People Analytics and Human Resource Management: How the Use of Smart Data Can Improve the Training Processes
DOI:
https://doi.org/10.19245/25.05.pij.7.2.2Keywords:
people analytics, training process, human resource managementAbstract
People Analytics (PA), which applies big data in human resources management (HRM), is becoming increasingly important in the current globalised and digitalised era. Despite several issues due to PA, such as high costs and privacy legislation, PA improves employees’ well-being and helps organisations create value on the market to become more competitive, achieving sustainable development, as defined in the 17 Sustainable Development Goals proposed by the United Nations. Based on the existing literature, the paper analyses the positive and negative aspects of the use of data for the design, monitoring and evaluation of the training process, especially in consideration of the recent technological changes and the impact on organisations’ processes triggered by the Sars-Cov-2 pandemic. Using data-based analysis, organisations can create a personalised training program for each employee to achieve the expected results. Therefore, to assess whether the training has been effective and whether the investment has been profitable, organisations should use specific and innovative tools and competencies. In conclusion, this investigation seeks to demonstrate that using PA in the training process is becoming increasingly relevant in organisations and, despite risks and costs, the benefits are considerable.
References
Baig, M.I., Shuib, L., and Yadegaridehkordi, E. (2019), “Big Data Tools: Advantages and Disadvantages”, Journal of Soft Computing and Decision Support Systems, 6 (6): 14–20.
Bohn, R. (2012), “Measuring Consumer Information”, International Journal of Communication, 6: 980–1000.
Bohn, R., and Short, J. (2010), How Much Information? 2009, Report on American Consumers, Global Information Industry Center University of California, San Diego.
Bonati, E. (2021), Coronavirus e Digital Transformation: Spinte Evolutive per la Direzione HR. Available online at https://www.ninjamarketing.it/2020/04/30/hr-coronavirus-digital-transformation-medicina-aziende/ (last accessed: November 25, 2021).
Cascio, W., and Montealegre, R. (2016), “How Technology Is Changing Work and Organizations”, Annual Review of Organizational Psychology and Organizational Behavior, 3: 349–375. DOI: 10.1146/annurev-orgpsych-041015-062352.
CIPD report. (2018), PA: Driving Business Performance with People Data. Available online at https://www.cipd.co.uk/knowledge/strategy/analytics/people-data-driving-performance (last accessed: November 25, 2021).
Costa, G., and Giannecchini, M. (2013), Risorse Umane. Persone, Relazioni e Valore (2nd edn.), Milan: McGraw-Hill Education.
Dastin, J. (2018), “Amazon Scraps Secret AI Recruiting Tool That Showed Bias against Women”, Reuters. Available online at https://www.reuters.com/article/us-amazon-com-jobs-automation-insight-idUSKCN1MK08G (last accessed: November 25, 2021).
Dishman, R.K., Patton, R.W., Smith, J., Weinberg, R., and Jackson, A. (1987), “Using Perceived Exertion to Prescribe and Monitor Exercise Training Heart Rate”, International Journal of Sports Medicine, 8 (3): 208–213. DOI: 10.1055/s-2008-1025657.
Donnelly, R., and Johns, J. (2021), “Recontextualising Remote Working and its HRM in the Digital Economy: An Integrated Framework for Theory and Practice”, International Journal of Human Resource Management, 32 (1): 84–105. DOI: 10.1080/09585192.2020.1737834.
Evans, J.R., and Lindner, C.H. (2012), Business Analytics: The Next Frontier for Decision Sciences. Available online at http://www.cbpp.uaa.alaska.edu/afef/business_analytics.htm (last accessed: November 25, 2021).
Fontana, F., and Caroli, M. (2013), Economia e Gestione delle Imprese (4th edn.), Milan: McGraw-Hill Education.
Glickon (2020), Indagine: Ecco Perché si Cambia Lavoro. Available online at https://www.avvenire.it/economia/pagine/indagine-ecco-perche-si-cambia-lavoro (last accessed: November 25, 2021).
Green, D. (2018), Don’t Forget the ‘H’ in HR: Ethics and People Analytics. Available online at https://digital.hbs.edu/platform-peopleanalytics/submission/dont-forget-the-h-in-hr-the-ethics-of-people-analytics/ (last accessed: November 25, 2021).
Green, D. (2020), COVID-19: Resources for HR and People Analytics. Available online at https://www.linkedin.com/pulse/covid-19-resources-hr-people-analytics-david-green/ (last accessed: November 25, 2021).
Green, D., and Ferrar, J. (2018), What are the Nine Dimensions for Excellence in People Analytics? – David
Green. Available online at https://www.davidrgreen.com/blog/2018/10/13/what-are-the-nine-dimension-for-excellence-in-people-analytics (last accessed: November 25, 2021).
Guenole, N., Feinzig, S., and Green, D. (2018), Ethical Dilemmas in HR Analytics. Available online at https://www.ibm.com/watson/talent/talent-management-institute/ethical-dilemmas-hr-analytics/hr-ethical-dilemmas.pdf (last accessed: November 25, 2021).
Hamari, J., Koivisto, J., and Sarsa, H. (2014), “Does Gamification Work? A Literature Review of Empirical Studies on Gamification”, in 47th Hawaii International Conference on System Sciences: 3025–3034. DOI: 10.1109/HICSS.2014.377.
Henke, N., Puri, A., and Saleh, T. (2020), Accelerating Analytics to Navigate COVID-19. Available online at https://www.mckinsey.com/business-functions/mckinsey-analytics/our-insights/accelerating-analytics-to-navigate-covid-19-and-the-next-normal (last accessed: November 25, 2021).
Khuong, M.N., Mai, T.P., and Minh Phuong, N.T. (2020), “The Impacts of Human Resource Management Practices on Employees’ Motivation and Loyalty”, Management Science Letters, 10 (11): 2673–2682. DOI: 10.5267/j.msl.2020.3.025.
Lebo, T. (2019), “Hyper-Personalization: What It Is and Why You Need It in Your 2019 Marketing”. Content Marketing Consulting and Social Media Strategy. Available online at https://www.convinceandconvert.com/research/hyper-personalization/ (last accessed: November 25, 2021).
Lynn, T., Endo Takako, P., Riberio, A.M.N., Barbosa, G.B., and Rosati, P. (2020), “The Internet of Things: Definitions, Key Concepts, and Reference Architectures”, in T. Lynn, J.G. Mooney, B. Lee and P.T. Endo (eds), The Cloud-To-Thing Continuum: Opportunities and Challenges in Cloud, Fog and Edge Computing, pp. 1–22, London: Palgrave Macmillan.
Maslow, A.H. (1943), “A Theory of Human Motivation”. Psychological Review, 50 (4): 370–396. DOI: 10.1037/h0054346.
Nadeak, B., and Naibaho, L. (2020), “Motivation and HRM Factors Relation to the Employee Loyalty”, Polish Journal of Management Studies, 22 (2): 261–276. DOI: 10.17512/pjms.2020.22.2.18.
Observatory of Big Data Analytics and Business Intelligence School Management (2018), Study on Disclosure Data in Our Era, Milan: Polytechnic of Milan.
Pape, T. (2016), “Prioritising Data Items for Business Analytics: Framework and Application to Human Resources”, European Journal of Operational Research, 252 (2): 687–698.
Pedone, A. (2021), I Sistemi di Formazione e la Transizione Digitale: Dalla Risposta All’Emergenza al Piano d’Azione per l’Istruzione e la Formazione Digitale. Available online at https://oa.inapp.org/xmlui/handle/20.500.12916/3292 (last accessed: November 25, 2021).
Razmerita, L., Kirchner, K., Hockerts, K., and Tan, C.W. (2020), “Modeling Collaborative Intentions and Behavior in Digital Environments: The Case of a Massive Open Online Course (MOOC)”, Academy of Management Learning and Education, 19 (4): 469–502. DOI: 10.5465/AMLE.2018.0056.
Richards, C. (2016), What are the Six Basic Human Needs?. Available online at https://chiprichards.global/2020/05/six-basic-human-needs/#:~:text=The%20need%20for%20safety%2C%20security,of%20stability%20in%20the%20world (last accessed: November 25, 2021).
Saxena, M., Bagga, T., and 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 and Engineering: 110–113. DOI: 10.1109/Confluence51648.2021.9377167.
Scherer, A.G., and Palazzo, G. (2007), “Toward a Political Conception of Corporate Responsibility: Business and Society Seen from a Habermasian Perspective”, The Academy of Management Review, 32 (4): 1096–1120. DOI: 10.2307/20159358.
Sordilli, V. (2020), Obiettivo Reskill: Il COVID-19 e Una Nuova Idea di Formazione. Available online at https://www.monster.it/ricerca-personale/risorse/gestione-del-personale-e-pianificazione/buonepratiche/obiettivo-reskill-il-covid-19-e-una-nuova-idea-di-formazione/ (last accessed: November 25, 2021).
Sureephong, P., Dahlan, W., Chernbumroong, S., and Tongpaeng, Y. (2020), “The Effect of Non-Monetary Rewards on Employee Performance in Massive Open Online Courses”, International Journal of Emerging Technologies in Learning (iJET), 15 (1): 88–102. DOI: 10.3991/ijet.v15i01.11470.
Thakur, N., and Han, C.Y. (2021), “Indoor Localization for Personalized Ambient Assisted Living of Multiple Users in Multi-Floor Smart Environments”, Big Data and Cognitive Computing, 5 (42): 1–28. DOI: 10.3390/bdcc5030042.
Tursunbayeva, A., Pagliari, C., and Di Lauro, S. (2018), “PA: A Scoping Review of Conceptual Boundaries and Value Propositions”, International Journal of Information Management, 43: 224–247.
Tursunbayeva, A., Pagliari, C., Di Lauro, S., and Antonelli, G. (2021), “The Ethics of People Analytics: Risks, Opportunities and Recommendations” Personnel Review, 51 (3): 900–921. DOI: 10.1108/PR-12-2019-0680.
Wakabayashi, D. (2018), “Firm Led by Google Veterans Uses A.I. to ‘Nudge’ Workers Toward Happiness”, The New York Times. Available online at https://www.nytimes.com/2018/12/31/technology/human-resources-artificial-intelligence-humu.html (last accessed: November 25, 2021).
Weerakkody, V., Sivarajah, U., Mahroof, K., Maruyama, T., and Lu, S. (2021), “Influencing Subjective Well-Being for Business and Sustainable Development Using Big Data and Predictive Regression Analysis”, Journal of Business Research, 131: 520–538. DOI: 10.1016/j.jbusres.2020.07.038
Wirth, K., and Sweet, K. (2020), One-to-One Personalization in the Age of Machine Learning: Harnessing Data to Power Great Customer Experiences, Pennsauken, NJ: Bookbaby.
Zang, S., and Ye, M. (2015), “Human Resource Management in the Era of Big Data”, Journal of Human Resource and Sustainability Studies, 3 (1): 3 (2015): 41–45.
Zheng, Y. (2021), “Personal Information Protection Based on Big Data”, Journal of Physics: Conference Series, 2037 (1): 1–7. DOI: 10.1088/1742-6596/2037/1/012134.
