This report details a business research methodology focused on identifying the predictors of ridesharing choice. The study employs a deductive approach, utilizing both primary and secondary data collection methods. Primary data is gathered through surveys using questionnaires distributed to consumers, while secondary data is sourced from articles, books, and journals. The research design incorporates a mixed-methods approach, combining qualitative and quantitative techniques. Data analysis involves content evaluation using SPSS and MS Excel software. A simple random sampling technique is employed, with a sample size of 100 consumers. Ethical considerations, including plagiarism and data manipulation, are addressed. The report also includes a survey questionnaire to gather consumer opinions on ridesharing experiences, motivation levels, and factors influencing their choices, such as employment, price, and social influence.
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