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Uncovering the Necessary Hard- and Soft-Skills to Get IT Personnel Jobs: A Text Mining Approach

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Published:17 January 2023Publication History

ABSTRACT

With digitalization disrupting organizations every day, the necessary skills to get a job in modern societies are changing rapidly. Individuals and educational institutions seek knowledge of what industry demands in terms of hard- and soft-skills to plan their next step in having these skills in their personal or educational portfolio. To find out which hard- and soft-skills play a key role in finding IT personnel jobs, we employ a text mining approach on job advertisement data and generate a framework for IT personnel jobs. After doing some standard preprocessing steps, we use topic modeling to generate our results and map those with the IT personnel framework. Our results show that three competencies' fields are relevant for IT personnel jobs, and hard-and soft-skills play both a major role in those. Depending on which competencies field one wants to explore, we highlighted the most necessary skills that may play a decisive role when applying for a job in that position. Our findings contribute to the stream of literature equipping both educational institutions and individuals with recommendations of the skills to include and focus on regarding IT personnel.

References

  1. Aken, A. et al. 2010. Mining for Computing Jobs. IEEE Software. 27, 1 (Jan. 2010), 78--85. Google ScholarGoogle ScholarDigital LibraryDigital Library
  2. Almgerbi, M. et al. 2021. A systematic review of data analytics job requirements and online-courses. Journal of Computer Information Systems. (2021). Google ScholarGoogle ScholarCross RefCross Ref
  3. Athey, S. and Plotnicki, J. 1998. The evaluation of job opportunities for IT professionals. Journal of Computer Information Systems. 38, 3 (1998), 71--88.Google ScholarGoogle Scholar
  4. Benbasat, I. et al. 1980. Impact of Organizational Maturity on Information System Skill Needs. MIS Quarterly. 4, 1 (Mar. 1980), 21. Google ScholarGoogle ScholarDigital LibraryDigital Library
  5. Binici, K. 2021. What are the information technology skills needed in information institutions? The case of "code4lib" job listings. Journal of Academic Librarianship. 47, 3 (2021). Google ScholarGoogle ScholarCross RefCross Ref
  6. Bird, S. et al. 2009. Natural Language Processing with Python.Google ScholarGoogle ScholarDigital LibraryDigital Library
  7. Blei, D.M. et al. 2003. Latent Dirichlet allocation. Journal of Machine Learning Research. 3, 4-5 (2003), 993--1022. Google ScholarGoogle ScholarCross RefCross Ref
  8. Boyd-Graber, J. et al. 2014. Care and feeding of topic models: Problems, diagnostics, and improvements. Handbook of Mixed Membership Models and Their Applications. 225--254.Google ScholarGoogle Scholar
  9. Bradbury, D. 2011. Data mining with LinkedIn. Computer Fraud and Security. 2011, 10 (2011), 5--8. Google ScholarGoogle ScholarCross RefCross Ref
  10. Calanca, F. et al. 2019. Responsible team players wanted: an analysis of soft skill requirements in job advertisements. EPJ Data Science. 8, 1 (2019). Google ScholarGoogle ScholarCross RefCross Ref
  11. Cheney, P.H. et al. 1989. Information systems professionals: skills for th 1990s. Proceedings of the twenty-second annual hawaii international conference on system sciences. Volume IV: Emerging technologies and applications track (1989), 331--332.Google ScholarGoogle Scholar
  12. Collmus, A.B. et al. 2016. Game-thinking within social media to recruit and select job candidates. Social Media in Employee Selection and Recruitment: Theory, Practice, and Current Challenges. Springer International Publishing. 103--124.Google ScholarGoogle Scholar
  13. Costa, C. and Santos, M.Y. 2017. The data scientist profile and its representativeness in the European e-Competence framework and the skills framework for the information age. International Journal of Information Management. 37, 6 (Dec. 2017), 726--734. Google ScholarGoogle ScholarDigital LibraryDigital Library
  14. Davis, D.C. 2003. Job titles, tasks, and experiences of information systems and technologies graduates from a Midwestern university. Journal of Information Systems Education. 14, 1 (2003), 59.Google ScholarGoogle Scholar
  15. Dixon, J. et al. 2010. The importance of soft skills. Corporate finance review. 14, 6 (2010), 35.Google ScholarGoogle Scholar
  16. Downey, J.P. et al. 2008. Mapping the MIS curriculum based on critical skills of new graduates: An empirical examination of IT professionals. Journal of Information Systems Education. 19, 3 (2008), 351.Google ScholarGoogle Scholar
  17. Ehie, I.C. 2002. Developing a management information systems (MIS) curriculum: Perspectives from MIS practitioners. Journal of Education for Business. 77, 3 (2002), 151--158.Google ScholarGoogle ScholarCross RefCross Ref
  18. Föll, P. and Thiesse, F. 2017. Aligning is curriculum with industry skill expectations: A text mining approach. (2017).Google ScholarGoogle Scholar
  19. Föll, P. and Thiesse, F. 2021. Exploring Information Systems Curricula: A Text Mining Approach. Business & Information Systems Engineering. 63, 6 (Dec. 2021), 711--732. Google ScholarGoogle ScholarCross RefCross Ref
  20. Gallivan, M.J. et al. 2004. Changing patterns in IT skill sets 1988-2003: a content analysis of classified advertising. ACM SIGMIS Database: the DATABASE for Advances in Information Systems. 35, 3 (2004), 64--87.Google ScholarGoogle ScholarDigital LibraryDigital Library
  21. Geea, L.K. 2019. The more you know: Information effects on job application rates in a large field experiment. Management Science. 65, 5 (2019), 2077--2094. Google ScholarGoogle ScholarDigital LibraryDigital Library
  22. Igbaria, M. et al. 1991. Career Orientations of MIS Employees: An Empirical Analysis. MIS Quarterly. 15, 2 (Jun. 1991), 151. Google ScholarGoogle ScholarDigital LibraryDigital Library
  23. Jung, R. and Lehrer, C. 2017. Guidelines for Education in Business and Information Systems Engineering at Tertiary Institutions. Business & Information Systems Engineering. 59, 3 (Jun. 2017), 189--203. Google ScholarGoogle ScholarCross RefCross Ref
  24. Laumer, S. et al. 2016. Work routines as an object of resistance during information systems implementations: theoretical foundation and empirical evidence. European Journal of Information Systems. 25, 4 (Jul. 2016), 317--343. Google ScholarGoogle ScholarCross RefCross Ref
  25. Lee, K. and Mirchandani, D. 2010. Dynamics of the importance of IS/IT skills. Journal of Computer Information Systems. 50, 4 (2010), 67--78.Google ScholarGoogle Scholar
  26. Leitheiser, R.L. 1992. MIS Skills for the 1990s: A Survey of MIS Managers' Perceptions. Journal of Management Information Systems. 9, 1 (Jun. 1992), 69--91. Google ScholarGoogle ScholarDigital LibraryDigital Library
  27. Lovaglio, P.G. et al. 2018. Skills in demand for ICT and statistical occupations: Evidence from web-based job vacancies. Statistical Analysis and Data Mining. 11, 2 (2018), 78--91. Google ScholarGoogle ScholarCross RefCross Ref
  28. Maier, J.L. et al. 2002. The management information systems (MIS) job market late 1970s-late 1990s. Journal of Computer Information Systems. 42, 4 (2002), 44--49.Google ScholarGoogle Scholar
  29. Makdoun, I. et al. 2018. Analyzing the needs of the automotive job market in Morocco. (2018), 210--215.Google ScholarGoogle Scholar
  30. Miller, G.A. 1956. The magical number seven, plus or minus two: Some limits on our capacity for processing information. Psychological review. 63, 2 (1956), 81.Google ScholarGoogle Scholar
  31. Mimno, D. et al. 2011. Optimizing semantic coherence in topic models. Proceedings of the 2011 conference on empirical methods in natural language processing (2011), 262--272.Google ScholarGoogle Scholar
  32. Nelson, H.J. et al. 2007. A comparative study of IT/IS job skills and job definitions. Proceedings of the 2007 ACM SIGMIS CPR conference on 2007 computer personnel doctoral consortium and research conference The global information technology workforce - SIGMGS-CPR '07 (St. Louis, Missouri, USA, 2007), 168.Google ScholarGoogle Scholar
  33. Nettleton, S. et al. 2008. Engaging professional societies in developing work-ready graduates. Higher education research and development society of australasia annual conference (2008).Google ScholarGoogle Scholar
  34. Noll, C.L. and Wilkins, M. 2002. Critical skills of IS professionals: A model for curriculum development. Journal of Information Technology Education. Research. 1, (2002), 143.Google ScholarGoogle Scholar
  35. Paklina, S. and Shakina, E. 2021. Which professional skills value more under digital transformation? Journal of Economic Studies. (2021). Google ScholarGoogle ScholarCross RefCross Ref
  36. Papoutsoglou, M. et al. 2022. Online labour market analytics for the green economy: The case of electric vehicles. Technological Forecasting and Social Change. 177, (2022). Google ScholarGoogle ScholarCross RefCross Ref
  37. Pejic-Bach, M. et al. 2020. Text mining of industry 4.0 job advertisements. International Journal of Information Management. 50, (2020), 416--431. Google ScholarGoogle ScholarDigital LibraryDigital Library
  38. Rehurek, R. and Sojka, P. 2010. Software Framework for Topic Modeling with Large Corpora. Proceedings of the LREC 2010 Workshop on New Challenges for NLP Frameworks (Valletta, Malta, 2010), 45--50.Google ScholarGoogle Scholar
  39. Schmiedel, T. et al. 2019. Topic modeling as a strategy of inquiry in organizational research: A tutorial with an application example on organizational culture. Organizational Research Methods. 22, 4 (2019), 941--968.Google ScholarGoogle ScholarCross RefCross Ref
  40. SFIA 2021. Skills Framework for the Information Age.Google ScholarGoogle Scholar
  41. Simon, J.C. et al. 2007. Information technology workforce skills: Does size matter? Information Systems Management. 24, 4 (2007), 345--359.Google ScholarGoogle ScholarDigital LibraryDigital Library
  42. Smith, E. et al. 2021. Skill extraction for domain-specific text retrieval in a job-matching platform. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 12880 LNCS, (2021), 116--128. Google ScholarGoogle ScholarDigital LibraryDigital Library
  43. Spitz-Oener, A. 2006. Technical change, job tasks, and rising educational demands: Looking outside the wage structure. The University of Chicago Press.Google ScholarGoogle Scholar
  44. Todd, P.A. et al. 1995. The Evolution of IS Job Skills: A Content Analysis of IS Job Advertisements from 1970 to 1990. MIS Quarterly. 19, 1 (1995), 1. Google ScholarGoogle ScholarDigital LibraryDigital Library
  45. Yang, M. et al. 2018. Mind the gap: Accounting for measurement error and misclassification in variables generated via data mining. Information Systems Research. 29, 1 (2018), 4--24. Google ScholarGoogle ScholarDigital LibraryDigital Library

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    • Published in

      cover image ACM Conferences
      SIGMIS-CPR '22: Proceedings of the 2022 Computers and People Research Conference
      June 2022
      126 pages
      ISBN:9781450392310
      DOI:10.1145/3510606

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      Publication History

      • Published: 17 January 2023

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