Essays on business analytics, digital transformation, and improved literature searches

Abstract

This cumulative dissertation describes research on digital transformation, business analytics, and research methods in information systems research. Within the research methods section, a method for the assessment of research projects is discussed and an article is presented, which examines literature search methods. The article should improve the current practice of literature search in information systems research by presenting seven literature search recommendations. In the second part, participatory design in digital transformation is addressed, privacy concerns in bring your own device initiatives are examined, different aspects of chatbots are analyzed, and a taxonomy for predictive maintenance business models is developed. Part three covers different facets of self-service business intelligence, a hybrid machine learning approach and a process model for data science projects, as well as operations research models in industry 4.0. In addition, a research agenda is presented, in which examples for further research opportunities of the respective parts of the dissertation are presented.