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Human Resources Management and Information Systems Trend Analysis Using Text Clustering

Author

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  • Babak Sohrabi

    (Department of Information Technology Management,School of Management, University of Tehran, Tehran, Iran)

  • Iman Raeesi Vanani

    (Allameh Tabataba'i University, Tehran, Iran)

  • Ehsan Abedin

    (University of Tehran, Tehran, Iran)

Abstract

Human resources management has seen a significant change by the emergence of information systems from a traditional or popularly called personnel management to the modern one. The purpose of this article is to study the trends of information systems in the field of human resources management in combination with information systems through text mining approaches on a broad exploration of internationally published papers. Among text analytics methods for extracting trends, text clustering has been applied to the dataset of highly-ranked information systems journals. The data set was obtained from Scopus database for the period of 2013 to 2017. Afterwards, text clustering algorithms were applied and validated on the titles, abstracts and keywords. The results present practical and intuitive information which can help practitioners and scholars to grasp a useful overview and provides them with the opportunity to focus on trends in information systems in the field human resources management.

Suggested Citation

  • Babak Sohrabi & Iman Raeesi Vanani & Ehsan Abedin, 2018. "Human Resources Management and Information Systems Trend Analysis Using Text Clustering," International Journal of Human Capital and Information Technology Professionals (IJHCITP), IGI Global, vol. 9(3), pages 1-24, July.
    • Handle: RePEc:igg:jhcitp:v:9:y:2018:i:3:p:1-24
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    Cited by:

    1. Farzadnia, Siavash & Raeesi Vanani, Iman, 2022. "Identification of opinion trends using sentiment analysis of airlines passengers' reviews," Journal of Air Transport Management, Elsevier, vol. 103(C).

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