Artificial intelligence and bank credit analysis: A review

H Sadok, F Sakka, MEH El Maknouzi - Cogent Economics & …, 2022 - Taylor & Francis
This article teases out the ramifications of artificial intelligence (AI) use in the credit analysis
process by banks and other financing institutions. The unique features of AI models, coupled …

Role of HR analytics and attrition on organisational performance: a literature review leveraging the SCM-TBFO framework

PR Kiran, A Chaubey, RK Shastri - Benchmarking: an international …, 2024 - emerald.com
Purpose The research paper aims to analyse the scholarly literature on advancing HR
analytics as an intervention for attrition, a problem that lingers on organisational …

21st century HR: a competency model for the emerging role of HR Analysts

S McCartney, C Murphy, J Mccarthy - Personnel review, 2021 - emerald.com
Purpose Drawing on human capital theory and the human capital resources framework, this
study explores the knowledge, skills, abilities and other characteristics (KSAOs) required by …

Examining the dark side of human resource analytics: an empirical investigation using the privacy calculus approach

S Chatterjee, R Chaudhuri, D Vrontis… - International Journal of …, 2022 - emerald.com
Purpose The purpose of this study is to explore the negative consequences of human
resource analytics applications using the privacy calculus approach. Design/methodology …

Measure what matters: descriptive and predictive metrics of HRM-pathway toward organizational performance

R Pillai, B Sivathanu - International Journal of Productivity and …, 2022 - emerald.com
Purpose To understand human resource (HR) practices outcomes on HR decision making,
strategic human resource management (HRM) and organizational performance by exploring …

Data-driven automated decision-making in assessing employee performance and productivity: designing and implementing workforce metrics and analytics

D Wingard - Psychosociological Issues in Human Resource …, 2019 - ceeol.com
Despite the relevance of data-driven automated decision-making in assessing employee
performance and productivity, only limited research has been conducted on this topic. Using …

Determinants and drivers of change for digital transformation and digitalization in human resource management: a systematic literature review and conceptual …

S Poulose, B Bhattacharjee, A Chakravorty - Management Review …, 2024 - Springer
Post-pandemic, all business functions have undergone large-scale digitalization and
transformation. Notably, the human resource function has taken a prominent role in this …

The algorithmic governance of data driven-processing employment: Evidence-based management practices, artificial intelligence recruiting software, and automated …

G Bekken - Psychosociological Issues in Human Resource …, 2019 - ceeol.com
Based on an in-depth survey of the literature, the purpose of the paper is to better
understand the relationship between evidence-based management practices, artificial …

Big data-driven algorithmic decision-making in selecting and managing employees: Advanced predictive analytics, workforce metrics, and digital innovations for …

TD Meyers, L Vagner, K Janoskova, I Grecu… - … Issues in Human …, 2019 - ceeol.com
Employing recent research results covering big data-driven algorithmic decision-making in
selecting and managing employees, and building our argument by drawing on data …

Big data analytics in human resource management: Automated decision-making processes, predictive hiring algorithms, and cutting-edge workplace surveillance …

B Noack - Psychosociological Issues in Human Resource …, 2019 - ceeol.com
This paper analyzes the outcomes of an exploratory review of the current research on big
data analytics in human resource management. The data used for this study was obtained …