Thursday, November 21, 2019
Business Decision Making Essay Example | Topics and Well Written Essays - 3000 words - 4
Business Decision Making - Essay Example The management focuses on the application of various research methods. Research companies shall interview tablet users in the South East market. The researcher will also use both structured and unstructured interviews to obtain information on the product. Interviews will provide both qualitative and quantitative methods. The researcher should minimize chances of nonrespondence by approaching the subjects appropriately. Flexibility will be integrated in the interview process in order to maximize information obtained (McKee, 2014, 1). Similarly, researchers will use questionnaires. Mailed questionnaires will be randomly sent to tablet users on a random basis. The researcher should consider the cost of sending feedback from the respondents (Elvis, 2010, 56). Prepaid stamps should be used to cushion the respondents on the mailing costs. Moreover, the researcher may obtain primary data on the market trends. A market analysis will provide quantitative and qualitative data. Researchers can request electronicsââ¬â¢ suppliers to furnish them with sales records on tablets. Alternatively, researchers can use secondary data from electronic databases. Sales records will provide detailed information on consumer demand of tablets. Data on consumer preferences will be obtained. The company encourages researchers to apply any other research methods provided they avail adequate data. The objective of the proposed research is to obtain as much data from customers as possible. Particularly, qualitative data providing information on consumer taste and preference is of great importance. The researcher should obtain data on the prevailing market price of the various tablets available in the market. The information obtained will enable the management come up with a price that will maximize revenue for the company. Consumer demand pattern should also be obtained as it will help the company predict expected demand with a high degree of
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