The Role of Profitability in Divisional Decision Making and Performance Evaluation

1990 ◽  
Vol 20 (78) ◽  
pp. 135-141 ◽  
Author(s):  
R. C. Skinner
Keyword(s):  
Decision Making ◽  
Performance Evaluation ◽  
And Performance

The Aviation Operational Environment

2011 ◽  
pp. 241-282 ◽  
Author(s):  
Ronald John Lofaro ◽  
Kevin M. Smith
Keyword(s):  
Decision Making ◽  
Performance Evaluation ◽  
Automated System ◽  
Use Value ◽  
Flight Crew ◽  
Operational Environment ◽  
Decision Performance ◽  
Flight Simulators ◽  
And Performance

This chapter will focus on the role of pilot/flightcrew training and performance evaluation in the identification and management of risk, especially while aloft and in changing conditions. The chapter will integrate different- but we posit interrelated, topic areas: First, a decision-making paradigm for flight crew’s use in the operational environment. Second, training and performance evaluation in flight simulators (FS), as well as the design and development of FS scenarios to test decision performance. Third, Relevant Federal Aviation regulations (FAR’s) and approved programs in current pilot/flightcrew training. Fourth, accident investigations; the role and use-value of accident investigation data in flying safety. Finally, the authors will present recommendations for the next steps in the development and use of new and emerging technologies for maximum pilot/flight crew decision performance and safety. This will be done via a collaborative ground-air, automated system and is what we propose to achieve our goal, increasing safety of flight.

Hippocampal Theta Activity and Learning: A Reply to Douglas

1969 ◽  
Vol 24 (2) ◽  
pp. 580-582 ◽  
Author(s):  
Thomas L. Bennett
Keyword(s):  
Decision Making ◽  
Information Processing ◽  
Electrical Activity ◽  
Memory Consolidation ◽  
Theta Activity ◽  
Hippocampal Theta Activity ◽  
And Performance ◽  
Hippocampal Theta ◽  
Learning And Performance

Adey and his associates have asserted that theta electrical activity recorded from the hippocampus during learning and performance reflects the role of this structure in information processing, decision making and memory consolidation. This notion was recently questioned by Douglas (1967) who concluded that the tasks employed by Adey and his associates to assess theta activity were tasks which the lesion literature indicated do not requite hippocampal functioning to be learned. The present paper questions Douglas' assertion by describing studies in the lesion literature which demonstrate that the tasks used by Adey and his co-workers may actually require hippocampal functioning to be learned.

scholarly journals How Teacher Characteristics Relate to How Teachers Use Dashboards: Results From Two Case Studies in K-12

2021 ◽  
Vol 8 (2) ◽  
pp. 6-21
Author(s):  
Anouschka van Leeuwen ◽  
Carolien A. N. Knoop-van Campen ◽  
Inge Molenaar ◽  
Nikol Rummel
Keyword(s):  
Decision Making ◽  
Case Studies ◽  
Teacher Characteristics ◽  
Specific Form ◽  
Future Research ◽  
Teacher Decision Making ◽  
And Performance ◽  
K 12 ◽  
Initial Framework

Teacher dashboards are a specific form of analytics in which visual displays provide teachers with information about their students; for example, concerning student progress and performance on tasks during lessons or lectures. In the present paper, we focus on the role of teacher dashboards in the context of teacher decision-making in K–12 education. There is large variation in teacher dashboard use in the classroom, which could be explained by teacher characteristics. Therefore, we investigate the role of teacher characteristics — such as experience, age, gender, and self-efficacy — in how teachers use dashboards. More specifically, we present two case studies to understand how diversity in teacher dashboard use is related to teacher characteristics. Surprisingly, in both case studies, teacher characteristics were not associated with dashboard use. Based on our findings, we propose an initial framework to understand what contributes to diversity of dashboard use. This framework might support future research to attribute diversity in dashboard use. This paper should be seen as a first step in examining the role of teacher characteristics in dashboard use in K–12 education.

Feedback Frequency Effect on Performance Time in Dynamic Decision Making Task

2017 ◽  
Vol 61 (1) ◽  
pp. 188-192
Author(s):  
Nakkyeong Choi ◽  
Rohae Myung
Keyword(s):  
Decision Making ◽  
Performance Evaluation ◽  
Task Performance ◽  
Dynamic Decision Making ◽  
Frequency Effect ◽  
Performance Time ◽  
Successful Work ◽  
Activation Theory ◽  
And Performance ◽  
Feedback Frequency

Decision support such as feedback has been considered to be crucial for successful work in many important Dynamic Decision Making (DDM) tasks. However, previous research did not consider the effect of feedback frequency on the performance time which, in conjunction with accuracy, is an important measure of the task performance evaluation in DDM. Therefore, in order to accurately evaluate task performance in a DDM, not only the accuracy of performance, but also the time to perform the task should be considered. This paper will examine the effect of feedback frequency on the task performance time in DDM. Drawing from activation theory (Anderson, 2009), we hypothesized that frequent feedback induces cognitive overload, resulting in learning degradation, and thus producing a U-shaped relationship with performance time. In order to test this hypothesis, we have experimented with the DDM simulation where the frequency of feedback was manipulated. The results demonstrate that there is U-shaped relationship between feedback frequency and performance time ( R2= 0.746, p < 0.01). Our findings show that providing excessively frequent feedback to an operator negatively affects performance time.

scholarly journals Decision making and performance of Malaysian rugby sevens referees

2015 ◽  
Vol 4 ◽  
Author(s):  
Mohamad Nizam
Keyword(s):  
Decision Making ◽  
Performance Evaluation ◽  
Significant Relationship ◽  
Field Performance ◽  
Rugby Union ◽  
Future Research ◽  
Experience Level ◽  
Research Findings ◽  
And Performance ◽  
One Way Anova

<p>This study aims to examine the decision making by rugby sevens referees, and its relationship with the referees’ performance. The instruments used in this study are the Rugby Referee Decision Making Test (α=.74) and the Referee Sevens Field Performance Evaluation (α=.94). It was administered to 132 rugby sevens referees (mean age 33.4 + 1.5 years; 132 males) from the Malaysian Rugby Union (MRU), which have been refereeing in 10 rugby sevens tournaments in Malaysia. Descriptive and Inferential statistics (one way ANOVA and Pearson’s Correlation) were employed to analyse the data. Decision Making ( = 24.13, SD= 5.24) and performance ( = 136.45, SD = 4.47) were identified at a moderate level. The findings indicated no significant differences [F= (3, 128) =.246, p&gt;0.05] in the decision making across age level, but there were significant differences [F= (3, 128) =63.159, p&lt;0.05] across experience level. Highly experienced referees scored significantly higher in all decision making constructs compared to less experienced referees. The research findings have revealed a positive and significant relationship between decision making (r= .61, p&lt;.05) and referee performance. In conclusion, the decision making can help rugby sevens referees’ performance, and it is recommended that referees should increase<strong> </strong>the use of decision making in future<strong> </strong>training and assessment. Future research should investigate the effectiveness of decision making interventions in enhancing referees’ performance in the future.</p>

Age Differences in Complex Decision Making and Judgment

2021 ◽  
pp. 203-233
Author(s):  
Klara Rydzewska ◽  
Maciej Koscielniak ◽  
Bettina von Helversen ◽  
Grzegorz Sedek
Keyword(s):  
Older Adults ◽  
Decision Making ◽  
Individual Differences ◽  
Age Differences ◽  
Motivational Factors ◽  
Age Related ◽  
Complex Decision Making ◽  
Complex Decision ◽  
And Performance

This chapter discusses age differences in complex decision making and judgment, particularly the role of motivational factors and individual differences. Literature on the influence of age-related changes in cognition and motivation on search and performance in complex decision making is reviewed. The role of financial incentives, need for cognition, and need for cognitive closure is discussed, including the age-related influence of motivational factors on the performance of sequential decision-making tasks. Additionally, the role of feedback as a factor producing superior performance of older adults in a decision-making task is introduced. Moreover, novel research findings regarding connections between intellectual helplessness and information and communication technologies in older adults are presented. Lastly, individual differences in numeracy and intellectual helplessness in mathematics as predictors of age-related differences in performance of multiattribute tasks are described.

Efficiency ranking method using DEA and TOPSIS (ERM-DT): case of an Indian bank

2016 ◽  
Vol 23 (1) ◽  
pp. 165-182 ◽  
Author(s):  
Asmita Chitnis ◽  
Omkarprasad S Vaidya
Keyword(s):  
Decision Making ◽  
Performance Evaluation ◽  
Evaluation Process ◽  
Ranking Method ◽  
Undesirable Output ◽  
Content Type ◽  
Super Efficiency ◽  
Efficiency Ranking ◽  
Dea Approach ◽  
And Performance

Purpose – The purpose of this paper is to present a tie-breaking procedure for computing performance efficiencies to improve benchmarking and performance evaluation process in a business situation. Design/methodology/approach – The authors propose a unified approach based on data envelopment analysis (DEA) and technique for order of preference by similarity to ideal solution (TOPSIS), to overcome the difficulty of unique ranking in the prevalent benchmarking and performance evaluation processes such as DEA, Super efficiency DEA model, etc., under constant return to scale (CRS) assumption. This model is called as efficiency ranking method using DEA and TOPSIS (ERM-DT). In order to check the consistency of the approach, various input-output combinations (to calculate the efficiencies) have been illustrated. Further, the authors present a case of an Indian Bank to illustrate an application of the proposed approach. Findings – The proposed approach, ERM-DT enables assign a unique rank to decision making units and provides a tie breaking procedure. Results obtained using the proposed approach are statistically compared with those obtained from the CRS DEA approach and super efficiency DEA approach using Friedman’s test. Practical implications – The proposed model provides an efficiency ranking method based on a score obtained by considering the minimum distance from the best value and maximum distance from the worst value. The proposed methodology is capable of handling negative data and undesirable output variables. This approach is unit invariant and makes the calculations simple. The authors present an application to compute the efficiency of various branches of an Indian bank. The authors hope the proposed method can enhance the decision-making ability of the management in complex situations. Originality/value – The authors propose an integrated DEA and TOPSIS framework for better benchmarking and performance evaluation. This approach provides a tie-breaking procedure for the efficiencies computed using CRS DEA approach. Ranks are assigned based on score obtained by considering the distance from the worst and the best solution. The proposed approach can be used with non-positive data points and undesirable output variables.

scholarly journals Performance Evaluation Of The Hydropower Plants Using Various Multi-Criteria Decision-Making Techniques

2019 ◽  
Vol 8 (6) ◽  
pp. 2131-2138
Keyword(s):  
Decision Making ◽  
Performance Evaluation ◽  
Preference Ranking ◽  
Multi Criteria Decision Making ◽  
Power House ◽  
Hydropower Plants ◽  
Sardar Sarovar ◽  
And Performance ◽  
Weighted Aggregate ◽  
Maintenance Schedules

Annual growth of 2.3 % since 1990 to 2017 in the hydropower sector in India indicates it holds a vital position in the growth of electricity generation in the country. For effective and efficient running of the hydropower projects, maintenance schedules and performance evaluation have to be done. Thus, this paper presents the performance evaluation of four different hydro-powerhouses belonging to a different class. Multi-criteria decision making (MCDM) method stepwise weight assessment ratio analysis (SWARA) is used to calculate the weights. The weights calculated by SWARA are employed to assess the performance scores or ranks of Indira Sagar Project (ISP), Canal Head Power House (CHPH) and River Bed Power House (RBPH) at Sardar Sarovar Narmada Nigam Ltd. (SSNNL) by integrating SWARA with the MCDM techniques like weighted aggregate sum product assessment (WASPAS), technique for order of preference by similarity to ideal solution (TOPSIS) and preference ranking organization method for enrichment evaluation (PROMETHEE). A comparative analysis of these integrated methods is presented for improved future studies in the area of decision making. The results in this paper show performance rankings of the available alternatives, calculated using integrated SWARA-WASPAS, SWARA-TOPSIS and SWARA-PROMETHEE methods. Performance ranks obtained by SWARA-WASPAS and SWARA-TOPSIS methods are in the order ISP, RBPH, CHPH and LSPH, which shows similarity with the on-field performances and are well suited for the performance evaluation of hydropower projects

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