Solving organizational problems effectively requires an appropriate mindset--viewing problems as opportunities or challenges and looking for solutions as opposed to placing blame, as well as developing skills in problem solving--a disciplined approach to dening the problem and identifying and implementing appropriate solutions (Suzanne de Janasz 395). Individuals or groups with undisciplined approaches to problem solving typically derive solutions with no real understanding of the problem. This typically results in solutions that are temporary in nature and end up being costly to the organization. Effective employees, managers and leadership in an organization are those who follow logical, systematic approaches in their quest to solve problems and make decisions in the problem solving process. There are numerous tools that are used in the decision-making process, such as brainstorming, backwards planning, incubation, and risk analysis. This paper will focus on providing an analysis of the decision-making tool called risk analysis and apply it to the world of mobile computer manufacturers.
In order to understand the risk analysis technique, we must define the concept of risk. We must also clarify the distinction between the concepts of problem solving and decision-making, two concepts that are frequently confused with one another.
Risk can be defined as the potential future harm that may arise from some present action. Problem solving can be defined as the process of identifying and correcting a problem. A problem can be defined as the gap between "what is" and "what should be". According to Kiesow (1994), it is in this stage that we define and identify potential solutions for problems. Decision-making is the process of selecting one solution from alternative solutions that will solve a problem. Thus, decision-making is actually a part of the problem solving process.
Risk analysis is a popular decision making tool used in a multitude of diverse activities...
Strengths of each method
The strengths of the quantitative paradigm are that its methods produce quantifiable, reliable data that are usually generalizable to some larger population. Quantitative measures are often most appropriate for conducting needs assessments or for evaluations comparing outcomes with baseline data.
Qualitative research methodologies are designed to provide the researcher with the perspective of target audience members through immersion in a culture or situation and direct interaction with the people under study. Qualitative methods used in social marketing include observations, in-depth interviews and focus groups. These methods are designed to help researchers understand the meanings people assign to social phenomena and to elucidate the mental processes underlying behaviors. Hypotheses are generated during data collection and analysis, and measurement tends to be subjective. In the qualitative paradigm, the researcher becomes the instrument of data collection, and results may vary greatly depending upon who conducts the research.
Reference: www.socialmarketing.com
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