@inproceedings{a80b2294e2084be4b3ae5d0617170196,
title = "A GENERAL METHODOLOGY ENABLING DATA ANALYSIS OF CORPORATION CAREERS",
abstract = "This paper introduces a systematic methodology that facilitates the data analysis of corporate careers. We establish a workflow that begins with the collection and storage of CVs in JSON format within our CV store. Utilising database and machine learning techniques, we then organise this information within a relational database and a graph database. This system enables us to perform comprehensive analyses, such as sequence analysis, to explore the career trajectories of managers to deepen our understanding of business elites and their career progression. Our approach is designed to serve as a replicable model for future researchers.",
keywords = "Corporate Career Analysis, Graph Database, Relational Database, Sequence Analysis, Top Managers",
author = "Yinglei Han and Dario Colazzo and Dudouet, \{Fran{\c c}ois Xavier\}",
note = "Publisher Copyright: {\textcopyright} 2025 Proceedings of the International Conferences IADIS Information Systems 2025 and e-Society 2025. All rights reserved.; 18th International Conferences IADIS Information Systems 2025 and 23rd International Conference on e-Society 2025 ; Conference date: 01-03-2025 Through 03-03-2025",
year = "2025",
month = jan,
day = "1",
language = "English",
series = "Proceedings of the International Conferences IADIS Information Systems 2025 and e-Society 2025",
publisher = "IADIS",
pages = "61--68",
editor = "Nunes, \{Miguel Baptista\} and Pedro Isaias and Philip Powell and Piet Kommers and Luis Rodrigues",
booktitle = "Proceedings of the International Conferences IADIS Information Systems 2025 and e-Society 2025",
}