Individuals with autism increasingly enroll in universities, but little is known about predictors for their success. This study developed predictive models for the academic success of autistic bachelor students (N=101) in comparison to students with other health conditions (N=2465) and students with …

Big data analysis can change the global tourism and hospitality industry, providing deeper knowledge and greater insights and increased relationships regarding e-travelers. The purpose of this study is to present a mapping literature review and a research articles' classification regarding big data and …

Marketing Analytics provides guidelines in the application of statistics using IBM SPSS Statistics Software (SPSS) for students and professionals using quantitative methods in marketing and consumer behavior. With simple language and a practical, screenshot-led approach, the book presents 11 multivariate …

The profiles from data-driven profiling applications are a model of the reality. The interpretability of these profiles for end users, e.g. policymakers, is often far from trivial. How and why these models are obtained by the applications are often regarded as a black box. In recent years several profiling …

The increasing interest and discussion on the topic of AI as well as the Netherlands’ high degree of digitalization incited research on the topic. The goal of this study is to evaluate the current applications and use of AI as well as identifying predictive factors in its lower-than-expected adoption. To …

The following research justification report explains to what extent the current tracking of performance of the IHS digital communication channels is effective for the decision-making process. Having a clear monitoring strategy is a crucial component for the success of any marketing campaign. The research …

Educational institutions in higher education encounter different thresholds when scaling up to institution-wide learning analytics. This doctoral research focuses on designing a model of capabilities that institutions need to develop in order to remove these barriers and thus maximise the benefits of …

During the past two decades the implementation and adoption of information technology has rapidly increased. As a consequence the way businesses operate has changed dramatically. For example, the amount of data has grown exponentially. Companies are looking for ways to use this data to add value to their …

The current set of research methods on ictresearchmethods.nl contains only one research method that refers to machine learning: the “Data analytics” method in the “Lab” strategy. This does not reflect the way of working in ML projects, where Data Analytics is not a method to answer one question but the …

Despite the promises of learning analytics and the existence of several learning analytics implementation frameworks, the large-scale adoption of learning analytics within higher educational institutions remains low. Extant frameworks either focus on a specific element of learning analytics implementation, for …