Final answer:
Rational decision making involves several steps from problem identification to reviewing the decision. Big data is the extensive volume of information used to reveal insights. There are four decision making styles: analytical, conceptual, directive, and behavioral, each with different approaches and roadblocks such as biases and information issues.
Step-by-step explanation:
Steps in Rational Decision Making
The steps in rational decision making typically include identifying the problem, gathering relevant information, identifying alternatives, weighing evidence, choosing among alternatives, taking action, and reviewing the decision and its consequences.
Big data refers to the large volumes of data generated from various sources, which are analyzed computationally to reveal patterns, trends, and associations, especially relating to human behavior and interactions.
Four general decision making styles are analytical, conceptual, directive, and behavioral. Each style has its strengths and weaknesses and differs in approach, from logical and data-driven strategies to intuitive and people-oriented ones.
Common roadblocks to effective problem solving and decision making include cognitive biases, lack of information, information overload, emotional attachments, and misunderstanding the problem.