The role of reskilling programmes on the digital transformation at a large financial services organisation

Author:

Mahohoma TinayeORCID,Aaron Theodore Silvanus

Abstract

The primary goal of this study was to examine the role of reskilling programmes on digital transformation at a Large Financial Services Organisation. The business climate and the world of work are going through an unprecedented large-scale transition - such as the transition from the agricultural economy to the industrial revolution. The era of digitisation, automation and acceleration is upon us. The society is in an economy where new critical skills have emerged and these new emerging skills have become necessary for individuals, businesses, and the economy to succeed. However, very little research has been done on the role of reskilling programmes on the digital transformation at a Large Financial Services Organisation. The study employed quantitative research and a structured closed questionnaire was used to collect field data from a selected sample of 88 respondents drawn from a target population in the study area. The field data were analysed using the Statistical Package for Social Sciences (SPSS), version 29. Statistical tools, including frequency tables, pie charts, and graphs, were used to analyse data. The study findings indicate that jobs have been significantly affected by digital transformation and new emerging job functions in large financial services organisations. A digital transformation programme had a direct relationship with the implementation of reskilling programmes. The study recommended that designing technology-focused training programmes appropriately and selecting or creating technology-focused training programmes with essential elements are necessary for successful outcomes.

Publisher

Center for Strategic Studies in Business and Finance SSBFNET

Reference46 articles.

1. Abdallah, S., Al Azzam, B., El Nokiti, A., Salloum, S., Aljasmi, S., Aburayya, A., & Shwedeh, F. (2022). A COVID-19 quality prediction model based on IBM Watson machine learning and artificial intelligence experiment. Computer Integrated Manufacturing Systems, 28(11), 499-518.

2. Accenture. (2021). Digital banking redefined in 2021. Retrieved from https://www.deloittedigital.com/us/en/offerings/next-gendigital- (Accessed: 19 December 2023).

3. Agrawal, A., Gans, J. S., & Goldfarb, A. (2017). What to expect from artificial intelligence. MIT Sloan Management Review, 58(3), 23-26.

4. Al Remeithi, A. A., & Ahmad, S. Z. (2020). The crown prince court’s training and career development section: Managing training for its employees. Emerald Emerging Markets Case Studies, 10(1). https://doi.org/10.1108/EEMCS-08-2019-0213.

5. Bell, E., Bryman, A., & Harley, B. (2022). Business research methods. Oxford University Press.

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3