Essays on Survey of Customer Service Quality and Satisfaction Level Assignment

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The paper "Survey of Customer Service Quality and Satisfaction Level" is a perfect example of a marketing assignment. The most likely research approach to be chosen for this research is a combination of personal interview and telephone survey. The appropriate sample size for this research is between 225-500 respondents which would be a good representative of the population. The phone numbers of the sample population will be obtained from the city census. An appropriate timeline for this research is between 4-6 weeks with half a dozen researchers working together to obtain the research data. These survey approaches are chosen for three main reasons.

First, it is highly likely that research is market research commissioned by a big company who wants to do business in the suburban community so research cost is not a serious issue. This means that any effective approach to comprehensive data gathering would be very useful and must be employed in order to achieve the research data for analysis (Bordens & Abbot, 2005). The second reason why these two research providers will be chosen is the characteristics of the data that will be obtained in the research.

The research requires both objective and subjective types of data. Subjective data pertains to the things that the residents like and do not like about in the new suburban community while the objective data are the reasons for their selection of the new suburb. The last reason why these two research providers were chosen for this research is that the geographic distribution of the participants would allow relatively easy implementation of the research approach. The number of sample participant in a very large population could be daunting but the research providers have the advantage of monetary By choosing the research providers that will provide personal interviews and telephone surveys, the commissioner can be assured that he will get everything about the research population’ s reasons why they happened to select that area to live.

And what they like and do not like about living in the new suburb. 2. A survey of 43 wholesale grocery companies, scattered across three states of Australia, on their inventory management systems. You have had no prior contact with the companies. - This type of survey needs to be able to establish trust between the parties involved without getting too expensive.

The effort that will be put in this survey will need the expertise of the research provider offering a telephone survey. As was stated, the sample population is 43. The contact numbers of these grocery stores will be obtained using the Yellow Pages. From this, the number of the contact person will be obtained. The research will most likely consume about 2-4 weeks including the initial contact, depending on the availability of the key contact persons.

A maximum number of 3 researchers should be able to complete the research. There are two main reasons why a telephone survey is more appropriate for this research compared to a personal interview, mailed survey and online questionnaires. First, the geographic distribution of the participants is too wide for a simple personal interview. While coming up to all of the target participants of the survey is not utterly impossible, there are some important considerations that must be taken into account, like the budget of the research and the time frame of the research (Sapsford & Jupp, 2006).

Moreover, the type of research data required for this research is quantitative and can be obtained even without face-to-face communication. Going to each and every one of the 43 grocery companies scattered across three states just to ask something that can be done over the phone is an expensive undertaking and outright dumb.

References

Bordens, K. & Abbott, B. (2005). Research and design methods : a process approach. McGraw Hill.

Laurel, B. (ed) (2003). Designing Research: Methods and Perspectives. MIT

McBurney, D. & White, T. (2007). Research methods. 7th ed. Wadsworth Publishing

Sapsford, R. & Jupp, V. (2006). Data collection and analysis. Sage.

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