Dataset on the Influence of Green Marketing Factors on Purchasing Decisions Mediated by Perceived Value in Coffee Shops in Central Java
Description
This dataset contains data collected for a study on the influence of green marketing factors (green brand image, green product price, and environmental awareness) on purchasing decisions, mediated by perceived value, in coffee shops in Central Java, Indonesia. The data was gathered through a structured questionnaire and includes the following components: Data for Analysis: Raw and processed data used for statistical analysis. Translated Questionnaire: The questionnaire used for data collection, translated into English. Figures: Visual representations of the data and key findings. Excel Analysis File: Detailed analysis and results in an Excel format, including statistical tests and outputs.
Files
Steps to reproduce
Steps to Reproduce: Questionnaire Design: Develop a structured questionnaire based on well-established questionnaires from previous research studies. Use a 5-point Likert scale (1 = Strongly Disagree, 5 = Strongly Agree) for all items to measure the following variables: Green Brand Image Green Product Price Environmental Awareness Perceived Value Purchasing Decision Google Form Creation: Create the questionnaire using Google Forms. Ensure all questions are clear and concise, with response options ranging from "Strongly Disagree" to "Strongly Agree." Include demographic questions to gather information about the respondents (e.g., age, gender, frequency of visits to coffee shops). Data Collection: Distribute the Google Form link to the target population, which consists of customers of various coffee shops in Central Java. Collect responses over a specified period, ensuring a sufficient sample size for statistical analysis. Data Processing: Export the collected data from Google Forms into a spreadsheet (e.g., Excel). Clean the data by checking for any missing or inconsistent responses. Code the Likert scale responses numerically (e.g., 1 = Strongly Disagree, 2 = Disagree, 3 = Neutral, 4 = Agree, 5 = Strongly Agree). Data Analysis: Use statistical software (SmartPLS 3.0) to analyze the data. Conduct descriptive statistics to summarize the demographic characteristics of the sample. Perform reliability tests (e.g., Cronbach's alpha) to ensure the internal consistency of the questionnaire items. Use regression analysis or Structural Equation Modeling (SEM) to examine the relationships between green marketing factors, perceived value, and purchasing decisions. Visualization: Create visual representations (e.g., charts, graphs) from SmartPLS 3.0 Include these figures in the dataset to illustrate the results clearly. By following these steps, researchers can replicate the study to verify the findings or apply the methodology to similar research in different contexts.
Institutions
- Universitas Sebelas Maret