Decision Making, Incrementalism and Transformational Change

2007 ◽  
pp. 514-518
Author(s):  
Keith Carrington
Keyword(s):  
Decision Making ◽  
Transformational Change

scholarly journals Climate Decision-Making

2020 ◽  
Vol 45 (1) ◽  
pp. 271-303
Author(s):  
Ben Orlove ◽  
Rachael Shwom ◽  
Ezra Markowitz ◽  
So-Min Cheong
Keyword(s):  
Climate Change ◽  
Decision Making ◽  
Behavioral Interventions ◽  
Transformational Change ◽  
Research And Practice ◽  
Climate Action ◽  
The Face ◽  
Deliberative Processes ◽  
Corporate Social ◽  
Climate Crisis

Climate change decision-making has emerged in recent decades as an area of research and practice, expanding on an earlier focus on climate policy. Defined as the study of decisions relevant for climate change, it draws on developments in decision science, particularly advances in the study of cognitive and deliberative processes in individuals and organizations. The effects of climate, economic, social, and other framings on decision-making have been studied, often showing that nonclimate frames can be as effective as, or more effective than, climate frames in promoting decision-making and action. The concept of urgency, linked to the ideas of climate crisis and climate emergency, has taken on importance in recent years. Research on climate decision-making has influenced numerous areas of climate action, including nudges and other behavioral interventions, corporate social responsibility, and Indigenous decision-making. Areas of transformational change, such as strategic retreat in the face of sea-level rise, are emerging.

scholarly journals Toward Modelling of Transformational Change Processes in Farm Decision-Making

2018 ◽  
Vol 09 (03) ◽  
pp. 340-350 ◽  
Author(s):  
S. Huet ◽  
C. Rigolot ◽  
Q. Xu ◽  
Y. De Cacqueray-Valmenier ◽  
I. Boisdon
Keyword(s):  
Decision Making ◽  
Transformational Change ◽  
Change Processes

scholarly journals Use of Data Mining Techniques in Human Resource Management

2017 ◽  
Vol 1 (1) ◽  
pp. 41-46
Author(s):  
Okaile R. Marumo ◽  
Tumisang Angela Mmopelwa
Keyword(s):  
Data Mining ◽  
Decision Making ◽  
Resource Management ◽  
Human Resource Management ◽  
Human Resource ◽  
Transformational Change ◽  
Decision Making Process ◽  
Data Mining Techniques ◽  
The Past ◽  
Use Of Data

In the past few years, Analytics has rapidly risen in among organizations within the field of human resource management. To the present date, however, Human Resource Analytics has not been subject to a lot of scrutiny from educational researchers. The aim of this paper is so to look at Different Mining Techniques could be implemented in the HR Department to enhance or support their decision making process. This will improve existing practices of HR analytics and will deliver transformational change indeed

Leading learning organizations through transformational change

2015 ◽  
Vol 29 (3) ◽  
pp. 275-283 ◽  
Author(s):  
Joyce Boone
Keyword(s):  
Decision Making ◽  
Blended Learning ◽  
Learning Strategies ◽  
Education System ◽  
Transformational Change ◽  
American Education ◽  
Content Type ◽  
Us Economy ◽  
The Us ◽  
Decision Making Tool

Purpose – There are two conditions that threaten to derail the American education system as we know it: the poor state of the US economy in America and the less than effective structure of the American education system. Researchers and practitioners are searching to identify tools and strategies that can help to restore confidence in the soundness of the US education system. One such strategy is blended learning delivery formats. The purpose of this paper is to examine implications of and recommend blended learning strategies. Design/methodology/approach – This writing presents a description of the problem, an abridged review of related literature, a discussion of the possibilities for blended learning in academic organizations, and the associated transformational change implications. It is presented as a decision-making tool for administrators to consider including blended learning formats in their strategies to address the effects of the questionable outlook of the US economy and the outdated structure of the US education system. Findings – The writing concludes with recommendations for leading the change to blended learning formats in learning organizations. Originality/value – The information in the paper is presented as a decision-making tool for educational administrators in considering blended learning strategies for their organizations.

Discarding optimality: Throwing out the baby with the bathwater?

2018 ◽  
Vol 41 ◽  
Author(s):  
Patrick Simen ◽  
Fuat Balcı
Keyword(s):  
Decision Making ◽  
Perceptual Decision Making ◽  
Reward Rate ◽  
Perceptual Decision ◽  
Standard Observer ◽  
Rate Maximization ◽  
Reward Rate Maximization ◽  
Descriptive Standard ◽  
Observer Model

AbstractRahnev & Denison (R&D) argue against normative theories and in favor of a more descriptive “standard observer model” of perceptual decision making. We agree with the authors in many respects, but we argue that optimality (specifically, reward-rate maximization) has proved demonstrably useful as a hypothesis, contrary to the authors’ claims.

LPCD framework: Analytical tool or psychological model?

2018 ◽  
Vol 41 ◽  
Author(s):  
David Danks
Keyword(s):  
Decision Making ◽  
Analytical Tool ◽  
Mathematical Framework ◽  
Bayesian Decision ◽  
Perceptual Decision Making ◽  
Psychological Model ◽  
Psychological Reality ◽  
Psychological Theories ◽  
Target Article ◽  
Bayesian Decision Making

AbstractThe target article uses a mathematical framework derived from Bayesian decision making to demonstrate suboptimal decision making but then attributes psychological reality to the framework components. Rahnev & Denison's (R&D) positive proposal thus risks ignoring plausible psychological theories that could implement complex perceptual decision making. We must be careful not to slide from success with an analytical tool to the reality of the tool components.

Elaborating the role of reflection and individual differences in the study of folk-economic beliefs

2018 ◽  
Vol 41 ◽  
Author(s):  
Kevin Arceneaux
Keyword(s):  
Decision Making ◽  
Individual Differences ◽  
Cognitive Processes ◽  
Evolutionary History ◽  
Behavioral Responses ◽  
History Of ◽  
Economic Beliefs

AbstractIntuitions guide decision-making, and looking to the evolutionary history of humans illuminates why some behavioral responses are more intuitive than others. Yet a place remains for cognitive processes to second-guess intuitive responses – that is, to be reflective – and individual differences abound in automatic, intuitive processing as well.

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