The purpose of this study is to analyze the relationship between digital orientation and student innovation culture, the relationship between student creativity and student innovation culture and the relationship between e-learning and student innovation culture. This study uses a specific quantitative study by investigating the relationship between variables. These variables are measured using a research instrument, namely a questionnaire, so that the data obtained are in the form of numbers that can be analyzed through statistical calculations. The quantitative research method is chosen in this study because it uses data in the form of numbers that are analyzed by statistical calculations, and aims to test the established hypothesis. This study collects primary data using a survey method, namely distributing questionnaires to respondents in the form of Google Forms designed using a Likert scale of 1 to 5, which later the results of the questionnaire will be processed using the PLS-SEM application. Respondents in this study are 427 teachers who taught in elementary schools in Indonesia elementary school students, the sampling technique used is simple random sampling where each member of the population is given an equal opportunity to be selected as a sample. The results of this study are: Digital orientation has a positive effect on student innovation culture, Student creativity has a positive effect on student innovation culture and the influence of e-learning has a positive effect on student innovation culture. Digital learning is an educational innovation that can improve the quality of learning and support modern education. The benefits of e-learning include: Learning can be done anytime and anywhere, so it can reach more students, The teaching and learning process can be done more effectively and cost-effectively.

Previous studies have argued that increasing knowledge capacity in big data analytics influences increasing the speed of information processing and network analysis for making the right decisions at scale and high volume. Big data intensification supported by knowledge capacity through digital learning and a strategically supportive environment can ultimately help companies improve company performance. This study seeks to analyze the effect of big data analytics, digital learning orientation and environmental strategy on readiness for change and innovative behavior. The sampling technique employed by using simple random sampling on 185 respondents of information technology companies. By using the Structural Equation Modeling (SEM) analysis technique with the Partial Least Square approach, the empirical results show that big data analytics, digital learning orientation and environmental strategy had a significant effect on readiness for change and positively influence innovative work behavior. The analysis of mediation through the variable of readiness to change also found the role of mediation in strengthening the influence of exogenous variables on innovative work behavior. These results theoretically reveal the important role of data-driven performance management as an instrumental consequence. Practically speaking, the findings highlight the importance of employee engagement and talent acquisition professionals as a driving force in the intensification of big data analytics.