How would you use qualitative or quantitative data to help


Discussion Post: Making Decisions and Overcoming Bias Using Research.

Imagine you have taken on the manager role at an engineering company. You have been approached by a supplier of goods-one you have not worked with before. The supplier shows you the new software package it is launching in a few months and attracts your interest. The new technology demo shows you how it could help your team design and develop projects faster. It also includes many add-ons for items your company is not currently working on but that your intuition says should be.

The supplier's study says that 90 percent of your industry will be transitioning to this new technology in a couple of years and that if your company does not move forward, you will fall behind. You are eager to grow revenue, develop your team, and wow your clients. The supplier says it is not making the new technology available to your competitors because it would prefer to partner with a prestigious company like yours. You think the supplier's representative is knowledgeable about the new technology and your industry, and you enjoy your conversations, but you still feel uneasy about deciding whether to partner with this new supplier.

1) What research steps need to take place before you can make a decision?

2) How would you use qualitative or quantitative data to help you make a decision? Explain the difference between these two methods.

3) How would you use primary and secondary sources to support your decision? Explain the difference between these two source types.

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Operation Management: How would you use qualitative or quantitative data to help
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