Computerized decision making has taken off in recent years. Some have blamed the worldwide financial crisis on excessive reliance on these computerized decision making models.

Case Study:

Computerized decision making has taken off in recent years. Some have blamed the worldwide financial crisis on excessive reliance on these computerized decision making models. Lending officers who previously made individualized decisions about credit worthiness through personal judgment were replaced by computerized statistical models, resulting in mechanistic decision making. Large numbers of decisions were tied to a common set of assumptions, and when those assumptions proved to be wrong, the entire credit system fell apart and the economy faltered.

Use of computerized systems like Twitter and apps for information sharing may be leading to information overload. Eric Kessler from Pace University’s Lubin School of Business notes, “What starts driving decisions is the urgent rather than the important.” Researchers are finding that people who use too much information actually make worse decisions than people with less information, or they get so swamped in information that they are unable to reach a decision at all.

Computer decision models present certain advantages. Computers can amass and compile enormous amounts of data to spot patterns a human observer would never see. Computers are not prone to emotional decision making or the heuristics and biases we discussed in this chapter. Finally, computerized decision making systems are generally faster than human beings.

Computer decision making systems have certain faults that might severely constrain their usefulness; however, they are not capable of intuition or creative thought. As scholar Amar Bhidé notes, “An innovator cannot simply rely on historical patterns in placing bets on future opportunities.” People are much more likely to spot opportunities that lie just beyond what the data can tell us directly. Also, groups of people working in collaboration can discuss and question assumptions and conclusions.

Computers cannot consider whether their programming makes sense or adapt automatically when values change. There are computerized aids for almost any decision to be made; each of the tools from simple lists to complex statistical models needs to be considered in light of the application. Managers who use computerized decision making need to take great care in determining exactly what type of output will truly meet their informational needs so they—not their machines—can make the best organizational decisions.

Questions:

1. When it comes to computerized decision making, are there any advantages?  Do we really need computerized support for better decisions?  Is it possible that computers are better decision makers than we are?
2. Are there any weaknesses of using computers as decision tools? Are computers likely to have any specific problems in making decisions that people wouldn’t have?
3. Are there advantages to completely disconnecting from the wired world when possible? What can you do to try to retain your ability to focus and process information deeply?

It is not sufficient to state your opinions alone; you must be able to backup your responses by applying concepts from the text with the case data that supports your findings. Expected response length is 3 sentences per question. Please restate the question you are answering in your case study.

Through writing this case study you will be required to demonstrate a knowledge of how to integrate OB concepts with the case data, how to conduct research, and how to properly cite sources using APA formatting guidelines.  You will be responsible for using a minimum of 2 scholarly/peer reviewed sources. Textbooks are not considered a scholarly/peer reviewed source; however, they may still be included as a supplemental reference.