Integrating Technological Tools in HR Mental Health Initiatives

References

[1] Abaku, E.A., Edunjobi, T.E. and Odimarha, A.C. (2024) ‘Theoretical approaches to AI in supply chain optimization: Pathways to efficiency and resilience, ‘International Journal of Science and Technology Research Archive, 6(1), pp. 092–107. https://doi.org/10.53771/ijstra.2024.6.1.0033.

[2] Ajayi, F.A., Udeh, C.A. (2024) ‘Innovative recruitment strategies in the IT sector: A review of successes and failures’, Magna Scientia Advanced Research and Reviews, 10(02), pp.150–164. https://doi.org/10.30574/msarr.2024.10.2.0057

[3] Ajayi, F.A., Udeh, C.A. (2024) ‘Review of crew resilience and mental health practices in the marine industry: Pathways to improvement’, Magna Scientia Advanced Biology and Pharmacy,11(02), pp. 033–049. https://doi.org/10.30574/msabp.2024.11.2.0021

[4] Andersson, G. and Cuijpers, P., 2009. Internet-based and other computerized psychological treatments for adult depression: a meta-analysis. Cognitive behaviour therapy, 38(4), pp.196-205.

[5] Andersson, G., Cuijpers, P., Carlbring, P., Riper, H. and Hedman, E., 2014. Guided Internet‐based vs. face‐to‐face cognitive behavior therapy for psychiatric and somatic disorders: a systematic review and meta‐analysis. World psychiatry, 13(3), pp.288-295. DOI: 10.1002/wps.20151.

[6] Andersson, G., Titov, N., Dear, B.F., Rozental, A. and Carlbring, P., 2019. Internet‐delivered psychological treatments: From innovation to implementation. World Psychiatry, 18(1), pp.20-28.

[7] Brynjolfsson, E. and Hitt, L.M., 2000. Beyond computation: Information technology, organizational transformation and business performance. Journal of Economic perspectives, 14(4), pp.23-48.

[8] Bucci, S., Schwannauer, M. and Berry, N., 2019. The digital revolution and its impact on mental health care. Psychology and Psychotherapy: Theory, Research and Practice, 92(2), pp.277-297. DOI: 10.1016/j.psych.2019.04.002.

[9] Cuijpers, P., Marks, I.M., van Straten, A., Cavanagh, K., Gega, L. and Andersson, G., 2009. Computer‐aided psychotherapy for anxiety disorders: A meta‐analytic review. Cognitive behaviour therapy, 38(2), pp.66-82. DOI: 10.1080/16506070903318960.

[10] Davenport, T. and Kalakota, R., 2019. The potential for artificial intelligence in healthcare. Future healthcare journal, 6(2), p.94.

[11] Eyo-Udo, N.L., Odimarha, A.C. and Ejairu, E. (2024) ‘Sustainable and ethical supply chain management: The role of HR in current practices and future directions, ‘Magna Scientia Advanced Research and Reviews, 10(2), pp. 181–196. https://doi.org/10.30574/msarr.2024.10.2.0058.

[12] Firth, J., Torous, J., Nicholas, J., Carney, R., Pratap, A., Rosenbaum, S. and Sarris, J., 2017. The efficacy of smartphone‐based mental health interventions for depressive symptoms: a meta‐analysis of randomized controlled trials. World Psychiatry, 16(3), pp.287-298.

[13] Guide, P.M.B.O.K., 2008. A guide to the project management body of knowledge.

[14] Henderson, J.C. and Venkatraman, H., 1999. Strategic alignment: Leveraging information technology for transforming organizations. IBM systems journal, 38(2.3), pp.472-484.

[15] Hollis, C., Falconer, C.J., Martin, J.L., Whittington, C., Stockton, S., Glazebrook, C. and Davies, E.B., 2017. Annual Research Review: Digital health interventions for children and young people with mental health problems–a systematic and meta‐review. Journal of Child Psychology and Psychiatry, 58(4), pp.474-503.

[16] Kaplan, R.S. and Norton, D.P., 2006. Alignment: Using the balanced scorecard to create corporate synergies. Harvard Business Press.

[17] Kazdin, A.E. and Blase, S.L., 2011. Rebooting psychotherapy research and practice to reduce the burden of mental illness. Perspectives on psychological science, 6(1), pp.21-37.

[18] Kotter, J.P., 2007. Leading change: Why transformation efforts fail. In Museum management and marketing (pp. 20-29). Routledge.

[19] Luxton, D.D., June, J.D. and Fairall, J.M., 2012. Social media and suicide: a public health perspective. American journal of public health, 102(S2), pp.S195-S200. DOI: 10.2105/AJPH.2010.300608.

[20] Luxton, D.D., McCann, R.A., Bush, N.E., Mishkind, M.C. and Reger, G.M., 2011. mHealth for mental health: Integrating smartphone technology in behavioral healthcare. Professional Psychology: Research and Practice, 42(6), p.505.

[21] Ly, K.H., Trüschel, A., Jarl, L., Magnusson, S., Windahl, T., Johansson, R., Carlbring, P. and Andersson, G., 2014. Behavioural activation versus mindfulness-based guided self-help treatment administered through a smartphone application: a randomised controlled trial. BMJ open, 4(1), p.e003440. DOI: 10.1016/j.brat.2013.04.006

[22] Mohr, D.C., Weingardt, K.R., Reddy, M. and Schueller, S.M., 2017. Three problems with current digital mental health research... and three things we can do about them. Psychiatric services, 68(5), pp.427-429.

[23] Nielsen, J., 1994. Usability engineering. Morgan Kaufmann.

[24] Noe, R.A. and Kodwani, A.D., 2018. Employee training and development, 7e. McGraw-Hill Education.

[25] Norman, D.A. and Draper, S.W., 1986. User centered system design; new perspectives on human-computer interaction. L. Erlbaum Associates Inc..

[26] Odimarha, A.C., Ayodeji, S.A. and Abaku, E.A. (2024b) ‘Securing the digital supply chain: Cybersecurity best practices for logistics and shipping companies, ‘World Journal of Advanced Science and Technology, 5(1), pp. 026–030. https://doi.org/10.53346/wjast.2024.5.1.0030.

[27] Parmenter, D., 2015. Key performance indicators: developing, implementing, and using winning KPIs. John Wiley & Sons.

[28] Porter, M.E. and Heppelmann, J.E., 2014. How smart, connected products are transforming competition. Harvard business review, 92(11), pp.64-88.

[29] Torous, J., Rodriguez, J. and Powell, A., 2017. The new digital divide for digital biomarkers. Digital biomarkers, 1(1), pp.87-91.

[30] Urbach, N. and Müller, B., 2012. The updated DeLone and McLean model of information systems success. Information Systems Theory: Explaining and Predicting Our Digital Society, Vol. 1, pp.1-18.

[31] Vallury, K.D., Jones, M. and Oosterbroek, C., 2015. Computerized cognitive behavior therapy for anxiety and depression in rural areas: a systematic review. Journal of medical Internet research, 17(6), p.e139. DOI: 10.2196/jmir.4145.

[32] Ventola, C.L., 2014. Mobile devices and apps for health care professionals: uses and benefits. Pharmacy and Therapeutics, 39(5), p.356.

[33] Weill, P. and Ross, J.W., 2004. IT governance: How top performers manage IT decision rights for superior results. Harvard Business Press.

[34] Wickersham, A., Petrides, P.M., Williamson, V. and Leightley, D., 2019. Efficacy of mobile application interventions for the treatment of post-traumatic stress disorder: a systematic review. Digital Health, 5, p.2055207619842986. DOI: 10.1177/2055207618771413.

@article{1706748,
      author = {Richard Okon, Chinekwu Somtochukwu Odionu, Bernadette Bristol-Alagbariya},
      title = {Integrating Technological Tools in HR Mental Health Initiatives},
      journal = {Iconic Research And Engineering Journals},
      year = {2024},
      volume = {8},
      number = {6},
      pages = {554-573},
      issn = {2456-8880},
      url = {https://www.irejournals.com/formatedpaper/1706748.pdf},
      abstract = {This review paper examines the integration of technological tools in Human Resources (HR) mental health initiatives, focusing on the application and effectiveness of digital platforms in enhancing workplace mental health support. The paper systematically reviews existing literature on the deployment of wellness apps, teletherapy services, and AI-driven analytics within corporate HR strategies aimed at mental health. The analysis reveals that technological tools significantly enhance the accessibility and effectiveness of mental health resources in the workplace. These tools facilitate timely mental health interventions and promote greater autonomy and privacy for employees seeking support, which, in turn, increases engagement and reduces stigma associated with mental health discussions. AI-driven analytics are particularly highlighted for their capability to predict potential mental health crises, allowing for preemptive action. The paper concludes that technological integration in HR mental health initiatives is not only beneficial but also essential in modern organizational contexts. It proposes that continuous advancements in technology be leveraged to tailor mental health support to individual employee needs and to foster an inclusive, supportive work environment. Recommendations for future research include exploring the long-term impacts of such integrations on overall organizational health and the potential ethical considerations of data privacy and management.},
      keywords = {Mental Health Initiatives, Human Resources Technology, Digital Mental Health Tools, Workplace Well-being, Online Therapy Platforms, Wearable Health Devices, Artificial Intelligence in HR, Predictive Analytics, Employee Privacy and Data Security, Technological Integration in HR, Virtual Reality Therapy, Mobile Health Applications, HR Data Analytics, Employee Engagement Strategies, Mental Health Support Systems.},
      month = {December},
  }