TBMS'2025: International Symposium on Big Data Analytics Technologies for Strategic Management Tunis Tunis, Tunisia, November 6-7, 2025 |
Conference website | https://project.inria.fr/tbms2025/ |
Submission link | https://easychair.org/conferences/?conf=tbms2025 |
Call for Papers TBMS ̓ 2025 : Int. Symposium TBMS'2025 – International Symposium TBMS'2025 on « Big Data Analytics Technologies for Strategic Management »
3d. International Symposium TBMS’2025 on:
Big Data Analytics Technologies for Strategic Management :
Innovation and Competitiveness.
in OCTA’2025 Multi-Conference Event
November 6-7, 2025 Tunis (Tunisia)
Important Dates | Deadline |
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Paper Submission Deadline | August 7th, 2025 |
Notification of Acceptance | September 7th, 2025 |
Final Paper & Camera-Ready Submission | October 7th, 2025 |
Author Registration Deadline | October 15th, 2025 |
CITED’2025 in OCTA’2025 Dates | November 6-7, 2025 |
Best Paper Awards Ceremony | November 7th, 2025 |
TBMS’2025 “ Big-Data-Analytics Technologies for Strategic Management ” :
Innovation, and Competitiveness.
Governments, companies, and organizations are undergoing significant transformations in response to the vast amounts of information generated in today’s digital age. This marks the advent of Big Data and, more recently, Generative Artificial Intelligence (Generative AI). Various economic, industrial, and social actors are fundamentally restructuring their activities around the management and utilization of Big Data, now enhanced by AI-driven generative models. Examples include the emergence of the “Chief Data Officer” in the United States, the “Chief Digital Officer” responsible for the “Government Digital Service” in the United Kingdom, and the “General Data Administrator” in France. These public administrators play a crucial role in ensuring that data is leveraged as a valuable resource, representing both tangible and intangible growth opportunities that have been either unexplored or only partially utilized.
The academic world has embraced Big Data and Generative AI with even greater enthusiasm. Following in the footsteps of pioneering institutions such as the Massachusetts Institute of Technology’s (MIT) Media Lab (established in 1985), many universities have established dedicated research centers focused on the evolving field of Data Science and AI. In the humanities and social sciences, the emergence of “Big Data and Society” seeks to analyze Big Data and AI-driven advancements and their impact on societal structures. These developments highlight the practical implications of Big Data and Generative AI, reconfiguring relationships, expertise, methodologies, concepts, and academic knowledge across various sectors, including social, professional, and business domains.
While Big Data, AI and Generative AI have garnered significant interest, they have also sparked multidisciplinary debate. Not everyone shares the enthusiasm of its proponents. The repeated disclosures of mass surveillance programs have raised concerns in both academic and civil society circles regarding the potential risks associated with these technologies. AI and Big Data can quickly evolve into powerful governance tools, serving economic, political, and ideological interests in an instrumental manner.
We now have access to more data than at any other point in human history. Between 1987 and 2007, global data volumes increased a hundredfold and have since doubled annually on average. This expansion surpasses even the transformative impact of the printing press, which led to a doubling of available data over a period of 50 years.
Comprehensive analysis of extensive datasets, powered by Generative AI, has the potential to fundamentally reshape our understanding of the world. The rise of Big Data and AI contributes to advancing reason and rationality in an increasingly complex environment. Traditionally, the scientific method relies on deriving concrete hypotheses from abstract theories, which are then tested using empirical data. Big Data and AI challenge and extend these epistemological foundations, not to undermine scientific rationality, but to elevate it to a more complex, comprehensive, and accurate interpretation of reality.
In this transdisciplinary context, Big Data and Generative AI enable researchers and practitioners to move beyond predefined analytical categories, allowing data itself to reveal patterns and classifications that more accurately reflect reality.
Submission Guidelines
All papers must be original and not simultaneously submitted to another journal or conference. The following paper categories are welcome:
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Submission link:
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- Conference website
https://project.inria.fr/cited2025/ - Submission link
https://easychair.org/conferences/?conf=cited2025 Manuscripts must follow the IEEE template guidelines, including figures, tables, and references. The paper must be prepared by using the template in MS Word or LaTeX as PDF files through EasyChair System.
IEEE – Manuscript Templates for Conference Proceedings :
–Microsoft Word
- A4 (DOC, 30 KB) Updated 2024
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–LaTeX Template Instructions (PDF, 63 KB) [Be sure to use the template’s conference mode.]
- Template (ZIP, 700 KB) Updated 2024
- LaTeX Bibliography Files (ZIP, 309 KB)
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:Paper Rating
- The Scientific Committee will assess the relevance of each proposal and will propose appropriate changes.
- The acceptance criteria are: originality of the contribution, importance to the community and impact on future scientific work, significance of results and quality of presentation.
- Anti-plagiarism Policy: As part of the anti-plagiarism policy followed by OCTA multi-conference Int. Organization, the papers will be subject to anti-plagiarism software Compilatio (https://www.compilatio.net/).
Committees
Program Committee
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Chairs :
- Sahbi SIDHOM – President, ISKO-Maghreb; University of Lorraine, France
- Anass EL HADDADI – Vice-President, ISKO-Maghreb; National School of Applied Sciences (ENSA), Al-Hoceima, Morocco
- Mohamed ADDAM – National School of Applied Sciences (ENSA), Al-Hoceima, Morocco
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:Members
- ABDELHADI FENNAN – FST, UAE, Tangier, Morocco
- ABDELKAMEL TARI – University of Bejaia, Algeria
- ABDELKHALAK BAHRI – Abdelmalek Essaâdi University, ENSA, Al-Hoceima, Morocco
- AHCENE BOUNCEUR – Bretagne University, Brest, France
- AJITH ABRAHAM – Machine Intelligence Research Labs (MIR Labs), Washington, USA
- ALBERT ZOMAYA – School of Information Technologies, University of Sydney, Australia
- AMINE EL HADDADI – Mohammed V University, Faculty of Sciences, Rabat, Morocco
- AMINA BENGAG – Abdelmalek Essaâdi University, ENSA, Al-Hoceima, Morocco
- ANAND J. KULKARNI – Symbiosis International, Deemed University, India
- BART BAESENS – KU Leuven, Belgium
- BICH TRAN – Centre for Health Research, University of Western Sydney, Australia
- BOUALEM BENATALLAH – UNSW, Australia
- BOUCHRA CHERRADI – Abdelmalek Essaâdi University, ENSA, Al-Hoceima, Morocco
- BOUDAA TARIK – Abdelmalek Essaâdi University, ENSA, Al-Hoceima, Morocco
- BOUHAFER FADWA – Abdelmalek Essaâdi University, ENSA, Al-Hoceima, Morocco
- BONGHEE HONG – Pusan National University, Korea
- DOUGLAS CRAIG C. – University of Wyoming, USA
- ELENI KARATZA – Aristotle University of Thessaloniki, Greece
- FADWA BOUHAFER – Abdelmalek Essaâdi University, ENSA, Al-Hoceima, Morocco
- FAÏCEL CHAMROUKHI – University of Caen, France
- FAZLE BAKI – Odette School of Business, University of Windsor, Canada
- FRANCISCO HERRERA – University of Granada, Spain
- GUO Q.P. – Wuhan University of Technology, China
- HAMIDO FUJITA – Iwate Prefectural University, Japan
- MENGJIE ZHANG – School of Engineering and Computer Science, Victoria University of Wellington, New Zealand
- MOHAMED EL MAROUANI – Abdelmalek Essaâdi University, ENSA, Al-Hoceima, Morocco
- MOHAMED QUAFAFOU – Aix-Marseille University, France
- MOHAMED TARI – University of Bejaia, Algeria
- MOHAMMED BOUHORMA – FST, UAE, Tangier, Morocco
- MOHAND TAHAR KECHADI – University College Dublin, Ireland
- MSIIRDI NACER – Aix-Marseille University, France
- PABLO JOSE VILLACORTA IGLESIAS – Stratio, Madrid, Spain
- PÉTER KACSUK – MTA SZTAKI, Hungary
- RACHID CHERBI – Paris Sud Saclay University, France
- ROY CECIL – IBM Portugal, Portugal
- ROUTAIB HAYAT – Abdelmalek Essaâdi University, ENSA, Al-Hoceima, Morocco
- SARA OUALDCHAIB – Abdelmalek Essaâdi University, ENSA, Al-Hoceima, Morocco
- SCHAHRAM DUSTDAR – Vienna University of Technology, Austria
- THOMAS TSUI – Chinese University of Hong Kong, China
- VINCENT BLONDEL – Université catholique de Louvain, Belgium
- W. XU – Jiangnan University, China
- YASMINA EL MORABIT – Abdelmalek Essaâdi University, ENSA, Al-Hoceima, Morocco
- YI-KE GUO – Imperial College, United Kingdom
Organizing committee
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Chairs :
- Sahbi SIDHOM – President, ISKO-Maghreb; University of Lorraine, France
- Lamia LABED-JILANI – Vice-President ISKO-Maghreb; Higher Institute of Management (ISG), University of Tunis, Tunisia
- Jamel BELHADJ – Director, HIDE – Higher Institute of Documentation, University of Tunis, Tunisia
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Members :
- Sihem BEN SASSI (ENSI University of Manouba, Tunisia)
- Mohamed AYARI (University of Carthage, Tunisia)
- (in progress)
Publication
TBMS'2025 proceedings will be published.
Venue
Venue in Tunis (Tunisia) city :
- Location of the Multi-Conference | Lieu de la Multi-Conférence OCTA & (SIIE, ISKO-Maghreb, CITED & TBMS) : in HIDE Tunis. (MECAM Center)
- Address : Higher Institute of Digital Engineering (HIDE) : Centre Merian pour les études avancées au Maghreb (MECAM) 27, rue Florian, Borj Zouara | 1029 Tunis.
MECAM Center (Merian Centre for Advanced Studies in the Maghreb) :
- 10 minutes walk from the nearest light rail station: Bab Saadoun,
- 20 minutes walk from the Medina, – 8 minutes by car from Habib Bourguiba Avenue,
- 15 minutes by car from Tunis Carthage airport
Contact
All questions about submissions should be emailed to :
- Sahbi SIDHOM (President ISKO-Maghreb & Université de Lorraine, France) : sahbi.sidhom@loria.fr
- Lamia LABED-JILANI (VP ISKO-Maghreb – ISG Université de Tunis, Tunisia) : lamia.labed@isg.rnu.tn
- Jamel BELHADJ (Director of HIDE – University of Tunis, Tunisia) : jamel.belhadj@ensit.rnu.tn