Reuse by-product collaboration and digital solution to enhance environmental sustainability at culinary MSMEs
Description
Reuse by-product collaboration and digital solution to enhance environmental sustainability at culinary MSMEs The research objects focus on the following construct: 1. Digital solution 2. Environmental sustainability 3. Reuse by-product collaboration This study adopts a quantitative research design to assess the impact of by-product collaboration and digital solutions on environmental sustainability among culinary micro, small, and medium enterprises (MSMEs). A quantitative survey approach allows for the systematic collection of numerical data, facilitating the analysis of relationships between variables in a measurable manner. The target population for this research comprises culinary MSMEs located in major cities across Sumatera, Java, and Bali, Indonesia. With a total population of approximately 9,726,481 culinary MSMEs in these regions, purposive sampling was employed to select participants who are most likely to provide relevant insights. The minimum sample size for the study was determined to be 384 respondents who used digital application in their transactions, ensuring sufficient statistical power to draw meaningful conclusions. Data collection was conducted through structured surveys administered via Google Forms. The questionnaires were designed to capture pertinent information regarding by-product collaboration, the implementation of digital solutions, and their perceived impact on environmental sustainability. This method allows for efficient data gathering and facilitates easy analysis of responses. The collected data were subjected to descriptive analysis to summarize the characteristics of the sample. Furthermore, advanced regression analysis was performed using Partial Least Squares Structural Equation Modeling (PLS-SEM) to examine the relationships between the variables and assess the impact of by-product collaboration and digital solutions on environmental sustainability through measurement and structural models.