Diagnosis and data gathering based on a case study Peppercorn Dining

Diagnosis and data gathering based on a Peppercorn Dining - Case Study Example The study used both qualitative and quantitative approaches. This was appropriate variable in collecting and summarizing data that was used in analyzing about to analyze the organizational development and change of Peppercorn Dining and some mitigation measures necessary. As a result, the qualitative and quantitative research methods ensured reliability and credibility of the results. The design is also suitable because it gives an in-depth description of the phenomena in their existing setting. This fits well with the hotel staff who participated in the study while in their respective duties. Descriptive survey was also preferred because it is economical in collecting data from over a large sample with high data turn over. Data collection process Mark Tap consultants were assigned the duty of collecting the data in order to improve on how Peppercorn Dinning operates concerning their development and change. In their quest to obtain the needed data, the consultants will issue question naires to staff members and managers. Sample Selection The selection will be based on randomization principle, which is a procedure of giving every subject in a population an equal chance of appearing in the selection. Stratified random sampling will be used to select the sample population. After which, simple random sampling will be used to get the required the desired sample. Data analysis Data Analysis procedure The data collected was analyzed using both descriptive and inferential statistics. Open coding was used to initially name and categorize the data, and selective coding was used to develop a more general framework. The study used frequency count, mean, standard deviation, minimum and maximum values of variables. The hypotheses formulated for the study tested using logistic regression. Quantitative data analysis was done to generate frequencies percentages and means. The resulting quantitative data will then be interpreted using simple statistical method. The questionnaires were analyzed using Statistical Package for Social Sciences (SPSS) version 21. The data collected through questionnaire was classified on the basis of common attributes then tallied to obtain statistical frequencies, tabulated and finally analyzed using descriptive statistics. This helped to collapse large volume of quantitative data in numerical form for ease of statistical interpretation. Besides this, the ANOVA test was applied to find the significance difference among the opinions of different categories of the respondents. The qualitative data obtained through open-ended questions and interview protocols was analyzed by placing the responses into identical categories as described in NVivo software used for analyzing qualitative research data. Besides frequencies, the opinions of the respondents will be calculated into percentage. Interviews and observation Peppercorn Dinning has not embraced professionalism, in that anyone is assign to do a given chore on the basis of who come s first. It is disappointing to note that those who merit to be in finance, marketing and technological sections are thrown away to manual work such as cooking and cleaning. This was triggered by the fact that the students were allowed to seek for employment in Peppercorn Dinning with their academic qualifications notwithstanding. The academic qualification of the organization had not attained the proper skills the hire