Purpose: The purpose of this study was to determine purchasing decisions on the GoFood application as measured by two aspects, namely product photos and customer ratings. This research can help food and beverage sellers, especially restaurants, as GoFood partners, display attractive product photos to influence consumers' purchasing decisions. Research methodology: This research is quantitative research with a survey method through an online questionnaire. The sampling technique used was purposive sampling, where the respondents were consumers who had bought food and beverages on the GoFood application, as many as 101 respondents. The analysis technique in this study is an analysis of the characteristics of the respondents; validity and reliability test; classical assumption test; correlation coefficient test (r); coefficient of determination test (R2); F test; and t test. Results: The results of the study simultaneously show that the product photo (X1) and customer rating (X2) variables simultaneously affect purchasing decisions through the GoFood application. The product photo (X1) and customer rating (X2) variables on purchasing decisions indicate that the better the product photos displayed, the greater the purchasing decisions made by consumers on the GoFood application. Limitations: Researchers only focus on the GoFood application, while there are still many other food and beverage service provider applications and the number of respondents is still very low to describe the actual situation. Contribution: enriching knowledge in the field of digital marketing, specifically about the effect of product photos and customer ratings on purchasing decisions. Keywords: 1. Product Photos 2. Customer Ratings 3. Purchase Decisions
National Energy Policy (KEN) and the Paris Agreement are a step in the energy transition in Indonesia towards the use of new and renewable energy. The government is committed to reducing greenhouse gas (GHG) emissions using new and renewable energy. Therefore, research related to the performance of mining sector companies is interesting because the performance of mining companies is one of the keys to the success of the government in implementing KEN. The method used in this research is descriptive quantitative through the application of panel data regression models to be able to analyze the characteristics of company CEOs in the mining sector. The result of the research is that the panel data model can provide an overview which is then analyzed for the relationship between CEO characteristics and company performance in the Indonesian mining sector. This study found that CEO's work experience and CEO's Strength and CEO's level of education did not significantly influence the performance of mining sector companies in Indonesia.
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