Showing posts with label organizational behavior. Show all posts
Showing posts with label organizational behavior. Show all posts

Thursday, December 13, 2018

A Model on Gender Pay Gap

Last week I have finished teaching a short course on "Introduction to Agent-Based Modelling", offered under the label Topics in Economics I, to Master and PhD students at the Department of Economics, University of Insubria in Varese.

The plan is usually that of presenting this type of advanced modelling technique through theory and by developing an agent-based model together, using the software NetLogo. This was my third time in the program in Varese. Over the first two years and, over past years, we developed a model of innovation diffusion among an ecology of firms (I will discuss that in another post). This time I asked if someone wanted to develop a different model.

After a first few uncertainties and at the very last minute, someone proposed to model gender pay gap in an organisation. I thought that was a good idea and, once we voted on it, we decided to pursue this model. The ABM took shape as we were modelling it, with inputs from the students and adjustments to the coding so that it was not too complex — this is still an introductory course, after all!

Although simple and intuitive, I believe that the model serves its purpose very well. Of course, when one is up to modelling a social phenomenon, there should be a purpose, to put it with Edmonds (Different modelling purposes, 2017). The idea was to first illustrate the pay gap in an organisation. However, that soon seemed a bit too narrow for an ABM. By proposing dynamic as a central feature, the model was shaped into a way to explore the conditions through which the gap could expand, reduce itself, or disappear. And, on top of this, one has the opportunity to estimate how long it would take for such a gap to disappear.

The Gender Pay Gap (GPG) Model is built on simple features. I have slightly modified — hopefully enhanced — the one developed in class to reach to a more realistic one. Here is a quick summary of the features:

  • number_workers — this could be set from 0 to 1000 from the slider;
  • women_proportion — the percentage of women in the organisation;
  • manag_proportion —how much management the organisation has, 10%, 20%, or 30%; teams are built around managers and some employees are also connected outside of their team;
  • hierarchy — how many layers of management are there (0, 1, or 2 levels);
  • years — for how long would the simulation run; this goes by 10 years intervals and up to 50; if the slider is set to 0 then it runs potentially forever but, if the income for women at year 100 is the same that there is at year 150, the simulation will stop (...because it makes no sense to keep going!)
  • pay_gap — you can set how large the pay gap is, both positive and negative (just to explore alternative realities), where the slider expresses percentages. So, you can go from Italy's 5% to Germany's 20% (yes, for once, Italians are ahead!);
  • mean_bias — it is the extent to which a manager discriminates against the other gender when making decisions about salary increase or promotions;
  • the three sliders at the bottom right are for visualisation purposes (try to use them... carefully).


Figure 1. A Model of the Gender Pay Gap in an Organisation

You can click on Figure 1 above or here to get to the online version of the model: [https://netlogoweb.org/web?https://raw.githubusercontent.com/dsecchi/ABMOsimulations/master/gender-balance.nlogo]

The simulation stops if the distance between men and women's salary is below or at 10% of the original gap, so that we can say there is equality, more or less (I mean, a 5% gap would be a 0.5% gap). What comes out of the model is that the gap is extremely resilient and won't go away very easily. Not even a small gap of 5% would go away easily. And this should make us reflect more on how difficult it really is to make things right.

Now it is time you try the model yourself. Let me know if you think there is something important missing. Thank you.

Thursday, February 21, 2013

A Note on Profit Maximization

What makes a simple argument a good argument? This question has been addressed several times in the history of human thought and now answers have an incredibly long tradition. Just to name one, I believe amongst the first to deal with this problem were Greek philosophers. Aristotle introduced syllogisms to unveil some of the logic behind human reasoning, and to help create sound solid arguments. Is the idea that the one and only goal of business is to maximize their profits a bullet-proof, i.e. sound, consistent, and solid concept? Do its foundations and logic still stand in the face of evidence and theoretical advancements in the management field? This post is an attempt to provide some (not definitive) thoughts on this.

The reasoning is organized as follows. First, I explore the meaning of the concept (profits and maximization), then I try to dig into management theories and see whether they match the idea of a profit-maximizing firm or not. I try to keep this short. Further support to some of the points I discuss can be found in the business literature.

1. What is 'profit'? At its very core, a profit is a positive in the difference between revenues and costs (any type of costs). Translated into common and more practical sense, this means that the higher this positive number, the better. Fine. However, given that families, governments, NGOs, universities, and all organizations and insitutions all have revenues and costs, we may well convene on the fact that they also need to have a positive outcome from that difference. Can you imagine to manage your family with permanent losses over the years? Certainly not. If this is the case, then profit must be a goal for a family too. And to some extent it is so. What I am trying to point out is that a positive balance between costs and revenues is a requirement for almost every organization to survive. Business organizations are no exception. From this perspective, an emphasis on profit (and only on it) is unjustified. A nation State collapses as well if the government does not manage to get the economy right (e.g., Greece, Italy, Spain, etc.).

2. The word 'maximization' is something that comes from the mathematical procedure of optimization, where a max or min is found for a given set of variables. There is nothing wrong with this. The problem start to arise when the procedure is applied to social phenomena. There is no sigle occurrence in the life of a company where the decision makers (e.g., management, executives, employees) know all alternatives (variables) available. Were they to know these variables, they would not be able to process them. These two elements combined describe what is called 'bounded rationality' (Simon, 1955; 1947). Human beings cannot 'optimize' or 'maximize' because of the limits of their cognition and of access to information available. We can only find satisfactory solutions to our problems. Consistently with this, business organizations can only find profit levels that satisfy their needs. No way to 'maximize'.

3. The way profit comes out of an economic statement tells it all about how many goals a company's executive should consider in ordinary business management. The reasoning behind it is that there several other goals and sub-goals in the management of an orgainzation that cannot be treated as simply instrumental. To mention two, for example take customers and employees. An easy way for a business to fail is to treat these two categories of people as means (instruments towards profits) instead of ends per se. To provide a good quality, reliable, sound, functional product or service is a goal that should be considered as a value, that of providing solutions and/or help customers with what they need (or they think they need). Similar approach can be found in how to deal with employees. A receipt for failure is to use people as things (i.e., as means towards an end) instead of taking what everyone has to offer to the company, enriching and expanding employees engagement in the common/shared enterprise. A somewhat detailed account of this is available in an article I published in Business & Society Review as a critique to those that still try to apply the idea of perfect competition as a solution for every problem that appears in the market.
In short, there are multiple goals that can be found in every business organization. The hierarchy or chain of these goals may or may not be clear even to management. But complexity, ambiguity, and uncertainty is what we deal with all the time as human beings. Pretending that there is one only goal for something as complex as a business organization is like staring at the finger when someone is pointing at the moon.

4. Along the lines of this, there is the 'stakeholders vs stockholders' debate. The concept of stakeholders – i.e., individuals and groups that affect and are affected by the company in its business operations – has been introduced in the 1960s and made popular by Freeman (1984). The idea was presented to contrast the idea that the only group the company should be accountable to were stockholders – i.e., those who own shares of the company. After several years, the stakeholder theory is widely accepted among management scholars and amongst most of the business people that operate in large companies. Why? Because it is fairly easy to see how it works in practice: business people deal every day with many different individuals and groups and they should find appropriate ways to cope with their claims. This approach has some limits but it has been particularly successful in debunking the simplistic approach to businesses that reduces everything to stockholders claims. In an article that appeared in the journal Organization Science, Freeman et al (2004) explain why the stakeholder approach has more explanatory power than the other, more traditional, stockholder approach.

5. The modern (social and cognitive) psychology of individual decision making is focuses on biases and heuristics (e.g., Kahneman, 2003). A bias is a misjudgement on a particular topic, problem, or issue that an individual is facing. Heuristics are the mechanisms that make us decide without having to fully analyze all variables of a given problem. Human reasoning leans extensively on these two mechanisms. Someone has suggested that our mind cannot work if we keep heuristics and biases out (Bardone, 2011; see also the review of the book I wrote here). If these approaches to cognition are correct, then we certainly are not capable of predicting a way that aligns all resources in an effort to maximize anything (not to talk about profits). Easy steps towards profit making can be reached via heuristics and biased judgements but, as we stated before, if that is the case, it means that they are not logical. Indeed they are coming out of logical fallacies (see chapter 4 and 5 of my book; Secchi, 2011).

6. The last point I would like to touch on this is the role of passion. As business students we never touch on this but, we have to admit, this is something that exists. And we should be thankful every day for being exposed to it.  The assumption with the goal of profit making is that we forget to distinguish between the company and the actual individual that makes decisions on an every day basis. If we admit this obvious distinction, we can find that even in the case the goal is, say, that of making profits, a company should always lean on single individuals and hope that this goal exactly matches those of individuals that make decisions on a daily basis. Now, this event does not happen very often. Actually, it never happens! Unfortunately for the theorists of profit maximization, individual motives, personal goals, professional ans self-actualization needs, life-work balances, and passions - yes, that too! - vary significantly within an organization. Even the most dedicated employees has multiple goals in his/her life and may or may not have passion for his/her work. When passion gets in the way of work, then the employee may find him- or herself motivated by that, usually forgetting about other objectives. Is this bad for the company? Well… I don't think this should be answered by me here. One thing is for sure: everybody is different and everyone has diverse approaches to work, goals, and interprets similar phenomena differently. How could theorists of profit max be sure that this goal is well received by everyone working in the company?

This is a long post; longer than expected. Anyway, I hope I have given you some food for thoughts!
(I don't have time to read this again; apologies for the many mistakes)


Saturday, December 11, 2010

The Book

The book is now available!


Short Summary
“How do people make decisions in organizations?” is the question at the core of this book. Do people act rationally? Under what conditions can information and knowledge be shared to improve decision making? Davide Secchi applies concepts and theories from cognitive science, organizational behavior, and social psychology to explore the dynamics of decision making. In particular, he integrates “bounded rationality” (people are only partly rational; they have (a) limited computational capabilities and (b) limited access to information) and “distributed cognition” (knowledge is not confined to an individual, but is distributed across the members of a group) to build upon the pioneering work of Herbert Simon (1916-2001) on rational decision making and contribute fresh insights. This book is divided into two parts. The first part (Chapters 2 to 5) explores how recent studies on biases, prospect theory, heuristics, and emotions provide the so-called “map” of bounded rationality. The second part (Chapter 6 to 9) presents the idea of extendable rationality. In this section, Secchi identifies the limitations of bounded rationality and focuses more heavily on socially-based decision processes and the role of “docility” in teaching, managing, and executing decisions in organizations. The practical implications extend broadly to issues relating to change and innovation, as organizations adapt to evolving market conditions, implementing new systems, and effectively managing limited resources. The final chapter outlines an agenda for future research to help understand the decision making characteristics and capabilities of an organization.

You can find it here: amazon.comspringer.com (individual chapters are available for e-purchase)

Extending Rationality

Welcome to the extendable rationality blog!

This blog will keep those interested in extendable rationality (ER) informed on the following: 
  • progress and improvement on the theory;
  • progress and improvement on theories, approaches, and models that are close to ER and may contribute to its development;
  • empirical validation of the ER construct and related topics;
  • comments and critics on the theory;
  • interesting news and studies that may suggest ER is working;
  • ideas that may eventually lead to scholarly work;
  • anything related to ER.

If you want to publish and/or contribute in any way (besides posting comments), please use this email: