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Behnam Zendehdel Nobari is a PhD Candidate in Management (Marketing) at ISCTE Business School, University Institute of Lisbon, and a PhD Fellow at the Business Research Unit (BRU). His doctoral research focuses on data-driven decision-making and human–AI interaction in marketing, with particular emphasis on how AI-based recommendations and advisory chatbots influence relationship dynamics, customer well-being, and communication strategies. Alongside his doctoral research, his recent academic work has focused on the identification, classification, and management of artificial intelligence risks in organizational and workforce contexts, employing empirical and systems-based analytical approaches. Building on this foundation, his research interests extend to AI-driven marketing analytics, relationship marketing, Python-based data analysis, and data mining. In parallel, he has contributed to the conceptual design of applied artificial intelligence initiatives in pharmaceutical marketing intelligence, agricultural supply chain optimization, and organizational risk assessment. Notably, the agricultural AI solution he designed was accepted for pilot implementation within the AGRIFOOD4FUTURE Open Innovation and Challenge-Based Program and selected for execution at Monte Silveira Farm (Portugal). Behnam brings over 18 years of professional experience across construction, manufacturing, energy, real estate, and marketing sectors in the Middle East and Europe, which strongly informs his applied and interdisciplinary research perspective. He is a recipient of the 2024–2025 Development of Pedagogical and Scientific Skills Grant at ISCTE Business School, supporting his academic development and research excellence.
Identification

Personal identification

Full name
Behnam Zendehdel Nobari

Citation names

  • Nobari, Behnam Zendehdel

Author identifiers

Ciência ID
1617-2526-3B12
ORCID iD
0009-0009-6000-8294
Google Scholar ID
https://www.researchgate.net/profile/Behnam-Zendehdel-Nobari?ev=hdr_xprf

Telephones

Mobile phone
  • (+351) 915528329 (Professional)

Websites

Knowledge fields

  • Social Sciences - Economics and Business - Business and Management

Languages

Language Speaking Reading Writing Listening Peer-review
English Proficiency (C2) Proficiency (C2) Advanced (C1) Proficiency (C2) Advanced (C1)
Education
Degree Classification
2023/01/01 - 2027/01/01
Ongoing
Management (Doutoramento)
ISCTE-Instituto Universitário de Lisboa, Portugal
2016/01/01 - 2018/01/01
Concluded
Executive Management (Mestrado)
Major in Marketing
ISEG Lisbon School of Economics and Management, Portugal
"The Relationship between Marketing Strategies and Company Performance with the Moderating Role of Organizational Culture - Case Study: IKD Automotive Manufacturing (Iran)" (THESIS/DISSERTATION)
2007/01/01 - 2010/01/01
Concluded
Mechanical Engineering (Licenciatura)
Takestan Islamic Azad University , Iran
Affiliation

Others

Category
Host institution
Employer
2025/03/01 - Current Research Assistant ISCTE Business School, Portugal
ISCTE Business School, Portugal
Outputs

Publications

Conference abstract
  1. Nobari, Behnam. "Unmasking, Classifying and Managing the Hidden Risks of Artificial Intelligence (AI) in the Future Workforce: A Soft Systems Methodology (SSM) Approach". 2025.
    Published
Conference paper
  1. Zendehdel Nobari, Behnam; Babak Zendehdel Nobari. "Unmasking Hidden Risks of AI in the Future Workforce: A Soft Systems Methodology (SSM) Approach". Paper presented in Book of abstracts, --, 2025.
    Published

Other

Other output
  1. Beyond Awareness: Managing Workforce-Related AI Risks in the National Library and Archives of Iran (NLAI) Using Importance–Performance Analysis (IPA). International Federation of Library Associations and Institutions (IFLA). 2025. Behnam Zendehdel Nobari; Babak Zendehdel Nobari. https://repository.ifla.org/items/b3b59800-3c68-4307-8f95-97c7d0eb2a52.
Activities

Oral presentation

Presentation title Event name
Host (Event location)
2025/06/27 Mapping Relationship Dynamics in Marketing: A Text-Mining Approach for Human–AI Interaction Studies
ISCTE (Lisbon, Portugal)
2025/06/10 Mapping Relationship Dynamics in Marketing: A Text-Mining Approach for Human–AI Interaction Studies
Universidad de Zaragoza (Online, Spain)
2025/03/27 Unmasking, Classifying and Managing the Hidden Risks of Artificial Intelligence (AI) in the Future Workforce: A Soft Systems Methodology (SSM) Approach
ISCTE (Online, Portugal)
Distinctions

Award

2025 Scholarships for the Development of Pedagogical and Scientific Skills
ISCTE Business School, Portugal