Behavioral Aspects of Organizational Learning and Adaptation

In this paper, I seek to understand the behavioral basis of higher organizational learning and adaption as a teleological dynamic equilibrium process to decipher the underlying psycho-physiological aspects of individual cognitive learning related to organizational adaption. Dynamics of cognitive learning has some differential paths within the neural circuitry which follows certain patterns that leads to individual as well as organized evolution in course of a learning process. I undertake a comparative analysis of human cognitive and behavioral changes and the active mechanisms underlying animal behavior and learning processes to understand the differential patterns of these adaptive changes in these two species. Cognitive behavioral learning processes have certain economic perspectives which help an individual to attain efficiency in workplace adaptation and in learning which however, the individual when being part of an alliance, ember positive influence on the society or organization as a whole. Comparatively, in primates, I review some empirical evidences drawn from chronological studies about cognitive behavioral learning process and adaptation as well as the presence of the capacity of making attributions about mental states, which exists in rudimentary form in chimpanzees and apes. Following this, I apply the outcomes of the findings on different aspects of human cognitive and adaptive behavioral learning-induced evolutionary changes and how human beings are able to exploit the presence of these additive advantages under cluster settings.Animal behavior, cognitive economics, motivational energy, neural adaptation, neuroscience, Organizational learning, organizational adaptation, teleological process

Market Wide Liquidity Instability in Business Cycles

This paper deals with an existing question; does market liquidity disequilibrium leads to stock market bubble burst? Contemporary research has shown that liquidity is the key driving force behind capital market growth and its sustenance. Stock markets usually react to changes in market-wide liquidity, whose supply-demand cycle fluctuates with investor behavior actions. Market illiquidity due to supply shocks or sudden redemption, does exert strain on the financial markets as of when if too much untenable, lead to market crash. In this paper, we investigate how market-wide fluctuations in liquidity result in return volatilities and stock market return asymmetries as also to prove the notion whether liquidity per se, is the sole driver of stock market growth.Liquidity, business cycles, investor behavior, returns asymmetry

Organizational Learning Strategies of Start-up Firms; Creating the Office Of Strategic Thinking (OST)

In this short paper, we discuss some efficient strategic content management practices that would help enhance a firm’s business horizons to deliver better quality product to their end customers. Business firms who operate data mining and knowledge-based services related to market research needs to evolve sound information management practices through efficient data re-engineering, research and analysis (R&A) techniques. Companies in the business of market research needs to develop certain skills to win on empowered consumers and hence to stay ahead in debate in this age of hyper-competition. These companies in either way continuously innovate and standardize their content development strategic activities through process improvement from knowledge gain and expertise as well from knowledge manipulation in order to move up the value-chain. To this end, we propose some innovative, yet flexible strategies that shed some fresh light on the thought development process by proposing the establishment of a new Office of Strategic Thinking (OST) under an existing R&D set up for setting standards which are of highest and best in quality, while retaining the ability to innovate contemporaneously. Our study concentrates mainly on market research firms and new entrants who put in great effort to keep abreast of skills and process development methodologies in this ever-changing business environment

The Neuroeconomics of Learning and Information Processing; Applying Markov Decision Process

This paper deals with cognitive theories behind agent-based modeling of learning and information processing methodologies. Herein, I undertake a descriptive analysis of how human agents learn to select action and maximize their value function under reinforcement learning model. In doing so, I have considered the spatio-temporal environment under bounded rationality using Markov Decision process modeling to generalize patterns of agent behavior by analyzing the determinants of value functions, and of factors that modify policy- action-induced cognitive abilities. Since detecting patterns are central to the human cognitive skills, this paper aspires at uncovering the entanglements of complex contextual pattern identification by linking contexts with optimal decisions that agents undertake under hypercompetitive market pressure through learning which have however, implicative applications in a wide array of social and macroeconomic domains

Capital Resource Inequality

The goal of this paper is to discuss the basis of knowledge inequality in affecting positive growth and development of a country. Optimal and rational allocation of resources is a requisite for efficient distribution of any resources—whether natural or synthetic resources (knowledge), within a society. Knowledge now being considered a primary form of capital resource, it forms the backbone of a national economy driven by the knowledge of high-technology manufacturing and production. It is also a form of intellectual capital which requires human endeavor for its creation and acquisition. Since knowledge is imparted by education and learning, the role of education in delivering knowledge is one of the most important factors of national development and social progress. Inefficient, irrational allocation of this capital resource results in widespread social and economic inequality which could be reduced only if there exists fairness in its allocation processes. This paper attempts to highlight these issues and introduces a new form of inequality—Capital Resource Inequality (CRI) which addresses the problem of knowledge allocation across societies

Elements of Intellectuality in Decision Making

This brief research note stresses the role intellectual and cognitive elements play in critical thinking and decision-making. Critical thinking skills are highly desirable among young adults and students, employees, teachers, and creative artists. The various elements of the functional brain that contribute to critical thinking are those that define our complex cognitive system. Critical thinking, like any other intellectual process, necessitates the use of focused attention, information processing, and reasoning abilities. It is an essential skill that has important applications in decision-making and in various domains of creative endeavors. A competent critical thinker is able to take a more rational approach to decision making. This paper highlights these issues and urges individuals to make space for critical thinking, which is so much in demand in these fast-paced digital environments

Theory of Gen Inertia

This paper introduces the theory of Gen inertia. The research defines and differentiates the concept of Gen inertia from organizational knowledge inertia and identifies factors that act as impediments to effective workforce learning. Using functional model, this paper helps to model several scenarios that enables to study and analyse the causes that are responsible for inducing learning inertia in organizational settings. The research furthermore highlights the problems faced by those employees who aims for vertical mobility but faces several constraints at their workplace. Constraints or impediments create organizational barriers to learning that precludes underrepresented employees from achieving the full benefits of learning and therefore, interferes with their learning processes on which they endure. The present paper addresses these issues and advocates several solutions to identify constraints and barriers to effective learning under organizational cluster settings

On the Theoretical Foundations of Gen Inertia.

This paper addresses the foundational aspects of the theory of Gen inertia. We attempt to emphasize the cognitive factors that accounts for learning inertia in organizations, and that which prevents employees from generating and absorbing new knowledge. The novel concept of Gen inertia helps us to understand the causes behind inertia in learning among the knowledge workers under organizational settings. This concept of 'Gen inertia' is distinct from the pre-existing concept of organizational knowledge inertia. In this paper, we attempt to identify and underline the factors that act as impediments to effective organizational learning processes. It deals with the existing causes that are responsible for knowledge (learning) inertia in knowledge organizations. We model several scenarios that presumably act as constraints, and therefore, they help us to uncover the existing barriers and obstacles to effective knowledge acquisition. The model assists us to build a system aimed to aid managers and trainers to recognize the underlying causes, which supposedly interferes with employees' learning curve, both in the short run and in the long run. Finally, the research aims to identify and overcome the nature of constraints that employees face while being part of a learning organization. Because it demands proficient handling of new knowledge, and because knowledge organizations subsist on the expertise of the knowledge workers, it is much relevant for the organizations to understand the existing problems that the knowledge workers face so as to enable them to compete with others in the market for knowledge resources. The present paper addresses all these issues and advocates several solutions to identify and then overcome the constraints and barriers to effective learning under organizational cluster settings

Equilibrium Models of Macroeconomic Science: What to Look For in (DSGE) Models?

Models in macroeconomic sciences are designed with the aim of understanding and then simulating the real world economic and monetary policy making. There has been a considerable debate over how to model the real world economic phenomena, and how correctly those models allow explanations of general equilibrium; that is, whether the models with their assumed parameters are able to expound on critical aspects of monetary policy making. Some models are structured to provide naïve explanations of the monetary policy process, while others are higher order complex models that attempt to elucidate the dynamicity of economic equilibrium. Dynamic Stochastic General Equilibrium (DSGE) model is one of such a complex model which has found the flavour of the time following its rapid adoption by Central Banks around the world. But strong contentions rebate the usefulness and question its effectiveness over other standard tools of macroeconomic and monetary policymaking process. Many scholars debate that DSGE models are far from perfect, to render it efficient in public policy making, although its adoption has been one such phenomenal. This paper aims to discuss in some detail about such debates relating to the contentious issues which arose on account of the failure of DSGE models to effectively detect the recent financial crisis the subprime of 2008. Hence, the present study revolves around a formal analysis of the epistemology of econometric modeling involving complex dynamic systems in real world policy making, and discusses whether if new models like DSGE could in fact help explain general equilibrium, or if they fail, then what to look for in their failure