The starting point of this reflection is psycho sociological: How has digitalization impacted the skills of today's Managers to effectively honor their roles and responsibilities, and how much this opacity is related to psychosocial risks that Managed employees are increasingly exposed to in this work environment? Although companies heavily rely on improving working conditions, the question of the human relationship in the Manager/Managed hierarchical setting is still very taboo, certainly for issues of power and collateral damages, but also probably because ways to objectify the interaction at the individual level are yet to be experimented. Moreover, in this world of performance and the unlimited universe of Big Data, what is important is what can be measured.

1. TOULOUSE BUSINESS SCHOOL
1 Place Alphonse Jourdain - CS 66810, 31068 TOULOUSE Cedex 7, FRANCE
Tél. : + 33 (0)5 61 29 49 49
TOULOUSE SCHOOL OF MANAGEMENT DOCTORAL PROGRAMME
Ecole Doctorale Sciences de Gestion de l'Université de Toulouse 1 Capitole
2 rue du doyen Gabriel Marty - J301, 31042 Toulouse - FRANCE
Tél. : +33 (0)5 61 63 38 62
Email : doctoral.programme@tsm-education.fr
DEPARTEMENT
FACULTE DES SYTEMES D’NIFORMATION (IS)
BIG DATA ANALYTICS
Proposition de projet de recherche / Version 1/ Juin 2018
Sarah FEBRISSY, BAA/DESS/MS
A l’attention de Professeur Samuel FOSSO WAMBA, PhD/HDR
TBS Research Center / TOULOUSE BUSINESS SCHOOL
Fabienne Sarah FEBRISSY
21 Rue Glesener, L-1631 Luxembourg, LUXEMBOURG
Tél : + 352 691 77 19 09 / + 33 590 690 49 71 81
Email : Sarah.Febrissy@yahoo.com
LinkedIn : https://www.linkedin.com/in/sarahfebrissy/
Research Project
Proposal, PhD
TOULOUSE BUSINESS SCHOOL
FACULTY OF INFORMATION SYSTEMS
TOULOUSE SCHOOL OF MANAGEMENT
HUMAN RESOURCE MANAGEMENT
BIG
DATA
ANALYTICS
Sarah FEBRISSY (BAA/DESS/MSc.)
Under supervision of Professor FOSSO WAMBA (PhD/HDR)
18/06/2018
HOW TO APPLY DATA ANALYTICS
TO THE HUMAN RELATIONS MANAGEMENT PRACTICES,
IN AN ORGANIZATIONAL ENVIRONMENT?
FOCUS ON THE MANAGER/MANAGED RELATIONSHIPS

2. ©Sarah Febrissy/June 2018 Page 2
TOULOUSE BUSINESS SCHOOL
1 Place Alphonse Jourdain - CS 66810, 31068 TOULOUSE Cedex 7, FRANCE
Tél. : + 33 (0)5 61 29 49 49
TOULOUSE SCHOOL OF MANAGEMENT DOCTORAL PROGRAMME
Ecole Doctorale Sciences de Gestion de l'Université de Toulouse 1 Capitole
2 rue du doyen Gabriel Marty - J301, 31042 Toulouse - FRANCE
Tél. : +33 (0)5 61 63 38 62
Email : doctoral.programme@tsm-education.fr
DEPARTMENT
FACULTY OF INFORMATION SYSTEMS (IS)
BIG DATA ANALYTICS
Fabienne Sarah FEBRISSY
21 Rue Glesener, L-1631 Luxembourg, LUXEMBOURG
Tel : + 352 691 77 19 09 / + 33 590 690 49 71 81
Email : Sarah.Febrissy@yahoo.com
LinkedIn : https://www.linkedin.com/in/sarahfebrissy/

3. ©Sarah Febrissy/June 2018 Page 3
RESEARCH PROJECT SUBJECT
KEY WORDS

4. ©Sarah Febrissy/June 2018 Page 4
SOMMAIRE
RESUME................................................................................................................................................ 4
I. INTRODUCTION .......................................................................................................................... 5
II. METHODOLOGICAL LEADS..................................................................................................... 6
III. CONCLUSION............................................................................................................................... 7
RESUME
The starting point of this reflection is psycho sociological: How has digitalization impacted the
skills of today's Managers to effectively honor their roles and responsibilities, and how much
this opacity is related to psychosocial risks that Managed employees are increasingly
exposed to in this work environment?
Although companies heavily rely on improving working conditions, the question of the human
relationship in the Manager/Managed hierarchical setting is still very taboo, certainly for
issues of power and collateral damages, but also probably because ways to objectify the
interaction at the individual level are yet to be experimented.
Moreover, in this world of performance and the unlimited universe of Big Data, what is
important is what can be measured.
The evolutions of information systems capacities, as well as the growing contributions of the
Data Analytics domain, especially in Customer Analytics, and lately People & Talent
Analytics, give us hope to draw knowledge and tools applicable to the problematic exposed.
In addition, with the coming of Artificial Intelligence and fields of expertise such as Digital
Humanities, this project aims to develop methods of Measurement and Management of
Human Relations.
Thanks to the applied research field, in placing these developments in a rigorous framework,
the experts of the working world will have both objective and ethical support to engage and
empower their management practices, and therefore show more willingness to improve the
socio-economic dynamics of their environment, for governance and even more legislation
and compliance.

5. ©Sarah Febrissy/June 2018 Page 5
I. INTRODUCTION
Being able to manage the integration the Human Relationship Quality concern in the Big
Data universe, is a tremendous opportunity to pursue the efforts of effectively taking into
account the human capital factor within the organizations, beyond the marketing trends,
operational settings and projects, as well as quantitative performance requirements; which is
possible in the field of Data Analytics applied to Human Resource Managementi
:
It is also a major challenge, which must be added to the priorities of Information Systems
Integration projects for recruitment and employee management (HRSI).
Although Data is already used for KPIs and performance management, their "Predictive" and
"Prescriptive" exploitations are in their early stages; probably because of negative perception
about "micromanagement”, and also the various bias and regressions which should be taken
into account. The field of Customer Analyticsii
provides us with an interesting framework and
likely transferable models.

6. ©Sarah Febrissy/June 2018 Page 6
II. METHODOLOGICAL LEADS
 Acquiring knowledge on relevant areas through online courses
 State of the Art of subject matter (literature reviewiii
started with Google Scholar for
scientific sources)
 Benchmarking of current trends in the professional world and diagnosis with the
’consultant toolbox’
 Establishment of working hypotheses and elaboration of the pilot project (preferably
Toulouse/Luxembourg)
 Framing and validation of the subject in regards to the theoretical field and
methodology: competences to be developed with TSM/TBS coursesiv

7. ©Sarah Febrissy/June 2018 Page 7
III. CONCLUSION
This research project is ambitioning ‘a better Management of People in this Digital Age’
by embedding a strong scientific impulse, so that DATA ANALYTICS is also to the SERVICE
OF THE HUMAN’, not only as a niche or a resource, but from a Human being perspective.
Apprehending this project with an international ‘co-guardianship’ (possibly joint
TBS/University of Luxembourg PhD), and with public/private enterprise partnerships (see
financing options), will give full meaning and wide visibility to the Applied Research, and to
the active collaboration effectiveness between university communities and professionals.
Moreover, this will allow more significant mobilization about ethic and efficiency managing
Humans through Relationships, and this, to the benefits of the labor market and also the
mental health of its stakeholders.
In the near future, I wish to dedicate myself to this dense but unsaid problematic, by actively
involving in the life of the University and promoting the value of academic knowledge across
the professional world.
i PEOPLE ANALYTICS course synthesis / University Of Pennsylvania / June 2018
ii CUSTOMER ANALYTICS course synthesis / University Of Pennsylvania / June 2018
iii Thematic LITERATURE REVIEW: HRM Analytics, Data Analytics Benchmarking, People Analytics, HRM, Management
Practices, Human Relations, Management, Research Methods, Research Tools, Labor Market Management Trends,
DRD/TBS/TSM,...
iv Tools and technical needs knowledge provided by the TSM/TBS DOCTORAL PROGRAM : « Reading research paper,
Qualitative data analysis, Experimental methods, English for presenting and publishing, Library resources »