Creative Thinking and Problem Finding Underlie Optimal Decision Making

2011 ◽  
pp. 24-44
Author(s):  
Robert Thierauf ◽  
James Hoctor
Keyword(s):  
Decision Making ◽  
Creative Thinking ◽  
Decision Makers ◽  
Optimal Decision ◽  
Problem Finding ◽  
Optimal Decision Making ◽  
Over Time

• To explore rethinking creative thinking in terms of what needs to be done organizationally over time • To look at the various creative techniques that are useful to decision makers • To explore the use of problem finding from the standpoint of turning problems into opportunities • To examine how problem finding can assist in expanding the wisdom of decision makers

scholarly journals Plithogenic n-Super Hypergraph in Novel Multi-Attribute Decision Making

2020 ◽  
pp. 08-30
Author(s):  
Florentin .. ◽  
◽  
◽  
Nivetha Martin
Keyword(s):  
Decision Making ◽  
Research Work ◽  
Decision Makers ◽  
Optimal Decision ◽  
The Novel ◽  
Multi Attribute Decision Making ◽  
Vertex Classification ◽  
Optimal Decision Making ◽  
Novel Concept

An optimal decision-making environment demands feasible Multi-Attribute Decision-Making methods. Plithogenic n – Super Hypergraph introduced by Smarandache is a novel concept and it involves many attributes. This article aims to bridge the concept of Plithogenic n-Super Hypergraph in the vicinity of optimal decision making. This research work introduces the novel concepts of enveloping vertex, super enveloping vertex, dominant enveloping vertex, classification of the dominant enveloping vertex (input, intervene, output dominant enveloping vertices), plithogenic connectors. An application of Plithogenic n-super hypergraph in making optimum decisions is discussed under various decision-making scenarios. Several insights are drawn from this research work and will certainly benefit the decision-makers to overcome the challenges in building decisions.

Real-World Optimal KM/WM System Applications

2011 ◽  
pp. 257-269
Author(s):  
Robert Thierauf ◽  
James Hoctor
Keyword(s):  
Real World ◽  
Creative Thinking ◽  
Business Models ◽  
Computer Software ◽  
Decision Makers ◽  
Corporate Planning ◽  
Problem Finding ◽  
New Business ◽  
New Business Models ◽  
Over Time

• To take a last look at creative thinking and problem finding that underlies “what needs to be done” in a typical optimal KM/WM system • To tie in new business models with the ability of a company’s decision makers to judge soundly over time • To review computer software that is useful in optimal KM/WM system applications • To set forth real-world optimal KM/WM system applications in the areas of corporate planning, marketing, finance, and manufacturing

A framework for value visualization in the construction industry to support value-oriented design

2020 ◽  
Vol 47 (7) ◽  
pp. 833-845
Author(s):  
Samer BuHamdan ◽  
Aladdin Alwisy ◽  
Ahmed Bouferguene ◽  
Mohamed Al-Hussein
Keyword(s):  
Decision Making ◽  
Construction Industry ◽  
Design Process ◽  
Optimal Decision ◽  
Value Assessment ◽  
Sustainable Value ◽  
Optimal Decision Making ◽  
Multiple Value ◽  
Over Time

The research in value-oriented design reports the importance of displaying the interdependencies between product components and stakeholders’ values, where it argues that the display of interdependencies is indispensable for the optimal decision-making and for the success of the value-oriented design. However, applications for value visualization in the construction industry lack one or both of the following: (1) the support for multi-value assessment and visualization and (2) the ability to visualize value(s) over time. These two shortcomings hinder the construction industry from fully embracing sustainable value-oriented design. Hence, this paper proposes a visualization framework to bridge the gap in the practice of value visualization regarding (i) the number of visualized values and (ii) time-based multiple-value visualization. The paper also contains a case study that utilizes a condominium building to show the implementation of the proposed framework and demonstrate how results can be interpreted and utilized in the design process.

Leading under pressure: evaluating the decision-making style of NHL coaches

2017 ◽  
Vol 7 (1) ◽  
pp. 97-112
Author(s):  
Kim Trottier
Keyword(s):  
Decision Making ◽  
Dynamic Environment ◽  
Decision Makers ◽  
Optimal Decision ◽  
Heuristics And Biases ◽  
Corporate Leadership ◽  
Content Type ◽  
Optimal Decision Making ◽  
Analytical Dimension ◽  
Insight Into

Purpose The purpose of this paper is to establish the optimal decision-making style in a fast-paced, complex, and dynamic environment. Design/methodology/approach Three decision-making attributes are explored: the use of intuition vs analysis, the proclivity to heuristics, and susceptibility to bias. The intuition/analysis is tested with a questionnaire that has been validated in prior research, while information on the two other dimensions is from an exploratory survey designed for this purpose. Responses to the survey questions provide some insight into the differential decision-making style of elite NHL hockey coaches’ vis-à-vis amateur coaches and news reporters. Findings The data suggest elite decision makers have no preference for intuitive or analytical settings, but exhibit a significantly higher perception of their ability to perform in both. While current literature shows sports athletes to be more intuitive, it appears coaches excel on the analytical dimension instead. This study finds that while elite hockey coaches have fewer biases overall, they tend in particular to be overly optimistic in comparison to amateur coaches and news reporters. Research limitations/implications The main limitation in this paper is that the survey on heuristics and biases is exploratory, making these results less robust than the findings on intuition and analysis. Originality/value This paper is first to extend the decision-making literature to coaches, and among few papers that obtain insights from NHL coaches directly. The findings are likely to extend to corporate leadership as well, increasing the relevance of the results.

scholarly journals GEAR: On Optimal Decision Making with Auxiliary Data

Stat ◽  
2021 ◽  
Author(s):  
Hengrui Cai ◽  
Rui Song ◽  
Wenbin Lu
Keyword(s):  
Decision Making ◽  
Optimal Decision ◽  
Auxiliary Data ◽  
Optimal Decision Making
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