Prof. Chenghu Ma Fudan University，China
Prof. Runhui Lin Nankai University，China
Prof. Junfeng Liao South China University of Technology，China
Assoc.Prof. Mingyue Fan Jiangsu University, China
Prof. Xu Chen University of Electronic Science and Technology of China | Brief Introduction: Dr. Chenghu Mais a Professor of Finance at School of Management, Fudan University, China. He graduated from University of Toronto with a PhD in Economics, after BSc and MSc degrees in Control Theory from Shandong University. Professor Ma’s research has been mainly in financial economics, decision theory and game theory. He is probably best known for his derivation of a model-free option pricing formula in incomplete market that extends those of Black-Scholes-Merton. His pioneering contribution also lies in the formulation of expected or non-expected recursive utility and stochastic differential utility in both discrete- and continuous-time contexts, along with thorough study on sequential portfolio choice in the presence of rare jump events, a derivation of shadow-CAPM as a dynamic extension of Sharpe-Lintner’s classical equilibrium CAPM, the term structure of interest rates modeling, …, etc. His proof of “welfare theorem” along with construction of “Wilson’s syndicate” in incomplete markets lead to a resolution towards the “aggregation problem”originally raised by T. Nijishi(1960), re-enforced by Oliver Hart (1975) with his counter-examples. In a separate endeavor, his proposal of game-theoretical solution concepts, aiming to capture players’ psychological aversion towards uncertainty and their ambition of strategic uncertainty creation, lead to several refinements to the classical Nash equilibrium and Selten’s sub-game perfect equilibrium. His proposed solution concept, namely “incomplete contracts”, shed light on the endogenous coalition / network formation on strategic interactions. Brief Introduction: Dr. Runhui Lin, Professor in organization and management at Nankai University, China； Deputy Dean of Business School, Nankai University. Dr. Runhui Lin is a Professor in organization and management of Business School, Nankai University, and the director of Network Governance Center of China Academy of Corporate Governance(CACG), the associate director of Selten Laboratory of Nankai University(Named after and supported by Nobel prizewinner Reinhard Selten and devoted in the researches on experimental economics and management). He is also a visiting scholar at Harvard University(2004-2005), member of several academic associations both domestic and abroad, like Academy of Management(AOM), Association for Information Systems(AIS), researcher of several academic institutes and adviser, board director of several corporations including SOEs and POEs. Ltd. He serves as the peer reviewer of National Natural Science Foundation of China(NSFC), AOM annual meetings and some top management journals in China. He received his Ph.D. in Management Sciences. His research focuses on network organizations and innovation governance, corporate governance of Chinese MNCs, technology(ICT) and innovation management, system analysis of complex organization systems and management systems, and network analysis methodology. Title：Connotation, Strategy and Speed of Digital Transformation and Firm Performance Abstract: Enterprise digital transformation involves the application of digital technology and strategic change. Connotation and strategy of Digital Transformation is presented in this talk to identify the technological and strategic sides of DT. Then the two perspectives are integrate to analyze the impact of an enterprise’s digital transformation process on performance, the results suggest that the efficacy of this transformation is influenced by the process of change. While the speed of digital transformation contributes to short-term performance enhancement, it exerts a negative impact on long-term enterprise performance due to absorptive capacity limitations. The study provides evidence that accelerating an organization's digital transformation can result in short-term cost reductions and operational efficiencies, thereby enhancing corporate financial performance. Nevertheless, a too rapid transformation over the long term may adversely affect market performance, primarily due to absorptive capacity constraints. The optimal pace of digital transformation should be carefully chosen based on a company's specific circumstances, industry context, and external environment to maximize the impact of digital transformation. Brief Introduction: Junfeng LIAO, Ph.D. & Professor in Management, Vice Dean of School of Economics and Management, Kashi University. Since September 2004 until now, he has taught the Department of Electronic Business at South China University of Technology, and has served as a teaching assistant, lecturer, and associate professor. Dr. LIAO give the course of Research Methodology to postgraduate students, and courses of Management, Marketing, Internet Finance, Economics to undergraduate students. Dr. LIAO has research interests in Network Marketing and Internet Finance and he has published more than 40 papers in CSSCI, EI index journals and international conferences, and hosted more than 10 important grands such as the National Grant of Philosophy and Social Science, the Guangdong Provincial Grant of Philosophy and Social Science, the Guangzhou Grant of Philosophy and Social Science, and the Key Grant of the Central Universities. From 2013, Dr. LIAO has directed academic masters in management science and engineering and masters in logistics. Title：Establishing a two-way transaction pricing model of “platformindividual” co-creation data property rights Abstract: In recent years, the data trading industry has thrived on data assetization. However, given the increasing privacy concerns of the main data providers—individual users—their willingness to disclose data is in decline. Meanwhile, enterprises may violate privacy laws by profiting from co-creation data without user permission, blocking a significant amount of co-creation data from full circulation. This study establishes the utility function of users under three choices—purchase, sale, and maintaining the status quo—that quantify the privacy calculus mechanism and introduce privacy-related variables, employing references and interviews with Tencent employees and users. Accordingly, examining the decision-making behavior of users helped establish a data property rights two-way transaction model comprising six scenarios and, hence, six corresponding platform decisions. Indeed, the model can solve the noted dilemma and realize a Pareto improvement of the utilities of the platform and users. This study contributes a new perspective, constructs a data property rights two-way transaction model, expands the pricing theory boundary, and provides a decision reference for data trading practice, allowing enterprises to establish new business models. Brief Introduction: Fan Mingyue, female, Han Nationality, doctor of Jiangsu University. He is now an associate professor of the Department of Information Management and Information System, School of Management, Jiangsu University, and a member of the Economic Management Branch of Jiangsu Automation Society. He has provided Chinese and English teaching courses for Information Management (English), Big Data Processing Technology, Introduction to Data Science, Cross-border E-commerce Management Information System, Big Data and Business Intelligence and Cross-border Ecommerce for undergraduates in the School of Management, undergraduates of Overseas Education and MBA overseas students. He presided over and completed one excellent English course in Jiangsu Province, and won the second prize of Jiangsu Micro Course Competition, the second prize of the English Lecture Competition of Jiangsu University, and the second prize of the third Teacher Information Teaching Competition of Jiangsu University. Research in business management, business ethics and information management in recent years, In Information Science, Statistics and Decision-making, Science and Technology Progress and Countermeasures, Technology, Economy and Management, Research on Science and Technology Management, Journal of Retailing and Consumer Services, Environmental Science and Pollution Research, Online Information Review, Frontiers in Psychology, Frontiers in Environmental Science The core and above journals have published more than 30 papers, Electronic Commerce Research and Application, Frontiers in Psychology, Plos One and reviewers of international journals. Title：Brand Internationalization in the Digital Economy: An Analysis based on online reviews Abstract: The objective of this study was to build an international evaluation index system of cross-border e-commerce brands. It improves the sustainable development ability of the brand and then drives the sustainable development of the enterprise's brand internationalization. As the top priority in the innovative development process of cross-border e-commerce enterprises, it is a key means to achieve longer-term and more stable development of cross-border enterprises and to maintain a place in the fiercely competitive market. Therefore, the internationalization of crossborder e-commerce brands is a topic that needs to be explored in depth to provide a comprehensive understanding to businesses from the consumers' perspectives. This study constructs an international evaluation index system for cross-border e-commerce brands. The keywords in the online reviews are captured through the Latent Dirichlet Allocation (LDA) and matched to the indexes, and the indicators are classified into Kano categories through Long ShortTerm Memory (LSTM) training to explore the promotion strategies of different Kano categories in the process of brand internationalization. Based on the empirical analysis of online reviews of the Kano model, it was determined that in the process of internationalization of cross-border ecommerce brands, managers should focus on service indicators related to expected factors, give priority to meeting service indicators related to essential factors, strive to meet service indicators related to charm factors, and make appropriate choices to observe service indicators related to indifference factors in real-time. Brief Introduction: Xu Chen is Professor of operations and supply chain management, Dean of School of Management and Economics, University of Electronic Science and Technology of China, Chengdu, China. His current research interests include coopetition management, supply chain management, and operations management. His publications have appeared in Production and Operations Management, IISE Transactions, IIE Transactions, European Journal of Operational Research, OMEGA-International Journal of Management Science, Journal of Business Research, IEEE Transactions on Engineering Management, IEEE Transactions on Systems Man and Cybernetics: Systems, International Journal of Production Economics, International Journal of Production Research, Journal of the Operational Research Society, Annals of Operations Research, and other journals. His research has been supported by grants from the National Sciences Foundation of China (NSFC), Major Program of National Social Science Foundation of China (NSSFC), and National Key R&D Program of China. Title：Capacity sharing between competing manufacturers: a collective good or a detrimental effect? Abstract：Capacity sharing has become a prevalent solution for addressing the supply-demand mismatch by optimizing capacity allocation among participating manufacturers. However, effective coordination and cooperation are required among involved parties, particularly if capacity sharing occurs between competing manufacturers. This paper investigates capacity sharing between competing manufacturers and examines the optimal sharing service fee policy, taking external market, internal operational, and relationship-specific factors into consideration. Our study incorporates product substitution rate, information symmetry (or asymmetry), and interfirm power relationship to go beyond the immediate direct cost-benefit analysis of capacity sharing and evaluates the trade-off between capacity sharing associated benefits and costs. Our analysis results illustrate how the market and relationship-specific factors interact with operational factors such as production cost difference and capacity constraints to influence firms’ capacity sharing decisions. The broad set of decision outcomes derived from our comprehensive analyses is beneficial for companies of all sizes and shapes to make informed strategic and operational decisions according to their own circumstances. |
