Name Juan Perez | ||
 | ||
Juan Antonio Perez Lopez (Argentina 1992)
Juan Antonio Pérez López (1934–1996) was a Spanish business theorist. He was professor of Organizational Behavior at the IESE Business School (Spain), where he became Dean (1978–1984). He was also a visiting professor at PAD Business School of the Universidad de Piura (Peru) and IAE Business School of the Austral University (Argentina). His research and publications focus on Action Theory and its implications for Organizational Behavior. They collect and integrate economic, sociological, and ethical aspects.
Contents
Juan Antonio Pérez López
Biography
After studying Actuarial Insurance at the Escuela Central Superior de Comercio of Madrid, Pérez López spent five years in Hidroeléctrica Española SA. In 1961, he began to teach at the IESE Department of Quantitative Analysis (today Department of Accounting and Control). In 1970, he received his Ph.D. (1970) in Business Administration from Harvard Business School with the thesis Organizational theory: A cybernetical approach. From there on he delved into issues like motivation, learning, rationality, etc. He died on June 2, 1996, in a car accident.
Contribution
The starting point of Pérez López’s theory is the concept of learning. "By learning we mean those changes that occur within the agents as a result of the interaction itself, provided that such changes will influence the next interaction."
From this definition, Pérez López distinguishes three types of agents, which he denominates:
- Stable agent (or stable system): the agent cannot change their decision rules. In other words, no learning takes place.
- Ultra-stable agent (or ultra-stable system): the agent can learn from the experience and, therefore, modify their decision rules. This learning is always positive and thus, with more experience, better decisions can be made.
- Freely adaptable agent (or free system): the agent can learn from the experience, but learning is not necessarily positive. Hence the agent has also the possibility of a negative learning.
Interactions
In an interaction between learning agents, Pérez López finds three types of results.
- Extrinsic Results: The interaction itself.
- Intrinsic Results: Learning (changing the decision rule) of the active agent, which occurred when performing the interaction.
- External Results: Learning of the reactive agent.
When invited to discuss any business decision that would affect other people, he would ask: What results will I get? What am I going to learn, both from an operational and structural point of view? What will the other person learn with the same dimensions? “When you go deep into the study of the action, you conclude that results are not only external but they have repercussions on the agent, increasing or decreasing the personal richness he has at the moment of putting it to practice. That is why, what is called the double result of the action goes farther away from the unilateralism of pragmatism. The internal result of the action is more important than its external consequences, as it modifies the subject´s capacity for the execution of ulterior actions. That peculiar feedback is absolutely absent in the mechanicist interpretation of action… Perez Lopez does not exactly elaborate a theory of isolated action, or of a single subject, but what I will call a theory of reciprocal action; that is, about the repercussions that the actions of one agent have in the actions of other agents”.
Motivations and motives
Pérez López assumes that agents have an impulse that is a potential motivation to achieve a higher satisfaction. This potential motivation becomes an actual motivation with a particular decision depending on two types of motivation.
To control the momentum of spontaneous motivation to implement the advice of rational motivation, we need a reality that is called virtue. The consequences of action are grouped in three types of motives.
Negative learning
"It's a learning process that facilitates the achievement of results, when that achievement in itself involves the destruction of the conditions necessary to continue catching up." The negative learning has the following basic features. It seeks to solve a partial problem, without considering the general problem, which the partial problem is part of. The solutions found to the partial problem are suboptimal from the standpoint of the general problem. Successive resolutions of the partial problem generate learning, and therefore an increased motivation to make choices suboptimal from the standpoint of the general problem. The general problem becomes more difficult to resolve. An example would be "an amateur sportsman who practices without the guidance of an expert. What is most probable is that he will develop habits that will be counterproductive for the proper practice of such sport". Not considering external results (learning of reactive agents) in the analysis of an action always produce negative learning.