Customer Choice Models Versus Machine Learning

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Discrete Choice Methods with Simulation

Author : Kenneth Train
Publisher : Cambridge University Press
ISBN 13 : 0521766559
Total Pages : 399 pages
Book Rating : 4.5/5 (217 download)

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Book Synopsis Discrete Choice Methods with Simulation by : Kenneth Train

Download or read book Discrete Choice Methods with Simulation written by Kenneth Train and published by Cambridge University Press. This book was released on 2009-07-06 with total page 399 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book describes the new generation of discrete choice methods, focusing on the many advances that are made possible by simulation. Researchers use these statistical methods to examine the choices that consumers, households, firms, and other agents make. Each of the major models is covered: logit, generalized extreme value, or GEV (including nested and cross-nested logits), probit, and mixed logit, plus a variety of specifications that build on these basics. Simulation-assisted estimation procedures are investigated and compared, including maximum stimulated likelihood, method of simulated moments, and method of simulated scores. Procedures for drawing from densities are described, including variance reduction techniques such as anithetics and Halton draws. Recent advances in Bayesian procedures are explored, including the use of the Metropolis-Hastings algorithm and its variant Gibbs sampling. The second edition adds chapters on endogeneity and expectation-maximization (EM) algorithms. No other book incorporates all these fields, which have arisen in the past 25 years. The procedures are applicable in many fields, including energy, transportation, environmental studies, health, labor, and marketing.

Artificial Intelligence Marketing and Predicting Consumer Choice

Author : Steven Struhl
Publisher : Kogan Page Publishers
ISBN 13 : 0749479566
Total Pages : 273 pages
Book Rating : 4.7/5 (494 download)

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Book Synopsis Artificial Intelligence Marketing and Predicting Consumer Choice by : Steven Struhl

Download or read book Artificial Intelligence Marketing and Predicting Consumer Choice written by Steven Struhl and published by Kogan Page Publishers. This book was released on 2017-04-03 with total page 273 pages. Available in PDF, EPUB and Kindle. Book excerpt: The ability to predict consumer choice is a fundamental aspect to success for any business. In the context of artificial intelligence marketing, there are a wide array of predictive analytic techniques available to achieve this purpose, each with its own unique advantages and disadvantages. Artificial Intelligence Marketing and Predicting Consumer Choice serves to integrate these widely disparate approaches, and show the strengths, weaknesses, and best applications of each. It provides a bridge between the person who must apply or learn these problem-solving methods and the community of experts who do the actual analysis. It is also a practical and accessible guide to the many remarkable advances that have been recently made in this fascinating field. Online resources: bonus chapters on AI, ensembles and neural nets, and finishing experiments, plus single and multiple product simulators.

Interpretable Machine Learning

Author : Christoph Molnar
Publisher : Lulu.com
ISBN 13 : 0244768528
Total Pages : 320 pages
Book Rating : 4.2/5 (447 download)

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Book Synopsis Interpretable Machine Learning by : Christoph Molnar

Download or read book Interpretable Machine Learning written by Christoph Molnar and published by Lulu.com. This book was released on 2020 with total page 320 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is about making machine learning models and their decisions interpretable. After exploring the concepts of interpretability, you will learn about simple, interpretable models such as decision trees, decision rules and linear regression. Later chapters focus on general model-agnostic methods for interpreting black box models like feature importance and accumulated local effects and explaining individual predictions with Shapley values and LIME. All interpretation methods are explained in depth and discussed critically. How do they work under the hood? What are their strengths and weaknesses? How can their outputs be interpreted? This book will enable you to select and correctly apply the interpretation method that is most suitable for your machine learning project.

Marketing Strategy

Author : Robert W. Palmatier
Publisher : Bloomsbury Publishing
ISBN 13 : 1350305286
Total Pages : 414 pages
Book Rating : 4.3/5 (53 download)

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Book Synopsis Marketing Strategy by : Robert W. Palmatier

Download or read book Marketing Strategy written by Robert W. Palmatier and published by Bloomsbury Publishing. This book was released on 2020-12-31 with total page 414 pages. Available in PDF, EPUB and Kindle. Book excerpt: Marketing Strategy offers a unique and dynamic approach based on four underlying principles that underpin marketing today: All customers differ; All customers change; All competitors react; and All resources are limited. The structured framework of this acclaimed textbook allows marketers to develop effective and flexible strategies to deal with diverse marketing problems under varying circumstances. Uniquely integrating marketing analytics and data driven techniques with fundamental strategic pillars the book exemplifies a contemporary, evidence-based approach. This base toolkit will support students' decision-making processes and equip them for a world driven by big data. The second edition builds on the first's successful core foundation, with additional pedagogy and key updates. Research-based, action-oriented, and authored by world-leading experts, Marketing Strategy is the ideal resource for advanced undergraduate, MBA, and EMBA students of marketing, and executives looking to bring a more systematic approach to corporate marketing strategies. New to this Edition: - Revised and updated throughout to reflect new research and industry developments, including expanded coverage of digital marketing, influencer marketing and social media strategies - Enhanced pedagogy including new Worked Examples of Data Analytics Techniques and unsolved Analytics Driven Case Exercises, to offer students hands-on practice of data manipulation as well as classroom activities to stimulate peer-to-peer discussion - Expanded range of examples to cover over 250 diverse companies from 25 countries and most industry segments - Vibrant visual presentation with a new full colour design

Innovative Technology at the Interface of Finance and Operations

Author : Volodymyr Babich
Publisher : Springer Nature
ISBN 13 : 3030757293
Total Pages : 304 pages
Book Rating : 4.0/5 (37 download)

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Book Synopsis Innovative Technology at the Interface of Finance and Operations by : Volodymyr Babich

Download or read book Innovative Technology at the Interface of Finance and Operations written by Volodymyr Babich and published by Springer Nature. This book was released on 2022-01-01 with total page 304 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book examines the challenges and opportunities arising from an assortment of technologies as they relate to Operations Management and Finance. The book contains primers on operations, finance, and their interface. After that, each section contains chapters in the categories of theory, applications, case studies, and teaching resources. These technologies and business models include Big Data and Analytics, Artificial Intelligence, Machine Learning, Blockchain, IoT, 3D printing, sharing platforms, crowdfunding, and crowdsourcing. The balance between theory, applications, and teaching materials make this book an interesting read for academics and practitioners in operations and finance who are curious about the role of new technologies. The book is an attractive choice for PhD-level courses and for self-study.

Handbook of Choice Modelling

Author : Stephane Hess
Publisher : Edward Elgar Publishing
ISBN 13 : 1781003157
Total Pages : 721 pages
Book Rating : 4.7/5 (81 download)

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Book Synopsis Handbook of Choice Modelling by : Stephane Hess

Download or read book Handbook of Choice Modelling written by Stephane Hess and published by Edward Elgar Publishing. This book was released on 2014-08-29 with total page 721 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Handbook of Choice Modelling, composed of contributions from senior figures in the field, summarizes the essential analytical techniques and discusses the key current research issues. The book opens with Nobel Laureate Daniel McFadden calling for d

Artificial Intelligence and Machine Learning in the Travel Industry

Author : Ben Vinod
Publisher : Springer Nature
ISBN 13 : 3031254562
Total Pages : 182 pages
Book Rating : 4.0/5 (312 download)

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Book Synopsis Artificial Intelligence and Machine Learning in the Travel Industry by : Ben Vinod

Download or read book Artificial Intelligence and Machine Learning in the Travel Industry written by Ben Vinod and published by Springer Nature. This book was released on 2023-05-26 with total page 182 pages. Available in PDF, EPUB and Kindle. Book excerpt: Over the past decade, Artificial Intelligence has proved invaluable in a range of industry verticals such as automotive and assembly, life sciences, retail, oil and gas, and travel. The leading sectors adopting AI rapidly are Financial Services, Automotive and Assembly, High Tech and Telecommunications. Travel has been slow in adoption, but the opportunity for generating incremental value by leveraging AI to augment traditional analytics driven solutions is extremely high. The contributions in this book, originally published as a special issue for the Journal of Revenue and Pricing Management, showcase the breadth and scope of the technological advances that have the potential to transform the travel experience, as well as the individuals who are already putting them into practice.

The Digital Twin Paradigm for Smarter Systems and Environments: The Industry Use Cases

Author :
Publisher : Academic Press
ISBN 13 : 0128187573
Total Pages : 386 pages
Book Rating : 4.1/5 (281 download)

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Book Synopsis The Digital Twin Paradigm for Smarter Systems and Environments: The Industry Use Cases by :

Download or read book The Digital Twin Paradigm for Smarter Systems and Environments: The Industry Use Cases written by and published by Academic Press. This book was released on 2020-01-28 with total page 386 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Digital Twin Paradigm for Smarter Systems and Environments: The Industry Use Cases, Volume 117, the latest volume in the Advances in Computers series, presents detailed coverage of new advancements in computer hardware, software, theory, design and applications. Chapters vividly illustrate how the emerging discipline of digital twin is strategically contributing to various digital transformation initiatives. Specific chapters cover Demystifying the Digital Twin Paradigm, Digital Twin Technology for "Smarter Manufacturing", The Fog Computing/ Edge Computing to leverage Digital Twin, The industry use cases for the Digital Twin idea, Enabling Digital Twin at the Edge, The Industrial Internet of Things (IIOT), and much more. - Provides in-depth descriptions of digital transformation technologies and tools - Covers various research accomplishments in this flourishing field of relevance - Includes many detailed industry use cases with all the right information

Choice Computing: Machine Learning and Systemic Economics for Choosing

Author : Parag Kulkarni
Publisher : Springer Nature
ISBN 13 : 9811940592
Total Pages : 254 pages
Book Rating : 4.8/5 (119 download)

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Book Synopsis Choice Computing: Machine Learning and Systemic Economics for Choosing by : Parag Kulkarni

Download or read book Choice Computing: Machine Learning and Systemic Economics for Choosing written by Parag Kulkarni and published by Springer Nature. This book was released on 2022-08-28 with total page 254 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents thoughts and pathways to build revolutionary machine learning models with the new paradigm of machine learning to adapt behaviorism. It focuses on two aspects – one focuses on architecting a choice process to lead users on the certain choice path while the second focuses on developing machine learning models based on choice paradigm. This book is divided in three parts where part one deals with human choice and choice architecting models with stories of choice architects. Second part closely studies human choosing models and deliberates on developing machine learning models based on the human choice paradigm. Third part takes you further to look at machine learning based choice architecture. The proposed pioneering choice-based paradigm for machine learning presented in the book will help readers to develop products – help readers to solve problems in a more humanish way and to negotiate with uncertainty in a more graceful but in an objective way. It will help to create unprecedented value for business and society. Further, it will unveil a new paradigm for modern intelligent businesses to embark on the new journey; the journey of transition from shackled feature rich and choice poor systems to feature flexible and choice rich natural behaviors.

Enhancing Business Communications and Collaboration Through Data Science Applications

Author : Geada, Nuno
Publisher : IGI Global
ISBN 13 : 1668467887
Total Pages : 280 pages
Book Rating : 4.6/5 (684 download)

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Book Synopsis Enhancing Business Communications and Collaboration Through Data Science Applications by : Geada, Nuno

Download or read book Enhancing Business Communications and Collaboration Through Data Science Applications written by Geada, Nuno and published by IGI Global. This book was released on 2023-03-21 with total page 280 pages. Available in PDF, EPUB and Kindle. Book excerpt: Digital evolution has become increasingly present in our lives, whether on cellphones, computers, watches, or other appliances. As a result of the wide access we have to the digital world, the amount of data generated daily is vast. This density of information generated at every moment can be the insight needed for the success of an organization. Much is said about data-based decision-making to generate the best results. The new capabilities of data intelligence unleashed by the emergence of cloud computing and artificial intelligence make it one of the most promising areas of digital transformation change management. Enhancing Business Communications and Collaboration Through Data Science Applications provides relevant theoretical frameworks and the latest empirical research findings in the area. It is written for professionals who wish to improve their understanding of the strategic role of trust at different levels of the information and knowledge society. Covering topics such as data science, online business communication, and user-centered design, this premier reference source is an ideal resource for business managers and leaders, entrepreneurs, data scientists, data analysts, sociologists, students and educators of higher education, librarians, researchers, and academicians.

Genetic Algorithms for Machine Learning

Author : John J. Grefenstette
Publisher : Springer Science & Business Media
ISBN 13 : 1461527406
Total Pages : 167 pages
Book Rating : 4.4/5 (615 download)

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Book Synopsis Genetic Algorithms for Machine Learning by : John J. Grefenstette

Download or read book Genetic Algorithms for Machine Learning written by John J. Grefenstette and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 167 pages. Available in PDF, EPUB and Kindle. Book excerpt: The articles presented here were selected from preliminary versions presented at the International Conference on Genetic Algorithms in June 1991, as well as at a special Workshop on Genetic Algorithms for Machine Learning at the same Conference. Genetic algorithms are general-purpose search algorithms that use principles inspired by natural population genetics to evolve solutions to problems. The basic idea is to maintain a population of knowledge structure that represent candidate solutions to the problem of interest. The population evolves over time through a process of competition (i.e. survival of the fittest) and controlled variation (i.e. recombination and mutation). Genetic Algorithms for Machine Learning contains articles on three topics that have not been the focus of many previous articles on GAs, namely concept learning from examples, reinforcement learning for control, and theoretical analysis of GAs. It is hoped that this sample will serve to broaden the acquaintance of the general machine learning community with the major areas of work on GAs. The articles in this book address a number of central issues in applying GAs to machine learning problems. For example, the choice of appropriate representation and the corresponding set of genetic learning operators is an important set of decisions facing a user of a genetic algorithm. The study of genetic algorithms is proceeding at a robust pace. If experimental progress and theoretical understanding continue to evolve as expected, genetic algorithms will continue to provide a distinctive approach to machine learning. Genetic Algorithms for Machine Learning is an edited volume of original research made up of invited contributions by leading researchers.

Stakeholder Wellbeing and Value Creation

Author : Uday Salunkhe
Publisher : Transnational Press London
ISBN 13 : 1801351708
Total Pages : 181 pages
Book Rating : 4.8/5 (13 download)

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Book Synopsis Stakeholder Wellbeing and Value Creation by : Uday Salunkhe

Download or read book Stakeholder Wellbeing and Value Creation written by Uday Salunkhe and published by Transnational Press London. This book was released on 2022-12-17 with total page 181 pages. Available in PDF, EPUB and Kindle. Book excerpt: The relationship between firms and stakeholders is held together by a continuous two-way cycle of value creation. In this, how can value be managed such that the stakeholder's wellbeing is ensured? How does stakeholder wellbeing vary across business contexts? Are there varied perspectives in understanding stakeholder wellbeing? These and other pertinent questions have been addressed in this book. Particularly, this book provides a synthesis of research perspectives on value creation and stakeholder wellbeing through a collection of chapters from scholars in this area. It synthesizes research perspectives on value into three categories – firm-focused, customer-focused, and community-focused. In doing so, this book presents novel insights through these lenses and highlights best practices in ensuring stakeholder wellbeing. Responding to the rapidly changing business landscape where stakeholders are more connected, accessible, and informed than ever before, many firms are interested in creating value for all and in the process ensuring stakeholder wellbeing. This book will appeal to research scholars, practitioners, consultants, and managers looking to seek new insights and understanding on value creation. Contents: CHAPTER 1. PERSPECTIVES ON STAKEHOLDER WELLBEING AND VALUE CREATION - Bharath Rajan, Uday Salunkhe, D. N. Murthy CHAPTER 2. INFLUENCE OF SENSORY MARKETING ON CONSUMER BEHAVIOUR AND THEIR IMPACT ON BRAND EQUITY - Abhinandan N, Manasa K, Kiran G CHAPTER 3. ATTITUDE TOWARDS FEMALE ROLE PORTRAYAL IN ADVERTISING AND ITS IMPACT ON BRAND IMAGE & PURCHASE INTENTION: LINKAGES WITH FEMININE ROLE ORIENTATION - Shraddha Shivani, Evelina Sahay, Somnath Mukherjee, Sadiya Fatima CHAPTER 4. DETERMINANTS OF PURCHASE INTENTIONS TOWARDS GREEN MOBILES – AN EXTENSION OF THE THEORY OF PLANNED BEHAVIOUR (TPB) - Deepa Rohit CHAPTER 5. PREDICTING CONSUMER DECISIONS USING MODIFIED TEMPORAL MOTIVATION THEORY - Pranav Manjunath Bhat, Priyanshu M, S Shruti, Madhav Murthy CHAPTER 6. MARKETING 4.0: EMERGING TECHNOLOGIES THAT ARE REFINING DIGITAL MARKETING - Fathima Raj Kilimas, Ashish Chandra, Narendra Rustagi CHAPTER 7. MARKETING GAME CHANGERS: CAPITALIZING THE MICRO-MOMENT THROUGH AUGMENTED REALITY - Uday Salunkhe, D. Narasimha Murthy, Vijaya Kumar. B. CHAPTER 8. EXPLORATORY STUDY ON VALUE CREATION ALONG THE SUPPLY CHAIN OF ELECTRIC VEHICLES: AN OPINION MINING APPROACH - Dakshina Murthy R.A, Madhumita Guha Majumder, M. Khurrum S. Bhutta CHAPTER 9. VALUE CREATION FOR VENTURE CAPITAL-BACKED FIRMS BY AVOIDING THE.. LIKELIHOOD OF MORAL HAZARDS - Vandana Panwar, Christopher Erickson, Alan Tupicoff CHAPTER 10. APPLYING BEHAVIOURAL ECONOMICS TO BRING IN SOCIAL TRANSFORMATION: RURAL SHORING FOR STAKEHOLDER WELLBEING - Vikramaditya Kanodia and Rima Ghose Chowdhury

Machine Learning and Artificial Intelligence in Marketing and Sales

Author : Niladri Syam
Publisher : Emerald Group Publishing
ISBN 13 : 180043880X
Total Pages : 224 pages
Book Rating : 4.8/5 (4 download)

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Book Synopsis Machine Learning and Artificial Intelligence in Marketing and Sales by : Niladri Syam

Download or read book Machine Learning and Artificial Intelligence in Marketing and Sales written by Niladri Syam and published by Emerald Group Publishing. This book was released on 2021-03-10 with total page 224 pages. Available in PDF, EPUB and Kindle. Book excerpt: Machine Learning and Artificial Intelligence in Marketing and Sales explores the ideas, and the statistical and mathematical concepts, behind Artificial Intelligence (AI) and machine learning models, as applied to marketing and sales, without getting lost in the details of mathematical derivations and computer programming.

Handbook of Marketing Decision Models

Author : Berend Wierenga
Publisher : Springer Science & Business Media
ISBN 13 : 0387782133
Total Pages : 621 pages
Book Rating : 4.3/5 (877 download)

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Book Synopsis Handbook of Marketing Decision Models by : Berend Wierenga

Download or read book Handbook of Marketing Decision Models written by Berend Wierenga and published by Springer Science & Business Media. This book was released on 2008-09-05 with total page 621 pages. Available in PDF, EPUB and Kindle. Book excerpt: Marketing models is a core component of the marketing discipline. The recent developments in marketing models have been incredibly fast with information technology (e.g., the Internet), online marketing (e-commerce) and customer relationship management (CRM) creating radical changes in the way companies interact with their customers. This has created completely new breeds of marketing models, but major progress has also taken place in existing types of marketing models. Handbook of Marketing Decision Models presents the state of the art in marketing decision models. The book deals with new modeling areas, such as customer relationship management, customer value and online marketing, as well as recent developments in other advertising, sales promotions, sales management, and competition are dealt with. New developments are in consumer decision models, models for return on marketing, marketing management support systems, and in special techniques such as time series and neural nets.

AI-Driven Marketing Research and Data Analytics

Author : Masengu, Reason
Publisher : IGI Global
ISBN 13 :
Total Pages : 515 pages
Book Rating : 4.3/5 (693 download)

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Book Synopsis AI-Driven Marketing Research and Data Analytics by : Masengu, Reason

Download or read book AI-Driven Marketing Research and Data Analytics written by Masengu, Reason and published by IGI Global. This book was released on 2024-04-22 with total page 515 pages. Available in PDF, EPUB and Kindle. Book excerpt: The surge in technological advancements, coupled with the exponential growth of data, has left marketers grappling with the need for a paradigm shift. The once-established methods of consumer engagement are now overshadowed by the complexities of the digital age, demanding a profound understanding of artificial intelligence (AI) and data analytics. The gap between academic knowledge and practical applications in the field of marketing has widened, leaving industry professionals, educators, and students seeking a comprehensive resource to navigate the intricacies of this transformative era. AI-Driven Marketing Research and Data Analytics is a groundbreaking book that serves as a beacon for marketers, educators, and industry leaders alike. With a keen focus on the symbiotic relationship between AI, data analytics, and marketing research, this book bridges the gap between theory and practice. It not only explores the historical evolution of marketing but also provides an innovative examination of how AI and data analytics are reshaping the landscape. Through real-time case studies, ethical considerations, and in-depth insights, the book offers a holistic solution to the challenges faced by marketing professionals in the digital age.

Computational Intelligence in Communications and Business Analytics

Author : Somnath Mukhopadhyay
Publisher : Springer Nature
ISBN 13 : 3031107667
Total Pages : 460 pages
Book Rating : 4.0/5 (311 download)

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Book Synopsis Computational Intelligence in Communications and Business Analytics by : Somnath Mukhopadhyay

Download or read book Computational Intelligence in Communications and Business Analytics written by Somnath Mukhopadhyay and published by Springer Nature. This book was released on 2022-07-21 with total page 460 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 4th International Conference on Computational Intelligence, Communications, and Business Analytics, CICBA 2022, held in Silchar, India, in January 2022. The 21 full papers and 13 short papers presented in this volume were carefully reviewed and selected from 107 submissions. The papers are organized in topical sections on computational intelligence; computational intelligence in communication; and computational intelligence in analytics.

Operationalizing Dynamic Pricing Models

Author : Steffen Christ
Publisher : Springer Science & Business Media
ISBN 13 : 3834961841
Total Pages : 363 pages
Book Rating : 4.8/5 (349 download)

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Book Synopsis Operationalizing Dynamic Pricing Models by : Steffen Christ

Download or read book Operationalizing Dynamic Pricing Models written by Steffen Christ and published by Springer Science & Business Media. This book was released on 2011-04-02 with total page 363 pages. Available in PDF, EPUB and Kindle. Book excerpt: Steffen Christ shows how theoretic optimization models can be operationalized by employing self-learning strategies to construct relevant input variables, such as latent demand and customer price sensitivity.