The importance of text mining is increasing in services management as the access to big
data is increasing across digital platforms enabling such services. This study adopts a …

Recent advances in text mining have provided new methods for capitalizing on the
voluminous natural language text data created by organizations, their employees, and their …

Increasingly, management researchers are using topic modeling, a new method borrowed
from computer science, to reveal phenomenon-based constructs and grounded conceptual …

Unstructured data in the form of digitized text is rapidly increasing in volume, accessibility,
and relevance for research on innovation and beyond. While traditional attempts to analyze …

Purpose Virtually all contemporary scientific papers studying careers emphasize its
changing nature. Indeed, careers have been changing during recent decades, for example …

Despite the ubiquity of textual data, so far few researchers have applied text mining to
answer organizational research questions. Text mining, which essentially entails a …

Artificial intelligence (AI) systems and applications based on them are fast pervading the
various functions of an organization. While AI systems enhance organizational performance …

In recent decades, the amount of text available for organizational science research has
grown tremendously. Despite the availability of text and advances in text analysis methods …

Text preprocessing is a vital stage in text classification (TC) particularly and text mining
generally. Text preprocessing tools is to reduce multiple forms of the word to one form. In …

We still know little about the role of higher education in the digital transformation. If on one
side the labor market is constantly evolving and is asking for an up-skilling process of the …