Recent trends in deep learning based personality detection
Recently, the automatic prediction of personality traits has received a lot of attention.
Specifically, personality trait prediction from multimodal data has emerged as a hot topic …
Specifically, personality trait prediction from multimodal data has emerged as a hot topic …
Into the void: A conceptual model and research agenda for the design and use of asynchronous video interviews
Asynchronous video interviews (AVIs) are a form of one-way, technology-mediated,
selection interviewing that continue to grow in popularity. An AVI is a broad method that …
selection interviewing that continue to grow in popularity. An AVI is a broad method that …
Allying with AI? Reactions toward human-based, AI/ML-based, and augmented hiring processes
While many organizations' hiring practices now incorporate artificial intelligence (AI) and
machine learning (ML), research suggests that job applicants may react negatively toward …
machine learning (ML), research suggests that job applicants may react negatively toward …
[HTML][HTML] Integrating machine learning with human knowledge
Machine learning has been heavily researched and widely used in many disciplines.
However, achieving high accuracy requires a large amount of data that is sometimes …
However, achieving high accuracy requires a large amount of data that is sometimes …
From reality to world. A critical perspective on AI fairness
Abstract Fairness of Artificial Intelligence (AI) decisions has become a big challenge for
governments, companies, and societies. We offer a theoretical contribution to consider AI …
governments, companies, and societies. We offer a theoretical contribution to consider AI …
Bottom-up and top-down: Predicting personality with psycholinguistic and language model features
State-of-the-art personality prediction with text data mostly relies on bottom up, automated
feature generation as part of the deep learning process. More traditional models rely on …
feature generation as part of the deep learning process. More traditional models rely on …
A comprehensive survey of artificial intelligence techniques for talent analytics
In today's competitive and fast-evolving business environment, it is a critical time for
organizations to rethink how to make talent-related decisions in a quantitative manner …
organizations to rethink how to make talent-related decisions in a quantitative manner …
Introducing a multi-stakeholder perspective on opacity, transparency and strategies to reduce opacity in algorithm-based human resource management
Artificial Intelligence and algorithmic technologies support or even automate a large variety
of human resource management (HRM) activities. This affects a range of stakeholders with …
of human resource management (HRM) activities. This affects a range of stakeholders with …
“Where's the IO?” Artificial intelligence and machine learning in talent management systems
Artificial intelligence (AI) and machine learning (ML) have seen widespread adoption by
organizations seeking to identify and hire high-quality job applicants. Yet the volume …
organizations seeking to identify and hire high-quality job applicants. Yet the volume …
The impact of HRM digitalization on firm performance: investigating three‐way interactions
Y Zhou, G Liu, X Chang, L Wang - Asia Pacific Journal of …, 2021 - Wiley Online Library
In this study, drawing from adaptive structuration theory (AST) and embeddedness theory,
we investigate the relationship between the interaction of HRM digitalization and HRM …
we investigate the relationship between the interaction of HRM digitalization and HRM …