商品描述
At the 15th Viennese Workshop on Optimal Control and Dynamic Games, held in July 2022, experts in economics and the management sciences identified a concerning trend: static decision-making models, while less effective than dynamic ones, are becoming increasingly prevalent. This book aims to address the economic and social costs associated with reliance on static models and to demonstrate the advantages of applying dynamic approaches. Static models may be easier to formulate, but they often overlook the long-term consequences of decisions, promoting myopic practices that can lead to poor outcomes. In contrast, dynamic models foster a more comprehensive perspective, enabling foresight in decision-making - which is crucial for issues involving stock variables, such as pollution, reputation, and inventory. The book explores the limitations of static models, including their inability to capture long-term outcomes, history-dependent solutions, and the impact of abrupt contextual changes. It also highlights recent advances in dynamic modeling techniques that can enhance accuracy and help adapt to complex decision-making environments. By promoting the shift from static to dynamic models, this book aspires to open new research opportunities and provide valuable insights for researchers, students, policymakers, and managers in the fields of economics and the management sciences.
商品描述(中文翻譯)
在2022年7月舉行的第15屆維也納最佳控制與動態遊戲研討會上，經濟學和管理科學的專家們指出了一個令人擔憂的趨勢：靜態決策模型雖然不如動態模型有效，但卻越來越普遍。本書旨在解決依賴靜態模型所帶來的經濟和社會成本，並展示應用動態方法的優勢。
靜態模型可能更容易制定，但它們往往忽視決策的長期後果，促進了短視的做法，可能導致不良結果。相對而言，動態模型促進了更全面的視角，使決策過程中能夠具備前瞻性，這對於涉及存量變數的問題（如污染、聲譽和庫存）至關重要。本書探討了靜態模型的局限性，包括其無法捕捉長期結果、歷史依賴的解決方案以及突發情境變化的影響。它還強調了最近在動態建模技術方面的進展，這些技術可以提高準確性並幫助適應複雜的決策環境。
通過促進從靜態模型向動態模型的轉變，本書期望開啟新的研究機會，並為經濟學和管理科學領域的研究人員、學生、政策制定者和管理者提供有價值的見解。
作者簡介
Fouad El Ouardighi is a professor of operations and supply chain management, optimal control theory, and differential game theory at ESSEC Business School, France. His research focuses on developing interdisciplinary approaches at e.g. the interface of operations and marketing management, in environmental economics and sustainable operations management, R&D competition, and pandemic control, etc., and more generally on promoting the use of dynamic methods in economics and management science. He has been a visiting scholar at various academic institutions, such as the University of Washington in Seattle, HEC-Montreal, McGill University, Bar-Ilan University, HEC-Paris, and the Technical University of Vienna. Gustav Feichtinger is an emeritus professor in operations research at the Technical University of Vienna, Austria, where he founded the Institute of Operations Research, since renamed the Research Unit for Operations Research and Control Systems. He is also the founder of the Vienna school of optimal control theory and dynamic games, which has since gained international prominence and paved the way into the academic world for many scholars who now hold senior positions in various universities throughout the world. He organized the highly regarded series of Viennese Workshops on Optimal Control, Dynamic Games, and Nonlinear Dynamic Systems for more than 25 years. He has broad research interests and has made substantial contributions in such diverse fields as optimal control theory, operations research, demography, economics, the management sciences, population dynamics, the social sciences, etc. He has been a visiting scholar at many universities in Europe, North America, Australia, Chile, Colombia, Russia, Iran, Vietnam, Japan, and China.
作者簡介(中文翻譯)
Fouad El Ouardighi 是法國 ESSEC 商學院的運營與供應鏈管理、最優控制理論及微分博弈理論教授。他的研究專注於發展跨學科的方法，例如在運營與行銷管理的交界處、環境經濟學與可持續運營管理、研發競爭及疫情控制等領域，並更普遍地推廣在經濟學和管理科學中使用動態方法。他曾在多個學術機構擔任訪問學者，如西雅圖華盛頓大學、HEC 蒙特利爾、麥吉爾大學、巴伊蘭大學、HEC 巴黎及維也納科技大學。
Gustav Feichtinger 是奧地利維也納科技大學的榮譽教授，專攻運營研究，他創立了運營研究所，該所後來更名為運營研究與控制系統研究單位。他也是維也納最優控制理論和動態博弈學派的創始人，該學派自此在國際上獲得了顯著的聲譽，並為許多學者進入學術界鋪平了道路，這些學者如今在世界各地的多所大學擔任高級職位。他組織了備受推崇的維也納最優控制、動態博弈及非線性動態系統研討會系列，持續超過 25 年。他的研究興趣廣泛，並在最優控制理論、運營研究、人口學、經濟學、管理科學、種群動態學、社會科學等多個領域做出了重要貢獻。他曾在歐洲、北美、澳大利亞、智利、哥倫比亞、俄羅斯、伊朗、越南、日本及中國的多所大學擔任訪問學者。
