In this study we conduct a thorough assessment of the LSA text mining method and its options (preprocessing, weighting, …) to grasp similarities between patent documents and scientific publications to develop a new method to detect direct science-technology linkages - as this is instrumental...

In the literature, there is anecdotal as well as empirical evidence for the existence and the business impact of output interactions among information systems projects. While a lot of sophisticated optimization models have been suggested which already provide for the consideration of output...

This paper reviews research that uses big data and/or machine learning methods to provide insight relevant for equity valuation. Given the huge volume of research in this area, the review focuses on studies that either use or inform on accounting variables. The article concludes by providing...

Although accounting information systems (AIS) of firms are well-established, little is known about their effectiveness and the underlying sources essential to enhance the quality of accounting information system (QAIS). This research aims to identify the readily available resources that can be...