The Best Thinking in Business Analytics from the Decision Sciences Institute (FT Press Analytics)

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9780134072951: The Best Thinking in Business Analytics from the Decision Sciences Institute (FT Press Analytics)

Today, business success depends on making great decisions – and making them fast. Leading organizations apply sophisticated business analytics tools and technologies to evaluate vast amounts of data, glean new insights, and increase both the speed and quality of decision making. In The Best Thinking and Practices in Business Analytics from the Decision Sciences Institute , DSI has compiled award-winning and award-nominated contributions from its most recent conferences: papers that illuminate exceptionally high-value applications and research on analytics for decision-making. These papers have appeared in no other DSI collection. Explore them here, and you’ll discover powerful new opportunities for competitive advantage through analytics. For all business, academic, and organizational professionals concerned with the science of more effective decision-making; and for undergraduate students, graduate students, and certification candidates in all related fields.

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From the Back Cover:

KEY ADVANCES IN ANALYTICS FOR DECISION MAKING:
AUTHORITATIVE NEW RESEARCH FROM DSI, THE FIELD’S LEADING ORGANIZATION

  • 14 outstanding papers applying cutting edge analytics to optimize business decision making
  • Applications ranging from marketing to finance, supply chains to healthcare
  • For all decision makers and all decision science researchers and students

Analytics has emerged as one of the most powerful approaches to improving decision making in modern organizations. This volume brings together award-winning and award-nominated peer-reviewed papers on business analytics for decision science, as selected by the field’s leading organization, the Decision Sciences Institute.


Authored by many of the field’s most respected researchers, these papers address issues ranging from marketing to credit scoring, predicting commodity and stock prices to improving the efficiency of transportation systems and supply chains. The authors introduce innovations ranging from the advanced use of statistical process control to important new de-biasing techniques.


Each paper offers actionable insights for decision makers and analytics professionals, and identifies important new research directions in analytics and decision science.

Today, business success depends on making great decisions and making them fast. Leading organizations apply sophisticated business analytics tools and technologies to evaluate vast amounts of data, glean new insights, and increase both the speed and quality of decision making.

 

In The Best Thinking and Practices in Business Analytics from the Decision Sciences Institute, DSI has compiled award-winning and award-nominated contributions from its most recent conferences–papers that illuminate exceptionally high-value applications and research on analytics for decision making.

 

Topics covered in this collection include: predicting customer response and demand behavior; optimizing the accuracy of credit scoring; forecasting stock index and gold prices; choosing suppliers, carriers, and facility locations; implementing more efficient transportation networks; and much more.

 

These papers have appeared in no other DSI collection and offer exceptional value for all business, academic, and organizational professionals concerned with the science of decision making. Explore them here, and you’ll discover powerful new opportunities for competitive advantage through analytics.

  • Forecast direct marketing campaign response more accurately
  • Use proven SPC techniques to improve the quality of your data inputs
  • Mitigate anchoring biases that degrade decisions based on probabilistic data
  • Predict short-term gold price movements based on S&P and oil prices
  • Improve the performance of credit scoring algorithms by removing outliers
  • Assess and compare methods of forecasting the S&P 500 Index
  • Evaluate the efficiency impact of new airline competition and structural reforms
  • Model one-way car sharing systems to deliver smart and sustainable mobility
  • Optimize decisions about facility location, suppliers, carriers, and order allocation
  • Shape incentives to align supply chain partners and improve performance
  • Predict intermittent demand more successfully
  • Build simulations to improve patient or customer service

About the Author:

Merrill Warkentin, Volume Editor

 

Merrill Warkentin is Professor of MIS and the Drew Allen Endowed Fellow in the College of Business at Mississippi State University, where he is also a member of the research staff of the Center for Computer Security Research (CCSR) and the Distributed Analytics and Security Institute (DASI). He has published more than 250 manuscripts, including more than 55 peer-reviewed journal articles, plus several books. His work has been cited more than 8,400 times, and his H-index is 24, according to Google Scholar in 2015. He has been ranked among the top 100 IS scholars in the world based on rankings of authors publishing in the AIS basket of six leading MIS journals. His research, on the impacts of organizational, contextual, situational, and dispositional factors on individual user behaviors in the context of information security and privacy, addresses security policy compliance/violation, and social media use (and formerly also on electronic collaboration systems and e-commerce/e-government) has appeared in such journals as MIS Quarterly, Decision Sciences, European Journal of Information Systems, Decision Support Systems, Information & Management, Information Systems Journal, Communications of the ACM, Communications of the AIS, The DATABASE for Advances in Information Systems, Computers & Security, Information Resources Management Journal, Journal of Organizational and End User Computing, Journal of Global Information Management, and others. Professor Warkentin is also the author or editor of six books.

 

Dr. Warkentin is currently an Associate Editor (AE) of MIS Quarterly, Information & Management, Information Resources Management Journal, and Journal of Information Systems Security, and he has previously served as AE of Decision Sciences, European Journal of Information Systems, and other journals. He is the Eminent Area Editor for MIS for Decision Sciences and Senior Editor of AIS Transactions on Replication Research. He is Program Co-Chair for AMCIS2016 and has held leadership positions for numerous international IS conferences, including Track Chair for Security and Privacy at AMCIS2015 (Puerto Rico), ICIS2013 (Milan), ECIS2012 (Barcelona), and DSI2008; Program Chair for WISE2007 and WISP2009; Program Chair for the 2009 IFIP Workshop on IS Security Research; AE at ICIS four times (Security Track); Track Chair at DSI three times (Security Track in 2008); and Program Committee member of over a dozen international conferences (IFIP, WISP, WEB, WITS, ICEIS, etc.). Dr. Warkentin is the Chair of the UN-sponsored IFIP Working Group on Information Systems Security Research (WG8.11/11.13) and the AIS Security Coordinator. In 2014, he chaired the search committee to select the Editor of the Decision Sciences Journal. He has Guest Edited several journal special issues, including two issues of EJIS. He is AE for a special issue of Information Systems Research and a recent ad hoc SE for MISQ. He also currently serves on the board of the Journal of Computer Information Systems and the editorial advisory board of Information Management & Computer Security.

 

Dr. Warkentin has served as a consultant to numerous companies and organizations and has been a featured speaker at almost 200 industry association meetings, executive development seminars, and academic conferences. He has been a Lecturer at the Army Logistics Management College and was named a “National Distinguished Lecturer” by the Association for Computing Machinery (ACM). He has been a visiting professor or an invited speaker at more than 25 universities around the world, including Georgia State, Indiana, LSU, Florida State, Clemson, USF, Copenhagen Business School, McMaster, Fudan, Oulu, Jyväskylä, Zhejiang, Cape Town, and others. He has earned various recognitions for his teaching at every level, from intro courses to doctoral research seminars—his primary focus has been teaching Systems Analysis classes and Research Design seminars. His research has been funded by the UN, NSF, IBM, NSA, DoD, U.S. Navy, Homeland Security, and others. He was previously on the faculty at George Mason University and held the Reisman Research Professorship at Northeastern University in Boston, where he was also the Director of MIS and e-commerce programs at both the graduate and undergraduate levels. Professor Warkentin’s Ph.D. in MIS is from the University of Nebraska–Lincoln. He can be reached at m.warkentin@msstate.edu.

 

The Decision Sciences Institute, Sponsor

 

The Decision Sciences Institute (DSI) is an independent nonprofit educational multidisciplinary professional organization of academicians and practitioners interested in the application of quantitative and behavioral approaches to all managerial decision making in business, government, and society.

 

Through national, international, and regional conferences; competitions; and publications, DSI provides an international forum for presenting and sharing research in the study of decision processes across disciplines. DSI also plays a vital role in the academic community by offering professional development activities and job placement services.

 

Five regional subdivisions in the United States, as well as regions representing Europe, Mexico, Asia-Pacific, and the Indian subcontinent, operate independently within DSI. Each region has its own elected officers and holds annual meetings.

 

DSI’s members specialize in functional areas such as information systems, finance, marketing, management, accounting, manufacturing/service management, supply chain management, and decision support processes, as well as institutional areas such as healthcare, public administration, resource management, and higher education. They employ leading rigorous research techniques, including experimental designs, empirical quantitative analysis, optimization, simulation, surveys, and other scientific methods, while also valuing innovative methodological horizons.

 

DSI’s goals are to:

  1. Enrich the diverse disciplines of the decision sciences
  2. Integrate these disciplines into bodies of knowledge that are effectively utilized for decision making
  3. Develop theoretical bases for such fundamental processes as implementation, planning, and design of decision systems
  4. Improve educational programs in the decision sciences

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