Research and Decision Making

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Research and Decision Making The ability to craft devices to acquire data and to be able to understand, organize and extract useful information from that data, is critical in today’s business world. Companies must be able to ask the right questions, in the right way, to get the most relevant information to their situations. Knowing the limitations of research is an integral part of understanding acquired information and making sound decisions based upon it. In the Managing Research Design Simulation, Coffee Time must do just that; acquired data, analyze it for information and determine the validity and limitations of that information to make important business judgments. Coffee Time is a chain of coffee bars that is very popular in the United States and Europe and now is looking into getting in the South Asia Market (Managing Research Design Simulation, 2002). In order for Coffee Time to determine if South Asia is going to be a good market to release their product, Coffee Time has to analyze different data that will help identify the various locations in India that sell coffee and other types of research needed to identify the need of coffee in this region. Conducting and analyzing this research data will help Coffee Time to see how valid and reliable this data is to make a better and final decision to invest in this region. After running the Managing Research Design simulation, it was determined to analyze these different cities within India: Ahmedabad, Mumbai, Delhi, Bangalore, Chennai, and Pune, out of the 12 cities provided to analyze. Analyzing these cities will give a better idea of the type of modern cultural outlook that population has compared to other cities. From this data, Coffee Time will be also able to analyze the demographics of the area, leisure and lifestyle of the population, how infrastructure will affect the business, and finally what kind of competition Coffee Time will be facing if they decide to establish business in India. As the simulation mentions: “Among the secondary data, the monthly income of people, the number of malls in the city, the average number of visitors in the mall, the number of sq. km, and the number of coffee chains are key indicators of market potential for Coffee Time’s products” (Managing Research Design Simulation, 2002).

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