Neuro-Postulates in Economics of Absence

Posted: 27 Mar 2014

See all articles by Col Prof Dr Jyotirmaya Satpathy

Col Prof Dr Jyotirmaya Satpathy

Professor, College of Management and Commerce, Srinivas University, Mangaluru, India

Date Written: March 27, 2014

Abstract

Humans and Constabulary Forces have long been recognized as complex, nonlinear systems interacting dynamically. Modern economic theory assumes that human decision-making involves rational Bayesian maximization of expected utility, as if humans were equipped with unlimited knowledge, time and information-processing power. Decisions are an inevitable part of human activities. Each day life is full of decisions and choices. An important question is how people make (absence) decisions. Specifically, researchers are interested in assumptions, beliefs, habits, and tactics that people use to make decisions. Research suggests that brain considers various sources of information before making a decision. However, how does it do this? In addition, why does the process sometimes go awry, causing us to make impulsive, indecisive and confused decisions; kinds that can lead to risky and potentially dangerous behaviours? Human behaviour is not the product of a single process. To a certain extent it reflects interaction of different specialized subsystems. These systems usually interact seamlessly to determine behaviour, but at times, they compete. Effect is that brain sometimes argues with itself, as these distinct systems come to different conclusions about what we should do. Human behaviour, in general, is not under constant and detailed control of careful and accurate hedonic computations. It is product of an unstable and irrational complex of reflex actions, impulses, instincts, habits, customs, fashion and hysteria. For a long time, economists have argued that humans make decisions by obeying laws of rationality. Human behaviour is inherently multi-modal. Human performance has been subject of active research from quite a few perspectives. How do we make a decision? Decision makers have tendency to seek more information than required to make good decision. When too much information is sought and obtained, one or more of several problems can arise. A delay occurs because of time required to obtain and process extra information. This delay impairs effectiveness of decision or solution. Information overload occurs. In this state, decision-making ability actually declines because information in its entirety can no longer be managed or assessed appropriately. A key problem caused is forgetfulness. When too much information is taken into memory, especially in a short period, some information (often that received early on) will be pushed out. Neuroabsenteeism seeks to give explanation human decision-making, ability to process multiple alternatives and choose an optimal course of action. It studies how absence behavior shape understanding of brain and guide models of absence via. Neuro-economics, experimental and neuroabsence and cognitive and Constabulary Forces psychology. As research in decision-making behaviour becomes computational, it incorporates approaches from theoretical biology, computer science and mathematics. Neuroabsenteeism adds by using methods in understanding interplay between absence behaviour and neural mechanisms. By using tools from various fields, Neuroabsenteeism offers a more integrative way of understanding decision making. It offers solution through an additional set ofstatistics obtained via a series of measurements of brain activity at the time of decisions. The study of decision making requires extensive empirical study and setting for basic research on how ill-structured problems are, and can be, solved. It proposes a number of methodological studies to develop implementation proposition methods including studies into: guideline development and presenteeism development of a method for assessing guidelines for absence assessment, development of a framework for evaluating and adapting guidelines for local use, the design, conduct and analysis of cluster randomized trials and interrupted time series designs. The study develops a cluster randomized sample size to develop practical tools to support implementation researchers alongside ongoing programs of implementation.

Keywords: Neuro – Postulates, Economics of Absence

Suggested Citation

Satpathy, Col Prof Dr Jyotirmaya, Neuro-Postulates in Economics of Absence (March 27, 2014). Available at SSRN: https://ssrn.com/abstract=2416708

Col Prof Dr Jyotirmaya Satpathy (Contact Author)

Professor, College of Management and Commerce, Srinivas University, Mangaluru, India ( email )

Srinivas University, Mangaluru, India
Srinivas University, Mangaluru, India
Mangaluru
India
7260815968 (Phone)

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