Lecture 7: Environment, technology Flashcards
Environmental uncertainty
Environmental complexity (simple – complex) Environmental dynamism (stable – dynamic)
PESTLE analysis
Strengths
The focus is on the big picture
Convenient framework to plan for future opportunities and threats
Weaknesses
It may identify non significant factors
Some events are difficult to anticipate
May be time consuming and expensive Slow response
Analyze the environment: Scenario planning
How to judge if a behavior is ethical?
There is no consensus on what is ethical
Framework by Cavanagh et al. (1981)
Utilitarianism („the greatest good for the greatest number“)
Individual rights (Have individual rights been violated?)
Natural justice (Consistent application of rules)
The ethical decision tree
Corporate social responsibility
Main reasons for CSR popularity:
Self defence
Increased affluence
Impression management
Technology development
First industrial revolution (steam engine)
Second industrial revolution (electricity)
Third industrial revolution (computing)
Fourth industrial revolution (robotics and artificial intelligence)
First machine age (began with steam engine)
Second machine age (computerization)
Robots
Desired to perform 4D tasks (Dirty, Dangerous, Dear (expensive), Dull
Cobots (collaborative robots)
- Operate in conjunction with employees
* Robot-human teams are 85% more productive than either of them working alone (Hollinger, 2016)
Artificial intelligence (AI)
Task is done by computer software which would otherwise require human
intelligence.
Machine learning
Allows software applications to become more accurate at predicting outcomes without being explicitly programmed to do so. Machine learning algorithms use historical data as input to predict new output values.
Deep learning
Designed to simulate our brain functions
Types of AI
Narrwo AI
General AI
Super AI
Narrow AI
General AI