@inproceedings{9b934165dfba415f91a7b7f05e343e32,
title = "A comparative sequence analysis of career paths among knowledge workers in a multinational bank",
abstract = "This study examined two metrics for measuring the distance between sequences (Euclid and OMSpell) and creating distance matrices combined with two types of clustering methods (AGNES and PAM) to analyze the career path clusters of knowledge workers. A regression tree of covariates and career path clusters was used to predict advancement rates. The results indicated that the metric which focused on subsequences (OMSpell) worked best for both clustering methods. Less time as a knowledge worker was associated with greater advancement. Implications for boundaryless careers and social capital formation are discussed.",
keywords = "career paths, clustering, knowledge worker, optimal matching, regression tree, sequence analysis",
author = "Paul Squires and Kaufman, {Harold G.} and Julian Togelius and Jaramillo, {Catalina M.}",
year = "2017",
month = jul,
day = "1",
doi = "10.1109/BigData.2017.8258354",
language = "English (US)",
series = "Proceedings - 2017 IEEE International Conference on Big Data, Big Data 2017",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "3604--3612",
editor = "Jian-Yun Nie and Zoran Obradovic and Toyotaro Suzumura and Rumi Ghosh and Raghunath Nambiar and Chonggang Wang and Hui Zang and Ricardo Baeza-Yates and Ricardo Baeza-Yates and Xiaohua Hu and Jeremy Kepner and Alfredo Cuzzocrea and Jian Tang and Masashi Toyoda",
booktitle = "Proceedings - 2017 IEEE International Conference on Big Data, Big Data 2017",
note = "5th IEEE International Conference on Big Data, Big Data 2017 ; Conference date: 11-12-2017 Through 14-12-2017",
}