽  
The Impact

With the progress of science and technology, the emergence of new technologies has greatly promoted young college students' entrepreneurial boom. However, the progress of science and technology not only brings more opportunities for entrepreneurship, but also makes the market competition more intense. High-speed information updating makes the risk of entrepreneurship sharply increase. Individual entrepreneurship gradually transforms into group entrepreneurship, further increasing the complexity of decision-making. In order to reduce entrepreneurial decision-making errors, this study empirically analyzed the impact of entrepreneurial cognitive ability on entrepreneurial decision-making of entrepreneurial groups of students in Beiijing, Shanghai, Guangzhou and other regions who have been entrepreneurs for three months to six years. The data of five factors, entrepreneurial consensus ability, professional allocation ability, monitoring and control ability, decision-making speed and effect of decision making, were collected through questionnaire. The relationships between the factors were initially determined using SPSS, and the causal relationship was further analyzed using multi-variable regression analysis. The results showed that entrepreneurial consensus ability and professional allocation ability had a significant positive impact on decision-making speed, monitoring and control ability had no significant impact on decision-making speed, professional allocation ability and monitoring ability had a significant positive impact on decision-making effect, and entrepreneurial consensus ability had no significant impact on decision-making effect. In conclusion, entrepreneurial cognitive ability of student entrepreneurs has a significant impact on entrepreneurial decision-making.

Decision Making and Mania

1999 ◽  
Vol 13 (2) ◽  
pp. 83-105 ◽  
Author(s):  
Robert L. Leahy
Keyword(s):  
Decision Making ◽  
Portfolio Theory ◽  
High Threshold ◽  
Clinical Implications ◽  
Risk Averse ◽  
Number Of Factors ◽  
Prediction And Control ◽  
Low Threshold ◽  
Stop Loss ◽  
And Control

Individuals contemplate a number of factors in making decisions, including their tolerance of risk, their emphasis on maximizing gains, and their perception of current and future resources. I have proposed that depressed individuals utilize a scarcity and depletion “portfolio theory,” such that they place less emphasis on maximizing gains, see themselves as having fewer resources (currently and in the future), and view outcomes as unpredictable and uncontrollable. Depressed individuals suffer losses more and enjoy gains less, stop-out early, have a low threshold for defining loss and a high threshold for defining gain, and are risk-averse. This “portfolio theory” is extended to a model of manic decision making. Individuals in a manic phase are viewed as operating with “market assumptions” of abundance and magnification, rather than scarcity and depletion. Specifically, manic individuals are described here as “risk-lovers” who view themselves as having unlimited current and future resources, believe they have close to infallible prediction and control of outcomes, place high hedonic utility on gains, and have low dis-utility for losses. In addition, their resistance to helplessness is attributed to their low stop-loss criterion, their high threshold for defining loss and low threshold for defining gain, and their discounting of regret. Theoretical, empirical and clinical implications are developed from this conceptualization.

Linking decision-making research and cancer prevention and control: Important themes.

2005 ◽  
Vol 24 (4, Suppl) ◽  
pp. S106-S110 ◽  
Author(s):  
Kevin D. McCaul ◽  
Ellen Peters ◽  
Wendy Nelson ◽  
Michael Stefanek
Keyword(s):  
Decision Making ◽  
Cancer Prevention ◽  
Prevention And Control ◽  
Cancer Prevention And Control ◽  
And Control

An insight into Case Management and Challenges in Veteran Suicide Prevention

2020 ◽  
pp. 14-25
Author(s):  
Tamara Green
Keyword(s):  
Case Management ◽  
Suicide Prevention ◽  
Suicide Risk ◽  
Digital Transformation ◽  
Prevention Science ◽  
Historical Records ◽  
Military Members ◽  
Prediction And Control ◽  
And Control ◽  
Insight Into

Much of the literature, policies, programs, and investment has been made on mental health, case management, and suicide prevention of veterans. The Australian “veteran community is facing a suicide epidemic for the reasons that are extremely complex and beyond the scope of those currently dealing with them.” (Menz, D: 2019). Only limited work has considered the digital transformation of loosely and manual-based historical records and no enablement of Artificial Intelligence (A.I) and machine learning to suicide risk prediction and control for serving military members and veterans to date. This paper presents issues and challenges in suicide prevention and management of veterans, from the standing of policymakers to stakeholders, campaigners of veteran suicide prevention, science and big data, and an opportunity for the digital transformation of case management.

Scham und Autonomie

2012 ◽  
Vol 2012 (1) ◽  
pp. 163-192
Author(s):  
Sonja Rinofner-Kreidl
Keyword(s):  
Decision Making ◽  
Social Dynamics ◽  
Self Esteem ◽  
Self Determination ◽  
Intentional Content ◽  
Conceptual Clarification ◽  
The Social ◽  
Conventional Behavior ◽  
And Control

Autonomy is associated with intellectual self-preservation and self-determination. Shame, on the contrary, bears a loss of approval, self-esteem and control. Being afflicted with shame, we suffer from social dependencies that by no means have been freely chosen. Moreover, undergoing various experiences of shame, our power of reflection turns out to be severly limited owing to emotional embarrassment. In both ways, shame seems to be bound to heteronomy. This situation strongly calls for conceptual clarification. For this purpose, we introduce a threestage model of self-determination which comprises i) autonomy as capability of decision-making relating to given sets of choices, ii) self-commitment in terms of setting and harmonizing goals, and iii) self-realization in compliance with some range of persistently approved goals. Accordingly, the presuppositions and distinctive marks of shame-experiences are made explicit. Within this framework, we explore the intricate relation between autonomy and shame by focusing on two questions: on what conditions could conventional behavior be considered as self-determined? How should one characterize the varying roles of actors that are involved in typical cases of shame-experiences? In this connection, we advance the thesis that the social dynamics of shame turns into ambiguous positions relating to motivation, intentional content,and actors’ roles.

Formation of requirements for the information system of environmental monitoring

2020 ◽  
pp. 31-34
Author(s):  
CHUNMEI JI
Keyword(s):  
Decision Making ◽  
Information System ◽  
Decision Support ◽  
Environmental Monitoring ◽  
Environmental Uncertainty ◽  
Agricultural Enterprises ◽  
Ecological Uncertainty

The study considers the problem of decision-making in the actvites of agricultural enterprises in conditons of environmental uncertainty. The problem is formalized as a multcriteria conditonal optmizaton problem. The novelty of the work is that the factors are considered as dynamic fuzzy quanttes. The choice of the best alternatve is made between the elements of a predetermined fnite set of alternatves. Based on this formalizaton of the decision-making task, six requirements to the informaton system of decision support in the conditons of ecological uncertainty are formulated.

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