Dr Seunghoo CHUNG’s paper has received an award at AOM 2024

Dr Seunghoo CHUNG’s paper (Chung & Lount, 2024), titled "The Impact of the Good Cop/Bad Cop Role Strategy on Value Creation in Team-on-Team Negotiations", has been awarded the 2024 Conflict Management Division Best Empirical or Theoretical Paper Award at the 84th Annual Meeting of the Academy of Management (AOM 2024).   This award is given to an outstanding paper that makes a significant empirical and/or theoretical contribution to the conflict management literature.

Cocktail Reception at Academy of Management 2024

MM held a Cocktail Reception at the Academy of Management Annual Meeting on 10 August 2024 at the Radisson Blu Aqua Hotel, Chicago, US.

Dr Qi Zhu's paper has received an award from Guangdong Province

Dr Qi Zhu's paper (Zhu, Zhu, & Ding, 2020), titled "The Roles of Chinese CEOs in Managing Individualistic Cultures in Cross-Border Mergers and Acquisitions," has been awarded the Second Prize in the Paper Category at the Tenth Guangdong Province Philosophy and Social Science Outstanding Achievement Awards this year. The Guangdong Province Philosophy and Social Science Outstanding Achievement Awards, established by the Guangdong Provincial Government, aim to recognize and reward individuals and groups who have made significant contributions to philosophical and social science research, fostering the prosperity and development of these fields within the province.   Please refer to the website for more details: http://www.gd.gov.cn/zwgk/wjk/qbwj/yfh/content/post_4437252.html.

Polyu Ranks 9th Among Institutions with the Most Prominent Business and Management Scientists

PolyU has achieved significant recognition in the field of Business and Management. According to Research.com, it proudly holds the 9th position globally among institutions with the highest number of leading business and management scholars. In the specific field of Business and Management, PolyU is ranked 5th among the best universities worldwide in 2024. It also holds the top spot in university rankings for China. These achievements are supported by impressive statistics, including a total D-index score of 821 and a mean h-index score of 58.64. With the contributions of 14 renowned scholars, PolyU has amassed a substantial 3,677 publications, exemplifying its significant research impact in the field of Business and Management. The top scientists in the Business and Management rankings include Professor Eric Wai-ting Ngai (World: 106; China: 6). The Psychology rankings include Professor Michael Bond (World: 465; China: 1). The rankings are derived from a comprehensive analysis conducted on 21 November 2023, which involved 166,880 researcher profiles sourced from various bibliometric data sources, including OpenAlex and Crossref. The position of an institution in the rankings is determined by the sum of the D-indexes (Discipline h-index) of all ranked scientists affiliated with the institution. In the specific field of Business and Management, the analysis included 8,531 profiles and scientists from 588 institutions and affiliations. For detailed rankings, please visit: https://research.com/university/business-and-management/the-hong-kong-polytechnic-university.

AIS Acknowledges Dr Katherine Feng's Contributions with Early Career Award

Dr Katherine Feng received the Early Career Award from the Association for Information Systems (AIS) in late 2023. AIS is the premier professional association for individuals and organisations that lead the research, teaching, practice, and study of information systems, with members from approximately 100 countries. The globally-recognised Early Career Award celebrates individuals who have made outstanding contributions to the field of information systems in the early stages of their careers. Every year, the award is presented to between six and eight winners worldwide.

General Research Fund (GRF) and Early Career Scheme (ECS) 2024/25

We are very pleased to share that in the 2024/25 results of grants from the Research Grants Councils’ General Research Fund (GRF) and Early Career Scheme (ECS), our academic staff have been successful in securing funding for a total of 14 projects.   GRF projects: Prof. Wu LIU, Dr Amy Y. OU, Dr Yijing LI, Dr Bicheng YANG, Dr Jia Katrina LIN, Dr Xiaowei Michael MEI, Dr Ren LI, Dr Jianhua Jordan YU and Dr Xueyong ZHAN   ECS projects: Dr Man Nok WONG, Dr Olivia GUAN, Dr Juyoung LEE, Dr Qiyuan WANG and Dr Lu YAN

Outstanding Alumni Award of PolyU Department of Management and Marketing 2024

We are pleased to announce the following awardees of the Outstanding Alumni Award of PolyU Department of Management & Marketing 2024 for their remarkable achievements.   Mr Ben WONG Outstanding Alumni Award in Professional Achievement of PolyU Department of Management and Marketing Mr Ben Wong is currently the CMO of Google, Greater China. He has a proven track record of driving transformative campaigns and innovation for iconic global brands in both Asian and US markets. His strategic acumen shines through his successful management of brands across diverse portfolios, including Google, Procter & Gamble (Olay, Pampers), Johnson & Johnson (Neutrogena, Clean and Clear, Johnson’s Baby, Stayfree/Carefree), Beiersdorf (Nivea, Eucerin), Mars/Wrigley (Extra, Doublemint, 5, Skittles), Hong Kong Disneyland Resort, and Starbucks China. He is passionate about community services and currently is an advisor and/or committee member of the Children Cancer Foundation (health and related), Ediversity (education and parenting related), Rock Foundation/ Creation Hub (disability related), Ed-ability (disability related) and the Women Alliance Group. His works have received various industry recognition and awards including but not limited to the Stevie Awards - The International Business Award; Marcom Awards, Campaign Asia Event Marketing Awards and ROI Awards.     Dr Dorothy CHAU Outstanding Young Alumni Award in Professional Achievement of PolyU Department of Management and Marketing Dr Dorothy Chau is currently the APAC DPO and Head of Security Assurance, Crypto.com. She received her Ph.D. from the Hong Kong Polytechnic University. With over 10 years in this space, Dr Chau is a seasoned FinTech professional with a strong reputation as being an industry and academic liaison. She is the advisor of the Cyberport Mentorship Services (CMS), advisor and chairman of the Data Privacy Special Interest Group of the Institute of Financial Technologists of Asia (IFTA), and the Vice-Chairman for Committee of FinTech of the CMA Australia, aiming at promoting Woman in Tech and digital transformations in different industries. She is also the Certification board member at International Association of Privacy Professionals (IAPP) and is inducted as a Fellow of Information Privacy (FIP). She serves as the official training faculty of IAPP and delivers various IAPP courses worldwide. Dr Chau served in different working groups of the HKSAR Financial Services Development Council, working on influential policy recommendation proposals related to CBDC, Hong Kong as a Data Hub, Cybersecurity, Fintech Talent Development, and more. Dr Chau is an active industry contributor and proactively share her experiences with different professional associations in Hong Kong and China, including CFA Institute, CPA Australia, The Hong Kong Institute of Certified Public Accountants, The Hong Kong Independent Non-executive Director Association, HKUSPACE, The Association of Chartered Certified Accountants, The Hong Kong Institute of Directors, and more. Dr Chau has also put considerable time and effort into helping and nurturing the younger generation in Hong Kong. She is the board member of the Junior Achiever Hong Kong (HK) and the industry advisor of their company program. She also served in the Lions Club, as an active speaker in the Rotary Club, and nurtures local university students through different mentorship and student consultation programs such as Cambridge Consulting Networks.

MM Members’ Participation in the FB-SHTM Joint Symposium

The FB-SHTM Joint Symposium was held successfully on 4 Jun 2024. The symposium brought members and students from the Faculty of Business and the School of Hotel and Tourism Management together to explore the intersection of business and hospitality, in line with the theme of exploring "New Research Frontier in the Service Industry". The symposium commenced with an inspiring opening remark from Prof. Kaye Chon, Dean and Chair Professor of the SHTM, setting a high standard for the day's discussions. Prof. Song Haiyan, Associate Dean and Chair Professor of the SHTM, Director of RCDTT, and Dr. Ren Li, Assistant Professor of the Department of Management and Marketing, skillfully moderated the morning and afternoon sessions, guiding the dialogue and ensuring a seamless exchange of ideas. The Symposium was concluded by Prof. Chi Nien Chung, Chair Professor of Strategic and Organization Management, and Associate Dean (Research and Postgraduate Studies) of the Department of Management and Marketing, with inspiring closing remarks. The symposium featured a series of engaging presentations and discussions, providing a platform for in-depth conversation and knowledge exchange. Participants had the opportunity to gain valuable insights of the latest trends and challenges in the business and hospitality sectors, as well as to network with peers and experts in the field. Our MM members, including Dr Qiyuan WANG, Dr Edward LAI, and Dr Ren LI, also delivered insightful presentations that have significantly enriched the symposium. Thank you to everyone who participated in making this joint symposium a resounding success. We are already looking forward to the next edition and the future collaboration between different faculties.

Joint Public Lecture by Prof. Wonseok Oh & Prof. Xueming Luo – 19 Jun 2024 (Wed)

MM will hold a Joint Public Lecture on the topic “Unveiling E-Book Bestsellers: Predictive Insights from Consumption Patterns Using Machine Learning” and “Introducing Machine-Learning-Based Data Fusion Methods for Analyzing Multimodal Data: An Application of Measuring Trustworthiness of Microenterprises” on 19 June 2024.   Unveiling E-Book Bestsellers: Predictive Insights from Consumption Patterns Using Machine Learning Abstract: In the e-book industry, the protability of stakeholders hinges upon the sales of “bestsellers.” However, accurately identifying these titles poses a signicant challenge. While early online reviews have traditionally served as a key resource for forecasting new e-book sales, their reliability and credibility are often undermined by concerns, such as manipulation, rating ination, and “cold-start” issues. As a result, sales predictions solely based on consumer-generated reviews may fall short of expectations. Our study introduces innovative consumption-based prediction approaches that leverage readers’ consumption patterns, oering a promising avenue for identifying bestsellers. Drawing from the perspectives of sustained attention, we identify three key aspects of users’ consumption trajectories— amount, duration, and intensity— and incorporate them into our prediction models established using time-sequenced machine learning algorithms, such as LSTM. Our ndings demonstrate substantial improvements in bestseller prediction accuracy when consumption data is integrated into the models alongside online review and book characteristic parameters. Consumption-driven predictions signicantly enhance sensitivity compared to baseline models. The highest performance enhancement is achieved when both consumption and online reviews are considered in tandem. Furthermore, we explore the nuanced impact of consumption-based predictions across various review characteristics, such as valence, extremity, and informativeness. In addition, the inclusion of consumption data can be particularly helpful for predicting the success of e-books by new authors with no historical sales. Through rigorous robustness checks, we validate the reliability of our ndings, arming that consumption-driven and online review-based predictions eectively complement and substitute each other in enhancing sales forecasts for digital content products. Introducing Machine-Learning-Based Data Fusion Methods for Analyzing Multimodal Data: An Application of Measuring Trustworthiness of Microenterprises Abstract: Multimodal data, comprising interdependent unstructured text, image, and audio data that collectively characterize the same source, with video being a prominent example, oer a wealth of information for strategy researchers. Our study highlights the vital role of both verbal and nonverbal communication in attaining strategic objectives. Through the analysis of multimodal data—incorporating text, images, and audio—we demonstrate the essential nature of interpersonal interactions in bolstering trustworthiness, thus facilitating the success of microenterprises. Leveraging advanced machine learning techniques, such as data fusion for multimodal data and Explainable Articial Intelligence (XAI), we notably enhance predictive accuracy and theoretical interpretability in assessing trustworthiness. By bridging strategic research with cutting-edge computational techniques, we provide practitioners with actionable strategies for enhancing communication eectiveness and fostering trust-based relationships. Access our data and code for further exploration.   Date* : 19 June 2024 (Wednesday) Time* : 2 to 3:50 pm  *Hong Kong Time Venue : N001, PolyU campus   Please register through the registration form on or before 16 Jun 2024 (Sun).   More Details  

MM Retreat (16-18 May 2024)

MM held an annual retreat in Changsha, China from 16 May to 18 May 2024. It was both a great opportunity for colleagues to connect with each other outside of the usual work environment, and a good chance to link up with fellow researchers and educators in Business School of Hunan University. Our colleagues also learned much about culture and industry trends in Hunan in general and in Changsha specifically. Please refer to the Photo Album for details.