Social media and cybervetting in R&S processes: A study on candidate behavior and perception
DOI:
https://doi.org/10.5007/2175-8077.2024.e99208Keywords:
Recruitment and selection, Social media, Cybervetting, Mixed methodsAbstract
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.
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
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Copyright (c) 2024 Juliana Toczek, Jurandir Peinado, Fernando Ressetti Pinheiro Marques Vianna, Francis Kanashiro Meneghetti
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