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1ST EIASM WORKSHOP ON PEOPLE ANALYTICS & ALGORITHMIC MANAGEMENT (PAAM)


DUBLIN, IRELAND, JUNE 30-JULY 1, 2022
CO-ORGANIZED WITH

                                                                  

CHAIRPERSONS



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


Prof. Andy Charlwood
University of Leeds, UK 




Dr. Jeroen Meijerink
University of Twente, The Netherlands 
 

 

KEYNOTE SPEAKER




Antonio Aloisi 
IE Law School
Madrid, Spain

OVERVIEW

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 this phenomenon, which involves 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 to the proper boundaries of certain disciplines. On the one hand, there is a growing scholarship on this topic in management subject areas, primarily, human resource management, work and organisational psychology, organization studies and business analytics. On the other hand, research contributions in other disciplines such as sociology, law and philosophy have shed solid insights around those social implications attached to the use of 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, law and philosophy. 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.

CALL FOR PAPERS

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. 
 
Abstract submission closed

DEADLINES

A 3-page abstract: April 8, 2022 (extended)
Notification: as of April 25, 2022 
Registration of authors: tba
Deadline for full papers: June 3, 2022 - full papers or a 5-page abstract.

SUBMISSION GUIDELINES

Step 1 - Abstracts

A 3 page abstract (not including references) is expected. 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.

PRACTICALITIES

VENUE
UCD Michael Smurfit Graduate Business School
Carysfort Avenue, Blackrock, Co Dublin
A94 XF34
Ireland

FEES

  • 285 Euro + 23% Irish VAT for EIASM Academic members. You can check here if your school is a current member here 
  • 345 Euro + 23% Irish VAT for regular participants (non-members). 

Fees include: participation to the workshop, workshop documents, coffee breaks, 2 lunches, one group dinner.

Registration procedure will be sent to authors by email mid-May.

DOWNLOAD LIST OF PARTICIPANTS

ADMINISTRATION

Ms. Cristina Setyar - EIASM Conference Manager
EIASM - RUE FOSSÉ AUX LOUPS - 38 - BOX 3 - 1000 BRUSSELS - BELGIUM
Tel: +32 2 226 66 69 - Fax:
Email: setyar@eiasm.be