Social media and cybervetting in R&S processes: A study on candidate behavior and perception

Authors

DOI:

https://doi.org/10.5007/2175-8077.2024.e99208

Keywords:

Recruitment and selection, Social media, Cybervetting, Mixed methods

Abstract

Goal: To analyze candidates' behavior regarding the use of social media platforms in Recruitment and Selection (R&S) processes, and how they perceive organizations' analysis of these platforms.

Methodology/approach: Mixed-method research involving 483 job candidates enrolled in a public university located in the South of Brazil.

Originality/relevance: Social media platforms have permeated nearly all organizational and social processes. In this regard, candidates and organizations are adopting new communication and information technologies for the R&S process, with one of the main ones being social media platforms.

Main findings: Candidates increasingly use social media as a means to find employment, with differences in platform adoption depending on their field of study. Additionally, there is a group of candidates who agree with the use of social media in R&S processes, while another group disagrees. Finally, candidates may create content on their personal social media profiles solely to meet recruiters' and desired job positions' expectations.

Theoretical contributions: The article contributes to R&S literature by highlighting the performativity in the R&S process on social networks.

Management implications: The article underscores that organizations should pay attention to social media platforms as important R&S channels, as well as analyze the differences between platforms and how they can impact candidate search strategy.

Author Biographies

Juliana Toczek, Federal University of Technology of Paraná

Graduated in Administration from the Foundation of Social Studies of Paraná, she has a Specialization in Human Resources Management from the Pontifical Catholic University of Paraná and a Master's in Administration from the Federal Technological University of Paraná (PPGA-UTFPR). She is currently the Human Resources Manager at TAURUS Helmets Helmet Industry, with over 15 years of experience in the area.

Jurandir Peinado, Federal University of Technology of Paraná

PhD in Administration from Universidade Positivo, Master in Production Engineering from Universidade Federal de Santa Catarina. Professor at PPGA and professor at the Department of Administration and Economics DAGEE at Universidade Tecnológica Federal do Paraná - UTFPR -. He has experience in the area of ​​Production Engineering, with an emphasis on Production Management, working mainly on the following topics: Production Management, Industry 4.0, Digital Capitalism, Crowdsourcing, Technology and Society.

Fernando Ressetti Pinheiro Marques Vianna, Federal University of Technology of Paraná

Professor of Higher Education (Academic Department of Management and Economics)

Francis Kanashiro Meneghetti, Federal University of Technology of Paraná

Administrator from UFPR, Master in Administration from UFPR. Doctor in Education from UFPR. Post-doctoral internship in Philosophy from PUC-PR. EBTT Professor at the Federal Technological University of Paraná (UTFPR), affiliated with the Academic Department of Management and Economics and the Postgraduate Programs in Technology and Society (PPGTE) and Postgraduate Programs in Administration (PPGA). Founding member and researcher at the Brazilian Institute of Social Studies and Research (IBEPES). President of the Brazilian Society of Organizational Studies (2012-2013). Studies and researches topics such as: Totalitarian Organizations; Intolerance; Organizational Violence and Organizations, Technology and Work from a critical perspective.

References

Akbulut, Y., Yildirim Şen, İ. E., & Şahin, Y. L. (2024). Employer and employee perceptions of cybervetting as a selection method. International Journal of Selection and Assessment, 32(2), 292-308. https://doi.org/10.1111/ijsa.12463

Alaimo, C., & Kallinikos, J. (2019). Social Media and the Infrastructuring of Sociality. In Kornberger, M., Bowker, G., Elyachar, J., Menniken, A., Miller, P., Nucho, J. R., & Pollock, N. (Eds.), Thinking Infrastructures, 289-306. Bingley, UK: Emerald Publishing Limited. https://doi.org/10.1108/S0733-558X20190000062018

Albert, E. T. (2019). AI in talent acquisition: a review of AI-applications used in recruitment and selection. Strategic HR Review, 18(5), 215-221. https://doi.org/10.1108/SHR-04-2019-0024

Backman, C., & Hedenus, A. (2019). Online privacy in job recruitment processes? Boundary work among Cybervetting recruiters. New Technology, Work and Employment, 34(2), 157-173. https://doi.org/10.1111/ntwe.12140

Backman, C., & Hedenus, A. (2023). Professional talk on cybervetting: Accounting for a contested practise. Acta Sociologica, 66(1), 59-73. https://doi.org/10.1177/00016993221088741

Baum, M., & Kabst, R. (2014). The effectiveness of recruitment advertisements and recruitment websites: Indirect and interactive effects on applicant attraction. Human Resource Management, 53(3), 353-378. https://doi.org/10.1002/hrm.21571

Berkelaar, B. L. (2010). Cyber-vetting: Exploring the implications of online information for career capital and human capital decisions (Doctoral dissertation, Purdue University).

Berkelaar, B. L. (2014). Cybervetting, online information, and personnel selection: New transparency expectations and the emergence of a digital social contract. Management Communication Quarterly, 28(4), 479-506. https://doi.org/10.1177/0893318914541966

Berkelaar, B. L., & Harrison, M. A. (2017). Cybervetting. In Scott, C. R. & Lewis, L. (Eds.) The international encyclopedia of organizational communication, 1-7. New Jersey: John Wiley & Sons. https://doi.org/10.1002/9781118955567.wbieoc054

Berkelaar, B. L., Scacco, J. M., & Birdsell, J. L. (2015). The worker as politician: How online information and electoral heuristics shape personnel selection and careers. new media & society, 17(8), 1377-1396. https://doi.org/10.1177/1461444814525739

Bickman, L., & Rog, D. J. (ed.). (2008). The Sage handbook of applied social research methods. London: Sage Publications.

Blumen, D., & Cepellos, V. M. (2023). Dimensões do uso de tecnologia e Inteligência Artificial (IA) em Recrutamento e Seleção (R&S): benefícios, tendências e resistências. Cadernos EBAPE. BR, 21(2), e2022-0080. https://doi.org/10.1590/1679-395120220080

Bortoluzzi, D. A., Lunkes, R. J., dos Santos, E. A., & Mendes, A. C. A. (2020). Effect of online hotel reviews on the relationship between defender and prospector strategies and management controls. International Journal of Contemporary Hospitality Management, 32(12), 3721-3745. https://doi.org/10.1108/IJCHM-04-2020-0297

Bragado, L. (2024). Saiba qual é a rede social mais usada no Brasil. Época Negócios – Tecnologia. Publicado em 05, fevereiro, 2024. Disponível em https://epocanegocios.globo.com/tecnologia/noticia/2024/02/saiba-qual-e-a-rede-social-mais-usada-no-brasil.ghtml

Bryman, A. (2007). Barriers to integrating quantitative and qualitative research. Journal of mixed methods research, 1(1), 8-22. https://doi.org/10.1177/2345678906290531

Cassiano, C. N., Lima, L. C., & dos Santos Zuppani, T. (2016). A eficiência das redes sociais em processos de recrutamento organizacional. NAVUS-Revista de Gestão e Tecnologia, 6(2), 52-67. ISSN 2237-4558

Charmaz, K. (2006). Constructing grounded theory: A practical guide through qualitative analysis. London: SAGE.

Cheng, M. M., & Hackett, R. D. (2021). A critical review of algorithms in HRM: Definition, theory, and practice. Human Resource Management Review, 31(1), 100698. https://doi.org/10.1016/j.hrmr.2019.100698

Creswell, J. W., & Tashakkori, A. (2007). Developing publishable mixed methods Mmnuscripts. Journal of Mixed Methods Research, 1(2), 107-111. https://doi.org/10.1177/1558689806298644

Cusumano, M. A., Gawer, A., & Yoffie, D. B. (2019). The business of platforms: Strategy in the age of digital competition, innovation, and power (Vol. 320). New York: Harper Business.

Cutolo, D., & Kenney, M. (2021). Platform-dependent entrepreneurs: Power asymmetries, risks, and strategies in the platform economy. Academy of management perspectives, 35(4), 584-605. https://doi.org/10.5465/amp.2019.0103

Daniels, R. A., Pemble, S. D., Allen, D., Lain, G., & Miller, L. A. (2023). LinkedIn blunders: A mixed method study of college students’ profiles. Community College Journal of Research and Practice, 47(2), 90-105. https://doi.org/10.1080/10668926.2021.1944932

Evertz, L., Kollitz, R., & Süß, S. (2021). Electronic word-of-mouth via employer review sites–the effects on organizational attraction. The International Journal of Human Resource Management, 32(16), 3428-3457. https://doi.org/10.1080/09585192.2019.1640268

Faliagka, E., Iliadis, L., Karydis, I., Rigou, M., Sioutas, S., Tsakalidis, A., & Tzimas, G. (2014). On-line consistent ranking on e-recruitment: seeking the truth behind a well-formed CV. Artificial Intelligence Review, 42, 515-528. https://doi.org/10.1007/s10462-013-9414-y

Feuls, M., Fieseler, C., & Suphan, A. (2014). A social net? Internet and social media use during unemployment. Work, employment and society, 28(4), 551-570. https://doi.org/10.1177/0950017013519846

Freire, M. N., & de Castro, L. N. (2021). e-Recruitment recommender systems: a systematic review. Knowledge and Information Systems, 63(1), 1-20. https://doi.org/10.1007/s10115-020-01522-8

Gawer, A., Cusumano, M., & Yoffie, D. (2023). The Platform Organization. In Snow, C. & Fjeldstad, D. (Eds.) Designing Adaptive Organizations, 86-103. Cambridge: Cambridge University Press.

Gibson, C. B., Dunlop, P. D., Majchrzak, A., & Chia, T. (2022). Sustaining effectiveness in global teams: The coevolution of knowledge management activities and technology affordances. Organization Science, 33(3), 1018-1048. https://doi.org/10.1287/orsc.2021.1478

Hanafizadeh, P., Shafia, S., & Bohlin, E. (2021). Exploring the consequence of social media usage on firm performance. Digital Business, 1(2), 100013. https://doi.org/10.1016/j.digbus.2021.100013

Hancock, P., Tyler, M., & Godiva, M. (2021). Thursday night and a sing-along ‘sung alone’: The experiences of a self-employed performer during the pandemic. Work, Employment and Society, 35(6), 1155-1166. https://doi.org/10.1177/09500170211045830

Hartwell, C. J., & Campion, M. A. (2020). Getting social in selection: How social networking website content is perceived and used in hiring. International Journal of Selection and Assessment, 28(1), 1-16. https://doi.org/10.1111/ijsa.12273

Hosain, M. S. (2023). Integration of social media into HRM practices: a bibliometric overview. PSU Research Review, 7(1), 51-72. https://doi.org/10.1108/PRR-12-2020-0039

Huston, A. C. (2001). Mixed methods in studies of social experiments for parents in poverty: commentary. Conference on Discovering Successful Pathways in Children’s Development, Santa Monica, CA.

Jeske, D., & Shultz, K. S. (2016). Using social media content for screening in recruitment and selection: pros and cons. Work, employment and society, 30(3), 535-546. https://doi.org/10.1177/0950017015613746

Knight, M. (2019). Teaching responsible social media practices in business and professional communication: The importance of LinkedIn. Business and Professional Communication Quarterly, 82(4), 399-400. https://doi.org/10.1177/2329490619884740

Köchling, A., & Wehner, M. C. (2020). Discriminated by an algorithm: a systematic review of discrimination and fairness by algorithmic decision-making in the context of HR recruitment and HR development. Business Research, 13(3), 795-848. https://doi.org/10.1007/s40685-020-00134-w

Lapponi, J. C. (2005). Estatística Usando Excel. Rio de Janeiro: Campus.

Leonardi, P. M. (2014). Social media, knowledge sharing, and innovation: Toward a theory of communication visibility. Information systems research, 25(4), 796-816. https://doi.org/10.1287/isre.2014.0536

Llorens, J. J. (2011). A model of public sector e-recruitment adoption in a time of hyper technological change. Review of Public Personnel Administration, 31(4), 410-423. https://doi.org/10.1177/0734371X11421498

Markoulli, M. P., Lee, C. I., Byington, E., & Felps, W. A. (2017). 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

Martin, G., Parry, E., & Flowers, P. (2015). Do social media enhance constructive employee voice all of the time or just some of the time?. Human Resource Management Journal, 25(4), 541-562. https://doi.org/10.1111/1748-8583.12081

Matos, R., Angonese, R., & Gomes, G. (2023). Cultura de inovação e ecoinovação: o efeito mediador das práticas de recursos humanos. Ciências da Administraçao, 25(65), 4. https://doi.org/10.5007/2175-8077.2023.e76543

McFarland, L. A., & Ployhart, R. E. (2015). Social media: A contextual framework to guide research and practice. Journal of applied psychology, 100(6), 1653. https://doi.org/10.1037/a0039244

Melanthiou, Y., Pavlou, F., & Constantinou, E. (2015). The use of social network sites as an e-recruitment tool. Journal of Transnational Management, 20(1), 31-49. https://doi.org/10.1080/15475778.2015.998141

Melton, J., Miller, R., Jensen, B. R., & Shah, V. (2018). Decisions, decisions: Cybervetting through the eyes of students. Journal of Education for Business, 93(5), 252-259. https://doi.org/10.1080/08832323.2018.1442785

Neves, I. B. (2022). Reprovados por robôs: Como plataformas de inteligência artificial podem discriminar mulheres, idosos e faculdades populares em processos seletivos. Tecnoinvestigações – Parte 3 - The Intercept_Brasil. Publicado em 24 de novembro. Disponível em https://www.intercept.com.br/2022/11/24/como-plataformas-de-inteligencia-artificial-podem-discriminar-mulheres-idosos-e-faculdades-populares-em-processos-seletivos/

Neves, I. B., Vianna, F. R. P. M., & Sutil, B. D. N. (2021). Algocracia: Uma análise crítica sobre a gestão mediada por algoritmos. Contextus: Revista Contemporânea de Economia e Gestão, 19(16), 246-256. https://doi.org/10.1080/08832323.2018.1442785

Nikolaou, I. (2021). What is the Role of Technology in Recruitment and Selection?. The Spanish journal of psychology, 24, e2. https://doi.org/10.1017/SJP.2021.6

Oostervink, N., Agterberg, M., & Huysman, M. (2016). Knowledge sharing on enterprise social media: Practices to cope with institutional complexity. Journal of Computer-Mediated Communication, 21(2), 156-176. https://doi.org/10.1111/jcc4.12153

Ore, O., & Sposato, M. (2021). Opportunities and risks of artificial intelligence in recruitment and selection. International Journal of Organizational Analysis, 36(6), 1771-1782. https://doi.org/10.1108/IJOA-07-2020-2291

Pallant, J. (2013). SPSS survival manual: A step by step guide to data analysis using IBM SPSS. Londres: Routledge. https://doi.org/10.4324/9781003117452

Pillai, R., & Sivathanu, B. (2020). Adoption of artificial intelligence (AI) for talent acquisition in IT/ITeS organizations. Benchmarking: An International Journal, 27(9), 2599-2629. https://doi.org/10.1108/BIJ-04-2020-0186

Rahman, M., Aydin, E., Haffar, M., & Nwagbara, U. (2022). The role of social media in e-recruitment process: empirical evidence from developing countries in social network theory. Journal of Enterprise Information Management, 35(6), 1697-1718. https://doi.org/10.1108/JEIM-12-2019-0382

Ryan, A. M., & Ployhart, R. E. (2014). A century of selection. Annual review of psychology, 65, 693-717. https://doi.org/10.1146/annurev-psych-010213-115134

Rynes, S. L., & Cable, D. M. (2003). Recruitment research in the twenty-first century. Handbook of psychology: Industrial and organizational psychology, 12, 55-76. https://doi.org/10.1002/0471264385.wei1204

Shih, H. S., Huang, L. C., & Shyur, H. J. (2005). Recruitment and selection processes through an effective GDSS. Computers & Mathematics with Applications, 50(10-12), 1543-1558. https://doi.org/10.1016/j.camwa.2005.08.026

Si, K., Jalees, T., Zaman, S. I., Alam, S. H., & Khan, S. (2023). The role communication, informativeness, and social presence play in the social media recruitment context of an emerging economy. Cogent business & management, 10(3), 2251204. https://doi.org/10.1080/23311975.2023.2251204

Smith, S. A., & Watkins, B. (2023). Millennials’ uses and gratifications on LinkedIn: Implications for recruitment and retention. International Journal of Business Communication, 60(2), 560-586. https://doi.org/10.1177/2329488420973714

Tashakkori, A., & Teddlie, C. B. (1998). Mixed methodology: combining qualitative and quantitative approaches. New York: Sage Publications.

Teddlie, C. B. & Tashakkori, A. (2009). Foundations of mixed methods research: integrating quantitative and qualitative approaches in the social and behavioral sciences. New York: Sage Publications.

Yu, K. Y. T., Goh, K. H., & Kawasaki, S. (2022). Investigating electronic word‐of‐mouth on social media: An eye‐tracking approach. Human Resource Management, 61(5), 599-616. https://doi.org/10.1002/hrm.22099

Wyrwoll, C. (2014). Social media: Fundamentals, models, and ranking of user-generated content. Hamburg: Springer. https://doi.org/10.1007/978-3-658-06984-1_2

Published

2024-10-18

How to Cite

Toczek, J., Peinado, J., Vianna, F. R. P. M., & Meneghetti, F. K. (2024). Social media and cybervetting in R&S processes: A study on candidate behavior and perception. Revista De Ciências Da Administração, 26(66), 1–24. https://doi.org/10.5007/2175-8077.2024.e99208

Similar Articles

<< < 9 10 11 12 13 14 15 16 17 18 > >> 

You may also start an advanced similarity search for this article.