Kai-Yu Wang is a Professor of Marketing at the Goodman School of Business, Brock University. His research spans a wide range of topics in marketing, consumer behavior, and digital technologies, with a particular focus on service recovery, augmented reality, social media marketing, and brand management. Research Interests: Consumer behavior in digital environments Service recovery strategies in social media and chatbot contexts Augmented reality applications in marketing and consumer engagement Brand value co-creation and community building Cross-cultural consumer psychology His recent work delves into the nuances of consumer interactions with emerging technologies like chatbots and AR, examining how these tools influence customer relationships and decision-making processes. Contact Information: Email: kwang@brocku.ca Phone: 905 688 5550 x5597
Hannu Saarijärvi is a Professor in the Faculty of Management and Business at Tampere University, specializing in Marketing. His research bridges consumer behavior, retail innovation, and data-driven health studies. Based in Tampere University's City Centre Campus, he explores transformative retailing and societal impacts of consumer data. University: Tampere University School: Faculty of Management and Business Department: Business Studies Email: hannu.saarijarvi@tuni.fi His research focuses on consumer behavior in omnichannel and second-hand retailing, data analytics using loyalty card datasets, and health research linking maternal experiences to dietary patterns. Recent studies examine sustainable diets , alcohol consumption dynamics , and food waste reduction . Key article trends highlight loyalty card data applications in health informatics , retail transformation , and sustainability . Collaborative studies with Finnish institutions analyze population-level consumption behaviors, legislative impacts, and digital service innovations. Professor Saarijärvi's work emphasizes value co-creation , customer experience , and strategic digitalization in retail contexts, with practical implications for public health and business models.
Scott McCabe is a Professor of Marketing at Birmingham Business School, University of Birmingham. He earned his PhD from the University of Derby in 2001, focusing on visitor motivations in the Peak District National Park, and holds an MA in Leisure and Tourism Studies from the University of North London (1993) and an HND in Leisure Studies from the University of Salford (1991). Current co-editor in Chief of the Annals of Tourism Research Editorial board member of Tourism Management Elected fellow of the International Academy for the Study of Tourism (2019+) His research spans social tourism , responsible tourism , tourist emotions , and socio-linguistic methodology , with significant work on wellbeing outcomes from supported holidays for disadvantaged families. He has contributed to Annals of Tourism Research , Journal of Travel Research , and other top-tier journals. Recent publications address topics like qualitative research sampling , tourism theory , dark tourism motivations , and smart destination engagement . His work combines tourism policy critique , consumer behavior analysis , and methodological innovation . Scientific awards include fellowships and leadership roles in international tourism research committees. He has served as VP for the International Sociological Association's Tourism Research Committee and co-chairs the Academy of Marketing's Tourism Marketing SIG.
Frank Chan is a Professor of Information Systems at ESSEC Business School in France, where he currently serves as Department Head of Information Systems, Decision Sciences and Statistics (2022-2025). He has been with ESSEC since 2013, progressing from Assistant Professor to Associate Professor and now Professor. His academic career focuses on the intersection of information systems, public administration, and organizational behavior. Dr. Chan earned his Ph.D. in Information Systems from Hong Kong University of Science and Technology (HKUST) in 2010 and completed his BBA in Information Systems and Finance from the same institution in 2003. His educational background provided the foundation for his research in technology implementation and electronic government. His research interests span electronic government, technology implementation, agile methodologies, and internet privacy. Dr. Chan's work examines how digital technologies transform public services, organizational processes, and citizen experiences. He investigates the human aspects of technology adoption, including leadership dynamics in agile teams, citizen satisfaction with e-government services, and privacy concerns in digital environments. His multidisciplinary approach combines insights from information systems, public administration, and organizational behavior. Analysis of Dr. Chan's publication record reveals a consistent focus on e-government systems and technology implementation, with increasing attention to agile development methodologies in recent years. His work demonstrates a progression from foundational technology adoption studies to more nuanced investigations of leadership dynamics, privacy concerns, and the societal impacts of digital initiatives. The interdisciplinary nature of his research bridges business, public administration, and technology domains. Pacific Asia Conference on Information Systems Best Associate Editor Award (2022) International Conference on Information Systems Outstanding Associate Editor Award (2019) MIS Quarterly Reviewer of the Year Award (2019) MIS Quarterly Reviewer of the Year Award (2018) Journal of Operations Management Ambassador Award (2017) Finalist for Journal of Operations Management Jack Meredith Best Paper Award (2012) As a Senior Editor for Information Systems Journal since 2021 (previously Associate Editor 2016-2020), Dr. Chan has significantly contributed to the academic community. He has served as Track Co-Chair for major conferences including International Conference on Information Systems and Pacific Asia Conference on Information Systems. His consulting work with United Nations ESCAP on digitalization of tax administrations in Asia demonstrates the real-world impact of his expertise. Dr. Chan teaches courses in Research Design, Quantitative Research Methods, and Digital Business at ESSEC.
Dr. Matteo Montecchi is a Senior Lecturer (Associate Professor) in Marketing at King’s Business School, King’s College London, where he also serves as Theme Lead for Sustainable Consumption at the Centre for Sustainable Business and Programme Director for the Strategic Marketing (Open Executive) programme. He teaches core modules such as Consumer Behaviour, Digital Marketing, and Research Methods, and leads executive education initiatives. Previously, he was a Senior Lecturer at the London College of Fashion, University of the Arts London, and has held visiting positions at Milan Politecnico, Università Cattolica del Sacro Cuore, and Università Federico II. Montecchi earned his PhD in Marketing from King’s College London, an MRes in Marketing from Birkbeck College, an Executive Master in Marketing and Sales from SDA Bocconi and ESADE, and a Bachelor’s in Business Economics from the University of Modena and Reggio Emilia. He also holds a PgCert in Academic Practice and is a Fellow of the Higher Education Academy (FHEA). His research focuses on the digital transformation of marketing, particularly the role of artificial intelligence and blockchain in enhancing transparency and trust. He investigates ethical engagement with diverse consumer groups, inclusion, and corporate responsibility, with a special interest in marginalized communities. His work integrates consumer behavior, digital interactions, and decision-making with technological innovation, offering actionable insights for sustainable and responsible business strategies. The most recent 15 publications reflect a strong trend in AI in retail, brand transparency, consumer trust, ethical data use, voice technologies, and social sustainability. His research spans journals in marketing, psychology, interactive marketing, and business ethics, demonstrating interdisciplinary impact. Scientific Awards: KingsCAT: Capture and Analysis Tool for Social Media Research at King’s College London (2024) – Recognized as part of a collaborative team for advancing digital research infrastructure and media analysis. Montecchi is actively involved in PhD supervision and is accepting new students. He has led research projects using social media analytics (KingsCAT) and has contributed to strategic debates on grand challenges in marketing. His work connects academic research with real-world managerial applications, particularly in digital strategy and ethical innovation. He is a key contributor to interdisciplinary research through tools like KingsCAT, which supports collaborative social media analysis, and his publications often involve co-authorship with experts in data science, psychology, and organizational behavior.
Dr. Carol Tan is a Senior Lecturer and Program Manager of the Master of Fashion Entrepreneurship at RMIT University's School of Fashion and Textiles. Her research focuses on fast-growth small-to-medium enterprises (SMEs), sustainable fashion practices, consumer behavior, and luxury fashion. She has been actively researching since 2003 and has contributed to peer-reviewed journals, media commentary, and industry reports. Dr. Tan holds six teaching awards, including the RMIT University Program Award for Innovation in Curricula (2013) and the 2011 Three-Minute Presentation Award. She currently supervises five PhD students. Research Highlights: Circular economy in fashion, virtual fashion consumption, blockchain in supply chains, and SME resilience. Media Engagement: Featured in ABC National Radio, The Age, Sydney Morning Herald, and industry reports on Australian fashion industry challenges. Committees: Member of RMIT's Learning and Teaching Committee (2024).
Michael Brito is a Lecturer in Mass Communications and Social Media at the School of Journalism and Mass Communications, College of Humanities and the Arts, San José State University. He is also a seasoned industry leader, currently serving as the Global Head of Data + Intelligence at Zeno Group, where he leads a 50-member analytics team supporting global clients in B2B, consumer, technology, and healthcare sectors. His academic and professional work bridges digital marketing, brand strategy, and data-driven communications. Michael’s research interests include digital marketing, social media strategy, brand communications, narrative intelligence, audience segmentation, and AI applications in PR. He is a recognized thought leader with extensive publications and blog posts exploring brand archetypes, earned media, customer engagement, and the future of digital storytelling. His work emphasizes the integration of data analytics into strategic communications to enhance brand visibility and audience connection. The trends in his recent articles reflect a strong focus on artificial intelligence in public relations, media intelligence, narrative analysis, and the evolution of digital customer journeys. His writings analyze tools like Pulsar and Cision, explore generative AI in search, and critique traditional metrics like earned media value, advocating for more sophisticated, insight-driven approaches. Top 50 Social Intelligence Pioneers by The Social Intelligence Lab Dashboard 25 Class of 2022 by PRWeek Top 25 Digital PR Innovators by PRovoke Media Michael Brito mentors students in digital communications and advises on strategic brand development. He has led major initiatives in media monitoring, social intelligence, and data-informed PR outreach. He founded and contributes to a widely-read blog on social media marketing and is a frequent speaker at industry events, including TEDx. He is also a proud U.S. Marine veteran, bringing leadership and discipline to his academic and professional roles. He is actively involved in the COMM+ lab at SJSU and supports student media through his teaching and mentorship. His work continues to influence both academic curricula and industry best practices in digital communications and brand analytics.
Dr Wasim Ahmad is a Lecturer in Marketing at the Department of Marketing, Lancaster University Management School (LUMS), having joined the institution in January 2024. His prior academic appointments include Monash University, Florida State University, Teesside University, and Fujian University of Technology, where he conducted research, taught undergraduate/postgraduate modules, and led curriculum development. Education: Ph.D. in Marketing, University of International Business and Economics PostDoc, Florida State University Research Interests: Dr Ahmad investigates consumer behaviour with emphasis on negative emotions (brand hate, betrayal) and extreme responses to brands across cultural contexts. His work spans sustainability-oriented innovation in B2B firms, eco-brand strategy, and cross-cultural CSR implementation—particularly during crises like the pandemic. He employs quantitative methodologies including experimental designs and meta-analysis, frequently examining digital marketing phenomena such as virtual influencers, travel apps, and dark patterns in online interfaces. Publication Trends: His 2023-2025 output reveals concentrated research on brand hate consequences in B2B relationships, sustainability innovation linked to triple-bottom-line performance, and cross-cultural digital behaviour (e.g., social media addiction, travel app usage). Key journals include Journal of Business Research , Industrial Marketing Management , and Annals of Tourism Research , demonstrating interdisciplinary reach across marketing, sustainability, and tourism. Scientific Awards: No specific awards, prizes, or fellowships mentioned in source materials Advising and Grants: Dr Ahmad actively supervises PhD candidates in green marketing topics (product sustainability, eco-brand orientation) using quantitative approaches. He teaches core modules including International Marketing (MKTG101), Strategic Marketing (MKTG301), and Marketing Research (MKTG212). No grant funding details were provided in the directory. Labs and Teams: No dedicated research labs or teams specified in current affiliation Collaborative work evident in B2B sustainability studies with international co-authors
Dr. Daniel Hein is a researcher affiliated with the University of Bamberg's Faculty of Social Sciences, Economics, and Business Administration, specifically within the Chair of Sales & Marketing. His work focuses on Business Digitization, Customer Relationship Management (CRM), and Augmented Reality (AR) technologies. He has contributed to studies exploring the digitization of services and CRM systems, societal implications of emerging technologies like AR smart glasses, and strategic frameworks for digital transformation in non-digital enterprises. His research emphasizes bridging theoretical concepts with practical business challenges, particularly in leveraging digital tools to enhance customer engagement and operational efficiency. Notable themes include analyzing adoption barriers for technologies like autonomous vehicles and smartwatches, and evaluating how analytics drive innovation performance. Dr. Hein has also explored ethical dimensions of wearable technologies and the psychological factors influencing consumer preferences, such as the role of disease avoidance in color choices. His publications span academic journals and conference proceedings, reflecting a keen interest in both technological innovation and its societal ramifications. While no specific grants or awards are listed, his work contributes to interdisciplinary discussions at the intersection of marketing, technology, and organizational strategy. As part of the Chair of Sales & Marketing, Dr. Hein collaborates with academic and industry partners to advance research in digital business practices, CRM effectiveness, and the strategic implications of emerging technologies.
Dr. Asieh Hosseini Tabaghdehi is a Senior Lecturer in Strategy & Business Economy at Brunel Business School, Brunel University of London. She serves as Programme Lead for the BSc International Business Programme and Trade2Grow Executive Education Programme. Additionally, she is Impact Lead at the Brunel Centre for AI: Social and Digital Innovation, where she leads the capability area in the Future of Work. Dr. Tabaghdehi is also an economist and social impact advisor for the independent NGO, Social Innovation Movement. Dr. Tabaghdehi earned her PhD in Economics and Finance (2008) and MSc in International Money, Finance, and Investment (2015), both from Brunel University London. She also holds a BA in Theoretical Economics from University of Mazandaran. She completed the Postgraduate Certificate in Academic Practice and is a Fellow of the Higher Education Academy. Dr. Tabaghdehi is internationally recognized for her research on digital transformation, with particular expertise in the ethical integration of artificial intelligence and digital technologies. Her work focuses on how emerging technologies shape industries, labor markets, and society, with emphasis on enhancing SME growth through technological innovation. She explores applications across critical sectors including social care, supply chain management, and environmental sustainability. A central theme in her research is smart data governance, ensuring ethical, transparent, and responsible use of data in decision-making processes. Her research portfolio demonstrates a consistent focus on the intersection of technology, ethics, and business strategy. She has developed frameworks like the Digital Business Auditing Framework, which has been adopted internationally for smart city initiatives. Her work connects academic research with practical policy applications, as evidenced by her presentations as oral and written evidence to the House of Commons Select Committee. Her publications span AI ethics, digital footprint implications, fertility economics, and healthcare cost analysis, showing interdisciplinary breadth while maintaining thematic coherence around digital transformation's societal impact. Scientific Awards and Recognition Semi-finalist: Research Impact Award at Brunel University London, 2023 Staff Award: Exceptional in Collegiality and Supportive to Colleagues at Brunel University London, 2022 Exceptional Performance at Regents University London, 2018-19 Staff Award in Teaching, Learning and Assessment at Regents University London, 2016 Best Lecturer Award at London Brunel International College, 2014 Best Lecturer Award at London Brunel International College, 2013 Dr. Tabaghdehi actively supervises PhD students researching areas including Smart Data Governance, Ethical AI Governance, Digital Innovation Impact, Responsible AI Adoption Strategies, Sustainability, and Future of Labour Market. She has secured research funding from multiple sources including the Economic & Social Research Council (ESRC), Brunel University London, and Brunel Business School. Her current projects include research on AI Adoption and Governance, Youth digital addiction, Algorithm Reliability Framework, and SMEs digital footprints. She has also co-designed the "Digital Adoption" module for the UK Government's Help to Grow Management program, demonstrating the practical application of her research. As a member of multiple professional organizations, Dr. Tabaghdehi serves as an associate practitioner at Social Value International, associate member of the Big Innovation Centre, and member of the All-Party Parliamentary Group on AI. She is also a member of the ESRC Review College, British Academy of Management Review College, and Energy Institute UK, contributing to the broader academic and policy communities through these roles.
Min Kyung Lee serves as an Assistant Professor of Supply Chain Management at Baylor University's Hankamer School of Business, bringing industry experience from her prior role as a logistic coordinator in the automotive sector before pursuing her doctorate. Her academic credentials include: PhD in Business Administration (2018), Clemson University MS in Marketing (2010), Clemson University BA in Economics (2008), Kangwon National University, South Korea Dr. Lee's research centers on Service Operations Management and Supply Chain Innovation, with particular focus on healthcare logistics, epidemic response systems, and technology-enabled service delivery. Her work bridges theoretical operations frameworks with practical industry applications, especially in crisis-driven supply chain scenarios and service value optimization. Analysis of her publications reveals consistent exploration of data-driven decision-making in volatile environments, including pandemic supply chains, medical crowdfunding dynamics, and cross-cultural procurement platforms. Her research demonstrates increasing emphasis on healthcare operations while maintaining strong connections to broader service innovation principles. She actively contributes to the academic community through membership in the Production and Operations Management Society and Decision Sciences Institute.
Dr. Arnold Japutra is an Associate Professor of Marketing at Southampton Business School, University of Southampton. His research focuses on brand management, consumer behaviour, relationship marketing, and the adoption of emerging technologies such as AI, AR/VR, and robotics. Recognized among the Top 2% of Global Scientists, he has published in leading journals including the Journal of Business Research, European Journal of Marketing, International Marketing Review, Journal of International Management, Journal of Travel Research and Tourism Management. Dr. Japutra has held academic roles at the University of Western Australia and Universitas Indonesia, and has extensive experience in teaching, corporate training, and consulting for global organizations. His research interests include: Consumer-brand relationships Consumer negative behaviours Dark-side of brands Human-Robot interactions Adoption of new technologies (e.g., AI, AR, VR) Brand management (e.g., brand attachment, brand loyalty, brand equity) Technology adoption and consumer behaviour (e.g., impulsive and compulsive buying) Dr. Japutra's research sits at the intersection of branding, consumer psychology, and emerging technologies. His work examines how consumer–brand relationship factors drive both positive behaviors and negative ones such as impulsive buying, compulsive consumption, and trash-talking. He investigates how psychological traits shape consumer decision-making and has recently been exploring human-technology interactions with a focus on AI, robotics, AR, and VR. His publication pattern shows a clear evolution from traditional brand management topics toward increasingly technology-focused research, particularly examining the psychological impacts of AI and digital interfaces on consumer behavior. Dr. Japutra has received numerous prestigious awards, including: Stanford 2% Global Scientist Citation Rankings (2023, 2024) Business School Mid-Career Research Award, University of Western Australia (2023) Best Researcher Award, Faculty of Economics and Business, Universitas Indonesia (2023, 2022) Best paper at Journal of Hospitality and Tourism Management (2019) Best Researcher Award and Top Publication Award, Tarumanagara University (2016) Dr. Japutra is actively accepting PhD students and has extensive experience mentoring graduate researchers. His research has been supported by various grants though specific funding sources aren't detailed in the provided materials. He has also delivered corporate training and consulting services for numerous global organizations, bridging academic research with practical business applications.
Ram Bala is an Associate Professor of AI & Analytics at Santa Clara University’s Leavey School of Business. He holds a Ph.D. in Operations Research from UCLA Anderson School of Management and a Mechanical Engineering degree from IIT Bombay. His research focuses on pricing strategies, marketplace design, supply chain dynamics, and the integration of AI into business operations. He leads the Prometheus Lab on AI and Business and is Co-founder/Chief AI Scientist of Samvid, a generative AI startup for logistics. Additionally, he co-founded the MS-SCMA program and holds leadership roles in academic governance committees. Education: Ph.D. in Operations Research, UCLA Anderson School of Management Bachelor's in Mechanical Engineering, Indian Institute of Technology Bombay Research Interests: Ram’s work bridges optimization, game theory, and machine learning to address dynamic market challenges. He explores the transformative adoption of AI-driven autonomous systems in organizations, particularly in supply chains and healthcare logistics. His recent projects include pandemic response platforms for PPE distribution and AI tools for humanitarian aid via Project Stanley. Leadership & Ventures: Founder & President of Project Stanley (non-profit applying data science to humanitarian issues) Co-founder and Director of MS-SCMA program Past roles: Chief Data Scientist at GrandCanals (acquired by C.H. Robinson) and leadership at Andela Labs & Teams: Co-leads Prometheus Lab on AI and Business at Leavey School, focusing on enterprise AI adoption and generative AI applications in supply chain management.
Dr. Anna Grudecka is an Assistant Professor at the Warsaw School of Economics , affiliated with the Department of International Business . Her work bridges marketing, international business, and cultural studies. Research Focus: Consumer behavior in global markets, country-of-origin effects, cultural values in branding, and digital platform dynamics. Publications: Recent studies explore cross-border e-commerce, charitable crowdfunding, and the interplay of cultural values with digital marketing strategies. Her work spans 2015–2025, with recent emphasis on pandemic-related shifts and multi-sided platform economics. Awards: No scientific awards explicitly mentioned in available sources. Advising: No student names provided in public records.
Professor Ashish Sinha is a leading academic in Marketing at the UQ Business School, holding concurrent roles as Visiting Professor at the Indian School of Business and Research Fellow at the Hong Kong Polytechnic University. His career spans senior leadership in academia (e.g., Academic Dean of Executive Education at ISB, Interim Dean at UTS Business School) and industry (Vice President at IRI, Chicago). His research bridges theory and practice, focusing on digital transformation, AI-driven strategies, ESG impact analysis, and marketing analytics. He has pioneered frameworks for retail optimization, category management, and B2B innovation adoption, with over 30 journal articles in top-tier outlets like Journal of Marketing and Marketing Science . Research Impacts: Sinha’s work has transformed executive education programs (e.g., ISB’s #38-ranked custom programs) and driven research excellence at UTS. He is a serial entrepreneur, having founded two analytics firms acquired for their practical impact. His $240M Food Agility CRC participation highlights his role in agribusiness innovation. Awards include the Davidson Award and twice runner-up for the Gary Lilien Practice Award for applied marketing science. Key Research Themes: AI in Marketing, Digital Transformation, ESG Strategies, Consumer Sentiment Analysis Leadership Roles: Academic Dean (ISB), ADR (UTS), Head of Marketing (UNSW) Industry Experience: Analytics leadership at IRI, strategic consulting across sectors Grants/Partnerships: CI in Food Agility CRC ($240M), multiple ERA-recognized research collaborations. Advises on AI ethics, sustainable marketing, and global business strategy.
