Homepage Contact us Sitemap

LEEDS, UK, JUNE 21-22, 2023


Dr. Maria J. Belizon
UCD College of Business, Ireland

Prof. Andy Charlwood
University of Leeds, UK 

Dr. Jeroen Meijerink
University of Twente, The Netherlands 



Dr Nigel Guenole,
Goldsmiths University of London, UK

“AI for talent management: opportunities, challenges and the path forward”


The academic programme starts on June 21st at 9 am and ends on June 22nd at around 4 pm. In the evening of June 21st a group dinner is organised.

Final programme


With the increasing interest and use of people analytics and algorithmic management (PAAM), in recent years, this workshop aims to provide a forum for academic debate in order to advance our knowledge of these phenomena, which involve the use of analytics to drive strategy and algorithms that can augment and/or automate HR-related decision making in areas such as recruitment and selection, training, appraisal, compensation and workforce planning. This forum will serve researchers as a grass-roots community where a greater theory-informed scholarship is developed. 

Existing research on PAAM has been broadly confined existing disciplinary boundaries. There is a growing scholarship on this topic in management subject areas, primarily, human resource management, work and organisational psychology, organization studies, information systems and business analytics. Research in other disciplines as diverse as computer science, economics, sociology, law and philosophy is also providing new insights into the economic and social implications of using algorithms and analytics in people management. 

The PAAM workshop is designed to bring together leading and emerging scholars working in the area of PAAM across disciplines. 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 in order to provide scientific evidence for an effective and socially responsible use of analytics in HR and People Management, 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 in HR and People Management issues 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:
Institutional and contextual factors in the adoption and use of analytics in HR in organisations;
The specific use of analytics and insights in different HR domains (e.g. performance management, recruitment and selection, learning and development, etc.); 
Use of analytics in people management outside HR;
•  A theory-led understanding of HR analytics legitimacy, maturity and impact; 
The role of Analytics for the HR’s legitimacy in organisations;
Growth and development of HR Analytics functions; 
Analytics in HR and People Management in SMEs;
Roles, capabilities and career paths of HR Analytics professionals;
The role of AI-driven HR technologies and solutions in HR and People Management;
The use Analytics insights informing decision-making by non-HR users; 
Users of Analytics in HR and People Management (e.g. HRBPs versus CHRO versus employees vs customers).
Analytics and employee voice; 
Analytics and employee well-being;
Algorithmic management in HR and People Management;
Algorithmic management and precarious work;
Processes and compliance in Analytics in HR and People Management;
Continuous improvement and project management methodologies in HR Analytics;
•  Social and ethical challenges for Analytics in HR and People Management. 


A 3-page abstract: March 3, 2023 
Notification: as of March 15, 2023 
Registration of authors: April 17, 2023
Deadline for full papers: May 15, 2023 - full papers or a 5-page abstract.


Step 1 - Abstracts

A 3 page abstract (not including references) is expected by March 3rd. All abstracts must be in English.

Step 2 - For Accepted authors

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.


PhD students and early career researchers (within 3 years of completing a PhD or equivalent) who do not have access to institutional support to pay the costs of participation and expenses can apply for bursaries. The decision of the number of bursaries awarded and the amount is entirely at the discretion of the organisers and will be announced to applicants at the acceptance moment.

How to apply for a bursary:

  • Submit a 3 page abstract (not including references) by March 3rd via the online submission platform;
  • Send an email to setyar@eiasm.be by March 3rd confirming that you are a PhD student or an early career researcher (within 3 years of completing a PhD or equivalent) and that you do not have access to institutional support to pay the costs of participation and expenses and that you would not be able to afford to participate without the bursary.


Maurice Keyworth Building, Clarendon Road, Leeds, UK


For participants affiliated with an institution that is member or associate member of the EIASM's
Academic Council
222,00 € (including 37,00 € VAT)
For participants coming from another academic institution 270,00 € (including 45,00 € VAT)

Cancellations made before June 1, 2023 will be reimbursed minus 20% of the total fee. No reimbursement will be possible after that date.

Payments should be made by :

  • The following credit cards: Visa or Eurocard/Mastercard/Access




Ms. Cristina Setyar - EIASM Conference Manager
Tel: +32 2 226 66 69 - Fax:
Email: setyar@eiasm.be