Download or read book Studies in Quantitative Decision Making written by Diptesh Ghosh and published by Springer Nature. This book was released on 2022-03-10 with total page 224 pages. Available in PDF, EPUB and Kindle. Book excerpt: This edited volume is an in-depth collation of the usage of different quantitative decision making techniques in practical areas such as lean & green supply chain, reverse logistics, perishable logistics, closed loop supply chain, sustainable project management, retail management, block chain applications, optimal supplier selection problem, demand/supply modelling, forecasting under uncertainties, scheduling & sequencing, resource constraint logistics, dynamic network supply chain, risk evaluation, and so on. Additionally, the book also solves these issues in theoretical and practical context using innovative mathematical tools. Consisting of selected papers from the 23rd Annual International Conference of the Society of Operations Management, this book's highlight is not only the coverage of interesting topics, but also how these topics are dealt with, such that post-graduate students as well as researchers and industry personnel working in areas like engineering, economics, social sciences, management, mathematics, etc., can derive the maximum benefit by reading or referring to this book. Apart from the emphasis on new mathematical, operations research, operations management, and statistical techniques, the authors also ensure that all the concepts are made clear by highlighting their practical significance in different areas of applications of operations management. By using novel presentation methods, the book offers a good practical flavor of all the different topics relevant to operations management in the coming decades.
Download or read book Quantitative Analysis for Decision Makers 7th Edition Formally known as Quantitative Methods for Decision Makers written by Mik Wisniewski and published by Pearson UK. This book was released on 2019-05-12 with total page 955 pages. Available in PDF, EPUB and Kindle. Book excerpt: Were you looking for the book with access to MyLab Math Global? This product is the book alone and does NOT come with access to MyLab Math Global. Students, if MyLab Math Global is a recommended/mandatory component of the course, please ask your instructor for the correct ISBN and course ID. MyLab Math Global should only be purchased when required by an instructor. Instructors, contact your Pearson representative for more information. There's no doubt that a manager's job is getting tougher. Do it better, do it faster, do it cheaper are the pressures every manager faces. And at the heart of every manager's job is decision-making: deciding what to do and how to do it. This well-respected text looks at how quantitative analysis techniques can be used effectively to support such decision making. As a manager, developing a good understanding of the quantitative analysis techniques at your disposal is crucial. Knowing how, and when, to use them and what their results really mean can be the difference between making a good or bad decision and, ultimately, between business success and failure. Appealing both to students on introductory-level courses and to MBA and postgraduate students, this internationally successful text provides an accessible introduction to a subject area that students often find difficult. Quantitative Analysis for Decision Makers (formerly known as Quantitative Methods for Decision Makers) helps students to understand the relevance of quantitative methods of analysis to management decision-making by relating techniques directly to real-life business decisions in public and private sector organisations and focuses on developing appropriate skills and understanding of how the techniques fit into the wider management process. Key features: The use of real data sets to show how analytical techniques are used in practice “QADM in Action” case studies illustrating how organisations benefit from the use of analytical techniques Articles from the Financial Times illustrating the use of such techniques in a variety of business settings Fully worked examples and exercises supported by Excel data sets Student Progress Check activities in each chapter with solutions A 300+ page Tutors Solutions Manual
Download or read book Quantitative Methods for Decision Making Using Excel written by Glyn Davis and published by Oxford University Press, USA. This book was released on 2012-11-22 with total page 653 pages. Available in PDF, EPUB and Kindle. Book excerpt: Quantitative Methods for Decision Making is a comprehensive guide that provides students with the key techniques and methodology they will need to successfully engage with all aspects of quantitative analysis and decision making; both on their undergraduate course, and in the larger context of their future business environments. Organized in accordance with the enterprise functional structure where the decision making takes place, the textbook encompasses a broad range of functions, each detailed with clear examples illustrated through the single application tool Microsoft Excel. The authors approach a range of methods which are divided into major enterprise functions such as marketing, sales, business development, manufacturing, quality control and finance; illustrating how the methods can be applied in practice and translated into a working environment. Each chapter is packed with short case studies to exemplify the practical use of techniques, and contains a wealth of exercises after key sections and concepts, giving students the opportunity to monitor their own progress using the solutions at the back of the book. An Online Resource Centre accompanies the text and includes: For students: - Numerical skills workbook with additional exercises, questions and content - Data from the examples and exercises in the book - Online glossary of terms - Revision tips - Visual walkthrough videos covering the application of a range of quantitative methods - Appendices to the book For lecturers: - Instructor's manual including solutions from the text and a guide to structuring lectures and seminars - PowerPoint presentations - Test bank with questions for each chapter - Suggested assignment and examination questions
Download or read book Quantitative Methods for Management written by Miguel Ángel Canela and published by Springer. This book was released on 2019-07-03 with total page 142 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book focuses on the use of quantitative methods for both business and management, helping readers understand the most relevant quantitative methods for managerial decision-making. Pursuing a highly practical approach, the book reduces the theoretical information to a minimum, so as to give full prominence to the analysis of real business problems. Each chapter includes a brief theoretical explanation, followed by a real-life managerial case that needs to be solved, which is accompanied by a corresponding Microsoft Excel® dataset. The practical cases and exercises are solved using Excel, and for each problem, the authors provide an Excel file with the complete solution and corresponding calculations, which can be downloaded easily from the book’s website. Further, in an appendix, readers can find solutions to the same problems, but using the R statistical language. The book represents a valuable reference guide for postgraduate, MBA and executive education students, as it offers a hands-on, practical approach to learning quantitative methods in a managerial context. It will also be of interest to managers looking for a practical and straightforward way to learn about quantitative methods and improve their decision-making processes.
Download or read book Handbook of Ethics in Quantitative Methodology written by A. T. Panter and published by Routledge. This book was released on 2011-03-01 with total page 508 pages. Available in PDF, EPUB and Kindle. Book excerpt: This comprehensive Handbook is the first to provide a practical, interdisciplinary review of ethical issues as they relate to quantitative methodology including how to present evidence for reliability and validity, what comprises an adequate tested population, and what constitutes scientific knowledge for eliminating biases. The book uses an ethical framework that emphasizes the human cost of quantitative decision making to help researchers understand the specific implications of their choices. The order of the Handbook chapters parallels the chronology of the research process: determining the research design and data collection; data analysis; and communicating findings. Each chapter: Explores the ethics of a particular topic Identifies prevailing methodological issues Reviews strategies and approaches for handling such issues and their ethical implications Provides one or more case examples Outlines plausible approaches to the issue including best-practice solutions. Part 1 presents ethical frameworks that cross-cut design, analysis, and modeling in the behavioral sciences. Part 2 focuses on ideas for disseminating ethical training in statistics courses. Part 3 considers the ethical aspects of selecting measurement instruments and sample size planning and explores issues related to high stakes testing, the defensibility of experimental vs. quasi-experimental research designs, and ethics in program evaluation. Decision points that shape a researchers’ approach to data analysis are examined in Part 4 – when and why analysts need to account for how the sample was selected, how to evaluate tradeoffs of hypothesis-testing vs. estimation, and how to handle missing data. Ethical issues that arise when using techniques such as factor analysis or multilevel modeling and when making causal inferences are also explored. The book concludes with ethical aspects of reporting meta-analyses, of cross-disciplinary statistical reform, and of the publication process. This Handbook appeals to researchers and practitioners in psychology, human development, family studies, health, education, sociology, social work, political science, and business/marketing. This book is also a valuable supplement for quantitative methods courses required of all graduate students in these fields.
Download or read book Quantitative Methods in Health Care Management written by Yasar A. Ozcan and published by John Wiley & Sons. This book was released on 2009-04-20 with total page 6 pages. Available in PDF, EPUB and Kindle. Book excerpt: Thoroughly revised and updated for Excel®, this second edition of Quantitative Methods in Health Care Management offers a comprehensive introduction to quantitative methods and techniques for the student or new administrator. Its broad range of practical methods and analysis spans operational, tactical, and strategic decisions. Users will find techniques for forecasting, decision-making, facility location, facility layout, reengineering, staffing, scheduling, productivity, resource allocation, supply chain and inventory management, quality control, project management, queuing models for capacity, and simulation. The book's step-by-step approach, use of Excel, and downloadable Excel templates make the text highly practical. Praise for the Second Edition "The second edition of Dr. Ozcan's textbook is comprehensive and well-written with useful illustrative examples that give students and health care professionals a perfect toolkit for quantitative decision making in health care on the road for the twenty-first century. The text helps to explain the complex health care management problems and offer support for decision makers in this field." Marion Rauner, associate professor, School of Business, Economics, and Statistics, University of Vienna. "Quantitative Methods in Health Care Administration, Second Edition covers a broad set of necessary and important topics. It is a valuable text that is easy to teach and learn from." David Belson, professor, Department of Industrial Engineering, Viterbi School of Engineering, University of Southern California.
Download or read book Authentic Quantitative Analysis for Educational Leadership Decision Making and EdD Dissertations written by Stanley Pogrow and published by . This book was released on 2015-01-01 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Quantitative Risk Management and Decision Making in Construction written by Amarjit Singh and published by ASCE Press. This book was released on 2017 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Singh introduces valuable techniques for weighing and evaluating alternatives in decision making with a focus on risk analysis for identifying, quantifying, and mitigating risks associated with construction projects.
Download or read book Managerial Communication written by Geraldine E. Hynes and published by SAGE Publications. This book was released on 2018-01-20 with total page 489 pages. Available in PDF, EPUB and Kindle. Book excerpt: A Practical, Strategic Approach to Managerial Communication Managerial Communication: Strategies and Applications focuses on communication skills and strategies that managers need to be successful in today’s workplace. Known for its holistic overview of communication, solid research base, and focus on managerial competencies, this text continues to be the market leader in the field. In the Seventh Edition, author Geraldine E. Hynes and new co-author Jennifer R. Veltsos preserve the book’s strategic perspective and include new updates to reflect the modern workplace. The new edition adds a chapter on visual communication that explains how to design documents, memorable presentations, and impactful graphics. New coverage of virtual teams, virtual presentations, and online communication help students avoid common pitfalls when using technology. "This is probably the best book on Managerial Communication in the market." –Astrid Sheil, California State University San Bernardino
Download or read book Primer on Decision Making written by James G. March and published by Simon and Schuster. This book was released on 1994-05-23 with total page 423 pages. Available in PDF, EPUB and Kindle. Book excerpt: Building on lecture notes from his acclaimed course at Stanford University, James March provides a brilliant introduction to decision making, a central human activity fundamental to individual, group, organizational, and societal life. March draws on research from all the disciplines of social and behavioral science to show decision making in its broadest context. By emphasizing how decisions are actually made -- as opposed to how they should be made -- he enables those involved in the process to understand it both as observers and as participants. March sheds new light on the decision-making process by delineating four deep issues that persistently divide students of decision making: Are decisions based on rational choices involving preferences and expected consequences, or on rules that are appropriate to the identity of the decision maker and the situation? Is decision making a consistent, clear process or one characterized by ambiguity and inconsistency? Is decision making significant primarily for its outcomes, or for the individual and social meanings it creates and sustains? And finally, are the outcomes of decision processes attributable solely to the actions of individuals, or to the combined influence of interacting individuals, organizations, and societies? March's observations on how intelligence is -- or is not -- achieved through decision making, and possibilities for enhancing decision intelligence, are also provided. March explains key concepts of vital importance to students of decision making and decision makers, such as limited rationality, history-dependent rules, and ambiguity, and weaves these ideas into a full depiction of decision making. He includes a discussion of the modern aspects of several classic issues underlying these concepts, such as the relation between reason and ignorance, intentionality and fate, and meaning and interpretation. This valuable textbook by one of the seminal figures in the history of organizational decision making will be required reading for a new generation of scholars, managers, and other decision makers.
Download or read book Quantitative Research in Education written by Wayne K. Hoy and published by SAGE Publications. This book was released on 2015-07-22 with total page 146 pages. Available in PDF, EPUB and Kindle. Book excerpt: "The book provides a reference point for beginning educational researchers to grasp the most pertinent elements of designing and conducting research..." —Megan Tschannen-Moran, The College of William & Mary Quantitative Research in Education: A Primer, Second Edition is a brief and practical text designed to allay anxiety about quantitative research. Award-winning authors Wayne K. Hoy and Curt M. Adams first introduce readers to the nature of research and science, and then present the meaning of concepts and research problems as they dispel notions that quantitative research is too difficult, too theoretical, and not practical. Rich with concrete examples and illustrations, the Primer emphasizes conceptual understanding and the practical utility of quantitative methods while teaching strategies and techniques for developing original research hypotheses. The Second Edition includes suggestions for empirical investigation and features a new section on self-determination theory, examples from the latest research, a concluding chapter illustrating the practical applications of quantitative research, and much more. This accessible Primer is perfect for students and researchers who want a quick understanding of the process of scientific inquiry and who want to learn how to effectively create and test ideas.
Download or read book Quantitative Decision Making written by Dr. Prashant S. Kadu I Dr. Mukul Burghate and published by International Journal of Commerce and Management Studies(https://ijcams.com/). This book was released on with total page 95 pages. Available in PDF, EPUB and Kindle. Book excerpt: Similar to operations management, project management employs an array of quantitative techniques while performing planning, scheduling, forecasting, and monitoring tasks. The main purpose of the quantitative approach is to make an optimal decision by using mathematical and statistical models in a situation when the probability of all outcomes is uncertain.Quantitative approach to decision-making produces the best results when the problem is clearly defined, several alternatives exist, and decision outcomes are easily measurable. However, in the case that many external factors are outside of the decision-maker's control and their probability is unknown, the quantitative methods can become unreliable.The purpose of this study Material is to present an introduction to the subjects of MBA Semester-I. The contents of this text will also cater to the students of courses like DFM, DMM, M.Com and B.Com, etc. The book contains the syllabus from basics of the subjects going into the intricacies of the subjects. All the concepts have been explained with relevant examples and diagrams to make it interesting for the readers.An attempt is made here by the experts author to assist the students by way of providing Study Material as per the curriculum with no commercial considerations. However, it is implicit that these are exam-oriented Study Material only and students are advised to attend regular classes and utilize reference books available in the library for In-depth knowledge.We owe to many websites and their free contents; we would like to specially acknowledge contents of website www.wikipedia.com and various authors whose writings formed the basis for this book. We acknowledge our thanks to them. At the end we would like to say that there is always a room for improvement in whatever we do. We would appreciate any suggestions regarding this study material from the readers so that the contents can be made more interesting and meaningful. Dr. Mukul Burghate Author
Download or read book Decision Making in Natural Resource Management written by Michael J. Conroy and published by John Wiley & Sons. This book was released on 2013-03-18 with total page 480 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is intended for use by natural resource managers and scientists, and students in the fields of natural resource management, ecology, and conservation biology, who are confronted with complex and difficult decision making problems. The book takes readers through the process of developing a structured approach to decision making, by firstly deconstructing decisions into component parts, which are each fully analyzed and then reassembled to form a working decision model. The book integrates common-sense ideas about problem definitions, such as the need for decisions to be driven by explicit objectives, with sophisticated approaches for modeling decision influence and incorporating feedback from monitoring programs into decision making via adaptive management. Numerous worked examples are provided for illustration, along with detailed case studies illustrating the authors’ experience in applying structured approaches. There is also a series of detailed technical appendices. An accompanying website provides computer code and data used in the worked examples. Additional resources for this book can be found at: www.wiley.com/go/conroy/naturalresourcemanagement.
Download or read book Quantitative Techniques in Business Management and Finance written by Umeshkumar Dubey and published by CRC Press. This book was released on 2016-11-25 with total page 573 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is especially relevant to undergraduates, postgraduates and researchers studying quantitative techniques as part of business, management and finance. It is an interdisciplinary book that covers all major topics involved at the interface between business and management on the one hand and mathematics and statistics on the other. Managers and others in industry and commerce who wish to obtain a working knowledge of quantitative techniques will also find this book useful.
Download or read book Research Methods and Data Analysis for Business Decisions written by James E. Sallis and published by Springer Nature. This book was released on 2021-10-30 with total page 263 pages. Available in PDF, EPUB and Kindle. Book excerpt: This introductory textbook presents research methods and data analysis tools in non-technical language. It explains the research process and the basics of qualitative and quantitative data analysis, including procedures and methods, analysis, interpretation, and applications using hands-on data examples in QDA Miner Lite and IBM SPSS Statistics software. The book is divided into four parts that address study and research design; data collection, qualitative methods and surveys; statistical methods, including hypothesis testing, regression, cluster and factor analysis; and reporting. The intended audience is business and social science students learning scientific research methods, however, given its business context, the book will be equally useful for decision-makers in businesses and organizations.
Download or read book Operational Leadership Using Quantitative Decision Making written by Deandra Cassone and published by Springer Nature. This book was released on with total page 125 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book The Oxford Handbook of Organizational Decision Making written by Gerard P. Hodgkinson and published by Oxford University Press, USA. This book was released on 2008 with total page 651 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Oxford Handbook of Decision-Making comprehensively surveys theory and research on organizational decision-making, broadly conceived. Emphasizing psychological perspectives, while encompassing the insights of economics, political science, and sociology, it provides coverage at theindividual, group, organizational, and inter-organizational levels of analysis. In-depth case studies illustrate the practical implications of the work surveyed.Each chapter is authored by one or more leading scholars, thus ensuring that this Handbook is an authoritative reference work for academics, researchers, advanced students, and reflective practitioners concerned with decision-making in the areas of Management, Psychology, and HRM.Contributors: Eric Abrahamson, Julia Balogun, Michael L Barnett, Philippe Baumard, Nicole Bourque, Laure Cabantous, Prithviraj Chattopadhyay, Kevin Daniels, Jerker Denrell, Vinit M Desai, Giovanni Dosi, Roger L M Dunbar, Stephen M Fiore, Mark A Fuller, Michael Shayne Gary, Elizabeth George,Jean-Pascal Gond, Paul Goodwin, Terri L Griffith, Mark P Healey, Gerard P Hodgkinson, Gerry Johnson, Michael E Johnson-Cramer, Alfred Kieser, Ann Langley, Eleanor T Lewis, Dan Lovallo, Rebecca Lyons, Peter M Madsen, A. John Maule, John M Mezias, Nigel Nicholson, Gregory B Northcraft, David Oliver,Annie Pye, Karlene H Roberts, Jacques Rojot, Michael A Rosen, Isabelle Royer, Eugene Sadler-Smith, Eduardo Salas, Kristyn A Scott, Zur Shapira, Carolyne Smart, Gerald F Smith, Emma Soane, Paul R Sparrow, William H Starbuck, Matt Statler, Kathleen M Sutcliffe, Michal Tamuz , Teri JaneUrsacki-Bryant, Ilan Vertinsky, Benedicte Vidaillet, Jane Webster, Karl E Weick, Benjamin Wellstein, George Wright, Kuo Frank Yu, and David Zweig.