Dr. C.I.S.G. (Colin) Lee
Dr. Colin Lee studies questions at the intersection of human resources, organizational behavior, IO psychology, and career studies. His research leverages recent developments in data extraction, normalization, and processing to provide insights into how people can be matched to work and to develop tools for the dissemination of academic knowledge in his fields of interest.
PhD Track Big Data in Management Research: Exploring New Avenues
Digital computers entered our homes, landed on our desktops, slipped into our pockets, and have seemingly become ubiquitous. At an ever faster pace, these devices have become highly interconnected and interoperable. Consequently, our archives, our work, our actions, and our interactions are increasingly digitalized and stored in databases or made accessible via the Internet. This data, generally characterized by high volume, variety, and velocity (i.e., accumulation rate), has come to be called “Big Data”. As of yet, Big Data has seldom been utilized in management research. Not without cause, the discussion in the management literature has barely surpassed deliberation on privacy risks. Nevertheless, there are many ways in which Big Data can contribute to management science in a responsible fashion. This dissertation explores the opportunities that Big Data brings for management scholars and describes three distinct projects that show how Big Data can be utilized in management research.
The first project demonstrates how science mapping, when applied to digital repositories of academic journals, can be used to provide a systematic review of an academic field. The second project describes an innovative and powerful platform called “ReNotate”, which uses the highlights and annotations of individuals reading academic articles to make those articles machine-readable and thus highly searchable. The final project uses data from the Applicant Tracking Systems of 48 different companies (N = 441,769 applicants) to find out what determines whether an individual gets invited to a job interview.
- Keywords
- Big Data; Knowledge Dissemination; Preselection; Personnel Selection; Bibliometrics; Science Mapping; Synthetic Validity; Relative Weight Analysis; Career Studies; Literature Search
- Time frame
- 2012 - 2016
Publications
Abstract (3)
-
Academic (3)
-
Wechtler, H., Koveshnikov, A., & Lee, C. (2019). Overqualification among Migrants: A Social Judgment Theory Perspective. Abstract from Academy of Management Annual Meeting 2019. https://doi.org/10.5465/AMBPP.2019.17523abstract
-
Lee, C., Felps, WA., & Steel, P. (2019). Predicting Hiring Decisions using Applicant Tracking System Data. Abstract from Congress of the European Association of Work and Organizational Psychology, 2019, Turin, Italy. http://www.eawop.org/ckeditor_assets/attachments/1285/eawop-2019_abstract-book_rev2_compressed-2.pdf?1583929976
-
Lee, C. (2019). The Potential of Psychometric Assessment: Simulating the Impact on GDP. Abstract from Congress of the European Association of Work and Organizational Psychology, 2019, Turin, Italy. http://www.eawop.org/ckeditor_assets/attachments/1285/eawop-2019_abstract-book_rev2_compressed-2.pdf?1583929976
-
Article (5)
-
Academic (4)
-
Wechtler, H. M., Lee, C. I. S. G., Heyden, M. L. M., Felps, WA., & Lee, T. W. (2022). The Nonlinear Relationship Between Atypical Applicant Experience and Hiring: The Red Flags Perspective. Journal of Applied Psychology, 107(5), 776-794. https://doi.org/10.1037/apl0000953
-
Lee, C., Bosco, F. A., Steel, P., & Uggerslev, KL. (2017). A metaBUS-enabled meta-analysis of career satisfaction. Career Development International, 22(5), 565-582. https://doi.org/10.1108/CDI-08-2017-0137
-
Markoulli, M., Lee, C., Byington, EK., & Felps, WA. (2016). Mapping Human Resource Management: Reviewing the field and charting future directions. Human Resource Management Review, 27(3), 367-396. https://doi.org/10.1016/j.hrmr.2016.10.001
-
Lee, C., Felps, WA., & Baruch, Y. (2014). Toward a Taxonomy of Career Studies Through Bibliometric Visualization. Journal of Vocational Behavior, 85(3), 339-351. Article 10. https://doi.org/10.1016/j.jvb.2014.08.008
-
-
Professional (1)
-
Lee, C. (2016). The potential of computer-aided applicant pre-screening. RSM Discovery - Management Knowledge, 26(2), 21-22. http://hdl.handle.net/1765/93034
-
Chapter (1)
-
Academic (1)
-
Akkermans, J., Lee, C. I. S. G., Nijs, S., Mylona, A., & Oostrom, J. K. (2021). Mapping methods in careers research: A review and future research agenda. In W. Murphy, & J. Tosti-Kharas (Eds.), Handbook of Research Methods in Careers (pp. 9-32). Edward Elgar Publishing. https://doi.org/10.4337/9781788976725.00007
-
Conference contribution (1)
-
Academic (1)
-
Touburg, G., & Lee, C. (2013). Tacit Knowledge Transfer through Global Narratives. 5th International Conference on Rhetoric and Narratives in Management Research, Barcelona. http://hdl.handle.net/1765/39581
-
Conference proceeding (10)
-
Academic (10)
-
Wechtler, H. M., Felps, W., Lee, C. I. S. G., & Lee, T. W. (2020). Selecting for Retention: The Interactive Role of Coupledom and Mobility Frequency. In Academy of Management Proceedings https://doi.org/10.5465/ambpp.2020.18719abstract
-
Oetelaar, M. V. D., Wenzel, R., & Lee, C. I. S. G. (2020). Mapping the Science on Learning as it Relates to Work: A Cross-Disciplinary Bibliometric Synthesis. In Academy of Management Proceedings https://doi.org/10.5465/ambpp.2020.22084abstract
-
Wechtler, H. M., Felps, WA., & Lee, C. I. S. (2019). The Relationship Between Applicant Experience and Hiring: Human Capital vs Red Flag Predictions. In Academy of Management Proceedings https://doi.org/10.5465/ambpp.2019.16275abstract
-
Lee, C. I. S., & Steel, P. (2019). Naturally Occurring Selection: Using Applicant Pool Data to Estimate Job Relevant Range Restriction. In Academy of Management Proceeding https://doi.org/10.5465/ambpp.2019.16220abstract
-
Lee, C. I. S., Felps, WA., & Steel, P. (2017). Who gets the Job Interview? In Academy of Management Proceedings https://doi.org/10.5465/ambpp.2017.17187abstract
-
Byington, E., Felps, WA., & Lee, C. I. S. (2016). Bridging the Topic Gap between Organizational Behavior Research and Practice. In Academy of Management Proceedings https://doi.org/10.5465/ambpp.2016.11197abstract
-
Markoulli, M., Lee, C., & Felps, WA. (2015). Mapping Human Resource Management: A Structural Analysis of the Field. In Academy of Management Proceedings (Vol. 1).
-
Byington, E., Felps, W., & Lee, C. I. S. (2015). Mapping Organizational Behavior: A Visual Guide to the Field for Students, Scholars, Instructors. In Academy of Management Proceedings https://doi.org/10.5465/ambpp.2015.15810abstract
-
Lee, C., Felps, WA., & Baruch, Y. (2014). Mapping Career Studies: A Bibliometric Analysis. In Academy of Management Proceedings https://doi.org/10.5465/AMBPP.2014.284
-
Lee, C. (2012). Research Note: Trending Topics in Career Research of 2011. In The Career Forum (newsletter) (Vol. 31, pp. 8-12)
-
Doctoral Thesis (1)
-
Internal (1)
-
Lee, C. (2016). Big Data in Management Research. Exploring New Avenues. [Doctoral Thesis, Erasmus University Rotterdam]. Erasmus University Rotterdam (EUR).
-
Additional activities (5)
-
Mapping Organizational Behavior: A Visual Guide to the Field for Students, Scholars, & Instructors
Oral presentation (Academic)
-
Mapping Careers
Oral presentation (Academic)
-
Sailing Across Boundaries: Conceptualizing and Measuring Intellectual Travel
Oral presentation (Academic)
-
Career Development International (Journal)
Editorial work (Academic)
-
Journal of Organizational Change Management (Journal)
Editorial work (Academic)
PhD Tracks (2)
- Role: Co-promotor
- PhD Candidate: Rowan Moelijker
- Time frame: 2021 -
- Role: Co-promotor
- PhD Candidate: Miheer Prafulla Agnihotri
- Time frame: 2023 -
Event (1)
Address
Office: T10-48
Burgemeester Oudlaan 50
3062 PA Rotterdam
Postbus 1738
3000 DR Rotterdam
Netherlands
Supervisory Team
