Several companies have been using cashless methods of payment for a long time. One method of cashless payment that most firms have tested and used in their daily business routines in the speed pass system, which contains an RFID technology designed by Freepay. McDonald's restaurant in Chicagoland wants to introduce the use of cashless payment within its premises. Speedpass method requires customers to wave Speedpass devices at a reader located inside the restaurant at the checkout counter or the drive-through. The restaurant owners should aim to investigate the effectiveness of using devices and customer satisfaction. Thus, there should be two hypotheses to the study; one hypothesis should test the effectiveness of using the Speedpass system while the other should test client satisfaction.
The restaurant can choose about 50 regular clients; inform them that they want to conduct a study on the effectiveness of using a cashless method called Speedpass system in relation to client satisfaction. They should request the chosen clients to participate in the study, obtain signed consent from the participants, and assure them of anonymity and privacy protection during the study (Creswell, 2014). They can also conduct the study over one week, during which they examine how frequently the clients used the Speedpass method, record the device's effectiveness, and access customer satisfaction when using the device.
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Once the participants agree to participate in the study, the researcher will use exploratory data analysis to collect the data. They need to collect visual data that will present information in numerical form. Thus, exploratory data analysis is superior in this study because it provides the flexibility to attend to patterns observed during the preliminary or initial data analysis (Shnider & Cooper, 2014). The exploration method also offers the chance to make suggestions for the data analysis. While using the exploratory design, the study managers will decide to use a frequency table, or they can choose to use a table to record the data (Letts, Brown, & Alvord, 2004). Using the table is important because the results presented in the table can then be turned into a pie chart or bar graph. It will also be easy to use the tabulated results to draw a scatter graph for evaluating the relationship between using Speedpass device and client satisfaction. For example, this study could have a table like the one below
| Participant Number | No of days | Total Items bought | Effectiveness of device | Level of satisfaction |
| 1 | 5 | 15 | Very effective | Satisfied |
| 2 | 7 | 28 | Very effective | Satisfied |
| 3 | 4 | 18 | Effective | Satisfied |
| 4 | 3 | 12 | Okay | Satisfied |
Once the data is collected and recorded on a table, the researcher will devise to use a frequency table or a bar chart to represent the data for easy visualization and interpretation. The research manager will also need to examine the relationship between the Speedpass device's effectiveness and client satisfaction. One technique to help do this is by using scatter plots, which make it possible for the research to examine the relationships between two variables. Scatter plots will provide a negative or positive correlation between the effectiveness of device and clients satisfactions (Shnider & Cooper, 2014). A straight line characterizes the linear relationship between the variable while parabolic, compound curve, and curvilinear represent nonlinear relationships.
Point clusters that converge to an imaginary line passing through the data show a more substantial relationship of ± 90 (Shnider & Cooper, 2014). Diffuse data clouds depict weak relationships with points moving away from the line with ±40 relationship strength. Using this knowledge, the researcher can decide whether the Speedpass device can be effectively introduced in the payment system. They can also evaluate its effects on client satisfaction and future impacts on the business.
References
Creswell, J. W. (2014). Research design: Qualitative, quantitative, and mixed research methods. Los Angeles: SAGE.
Letts, C. W., Brown, L. D., & Alvord, S. (2004). Social Entrepreneurship and Societal Transformation: An Exploratory Study. The Journal of Applied Behavioural Science , 21-38.
Shnider, P. S., & Cooper, D. R. (2014). Business research methods. 12th Ed.
