جستجوی استاد راهنمای دانشگاهی

• Sustainable Finance
• Corporate Finance
• Climate Risk Assessment
• +۵ مورد دیگر

Prof. Michael HALLING is a Full Professor in Sustainable Finance at the University of Luxembourg's Faculty of Law, Economics and Finance, Department of Finance. His work focuses on sustainable finance, corporate finance dynamics, climate risk assessment, and financial regulation. He holds the prestigious Chair in Sustainable Finance and has published extensively on topics like MiFID II compliance, mutual fund fee structures, and post-pandemic market recovery. Contact: michael.halling@uni.lu Research Interests : Prof. HALLING’s research bridges theoretical finance with practical applications, emphasizing sustainable investment practices, corporate debt management, and regulatory frameworks. Key themes include: Climate risk modeling using public news sentiment analysis Impact of behavioral preferences on corporate investment decisions Automated compliance systems for financial institutions Market dynamics during crises (e.g., pandemic effects on capital access) Recent Publications Trends : Recent works analyze MiFID II regulatory impacts (2024), stochastic modeling of corporate investment (2023), and firm-specific climate risk quantification. His 2020 studies explored pandemic-driven shifts in corporate financing strategies. Awards : No awards explicitly mentioned in the provided texts. Grants & Advising : No student advisees or grant details provided in available data. Labs/Teams : No specific research group affiliations listed.

Deodat Edward Mwesiumoمشاهده پروفایل

استاد

• Supply Chain Management
• Digital Business
• Tourism Management
• +۴ مورد دیگر

Deodat Edward Mwesiumo is a Professor of Supply Chain Management at Molde University College (HiMolde), part of the Faculty of Logistics. He holds a PhD in logistics from the same institution and has extensive teaching and research experience since 2012. His roles include Head of the Supply Chain Management Research Group and member of the PhD committee. Previously, he directed the Bachelor program in Supply Chain Management and Logistics. His research focuses on supply chain resilience, digital business transformation, and tourism management. Key areas include procurement strategies, sustainability, circular economy models, and interorganizational relationships in tourism. He has published in high-impact journals like Production Planning and Control , Journal of Purchasing and Supply Management , and Annals of Tourism Research . Dr. Mwesiumo has led externally funded projects and contributed to over 50 peer-reviewed publications. He is affiliated with research groups such as MIIBS (Marketing, Innovation, International Business & Strategy) and the Transport Research Group (TRG). His teaching spans BSc and MSc levels, including courses on value chain analysis, digital business, and supply chain theory. Recent work emphasizes airport digital maturity, supply chain risk mitigation, and the impact of data-driven decision-making in public procurement. He has authored books like Making Value Chains Work and Fundamentals of Digital Business Management , underscoring his commitment to both academic and applied knowledge dissemination.

Dieter Uckelmannمشاهده پروفایل

استاد

• Internet of Things
• Logistics
• Industry 4.0
• +۱۱ مورد دیگر

Dieter Uckelmann serves as Professor of Information Logistics and Scientific Director of the Institute for Applied Research at Stuttgart University of Applied Sciences (HFT Stuttgart). He holds multiple leadership positions including Spokesperson for the research focus 'Smart Technologies, Processes and Methods' at HFT Stuttgart since March 2023 and Scientific Director of the Institute for Applied Research since September 2023. His academic journey began with mechanical engineering studies in Braunschweig, followed by doctoral research at the University of Bremen focusing on 'Quantifying the Value of RFID and the EPCglobal Architecture Framework in Logistics.' Uckelmann's research spans Internet of Things applications across Industry 4.0, logistics, smart buildings, and smart cities, with significant contributions to educational technology including learning analytics and AI in teaching. His work bridges technical innovation with practical implementation, particularly in digital transformation of laboratories and smart city infrastructure. He has led numerous research projects including KNIGHT (AI for teaching), InDeckLe (earth composite ceiling systems), iCity initiatives, and DigiLab4U (online laboratories). His publication record shows a clear progression from foundational RFID and IoT research toward emerging technologies like the Industrial Metaverse, 5G applications, and AI-driven educational systems. Recent work demonstrates strong integration of physical and digital systems, particularly in urban environments and educational contexts, with increasing emphasis on sustainability and energy efficiency applications. Co-editor of International Journal of RF-Technologies: Research and Applications Member of PhD Association BW, Research Unit III Computer Science and Electrical Engineering Mentor in the HAWCareer mentoring program Program Committee Member for IEEE RFID, IEEE/ITMC, AIET, and other major conferences Associate Editor for Journal of Online and Biomedical Engineering Professor Uckelmann actively mentors students and researchers, with his team contributing to projects across smart city infrastructure, digital learning platforms, and industrial IoT applications. He leads the Industrie 4.0 Laboratory which focuses on industrial IoT applications, digital twins, and the industrial metaverse, with research spanning RFID, RTLS, wireless sensor networks, AR/VR, and IoT architectures. His work extends to international collaborations including visiting professorships at Auburn University and the University of Parma.

Aurélie Labbeمشاهده پروفایل

استاد

• Data Science
• Statistical Learning
• Machine Learning
• +۷ مورد دیگر

Aurélie Labbe is a Full Professor in the Department of Decision Sciences at HEC Montréal, holding the prestigious FRQ-IVADO Chair in Data Science. Appointed as Co-Scientific Director – Academic Partnerships at IVADO in October 2023, she plays a key leadership role in establishing connections between IVADO and partner universities. Her academic journey includes a PhD in Statistics from the University of Waterloo, a Master's degree in Statistics from the University of Montreal, and dual Bachelor's degrees in Applied Mathematics and Social Sciences from Paris-Dauphine University and Pure Mathematics from Versailles-St Quentin University. Her research spans multiple interdisciplinary domains with a focus on developing advanced statistical and machine learning methodologies for big data analysis. Labbe's work bridges theoretical statistics with practical applications across diverse fields including genomics, neuroscience, transportation systems, and health informatics. She has made significant contributions to kernel methods, matrix factorization techniques, random forest applications, and spatiotemporal data analysis, with publications appearing in top journals across multiple disciplines. Analyzing her recent publications reveals a clear trend toward methodological innovation applied to complex real-world problems. Her work demonstrates expertise in handling high-dimensional data from diverse sources including neuroimaging, transportation networks, and genomic studies. The interdisciplinary nature of her research connects statistical theory with applications in healthcare, transportation safety, and biological sciences, reflecting her ability to develop methods that address domain-specific challenges while advancing statistical methodology. Holder of the FRQ-IVADO Chair in Data Science Member of the Center for Mathematical Research Training Professor Labbe actively mentors the next generation of data scientists, supervising numerous doctoral and master's students. Her supervision portfolio includes 1 doctoral thesis (2023), 4 master's theses (2022-2024), and 32 supervised projects spanning 2019-2025. Her students' work covers diverse applications including transportation safety, healthcare analytics, financial modeling, and environmental analysis. Through her leadership of the FRQ-IVADO Chair in Data Science, she coordinates research activities that integrate mathematical, statistical, and computer science expertise with domain knowledge from various data-generating fields. As Co-Scientific Director at IVADO, Professor Labbe leads efforts to establish connections with faculties and departments across five partner universities, integrating them into IVADO's research and knowledge transfer activities. Her leadership role positions her at the forefront of advancing data science research and applications in Quebec's academic ecosystem.

• performance management
• business analytics
• strategic management accounting
• +۳ مورد دیگر

Dr. Anna Raffoni serves as a Senior Lecturer in Accounting and Finance at Loughborough Business School, Loughborough University, and holds the strategic role of Programme Lead for Social Science Research (Business and Management Studies). She joined the institution in January 2015 after accumulating academic experience at the University of East Anglia, Cranfield University School of Management, and the University of Bologna, establishing herself as a key contributor to the Accounting and Finance research group. Her academic foundation includes a PhD in Management Accounting (specializing in customer value management) awarded by the University of Florence in 2009, which continues to inform her interdisciplinary research trajectory. Raffoni's scholarly work centers on performance management, business analytics, and strategic management accounting, with publications appearing in premier journals including the European Journal of Operational Research, British Accounting Review, Production, Planning & Control, and Omega. Her research uniquely bridges quantitative operations research methods with accounting frameworks, particularly examining how data analytics transforms traditional performance measurement in banking and service sectors through techniques like machine learning and data envelopment analysis. Analysis of her 15 most recent publications (2012-2024) reveals a clear evolution toward integrating advanced analytics with performance management systems. She has pioneered multidimensional efficiency measurement in banking branches, explored total cost of ownership in supply chains, and investigated strategic performance measurement adoption, consistently demonstrating how operational research methods solve real-world accounting challenges while advancing theoretical models. Her scientific recognition features the Dean’s Award for Early Career Teacher of the Year (2017), acknowledging her excellence in undergraduate and postgraduate instruction. In her capacity as Programme Lead, Raffoni shapes research strategy and supports faculty development across Business and Management Studies. While specific supervisees and grant details aren't documented in available materials, her leadership role and active publication record indicate substantial engagement in research mentorship and academic community building. She actively collaborates within Loughborough's Accounting and Finance research group, contributing to interdisciplinary projects that address contemporary challenges in financial management through analytical approaches, with emerging work suggesting increasing focus on artificial intelligence applications in performance systems.

Enkelejda Mihoمشاهده پروفایل

استاد

• Digital Life Sciences
• Medical Informatics
• Artificial Intelligence in Healthcare
• +۴ مورد دیگر

Prof. Enkelejda Miho is a Professor of Digital Life Sciences at the School of Life Sciences, FHNW, leading the aiHealthLab. Her work bridges computer science/AI with life sciences, focusing on drug discovery, personalized medicine, and immunology. She holds roles as Team Leader at aiHealthLab and Group Leader at the Swiss Bioinformatics Institute. Research Interests : She applies machine learning to analyze immune repertoires, antibody engineering, and autoimmunity diagnostics. Her lab develops computational tools like the RWD-Cockpit for real-world data analysis and synthetic antibody-antigen models (Absolut!) to advance biotherapeutics. Her work on dengue immunity and monoclonal gammopathies highlights translational applications. Key Projects : The aiHealthLab focuses on AI-driven diagnostics and therapeutics. Her contributions include AI frameworks for antibody specificity prediction, age-related immune repertoire changes, and large-scale network analysis of antibody repertoires. Labs/Teams : Leads aiHealthLab and collaborates with the Swiss Bioinformatics Institute, integrating computational and experimental immunology.

Martin Sposatoمشاهده پروفایل

استاد

• Artificial Intelligence in Education
• Educational Leadership
• Digital Transformation
• +۵ مورد دیگر

Martin Sposato is a Professor at Zayed University whose research focuses on the intersection of artificial intelligence, educational leadership, and organizational development. His work spans multiple disciplines including education, business, and human resources management, with particular emphasis on how AI technologies transform leadership practices and institutional operations. Dr. Sposato's research interests center on Artificial Intelligence in Education, Educational Leadership, Digital Transformation, and Human Resources Management. His work explores how AI can be effectively integrated into educational leadership practices while addressing ethical considerations and equity issues. He has developed frameworks for understanding AI applications across ten distinct domains in higher education leadership, including Administrative Efficiency, Personalized Learning, and Ethical AI Leadership. His publication record demonstrates significant contributions to understanding AI implementation in educational contexts, with a focus on creating structured frameworks for evaluation and adoption. His research shows a clear trajectory toward developing practical tools for educational leaders to navigate the complex landscape of AI integration while maintaining educational integrity and addressing potential risks. Artificial intelligence in educational leadership: a comprehensive taxonomy and future directions (2025) Transforming Corporate Social Responsibility and Business Ethics With AI (2025) Leadership strategies for implementing environmental management systems (2025) Bias and its impact on hiring and promotion (2025) Artificial intelligence in modern human resources practice (2025) Dr. Sposato's work on leadership extends beyond technology to explore fundamental leadership concepts, including followership theory, global leadership dynamics, and the balance between leader-centric and more distributed leadership models. His research provides valuable insights for organizations navigating digital transformation while maintaining human-centered values and ethical practices.

• Physiology
• Sports Science
• Molecular Biology
• +۳ مورد دیگر

Tommy Lundberg is a Senior Lecturer and Docent in Physiology at Karolinska Institutet. He works at the Department of Laboratory Medicine, Division of Clinical Physiology. His email address is tommy.lundberg@ki.se, and his postal address is H5 Laboratoriomedicin, H5 Klinisk Fysiologi Gustafsson, 141 52 Huddinge. Lundberg is affiliated with the university library and has held positions since 2022. Research Interests: Lundberg's research focuses on skeletal muscle mass and function adaptation, particularly in athletic performance, disease contexts, aging, and transgender individuals undergoing hormone therapy. He investigates molecular, metabolic, morphological, and functional responses to resistance and aerobic exercises. His work also explores biological maturity selection biases in youth sports, bio-banding applications in soccer and ice hockey, and the impact of anti-inflammatory drugs on muscle hypertrophy. Article Trends: Lundberg's recent publications (2025–2024) cover topics like sex differences in disc golf, muscle atrophy in space exposome, longitudinal hormone therapy effects in transgender individuals, and bio-banding in youth sports. Earlier works delve into molecular pathways in muscle hypertrophy, concurrent training effects, mitochondrial function, and imaging techniques (CT/MRI) for muscle assessment. Scientific Recognition: Most prominent young researcher in Sport Science, Swedish Central Association for Sport Promotion (SCIF), 2017 Teaching and Editorial Roles: Lundberg teaches human physiology and sports science in nursing, physiotherapy, and biomedical analytics programs. He leads a contract education course in advanced exercise physiology and contributes to a PhD course on scientific writing. He is an Associate Editor for Frontiers in Physiology - Exercise Physiology (2022) and a member of the editorial board for Translational Exercise Biomedicine (2024). Collaborations and Expertise: He collaborates with the Swedish Football Association and Swedish Ice Hockey Association on bio-banding studies. Lundberg served as an invited speaker at the ACSM Annual Meeting (2024) on transgender athletes and as an expert panelist for World Rugby's transgender workshop (2020). His supervision includes Andrea Tryfonos (2021) and thesis evaluations at Mid Sweden University and Linköping University.

• digital transformation
• strategy
• visualisation
• +۴ مورد دیگر

Gordon Fletcher serves as Associate Dean: Research and Innovation at Salford Business School, University of Salford, where he leads the development of the School's research presence and profile while guiding bidding activities, staff development, and impact initiatives. With extensive experience since 2002 teaching programming, digital transformation, and information systems, Fletcher employs a hands-on, interactive pedagogical approach. University: University of Salford School: Salford Business School Academic Rank: Professor Research Focus: Digital business, culture, and practice Fletcher's research explores digital transformation through multiple lenses including conflict within online finance communities, virtual game economies, and digital grieving practices. His scholarly work connects theoretical frameworks with practical applications in business environments, particularly examining how organizations navigate digital change while maintaining strategic coherence. His recent publications (2022-2025) demonstrate a consistent focus on practical frameworks for digital transformation, with particular attention to organizational readiness, leadership approaches, and strategic implementation. The recurring themes across his work include visualization techniques for strategic planning, responsive business model design, and the cultural dimensions of digital adoption. Awards and Professional Recognition: Emerald Literati Award (2017) for Outstanding Paper Claudio Ciborra Award for most provocative paper (2011) Vice-Chancellor's Distinguished Teaching Award (2014) Fellow of the Higher Education Academy (2012) Fellow of the Royal Society for the Arts (2011) Chartered Manager designation (2015) Fletcher actively supervises doctoral research in digital transformation topics and has contributed to multiple Knowledge Transfer Partnerships with organizations including the Greater Manchester Chamber of Commerce. His professional service includes committee roles with the International Federation of Information Processing and editorial responsibilities for major information systems conferences.

Christian Lerchمشاهده پروفایل

مدرس

• Innovation Management
• Digital Transformation
• Manufacturing Industries
• +۴ مورد دیگر

Dr. Christian Lerch is a prominent researcher and coordinator at the Fraunhofer Institute for Systems and Innovation Research ISI in Karlsruhe, specializing in innovation management, industrial transformation, and digitalization. He holds a PhD from Freie Universität Berlin and lectures at Zeppelin University and the University of Applied Sciences Karlsruhe, focusing on service economics and business model innovation. His work bridges academic and applied research, emphasizing servitization, Industry 4.0/5.0, and sustainability in manufacturing. Affiliations: Fraunhofer ISI (since 2008), Zeppelin University (lecturer), University of Applied Sciences Karlsruhe (lecturer). Education: PhD in Innovation Management from Freie Universität Berlin (2014), studies in Economics Engineering at Karlsruhe Institute of Technology (KIT). Research Interests: His work centers on innovation dynamics in manufacturing industries, digital transformation, AI-readiness, platform-based business models, and resilience strategies. He explores how firms adapt to trends like servitization, Industry 5.0 human-technology synergy, and green economy challenges. Recent studies focus on policy implications of China's industrial strategies and the role of competence management in fostering innovation. Articles Trends: His publications emphasize the interplay between technological advancements and human-centric approaches, particularly in Industry 5.0. Key themes include AI-driven resilience, platformization pathways, and the evolution of production paradigms. He also analyzes digital servitization maturity models and the socio-economic impact of collaborative economy models in manufacturing. Awards: Recognized with a Best Paper Award (2015) for research on digitalization's role in manufacturing's service transformation. Active in professional societies like the Deutsche Gesellschaft für System Dynamics. Grants & Labs: Led projects on AI-readiness, Digital Maturity Checks, and the economic relevance of B2B platforms. Involved in the European Manufacturing Survey (EMS) network. Coordinates the Business Unit Industrial Change and New Business Models at Fraunhofer ISI.

Elaine Chenمشاهده پروفایل

مدرس ارشد

• Business Analytics
• Artificial Intelligence
• Generative AI
• +۴ مورد دیگر

Dr. Elaine Chen serves as Senior Lecturer in Business Analytics and Course Leader for the MSc Business Analytics and Artificial Intelligence at Nottingham Business School, Nottingham Trent University. Her teaching emphasizes practical applications of data and AI technologies for business decision-making, with dedicated focus on accessibility for diverse student backgrounds across technical and strategic domains. Her academic credentials include: PhD in Computing Science MSc in Business Information Technology Postgraduate Certificate in Academic Practice BTech (Hons) in Business Information Systems Chen's research bridges educational and business contexts through data-AI integration: Generative AI adoption in higher education, particularly for neurodivergent/disabled students Human-AI collaboration frameworks in organizational settings SME applications for AI-driven efficiency and competitiveness Workforce analytics and talent management systems Her work consistently connects technical AI capabilities with real-world implementation challenges. Publication analysis (2023-2025) reveals accelerating focus on generative AI's educational impact and business strategy integration, evolving from her foundational work in social recommender systems (2014-2020) which established methodologies now applied to contemporary AI challenges in business contexts. Her professional recognition includes: Senior Fellow of the Higher Education Academy (HEA) Chen actively supervises PhD candidates in AI education, human-AI collaboration, and workforce analytics domains. Her pedagogy leadership includes designing accredited business analytics curricula and securing teaching innovation projects with documented outcomes in student engagement metrics. Prior industry experience as an automation engineer at Intel informs her practical approach to AI implementation. Current initiatives focus on generative AI ethics frameworks and longitudinal SME adoption studies, extending her established research trajectory into emerging business technology challenges.

Christophe Danjouمشاهده پروفایل

دانشیار

• Industrial Engineering
• Management Information Systems
• Manufacturing
• +۹ مورد دیگر

Christophe Danjou is an Associate Professor in the Department of Mathematical and Industrial Engineering at Polytechnique Montréal . He joined as a professor in January 2018 and serves as Scientific Director of the Poly-Industries 4.0 Laboratory since June 2021. His expertise spans Industrial Engineering , Industry 4.0/5.0 , Manufacturing Systems , and Blockchain . His research focuses on solving interoperability challenges in digital transformation through ontological approaches (OntoSTEP-NC) and blockchain technology. Key themes include strategic positioning frameworks for Industry 4.0/5.0, knowledge management , and smart manufacturing . Recent work explores digital twins for system-of-systems resilience , data integrity in IoT , and AI-driven food processing optimization . He teaches courses like Industry 4.0 and Manufacturing Processes . Under his supervision, 7 PhD and 6 Master’s students are advancing research in areas such as blockchain-based smart maintenance , distributed manufacturing , and carbon emission traceability . He is affiliated with institutions including IVADO (Member), CIRRELT (Member), and Data Intelligence Lab (Member). His publications highlight contributions to digital transformation across construction, agri-food, and SMEs, with 83 total publications (15+ recent articles shown).

Lianne Lefsrudمشاهده پروفایل

دانشیار

• Risk Management
• Sustainability
• Organizational Theory
• +۵ مورد دیگر

Lianne Lefsrud serves as Associate Professor and Risk, Innovation, and Sustainability Chair (RISC) in the Department of Chemical and Materials Engineering at the University of Alberta's Faculty of Engineering. Her interdisciplinary research bridges engineering, social sciences, and policy to transform risk management practices across energy, mining, construction, and railroading industries, directly influencing regulations, building codes, and industry operations for sustainable development. Her academic credentials include: BSc in Civil Engineering (Cooperative Program), University of Alberta (1994) MSc in Interdisciplinary Civil & Environmental Engineering and Sociology, University of Alberta (1996) PhD in Strategic Management and Organization, Alberta School of Business (2014) Dr. Lefsrud's research centers on risk management frameworks for sustainability challenges. She examines hazard identification, social license to operate, and technology adoption drivers in high-hazard industries, with emphasis on prospective risk assessment (e.g., hydrogen infrastructure design) and retrospective analysis (e.g., microplastic pollution impacts). Her work integrates circular economy principles into energy systems while addressing unintended consequences across UN Sustainable Development Goals. Recent publications (2024-2025) demonstrate heavy focus on machine learning applications for rail and construction safety, hydrogen infrastructure risk analysis, and science denial mitigation. Key patterns show cross-industry adaptation of AI for incident prediction, regulatory gap analysis for emerging energy systems, and socio-technical approaches to reconcile sustainability goals with operational realities. Scientific recognition includes: Erb Post-Doctoral Fellowship (University of Michigan) Dow Sustainability Research Fellowship (Ross School of Business) Dr. Lefsrud mentors graduate students through industry-integrated projects like her Sustainable Design course where teams generated patents and city solutions. Her research secures Alberta Innovates funding with 1:4 industrial-to-federal matching, collaborating with Suncor, Transport Canada, and Canadian Standards Association. Grants target practical implementations including railcar inspection systems and hydrogen safety protocols. She co-founded Insight Risk Systems and leads the Lefsrud Lab, prioritizing inclusive teams with under-represented groups (women, Indigenous, LGBTQ2S+, neurodiverse) to tackle 'wicked problems' in sustainability. The lab leverages interdisciplinary partnerships across engineering, computer science, psychology, and environmental sociology for real-world risk management solutions.

• Digital Strategy
• Business-IT Alignment
• Digital Entrepreneurship
• +۳ مورد دیگر

Dr. Yolande E. Chan is the Dean and James McGill Professor at McGill University's Desautels Faculty of Management. She previously served as Associate Dean of Research and held the E. Marie Shantz Chair at Queen’s University’s Smith School of Business. Her academic career spans roles in research leadership, including Associate Vice-Principal (Research) at Queen’s and directorships in innovation centers. Chan’s expertise lies in digital strategy, business-IT alignment, and knowledge-driven innovation. She holds a PhD from Western University’s Ivey Business School, an M.Phil. from Oxford (as a Rhodes Scholar), and degrees in Electrical Engineering from MIT. Education: Ph.D. in Business Administration (MIS), Ivey Business School, Western University (1992) M.Phil. in Management Studies, University of Oxford (1984) S.M. & S.B. in Electrical Engineering & Computer Science, MIT (1982) Her research focuses on digital innovation, IT alignment, and strategic improvisation. Over 100 peer-reviewed articles appear in top journals like Journal of Strategic Information Systems and MIS Quarterly . Awards include the AIS LEO Award, Distinguished Cum Laude membership, and the James McGill Professorship. Chan’s work bridges theory and practice, emphasizing technology’s role in fostering agility and societal impact. Her leadership spans grants totaling millions, including SSHRC-funded projects on inclusive innovation and rural economic development. She co-edits the Journal of Strategic Information Systems and advocates for diversity and equity in academia. Chan’s career reflects a commitment to advancing both scholarly rigor and real-world business challenges.

Dubravko Radicمشاهده پروفایل

استاد

• Service Management
• Price Management
• Applied Microeconometrics
• +۵ مورد دیگر

Dubravko Radic serves as Professor of Service Management at the University of Leipzig's Faculty of Business and Economics since 2009, while simultaneously holding the position of Deputy Head of the Price and Service Management group at the Fraunhofer Center for International Management and Knowledge Economics IMW since 2013. His academic career spans multiple institutions including the University of Wuppertal where he completed his habilitation, and the University of Frankfurt am Main where he earned his doctorate in statistics and econometrics. Doctorate (Dr. rer. pol. summa cum laude): Johann Wolfgang Goethe-Universität Frankfurt a.M. (2004) Habilitation: Bergische Universität Wuppertal (2009) Diplom-Volkswirt: Johann Wolfgang Goethe-Universität Frankfurt a.M. (1999) Research Stay: University of California Davis (2008) Professor Radic's research centers on the intersection of empirical methods and business management, with particular emphasis on service pricing modeling, applied microeconometrics, and social interactions in service contexts. His work bridges theoretical econometric approaches with practical business applications, especially in the healthcare sector where he has led multiple Fraunhofer IMW projects including ASARob, NurMut, and ATMoSPHÄRE. His research methodology combines quantitative modeling with real-world case studies to address strategic and operational decisions in service organizations. His recent publications demonstrate a consistent focus on discrete choice modeling, game theory applications in marketing, and service innovation frameworks. The 2025 paper "Discrete Games in Marketing Research" presented at the Global Marketing Conference in Hong Kong exemplifies his approach of applying advanced econometric techniques to practical marketing problems, particularly in digital service contexts. His work shows an evolving trajectory from foundational service management concepts toward increasingly sophisticated modeling of strategic interactions in service markets. Professor Radic has extensive experience advising major corporations including Metro AG, Lilly Deutschland, IMS Health, Berlin Chemie, and Augustinum gGmbH. His practical projects at Fraunhofer IMW focus on translating academic research into actionable business solutions, particularly in healthcare digitization and service innovation. He has led the TRAIN@MINE project developing training tools for Vietnam's mining sector and contributed to studies on Big Data applications in health insurance. At the University of Leipzig, he leads research activities through the Institute for Service and Relationship Management, supervising multiple research projects that connect academic inquiry with industry applications. His team collaborates with international partners including the University of California Davis, University of Maryland, Northwestern University, and the Technion Israel Institute of Technology, creating a robust research ecosystem focused on service management innovation.