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.

Operation decision of logistics service supply chain: considering interruption probability in emergencies

Kybernetes ◽  
2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Guangsheng Zhang ◽  
Xiao Wang ◽  
Zhiqing Meng ◽  
Qirui Zhang ◽  
Kexin Wu
Keyword(s):  
Decision Making ◽  
Supply Chain ◽  
Evolutionary Game ◽  
Optimal Strategies ◽  
Optimal Decision ◽  
Content Type ◽  
Logistics Service ◽  
Social Reputation ◽  
Punishment Intensity ◽  
Optimal Decision Making

PurposeTo remedy the inherent defect in current research that focuses only on a single type of participants, this paper endeavors to look into the situation as an evolutionary game between a representative Logistics Service Integrator (LSI) and a representative Functional Logistics Service Provider (FLSP) in an environment with sudden crisis and tries to analyze how LSI supervises FLSP's operations and how FLSP responds in a recurrent pattern with different interruption probabilities.Design/methodology/approachRegarding the risks of supply chain interruption in emergencies, this paper develops a two-level model of single LSI and single FLSP, using Evolutionary Game theory to analyze their optimal decision-making, as well as their strategic behaviors on different risk levels regarding the interruption probability to achieve the optimal return with bounded rationality.FindingsThe results show that on a low-risk level, if LSI increases the degree of punishment, it will fail to enhance FLSP's operational activeness in the long term; when the risk rises to an intermediate level, a circular game occurs between LSI and FLSP; and on a high level of risk, FLSP will actively take actions, and its functional probability further impacts LSI's strategic choices. Finally, this paper analyzes the moderating impact of punishment intensity and social reputation loss on the evolutionary model in emergencies and provides relevant managerial implications.Originality/valueFirst, by taking both interruption probability and emergencies into consideration, this paper explores the interactions among the factors relevant to LSI's and FLSP's optimal decision-making. Second, this paper analyzes the optimal evolutionary game strategies of LSI and FLSP with different interruption probability and the range of their optimal strategies. Third, the findings of this paper provide valuable implications for relevant practices, such that the punishment intensity and social reputation loss determine the optimal strategies of LSI and FLSP, and thus it is an effective vehicle for LSSC system administrator to achieve the maximum efficiency of the system.

Catch and release? NHL expansion draft endowment effects

2019 ◽  
Vol 9 (3) ◽  
pp. 301-312 ◽  
Author(s):  
Peter M. Tingling ◽  
Kamal Masri ◽  
Dani Chu
Keyword(s):  
Decision Making ◽  
Performance Appraisal ◽  
Natural Experiment ◽  
Learning Algorithm ◽  
Optimal Decision ◽  
High Stakes ◽  
Content Type ◽  
Catch And Release ◽  
Older Athletes ◽  
Optimal Decision Making

Purpose The purpose of this paper is to investigate National Hockey League (NHL) expansion draft decisions to measure divestment aversion and endowment effects, and analyze bias and its affect on presumed rational analytic decision making. Design/methodology/approach A natural experiment with three variables (age, minutes played and presence of a prior relationship with a team’s management), filtered athletes that were exposed or protected to selection. A machine learning algorithm trained on a group of 17 teams was applied to the remaining 13 teams. Findings Athletes with pre-existing management relationships were 1.7 times more likely to be protected. Athletes playing fewer relative position minutes were less likely to be protected, as were older athletes. Athlete selection was predominantly determined by time on ice. Research limitations/implications This represents a single set of independent decisions using publicly available data absent of context. The results may not be generalizable beyond the NHL or sport. Practical implications The research confirms the affect of prior relationships on decision making and provides further evidence of measurable sub-optimal decision making. Social implications Decision making has implications throughout human resources and impacts competitiveness and productivity. This adds to the need for managers to recognize and implement de-biasing in areas such as hiring, performance appraisal and downsizing. Originality/value This natural experiment involving high-stakes decision makers confirms bias in a setting that has been dominated by students, low stakes or artificial settings.

scholarly journals Timing Decisions in Organizations: Communication and Authority in a Dynamic Environment

2016 ◽  
Vol 106 (9) ◽  
pp. 2552-2581 ◽  
Author(s):  
Steven R. Grenadier ◽  
Andrey Malenko ◽  
Nadya Malenko
Keyword(s):  
Decision Making ◽  
Dynamic Environment ◽  
Optimal Decision ◽  
Full Information ◽  
Information Revelation ◽  
Timing Decision ◽  
Timing Decisions ◽  
Early Decision ◽  
Optimal Decision Making ◽  
Decision Making Rule

We consider a problem where an uninformed principal makes a timing decision interacting with an informed but biased agent. Because time is irreversible, the direction of the bias crucially affects the agent's ability to credibly communicate information. When the agent favors late decision making, full information revelation often occurs. In this case, centralized decision making, where the principal retains authority and communicates with the agent, implements the optimal decision-making rule. When the agent favors early decision making, communication is partial, and the optimal decision-making rule is not implemented. Delegation adds value when the bias is for early decision making, but not for late decision making. (JEL D21, D23, D82, D83)

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.

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 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

The hidden power of language

2020 ◽  
Vol 11 (1) ◽  
pp. 187-206
Author(s):  
Philipp Hummel ◽  
Jacob Hörisch
Keyword(s):  
Decision Making ◽  
Value Creation ◽  
Cost Reduction ◽  
Social Consequences ◽  
Decision Makers ◽  
Social Aspects ◽  
Social Aspect ◽  
Content Type ◽  
Current Accounting ◽  
Cost Reductions

Purpose Stakeholder theory research identifies changes in language as one possible mechanism to overcome the deficiencies of current accounting practices with regard to social aspects. This study aims to examine the effects of the terms used for specific accounts on company internal decision-making, drawing on the example of “value creation accounting”. Design/methodology/approach The study uses a survey based-experiment to analyze the effects of terms used for specific accounts on decision-making, with a focus on social aspects (in particular expenditures for staff) in cost reduction and expenditure decisions. Findings The findings indicate that wordings, which more closely relate to value creation than to costs, decrease cost reductions and increase the priority ascribed to the social aspect of reducing staff costs in times of financial shortage. The effects of terms used on cost reductions are stronger among female decision makers. Practical implications The analysis suggests that conventional accounting language best suits organizations that aim at incentivizing decision makers to primarily cut costs. By contrast, if an organization follows an approach that puts importance on social aspects in times of financial shortage and on not doing too sharp cost reductions, value creation-oriented language is the more effective approach. Social implications The study suggests that the specific terminology used for accounts should be chosen more carefully and with awareness for the possible effects on cost reduction decisions as well as on social consequences. Originality/value This study contributes to a better understanding of the relevance of language in accounting. It suggests that the terms used for accounts should be chosen purposefully because of their far-reaching potential consequences for stakeholders as well as for the organization.

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