Advances in Business and Management Forecasting PDF Download
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Author: Kenneth D. Lawrence
Publisher: Emerald Group Publishing
ISBN: 1781903328
Category : Business & Economics
Languages : en
Pages : 238
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Book Description
Aims to present the studies in the application of forecasting methodologies to such areas as sales, marketing, finance, health care, and strategic decision making.
Author: Kenneth D. Lawrence
Publisher: Emerald Group Publishing
ISBN: 1781903328
Category : Business & Economics
Languages : en
Pages : 238
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Book Description
Aims to present the studies in the application of forecasting methodologies to such areas as sales, marketing, finance, health care, and strategic decision making.
Author: Kenneth D. Lawrence
Publisher: JAI Press Incorporated
ISBN: 9780762312818
Category : Business & Economics
Languages : en
Pages : 318
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Book Description
Aims to present state-of-the-art studies in the application of forecasting methodologies to such areas as sales, marketing, and strategic decision making. The topics in this title include: sales and marketing, forecasting, new product forecasting, judgmentally based forecasting, the application of surveys to forecasting, and more.
Author: Kenneth D. Lawrence
Publisher: Emerald Group Publishing
ISBN: 0762312815
Category : Business & Economics
Languages : en
Pages : 301
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Book Description
Aims to present state-of-the-art studies in the application of forecasting methodologies to such areas as sales, marketing, and strategic decision making. The topics in this title include: sales and marketing, forecasting, new product forecasting, judgmentally based forecasting, the application of surveys to forecasting, and more.
Author: G. Peter Zhang
Publisher: IGI Global
ISBN: 1591401771
Category : Business & Economics
Languages : en
Pages : 305
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Book Description
Forecasting is one of the most important activities that form the basis for strategic, tactical, and operational decisions in all business organizations. Recently, neural networks have emerged as an important tool for business forecasting. Neural Networks in Business Forecasting provides researchers and practitioners with some recent advances in applying neural networks to business forecasting. A number of case studies demonstrating the innovative or successful applications of neural networks to many areas of business as well as methods to improve neural network forecasting performance are presented.
Author: George Bojadziev
Publisher: World Scientific
ISBN: 9812770623
Category : Business & Economics
Languages : en
Pages : 253
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Book Description
This is truly an interdisciplinary book for knowledge workers in business, finance, management and socio-economic sciences based on fuzzy logic. It serves as a guide to and techniques for forecasting, decision making and evaluations in an environment involving uncertainty, vagueness, impression and subjectivity. Traditional modeling techniques, contrary to fuzzy logic, do not capture the nature of complex systems especially when humans are involved. Fuzzy logic uses human experience and judgement to facilitate plausible reasoning in order to reach a conclusion. Emphasis is on applications presented in the 27 case studies including Time Forecasting for Project Management, New Product Pricing, and Control of a Parasit-Pest System.
Author: A. Reza Hoshmand
Publisher: Routledge
ISBN: 1135257132
Category : Business & Economics
Languages : en
Pages : 382
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Book Description
This book emphasizes the rationale, application, and interpretation of the most commonly used forecasting techniques in business.
Author: Ratih Hurriyati
Publisher: CRC Press
ISBN: 1000651215
Category : Business & Economics
Languages : en
Pages : 1051
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Book Description
The GCBME Book Series aims to promote the quality and methodical reach of the Global Conference on Business Management & Entrepreneurship, which is intended as a high-quality scientific contribution to the science of business management and entrepreneurship. The Contributions are the main reference articles on the topic of each book and have been subject to a strict peer review process conducted by experts in the fields. The conference provided opportunities for the delegates to exchange new ideas and implementation of experiences, to establish business or research connections and to find Global Partners for future collaboration. The conference and resulting volume in the book series is expected to be held and appear annually. The year 2019 theme of book and conference is "Creating Innovative and Sustainable Value-added Businesses in the Disruption Era". The ultimate goal of GCBME is to provide a medium forum for educators, researchers, scholars, managers, graduate students and professional business persons from the diverse cultural backgrounds, to present and discuss their researches, knowledge and innovation within the fields of business, management and entrepreneurship. The GCBME conferences cover major thematic groups, yet opens to other relevant topics: Organizational Behavior, Innovation, Marketing Management, Financial Management and Accounting, Strategic Management, Entrepreneurship and Green Business.
Author: Simon Ramo
Publisher: McGraw Hill Professional
ISBN: 0071626174
Category : Business & Economics
Languages : en
Pages : 239
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Book Description
“A helpful read not just for corporate strategists but for almost anyone looking ahead.” Los Angeles Times What's Your Next Big Move? At the turn of the century, Western Union passed on the chance to dominate the telephone industry. Later, General Electric concluded that a new invention called television was doomed to fail. And very recently, decision makers at the highest level were taken off-guard when the global economy dropped from under their feet--and took their companies with it. Today, only those business leaders with the power of long-term foresight will seize and hold true competitive advantage. But can managers really predict the future? Yes, to a greater extent than one might expect. Strategic Business Forecasting shows how to identify and quantify possible events that may affect your business. Applying creativity, personal experience, and the lessons of history, you can use such forecasting to develop plans that will help your organization compete. Drs. Simon Ramo and Ronald Sugar, two giants of the aerospace industry, share their Four-Measures Rating system to help you explore the world of possibilities--thoroughly and systematically. Under their tutelage, you will be equipped to: Create a comprehensive list of possible scenarios concerning your business Utilize a scoring system to rate each scenario's merit as a serious and useful prediction Develop an effective plan that strategically shapes the future of your organization The authors provide vivid illustrations of the Four-Measures system at work with real-world examples of both forecasting failures and successes. No one can predict perfectly, and the authors don't promise magic. With the approach described in Strategic Business Forecasting, however, you can ensure your organization is better poised to seize future opportunities, avoid pitfalls, and handle anything the increasingly volatile global economy throws your way.
Author: Michael Gilliland
Publisher: John Wiley & Sons
ISBN: 1119782473
Category : Business & Economics
Languages : en
Pages : 435
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Book Description
Discover the role of machine learning and artificial intelligence in business forecasting from some of the brightest minds in the field In Business Forecasting: The Emerging Role of Artificial Intelligence and Machine Learning accomplished authors Michael Gilliland, Len Tashman, and Udo Sglavo deliver relevant and timely insights from some of the most important and influential authors in the field of forecasting. You'll learn about the role played by machine learning and AI in the forecasting process and discover brand-new research, case studies, and thoughtful discussions covering an array of practical topics. The book offers multiple perspectives on issues like monitoring forecast performance, forecasting process, communication and accountability for forecasts, and the use of big data in forecasting. You will find: Discussions on deep learning in forecasting, including current trends and challenges Explorations of neural network-based forecasting strategies A treatment of the future of artificial intelligence in business forecasting Analyses of forecasting methods, including modeling, selection, and monitoring In addition to the Foreword by renowned researchers Spyros Makridakis and Fotios Petropoulos, the book also includes 16 "opinion/editorial" Afterwords by a diverse range of top academics, consultants, vendors, and industry practitioners, each providing their own unique vision of the issues, current state, and future direction of business forecasting. Perfect for financial controllers, chief financial officers, business analysts, forecast analysts, and demand planners, Business Forecasting will also earn a place in the libraries of other executives and managers who seek a one-stop resource to help them critically assess and improve their own organization's forecasting efforts.
Author: Bhimasankaram Pochiraju
Publisher: Springer
ISBN: 3319688375
Category : Business & Economics
Languages : en
Pages : 971
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Book Description
This comprehensive edited volume is the first of its kind, designed to serve as a textbook for long-duration business analytics programs. It can also be used as a guide to the field by practitioners. The book has contributions from experts in top universities and industry. The editors have taken extreme care to ensure continuity across the chapters. The material is organized into three parts: A) Tools, B) Models and C) Applications. In Part A, the tools used by business analysts are described in detail. In Part B, these tools are applied to construct models used to solve business problems. Part C contains detailed applications in various functional areas of business and several case studies. Supporting material can be found in the appendices that develop the pre-requisites for the main text. Every chapter has a business orientation. Typically, each chapter begins with the description of business problems that are transformed into data questions; and methodology is developed to solve these questions. Data analysis is conducted using widely used software, the output and results are clearly explained at each stage of development. These are finally transformed into a business solution. The companion website provides examples, data sets and sample code for each chapter.
