Jumping to conclusions – an analysis of the NBA Draft Combine athleticism data and its influence on managerial decision-making

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Tobias Berger ◽  
Frank Daumann
Keyword(s):  
Decision Making ◽  
Design Methodology ◽  
Predictive Power ◽  
Principal Component ◽  
Decision Makers ◽  
Decision Quality ◽  
Managerial Behavior ◽  
Managerial Decision ◽  
Content Type ◽  
Selection Behavior

PurposeThe NBA Draft policy pursues the goal to provide the weakest teams with the most talented young players to close the gap to the superior competition. But it hinges on appropriate talent evaluation skills of the respective organizations. Research suggests the policy might be valid but to date unable to produce its intended results due to the “human judgement-factor”. This paper investigates specific managerial selection-behavior-influencing information to examine why decision-makers seem to fail to constantly seize the opportunities the draft presents them with.Design/methodology/approachAthleticism data produced within the NBA Draft Combine setting is strongly considered in the player evaluations and consequently informs the draft decisions of NBA managers. Curiously, research has failed to find much predictive power within the players pre-draft combine results for their post-draft performance. This paper investigates this clear disconnect, by examining the pre- and post-draft data from 2000 to 2019 using principal component and regression analysis.FindingsEvidence for an athletic-induced decision-quality-lowering bias within the NBA Draft process was found. The analysis proves that players with better NBA Draft Combine results tend to get drafted earlier. Controlling for position, age and pre-draft performance there seems to be no proper justification based on post-draft performance for this managerial behavior. This produces systematic errors within the structure of the NBA Draft process and leads to problematic outcomes for the entire league-policy.Originality/valueThe paper delivers first evidence for an athleticism-induced decision-making bias regarding the NBA Draft process. Informing future selection-behavior of managers this research could improve NBA Draft decision-making quality.

Stressed decision makers and use of decision aids: a literature review and conceptual model

2019 ◽  
Vol 33 (2) ◽  
pp. 710-754 ◽  
Author(s):  
Monica Adya ◽  
Gloria Phillips-Wren
Keyword(s):  
Decision Making ◽  
Conceptual Model ◽  
Perceived Stress ◽  
Decision Aids ◽  
Decision Makers ◽  
Decision Quality ◽  
Negative Effects ◽  
Managerial Decision ◽  
Content Type ◽  
The Impact

Purpose Decision making is inherently stressful since the decision maker must choose between potentially conflicting alternatives with unique hazards and uncertain outcomes. Whereas decision aids such as decision support systems (DSS) can be beneficial in stressful scenarios, decision makers sometimes misuse them during decision making, leading to suboptimal outcomes. The purpose of this paper is to investigate the relationship between stress, decision making and decision aid use. Design/methodology/approach The authors conduct an extensive multi-disciplinary review of decision making and DSS use through the lens of stress and examine how stress, as perceived by decision makers, impacts their use or misuse of DSS even when such aids can improve decision quality. Research questions examine underlying sources of stress in managerial decision making that influence decision quality, relationships between a decision maker’s perception of stress, DSS use/misuse, and decision quality, and implications for research and practice on DSS design and capabilities. Findings The study presents a conceptual model that provides an integrative behavioral view of the impact of a decision maker’s perceived stress on their use of a DSS and the quality of their decisions. The authors identify critical knowledge gaps and propose a research agenda to improve decision quality and use of DSS by considering a decision maker’s perceived stress. Originality/value This study provides a previously unexplored view of DSS use and misuse as shaped by the decision and job stress experienced by decision makers. Through the application of four theories, the review and its findings highlight key design principles that can mitigate the negative effects of stressors on DSS use.

Altruism as a pathway to unethical action

2020 ◽  
Vol 36 (2) ◽  
pp. 235-247
Author(s):  
Michael Babula ◽  
Max Tookey ◽  
Glenn Muschert ◽  
Mark Neal
Keyword(s):  
Decision Making ◽  
Decision Maker ◽  
Unethical Behavior ◽  
Design Methodology ◽  
Ethical Decision ◽  
Ethical Decision Making ◽  
Self Esteem ◽  
Decision Makers ◽  
Content Type ◽  
The Poor

Purpose The purpose of this paper is to answer the question, “Can particular types of altruism influence people to make unethical decisions?” The purpose of seeking to answer this question is to better understand those cases in personal, public and commercial life whereby a decision-maker is influenced by what is widely perceived to be a positive thing – altruism – to make unethical choices. Design/methodology/approach An experiment was designed to test the influence of different categories of altruism on decision-making about whether to find another guilty for a regulatory transgression. This involved the establishment and running of a student panel at a UK university, which was given the task of determining the guilt or otherwise of two students accused of plagiarism – one from a poor background; one from a rich background. Through a survey of both the decision-makers and their judgments, and by analyzing the data using t-tests and Mann–Whitney tests, the associations between different categories of altruism and the decisions made could be ascertained. Findings A total of 70.7% of the participants voted “not-guilty” for the poor student, whereas 68.3% voted “guilty” for the wealthy student. This indicated that self-interested, namely, egoistic altruism complemented by social and self-esteem needs gratification was significantly associated with violating foundational ethical principles. Originality/value This is the first study to be done that attempts to evaluate the relationships between different categories of altruism and ethical decision-making. The findings here challenge aggregating all forms of empathy together when exploring the antecedents of unethical behavior.

Untangling self-reinforcing processes in managerial decision making. Co-evolving heuristics?

2014 ◽  
Vol 52 (5) ◽  
pp. 934-949 ◽  
Author(s):  
Gianpaolo Abatecola
Keyword(s):  
Decision Making ◽  
Organizational Change ◽  
Design Methodology ◽  
Top Management Teams ◽  
Managerial Decision ◽  
Managerial Decision Making ◽  
Content Type ◽  
Research And Practice ◽  
Behavioural Strategy ◽  
Conceptual Paper

Purpose – Over the last 30 years, specific investigations into self-reinforcing processes in managerial decision making have been gaining momentum within the mainstream literature of management. However, to date, it is claimed that understanding these processes properly still requires additional research efforts. Thus, the purpose of this conceptual paper is to follow this claim. Design/methodology/approach – The paper tries to inform the conversation about self-reinforcing processes in managerial decision making through adopting lenses drawing from the biological philosophy of organizational change. In particular, the co-evolutionary approach to organizational change, with a focus on CEOs, and/or top management teams (TMT), is adopted. Findings – As its core contribution, the paper proposes that self-reinforcing processes in the CEOs/TMTs’ decision making can occur because of the emergence (and subsequent consolidation) of co-evolving heuristics. On this basis, the paper also prospect potential avenues for future integrations in this field. Originality/value – As the paper concludes, advancing the general understanding of self-reinforcing processes in managerial decision making can represent an important opportunity for the research and practice of management in general, but also for some management sub-domains, such as that of behavioural strategy, in particular.

Prosumer engagement in innovation strategies

2014 ◽  
Vol 52 (10) ◽  
pp. 1968-1980 ◽  
Author(s):  
Sabina Seran (Potra) ◽  
Monica Izvercian
Keyword(s):  
Decision Making ◽  
Design Methodology ◽  
Relevant Literature ◽  
Marketing Strategies ◽  
Managerial Decision ◽  
Content Type ◽  
Starting Point ◽  
One Step ◽  
Innovative Potential ◽  
External Partner

Purpose – The purpose of this paper is to develop a new enriched approach regarding the prosumer concept and a framework for efficient managerial decision, making use of prosumer innovative potential. Design/methodology/approach – Based on relevant literature sources, this paper takes the prosumer concept one step further from usual interpretations suggesting its innovative potential for companies which adequately address this issue. Depending on their own objectives, the domain limitations and the creativity they are allowing regarding specific activities or campaigns, companies can open up and develop prosumer co-creation strategies. Findings – The authors develop a new prosumer understanding of value co-creation and design prosumer-oriented marketing strategies as a starting point for important decision making and complex marketing campaign creation in an always changing environment. Originality/value – The research contributes to the existing knowledge on prosumerism, being at the same time valuable for managers, especially in the marketing domain. Marketing corporate specialists do not have guidelines on how to understand, relate and engage these new consumers in corporate activities and therefore loose a potential creative external partner and a significant competitive advantage.

Agility evaluation in fuzzy context: influence of decision-makers’ risk bearing attitude

2014 ◽  
Vol 21 (6) ◽  
pp. 1084-1119 ◽  
Author(s):  
Swagatika Mishra ◽  
Siba Sankar Mahapatra ◽  
Saurav Datta
Keyword(s):  
Decision Making ◽  
Fuzzy Numbers ◽  
System Modeling ◽  
Decision Makers ◽  
Measurement Scale ◽  
Fuzzy Membership Function ◽  
Organizational Agility ◽  
Managerial Decision ◽  
Content Type ◽  
Priority Weights

Purpose – The purpose of this paper is to investigate the influence of decision-makers’ (DM) risk bearing attitudes and the effect of the decision-making environment on estimating the overall degree of agility of an organization. The present study explores an extended agility model in a specific organization's hierarchy and reflects how decision-making attitudes alter an organizational agility scenario. Design/methodology/approach – The concept of fuzzy logic has been explored in this paper. Based on DMs’ linguistic judgments, a fuzzy appropriateness rating as well as fuzzy priority weights have been determined for different levels of agile system hierarchy. Using a multi-grade fuzzy approach the overall agility index has been determined. The concept of fuzzy numbers ranking has been explored to show the effect of decision-making attitudes on agility estimations. Findings – Decision-making attributes, e.g. the category of DM (neutral, risk-averse and risk-taking), affect the quantitative evaluation of the overall agility degree, which is correlated with a predefined agility measurement scale. Research limitations/implications – This study explores a triangular fuzzy membership function to express DMs’ linguistic judgments as fuzzy representations. Apart from triangular fuzzy numbers, trapezoidal and Gaussian fuzzy numbers may also be used for agility evaluation. The model may be used in other agile industries for benchmarking and selection of the best approach. Practical implications – Selecting the right decision-making group to compute and analyze the agility level for a particular organization is an important managerial decision. In the case of benchmarking of various agile enterprises the decision-making group bearing the same attitude should be utilized. Originality/value – Agile system modeling and development of agility appraisement platforms have been attempted by previous researchers while the influence of DMs’ risk bearing attitudes, and the effect of the decision-making environment on estimating the overall degree of agility, have rarely been studied. In this context, the authors explore an exhaustive agility model for implementing in a case study and reveal how decision-making attitudes alter organizational agility scenarios.

scholarly journals Reviewing cognitive distortions in managerial decision making

2018 ◽  
Vol 37 (5) ◽  
pp. 409-424 ◽  
Author(s):  
Gianpaolo Abatecola ◽  
Andrea Caputo ◽  
Matteo Cristofaro
Keyword(s):  
Decision Making ◽  
Design Methodology ◽  
Cognitive Distortions ◽  
Managerial Decision ◽  
Managerial Decision Making ◽  
Content Type ◽  
Integrative Framework ◽  
Scientific Dialogue ◽  
Management Literature ◽  
Development Area

Purpose Why and how do cognitive distortions in managerial decision making occur? All organizations are imperfect systems (Katz and Kahn, 1966), with wrong decisions often just round the corner. As a consequence, addressing these important questions continues to be particularly lively in the management development area, especially in terms of its intended contribution to the de-biasing activity. Thus, the purpose of this paper is to provide the current scientific dialogue on the topic with updated lenses, which can also be innovative from some aspects. Design/methodology/approach The review framework is based on the recent, impactful article on biases in managerial decision making by Kahneman et al. (2011), and on Bazerman and Moore’s (2013) perspective on emanating heuristics, considered as the causes of biases. Accordingly, the authors derive four intertwined thematic clusters of heuristics, through which the authors systematically group and critically analyze the management literature mostly published on the topic since 2011. Findings From the analyzed clusters the authors propose an integrative framework of emanating heuristics, which focuses on the co-evolving relationships and potentially self-reinforcing processes in and between them. Originality/value The value of the contribution is threefold: from a methodological perspective, to the authors’ knowledge, the studies adopted as the basis of the analysis have not yet been simultaneously used as a comprehensive ground for updated reviews on this topic; from a conceptual perspective, the emerging integrative co-evolutionary framework can help explain the dangerous connections among cognitive traps and emanating heuristics; and from a practical perspective, the resulting framework can also be helpful for future de-biasing attempts in the business arena.

Transforming HR in the digital era

2015 ◽  
Vol 23 (3) ◽  
pp. 1-4 ◽  
Author(s):  
PRERNA LAL
Keyword(s):  
Decision Making ◽  
Design Methodology ◽  
Predictive Power ◽  
Review Of The Literature ◽  
Organizational Decision Making ◽  
Content Type ◽  
Digital Era ◽  
Hr Management ◽  
The Right ◽  
Practical Implications

Purpose – Shows how workforce analytics can help human resource (HR) management specialists to be more effective in the digital era. Design/methodology/approach – Draws on the author’s experience, plus a review of the literature. Findings – Reveals how analytics have transformed ways of managing a diversified workforce and helped to put HR at the center of organizational decision-making. Practical implications – Claims that the predictive power of analytics can help to make HR more effective. Social implications – Highlights how analytics can help to fit the right people to the right jobs, ensure they receive the right training and the right pay and stay loyal to the organization. Originality/value – Reveals that the power of analytics can be used to make virtually all HR functions more effective.

Measuring engagement

2019 ◽  
Vol 27 (2) ◽  
pp. 1-3
Keyword(s):  
Decision Making ◽  
Employee Engagement ◽  
Design Methodology ◽  
Reading Time ◽  
Decision Makers ◽  
Multi Criteria Decision Making ◽  
Content Type ◽  
Single Scale ◽  
Pertinent Information ◽  
Practical Implications

Purpose This paper aims to review the latest management developments across the globe and pinpoint practical implications from cutting-edge research and case studies. Design/methodology/approach This briefing is prepared by an independent writer who adds their own impartial comments and places the articles in context. Findings This paper looks at different scales of measuring employee engagement. There is no previously agreed-upon single scale of measurement. This study uses the multi-criteria decision-making method to evaluate different choices and criteria, taking into account decision-makers’ judgments and preferences, to indicate which single scale would be the best to use for measuring employee engagement. Originality/value The briefing saves busy executives and researchers hours of reading time by selecting only the very best, most pertinent information and presenting it in a condensed and easy-to-digest format.

Learning disability and challenges in male prisons: programme screening evaluation

2019 ◽  
Vol 11 (1) ◽  
pp. 49-59
Author(s):  
Helen Wakeling ◽  
Laura Ramsay
Keyword(s):  
Decision Making ◽  
Learning Disability ◽  
Design Methodology ◽  
Screening Tool ◽  
Clinical Decision Making ◽  
Clinical Decision ◽  
Decision Makers ◽  
Screening Tools ◽  
Content Type ◽  
Effective Use

Purpose The purpose of this paper is to validate the learning screening tool (LST) and the adapted functioning checklist-revised (AFC-R) as screening tools to aid programme allocation, and to investigate whether programme decision makers were using the tools as per the guidance provided by HMPPS Interventions Services. Design/methodology/approach LST and AFC-R data were gathered for 555 men who had been assessed for programmes between 2015 and 2018 across eight prisons and one probation area. WAIS-IV IQ data were also gathered if completed. Findings The findings provide support for the use of the LST, and AFC-R in helping to make decisions about programme allocation. The LST and AFC-R correlate well with each other, and a measure of intellectual functioning (WAIS-IV). Those who were allocated to learning disability or challenges (LDC) programmes scored higher on the LST (greater problems) and lower on the AFC-R (lower functioning) compared to those allocated to mainstream programmes. The LST had adequate predictive validity. In the majority of cases, the correct procedures were followed in terms of using the tools for programme allocation. Research limitations/implications The sample size for examining the relationships between all three tools was limited. The research was also unable to take into consideration the clinical decision making involved in how the tools were interpreted. Originality/value This research contributes to the growing evidence about the effective use of LDC screening tools in forensic settings.

Grey risky multi-attribute decision-making method based on regret theory and EDAS

2019 ◽  
Vol 9 (1) ◽  
pp. 101-113 ◽  
Author(s):  
Lili Qian ◽  
Sifeng Liu ◽  
Zhigeng Fang
Keyword(s):  
Decision Making ◽  
Design Methodology ◽  
Decision Makers ◽  
Regret Theory ◽  
Ranking Problem ◽  
Content Type ◽  
Multi Attribute Decision Making ◽  
Method Of Evaluation ◽  
Regret Aversion ◽  
First Time

Purpose The purpose of this paper is to advance a new grey risky multi-attribute decision-making (RMADM) method from the perspective of regret aversion, which is based on the general grey numbers (GGNs) taking the form of kernel and degree of greyness. Design/methodology/approach First, the normalised grey decision-making matrix is obtained on the basis of kernel and greyness degree of GGNs. Then the regret theory is integrated into the decision-making process by constructing the grey perceived utility function based on GGNs. Finally, the method of evaluation based on distance from average solution (EDAS) is applied to handle with the ranking problem because of its efficiency, stability as well as simplicity. Findings GGNs have more powerful capacity in expressing uncertainty than interval grey numbers, so the method can solve a larger number of RMADM problems in uncertain and imprecise environments. Meanwhile, the method fully considers the psychological behaviour of the decision makers, which is more applicable to the real world. It is the supplement and perfection of the existing RMADM methods. Originality/value The RMADM problem, the grey regret-rejoice function and the EDAS method are all introduced for the first time with GGNs in the form of kernel and degree of greyness. At the same time, the EDAS method is also the first time to be used in combination with the grey RMADM method based on the regret theory.

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