scholarly journals A compartment modeling approach to reconstruct and analyze gender and age-grouped CoViD-19 Italian data for decision-making strategies

2021 ◽  
Vol 118 ◽  
pp. 103793
Author(s):  
Alessandra Cartocci ◽  
Gabriele Cevenini ◽  
Paolo Barbini
2020 ◽  
Vol 12 (18) ◽  
pp. 7505
Author(s):  
Victoria Bogdan ◽  
Delia Deliu ◽  
Tomina Săveanu ◽  
Olimpia Iuliana Ban ◽  
Dorina Nicoleta Popa

This research aims to investigate whether gender and age of Professional Accountants influence their opinion upon accounting judgments and sustainable decision-making. Through a questionnaire, accountants were interrogated about their education, professional profile, age, gender, personality traits, and their perception on accounting judgment and professional behavior. On one hand, results showed that women accountants are more inclined to comply with accounting regulations and more interested in following an ethical behavior. Moreover, women tend to be more interested in fulfilling managers’ expectations and more willing to collaborate. On the other hand, men accountants proved to be more independent in judgments and more skeptical. Furthermore, men have a greater propensity to make accurate, sustainable judgments, considering the evaluation of goodwill as more important than women. However, no correlations were found between age, gender and accountants’ perception on the theoretical framework of professional accounting judgment. As the age of accountants grows, the compliance degree to regulations increases. This study adds value to gender accounting literature by the way it examines accountants’ behavior and perception towards accounting judgments and sustainable decisions in correlation to gender diversity and age.


2008 ◽  
Vol 161 (2) ◽  
pp. 142-152 ◽  
Author(s):  
Eldad Yechiam ◽  
Elizabeth P. Hayden ◽  
Misty Bodkins ◽  
Brian F. O'Donnell ◽  
William P. Hetrick

Science ◽  
2013 ◽  
Vol 340 (6128) ◽  
pp. 95-98 ◽  
Author(s):  
Bingni W. Brunton ◽  
Matthew M. Botvinick ◽  
Carlos D. Brody

The gradual and noisy accumulation of evidence is a fundamental component of decision-making, with noise playing a key role as the source of variability and errors. However, the origins of this noise have never been determined. We developed decision-making tasks in which sensory evidence is delivered in randomly timed pulses, and analyzed the resulting data with models that use the richly detailed information of each trial’s pulse timing to distinguish between different decision-making mechanisms. This analysis allowed measurement of the magnitude of noise in the accumulator’s memory, separately from noise associated with incoming sensory evidence. In our tasks, the accumulator’s memory was noiseless, for both rats and humans. In contrast, the addition of new sensory evidence was the primary source of variability. We suggest our task and modeling approach as a powerful method for revealing internal properties of decision-making processes.


2020 ◽  
Vol 92 (9) ◽  
pp. 1360-1361
Author(s):  
S. Schwarz ◽  
E. Cremer-Bujara ◽  
P. Biessey ◽  
M. Grünewald

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