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"Deciding to Decide', 'Preferring to Prefer', 'Deciding to Prefer' and 'Preferring to Decide' are four 'bordered boundaries' where business actor has to arrive at an optimal neurostrategy based judgement. Objective is to extend theoretical and empirical fundaments of neuroeconomics, by means of lab-based studies via. analyzing cognitive and motivational factors underlying economic decision making, apply theoretical approaches of cognitive neuroscience to decision making, broaden theories to understand underlying mechanisms of decisionmaking processes by means of tools from, Economics, Neuroscience, Psychology and Statistics. This involves eye movements, heart rate or skin conductance to forecast decision behaviors. Aim is to ascertain role of neuroimaging, psychological and physiological tools (fMRI) on the advance of theories on Economics and Business Management. Points of focus are on driving 'information-agents' and 'information-elements'. What neuronal-strategic choices underpin neurostrategy-based judgements? Does systemic analysis reveal neuronal factors that contribute to explain effective mapping of neuro-strategy based judgements? Two specific research questions are pursued. Firstly, how decision choices are explored and secondly, what part of brain aids decision. The core idea is the empirical exploration of brain wave activity. This approach represents a step change to the understanding of choice making, especially under conditions of uncertainty. In doing so the measurement of these waves has become the fundamental approach of experimental-economics. A sample of 01 respondent contributed to experiment. Methodology adopted is combination of theoretical and experimental contributions with focus on capacity to switch between complex left-hemispheric thinking and explorative right-brain thinking. This has transitioned from mapping confined effects to evolving extrapolative models that assimilate data scattered across brain structures. This involves brain wave detection mechanism to forecast decision behaviors. Methodology includes data collection was via single-phase process. For clinical tests, one (01) volunteer respondent (single-subject; N = 01) was chosen. Aim is to ascertain role of neuroimaging, psychological and physiological tools (EEG) on the advance of theories on economics and business management. These provide evidence about 'exploratory' and 'geometric' processes in fluid intellect. How to build interpretable models that aid incentive - based economic decision? How to ensure that interpretable models are stout to adversarial attacks? How to detect and correct biases in interpretable models? What parts of brain aids incentive - based economic decision? What brain - waves depict in interpretable models - based decisions? Neurostrategy-based judgement-oriented planning assists as 'catalyst' in terms of cognitive behaviours. There is need to understand neurobiological 'drivers' for investigating underlying neuro-computational formulation mechanisms of neurostrategy-based judgement processes that underlie neurostrategy-based judgement making. [ABSTRACT FROM AUTHOR]

This conceptual paper explores how brain absorbs information, recognises and frames problematic situations, and chooses appropriate responses to understand neurobiological drivers that underlie behaviour and decision making How is (entrepreneurial) decision making processes carried out in brain? What are the limits of understanding thinking as a form of computing? How does previous experience alter behavior? Do we interpret research findings when neuro (entrepreneurial) logical results conflict? There are unsolved problems in (entrepreneurial) cognition, although some of these have evidence supporting a hypothesized solution, and the field is rapidly evolving. What are the general implications of neuro (entrepreneurial) management? What happens in brain or is activated when Entrepreneurs make decisions or are in the process of making decisions? In this scenario, neuromanagement seeks to explain decision-making, ability to process multiple alternatives and choose optimal course of action. Deciphering such transactions require understanding of neuro processes that implement value - dependent decision making. This leads to formulation of a “neuro - management decision making paradox“. The goal is a speculation of how brain implements decisions that is tied to behaviour. There are unsolved research issues; how does Entrepreneur decide in a state of vacillation, Risk and Probability? How does Entrepreneur decide in state of VUCA (Uncertainty, Vulnerability, Complexity and Ambiguity? This conceptual paper attempts at addressing current pace of advances in methods (fMRI, BOLD, EEG, ECG, etc.), where we are going and what we ought to research next. This conceptual paper attempts to explore phenomena through individual action, decision making and reasoning processes. Objective is to put forward a model for neuro - management decision, in which interaction between variables of neuro - management decision processes are addressed through series of measurements of brain activity at time of decisions. Attempt is to describe a regular model for decision making process with intent of linking neuro - psycho and management levels of analysis capable of predicting observed behaviour. This provides conceptual framework for understanding and conducting Neuro (entrepreneurial) management research at intersection of neuro (entrepreneurial) science, management and psychology linking and spanning neuro(entrepreneurial) biological and psychological and management levels of analysis. [ABSTRACT FROM AUTHOR]

Decision-making is a region of intense study in neuroscience, and cognitive neuroscience. In real-world decision processes, management decisions are complexly interlinked. This paper explores how the brain absorbs information, recognizes and frames problematic situations, and chooses appropriate responses. Brain structures suggest that the brain considers various sources of information before making decision. Brain imaging technologies have stimulated neuro (managerial) studies of internal order of mind and its links with bandwidth of human decisions. How is (managerial) decision making processes carried out in brain? What are the limits of understanding thinking as a form of computing? How does previous experience alter behavior? Do we interpret research findings when neuro (managerial) logical results conflict? Imaging is an important aspect of dynamic capabilities and there is an increasing amount of evidence of how evolutionary patterns are shaped. There are yet unsolved problems in (managerial) cognition, although some of these problems have evidence supporting a hypothesized solution, and the field is rapidly evolving. What are the general implications of neuro (managerial) management? There are unsolved research issues; how do managers decide in state of VUCA (Vulnerability, Uncertainty, Complexity and Ambiguity)? How do we make decisions? How do human brains compute and represent abstract ideas? What counts as explanation of how the brain works (what are function, algorithm and implementation)? This paper attempts to address advances in methods (fMRI, BOLD, EEG, ECG, etc), where we are going, and what we ought to research next. This provides a conceptual framework for understanding and conducting neuro (managerial) management research at the intersection of neuro (managerial) science, management and psychology, offer solution through measurements of brain activity at time of decisions, ultimately linking and spanning neuro (managerial) biological and psychological and management levels of analysis. [ABSTRACT FROM AUTHOR]