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As part of consumer behavior, the buying decision process is the decision-making process used by consumers regarding the market transactions before, during, and after the purchase of a good or service. It can be seen as a particular form of a cost–benefit analysis in the presence of multiple alternatives. [1] [2]
In business ethics, Ethical decision-making is the study of the process of making decisions that engender trust, and thus indicate responsibility, fairness and caring to an individual. To be ethical, one has to demonstrate respect, and responsibility. [ 1 ]
Types of default include simple defaults where one choice is automatically selected for all consumers, forced-choice in which a product or service is denied until the consumer makes a proactive selection, and sensory defaults in which the choice is pre-selected based upon other information that was gathered about specific consumers.
Flywheel Model: This approach emphasizes the momentum created by satisfied customers who become advocates for the brand. It highlights the importance of continuous customer satisfaction as a means to drive business growth, focusing on delivering consistent, exceptional customer experiences.
The 3Cs model points out that a business strategist should focus on three key factors for success. In the construction of a business strategy, three main elements must be taken into account: The Company; The Customers; The Competitors; Only by integrating these three can a sustained competitive advantage exist.
Decision-making as a term is a scientific process when that decision will affect a policy affecting an entity. Decision-making models are used as a method and process to fulfill the following objectives: Every team member is clear about how a decision will be made; The roles and responsibilities for the decision making
Business decision mapping (BDM) is a technique for making decisions, particularly for the kind of decisions that often need to be made in business. It involves using diagrams to help articulate and work through the decision problem , from initial recognition of the need through to communication of the decision and the thinking behind it.
Decision trees can also be seen as generative models of induction rules from empirical data. An optimal decision tree is then defined as a tree that accounts for most of the data, while minimizing the number of levels (or "questions"). [8] Several algorithms to generate such optimal trees have been devised, such as ID3/4/5, [9] CLS, ASSISTANT ...