Corporate training for developing social media literacy skills: personalized approach
- Authors: Osipovskaya E.A.1, Savelyeva A.A.2
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Affiliations:
- Peoples’ Friendship University of Russia (RUDN University)
- University of Tyumen
- Issue: Vol 28, No 1 (2023)
- Pages: 157-164
- Section: JOURNALISM
- URL: https://journals.rudn.ru/literary-criticism/article/view/34365
- DOI: https://doi.org/10.22363/2312-9220-2023-28-1-157-164
- EDN: https://elibrary.ru/LCJWWL
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Abstract
Today social media can be a highly effective tool in business by attracting new customers, getting their feedback, building loyalty, and increasing a company's market reach. However, what happens when it goes wrong? One of the most common problems with social media is that information that was previously private can now be presented to the world by one mouse click. Employees are directly linked to their employers on social media, so if an employee writes a controversial statement online, reputational damage to a company can be devastating. Hence, employees should receive basic social media literacy, to have the proficiency to communicate appropriately and responsibly. The only providers of this educational content for learning and development (L&D) divisions are established media outlets that could force positive changes to the way companies learn. Upskilling and reskilling of employees have become a significant objective in strategic development for many companies, according to LinkedIn research. One-size-fit-for-all training approach is no longer effective. Therefore, even the development of social media literacy skills should be personalized. The study aims to determine: 1) contemporary understanding of media literacy skill in business context; 2) characteristics of the personalized learning (PL) environment that impact on learning outcomes; 3) personalized learning tools. Theoretical analysis is used to identify contemporary empirical studies associated with the implementation of PL in corporate learning between 2018 and 2022.
About the authors
Elizaveta A. Osipovskaya
Peoples’ Friendship University of Russia (RUDN University)
Author for correspondence.
Email: osipovskaya-ea@rudn.ru
ORCID iD: 0000-0002-4192-511X
PhD in Philology, Associate Professor, Mass Communication Department
10 Miklukho-Maklaya St, bldg 2, Moscow, 117198, Russian FederationAnastasiia A. Savelyeva
University of Tyumen
Email: an.a.saveleva@utmn.ru
ORCID iD: 0000-0002-7727-9850
Assistant, School of Education
6 Volodarskogo St, Tyumen, 625003, Russian FederationReferences
- Allal-Chérif, O., Lombardo, E., & Jaotombo, F. (2022). Serious games for managers: Creating cognitive, financial, technological, social, and emotional value in in-service training. Journal of Business Research, 146, 166-175. https://doi.org/10.1016/j.jbusres.2022.03.083
- Armstrong, M.B., & Landers, R.N. (2018). Gamification of employee training and development. International Journal of Training & Development, 22(2), 162-169. https://doi.org/10.1111/ijtd.12124
- Chunaev, A., & Shikov, A. (2018). The method of personalized corporate e-learning based on personal traits of employees. Procedia Computer Science, 136, 511-521. https://doi.org/10.1016/j.procs.2018.08.253
- Dekoulou, P., & Trivellas, P. (2015). Measuring the impact of learning organization on job satisfaction and individual performance in Greek advertising sector. Procedia-Social and Behavioral Sciences, 175, 367-375. https://doi.org/10.1016/j.sbspro.2015.01.1212
- Gambhir, V., Asnate-Salazar, E., Prithi, M., Alvarado-Tolentino, J., & Tongkachok, K. (2022). Using artificial intelligence and deep learning methods to analysis the marketing analytics and its impact on human resource management systems. Communications in Computer and Information Science, 1591. Springer, Cham. https://doi.org/10.1007/978-3-031-07012-9_30
- Gerdenitsch, C., Sellitsch, D., Besser, M., Burger, S., Stegmann, C., Tscheligi, M., & Kriglstein, S. (2020). Work gamification: Effects on enjoyment, productivity and the role of leadership. Electronic Commerce Research and Applications, 43. https://doi.org/10.1016/j.elerap.2020.100994
- Haque, M., Goyal, A., Joshi, S., & Parmar, S. (2021). Transformation of human resource management due to impact of artificial intelligence. PalArch’s Journal of Archaeology of Egypt/Egyptology, 18(10), 803-809.
- Hromada, D. (2022). Humans teaching, machines learning: Machines teaching, humans learning: Invitation to peer learning of human and artificial pupils. Preprint of the article. https://doi.org/10.13140/RG.2.2.35146.08649
- Kesson, K.R. (2021). Channeling John Dewey: What would Vermont's philosopher of democracy have to say about personalized learning? Middle Grades Review, 7(2). Retrieved December 12, 2022, from https://scholarworks.uvm.edu/mgreview/vol7/iss2/2
- Kim, S. (2021). How a company’s gamification strategy influences corporate learning: A study based on gamified MSLP (mobile social learning platform). Telematics and Informatics, 57. https://doi.org/10.1016/j.tele.2020.101505
- Larkin, J. (2017). HR digital disruption: the biggest wave of transformation in decades. Strategic HR Review, 16(2), 55-59. https://doi.org/10.1108/SHR-01-2017-0006
- Lazar, T. (2022). Organizational scandal on social media: Workers whistleblowing on YouTube and Facebook. Information and Organization, 32(1). https://doi.org/10.1016/j.infoandorg.2022.100390
- Lengnick-Hall, M.L., Neely, A.R., & Stone, C.B. (2018). Human resource management in the digital age: Big data, HR analytics and artificial intelligence. Management and Technological Challenges in the Digital Age, 3, 1-30.
- Maity, S. (2019). Identifying opportunities for artificial intelligence in the evolution of training and development practices. Journal of Management Development, 38(8), 651-663. https://doi.org/10.1108/JMD-03-2019-0069
- Patki, S., Sankhe, V., Jawwad, M., & Mulla, N. (2021). Personalised employee training. 2021 International Conference on Communication information and Computing Technology (ICCICT) (pp. 1-6). https://doi.org/10.1109/ICCICT50803.2021.9510056
- Pavlát, V., & Knihová, L. (2019). The personal learning cloud as an innovative tool in corporate training. In J. Beseda, L. Rohlíková & V. Duffek (Eds.), 2019: E-learning: Unlocking the Gate to Education around the Globe: 14th Conference Reader (pp. 40-59). Prague: Center for Higher Education Studies.
- Saxena, M., Bagga, T., & Gupta, S. (2021). HR during Covid-19 era: Study on recent HR transformations through technological tools and trends. 11th International Conference on Cloud Computing, Data Science & Engineering (Confluence) (pp. 110-113). https://doi.org/10.1109/Confluence51648.2021.9377167
- Shivakumar, S.K. (2020). Digital workplace case study. Build a Next-Generation Digital Workplace. Apress, Berkeley, CA. https://doi.org/10.1007/978-1-4842-5512-4_7
- Tambe, P., Cappelli, P., & Yakubovich, V. (2019). Artificial intelligence in human resources management: Challenges and a path forward. California Management Review, 61(4), 15-42. https://doi.org/10.1177/0008125619867910
- Vorm, E.S. (2018). Assessing demand for transparency in intelligent systems using machine learning. Innovations in Intelligent Systems and Applications (INISTA) (pp. 1-7). https://doi.org/10.1109/INISTA.2018.8466328
- Zhang, B., Yin, C., David, B., Xiong, Z., & Niu, W. (2016). Facilitating professionals' work-based learning with context-aware mobile system. Science of Computer Programming, 129, 3-19. https://doi.org/10.1016/j.scico.2016.01.008
