Rare Events Queueing System – REQS

Tanackov, Ilija; Jevtić, Žarko; Stojić, Gordan; Sinani, Feta; Ercegovac, Pamela

doi:10.31181/oresta1902014t

Cited by 3 publications

(3 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…If there were no significant changes in the results (step 3*) of the environment analysis or conditions that affect the functioning of the organization by using appropriate analytical techniques-SWOT, PEST, etc. (for more on how to implement SWOT/PEST analysis, see references [93][94][95][96][97][98])-the analysis would be evaluated in the next assessment period, and if there were changes, the next step would be taken (step 4*). Political guidelines in case of rapid changes have a direct impact on changes in motivation models, and in case of regular situations and minor changes, they are taken into account in step 3* and have an impact on the analysis of the situation on changes in the motivation model or on changes in the list of factors for examining motivation.…”

Section: Discussionmentioning

confidence: 99%

Sustainability of the Motivation Policy Model for Employees in State Administration

Kovačević¹,

Blagojević²,

Kuzmanović³

2020

Sustainability

View full text Add to dashboard Cite

An important condition for the performance sustainability of organizations, in the public and state sector, is the maintenance and improvement of the employee motivation policy model. Motivation for work has a significant impact on the success of modern organizations; the impact is multidimensional and complex, and it has been confirmed empirically. Motivation is influenced by numerous factors, of different influence and hierarchy, which depend on socio-economic conditions and cultural determinants, but also on the characteristics of employees, and it is necessary to constantly monitor them. The paper presents a sustainable model of employee motivation in public administration and the results of research on the hierarchy and the impact of motivation factors on employees of different demographic characteristics. The research was conducted by an anonymous survey of 2128 respondents (1576 employees in the state administration and 552 persons employed in the Republic of Serbia outside the state administration), in the period March–June 2020. The questionnaire developed for this research has 16 questions on motivating factors with a scale with a high level of internal consistency. Using one-factor analysis of variance (ANOVA), tests of subsequent comparisons, and t-test, statistically significant differences are determined for the influence of motivational factors on respondents of different levels of education, age, role in organization, gender, and family status—also, the magnitude of influence ranges from small to large. The influence of motivational factors is greater for older people, for people with a higher level of education, for managers in relation to workers, for women in relation to men, as well as for persons in marriage in relation to persons out of wedlock. By applying multi-criteria analysis, the factors are ranked: the amount of salary and good interpersonal relations are at the top, while criticism and information about work are in the last positions. As a factor that negatively affects motivation, low wages stands out. The difference in the motivation of state administration members was determined by comparing the results of motivational factors’ influence with the appropriate sample of employees outside the state administration. Differences were registered for 15 out of 16 factors (only for the factor high wages, there is no difference), and the magnitude of the impact is medium and small.

show abstract

Section: Discussionmentioning

confidence: 99%

Sustainability of the Motivation Policy Model for Employees in State Administration

Kovačević¹,

Blagojević²,

Kuzmanović³

2020

Sustainability

View full text Add to dashboard Cite

show abstract

“…Despite this limitation, the proposed test can be applied for the primary selection of a series of generated random numbers. The estimated limit is based on the rare event standard [37] for the exponential distribution parameter λ = 10 −6 , or 1,000,000 consecutive random decimals.…”

Section: Discussionmentioning

confidence: 99%

Natural Test for Random Numbers Generator Based on Exponential Distribution

et al. 2019

View full text Add to dashboard Cite

We will prove that when uniformly distributed random numbers are sorted by value, their successive differences are a exponentially distributed random variable Ex(λ). For a set of n random numbers, the parameters of mathematical expectation and standard deviation is λ =n−1. The theorem was verified on four series of 200 sets of 101 random numbers each. The first series was obtained on the basis of decimals of the constant e=2.718281…, the second on the decimals of the constant π =3.141592…, the third on a Pseudo Random Number generated from Excel function RAND, and the fourth series of True Random Number generated from atmospheric noise. The obtained results confirm the application of the derived theorem in practice.

show abstract

“…Several psychological theories, such as reluctance-to-think [2] and equate-to-differentiate [5] assumptions were originally proposed to qualitatively explain the disjunction effect. Later, as quantum models of cognition and decision making have become a popular new approach to psychology [6], one influential type of quantum model for decision making, the quantum belief-action entanglement (BAE) model, which is derived from quantum probability theory [7] and the Markov process model [8,9], was proposed to quantitatively account for the disjunction effect. A series of studies have suggested that the quantum probability based quantum BAE model can explain the disjunction effect, while the classical probabilitybased Markov process model (Markov BA model), with the identical cognitive setting, cannot (e.g., [10][11][12][13]).…”

Section: You Defectmentioning

confidence: 99%

A More Realistic Markov Process Model for Explaining the Disjunction Effect in One-Shot Prisoner’s Dilemma Game

et al. 2022

View full text Add to dashboard Cite

The quantum model has been considered to be advantageous over the Markov model in explaining irrational behaviors (e.g., the disjunction effect) during decision making. Here, we reviewed and re-examined the ability of the quantum belief–action entanglement (BAE) model and the Markov belief–action (BA) model in explaining the disjunction effect considering a more realistic setting. The results indicate that neither of the two models can truly represent the underlying cognitive mechanism. Thus, we proposed a more realistic Markov model to explain the disjunction effect in the prisoner’s dilemma game. In this model, the probability transition pattern of a decision maker (DM) is dependent on the information about the opponent’s action, Also, the relationship between the cognitive components in the evolution dynamics is moderated by the DM’s degree of subjective uncertainty (DSN). The results show that the disjunction effect can be well predicted by a more realistic Markov model. Model comparison suggests the superiority of the proposed Markov model over the quantum BAE model in terms of absolute model performance, relative model performance, and model flexibility. Therefore, we suggest that the key to successfully explaining the disjunction effect is to consider the underlying cognitive mechanism properly.

show abstract

Rare Events Queueing System – REQS

Cited by 3 publications

References 0 publications

Sustainability of the Motivation Policy Model for Employees in State Administration

Sustainability of the Motivation Policy Model for Employees in State Administration

Natural Test for Random Numbers Generator Based on Exponential Distribution

A More Realistic Markov Process Model for Explaining the Disjunction Effect in One-Shot Prisoner’s Dilemma Game

Contact Info

Product

Resources

About