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為促進(jìn)高校優(yōu)秀研究生之間的學(xué)術(shù)交流，充分利用研究生教育的優(yōu)質(zhì)資源，開拓優(yōu)秀博士生學(xué)術(shù)視野，并提升其理論功底與寫作技能，天津大學(xué)管理與經(jīng)濟(jì)學(xué)部將于2021年7月12日—7月24日舉辦線上全國(guó)研究生暑期學(xué)?；顒?dòng)。

時(shí)間：2021年7月12日—7月24日

地點(diǎn)：中國(guó) · 天津

開課形式：網(wǎng)絡(luò)遠(yuǎn)程

01

課程設(shè)置

本期暑期學(xué)校擬開設(shè)以下8門課程（周日不開課），具體授課平臺(tái)信息將于開課前發(fā)布。

點(diǎn)擊查看大圖

02

招生對(duì)象

本屆暑期學(xué)校將面向全國(guó)招收在讀博士研究生，以及少量海外博士研究生和有志于攻讀天津大學(xué)管理學(xué)博士學(xué)位的碩士研究生。

為了保證教學(xué)質(zhì)量，研究生暑期學(xué)校將采取限額申報(bào)，感興趣的同學(xué)請(qǐng)抓緊報(bào)名。

03

報(bào)名方式

研究生暑期學(xué)校即日起接受報(bào)名，報(bào)名截止時(shí)間為6月28日12:00。

請(qǐng)將《附件2：暑期學(xué)校報(bào)名表》及《附件3：暑期學(xué)校報(bào)名信息統(tǒng)計(jì)表》發(fā)送至come_gs@tju.edu.cn，報(bào)名文檔及郵件命名為“暑期學(xué)校報(bào)名-姓名-所在學(xué)?！?/span>。錄取情況將于7月5日前以電子郵件或電話形式通知被錄取學(xué)員，未接到錄取通知的同學(xué)皆視為未錄取，不另行通知。

請(qǐng)點(diǎn)擊閱讀原文下載相關(guān)文檔。

附件1：課程及授課師資簡(jiǎn)介

附件2：暑期學(xué)校報(bào)名表

附件3：報(bào)名信息統(tǒng)計(jì)表

提取碼: 1895

04

其他說明

1. 暑期學(xué)校結(jié)束后，將對(duì)合格學(xué)員頒發(fā)天津大學(xué)管理與經(jīng)濟(jì)學(xué)部2021年研究生暑期學(xué)校結(jié)業(yè)證書。

2. 本次暑期學(xué)校免收學(xué)雜費(fèi)、報(bào)名費(fèi)。

3. 無(wú)特殊情況，學(xué)員須全程參加暑期學(xué)校活動(dòng)，不得中途或提前離開。

4. 聯(lián)系方式：

（1）辦公電話：022-27402304

（2）郵箱: come_gs@tju.edu.cn

5. 暑期學(xué)校相關(guān)工作的解釋權(quán)在天津大學(xué)管理與經(jīng)濟(jì)學(xué)部。

課程及授課師資簡(jiǎn)介

課程Ⅰ：

Course Title: Social Operations Management

12

Instructor:

Prof. MingHu

The Rotman School,

The University of Toronto

Instructor Bio: Ming Hu is the University of Toronto Distinguished Professor of Business Operations and Analytics and a professor of operations management at the Rotman School. He was named as one of Poets & Quants Best 40 Under 40 business school professors in 2018. His research has been featured in mainstream media, including the Financial Times. Most recently, his research has focused on operations management in the context of two-sided markets, sharing economy, social buying, crowdfunding, crowdsourcing, etc., to make full use of operational decisions to benefit society. He recently edited a Springer book titledSharing Economy: Making Supply Meet Demandon operations management in the age of the sharing economy. He is the recipient of Wickham Skinner Early-Career Research Accomplishments Award by the POM Society (2016) and the Best Operations Management Paper inManagement ScienceAward by INFORMS (2017). He currently serves as the editor-in-chief ofNaval Research Logistics, department editor ofService Science, associate editor ofOperations Research,Management Science, andManufacturing & Service Operations Management, and senior editor ofProduction and Operations Management. He is a former chair of the Revenue Management and Pricing Section at INFORMS.

Course Description:Social Operations Management (SOM) is an emerging research area that focuses on the interactions between social behaviors and operations management decisions with applications in two-sided markets, sharing economy, social buying, crowdfunding, and crowdsourcing, etc. SOM is analogous to social economics in economics, with SOM emphasizing the more detailed operational decisions in the way that operations management differs from economics. SOM has the following distinctions. First, SOM differs from behavioral operations management (BOM), as SOM focuses on behavior influenced by external social interactions while BOM focuses on internal, psychological behavior. Second, SOM focuses on how social interactions, which lead to collective social behavior, have an impact on firms' operational decisions, and more importantly, how operational decisions can influence the formation of collective social behavior. Lastly, SOM often focuses on alternative socially responsible objectives than single-minded profit maximization. In this short course, I will use my own research to illustrate the basics and motivate further research in this area.

課程Ⅱ：

課程名稱: 數(shù)字化供應(yīng)鏈與創(chuàng)新

12

授課教師：

趙先德教授

中歐國(guó)際工商學(xué)院

個(gè)人簡(jiǎn)介: 趙先德博士是中歐國(guó)際工商學(xué)院京東運(yùn)營(yíng)及供應(yīng)鏈管理學(xué)教席教授, 中歐-普洛斯供應(yīng)鏈與服務(wù)創(chuàng)新中心主任，中歐國(guó)際工商學(xué)院企業(yè)數(shù)字化轉(zhuǎn)型課程聯(lián)席課程主任。趙教授的學(xué)術(shù)職務(wù)還包括國(guó)際供應(yīng)鏈與運(yùn)營(yíng)管理學(xué)會(huì)（ASCOM）創(chuàng)始人及名譽(yù)主席、信息與管理科學(xué)國(guó)際學(xué)會(huì)（IMS）創(chuàng)會(huì)主席、決策科學(xué)組織亞太協(xié)會(huì)（APDSI）前主席等。他也是《運(yùn)營(yíng)管理期刊》的副主編與特刊主編，《決策科學(xué)期刊》的副主編，《生產(chǎn)與運(yùn)營(yíng)管理期刊》的高級(jí)主編，以及《數(shù)據(jù)、信息與管理期刊》的主編。趙教授的研究領(lǐng)域包括運(yùn)營(yíng)管理和供應(yīng)鏈管理。他的研究主要集中在供應(yīng)鏈整合與創(chuàng)新、基于網(wǎng)絡(luò)平臺(tái)的服務(wù)及商業(yè)模式創(chuàng)新、供應(yīng)鏈金融、數(shù)字化供應(yīng)鏈、基于大數(shù)據(jù)的供應(yīng)鏈及物流決策優(yōu)化等。他已在《運(yùn)營(yíng)管理期刊》、《消費(fèi)者研究期刊》、《生產(chǎn)與運(yùn)營(yíng)管理》、《歐洲運(yùn)籌學(xué)期刊》和《國(guó)際生產(chǎn)研究期刊》等高水平學(xué)術(shù)期刊上發(fā)表了190余篇的學(xué)術(shù)論文，近五年他發(fā)表了五本重要專著。此外，連續(xù)多年入圍愛思唯爾（Elsevier）出版集團(tuán)“商業(yè)、管理和會(huì)計(jì)領(lǐng)域”中國(guó)高被引學(xué)者榜單（2014-2019），亦曾獲得包括運(yùn)營(yíng)管理領(lǐng)域全球最頂級(jí)期刊《運(yùn)營(yíng)管理期刊》的Jack Meredith最佳論文獎(jiǎng)（2015, 2018）、中歐國(guó)際工商學(xué)院卓越研究獎(jiǎng)（2015, 2016, 2018）、第十二屆“鐘家慶運(yùn)籌學(xué)獎(jiǎng)”(2018)在內(nèi)的十余項(xiàng)學(xué)術(shù)榮譽(yù)，并于2020年獲得決策科學(xué)院（Decision Science Institute, DSI）授予的院士頭銜。趙教授還撰寫了很多聚焦中國(guó)企業(yè)的教學(xué)案例，這些案例被哈佛案例庫(kù)、毅偉案例庫(kù)、中國(guó)工商管理國(guó)際案例庫(kù)等權(quán)威案例庫(kù)收錄。他還為一些企業(yè)提供培訓(xùn)和咨詢服務(wù)，如京東、海爾、中糧集團(tuán)、西安強(qiáng)生、大連港集團(tuán)、平安銀行、建設(shè)銀行、招商銀行、創(chuàng)捷供應(yīng)鏈、國(guó)藥集團(tuán)、中國(guó)移動(dòng)、中國(guó)電信、中外運(yùn)敦豪國(guó)際航空快遞有限公司、日本航空公司、京都念慈庵有限公司、葛蘭素史克公司、港華燃?xì)?、嘉里建設(shè)有限公司、廣州鋼鐵集團(tuán)等。

課程簡(jiǎn)介: 本課程的定位是“實(shí)踐+案例為主、理論+研究為輔”。趙教授將結(jié)合近年來(lái)為實(shí)踐者授課的經(jīng)驗(yàn)與學(xué)術(shù)研究的發(fā)現(xiàn)，幫助學(xué)生了解業(yè)界正在發(fā)生的眾多供應(yīng)鏈創(chuàng)新故事，以及如何從實(shí)踐中歸納研究問題、開展實(shí)證研究希望通過本課程來(lái)拓展學(xué)生對(duì)供應(yīng)鏈管理的認(rèn)識(shí)、增強(qiáng)學(xué)生對(duì)供應(yīng)鏈管理的興趣，以及幫助學(xué)生梳理本領(lǐng)域的一些研究機(jī)會(huì)。本課程主要包含三個(gè)專題：

1. 數(shù)字化供應(yīng)鏈金融創(chuàng)新

學(xué)生將了解現(xiàn)代供應(yīng)鏈金融的基本概念與發(fā)展趨勢(shì)、以及不同種類的供應(yīng)鏈金融創(chuàng)新實(shí)踐。本專題將結(jié)合海爾日日順網(wǎng)絡(luò)供應(yīng)鏈金融、創(chuàng)捷供應(yīng)鏈、布比科技、普洛斯金融等企業(yè)案例，講解供應(yīng)鏈金融中的主要角色與合作模式、基于核心企業(yè)與金融機(jī)構(gòu)的供應(yīng)鏈金融模式創(chuàng)新、基于產(chǎn)業(yè)互聯(lián)網(wǎng)服務(wù)平臺(tái)的供應(yīng)鏈金融模式創(chuàng)新、數(shù)字化技術(shù)與大數(shù)據(jù)的作用、供應(yīng)鏈金融服務(wù)創(chuàng)新的成功要素等話題。

2. 物流供應(yīng)鏈中的大數(shù)據(jù)應(yīng)用

本專題將帶領(lǐng)學(xué)生了解現(xiàn)代物流的發(fā)展趨勢(shì)，以及數(shù)字化技術(shù)與大數(shù)據(jù)分析在物流供應(yīng)鏈中的應(yīng)用。本專題將結(jié)合順豐、京東物流、易流科技、G7、中儲(chǔ)智運(yùn)等企業(yè)案例，讓學(xué)生了解疫情期間的數(shù)字化應(yīng)急物流管理、智慧物流的各類應(yīng)用場(chǎng)景、技術(shù)與數(shù)據(jù)驅(qū)動(dòng)的新物流商業(yè)模式、物流供應(yīng)鏈的大數(shù)據(jù)管理等話題。

3. 數(shù)字化供應(yīng)鏈與商業(yè)模式創(chuàng)新

本專題將拓展學(xué)生對(duì)現(xiàn)代供應(yīng)鏈管理的認(rèn)識(shí)，以及供應(yīng)鏈不同環(huán)節(jié)的數(shù)字化轉(zhuǎn)型與商業(yè)模式創(chuàng)新。本專題將結(jié)合海爾卡奧斯、尚品宅配、京東智能供應(yīng)鏈、多點(diǎn)、盒馬等企業(yè)案例，為學(xué)生講述供應(yīng)鏈在中國(guó)的不同發(fā)展階段、新發(fā)展格局下的供應(yīng)鏈能力需求、數(shù)字化技術(shù)與上下游協(xié)同如何推動(dòng)不同行業(yè)的供應(yīng)鏈與商業(yè)模式創(chuàng)新、產(chǎn)業(yè)互聯(lián)網(wǎng)與消費(fèi)互聯(lián)網(wǎng)融合的最新趨勢(shì)等話題。

課程Ⅲ：

Course Title:Selected research methods in Management Science and Engineering

12

Instructor:

Prof. Ou Tang

Link?ping University,Sweden

Instructor Bio:Ou Tang is Professor of Production Economics at Link?ping University, where he obtained a PhD in 2000. He served as associate editor and editor in the International Journal of Production Economics since 2008, and he is the past-president of the International Society for Inventory Research. Ou Tang’s principal research interest is in the field of operations and supply chain management, more specifically it includes inventory modelling, manufacturing planning and control systems, closed loop supply chain management, sustainable supply chains，supply chain risk management, and China related operations management issues. He has published more than 100 scientific articles, including 70 in international journals such as the European Journal of Operational Research, Computers and Operations Research, Omega, International Journal of Production Economics, Production and Operations Management, and others.

Ou Tang has extensive industrial experience with his research projects. As the principle investigator, he has audited and analyzed production and logistics systems, and proposed improvement suggestions in about 50 companies such as Volvo, Scania, Toyota, Siemens, Hewlett-Packard, General Electric, Ericsson, Electrolux, IKEA，Sapa, SSAB, Stora Enso, Alfa lava, Atlas Copco, SKF, among others.

Course Description: This doctoral seminar series provide a brief overview of research methodology and discuss some selected modelling approaches in Management Science and Engineering. The research field of Management Science has a scope on all managerial aspects of enterprises such as strategy, entrepreneurship, innovation, information technology, and organizations as well as all functional areas of business for example accounting, finance, marketing, and operations. The research approach can be either normative or descriptive, or alternatively it can be either quantitative, qualitative or a combination of two. In this seminar series, the focus will be put on selected research articles related to the research methodology and modelling techniques in the relevant areas. On completion of this seminar series, students should have gained some in-depth knowledge of the subject.

DAY1: Introduction

Overview of management science and engineering

Overview of research methodology

DAY2: Analytical models

Basics, general concept, decision analysis, behavior operations, models for inventory and pricing, classification of the systems

System dynamics

DAY3: Description of the systems, modelling examples, applications in energy system study

DAY4: Optimisation and heuristics

Overview, modelling techniques, heuristics, simulation and optimisation, experimental design

課程Ⅳ:

Game Theory and its Applications Across Different Domains

12

Instructor:

Prof. Subodha Kumar

Fox School of Business,

Temple University

Instructor Bio:Subodha Kumar is the Paul R. Anderson Distinguished Chair Professor of Marketing and Supply Chain Management and the Founding Director of the Center for Business Analytics and Disruptive Technologies at Temple University’s Fox School of Business. He has secondary appointments in Information Systems and Statistical Science Departments. He also serves as the Ph.D. Concentration Advisor for Operations and Supply Chain Management. He is a board member for many organizations. He has been awarded a Changjiang Scholars Chair Professorship by the China’s Ministry of Education. He is also a Visiting Professor at the Indian School of Business (ISB). He has served on the faculty of University of Washington and Texas A&M University. He has been the keynote speaker and track/cluster chairs at leading conferences. He was elected to become a Production and Operations Management Society (POMS) Fellow in 2019. He has received numerous other research and teaching awards. He has published more than 150 papers in reputed journals and refereed conferences. He was ranked #1 worldwide for publishing in Information Systems Research. In addition, he has authored a book, book chapters, Harvard Business School cases, and Ivey Business School cases. He also holds a robotics patent. He is routinely cited in different media outlets including NBC, CBS, Fox, Business Week, and New York Post. He is the Deputy Editor of Production and Operations Management Journal and the Founding Executive Editor of Management and Business Review (MBR). He also serves on other editorial boards. He was the conference chair for POMS 2018 and DSI 2018, and has co-chaired several other conferences.

CourseDescription: The overall goal of this course is multi-fold. First, I will introduce the basics of game-theoretic models. Second, I want all the students to be able to apply these methods for different problems. First, they should be able to model the problem using these methods. Second, they should be able to solve the problem to get useful analytical insights. In summary, the goal is to ensure that you should be able to see the bigger picture when you work on a problem. After some introductory lectures, students will present the related papers. We will also cover the issues as coordination, contracts, integration, and information sharing.

課程Ⅴ:

Course Title: Data driven decision making in operations management

12

Instructor:

Prof. Max Shen

The University of Hong Kong & The University of California, Berkeley

Instructor Bio: Max Shen is currently Vice-President and Pro-Vice-Chancellor (Research) of the University of Hong Kong, Chancellor’s Professor and Chair of the Department of Industrial Engineering and Operations Research and Professor of the Department of Civil and Environmental Engineering at the University of California, Berkeley, USA. He is also a Center Director at the Tsinghua-Berkeley Institute in Shenzhen and Honorary Professor and Department Chair of Industrial Engineering at Tsinghua University, China.

Professor Shen obtained his PhD from Northwestern University, USA in 2000, started his academic career as Assistant Professor at the University of Florida in the same year, and joined UC Berkeley in 2004 where he rose through the academic ranks to his present position. PhD students supervised by him now hold positions in top universities in North America, Europe and China including MIT, Oxford, etc. as well as leading technological companies including Google, Facebook, Amazon etc.

Internationally recognized as a top scholar in his field, Professor Shen is a Fellow of the Institute for Operations Research and the Management Sciences (INFORMS), the President-Elect of the Production and Operations Management (POM) Society, and the past President of the Society of Locational Analysis of the INFORMS.

CourseDescription:

DAY1: We investigate a data-driven multi-period inventory replenishment problem with uncertain demand and vendor lead time (VLT), with accessibility to a large quantity of historical data. Different from the traditional two-step predict-then-optimize (PTO) solution framework, we propose a one-step end-to-end (E2E) framework that uses deep-learning models to output the suggested replenishment amount directly from input features without any intermediate step. The E2E model is trained to capture the behavior of the optimal dynamic programming solution under historical observations, without any prior assumptions on the distributions of the demand and the VLT. By conducting a series of thorough numerical experiments using real data from one of the leading e-commerce companies, we demonstrate the advantages of the proposed E2E model over conventional PTO frameworks. We also conduct a field experiment with JD.com and the results show that our new algorithm reduces holding cost, stockout cost, total inventory cost and turnover rate substantially compared to JD's current practice. For the supply-chain management industry, our E2E model shortens the decision process and provides an automatic inventory management solution with the possibility to generalize and scale. The concept of E2E, which uses the input information directly for the ultimate goal, can also be useful in practice for other supply-chain management circumstances.

DAY2:With climate change, the already serious problem of forest fires is clearly becoming increasingly troublesome. This is happening in vast forest areas as well as in the transitional zone between urban and rural areas, with grave consequences to the population living in or near forests.

Analytic tools have been developed to determine what resources need to be in place, such as airplanes, helicopters, crews, and equipment, to help suppress fire. Once a fire has started, simulation models of fire spread have been quite successful in predicting the direction of fire to support decisions on how to deploy such resources.

Less emphasis has been given to preventive Landscape Design or Fuel Management, which leads to decisions on how to manage forests to minimize the impact of fires once they start. These decisions include harvesting, prescribed burnings, and others. This talk will present the different tools we have developed in this problem area. Our main effort is on the integration of prediction analysis of fire ignition and spread, and the decisions on landscape design. The techniques used include stochastic simulation, derivative-free optimization, machine learning, optimization, heuristics, and deep learning.

We have applied these techniques in a preliminary way in Chile, Spain, and Canada with the aim of translating research efforts into practical applications.

課程Ⅵ：

課程名稱：超越高級(jí)實(shí)證研究

12

授課教師:

霍寶鋒教授

天津大學(xué)管理與經(jīng)濟(jì)學(xué)部

個(gè)人簡(jiǎn)介: 霍寶鋒博士是天津大學(xué)管理與經(jīng)濟(jì)學(xué)部主任、天津大學(xué)講席教授、博士生導(dǎo)師、國(guó)家杰出青年基金獲得者，Elsevier中國(guó)高被引學(xué)者。天津市社科聯(lián)副主席、全國(guó)工商管理專業(yè)學(xué)位研究生教育指導(dǎo)委員會(huì)委員、天津市管理學(xué)科評(píng)議召集人。擁有香港中文大學(xué)運(yùn)營(yíng)管理專業(yè)的哲學(xué)博士學(xué)位、天津大學(xué)管理科學(xué)與工程專業(yè)的工學(xué)碩士和管理信息系統(tǒng)專業(yè)的工學(xué)學(xué)士學(xué)位。研究與教學(xué)領(lǐng)域包括運(yùn)營(yíng)管理、物流與供應(yīng)鏈管理。論文發(fā)表在Journal of Operations Management, Production and Operations Management, Journal of Supply Chain Management, International Journal of Operations and Production Management, Journal of Business Logistics, IEEE Transactions on Engineering Management, International Journal of Production Research, International Journal of Production Economics, Information & Management, Business Horizons，《管理科學(xué)學(xué)報(bào)》、《系統(tǒng)工程理論與實(shí)踐》、《科研管理》等期刊。擔(dān)任《天津大學(xué)學(xué)報(bào)(社會(huì)科學(xué)版)》主編、Journal of Operations Management副主編、International Journal of Physical Distribution & Logistics Management高級(jí)副主編、Production and Operations Management編委、IEEE Transactions on Engineering Management編委, International Journal of Operations & Production Management編委，International Journal of Production Economics 編委, Industrial Management & Data Systems編委。在加入天津大學(xué)之前，曾先后擔(dān)任西安交通大學(xué)管理學(xué)院助理教授、副教授和浙江大學(xué)管理學(xué)院教授、文科領(lǐng)軍人才、求是特聘教授等工作。

課程簡(jiǎn)介:

第一講：概念

什么是概念？概念的作用是什么？如何提出一個(gè)好的概念？如何操作化概念？概念與結(jié)構(gòu)變量、觀測(cè)變量的關(guān)系是什么？如何通過概念做學(xué)術(shù)貢獻(xiàn)？如何通過概念的外衣認(rèn)識(shí)真實(shí)事物？概念是藝術(shù)品嗎？

第二講：模型

什么是模型？模型的作用是什么？如何提出一個(gè)好的模型？好的模型，美的模型，完整的模型之間是什么關(guān)系？完美的模型存在嗎？如果有完美的模型，應(yīng)該是什么樣子的？模型的美學(xué)意義是什么？

第三講：數(shù)據(jù)

數(shù)據(jù)從哪里來(lái)？如何清洗數(shù)據(jù)？如何使用數(shù)據(jù)？數(shù)據(jù)分析里面的坑到底有多少？有多深？如何不為小數(shù)的位數(shù)煩惱？數(shù)據(jù)分析的哲學(xué)意義是什么？

第四講：故事

會(huì)講故事的人將擁有一切!

課程VII：

課程名稱：創(chuàng)新管理：國(guó)際研究趨勢(shì)和中國(guó)企業(yè)的實(shí)踐

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授課教師：

陳勁教授

清華大學(xué)經(jīng)濟(jì)管理學(xué)院

個(gè)人簡(jiǎn)介:陳勁，清華大學(xué)經(jīng)濟(jì)管理學(xué)院教授、博士生導(dǎo)師，教育部人文社會(huì)科學(xué)重點(diǎn)研究基地——清華大學(xué)技術(shù)創(chuàng)新研究中心主任，清華大學(xué)政策研究室特約研究員。學(xué)術(shù)期刊《International Journal of Innovation Studies》創(chuàng)始主編，《管理工程學(xué)報(bào)》《科學(xué)學(xué)與科學(xué)技術(shù)管理》副主編，以及《清華管理評(píng)論》執(zhí)行主編等。陳勁教授于2000年獲國(guó)務(wù)院政府特殊津貼，2002年榮獲國(guó)家杰出青年基金，2007年獲聘浙江大學(xué)“求是特聘教授”，2009年入選“國(guó)家百千萬(wàn)人才工程”，2014年獲聘“長(zhǎng)江學(xué)者特聘教授”。先后承擔(dān)國(guó)家自然科學(xué)基金、國(guó)家社會(huì)科學(xué)基金、國(guó)家科技支撐計(jì)劃項(xiàng)目等國(guó)家級(jí)課題10項(xiàng)，省部級(jí)課題30余項(xiàng)，獲得省部級(jí)成果獎(jiǎng)13項(xiàng).陳勁教授在30年的學(xué)術(shù)研究過程中，著力研究具有中國(guó)特色的技術(shù)創(chuàng)新理論與應(yīng)用體系，是整合式創(chuàng)新、有意義的創(chuàng)新等創(chuàng)新范式的提出者，是全面創(chuàng)新管理的核心研究者之一，是國(guó)內(nèi)最先開展自主創(chuàng)新、開放式創(chuàng)新、協(xié)同創(chuàng)新研究的學(xué)者之一，也是“基于核心能力的企業(yè)創(chuàng)新生態(tài)系統(tǒng)”理論的提出者。截至2020年，陳勁在國(guó)內(nèi)外學(xué)術(shù)期刊及會(huì)議上發(fā)表論文700余篇，其中多篇文章發(fā)表于《Research Policy》《Technovation》和《IEEE Transactions on Engineering Management》《Journal of Business Research》等工商管理主要英文期刊；出版專譯著及編著100多部，其中，17部著作的影響力在一級(jí)學(xué)科排名前1%；先后在《人民日?qǐng)?bào)》《光明日?qǐng)?bào)》《科技日?qǐng)?bào)》《瞭望》等發(fā)表多篇?jiǎng)?chuàng)新戰(zhàn)略和政策的文章。

課程簡(jiǎn)介:本講座系統(tǒng)介紹國(guó)際創(chuàng)新研究的若干趨勢(shì)，如開放創(chuàng)新、用戶創(chuàng)新和樸素式創(chuàng)新等，并進(jìn)一步介紹整合式創(chuàng)新、有意義的創(chuàng)新、數(shù)字驅(qū)動(dòng)的創(chuàng)新等新型創(chuàng)新范式，并進(jìn)一步介紹創(chuàng)新管理的體系，以及中國(guó)優(yōu)秀創(chuàng)新企業(yè)的最佳實(shí)踐。

課程VIII：

Course Title: Data Driven Revenue Management

（JointOrganized withSchool of Management, The University of Science and Technology of China）

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Instructor:

Prof.Chung Piaw TEO

The National University of Singapore

Instructor Bio: Chung Piaw TEO is Provost’s Chair Professor and Executive Director of the Institute of Operations Research and Analytics (IORA) in the National University of Singapore. Prior to the current appointments, he was a Head of Department, Acting Deputy Dean, Vice-Dean of the Research and Ph.D Program as well as Chair of the Ph.D Committee in the NUS Business School.

He was a fellow in the Singapore-MIT Alliance Program, an Eschbach Scholar in Northwestern University (US), Professor in Sungkyunkwan Graduate School of Business (Korea), and a Distinguished Visiting Professor in YuanZe University (Taiwan). He is an elected Fellow in INFORMS and a Chang Jiang Scholar with USTC.

He studied issues in service and manufacturing operations, supply chain management, discrete optimization, and machine learning. He is currently spearheading an effort to develop the Institute of Operations Research and Analytics, as part of NUS strategic initiatives in the Smart Nation Research Program.

He is a department editor for MS (Optimization), and a former area editor for OR (Operations and Supply Chains). He has also served on several international committees such as the Chair of the Nicholson Paper Competition (INFORMS, US), member of the LANCHESTER and IMPACT Prize Committee (INFORMS, US), Fudan Prize Committee on Outstanding Contribution to Management (China).

CourseDescription:Revenue management emerged in the US airline industry after the deregulation in the 1980s. It has been successfully implemented by companies in air transportation, hospitality (hotels, cruises, theme parks, casinos), car rental, media, broadcasting, natural-gas storage and transmission, electricity generation and transmission, show business (concerts, theaters, sports events), universities. Most applications are recent and made possible by the advances in technology, information systems, and data mining. This short course introduces recent advances in the theory and practice of modern revenue management and dynamic pricing. The topics discussed include online revenue management, dynamic choice behaviors, and representative consumer choice model. We will show how theories can be integrated with data to obtain useful insights into the problem.

心動(dòng)不如行動(dòng)

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提取碼: 1895

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