عنوان

Recent developments in data science and business analytics :

(Number (ISBN

3030102599

(Number (ISBN

3319727451

(Number (ISBN

331972746X

(Number (ISBN

9783030102593

(Number (ISBN

9783319727455

(Number (ISBN

9783319727462

Erroneous ISBN

3319727443

Erroneous ISBN

9783319727448

Title Proper

Recent developments in data science and business analytics :

General Material Designation

[Book]

Other Title Information

proceedings of the International Conference on Data Science and Business Analytics (ICDSBA- 2017) /

First Statement of Responsibility

Madjid Tavana, Srikanta Patnaik, editors.

Place of Publication, Distribution, etc.

Cham, Switzerland :

Name of Publisher, Distributor, etc.

Springer,

Date of Publication, Distribution, etc.

[2018]

Date of Publication, Distribution, etc.

©2018

Specific Material Designation and Extent of Item

1 online resource (xvi, 505 pages) :

Other Physical Details

illustrations

Series Title

Springer proceedings in business and economics

Text of Note

Includes bibliographical references and index.

Text of Note

Intro; Preface; Acknowledgments; Contents; About the Editors; Part I: Marketing and Supply Chain Analytics; Chapter 1: Research on Differential Pricing and Coordination Mechanism of Second-Class Supply Chain of New Products and Remanu ... ; 1.1 Literature; 1.2 Problem Description and Modeling; 1.2.1 Problem Description and Assumptions; 1.2.2 Parameters of the Model; 1.2.3 Model Establishment; 1.2.3.1 Decentralized Decision; 1.2.3.2 Equation Solving; 1.2.3.3 Centralized Decision; 1.3 Supply Chain Coordination; 1.3.1 Shapley Value Method; 1.3.2 Part Alliance; 1.4 Numerical Analysis.

Text of Note

2.4 ConclusionReferences; Chapter 3: The Quality Management of Food Supply Chain in Perspective of Food Safety; 3.1 Introduction; 3.2 Literature Review; 3.3 SCQM Models for Food Safety; 3.3.1 Supplier Selection; 3.3.2 Supplier Participation; 3.3.3 Quality Management Practice; 3.4 Case Study of Yili; 3.4.1 Suppliers Management; 3.4.2 International Quality Control Standard; 3.4.3 Process Quality Control System; 3.5 Discussion and Conclusions; References; Chapter 4: Strategic Customer Behavior with Risk Preference for a Supply Chain Management Based on Double Channel; 4.1 Introduction.

Text of Note

4.2 Literature Review4.3 Model of Strategic Customer; 4.3.1 Model Setup and Rational Expectations Equilibrium; 4.3.2 Retailerś and Manufacturerś Strategies; 4.4 Model of Strategic Customer with Risk Preference; References; Chapter 5: Competition and Coordination in Single-Supplier Multiple-Retailer Supply Chain; 5.1 Introduction; 5.2 Literature Review; 5.3 Model; 5.3.1 Basic Setup; 5.3.2 Equilibrium in Centralized Case; 5.3.3 Equilibrium in the Decentralized Case; 5.3.4 Coordination with Two-Part Tariff Mechanism; 5.4 Numerical Example; 5.5 Conclusions; References.

Text of Note

Chapter 6: Research on the Construction of Enterprise Brand Competitiveness Evaluation System Based on the Integration of SWOT ... 6.1 Introduction; 6.2 Literature Review; 6.3 Enterprise Brand Competitiveness Evaluation System; 6.4 Evaluation of Enterprise Brand Competitiveness; 6.4.1 Determine Indexes ́Weight by AHP; 6.4.2 The Index Weight of the Enterprise Brand Competitiveness Evaluation System; 6.5 Conclusion and Discussion; References; Chapter 7: Reflections on the Training Mode of E-Commerce Professionals with Improved Practical Exercises and Innovative Abili ... ; 7.1 Introduction.

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8

8

8

Text of Note

This edited volume is brought out from the contributions of the research papers presented in the International Conference on Data Science and Business Analytics (ICDSBA- 2017), which was held during September 23-25 2017 in ChangSha, China. As we all know, the field of data science and business analytics is emerging at the intersection of the fields of mathematics, statistics, operations research, information systems, computer science and engineering. Data science and business analytics is an interdisciplinary field about processes and systems to extract knowledge or insights from data. Data science and business analytics employ techniques and theories drawn from many fields including signal processing, probability models, machine learning, statistical learning, data mining, database, data engineering, pattern recognition, visualization, descriptive analytics, predictive analytics, prescriptive analytics, uncertainty modeling, big data, data warehousing, data compression, computer programming, business intelligence, computational intelligence, and high performance computing among others. The volume contains 55 contributions from diverse areas of Data Science and Business Analytics, which has been categorized into five sections, namely: i) Marketing and Supply Chain Analytics; ii) Logistics and Operations Analytics; iii) Financial Analytics. iv) Predictive Modeling and Data Analytics; v) Communications and Information Systems Analytics. The readers shall not only receive the theoretical knowledge about this upcoming area but also cutting edge applications of this domains.

Source for Acquisition/Subscription Address

Springer Nature

Stock Number

com.springer.onix.9783319727455

International Standard Book Number

9783319727448

Decision making-- Statistical methods-- Data processing.

Management-- Statistical methods-- Data processing.

Big Data/Analytics.

Business Information Systems.

Operations Research/Decision Theory.

BUSINESS & ECONOMICS-- Industrial Management.

BUSINESS & ECONOMICS-- Management Science.

BUSINESS & ECONOMICS-- Management.

BUSINESS & ECONOMICS-- Organizational Behavior.

Business mathematics & systems.

Operational research.

BUS-- 041000

BUS-- 042000

BUS-- 082000

BUS-- 085000

KJMD

KJMD

KJT

KJT

Number

Edition

Class number

Patnaik, Srikanta

Tavana, Madjid,1957-

International Conference on Data Science and Business Analytics(2017 :, Changsha, Hunan Sheng, China)

Date of Transaction

20200823103837.0

Cataloguing Rules (Descriptive Conventions))

pn

Electronic name

[Book]

Y