Innovation New Product Development free essay sample

You do not need any software to perform this analysis, for I have given you all the necessary information, output that I produced from conjoint analysis. Your data contains subject responses to questions below: We would like to ask how you would rate some restaurants on certain aspects. How much do you agree or disagree that the statement describes ? Would you say it describes this restaurant extremely well, very well, somewhat well, not very well, or not well at all? The attributes rated were: has some healthy menu options, has a variety of food choices, fast service, modern, and tasty. The restaurants rated were: 1. Quizno’s 2. McDonald’s 3. Burger King 4. Primanti Brothers . Subway 6. Panera Bread 7. Wendy’s Next we are going to ask about your preferences for restaurants that you might visit to obtain a brief lunch on a workday. We are going to mention two restaurants at a time, and ask you which one of those two you prefer. We will write a custom essay sample on Innovation New Product Development or any similar topic specifically for you Do Not WasteYour Time HIRE WRITER Only 13.90 / page When making your decision, you should consider all aspects of these restaurants that are important to you, not just those that we have asked you about today. Out of the next 10 brief lunches you will have at either or if these were your only two choices, how many times out of 10 would you get your lunch at ? In this exercise you will be looking at how students perceive these restaurants. The data will be used to create a ‘perceptual map’ for these seven restaurants. The restaurant perceptual map is a graphical representation of students’ perceived similarities and differences between restaurants. Perceptual maps are used to determine the number of issues (or factors) that are important to consumers. They are also used as an aid to determine the issues or factors that help define a market and the perceived market position of firms within the market. 1. Discuss how to decide how many dimensions you should consider in your analysis. Univariate