monetary loss
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2021 ◽  
Author(s):  
Alexander C. Walker ◽  
Madison Stange ◽  
Mike Dixon ◽  
Jonathan Albert Fugelsang ◽  
Derek J. Koehler

In the domain of scratch card gambling, “pushes” refer to outcomes in which a prize is won that is equal to the cost of a scratch card game. Despite resulting in no net monetary gain, these outcomes are categorized as wins by lottery operators, effectively inflating published scratch card information (e.g., posted odds of winning). Additionally, the experience of obtaining a push shares similarities (e.g., the revealing of matching symbols) with the experience of obtaining a win and thus may be experienced similarly to wins by gamblers. Across four studies (N = 1502), we examined the impact of push outcomes on participants’ perceptions of scratch card games. In Studies 1 and 2, participants reported feeling more likely to win, more excitement to play, and a stronger urge to gamble when presented with a scratch card that categorized push outcomes as wins compared to when presented a scratch card that did not categorize these outcomes as wins. In Study 3, participants experiencing a push outcome prior to a loss reported feeling more likely to win compared to those not experiencing a push outcome yet experiencing the same net monetary loss. In Study 4, push outcomes were found to elicit more excitement and a stronger urge to gamble compared to losses but less excitement and a weaker urge to gamble compared to wins. Overall, the present investigation suggests that push outcomes, a prevalent feature of scratch card games, can bias gambling-related judgments and increase the appeal of scratch card games.


2021 ◽  
Vol 150 ◽  
pp. 105723
Author(s):  
Jeroen Van Dessel ◽  
Marina Danckaerts ◽  
Matthijs Moerkerke ◽  
Saskia Van der Oord ◽  
Sarah Morsink ◽  
...  
Keyword(s):  

Cortex ◽  
2021 ◽  
Author(s):  
Kathrin Weidacker ◽  
Seung-Goo Kim ◽  
Camilla L. Nord ◽  
Catarina Rua ◽  
Christopher T. Rodgers ◽  
...  

2021 ◽  
Vol 11 ◽  
Author(s):  
Geyan Shan ◽  
Shengnan Wang ◽  
Wei Wang ◽  
Shujie Guo ◽  
Yongxin Li

Presenteeism refers to the behavior of people who turn up for work despite complaints of ill health that should prompt rest and absence from work. The high incidence of presenteeism in the nurse population has been extensively investigated using self-reported methods to explore its effects on individual outcomes. However, few studies have examined nurse presenteeism using an “other's” perspective to verify self-reported information. Our aim in this study was to evaluate the prevalence, consequences, and causes of presenteeism in Chinese nurses from the perspectives of nurses and chief nurses. A sample of 481 nurses and 282 chief nurses from five hospitals in Henan Province, China, took part in this cross-sectional study. Participants completed the Sickness Presenteeism Questionnaire, Social Productivity Loss Questionnaire, and Causes of Nurse Presenteeism Questionnaire. The human capital method was used to estimate the monetary loss because of nurse presenteeism. We found that 94.25 and 82.08% of nurses experienced presenteeism in the past 6 months from the perspective of nurses and chief nurses, respectively. The annual monetary loss was estimated to be ¥4.38 billion and ¥2.88 billion based on the presenteeism reports from nurses and chief nurses, respectively. Workload, leave system, and conscientiousness are the main reasons for nurse presenteeism, and financial need is another important reason that is likely overlooked by chief nurses. This study provides a foundation for future research by presenting new knowledge about the prevalence, consequences, and causes of presenteeism in Chinese nurses. The findings emphasize the need for nursing managers and nursing departments to establish policy systems around paid sick leave, workload, and communication with managers to reduce nurse presenteeism and the subsequent socio-economic financial losses.


2020 ◽  
Vol V (III) ◽  
pp. 118-127
Author(s):  
Muhammad Awais ◽  
Sadaf Kashif ◽  
Asif Raza

The research essay aims to understand investor's ability to forecast having the perception of status quo and monetary loss-aversion in the situation of amygdala damages and asymmetry during decisions regarding stock's investment and use of several techniques to make efficient investment decisions based on optimal forecasting. The objectives of this study are to inquire about the irrationalities in investors at the time of stock's investment, having status quo and monetary loss-averse bias of investors at the time of amygdala damages and asymmetry and find-out the ways to deal with these situations. A qualitative research style was used for data collection for the subject study. Partially-organized discussions were arranged to get information in detail. A sample of 15 experienced stock marketers and brokers and 35 investors from the Pakistan stock exchange were selected for this study. This inquiry found the definite type of edgy and biased investor's attitude in the market and also found their solutions. This study perceptibly peaks the ways to deal with stress and biasness through optimal forecasting techniques and some other suggestions.


2020 ◽  
pp. 014616722095222
Author(s):  
Lauren Clatch ◽  
Eugene Borgida

Judgment and decision-making research on discounting suggests that when humans are thinking about gains, they tend to prefer certain and immediate outcomes to uncertain and delayed outcomes. However, discounting has been studied primarily using monetary commodities and, until recently, by testing one feature of the binary forced-choice task at a time: delay, probability, or amount of money received/lost. The present research is the first test of a dual discounting task that combines probability and delay into a single, binary forced-choice task in a non-monetary loss context. The key findings, based on three studies, suggest that delay and probability discounting play a significant role in decisions including non-monetary loss commodities like plea bargaining. Future work should explore the boundary conditions of dual discounting based not only on the nature of the binary choice (probability and delay) but also on the nature of the commodity (amount, valence, and quantifiability).


2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Rohit Gupta ◽  
Baidyanath Biswas ◽  
Indranil Biswas ◽  
Shib Sankar Sana

Purpose This paper aims to examine optimal decisions for information security investments for a firm in a fuzzy environment. Under both sequential and simultaneous attack scenarios, optimal investment of firm, optimal efforts of attackers and their economic utilities are determined. Design/methodology/approach Throughout the analysis, a single firm and two attackers for a “firm as a leader” in a sequential game setting and “firm versus attackers” in a simultaneous game setting are considered. While the firm makes investments to secure its information assets, the attackers spend their efforts to launch breaches. Findings It is observed that the firm needs to invest more when it announces its security investment decisions ahead of attacks. In contrast, the firm can invest relatively less when all agents are unaware of each other’s choices in advance. Further, the study reveals that attackers need to exert higher effort when no agent enjoys the privilege of being a leader. Research limitations/implications In a novel approach, inherent system vulnerability of the firm, financial benefit of attackers from the breach and monetary loss suffered by the firm are considered, as fuzzy variables in the well-recognized Gordon – Loeb breach function, with the help of fuzzy expectation operator. Practical implications This study reports that the optimal breach effort exerted by each attacker is proportional to its obtained economic benefit for both sequential and simultaneous attack scenarios. A set of numerical experiments and sensitivity analyzes complement the analytical modeling. Originality/value In a novel approach, inherent system vulnerability of the firm, financial benefit of attackers from the breach and monetary loss suffered by the firm are considered, as fuzzy variables in the well-recognized Gordon – Loeb breach function, with the help of fuzzy expectation operator.


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