Business Research Guide

Volume 25 features eight articles. In the lead article, Savannah Guo, Sabrina Chi, and Kirsten Cook examine short selling as one external determinant of corporate tax avoidance and find that short interest is negatively associated with subsequent tax-avoidance levels and this effect is incremental to other factors identified by prior research.  Next, Mark Bauman and Cathalene Rogers Bowler examine the effect of FIN48 on earnings management activity, by focusing on changes in the deferred tax asset valuation allowance. In the third article, Anthony Billings, Cheol Lee, and Jaegul Lee study whether the lowering of dividend taxes as part of the U.S. Jobs and Growth Tax Relief Reconciliation Act of 2003 resulted in an increase in dividend payouts at the expense of R&D spending.  The fourth article by Brian Dowis and Ted Englebrecht examines reasonable compensation in closely-held corporations and the impact of gender, political affiliation, and family makeup on decisions made in the U.S. Tax Court. Then, a practice-related study by Sonja Pippin, Jeffrey Wong, and Richard Mason reports on a survey of Americans living abroad on the impact of tax rules explicitly designed for these individuals. They find that Americans living abroad experience the Foreign Account Tax Compliance Act as negatively impacting their lives.  The next three articles in this volume have an international focus. Zakir Akhand investigates the effects of the corporate sector on the effectiveness of selected tax compliance instruments in the context of large Bangladesh corporate taxpayers. K-Rine Chong and Murugesh Arunachalam examine the determinants of enforced tax compliance behaviour of Malaysian citizens with trust in the tax agency assumed to be a mediating variable. Lastly, Bitzenis and Vasileios investigate the effect of the economic downturn in Greece on the factors determining the level of tax morale through primary data from a European Union funded research project on the Greek shadow economy.

This landmark research volume provides the first detailed history of entrepreneurship in Britain from the nineteenth century to the present. Using a remarkable new database of more than nine million entrepreneurs, it gives new understanding to the development of Britain as the world's 'first industrial nation'. Based on the first long-term whole-population analysis of British small business, it uses novel methods to identify from the 10-yearly population census the two to four million people per year who operated businesses in the period 1851-1911. Using big data analytics, it reveals how British businesses evolved over time, supplementing the census-derived data on individuals with other sources on companies and business histories. By comparing to modern data, it reveals how the late-Victorian period was a 'golden age' for smaller and medium-sized business, driven by family firms, the accelerating participation of women and the increasing use of incorporation as significant vehicles for development. A unique resource and citation for future research on entrepreneurship, of crucial significance to economic development policies for small business around the world, and above all the key entry point for researchers to the database which is deposited at the UK Data Archive, this major publication will change our understanding of the scale and economic significance of small businesses in the nineteenth century.

This book examines issues related to the alignment of business strategies and analytics. Vast amounts of data are being generated, collected, stored, processed, analyzed, distributed and used at an ever-increasing rate by organizations. Simultaneously, managers must rapidly and thoroughly understand the factors driving their business. Business Analytics is an interactive process of analyzing and exploring enterprise data to find valuable insights that can be exploited for competitive advantage. However, to gain this advantage, organizations need to create a sophisticated analytical climate within which strategic decisions are made. As a result, there is a growing awareness that alignment among business strategies, business structures, and analytics are critical to effectively develop and deploy techniques to enhance an organization's decision-making capability. In the past, the relevance and usefulness of academic research in the area of alignment is often questioned by practitioners, but this book seeks to bridge this gap. Aligning Business Strategies and Analytics: Bridging Between Theory and Practice is comprised of twelve chapters, divided into three sections. The book begins by introducing business analytics and the current gap between academic training and the needs within the business community. Chapters 2 - 5 examines how the use of cognitive computing improves financial advice, how technology is accelerating the growth of the financial advising industry, explores the application of advanced analytics to various facets of the industry and provides the context for analytics in practice. Chapters 6 - 9 offers real-world examples of how project management professionals tackle big-data challenges, explores the application of agile methodologies, discusses the operational benefits that can be gained by implementing real-time, and a case study on human capital analytics. Chapters 10 - 11 reviews the opportunities and potential shortfall and highlights how new media marketing and analytics fostered new insights. Finally the book concludes with a look at how data and analytics are playing a revolutionary role in strategy development in the chemical industry.

Smarter decision-making based on cognitive science AlphaBrain is the investor's guide to achieving more, doing better, and reaching higher. At its core, the magnitude of your success is based on the quality of your decisions. The problem is that human beings are poor decision-makers; we tend to approach problems after they arise instead of planning for them in advance. We put too much weight on instinct, belief, and "gut feeling." We make the same mistakes over and over again--so reliably, in fact, that cognitive science can accurately predict exactly which mistakes we'll make and when. This book offers a way to understand and plan for the human mind's usual tendencies to help you make smarter investment decisions. Using a framework based on cognitive research, you'll learn how to approach decisions objectively, systematically, and constantly review your process; you'll take action based on evidence instead of intuition, and get ahead of potential problems before they get the best of you. With so much riding on the correctness of your choices, natural tendency can be a dangerous thing. This book shows you how to remove the bias and emotion to start making choices backed by hard evidence and objective data and lower your stress. Shift your processes from reactive to proactive Base decisions on reality over belief Eliminate cognitive bias and reduce common mistakes Make better decisions with a systematic, objective approach Why do we begin managing risk only once it becomes apparent? Why do we react to the market instead of making the big decisions before emotion takes over? Investing has always been a largely reactive field, but those who dominate it approach decision-making less like a human and more like a machine. AlphaBrain shows you how to get real about investing, with cognitive techniques that lead to smarter, evidence-based decisions.

Understand and interpret the global debt capital markets Now in a completely updated and expanded edition, this is a technical guide to the yield curve, a key indicator of the global capital markets and the understanding and accurate prediction of which is critical to all market participants. Being able to accurately and timely predict the shape and direction of the curve permits practitioners to consistently outperform the market. Analysing and Interpreting the Yield Curve, 2nd Edition describes what the yield curve is, explains what it tells participants, outlines the significance of certain shapes that the curve assumes and, most importantly, demonstrates what factors drive it and how it is modelled and used. Covers the FTP curve, the multi-currency curve, CSA, OIS-Libor and 3-curve models Gets you up to speed on the secured curve Describes application of theoretical versus market curve relative value trading Explains the concept of the risk-free rate Accessible demonstration of curve interpolation best-practice using cubic spline, Nelson-Siegel and Svensson 94 models  This advanced text is essential reading for traders, asset managers, bankers and financial analysts, as well as graduate students in banking and finance.

In this book, the author argues that a new form of capitalism is emerging at the threshold of the Fourth Industrial Revolution. He asserts that we are in the midst of a transition from democratic capitalism to feudal capitalism and highlights how robotization and innovation is leading to a social crisis for the middle classes as economic inequality is on the rise. Johannessen outlines the three elements - Balkanization, the Great Illusion, and the plutocracy - which are referred to here as feudal structures. He describes, analyzes, and discusses these elements both individually and in interaction with each other, and asks: "What structures and processes are promoting and boosting feudal capitalism?" Additionally, the book serves to generate knowledge about how the middle class will develop in the Fourth Industrial Revolution. It shows the various effects of robotization on the middle class, where middle class jobs are transformed, deconstructed, and re-constructed and new part-time jobs are created for the middle class. Given the interest in the Fourth Industrial Revolution, the book will appeal to students of economic sociology and political economy as well as those in innovation and knowledge management courses focusing upon the emerging innovation economy. The topic will attract policymakers, and the accessible and engaging tone will also make the book of interest to the general public. ucted and new part-time jobs are created for the middle class. Given the interest in the Fourth Industrial Revolution, the book will appeal to students of economic sociology and political economy as well as those in innovation and knowledge management courses focusing upon the emerging innovation economy. The topic will attract policymakers, and the accessible and engaging tone will also make the book of interest to the general public.

This book is a result of several years of research to provide readers with a novel and comprehensive analysis on business models in banking, essential to understanding bank businesses pre- and post- financial crisis and how they evolve in the financial system. This book will provide depositors, creditors, credit rating agencies, investors, regulators, supervisors, and other market participants with a comprehensive analytical framework and analysis to better understand the nature of risk attached to the bank business models and its contribution to systemic risk throughout the economic cycle. The book will also guide post-graduate students and researchers delving into this topic.

Get to know the 'why' and 'how' of machine learning and big data in quantitative investment Big Data and Machine Learning in Quantitative Investment is not just about demonstrating the maths or the coding. Instead, it's a book by practitioners for practitioners, covering the questions of why and how of applying machine learning and big data to quantitative finance. The book is split into 13 chapters, each of which is written by a different author on a specific case. The chapters are ordered according to the level of complexity; beginning with the big picture and taxonomy, moving onto practical applications of machine learning and finally finishing with innovative approaches using deep learning. *    Gain a solid reason to use machine learning *    Frame your question using financial markets laws *    Know your data *    Understand how machine learning is becoming ever more sophisticated Machine learning and big data are not a magical solution, but appropriately applied, they are extremely effective tools for quantitative investment -- and this book shows you how.

This book highlights some of the most fascinating current uses, thought-provoking changes, and biggest challenges that Big Data means for our society. The explosive growth of data and advances in Big Data analytics have created a new frontier for innovation, competition, productivity, and well-being in almost every sector of our society, as well as a source of immense economic and societal value. From the derivation of customer feedback-based insights to fraud detection and preserving privacy; better medical treatments; agriculture and food management; and establishing low-voltage networks - many innovations for the greater good can stem from Big Data. Given the insights it provides, this book will be of interest to both researchers in the field of Big Data, and practitioners from various fields who intend to apply Big Data technologies to improve their strategic and operational decision-making processes.

This book presents a comprehensive and holistic study on being a financial practitioner today. Using a practice theory approach, the book analyzes the work life stories of four financial practitioners who have been working between 13 and 25 years during the period of 1973 to 2015 and explains how their work identities are constituted in the practices throughout the years. It clarifies the public image of the management accountants and provides a better understanding of today's management accountants--who they are and how they are formed--while theorizing on how to develop the next generation.

This volume brings together research and system designs that address the scientific basis and the practical systems design issues that support areas ranging from intelligent business interfaces and predictive analytics to economics modeling.  Applications for management science and IT have been of interest areas for business schools and computing experts during recent years. Among the areas that are being treated are modern analytics, heterogeneous computing, business intelligence, ERP (enterprise resource planning), and decision science. Consumers have been pledging their love for data visualizations for a while now, and data is the area being explored, such as B2B and EC (E-commerce), E-business and the Intelligent Web, CRM (customer relationship management), infrastructures, and more. The digitization implications of these many new applications are described and explored in this informative volume.

Conflict Management for Managers: Resolving Workplace, Client, and Policy Disputes provides current and future organizational leaders with the knowledge and skills necessary to prevent and manage every common source of conflict faced at work. Great managers and leaders understand they must communicate effectively, lead diverse teams, provide effective feedback, meet customer expectations, attend to organizational culture, and proactively manage relationships with vendors and regulators. This text provides skill-building exercises to help you lead effective meetings, build strong teams, conduct performance appraisals that motivate team members, coach employees and other managers through difficult times, and craft a positive brand image for both your organization and your own career. The text is divided into three sections: Conflict Management & Collaboration basics, including assessments designed to rate your current skills and set goals for growth; Strategies for preventing conflicts inside your work teams and organizations, including tips for giving feedback, motivating team members, and creating positive organizational cultures; and Processes and skills for enhancing relationships with external stakeholders such as customers, vendors, and regulators. Thoroughly updated, this new edition incorporates a greater number of skill-building exercises, discussion questions, and goal-setting suggestions to allow for the active transition of these skills from the printed page into your daily work life.

The decisions a corporation makes affect more than just its stakeholders, for they can have wide social, environmental, and economic consequences. The relationship between marketing and corporate social responsibility is important to facing these consequences and providing organizational success. Strategic marketing is a tool that can help to defuse tension between companies and their wider stakeholders as well as fend off criticism. Corporate Social Responsibility and Strategic Market Positioning for Organizational Success is a critical scholarly resource that explores different approaches to understanding the nexus between business, marketing, technology, education, engagement, and sustainability. Featuring research on topics such as business strategy, marketing strategies, and organizational culture, this book is ideally designed for business managers and practitioners, commercial and corporate organizations, researchers, and academicians seeking coverage on the strategic importance of corporate social responsibility and marketing for commercial success.

More than ever, organisations are facing a data avalanche from various sources, be they in electronic or hard copy format. How an organisation manages this ever-increasingly important resource - data - can benefit or hinder its ability to achieve its objectives. Creating and Managing a CRM Platform for Your Organisation not only covers how the principles of data management, including data quality and data security, can be applied to an organisation's customer relationship management (CRM) platform, but also highlights how aspects of data management, marketing and technology are needed to operate, develop and manage a CRM platform in order to carry out tasks such as reporting and analysis, developing data plans, undertaking data audits, data migrations and campaign mailings which will result in an organisation using data effectively in order to achieve its goals and objectives. The issues and topics covered apply to all organisations that use a CRM platform and the data it contains as part of their business activities, regardless of the industry sector or size of the organisation. A comprehensive overview of the practices that can be effectively implemented when managing a CRM platform, this book is essential reading for professionals involved in the administration of the CRM platform within their organisation and data management.

Consumer-facing and business-to-business organizations know that if they get their approach to customers right, they will be rewarded with unprecedented customer loyalty. This will lead to increased market share, improved sales, an enhanced reputation and higher profitability. Despite this, many of today's companies fail to recognize that the notable improvements in their service delivery are not keeping up with increased customer expectations. Creating Customer Loyalty outlines simple, easy to understand strategies for creating a sustainable customer loyalty management programme that will win loyal customers. Demonstrating how to focus solely on the things that enable and enhance success, this book shows how to make loyalty a habit and structure a business that attracts and retains the best customers. Using examples from both UK and international companies such as Lexus, Aldi, Dyson, The Ritz-Carlton and Virgin Atlantic, Creating Customer Loyalty explains why customer experience management alone does not build lasting loyalty, and why customer expectation and customer memory management are essential. It outlines how to make every occasion epic by removing those 'ouch' moments, replacing them with 'wow' experiences, and developing dazzling recovery techniques to create unforgettable stories and positive memories.

Already in just a decade of existence, cryptocurrencies have been the world's best-performing financial asset, outperforming stocks, bonds, commodities and currencies. This comprehensive yet concise book will enable the reader to learn about the nuts and bolts of cryptocurrencies, including their history, technology, regulations and economics. Additionally, this book teaches sound investment strategies that already work along with the spectrum of risks and returns. This book provides a plain-language primer for beginners worldwide on how to confidently navigate the rapidly evolving world of cryptocurrencies. Beginning by cutting to the chase, the author lists the common burning questions about cryptocurrency and provides succinct answers. Next, he gives an overview of cryptocurrency's underlying technology: blockchain. He then explores the history of cryptocurrency and why it's attracted so much attention. With that foundation, readers will be ready to understand how to invest in cryptocurrency: how cryptocurrency differs from traditional investments such as stocks, how to decide which cryptocurrency to invest in, how to acquire it, how to send and receive it, along with investment strategies. Additionally, legal issues, social implications, cybersecurity risks and the vocabulary of cryptocurrency are also covered, including Bitcoin and the many alternative cryptocurrencies. Written by a journalist-turnetand how to invest in cryptocurrency: how cryptocurrency differs from traditional investments such as stocks, how to decide which cryptocurrency to invest in, how to acquire it, how to send and receive it, along with investment strategies. Additionally, legal issues, social implications, cybersecurity risks and the vocabulary of cryptocurrency are also covered, including Bitcoin and the many alternative cryptocurrencies. Written by a journalist-turned-professor, this book's appeal lies in its succinct, informative and easy-to-understand style. It will be of great interest to anyone looking to further their understanding of what cryptocurrency is, why it's a big deal, how to acquire it, how to send and receive it, and investment strategies.

Offering a pragmatic understanding of customer engagement as an object of effective marketing management, this book takes an integrative approach and brings together different streams of marketing research, such as customer activism and value formation. The author explores the notion of customer engagement by analysing empirical data compiled from firms operating in the consumer goods and services sectors, as well as from the consumers themselves. An insightful read for scholars of consumer behaviour and customer relationship management, this book advances understanding of the drivers, components and effects (both positive and negative) of customer engagement and proposes a comprehensive framework for its management.  

WINNER: CMI Management Book of the Year Awards 2015 - Innovation and Entrepreneurship Category (1st edition) Many organizations approach customer-centic marketing and innovating their business strategy in isolation to one another, missing groundbreaking opportunities for advancement. Customer Innovation, second edition, turns this on its head by starting with the customer, innovating around their needs, then building a customer led business strategy around it. It presents a well-constructed three-by-three formula of connect, convert, collaborate, laying the foundations for innovation and change, to improve the current customer journey and expand into new customer horizons. This enables new product and service development to flow with outstanding efficiency and substantial growth. Customer Innovation, second edition, includes exciting updates around co-creation and the benefits of involving customers, stakeholders and employees from the beginning. It provides guidance on using technology to reinvent traditional business models, with consumer needs at the heart. With a spectacular range of case studies, including Disney, LEGO and Johnson & Johnson, all delivered with active takeaways, this is the ultimate handbook for any leader, business or marketing strategist, ready to pave the way in a new era of customer led strategy.

This series of books collects a diverse array of work that provides the reader with theoretical and applied information on data analysis methods, models, and techniques, along with appropriate applications. Volume 1 begins with an introductory chapter by Gilbert Saporta, a leading expert in the field, who summarizes the developments in data analysis over the last 50 years. The book is then divided into three parts: Part 1 presents clustering and regression cases; Part 2 examines grouping and decomposition, GARCH and threshold models, structural equations, and SME modeling; and Part 3 presents symbolic data analysis, time series and multiple choice models, modeling in demography, and data mining.

Summary: This book approaches big data, artificial intelligence, machine learning, and business intelligence through the lens of Data Science. We have grown accustomed to seeing these terms mentioned time and time again in the mainstream media. However, our understanding of what they actually mean often remains limited. This book provides a general overview of the terms and approaches used broadly in data science, and provides detailed information on the underlying theories, models, and application scenarios. Divided into three main parts, it addresses what data science is; how and where it is used; and how it can be implemented using modern open source software. The book offers an essential guide to modern data science for all students, practitioners, developers and managers seeking a deeper understanding of how various aspects of data science work, and of how they can be employed to gain a competitive advantage.

Take a deep dive into deep learning  Deep learning provides the means for discerning patterns in the data that drive online business and social media outlets. Deep Learning for Dummies gives you the information you need to take the mystery out of the topic--and all of the underlying technologies associated with it.     In no time, you'll make sense of those increasingly confusing algorithms, and find a simple and safe environment to experiment with deep learning. The book develops a sense of precisely what deep learning can do at a high level and then provides examples of the major deep learning application types. Includes sample code Provides real-world examples within the approachable text Offers hands-on activities to make learning easier Shows you how to use Deep Learning more effectively with the right tools This book is perfect for those who want to better understand the basis of the underlying technologies that we use each and every day.  

Consumer interaction and engagement are vital components to help marketers maintain a lasting relationship with their customers. To achieve this goal, companies must utilize current digital tools to create a strong online presence. Digital Marketing and Consumer Engagement: Concepts, Methodologies, Tools, and Applications is an innovative reference source for the latest academic material on emerging technologies, techniques, strategies, and theories in the promotion of brands through forms of digital media. Highlighting a range of topics, such as mobile commerce, brand communication, and social media, this multi-volume book is ideally designed for professionals, researchers, academics, students, managers, and practitioners actively involved in the marketing industry.

From visionary Silicon Valley entrepreneur Tom Siebel comes a penetrating examination of the new technologies that are disrupting business and government--and how organizations can harness them to transform into digital enterprises.  The confluence of four technologies--elastic cloud computing, big data, artificial intelligence, and the internet of things --writes Siebel, is fundamentally changing how business and government will operate in the 21st century.   Siebel masterfully guides readers through a fascinating discussion of the game-changing technologies driving digital transformation and provides a roadmap to seize them as a strategic opportunity. He shows how leading enterprises such as Enel, 3M, Royal Dutch Shell, the U.S. Department of Defense, and others are applying AI and IoT with stunning results. Digital Transformation is the guidebook every business and government leader needs to survive and thrive in the new digital age.

As more and more emerging markets seek to compete in an ever-growing pool of global competitors, rapidly growing economies are consistently running into issues relating to the proper understanding of fiscal markets. The future of global economics depends on the wellbeing of sustainable economic growth and the expansion of banking systems. Emerging Research on Monetary Policy, Banking, and Financial Markets is an essential reference source that discusses the complex nature of financial markets and the growth of developing economies. Featuring research on topics such as international markets, transition economies, and financial instability, this book is ideally designed for academicians, students, researchers, policymakers, professionals, financial analysts, and economists interested in the future of reformed worldwide banking systems.

In order to fully understand the evolution and future growth of economic systems, we must draw on the lessons of economic history. The 2008 Financial Crisis, for example, mirrored past economic meltdowns with uncanny accuracy. Just like the Great Depression of the 1930s and the Savings and Loan Crisis of the 1980s, it featured deregulated lenders taking incredible risks with other people¿s money. Historical analysis is crucial to understanding trends and patterns that can help us predict the future. This text presents a ground-breaking, pluralistic introduction to economic history and the history of economic thought. Tracing the development of economic systems and economic thought, the text introduces students to the story from ancient times to contemporary capitalism, and also its critics. Focusing in particular on Smith, Marx, Veblen, and Keynes, the text encourages students to consider which ideas and systems are still relevant in the modern world. This book can be used as a standalone text for relevant classes or as a supplement in any principles course.

Corporate social responsibility now touches upon most aspects of the interaction between business and society. The approaches taken to research in this area are as varied as the topics that are researched; yet this is the first book to address the whole range of methods available. This Handbook identifies the existing methods, evaluates their use and discusses the circumstances in which they might be appropriate.The design of a research project is an essential part of undertaking research, as is choosing appropriate methods for investigation and analysis. In addition, business and management research raises theoretical and practical problems that are not encountered in other fields. The chapters address this challenge over distinct parts. Part I on methodology planning is concerned with various aspects of planning the research project, including secondary data and ethics in the research process. Parts II and III outline quantitative and qualitative methods respectively, covering the vast majority of relevant approaches. Part IV provides forward-thinking guidance from experienced academics on the future directions of research in this area.Aimed specifically at researchers, this comprehensive and in-depth Handbook provides an essential resource for anyone working at the forefront of corporate social responsibility research.

Human resources is rapidly evolving into a data-rich field but with big data comes big decisions. The best companies understand how to use data to make strategic workforce decisions and gain significant competitive advantage. Human Resource Management: People, Data, and Analytics by Talya Bauer, Berrin Erdogan, David Caughlin, and Donald Truxillo introduces students to the fundamentals of talent management with integrated coverage of data analytics and how they can be used to inform and support decisions about people in an organization. Features tied to SHRM competencies and data exercises give readers hands-on opportunities to practice the analytical and decision-making skills they need to excel in today's job market. Engaging examples illustrate key HRM concepts and theories, which brings many traditional HRM topics concepts to life. Whether your students are future managers or future HR professionals, they will learn best practices for managing talent across the lifecycle in the changing workplace. 

Whether your students are HRM majors or general business majors, Human Resource Management: Functions, Applications, and Skill Development, Third Edition, will help them develop the skills they need to recruit, select, train, and development talent. Bestselling authors Robert N. Lussier and John R. Hendon explore the important strategic function HR plays in today's organizations. A wide variety of applications, self-assessments, and experiential exercises keep students engaged and help them see the relevancy of HR as they learn skills they can use in their personal and professional lives. New to this EditionIncludes all the latest SHRM 2016 Curriculum Guidebook listings that cover every SHRM guide item, including both the SHRM Certified Professional (SHRM-CP) and the Human Resource Certification Institute Professional in Human Resources (PHR) certification exam--a total of more than 210 individual content requirements from the SHRM curriculum guide.New and updated cases on businesses such as LinkedIn and Amazon bring HR topics to life, apply the text concepts, develop critical thinking skills, and demonstrate how human resources is used to achieve strategic objectives.New Skill Builder exercises allow students to experience HR as they practice making decisions, working in teams, and participating in role-plays.New coverage of current trends in every chapter and updated coverage of changes in the federal laws and regulations are explained in the new edition.New HRM in Action videos illustrate fundamental HR functions using a variety of relatable scenarios with assessment questions that challenge students to test their HR knowledge.

Firms are collecting and analyzing customer data at an ever increasing rate in response to evidence that data analytics (precision targeting, improved selling) generates a positive return. Yet efforts often ignore customers' privacy concerns and feelings of vulnerability with long-term effects on customers' trust, relationships, and ultimately financial performance. Big data, privacy, and cybersecurity often is relegated to IT and legal teams with minimal regard for customer relationships. This book fills the void by taking a customer-centric approach to privacy. It offers both defensive and offensive marketing-based privacy strategies that strongly position firms in today's data-intensive landscape. The book also helps managers anticipate future consumer and legislative trends. Drawing from the authors' own work and extant research, this book offers a compelling guide for building and implementing big data- and privacy-informed business strategies. Specifically, the book - Describes the consumer psychology of privacy-Deconstructs relevant legal and regulatory issues - Offers defensive privacy strategies - Describes offensive privacy strategies - Provides an executive summary with the Six Tenets for Effective Privacy Marketing This book will be useful to managers, students, or the casual reader who is interested in how and why big data and consumer privacy are transforming business. Moving beyond summary privacy insights, the book also offers a detailed and compelling action plan for improving performance by protecting against privacy threats as well as developing and implementing offensive privacy strategy. In the future, many firms will be competing through an integrated, customer-centric big data privacy strategy and this book will guide managers in this journey.

Today's business owner is facing a new set of challenges to provide for a safe and secure business environment. But the prudent business owner has only to look to the professional security consultant for assistance in developing strategies to achieve that goal. This unique book provides the private investigator with the information to become a proactive partner with the business owner in enhancing the safety and security within the business. The text includes information pertaining to the legal ramifications of negligent security claims; how to ensure employees are whom they claim to be; optimum utilization of security personnel and electronic security devices and systems; development of relevant security-related policies and procedures; and supervision and management controls. The book's 34 chapters are written in a very clear and concise style and include such topics as: elements of premises liability and negligent security, inadequate security, adequate background investigations, qualifications of a security force, warehouse and cargo security, successful business marketing, armed or unarmed status, separating high-risk employees, workplace violence programs, officer training, preventing internal theft and fraud, employing subcontractors, home and personal safety, guard post orders, parking lot lighting, home security weaknesses, preparation for litigation, crisis management guidelines, convenience store security, protecting human assets, and developing a business safety and security plan.

Finalist in the Business/Personal Finance category of the 2019 International Book Awards Every day, people around the world make financial decisions. They choose to invest in a stock, sell their holdings in a mutual fund or buy a condominium. These decisions are complex and financially tricky--even for financial professionals. But the literature available on financial research is dated and narrowly focused without any real practical application. Until now there's been a gap in the literature: a book that shows you how to conduct a step by step comprehensive financial investigation that ends in a decision. This book gives you that how. Investing in Financial Research is a guidebook for conducting financial investigations and lays out Cheryl Strauss Einhorn's AREA Method--a research and decision-making system that uniquely controls for bias, focuses on the incentives of others and expands knowledge while improving judgement--and applies it to investigating financial situations. AREA is applicable to all sorts of financial sleuthing, whether for investment analysis or investigative journalism. It allows you to be the expert in your own life. The AREA Method provides you with: *Defined tasks that guide and focus your research on your vision of success; *A structure that isolates your sources, giving you insight into their perspectives, biases and incentives; *Investigative resources, tips and techniques to upgrade your research and analysis beyond document-based sources; *Exercises to foster creativity and originality in your thinking; *A sequence and framework that brings your disparate pieces of research together to build your confidence and conviction about your financial decision.

This book constitutes the refereed post-conference proceedings of the 5th International Workshop on Machine Learning and Data Mining for Sports Analytics, MLSA 2018, colocated with ECML/PKDD 2018, in Dublin, Ireland, in September 2018. The 12 full papers presented together with 4 challenge papers were carefully reviewed and selected from 24 submissions. The papers present a variety of topics, covering the team sports American football, basketball, ice hockey, and soccer, as well as the individual sports cycling and martial arts. In addition, four challenge papers are included, reporting on how to predict pass receivers in soccer. 

This book presents recent machine learning paradigms and advances in learning analytics, an emerging research discipline concerned with the collection, advanced processing, and extraction of useful information from both educators' and learners' data with the goal of improving education and learning systems. In this context, internationally respected researchers present various aspects of learning analytics and selected application areas, including: * Using learning analytics to measure student engagement, to quantify the learning experience and to facilitate self-regulation; * Using learning analytics to predict student performance; * Using learning analytics to create learning materials and educational courses; and * Using learning analytics as a tool to support learners and educators in synchronous and asynchronous eLearning. The book offers a valuable asset for professors, researchers, scientists, engineers and students of all disciplines. Extensive bibliographies at the end of each chapter guide readers to probe further into their application areas of interest.

Engaged employees are assets to every company because they are not only more productive but are also open to new ideas and technologies that often lead to significant business outcomes. Businesses need to establish credible antecedents to employee engagement based on their own culture and needs to develop a pool of highly engaged employees. Management Techniques for Employee Engagement in Contemporary Organizations provides theoretical frameworks and the latest empirical research findings on management strategies for the promotion, adoption, and implementation of work engagement policies. The content within this publication examines gamification, employee engagement, and management techniques and is designed for academicians, managers, business professionals, human resources officers, policymakers, and researchers.

In this 4th edition of The Power Formula for LinkedIn Success, Wayne Breitbarth delivers a fully updated best-in-class handbook for professional network growth, personal brand enhancement, increased sales, and career advancement-all through the LinkedIn platform. Professionals unfamiliar with Breitbarth's previous editions, or new to LinkedIn (including students), will definitely want to pick up this edition-ensuring that they have the latest information on how to navigate the world's largest business networking site, create magnetic, professional profiles, and discover that next job, customer, or opportunity.

Summary: Learn how to build a data science technology stack and perform good data science with repeatable methods. You will learn how to turn data lakes into business assets. The data science technology stack demonstrated in Practical Data Science is built from components in general use in the industry. Data scientist Andreas Vermeulen demonstrates in detail how to build and provision a technology stack to yield repeatable results. He shows you how to apply practical methods to extract actionable business knowledge from data lakes consisting of data from a polyglot of data types and dimensions. What You'll Learn: Become fluent in the essential concepts and terminology of data science and data engineering Build and use a technology stack that meets industry criteria Master the methods for retrieving actionable business knowledge Coordinate the handling of polyglot data types in a data lake for repeatable results.

The fast and easy way to learn Python programming and statistics Python is a general-purpose programming language created in the late 1980s--and named after Monty Python--that's used by thousands of people to do things from testing microchips at Intel, to powering Instagram, to building video games with the PyGame library.  Python For Data Science For Dummies is written for people who are new to data analysis, and discusses the basics of Python data analysis programming and statistics. The book also discusses Google Colab, which makes it possible to write Python code in the cloud. Get started with data science and Python Visualize information Wrangle data Learn from data The book provides the statistical background needed to get started in data science programming, including probability, random distributions, hypothesis testing, confidence intervals, and building regression models for prediction.

Get ready to make SQL easy! Updated for the latest version of SQL, the new edition of this perennial bestseller shows programmers and web developers how to use SQL to build relational databases and get valuable information from them. Covering everything you need to know to make working with SQL easier than ever, topics include how to use SQL to structure a DBMS and implement a database design; secure a database; and retrieve information from a database; and much more.   SQL is the international standard database language used to create, access, manipulate, maintain, and store information in relational database management systems (DBMS) such as Access, Oracle, SQL Server, and MySQL. SQL adds powerful data manipulation and retrieval capabilities to conventional languages--and this book shows you how to harness the core element of relational databases with ease. Server platform that gives you choices of development languages, data types, on-premises or cloud, and operating systems Find great examples on the use of temporal data Jump right in--without previous knowledge of database programming or SQL As database-driven websites continue to grow in popularity--and complexity--SQL For Dummies is the easy-to-understand, go-to resource you need to use it seamlessly.

This book is a mathematically accessible and up-to-date introduction to the tools needed to address modern inference problems in engineering and data science, ideal for graduate students taking courses on statistical inference and detection and estimation, and an invaluable reference for researchers and professionals. With a wealth of illustrations and examples to explain the key features of the theory and to connect with real-world applications, additional material to explore more advanced concepts, and numerous end-of-chapter problems to test the reader's knowledge, this textbook is the 'go-to' guide for learning about the core principles of statistical inference and its application in engineering and data science. The password-protected solutions manual and the image gallery from the book are available online.

Your customers are your future. Smartphones, social media and the internet have given customers access to more information than ever before. If your business fails them, they will switch to your competitor and never return. So how do you keep them? By mapping their journeys, identifying potential hazards and reshaping your business with customer experience (CX) at its heart.  From services to products, online to in-person, small-scale to multinational, your customers' loyalty depends on how you interact with them. Transform Customer Experience is your ultimate guide to putting your customer first. Author and CX expert Isabella Villani shows how you can implement a customer strategy from planning to execution.  Transform Customer Experience offers real-life insights into effective strategies for developing and implementing Customer Experience (CX) programs in a range of corporate, governmental and non-profit environments. * Shows you how to address dimensions of diversity in the customer base * Outlines customer journey mapping * Discusses the implications of customers' omnichannel engagement * Addresses the importance of positive employee experience in establishing a supportive CX culture. Transform Customer Experience explains why you need to embed customer experience in your organisation and shows you how to do it. 

As it turns out, there is a pattern to disruption in an industry, whether the disruptor is Uber, Airbnb, or a dozen other startups that have shaken up incumbents and threatened the status quo. For disruptors to pose a threat to an industry, they have to successfully break the link in choosing, purchasing, or consuming a product or service. Upstarts, Teixeira shows, do not attempt to compete with or overtake a reigning incumbent company entirely. Instead, they work to peel away a portion of the consumer decision-making process, the way Birchbox offered women a new way to sample new beauty products from a variety of cosmetics and fragrance companies, without having to go to the Revlon or Estee Lauder store. Zipcar doesn't attempt to compete head to head with GM but rather to offer people who need transportation an alternative way to get around, without owning a car themselves, or being responsible for fuel, maintenance, or insurance. In a penetrating narrative filled with case studies and stories, Teixeira shows us how startups successfully disrupt industries--and what industry leaders must do to avoid being disrupted and protect their domain.

For many years, sports rights owners have had an ¿if you build it, they will come¿ attitude, suggesting they take their fans for granted. Combined with advances in broadcasting quality, digital marketing, and social media, this has resulted in diminishing attendances and participation levels. The use of CRM (Customer Relationship Management), BI (Business Intelligence) and Data Analytics has therefore become integral to doing business in sports, emulating the approach used by brands such as Amazon, Netflix, and Spotify. Technology has made the world a smaller place; clubs and teams can now connect with their fans anywhere in the world, allowing them to grow their marketplace, but they operate in an ¿attention economy¿ where there¿s too much choice and engagement is key. This book sets out to share the processes and principles the sports industry uses to capitalise on the natural loyalty it creates. Case studies and commentary from around the world are used to demonstrate some of the practices implemented by the world¿s leading sports brands including clubs Arsenal and the San Antonio Spurs. the governing bodies of UEFA and Special Olympics International, and the MLS and NHL. With a focus on our unique challenges coupled with the opportunities the use of data creates, this book is essential reading for professionals within the sports industry.