جست‌وجوی استاد و پژوهشگر

Sang Eun Wooمشاهده پروفایل

استاد

• Industrial-Organizational Psychology
• Personality and Individual Differences
• Workplace Motivation and Behavior
• +۷ مورد دیگر

Sang Eun Woo is a Professor in the Department of Psychological Sciences at Purdue University's College of Health and Human Sciences. She also serves as Chair and Director of the Susan Bulkeley Butler Center for Leadership Excellence. Her research bridges Industrial-Organizational Psychology with emerging technologies, focusing on personality and motivation in workplace phenomena. PhD in Psychology (2009), University of Illinois at Urbana-Champaign Research Areas: Specializing in personality assessment, career mobility, and AI integration in organizational settings. Key interests include: Openness to Experience Voluntary Turnover and Work Withdrawal Professional Networking Motives Machine Learning in Psychological Assessment Person-Centered Approaches Academic Contributions: Recent work examines AI ethics, algorithmic bias, and cross-cultural adaptation in workplace technology. Her lab (LUCID) explores big data applications for enhancing measurement quality in psychological research. Leadership: As director of the Butler Center, she advances leadership excellence initiatives. Her consulting focuses on I-O psychology applications for HR and assessment challenges.

Andrea Pontiggiaمشاهده پروفایل

استاد

• Organization Theory and Design
• Global Organization and Internationalization Strategy
• Organizational Innovation
• +۵ مورد دیگر

Andrea Pontiggia is a Full Professor of Organization Theory and Design at the Department of Management, Università Ca’ Foscari, Venice , and an Affiliate Professor of Leadership, Organization and Human Resources at SDA Bocconi School of Management . Since 1985 he has designed and delivered executive education worldwide, co-directs the International Management to Asia Lab at Ca’ Foscari, and co-founded the ELIM Research Center with Zhejiang University in China. Education: Ph.D. in Management, Università Bocconi MSc in Economics and Management (specialization in Organization), Università Bocconi Research Interests: His research revolves around the design of global organizations, the internationalisation strategies of medium-sized multinationals, organisational innovation, standards and standardisation processes, and the interplay between open-source innovation and intellectual property rights. Particular attention is devoted to how firms learn from and contribute to emerging markets—most notably China and the broader Far East. Recent Publications: Across 2020–2023 he has edited two books and authored or co-authored four articles that collectively examine how organisations adapt to globalisation, leverage machine-learning analytics for performance management, and use international expansion as a vehicle for innovation and renewal. Scientific and Institutional Roles: Referee and review editor for Frontiers in Psychology and Frontiers in Communication Member of the Scientific Board of Scientific Foundations and Business Schools Member of the Scientific Committee of the Symbola Foundation Former member of the Board of Directors, Ca’ Foscari Foundation Visiting Professor at Harvard University (2017) and numerous European, Chinese and US institutions Executive Education & Program Leadership: He designs and directs open-enrolment and custom programs for MBA, EMBA, Executive MBA and MIEM cohorts at SDA Bocconi, and has consulted for leading European multinationals across multiple industries. Labs & Collaborative Centers: He co-directs the International Management to Asia Lab at Ca’ Foscari, is a founding member of the ELIM Research Center (Zhejiang University & Ca’ Foscari joint venture), and participates in the China Lab at SDA Bocconi.

• Clinical Trials
• Biostatistics
• Machine Learning
• +۶ مورد دیگر

Ondrej Blaha is an Associate Research Scientist in Biostatistics at the Yale School of Public Health, affiliated with the Yale Center for Analytical Sciences (YCAS) and the Yale Cancer Center. His research focuses on clinical trials, machine learning, and statistical methods for survival analysis. Primary Appointment: Department of Biostatistics, Yale University Key Roles: Director of Biostatistics Internship Program at YCAS, core statistician at Yale Cancer Center Blaha’s research spans clinical trials (early phase, cluster randomized, pragmatic designs), Bayesian methodologies, information borrowing, and advanced analysis of sequencing data (proteogenomics). He emphasizes applications in oncology (leukemia, breast, pancreatic, skin cancers) and public health data science. His recent publications address non-proportional hazards, clinical trial design, leukemia outcomes, and machine learning in clinical settings. Blaha holds a PhD in Biostatistics from LSU Health Sciences Center, an MSc from Hasselt University, and a BC in General Mathematics from Charles University, Prague. At YCAS, he contributes to study design, data management, and manuscript preparation, with expertise in cluster randomized trials and statistical modeling. He mentors graduate students and early-career collaborators but has no listed scientific awards.

• Response Bias Detection
• Psychological Measurement Validity
• Implicit Association Tests (IAT)
• +۵ مورد دیگر

Jessica Röhner serves as Professor of Personality Psychology and Psychological Diagnostics at Otto-Friedrich-Universität Bamberg's Faculty of Social Sciences. Her research bridges psychological assessment methodology with contemporary societal challenges through leadership of the Response Bias Research Lab at the ZIAI Center for Artificial Intelligence. Her research focuses on response bias detection , employing a distinctive multimethod approach integrating: Diffusion model analyses of response latencies Machine learning classification of faking patterns Qualitative content analysis of cognitive faking processes Experimental manipulation of frame-of-reference effects Current work examines how intelligence and gender interact to shape faking behaviors in personnel selection contexts, with significant implications for assessment validity. Dr. Röhner's publication record shows consistent output in top-tier journals including Behavior Research Methods and International Journal of Selection and Assessment , with recent emphasis on: Faking strategy taxonomies IAT faking detection limitations AI applications in bias-resistant assessment Intersectional analysis of social origin and gender Her research program is supported by substantial funding: DFG grant (2024-2028): €784,000 for multimethod faking analysis Three internal University of Bamberg grants (2023-2025): €127,000 total Prior Equal Opportunities Office funding for faking detection projects As an active member of the Society for Personality and Social Psychology and Association for Psychological Science, she contributes to methodological advancement through tutorials like her 2024 R-based IAT computation guide. Her lab provides structured graduate training emphasizing methodological rigor while fostering intellectual independence through embedded project leadership roles.

• Management Control Systems
• Public-Private Partnerships (PPP)
• Infrastructure Project Management
• +۲ مورد دیگر

Guillermo Atares is a Part-time Professor in the Academic Area of Management and Control Systems at IAE Business School, a position held since 2000. He concurrently serves as Business Solutions Manager at Abertis Mobility Services in Barcelona, Spain, leveraging over 30 years of infrastructure sector expertise. His academic affiliations include teaching roles at IESE Business School in Spain and extensive course development for IAE's Executive MBA and corporate programs. Education: Master in Business Administration, IAE Business School Civil Engineer, University of Buenos Aires His research and professional focus spans: Management Control Systems : Design and implementation of performance measurement frameworks Public-Private Partnerships : Market analysis and project consulting for infrastructure development Operational Strategy : Optimization techniques for construction and service industries He has developed specialized teaching materials on cost analysis and organizational control mechanisms. Recent publications (2020-2024) explore emerging business dynamics including AI adoption, sustainable corporate strategies, workplace evolution, and economic recovery patterns. His articles demonstrate consistent focus on practical applications of management theory in volatile environments. Professional milestones include: Leadership of major cross-border infrastructure projects Consulting for multinationals in finance, energy, and agriculture Operational roles in transportation concessions (e.g., Mercovía SA's Argentina-Brazil bridge)

• Cyber Security
• Enterprise Networks
• Machine Learning
• +۲ مورد دیگر

Ian Harris serves as a Lecturer within the School of Computing, Engineering & Technology at Robert Gordon University , where he contributes to academic and research initiatives in cybersecurity domains. His research program centers on: Cyber Security (particularly industrial control systems) Enterprise Networks infrastructure Machine Learning applications for security Computer Network Performance optimization Digital Forensics methodologies Dr. Harris's recent scholarly output includes a 2021 comparative study on malware detection for industrial control systems, reflecting his focus on securing critical national infrastructure through adaptive security frameworks that address legacy system constraints. His work bridges theoretical machine learning approaches with practical operational technology security challenges. Teaching responsibilities encompass core cybersecurity curriculum including Computer Networks, Digital Forensics, and Cyber Security courses. His 2015-2018 project developing integrated HR management software demonstrates applied systems development expertise, though current grant funding isn't documented. Students benefit from his industry-relevant research perspective within Robert Gordon University's computing programs.

Larissa Zierowمشاهده پروفایل

استاد

• Economics of education
• Labour economics
• Applied econometrics
• +۳ مورد دیگر

Professor Larissa Zierow is a Professor of Economics at ESB Business School, Reutlingen University, where she has been employed since September 2022. She serves as Programme Director of the BSc International Management Double Degree (IMX) program, German-French Link Liaison professor, Director of the Friedrich-List-Institute, and liaison professor for the German National Scholarship Foundation. Her academic career includes previous positions as Deputy Head of Division and Economist at the ifo Centre for the Economics of Education in Munich (2017-2022). Professor Zierow's research focuses on Economics of education , Labour economics , Applied econometrics , and Inequality . Her current research projects examine interventions to improve study skills, first-generation university students, the impact of civic education on civic engagement, and how the timing of income payments affects household behavior. Her work often employs quasi-experimental methods to evaluate educational policies and their long-term effects. Her recent publications (2023-2025) demonstrate a strong focus on education policy evaluation, with particular attention to school reforms, educational inequality during the pandemic, early childhood education impacts, and the relationship between economics education and entrepreneurial behavior. Her research spans multiple subfields including educational assessment, child development, labor market outcomes, and social policy evaluation. Active research projects include 'We help. You grow.' (study skills intervention) 'First generation students' research initiative Analysis of civic education impacts Research on family benefit payment timing effects Professor Zierow maintains significant external affiliations as a Research Professor at the ifo Centre for the Economics of Education and as a member of multiple professional economics associations. She supervises research through the Friedrich-List-Institute which she directs, providing opportunities for students interested in empirical economics research. Her teaching focuses on Macroeconomics, Labour economics, Applied Econometrics, and International Economics, reflecting her research expertise and methodological strengths.

Klaus Thielمشاهده پروفایل

استاد

• Data Science
• Business Analytics
• Machine Learning
• +۹ مورد دیگر

Prof. Dr. Klaus Thiel serves as Professor at Westphalian University of Applied Sciences within the Department of Business and Information Technology (FB 5), concurrently holding the position of Managing Director at the Institute for Empirical Economic and Social Research (IWS) and maintaining affiliation with the Westphalian Institute of Health. His academic foundation includes Economics studies followed by doctoral research in Economic Statistics under Prof. Dr. Arminger at Bergische Universität Wuppertal, where he also served as Scientific Assistant prior to his professorship. Research spans empirical data-driven business transformation with core emphases on Customer Relationship Management (Customer Journey/Segmentation/Lifecycle), Service Profit Chain dynamics, Digital Business Models , and Sustainability strategies . Technical expertise integrates Machine Learning and Big Data analytics into marketing, HR systems (Workforce Analytics/Candidate Journey), supply chain optimization, and digitalization across automotive/logistics/agriculture sectors. Active thesis supervision covers greenwashing analysis, digital leader frameworks, predictive analytics applications, and transformation processes in emerging business models. Leadership extends to directing the Institute for Empirical Economic and Social Research, driving interdisciplinary projects at the intersection of economic modeling and social impact assessment.

• Artificial Intelligence
• HR Analytics
• IoT-based Systems
• +۵ مورد دیگر

Naila Aaijaz serves as an Associate Professor in the Master of Management program at the University of Niagara Falls Canada, with prior faculty roles at University Malaysia Kelantan. Her academic career spans global institutions, focusing on business innovation through technology integration and interdisciplinary research. Her educational foundation includes a PhD, MBA, and current DBA candidacy in Gen AI, complemented by elite professional credentials: PMP® (Project Management Professional) C.Mgr. (Certified Manager) Fellow of the Royal Society of Arts PG-AIML (Postgraduate in Applied AI & Machine Learning) LLQP (Life License Qualification Program) CCLP Candidate (Canadian Construction Leadership Program) Professor Aaijaz's research drives innovation in artificial intelligence, HR analytics, and IoT systems. She has secured German utility patents for employee development frameworks while publishing extensively on AI-driven salary prediction models, green HR practices in India, and Canadian inflation dynamics. Her work bridges academic theory with business applications, particularly in sustainability and talent management. Her scholarly impact is recognized through prestigious awards: Best X-Culture Educator Award, Academy of International Business (2022) Best Portfolio Award, PMI Lakeshore Ontario Chapter (2023) Consecutive Best Faculty Advisor honors from ENACTUS (2011-2012) Fellow of the Royal Society of Arts (2011) As an educator, she revolutionizes business instruction through AI/ML-enhanced methodologies in Finance for Managers and Data Analytics courses. Her mentorship excellence is evidenced by ENACTUS awards and upcoming publications like 'The Art and Science of Talent Acquisition: 50 Global Case Studies.' She actively shapes global discourse as a reviewer for Academy of International Business and Academy of Management.

• Social Media
• Sharing Economy
• Artificial Intelligence
• +۴ مورد دیگر

Matthes Fleck serves as Professor and Director of the Institute for Communication and Marketing (IKM) at Lucerne University of Applied Sciences and Arts, School of Business, leading research initiatives since 2010 with expertise spanning digital communication, social media strategy, and AI-driven marketing analytics. His leadership drives industry-relevant projects examining Switzerland's sharing economy landscape and intelligent transportation systems. Academic credentials include a Doctorate in Business Administration (Dr. oec.) from University of St. Gallen (2011) and Master of Arts in Journalism and Business Administration from Freie Universität Berlin (2006), establishing an interdisciplinary foundation for his research. This dual expertise enables rigorous analysis of corporate communication through both business strategy and media theory lenses. Research focuses on digital transformation's impact on business communication, with three interconnected pillars: social media dynamics in corporate contexts (examining CSR blogging and stakeholder engagement), sharing economy strategic frameworks (particularly through projects like Sharecity), and artificial intelligence applications for marketing analytics. Methodologically, Fleck pioneers natural language processing techniques to analyze economic news coverage, corporate culture statements, and chatbot efficacy—evidenced by his 2022 agenda-setting study of pandemic-related economic reporting and 2021 assessment of AI mental health solutions for elderly populations. Recent publication trends (2020-2022) reveal intensified focus on pandemic-era digital adaptations, with 60% of recent work applying computational linguistics to crisis communication and health tech. Cross-cutting themes include ethical considerations in AI deployment, data-driven branding for SMEs, and social media's evolving role in stakeholder capitalism—demonstrating consistent alignment between technical methodology and strategic business application. No scientific awards or major honors were documented in source materials. Research leadership manifests through continuous project funding including "Mobile als Innovator in Marketing" (2017), "B2B Social Media" (2014), and current AI/mobility initiatives, though specific grant amounts remain undisclosed. As IKM Director, Fleck manages a multidisciplinary team conducting industry-partnered research in mobile marketing analytics and social media impact measurement, positioning the institute as Switzerland's hub for applied communication science in digital business transformation.

• Work and Health
• Health Diagnostics
• Data Science
• +۴ مورد دیگر

Dr. Patric Wyss is a Research Associate at the School of Applied Psychology, University of Applied Sciences Northwestern Switzerland (FHNW) and concurrently serves as a Research Associate at the Institute for Social and Preventive Medicine (ISPM), University of Bern. His interdisciplinary work bridges psychology, data science, and healthcare, focusing on innovative approaches to health diagnostics and workplace mental health. Dr. Wyss completed his academic training at the University of Bern, Switzerland with a Doctorate in Biomedical Sciences (2019-2022), Master's degree in Statistics and Data Science (2017-2020), Master's degree in Psychology (2014-2017), and Bachelor's degree in Psychology with a Minor in Mathematics (2010-2014). His research interests center on work and health, predicting health variables with complex algorithms, and data-driven personalized health diagnostics. Dr. Wyss has made significant contributions to dementia diagnosis through data-driven approaches, cognitive assessment tools, and digital interventions for mental health. His work often integrates machine learning with clinical psychology to develop predictive models for health outcomes. Analysis of his recent publications reveals a strong focus on neurodegenerative diseases, particularly dementia and cognitive decline in aging populations. His research increasingly incorporates digital health technologies, virtual reality, and algorithmic approaches to develop personalized diagnostic tools. The publications demonstrate a progression from fundamental cognitive neuroscience to applied health diagnostics with practical workplace applications. Dr. Wyss has been actively involved in several significant projects including Digital Balance, Healthy@Work, and work-related stress and mental disorders in the workplace. His current position at the Institute for Mental and Organizational Health at FHNW focuses on how digitalization, social upheavals, and new forms of work present both opportunities and challenges for mental and organizational health. His professional activities include research collaboration across multiple institutions, development of digital assessment tools, and investigation of HR analytics applications for health monitoring. Dr. Wyss has also contributed to the development of serious games for cognitive assessment and rehabilitation, particularly for older adults and patients with neurological conditions.