جست‌وجوی استاد و پژوهشگر

Selma Kadic-Maglajlicمشاهده پروفایل

دانشیار

• Dark-Side Behavior in B2B Sales Relationships
• Dark Side of Customer Behavior
• Social Media Analytics
• +۳ مورد دیگر

Selma Kadic-Maglajlic is an Associate Professor of Marketing at Copenhagen Business School (CBS) , where she also serves as an Associate Editor for Special Issues at Industrial Marketing Management . She holds a visiting professorship at Católica Porto Business School and has taught at institutions including the University of Ljubljana and Vienna University of Economics and Business. Dr. Kadic-Maglajlic earned her Ph.D. from the University of Ljubljana in 2013, with her dissertation recognized by the Institute for Market-Oriented Management at the University of Mannheim. Her research focuses on the dark side of human behavior in B2B sales , including ethical issues, customer incivility, and xenophobia's impact on service sabotage. She also explores social media analytics and strategic marketing decisions. Her work has been published in top journals like Journal of Business Ethics and British Journal of Management , and she has secured multiple national/international grants. Dr. Kadic-Maglajlic is a co-chair of CBS's B2B Marketing Research Cluster and serves on advisory boards for Includovate and Rootically . She has consulted for organizations including USAID Diaspora Invest and UN Women. Her teaching includes courses on professional selling and international marketing, with supervision topics covering AI in sales management and ethical sales team culture. Her recent articles analyze sales-service ambidexterity, anti-vaccination sentiment on social media, and xenophobia's role in tourism management. She actively collaborates on projects addressing global business challenges and the care economy in post-conflict regions like Bosnia and Herzegovina.

Ganesh Neelakanta Iyerمشاهده پروفایل

مدرس

• Software Engineering
• Agile Software Development
• Cloud Computing
• +۱۳ مورد دیگر

Ganesh Neelakanta Iyer is a Lecturer in the Department of Computer Science at the School of Computing, National University of Singapore (NUS). He holds a PhD (2012) and MSc (2008) from NUS and a B.Tech. in Computer Science and Engineering from Mahatma Gandhi University, India (2004), where he ranked first. He brings over a decade of industry experience from companies like Salesforce, NXP, and Progress Software, and prior academic roles at Amrita Vishwa Vidyapeetham and IIIT-Hyderabad. His research interests span Software Engineering , Cloud/Edge Computing , Machine Learning , AI for Cultural Heritage , and Software Engineering Education . He founded the STeAdS (Software Engineering and Technological Advancements for Society) research group in 2021, focusing on technology applications in healthcare, education, and traditional arts like Kathakali and Wayang Kulit. The recent publications highlight a strong trend in AI-driven educational technologies , including LLMs for curriculum customization, web-based DevOps learning platforms, and agile project management tools. Another major theme is AI in cultural preservation , with works on Kathakali gesture and facial expression recognition. A third stream involves distributed systems and networking , particularly in edge computing and federated learning. Faculty Teaching Excellence Award 2024, NUS AWS Educate Cloud Faculty Ambassador (2019, 2020) Certified Kubernetes Administrator (CKA) University Topper (First Rank, 2004) NUS Postgraduate Research Scholarship (2009–2012) Dr. Iyer mentors students through UROP, FYP, Master’s, and PhD projects, and has led numerous grants and initiatives in cloud computing education and AI for societal benefit. He has delivered workshops and keynote speeches across the USA, Europe, Australia, and Asia. He actively leads the STeAdS virtual research group, fostering global collaborations. As a maestro in Kathakali, he integrates traditional art with technology, composing and staging performances while applying AI to preserve and analyze this heritage.

• Marketing Strategy
• Distribution Channels
• Pricing
• +۵ مورد دیگر

Sourav Ray is a tenured full Professor of Marketing, Lang Chair Professor in Marketing, and Director of the Marketing Analytics Centre at the University of Guelph's Gordon S. Lang School of Business and Economics, Department of Marketing and Consumer Studies. Previously, he held the Michael Lee-Chin Family Professorship of Strategic Business Studies and Professor of Marketing at McMaster University's DeGroote School of Business, and served as Assistant Professor of Marketing at Concordia University's John Molson School of Business. Ph.D., Marketing, Carlson School of Management, University of Minnesota M.S., Aerospace Engineering, Texas A&M University B.Tech., Aerospace Engineering, Indian Institute of Technology (IIT) Kharagpur Professor Ray's research focuses on marketing strategy, distribution channels, pricing, innovation, governance, and technology. His work examines firm decisions including retail pricing, innovation collaboration, technology adoption (digital transformation), salesforce design, franchise systems, dealer network conflict, and omnichannel marketing. He investigates how customer and firm limitations in information processing impact business decisions, with growing interest in sustainability and climate stewardship implications. His research employs quantitative empirical methods, emphasizing theoretical rigor with practical relevance. His publication record spans top-tier journals including Journal of Marketing, Journal of Marketing Research, Marketing Science, and Journal of Business Venturing. His recent work shows increasing focus on digital transformation, B2B marketing, channel dynamics, and pricing strategies in technology-intensive industries. The research demonstrates consistent methodological sophistication with growing emphasis on practical business implications. Professor Ray serves as Associate Editor for the Journal of Business Research and provides advisory services to startups. His research demonstrates strong connections between theoretical frameworks and real-world business applications. Supervises multiple PhD students including Mohammad Reza Gharaei Khezri Pur, Rehan Khan, and Iman Sadeghi Mentored graduates now holding faculty positions at Cape Breton University, Mansoura University, Central Connecticut State University, Laurentian University, and William Patterson University Research supported through academic appointments and industry collaborations His research program bridges marketing theory with practical business applications, particularly in technology-driven industries. Current work explores how digital transformation reshapes marketing channels and strategies, with growing attention to sustainability considerations in business decision-making.

Jennifer M.I. Lohمشاهده پروفایل

استاد

• Organisational Psychology
• Organisational Management
• Human Resource Management
• +۶ مورد دیگر

Jennifer M.I. Loh is a Professor in Management and Human Resources at the University of Canberra's Canberra Business School. She is a fully registered psychologist with the Australian Health Practitioner Regulation Agency and holds memberships with the Australian Psychological Society (APS), American Psychological Association (APA), Academy of Management (AOM), Australia Human Resource Institute (AHRI), and the College of Organisational Psychologists. Her educational background includes a PhD in Organisational Psychology from the University of Queensland (awarded December 14, 2006) and an Honours Bachelor of Science degree from the University of Toronto (awarded November 30, 1998). Professor Loh's research focuses on Organisational/Industrial Psychology, Organisational Management, and Human Resource issues. She investigates counter-productive workplace behaviors including workplace bullying and cyber-bullying, toxic workplace culture, resilience and capacity building, cross-cultural management and communication, and gender equity. Her work particularly examines the underlying mechanisms responsible for wellbeing and organizational outcomes among vulnerable groups and the impact of technology usage on work performance, teamwork, and wellbeing. Through her research, she has developed expertise in both quantitative and qualitative methodologies, often employing cross-cultural comparisons between Australia, Singapore, and other international contexts. Her recent publications (2017-2025) demonstrate a strong focus on workplace incivility, bullying (including cyber-bullying), gender equity across different cultural contexts, and the impact of social media in workplace settings. She has published extensively in high-impact journals such as Computers in Human Behavior (Q1), Social Media and Society, and Gender in Management, with notable publications examining generational perspectives on workplace behavior, context collapse in social media, and women's career progression across cultural contexts. TEQSA Expert panel member Assistant Chief Editor for Frontier Organisational Psychology Active member of ANZAM, AHRI, AOM, and APS Professor Loh has successfully supervised numerous PhD/DBA students including Hae Jin Jang (University of Canberra, DBA on Kkondae bullying), Xinmei Wu (University of Canberra, DBA on service innovation through big data analytics), and Robin Ladwig (University of Canberra, PhD on trans and gender diverse individuals' work experiences). She has also supervised over a dozen Honours students at Edith Cowan University on topics related to workplace cyberbullying, incivility, and cross-cultural management. Her supervision interests align with her research expertise in Human Resource, Counter Productive Workplace Behaviours, Organisational Management, Positive Psychology, and Advanced Technology. Professor Loh is actively engaged in current research projects examining Human Resource practices, Leadership, Workplace incivility, bullying, Workplace cyberbullying, Social media context collapse, Impact of technological usage, Gender equity, and wellbeing in organizational contexts. She frequently delivers invited presentations on fostering inclusive workplace cultures and improving workplace dynamics, including recent engagements with Pathway to Politics for Women and U3A (University of the Third Age).

Marty Parkerمشاهده پروفایل

مدرس ارشد

• Strategic Management
• Supply Chain Management
• Operations Management
• +۲ مورد دیگر

Marty Parker is a Senior Lecturer at the University of Georgia's Terry College of Business in the Department of Management, leveraging 25+ years of industry experience in Supply Chain, Operations, and Executive Leadership. He serves as Academic Director for the Executive Education Leaders Academy and founded UGA's first Supply Chain Advisory Board to bridge academic curriculum with industry needs. Education: BS in Chemical Engineering from Virginia Tech (1987) MBA in Management from University of Georgia (2006) Research Focus: Parker's work centers on Strategic Supply Chain Management , Operational Process Improvement , and Leadership Development , emphasizing real-world applications through ERP/CRM systems (SAP, Salesforce) and simulation tools. His industry-academia integration drives curriculum innovation in logistics and operational excellence. Awards & Recognition: 2024 LinkedIn “Top Voice” badge (first UGA-affiliated recipient) 2023 Hugh O. Nourse Outstanding MBA Teacher Award Poets & Quants Favorite MBA Professor (Class of 2023) Five consecutive Terry College teaching/service awards (2020-2024) Student Impact: As “UGA’s Supply Chain DAWG” on social media, Parker actively mentors students through his extensive industry network, securing internships/jobs while leading initiatives like the Augusta National Golf Club logistics masterclass. His Executive Education courses focus on performance management and culture-building for organizational leaders. Leadership: Founder of Adaept Advising, providing interim COO/CSO services for operational turnarounds, and architect of UGA's Supply Chain Area of Emphasis curriculum.

• Marketing Innovation
• Branding
• Customer Relationship Management
• +۵ مورد دیگر

Inigo Arroniz serves as an Assistant Professor of Business at Randolph-Macon College, teaching Marketing Strategy, Consumer Behavior, Market Research, and Digital Marketing. Previously, he held positions at the University of Cincinnati and as a research fellow at Northwestern University's Kellogg School of Management. His educational background includes: PhD in Marketing, University of Central Florida, 2007 BA in Economics and Business Administration, Universidad Publica de Navarra, Spain, 1997 Dr. Arroniz's research centers on marketing innovation, branding, and customer relationship management, with specific expertise in innovation measurement, brand extensions, and advanced statistical methods including structural equation modeling. His work appears in journals such as MIT-Sloan Management Review and the International Journal of Research in Marketing. Analysis of his publications (2003-2016) reveals consistent focus on retail consumer behavior, business model innovation, and quantitative marketing methodologies, particularly examining SME service perception, salesforce trade-offs, and multidimensional innovation frameworks. His recognition includes: Best Track Paper, SEINFORMS (October 7, 2023) Dr. Arroniz teaches extensive business coursework including Principles of Marketing, Marketing Strategy, and Consumer Behavior across multiple course iterations. While student advising details are not specified, his publication record demonstrates active research engagement. No laboratory or research team affiliations are documented in available materials.

Bulent Mengucمشاهده پروفایل

استاد

• Multilevel Research Methods
• Sales and Sales Force Management
• Frontline Service Employee-Customer Interface
• +۵ مورد دیگر

Bulent Menguc is a Professor of Marketing at the Leeds University Business School, University of Leeds. He holds a Ph.D. from Marmara University (1994) and has held academic roles at institutions in New Zealand, Australia, Canada, England, and Turkey, including serving as Chancellor's Chair for Research Excellence at Brock University. His research focuses on multilevel research methods, salesforce management, frontline service dynamics, and market-focused strategies. Key research interests include customer-employee interfaces, analytics readiness, and strategic export marketing. He has published in top-tier journals like the Journal of Marketing and Journal of Marketing Research , earning recognition as one of the world's most influential scientists (2020). His editorial roles include Associate Editor for the European Journal of Marketing and editorial board memberships in leading journals. His work emphasizes the link between organizational structures, employee behavior, and customer outcomes. Notable contributions include studies on conflict resolution in service contexts, the role of analytics in firm performance, and the impact of managerial strategies on export ventures. He has held administrative leadership roles, including Head of Department at Leeds and Dean at Kadir Has University. Awards include his 2020 inclusion in the top 2% of global scientists. His research bridges theoretical frameworks with practical implications for enhancing service quality, employee engagement, and strategic decision-making in dynamic markets.

Aaron Burgessمشاهده پروفایل

استادیار

• Neuroeconomics
• Complex Adaptive Systems
• Academic Freedom in Religious Institutions
• +۵ مورد دیگر

Dr. Aaron Burgess is an Assistant Professor of Management at the Jetter School of Professional Studies, Mount Vernon Nazarene University (MVNU). He holds a Doctor of Education from Northeastern University, alongside Master's degrees in Organizational Leadership and Business from Mount St. Joseph University and Cincinnati Christian University. His academic career includes roles as Dean of the School of Business at Cincinnati Christian University (2013-2019), Director of Faculty Development, and extensive adjunct teaching experience across multiple institutions. Dr. Burgess's research focuses on neuroeconomics, complex adaptive systems theory applied to religious and educational institutions, leadership ethics, and adult learning strategies. His work bridges disciplines like neuroscience, organizational behavior, and religious studies, with notable contributions in academic freedom debates within religious universities and neuroscientific insights into decision-making processes. His professional presentations and publications span conferences such as the Society for the Scientific Study of Religion, Association for Politics and the Life Sciences, and the Accreditation Council for Business Schools and Programs. Key topics include congregational dynamics, ethical leadership frameworks, and leveraging complex systems theory to analyze institutional resilience. Besides academia, he has consulted for organizations like Nandina, Inc., Mayo Clinic, and Salesforce, specializing in performance management, learning technologies, and corporate training systems. His career demonstrates a strong commitment to ethical leadership development and adult education innovation.

Khai Chiongمشاهده پروفایل

استادیار

• Quantitative Marketing
• Machine Learning
• Econometrics
• +۴ مورد دیگر

Khai Chiong is an Assistant Professor at the Naveen Jindal School of Management (Marketing Area) of the University of Texas at Dallas . His research focuses on Quantitative Marketing , Machine Learning , Econometrics , Networks , and Empirical Industrial Organization . Education: PhD in Economics, California Institute of Technology (2015) BA, University of Cambridge (2010) His work bridges empirical industrial organization and machine learning , with a focus on dynamic discrete-choice models , graphical models , and network stability . He has developed drift-diffusion models to analyze mobile advertising response times and contributed to AI-driven hiring systems and procurement network analysis . Scientific Awards: Excellence in Teaching Award, Caltech (2014) John O. Ledyard Prize for Best Third Year Paper, Caltech (2013) Cambridge Commonwealth Trust Scholarship (2007-2010) AMA AI SIG Award for Best AI in Marketing Paper (2024) His publications demonstrate a trend of integrating statistical decision frameworks (e.g., minimax-regret ) with marketing applications such as A/B testing optimization , AI hiring tools , and retail behavior analysis . He also explores econometric methods for high-dimensional data and network theory in industrial organization .

D. Paul Ralphمشاهده پروفایل

استاد

• Software Engineering
• Research Methods
• Software Project Management
• +۵ مورد دیگر

D. Paul Ralph is a Professor of Software Engineering at Dalhousie University's Faculty of Computer Science in Halifax, Canada, where he directs the Dalhousie Software Engineering Lab (DalSEL). Recognized as one of the world's top 25 software engineering researchers by CSRankings and ScholarGPS, Dr. Ralph has published over 100 peer-reviewed articles in premier venues including IEEE Transactions on Software Engineering and the ACM/IEEE International Conference on Software Engineering. His research program investigates the intersection of software engineering, human-computer interaction, and project management with a focus on improving the environmental, social, economic, and technical sustainability of software development. Dr. Ralph's work has been adopted by leading technology companies including Adobe, Amazon, AT&T, Broadcom, Canon, IBM, Google, HP, Microsoft, Netflix, Oracle, PayPal, Samsung, Salesforce, Yahoo!, and Walmart. He advocates for evidence-based practices and is editor-in-chief of the Empirical Standards for Software Engineering Research. Dr. Ralph's recent publications demonstrate a strong emphasis on methodological rigor in software engineering research, with particular attention to socially sustainable software development, empirical standards, and the implications of emerging work models. His research consistently bridges theoretical foundations with practical applications, challenging opinion-based approaches like SWEBOK and Waterfall models in favor of empirically validated practices. He emphasizes human-centered research with direct participant involvement rather than AI or repository mining approaches. Editor-in-chief of Empirical Standards for Software Engineering Research Ranked among world's top 25 software engineering researchers by CSRankings and ScholarGPS Recipient of multiple research awards Research funding from Google, NSERC, and CIHR As a mentor and educator, Dr. Ralph actively supervises postdoctoral fellows, PhD students, and Master's students at Dalhousie University. His lab maintains a collaborative culture with strong industry connections and prioritizes supporting researchers from underrepresented groups. He is deeply committed to advancing research methodology in software engineering and has contributed significantly to conference programs, serving on committees for ICSE, EASE, ESEC/FSE, and other major venues.

A. Murat Hattatمشاهده پروفایل

دانشیار

• Marketing
• Consumer Behavior
• Digital Marketing
• +۵ مورد دیگر

Dr. A. Murat Hattat serves as an Associate Professor of Marketing within the College of Business and Information Technology at Lawrence Technological University. He holds a Ph.D. in Business Administration with a concentration in Marketing from the University of Rhode Island and brings prior industry experience from managerial roles in marketing, product management, and professional selling at multinational corporations. His educational qualifications include: Ph.D. in Business Administration (Marketing Concentration), University of Rhode Island Dr. Hattat's research program investigates consumer interpretation and responses to product and brand information, with a particular emphasis on ingredient labeling, nutrition facts, and branding in food, health, and retail contexts. His scholarly work has appeared in reputable journals such as Psychology & Marketing, the Journal of Marketing Theory and Practice, and the European Journal of Marketing, and he regularly presents at major international conferences including ACR and AMA. He has held significant leadership roles including Chair of the Faculty Council and Chair of the AACSB Faculty Development Committee, while also serving on the Faculty Senate, AACSB Mission & Strategic Planning Committee, Curriculum and Standards Committee, and Assessment Committee. His contributions extend to journal and conference reviewing, community partnerships, and student advising. Dr. Hattat's teaching methodology integrates experiential learning through business simulations, industry guest speakers, hands-on data analytics projects, and industry certifications including Salesforce, HubSpot, Tableau, and Google Analytics. He teaches undergraduate courses such as Professional Selling, Digital Marketing, Consumer Analytics, Consumer Behavior, Principles of Marketing, Strategic Management, and Business Policy, along with graduate-level Strategic Marketing Management. He has secured external funding as Senior Personnel on an NSF MRI grant supporting interdisciplinary consumer neuroscience research and mentors students through independent studies and academic advising.

Guclu Atincمشاهده پروفایل

استاد

• Corporate Governance
• Strategic Management
• Research Methods
• +۳ مورد دیگر

Guclu Atinc serves as Professor of Management in the Department of Management and Economics at East Texas A&M University's College of Business, where he has held academic appointments since 2010. His career progression includes Assistant Professor at Drake University (2011-2014), Senior Lecturer at UT Tyler (2010-2011), and rising through ranks at East Texas A&M from Assistant (2014) to Associate (2014-2022) to full Professor (2022-present). Educational background: DBA, Louisiana Tech University (2011) MBA, Louisiana Tech University (2009) MBA, Troy University (2000) B.S. in Management, Troy University (1999) Dr. Atinc's research centers on corporate governance dynamics, particularly board composition effects and strategic leadership transitions. His work examines how female directors influence firm outcomes, CEO succession mechanisms, and governance challenges in entrepreneurial ventures. He integrates methodological rigor from organizational research practices into all studies, emphasizing statistical validity in correlational analyses. His publication record (2015-2022) reveals consistent output in high-impact journals like Management Decision and Journal of Organizational Behavior , with thematic evolution from methodological foundations (2015-2016) toward gender diversity in boards (2022) and CEO transition dynamics (2020). Cross-national governance comparisons and entrepreneurial firm studies represent significant sub-themes. Recognition includes: Paul W. Barrus Distinguished Faculty Teaching Award (2017) Southwest Academy of Management Best Paper Award (2016) Midwest Academy of Management Outstanding Reviewer Award (2013) Committed to student development, Dr. Atinc emphasizes real-world application in courses like MGT 527 Strategic Management. His prior industry experience in international sales and banking informs practical classroom approaches. While specific grant details aren't provided, his 3,000+ citation count demonstrates substantial scholarly influence in management literature.

Chong Ho Alex Yuمشاهده پروفایل

استاد

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

Dr. Chong Ho "Alex" Yu is a Professor and Program Director of Data Science and Artificial Intelligence at Hawaii Pacific University, where he is affiliated with the College of Natural and Computational Sciences and the Department of Mathematics. With dual Ph.D.s in Measurement, Statistics and Methodological Studies and Philosophy from Arizona State University, Dr. Yu brings a unique interdisciplinary perspective to his work at the intersection of data science, statistics, and philosophical inquiry. Dr. Yu's educational background includes: Ph.D. in Measurement, Statistics and Methodological Studies, Arizona State University Ph.D. in Philosophy, Arizona State University M.A. in Theology, Azusa Pacific University M.Ed. in Educational Psychology, University of Oklahoma MHR in Human Relations, University of Oklahoma B.S. in Mass Communication, Bemidji State University B.A. in Visual Arts, Bemidji State University Graduate Certificate in Public Health, University of Arizona Graduate Certificate in Liberal Studies, Hamline University Certificate in History and Philosophy of Science, Arizona State University Dr. Yu's research interests span multiple domains with a focus on data science and machine learning methodologies. He is particularly interested in alternate and emerging research methods including exploratory data analysis, data visualization, and item response theory. His work also examines philosophical aspects of research methodologies such as causal inferences, the nature of latent constructs, and abductive reasoning. Additionally, he conducts cross-cultural comparisons in STEM education using international assessments like PISA, PIAAC, and TIMSS. As Vice President for Statistics Education and President-elect of the Southern California Chapter of the American Statistical Association (SCASA), he actively disseminates knowledge through a weekly newsletter and manages the statistics and data science newsroom on SCASA's website. Dr. Yu's extensive publication record demonstrates his expertise across multiple disciplines. His recent work shows a clear trend toward applying data science and machine learning techniques to diverse fields including healthcare, education, and psychology. He has made significant contributions to understanding the relationship between well-being and academic performance using large-scale assessment data, as well as developing applications of machine learning in educational science. His work often bridges theoretical statistical concepts with practical applications, reflecting his commitment to making data science accessible and relevant across disciplines. Dr. Yu has received numerous professional accolades including: Three-time winner of the SAS faculty scholarship (2016, 2017 SAS Global Forum and 2017 Western Users of SAS Software Conference) Distinguished SAS Educator Award in 2021 Vice President for Statistics Education of the Southern California Chapter of the American Statistical Association President-elect of the Southern California Chapter of the American Statistical Association As an educator, Dr. Yu is committed to staying current with industry developments to provide students with cutting-edge skills. He regularly attends conferences and workshops run by leading data analytics companies including SAS Institute, Salesforce (Tableau), and Amazon Web Services. His dedication to connecting academic knowledge with industry needs has resulted in a curriculum that prepares students for real-world data science challenges. Dr. Yu teaches courses including Statistics, Pre-Calculus, Probability, Applied Statistics, Data Science and Machine Learning, Data Visualization, Data Ethics, and Text Mining and Unstructured Data. Dr. Yu maintains active research collaborations across multiple institutions and disciplines. His work often involves interdisciplinary teams examining topics at the intersection of data science, healthcare, and education. Through his leadership as Program Director of Data Science, he has developed initiatives that connect students with industry professionals and real-world data challenges.

• Entrepreneurship
• Start-up Strategies
• Innovation
• +۳ مورد دیگر

Peter Bagley serves as Professor of Entrepreneurship at Hult International Business School in Boston, leveraging over 30 years of industry experience across executive leadership, startup ventures, and corporate strategy implementation. His academic roles include teaching Start-Up Strategies and New Venture Innovation courses at Bentley University and MIT, alongside prior service as Program Director at Babson College Blank Entrepreneurship Center. His research and teaching focus on practical entrepreneurship frameworks, emphasizing real-world business skill development, tool management, and confidence building through case studies from IBM, Bank of America, SalesForce, and Raytheon. Bagley bridges academic theory with operational execution in B2B software management and technology-driven ventures. Currently holding dual roles as Senior Director at SageIndex and Board Member for three Massachusetts Innovation Institute startups, he integrates active industry engagement into pedagogical practice. His methodology prioritizes actionable business strategies over theoretical abstraction, reflecting extensive CEO experience across four tech startups and marketing leadership in trade ventures.

Evy Sakellariouمشاهده پروفایل

دانشیار

• Creativity
• Innovation Management
• Strategic Foresight
• +۵ مورد دیگر

Evy Sakellariou serves as Associate Professor of Creativity and Innovation and Gen AI Innovation Lead at the Foresight & Creativity Hub within Kingston Business School, Kingston University. She concurrently holds the position of PG Course Director for the MSc Innovation Management and Entrepreneurship program and founded the 'Women4AInnovation Futures' think tank to advance female leadership in Gen AI-driven innovation. Her academic credentials include: Doctorate in Business Administration, University of Surrey UK (Unilever funded studentship) MBA, School of Business, Loyola University of Chicago USA (Honors Degree, Module student scholarship) BBA, School of Business Administration, University of Piraeus Greece (Class Valedictorian) Senior Fellow Higher Education Academy (2021) Fellow Higher Education Academy (2018) RISE Research Leadership Academy KU Graduate (2023) Fellow Institute of Innovation and Knowledge Exchange (2022) Certified Management and Business Educator (2022) Fellow Chartered Institute of Marketing Her research investigates the confluence of creativity, innovation, and strategic foresight through emerging technologies, with particular emphasis on human-led Generative AI applications. She explores underground (hidden) creativity within organizational paradoxes, storytelling for future-oriented sensemaking in new product development, and the role of playfulness in AI-augmented innovation. Her recent work focuses on how women leaders can harness Gen AI while navigating resistance and building organizational resilience. Analysis of her publication trajectory reveals a significant pivot toward Gen AI integration since 2023, establishing frameworks for human-centered AI implementation in innovation management and education. Her work consistently bridges qualitative methodologies with practical applications, emphasizing sensemaking under uncertainty and the translation of user insights into foresights. The research demonstrates growing industry relevance through collaborations with major organizations and thought leadership in female leadership contexts. Her scientific recognition includes: Fellowship of the Chartered Institute of Marketing UK Fellowship of the Institute of Innovation and Knowledge Exchange Achievement of the Year 2024: Ranked Top 5 in Student Evaluations Across All Kingston University Modules Impact Award Nomination 2020: Kingston University London Runner-up Lecturer of the Year 2019: Kingston Business School Best Paper Track Award 2016: Innovation and Product Management Development Conference Senior Fellow Higher Education Academy (2021) As an academic advisor, she supervises doctoral research on underground creativity, storytelling for innovation, and AI-tacit knowledge integration, while leading curriculum development for entrepreneurship programs. Her grant portfolio includes the Gen-AI Innovation Kickstarter Award for 'The Trusted Innovation Gen AI Mentor' and REF21/REF27 panel membership. Industry knowledge exchange occurs through the 'Women4AInnovation Futures' think tank, which partners with Unilever, Salesforce, British Telecom, and KPMG. She directs the Foresight & Creativity Research Hub and founded the 'Women4AInnovation Futures' initiative, which convenes senior female leaders from FTSE 100 companies to co-create Gen AI implementation strategies. The think tank produces bi-monthly thought leadership publications and hosts workshops at venues like London City Hall, focusing on transforming uncertainty into innovation opportunities through collective sensemaking.