• Laura Lamers (University of Twente, The Netherlands)
• Simon Schafheitle (University of Twente, The Netherlands)
• Maarten Renkema (University of Twente, The Netherlands)
• Gea Nijland (University of Twente, The Netherlands)
The academic programme starts on June 12th at 9 am and ends on June 13th at around 4 pm.
With the increasing interest and use of people analytics and algorithmic management (PAAM), and more broadly the use of artificial intelligence (AI) at work, this workshop aims to provide a forum for academic debate to advance our knowledge of these phenomena, which involve the use of data, artificial intelligence and analytics to drive strategy and algorithms that can augment and/or automate people-related decision making in areas such as recruitment and selection, training, appraisal, compensation, and workforce planning. This forum will serve researchers as a flourishing and growing community where a greater theory-informed scholarship is developed. The PAAM workshop is designed to bring together leading and emerging scholars working in the area of PAAM across these various disciplines in the social sciences, humanities and engineering sciences. We therefore would like to emphasise the multidisciplinary nature of this forum and hence, we welcome contributions from a diverse array of management subject areas such as human resource management and employment relations, work and organisational psychology, business analytics, information systems, organization studies and business ethics as well as from other disciples such as sociology, economics, law, philosophy and computer science. We believe a multi-disciplinary approach will help us advance the field to provide scientific evidence for an effective and socially responsible use of analytics and algorithms for making people-related decisions at work and optimizing organizational processes, taking into account a diverse group of stakeholders in the organisation. The workshop has a strong developmental focus and as such, encourages research which may be in progress as well as completed research.
We invite papers from a wide range of disciplinary traditions that explore Analytics, Algorithms and Artificial Intelligence at work and in people management processes from both theoretical and practical perspectives, and we encourage papers which are multi-disciplinary and cross-disciplinary in nature. We welcome theoretical pieces as well as empirical papers from both qualitative and quantitative traditions.
Topics of interest include (but are not limited to) the following:
A 3-page abstract: September 22, 2024
Step 1 - Abstracts A 3 page abstract (not including references) is expected by September 22nd. All abstracts must be in English. A full paper or a 5-page abstract is required. Each presentation will have discussants. It is important that the discussants will have access to the submitted final papers and extended abstracts well in advance.
Fees For EIASM members - 295 Euro + 21% VAT Recommended hotels
ADMINISTRATION Mr. Pavlos Dimitrakos - EIASM Conference ManagerEIASM - RUE FOSSÉ AUX LOUPS - 38 - BOX 3 - 1000 BRUSSELS - BELGIUM Tel: - Fax: Email: pavlos.dimitrakos@eiasm.be |