AI: the HR revolution
Abstract
Purpose: Artificial intelligence (AI) and robotics are already here, influencing almost every single industry in one way or another. Organisational scientists at Qlearsite use AI and machine learning to unleash the business potential languishing in workforce data – something previously unusable because of its format. This paper aims to track the initial implementation of AI up to present day, based on Qlearsite’s corporate experience. Design/methodology/approach: Using actual experiences, Qlearsite were tasked with demonstrating how businesses can better understand their workforce, identify performance hurdles and develop strategies to clear them, ultimately improving productivity. Findings: While initial implementation strategies may have faced challenges by senior human resources (HR) members across industries, the multiple benefits are evident and measurable against corporate success and productivity levels today. Originality/value: Where HR leaders and senior decision-makers struggle to solve ongoing issues, such as absenteeism, an acute problem for the financial services industry. This paper demonstrates the true value of AI, with complex issues solved by data analysis – a monumental and expensive task for any employee to carry out.
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With advances in technological and algorithmic innovations, the problem has shifted from collecting huge volumes of data, turning data into knowledge and conclusions, to understanding how AI algorithms generate these conclusions.
“we also find that with advances in technological and algorithmic innovations, the problem has shifted from collecting huge volumes of data, turning data into knowledge and conclusions (Kersting and Meyer, 2018), to understanding how AI algorithms generate these conclusions (Gulliford and Dixon, 2019).”
From Unlocking the value of artificial intelligence in human resource management through AI capability framework (2023) · cites this paper as Gulliford and Dixon, 2019
Cited by
Sorted by citations
Chowdhury, S., Dey, P., Joel-Edgar, S., Bhattacharya, S., Rodriguez-Espindola, O., Abadie, A., & Truong, L. (2023) · Human Resource Management Review · doi:10.1016/j.hrmr.2022.100899 · Cited by 927 · see citing works
- Authors
- Gulliford, F., & Parker Dixon, A.
- Venue
- Strategic HR Review
- Publisher
- Emerald
- Published
- 2019-04-08
- Volume
- 18
- Issue
- 2
- Pages
- 52-55
- ISSN
- 1475-4398 (ISSN-L)
- OpenAlex
- W2934681535
- Cited by
- 44
- References
- 0
- Citations by year
- 2026: 5 · 2025: 5 · 2024: 12 · 2023: 8 · 2022: 9 · 2021: 5
- FWCI
- 4.54
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Strategic HR Review (publishedVersion)
- Topics
- Social Sciences › Business, Management and Accounting › Organizational Behavior and Human Resource Management › AI and HR Technologies
- Social Sciences › Decision Sciences › Management Science and Operations Research › Impact of AI and Big Data on Business and Society
- Physical Sciences › Computer Science › Artificial Intelligence › Artificial Intelligence Applications
- Keywords
- artificial intelligence in human resource management, machine learning, absenteeism, productivity improvement, financial services, HR decision-making, AI implementation challenges, employee performance
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