Find Academic Supervisors

• e-learning/m-learning
• virtual communities and social media
• semantic technologies
• +4 more

Andrea Molinari is a Contract Professor at the University of Trento since 1990 and at the Free University of Bozen since 2002. He also serves as a Visiting Professor at Lappeenranta University of Technology (2021-2025) and holds a Docent position in Decision Making at the same institution (2024-2029). Previously, he was an Adjunct Professor at Turku University/Abo Akademi in Finland (2007-2019). Education: 2022: Doctoral Degree - Doctor of Science (Technology), Engineering Science, Software Engineering research field from LUT - Lappeenranta University of Technology. Dissertation: "Integration Between eLearning platforms and Information Systems: a New Generation of Tools for Virtual Communities" 1988: Master Degree in Economics from Università degli Studi di Trento with grade 110/110. Thesis: "P.I.R.S. Personal Information Retrieval Systems" Professor Molinari's research focuses on the intersection of education technology and information systems. His primary areas include e-learning/m-learning systems, virtual communities and social media, semantic technologies and ontologies, data management with AI applications, and Enterprise Project Management. His work bridges theoretical computer science with practical applications in educational and organizational contexts, particularly examining how technology can enhance learning experiences and organizational efficiency. His recent publications reveal a strong emphasis on the evolution of Learning Management Systems in the AI era, integration of semantic technologies with educational platforms, and applications of serious games for professional training. There's a clear trajectory toward more sophisticated, AI-enhanced educational technologies that incorporate data analytics, personalized learning, and advanced user modeling. Scientific Awards: Winner of the "S. Ciancio" scholarship (1980, 1982, 1983) Outstanding Paper Award at the Ed-Media World Conference on Educational Technology (1995) Since 1994, Professor Molinari has supervised approximately 10 thesis projects annually across multiple institutions including the University of Trento (Economics, Engineering), University of Bolzano (Computer Science, Education), and Abo Akademy in Finland. His teaching spans numerous courses related to information systems, project management, and technology applications across various academic disciplines. He has coordinated numerous research projects, particularly in the areas of e-learning platforms, virtual communities, and semantic technologies for educational applications. Professor Molinari is actively involved with several research communities and has served on program committees for numerous international conferences including IEEE-STAR, SMARTGREENS, and the International Conference on Web-based Education. His work often involves interdisciplinary collaboration between computer scientists, educators, and domain specialists to develop innovative technology-enhanced learning solutions.

Carmen AcatrineiView profile

Associate Professor

• Online Advertising
• Social Media Marketing
• Customer Relationship Management (CRM)
• +5 more

Carmen Acatrinei serves as Associate Professor at the Department of Marketing, Faculty of Marketing, Bucharest University of Economic Studies. With over 15 years of academic experience since joining in 2008, she teaches undergraduate and graduate courses including Direct Marketing, Online Advertising, Social Media Marketing, and Customer Relationship Management in both Romanian and English. Her educational background includes: Postdoctoral Studies in Marketing (2015) PhD in Marketing (2011) Master's Degree in Marketing (2009) Bachelor's Degree in Business Administration (2007) Dr. Acatrinei's research focuses on three interconnected domains: online advertising effectiveness (particularly social media platforms), AI-enhanced CRM systems, and data-driven direct marketing strategies. Her work bridges theoretical marketing frameworks with practical digital applications, emphasizing consumer behavior analysis in online environments and the ethical implications of data usage. She investigates how emerging technologies transform traditional marketing paradigms while maintaining consumer-centric approaches. Her publication portfolio demonstrates consistent thematic focus across digital marketing domains, with recent works examining energy consumption paradoxes in digital societies, gamification mechanics in affiliate programs, and privacy literacy measurement frameworks. The research shows progressive sophistication in methodology, evolving from exploratory assessments toward data mining applications and cross-disciplinary integration with sustainability science. Dr. Acatrinei actively participates in national research projects (POC, PNCDI III, IDEI, PN II) and international Erasmus+ initiatives, contributing to collaborative research teams focused on digital marketing innovation. Her teaching directly incorporates these research insights, creating a synergistic relationship between academic inquiry and educational practice.

Frederick MatsenView profile

Professor

• Computational Biology
• Phylogenetics
• Evolutionary Immunology
• +5 more

Dr. Frederick "Erick" Matsen is a Professor in the Public Health Sciences Division at Fred Hutchinson Cancer Research Center, where he serves as Associate Program Head of the Herbold Computational Biology Program. He is also an Affiliate Associate Professor of Genome Sciences and Statistics at the University of Washington and a Howard Hughes Medical Institute Investigator. Dr. Matsen leads the Matsen Lab, which focuses on computational approaches to evolutionary biology and immunology. Dr. Matsen's research centers on computational biology, particularly developing algorithms to analyze biological data from DNA sequencing of viruses, immune cells, and complex environmental samples. His team works on phylogenetic methods, evolutionary tree construction, and software development for computational biology. Key research areas include Bayesian phylogenetics via optimization , phylodynamics with many sequences , antibody sequence analysis , and learning immune mechanisms from receptor sequences . His work bridges mathematics, computer science, and biological discovery, with applications to HIV, SARS-CoV-2, and other pathogens. The Matsen Lab has developed numerous influential resources including phyloseminar.org, B-T.CR, and phylobabble.org. Recent publications demonstrate a strong focus on machine learning applications in phylogenetics, antibody evolution analysis, and computational approaches to viral evolution. His team's work has significant implications for understanding immune responses to pathogens and developing better vaccines and treatments. Howard Hughes Medical Institute Investigator (2021-present) Howard Hughes Medical Institute-Simons Foundation Faculty Scholar Dr. Matsen maintains an active mentoring program, with an impressive track record of trainees securing tenure-track faculty positions. His lab fosters a collaborative environment where biologists learn analytical tools and computational scientists work directly with biological problems. Current projects include developing computational methods for outbreak control and analyzing antibody responses to SARS-CoV-2 using phage-immunoprecipitation sequencing. The Matsen Lab operates within Fred Hutch's collaborative ecosystem, including membership in the Immunotherapy Integrated Research Center, Pathogen-Associated Malignancies Integrated Research Center, and Translational Data Science Integrated Research Center. The lab has recently moved to the Lake Union Steam Plant facility, specifically designed to facilitate collaboration between clinical researchers, data scientists, and evolutionary biologists.

Cathrine SouthernView profile

Associate Professor

• Biophysical Chemistry
• Fluorescence Spectroscopy
• Antibody Structure
• +3 more

Cathrine Southern is an Associate Professor in the Department of Chemistry and Biochemistry at DePaul University's College of Science and Health. As a full-time faculty member, she teaches courses including General Chemistry, Physical Chemistry, and Biophysical Chemistry. Her office is located in McGowan South, Room 321B, and her lab is in Room 320. Dr. Southern's research program focuses on biophysical chemistry with two main thrusts: Investigating antibody structure using single-molecule Förster resonance energy transfer (FRET), particularly how structural changes due to mutations or sugar removal impact immune function. Developing fluorogenic FRET-based peptide substrates to monitor inflammatory caspase activity, with the goal of creating selective substrates for each caspase to elucidate their individual roles in inflammation. Her publication record from 2003 to 2018 demonstrates a progression from fundamental physical chemistry (e.g., spectroscopy of anthranilic acid) to applied biochemical and immunological research. The majority of her recent work centers on FRET applications in antibody and caspase studies, reflecting her lab's specialization in fluorescence spectroscopy for biological problems. No scientific awards were listed in the provided information. Dr. Southern actively contributes to the academic community through service on multiple university committees (Chemistry and Biochemistry Advising Committee, Curriculum Committee, General Chemistry Committee) and as a reviewer for journals including the Journal of Chemical Physics and Journal of Physical Chemistry A. She directs the Southern lab, which collaborates with Dr. Caitlin Karver's research group on inflammatory caspase projects.

Espen AndersenView profile

Associate Professor

• Technology Strategy
• Digitalization
• Business Innovation
• +5 more

Espen Andersen is an Associate Professor at BI Norwegian Business School's Department of Strategy and Entrepreneurship and holds an adjunct position at the University of Oslo's Department of Computer Science. With a D.B.A. from Harvard Business School and M.Sc. from BI Norwegian Business School, he maintains a research focus on technology strategy, digital transformation, and innovation management. His research explores: Data-driven organizational decision-making Disruptive impacts of digital technologies Machine learning in business strategy Innovation processes in technology firms Knowledge management systems Publication trends show consistent focus on digital transformation challenges, with recent work examining AI's organizational impact and strategies for technological adaptation. His articles frequently employ business case methodologies across multiple industries. Awards and recognition: Excellent Teaching Practitioner (2023) Andersen actively contributes to executive education through Comunità networks, consults internationally on technology strategy, and maintains academic blogs in both English (Applied Abstractions) and Norwegian (Tversover).

Thomas SejersenView profile

Associate Professor

• Podcasting
• Media Economics
• Datafication
• +7 more

Thomas Sejersen is an Associate Professor at the Danish School of Media and Journalism, specializing in Media Production and Management. With a Master of Arts in Film Studies from the University of Copenhagen (2015), he has established himself as a leading researcher in podcasting studies, media economics, and digital media transformation. His research interests focus on the institutional development of podcasting, examining its evolution from participatory practice to platform content. He investigates media economics, particularly podcast monetization strategies, platformization of streaming content, and datafication in digital media. His work bridges academic research with industry practice through frequent media commentary and conference participation. Sejersen's publication record shows consistent output from 2020-2025, with notable books published by Routledge and De Gruyter. His recent work (2024-2025) represents mature research outputs from ongoing projects, while earlier publications (2022) established foundational analyses of podcast business models. His research demonstrates a clear trajectory from examining podcasting as DIY practice to analyzing its commercialization within platform ecosystems. His active research portfolio includes: Platformaniseringen af streamingindhold (2025-2029) The Datafication of Narration (2023-2024) Datadonation og podcastlytning (2023-2024) The Institutional Development of Podcasting (2023-2024) Sejersen maintains strong industry connections, contributing to 18 media appearances and participating in numerous conferences. His work on podcast economics has informed industry discussions about revenue models, data practices, and platform strategies, making him a notable bridge between academic research and media industry practice.

GÖKÇE YILDIRIMView profile

Lecturer

• Machine Learning
• Optimization
• Random Number Generation
• +4 more

Dr. Gökçe Yildirim serves as a Doctor Lecturer at Bingöl University's Vocational School of Technical Sciences within the Department of Machine and Metal Technologies since 2019, advancing from Lecturer (2019-2025) to her current position. Her academic foundation was built at Fırat University through sequential engineering degrees culminating in a 2024 PhD in Software Engineering. Educational background: Mechatronics Engineering BSc, Fırat University (2010-2014) Mechatronics Engineering MSc, Fırat University (2014-2017) Software Engineering PhD, Fırat University (2018-2024) Her research program centers on machine learning and optimization with distinctive expertise in chaotic-system-based random number generation . This computational focus drives interdisciplinary applications across medical diagnostics, agricultural forecasting, and gaming analytics. Recent work demonstrates sophisticated integration of nonlinear dynamics with security-critical applications, reflecting both theoretical depth and practical implementation skills. Publication analysis reveals consistent output since 2018 with accelerating international engagement. The 2023 works mark significant maturation of her research identity, particularly the Chaos, Solitons & Fractals paper establishing her innovative optimization approach for chaotic random number generators. Her portfolio shows remarkable versatility across domains while maintaining core computational methodology. Scientific recognition: No major awards documented in current records Dr. Yildirim maintains active teaching responsibilities across foundational engineering disciplines while pursuing research. Her vocational school context emphasizes practical skill development, with research directly informing curriculum design. Current publications indicate ongoing projects in secure random number generation and agricultural data mining, though specific grant details remain undisclosed. No dedicated research laboratory is documented, suggesting computational work leverages shared university resources within the vocational school's applied engineering framework.

Teresa M. McCarthy ByrneView profile

Associate Professor

• Manufacturing Geographic Diversification
• Omnichannel Fulfillment
• Innovation in the Apparel Supply Chain
• +5 more

Teresa M. McCarthy Byrne serves as Associate Professor of Marketing and Global Supply Chain Management at Bryant University's College of Business, where she coordinates the GSCM program with over 20 years of combined industry and academic experience. Her dual expertise bridges theoretical research and practical supply chain applications. Her educational background includes: Ph.D. in Supply Chain Management from The University of Tennessee, Knoxville M.S. in Business from the University of Rhode Island B.S. in Business Administration from University of Massachusetts at Amherst McCarthy Byrne's research investigates critical supply chain vulnerabilities through the lens of manufacturing geographic diversification as risk management , with particular focus on omnichannel retail fulfillment systems and innovation within fast-fashion supply chains . Her work examines how sales & operations planning (S&OP) frameworks and collaborative forecasting techniques can mitigate disruption risks in global networks, especially within apparel industries where speed-to-market is paramount. This research trajectory demonstrates consistent evolution from foundational supply chain integration studies toward contemporary risk management applications. Analysis of her publication history reveals three dominant thematic clusters: (1) supply chain risk mitigation through geographic and process diversification, (2) omnichannel retail transformation challenges in forecasting and fulfillment, and (3) fashion industry-specific innovations in rapid-response supply systems. These interconnected themes reflect growing scholarly attention to volatility in global supply networks. Her scientific recognition includes: Outstanding Faculty Award (2022) Excellence in Teaching Award (2019) Summer Research Grant (2015) Robert & Christine Staub Faculty Excellence Award (2007) As GSCM Program Coordinator, McCarthy Byrne has developed distinctive experiential learning opportunities including a consulting capstone course that connects students with industry partners. Her teaching portfolio spans supply chain integration, global sourcing, and B2B marketing, emphasizing real-world application through Bryant's career-focused curriculum. While no major external grants are documented beyond the 2015 Summer Research Grant, her professional engagement with Council of Supply Chain Management Professionals and Institute of Supply Management demonstrates industry integration. Though no dedicated research labs are mentioned, her work with the National Retail Federation and Academy of Marketing Science indicates active participation in industry knowledge networks focused on retail supply chain innovation.

• Technological services
• Service innovation
• Digital humanities
• +4 more

Professor Cai Ruihuang is a distinguished faculty member in the Department of Information Management at National Chengchi University's College of Business. With over 30 years of academic service, he currently serves as Director of the Computer Center and has held various administrative positions including Deputy Director of Research and Development and Director of the Innovation Incubation Center. His extensive academic career spans teaching and research in information systems, neural networks, and digital innovation. PhD in Industrial Engineering and Operations Research, University of California, Berkeley MS in Industrial Engineering, University of California, Berkeley BS in Nuclear Engineering, National Tsing Hua University Professor Cai's research focuses on technological services, service innovation, digital humanities, neural network systems, and enterprise process analysis. His work bridges traditional business domains with cutting-edge technology applications, particularly in cultural institutions like the National Palace Museum. His research demonstrates a consistent trajectory from foundational neural network theory to practical applications in financial analytics, museum technology, and digital transformation. His extensive publication record shows a progression from theoretical neural network research in the 1990s to applied AI and digital innovation studies in recent years. Notably, he has pioneered applications of AI in cultural heritage institutions and developed innovative approaches to financial fraud detection using neural networks. His work spans computer science, business management, and digital humanities, reflecting an interdisciplinary approach to information systems research. 資深優良教師(30年) - Senior Excellent Teacher Award 特聘教授 - Distinguished Professor 國科會獎勵特殊優秀人才 - MOST Special Outstanding Talent Award 學術研究成果國際化優等研究獎 - International Academic Research Excellence Award 教學特優教師 - Outstanding Teaching Award Professor Cai has successfully led numerous research projects totaling millions in funding from both government agencies like MOST and private sector partners including CTBC Financial Holding and National Palace Museum. His current research focuses on AI applications in finance, digital transformation of cultural institutions, and cybersecurity education initiatives. He leads the Financial AI Cloud Ecosystem research project and serves as principal investigator for multiple cybersecurity training programs funded by Taiwan's Ministry of Education. His work connects academic research with practical applications through the Financial AI Cloud Research Center and various industry collaboration initiatives. Professor Cai's research group actively engages with cultural institutions, financial organizations, and technology companies to develop innovative solutions for real-world challenges in digital transformation.

Juri RappsilberView profile

Professor

• Proteomics
• Mass Spectrometry
• Protein Structure
• +4 more

Prof. Juri Rappsilber is a Professor at the Technical University of Berlin's Institute of Biotechnology and Group Leader of Research Unit E in the UniSysCat Cluster of Excellence. His affiliations include Visiting Professorship at Kyoto University (2017, JSPS Fellow) and Senior Research Fellowships at the Wellcome Trust (2009-2019). He leads the Rappsilber Laboratory, focused on developing mass spectrometry technologies to study protein structure and interactions. Research interests center on proteomics , crosslinking mass spectrometry , and protein-network analysis . Key areas include: Functional protein networks through co-regulation studies Chromatin dynamics and mitotic chromosome composition In-cell structural proteomics integrating deep learning Development of bioorthogonal catalysis for medical applications His publication record demonstrates consistent output in high-impact journals, with recent work emphasizing: Structural mechanisms of protein complexes (γ-tubulin, condensin) Crosslinking MS methodology innovation and error control Integration of AI with experimental structural biology Catalytic processes in bioinorganic systems Awards and honors: EMBO Membership (2021) BSPR Lectureship (2014) Einstein Professorship (2011) Wellcome Trust Senior Research Fellow (2009-2019) Marie Curie Excellence Fellow (2005-2010) He actively advises doctoral students, including DAAD Hilde-Domin Program recipients, and secures substantial funding through ERC Synergy Grants, Wellcome Trust awards, and national initiatives. The lab focuses on developing anti-cancer therapeutics and sustainable chemistry solutions while pursuing Green Lab Certification.

• Educational Technology
• Semantic Web Applications
• Knowledge Management
• +4 more

Mart Laanpere is Professor of Mathematics and Computing Education at Tallinn University, where he has held various academic positions since 2003. His career includes leadership roles such as head of educational technology centers and extensive international collaborations. He completed his doctoral studies at Tallinn University and research master's at University of Twente, specializing in educational systems design. His research examines educational technology integration, semantic web applications for knowledge management, and didactics of STEM subjects. Current investigations focus on smart school architectures, flexible learning pathways, and computational thinking assessment. Research consistently emphasizes practical applications in Estonian and Baltic educational contexts. Recent publications demonstrate strong focus on curriculum innovation, particularly in computing education reform and mathematics pedagogy. Works frequently address technology integration challenges, digital competence frameworks, and validation of educational models across diverse learning environments. Honors and Awards: TLU Badge of Merit (2024) National Research Award in Social Sciences (2020) Order of White Star 5th Class (2017) Best PhD Thesis in Educational Sciences (2014) TLU Open University Trainer of the Year (2013) Most Entrepreneurial Researcher (2007, 2009) Supervises doctoral candidates and coordinates international research projects including EU-funded initiatives on digital competence frameworks. Leads the Smart Schoolhouse research stream developing reference architectures for technology-enhanced learning environments. Directs collaborative projects with European partners through EDEN Digital Learning Europe and ICEM. Serves on Estonia's national digital competence task force developing standards and assessment models for digital literacy across educational sectors.

• Industrial-Organizational Psychology
• HR Data Analytics
• College Access and Student Success
• +7 more

Dr. Shawn Bergman serves as Professor in the Department of Psychology at Appalachian State University with strong affiliations to the Walker College of Business through the Industrial-Organizational Human Resource Management (IOHRM) program. As Founder and Director of the HR Science Research Team, he leads multiple interdisciplinary projects bridging psychology, data science, and practical business applications. His research focuses on three interconnected domains: (1) Career development for psychology students through competency mapping and the Eugene web tool; (2) Safety analytics in collaboration with NIOSH to prevent workplace injuries using behavioral data; (3) Evidence-based college access initiatives to improve high school graduation and postsecondary enrollment. Bergman's work consistently emphasizes translating academic research into practical tools and interventions. Analysis of his recent publications (2019-2023) reveals a strong trajectory toward data-driven research with increasing emphasis on analytics applications in HR and safety contexts. His work spans psychometric validation, predictive modeling, program evaluation, and intervention development - demonstrating both methodological rigor and practical relevance. As an educator and mentor, Bergman actively involves students in research, with numerous graduate and undergraduate co-authors. His advising philosophy emphasizes developing both technical analytics skills and professional competencies for corporate success. The HR Science Research Team provides students with direct experience in client-facing projects and national conference presentations. Key lab resources include partnerships with NIOSH, chemical manufacturing companies for safety analytics, and the Eugene career mapping platform. His work demonstrates sustained funding through federal collaborations (NIOSH), GEAR UP initiatives, and industry partnerships focused on practical problem-solving in organizational contexts.

Mark OelmannView profile

Professor

• Water Economics
• Energy Economics
• Regulatory Economics
• +5 more

Professor Mark Oelmann is Professor of Energy and Water Economics and Head of the Bachelor's program "Business Administration - Energy and Water Management" at the Ruhr West University of Applied Sciences in Mülheim an der Ruhr since 2011. He serves as spokesperson for the university's interdisciplinary research focus area "Water Economics and Water Management" and is partner and managing director of MOcons, the first consulting firm spun off from the university. Professor Oelmann maintains extensive international connections through the German Society for International Cooperation (GIZ) and has served on the Advisory Panel of England's water regulatory authority OFWAT. Professor Oelmann's research focuses on economic questions in water and energy management, incentive-compatible regulatory frameworks for water sectors in emerging countries, benchmarking and tariff models, institutional and regulatory economics, and digitalization in water management. His work bridges academic research with practical applications, as evidenced by his 25+ years of industry experience in the water sector and related network industries. His recent publications (2021-2009) demonstrate a consistent focus on digital transformation in water management, international water issues across diverse geographical contexts, and regulatory frameworks for efficient water service provision. The publications show increasing attention to digitalization trends while maintaining core expertise in water economics and regulatory models. Ehrhardt-Imelmann Research Prize by the University of Cologne Professor Oelmann actively advises government bodies including the German Bundestag and Federal Ministry of Education and Research, and serves on multiple expert committees including the German Association of Energy and Water Industries (BDEW) and the German Association for Water, Wastewater and Waste (DWA). His practical experience spans investment banking at Deutsche Bank AG, management consulting at Capgemini, and department leadership at the Scientific Institute for Infrastructure and Communication Services (WIK). Professor Oelmann leads the Water Economics and Water Management research focus area at Ruhr West University and is chairman of the advisory board of the Competence Center for Digital Water Management. His international engagement includes a recent three-month research stay at the University of Cape Town (2024) and long-term work in countries across Africa, Asia, and the Middle East.

Vita PetekView profile

Assistant Professor

• Gastronomy
• Enogastronomy
• Wine Tourism
• +2 more

Assistant Professor Vita Petek is a faculty member at the Faculty of Tourism, University of Maribor, specializing in Tourism with habilitation in gastronomy and wine tourism research. Her academic work bridges theoretical frameworks with industry applications through active participation in sustainable tourism projects. Research Interests: Her primary focus spans gastronomy, enogastronomy, wine tourism, and culinary tourism , with recent investigations into: Consumer ethnocentrism in wine selection behavior Post-pandemic recovery strategies for wine tourism destinations Digital maturity assessment in tourism SMEs Sustainable development of regional wine tourism experiences Professionally certified as a Sommelier Level 1 and WSET Level 2 holder, she integrates practical wine industry knowledge into academic research. Teaching & Engagement: She delivers courses including Introduction to Tourism, Wine Tourism, and Gastronomy and Enogastronomy using active learning methodologies. Office hours are held Tuesdays 10:00-11:30 by email appointment ( vita.petek2@um.si ). Her pedagogy emphasizes critical thinking and innovative product creation through student-centered tutorials.

Luis Vives De PradaView profile

Associate Professor

• Strategic Management
• International Business
• Business Model Innovation
• +4 more

Luis Vives De Prada serves as Associate Professor of General Management and Strategy at ESADE Business School, concurrently holding leadership positions as Vice-Dean of MBA Programs and Director of Corporate Relations and Engagement. He maintains active research affiliations with the ESADE Entrepreneurship Institute (EEI) and GRIE - Research Group on Entrepreneurial Initiative. Academic Credentials: Doctor in Business Administration, IESE Business School Bachelor in Business Administration, University of Navarra Postdoctoral Fellow, MIT Sloan School of Management Visiting Scholar, Harvard University Diploma in Piano and Music Theory Research Focus: Professor Vives specializes in strategic management with emphasis on digital transformation and business model innovation . His recent work analyzes generative AI's impact on corporate leadership (2024 publications), long-term strategic thinking in volatile markets (2023), and innovation frameworks for SMEs. He bridges theoretical research with practical applications through case studies of multinational corporations, exploring how creative industries and platform economies reshape traditional business models. Publication Trends: Analysis of his 15 most recent works reveals consistent focus on strategic adaptation in digital environments. From 2018-2024, his research evolved from foundational digital transformation concepts (SME innovation, big data adoption) toward cutting-edge AI leadership frameworks. Notably, 60% of recent publications address generative technologies' strategic implications, while maintaining strong connections to international business contexts through collaborations with European and Asian scholars. Professional Engagement: Professor Vives leverages extensive consulting experience with multinational corporations across seven industry sectors to inform his academic work. His corporate partnerships with organizations like Bayer, Samsung, and IKEA provide real-time strategic challenges that fuel both classroom discussions and research agendas. This practitioner perspective enables him to translate complex strategic concepts into actionable frameworks, particularly regarding digital disruption in traditional industries. Research Ecosystem: Through dual appointments at ESADE's Entrepreneurship Institute and GRIE research group, he contributes to studies on venture creation in digital economies and strategic innovation in established firms. These affiliations facilitate collaborations with visiting scholars from top global institutions and provide access to longitudinal datasets on multinational corporate strategies.