Purpose – The purpose of this study is to explore the antecedents of high-performance work systems (HPWS). HPWS promise workplaces that are both highly productive and offer employees high levels of job satisfaction. The existing literature tends to see HPWS as outcomes of planned change...

This paper tests empirically four models of bounded rationality using data from first responses in a Cournot duopoly experiment. Specifically, the models considered are Level-k, Quantal Response Equilibrium, Noisy Introspection and Logit Cognitive Hierarchy. It is found that the Level-k model...

Guessing games are often used in the behavioral economics literature to investigate the rationality of economic agents. In this paper, the author uses a typical guessing game to examine not only the rationality of the test subjects but also the degree of their strategic uncertainty in playing...

In this manuscript, the author proposes a model that constitutes a generalization of the El Farol Bar problem. In this model, in each period, each one of the n agents decides the arrival time at a theatre with free entry in which there are k (kn) seats. Each individual wants to minimize the...

The aim of this work is to review a specific learning analytics method - sentiment analysis - in the field of Higher Education, showing how it is employed to monitor student satisfaction on different platforms, and to propose an architecture of Sentiment Analysis for Higher Education purposes,...

This paper discusses the development of a neuroeconomic model of decision-making (DM). The method used was a review of functional Magnetic Resonance Imaging of game trials on economic choice. Key centers in economic DM are Ventromedial Prefrontal Cortex, Dorsolateral Prefrontal Cortex,...

Abstract This paper explores the use of heuristic search algorithms for modeling human decision making. It is shown that this algorithm is consistent with many observed behavioral regularities, and may help explain deviations from rational choice. The main insight is that the heuristic function...

Abstract We study long run implications of reinforcement learning when two players repeatedly interact with one another over multiple rounds to play a finite action game. Within each round, the players play the game many successive times with a fixed set of aspirations used to evaluate payoff...

A utility maximizing model of allocating limited attention between adopting new behaviors and adapting current behaviors generates an optimal policy that resembles commonly observed, and apparently irrational, behavioral rules. The ability to update current behaviors implies an endogenous...

This paper studies a model of memory. The model takes into account that memory capacity is limited and imperfect. We study how agents with such memory limitations, who have very little information about their choice environment, play games. We introduce the notion of a Limited Memory Equilibrium...