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Introduction to Contracts, Sales and Product Liability
by Don Mayer Daniel M. Warner George J. Siedel Jethro K. LiebermanMayer, Warner, Siedel and Lieberman's Introduction to Contracts, Sales and Product Liability is an up-to-date textbook that includes legal issues that are covered in an introductory business law course. The text is organized to permit instructors to tailor the materials to their particular approach. The authors take special care to engage students by relating law to everyday events with their clear, concise and readable style.
Introduction to Corporate Communication: Case Studies from India
by Charu Lata Singh Mona GuptaThis book examines the evolution of corporate communication in the recent past in the context of the rapidly changing contemporary business environment in India. Using several case studies, it illustrates the growing need for small and large businesses to recognize and form a direct connection with their stakeholders and further explains the effective ways through which specific business requirements are realized by communication managers. The book explores the greater dependency and function of multiple media strategies and their challenges. It also offers various theoretical and practical insights into the successful integration of diverse communication and marketing strategies like employee communication, investor relations, corporate social responsibility and philanthropy, branding, crisis management, and corporate ethics and governance, among others. Lucid and comprehensive, this book will be an essential read for students and scholars of corporate communications, business management, media and communication studies, public relations, and marketing, as well as communication and marketing practitioners.
An Introduction to Corporate Environmental Management: Striving for Sustainability
by Stefan Schaltegger Roger Burritt Holger PetersenThis book is designed to meet the urgent need for a comprehensive and definitive introduction and teaching text on corporate environmental management. It aims to become the standard textbook for courses examining how business can take the environment into account while also providing an accessible and thorough overview of this increasingly multidisciplinary subject for practitioners.Written by the internationally acknowledged experts Stefan Schaltegger and Roger Burritt (authors of the highly influential Contemporary Environmental Accounting) along with Holger Petersen, the book invites the reader to join in an exploration of the ways in which companies can engage in environmental management and why such engagement can be profitable for business. The reader is invited to: examine whether the contents reflect their own experience, takes their experience further, or opposes their own views; note which of the ideas presented are especially important, add to those ideas, or encourage a reaction (positive or negative); answer questions creatively (based on their own perspective of the issues); encourage themselves to be inspired by questions, which can be investigated further through other written sources of information, such as books you will be guided to through the bibliography, the Internet or the general media; and think about and plan the ways in which the knowledge provided can be implemented in your own situation.The book is organised into four main sections. First, the fundamental ideas and linkages behind business management, the environment and sustainable development are briefly but clearly sketched. The second part of the book outlines the criteria against which environmentally oriented business management can be assessed and the fields of action in which success can be achieved. The third part presents a discussion and examples of strategies for environmental management, which are linked, in the fourth part, to the essential tools of environmental management, especially green marketing, environmental accounting and eco-control.The book is full of case studies and examples related to the main contents of each chapter and each chapter provides a number of questions for the student or reader to address.An Introduction to Corporate Environmental Management is both a textbook and a sourcebook. The reader can either work through the material in a structured way or dip into the content and follow up on specific areas of interest. The materials are designed to be used for understanding and reference, rather than to be learned by heart. The primary aim is for the reader to obtain a practical understanding of the relationship between management and environmental issues which can be applied in day-to-day situations-whether as part of a student's wider view of management or within the practitioner's real-world situation. It will be essential reading for many years to come.
An Introduction to Corporate Finance
by Ross GeddesAn Introduction to Corporate Finance provides the reader with a complete overview of Corporate Finance from perspective of the investment Banker. The author, a corporate trainer and former investment banker clarifies the role of the investment banker in numerous corporate finance transactions, including mergers & acquisitions, IPO's, and valuation. Given today's corporate climate, every student studying corporate finance and those working in the field need this book to sharpen their skill set.
Introduction to Cost-Accounting Systems
by Jacob Cohen David F. HawkinsIntroduces traditional cost accounting systems.
Introduction to Credit Risk
by Giulio CarloneIntroduction to Credit Risk focuses on analysis of credit risk, derivatives, equity investments, portfolio management, quantitative methods, and risk management. In terms of application, this book can be used as an important tool to explain how to generate data rows of expected exposure to counterparty credit risk. The book also directs the reader on how to visualize, in real time, the results of this data, generated with a Java tool. Features Uses an in-depth case study to illustrate multiple factors in counterparty credit risk exposures Suitable for quantitative risk managers at banks, as well as students of finance, financial mathematics, and software engineering Provides the reader with numerous examples and applications Giulio Carlone has an MBA, a PhD, and a Master’s degree in Computer Science from the University of Italy. He is a member of the software system engineering staff of the Department of Computer Science at University College London. He has 20 years of practical experience in technical software engineering and quantitative finance engineering in the commercial sector. His research interests include the use of communication strategies and the implementation of plans and projects using financial software for requirement specifications, requirements analysis, and architectural design.
Introduction to Credit Risk Modeling (Chapman and Hall/CRC Financial Mathematics Series)
by Christian Bluhm Ludger Overbeck Christoph WagnerContains Nearly 100 Pages of New MaterialThe recent financial crisis has shown that credit risk in particular and finance in general remain important fields for the application of mathematical concepts to real-life situations. While continuing to focus on common mathematical approaches to model credit portfolios, Introduction to Credit Risk Modelin
An Introduction to Critical Management Research
by Mihaela L. Kelemen Nick Rumens`This book offers a lively and readable account of how scholars and students might engage with some of the more unusual critical theories associated with the critical management research project. Supported by a wealth of empirical and theoretical material, this book will introduce readers to the complex issues surrounding how to carry out critical management research rather than simply providing prescriptive answers' - Heather Höpfl, University of Essex `Kelemen and Rumens have done management scholars a great service in reviewing a huge amount of disparate knowledge and compressing it into a succinct, lively and provocative book on the current state of Critical Management Studies. This is a "must-read" for those both inside and outside CMS' - Keith Grint, Cranfield University `Management is a critical term for contemporary politics, but getting to grips with managerialism requires research methods that can deal with contemporary and controversial topics. This book provides the tools for that project, and will be invaluable for scholars and students who wish to challenge the conservatism of management academy at the present time' - Martin Parker, University of Leicester Why have certain theories shaped management research? Where do research theory and practice meet, if at all? To ask these questions is to think critically about management research. Mihaela L Kelemen and Nick Rumens explore the fundamentals of critical management theory and their influences on management research, and in doing so offer the student an illuminating introduction to what is often a disparate and complex array of issues. 10 expressive chapters examine theoretical foundations, including those most often sidelined in mainstream management theory; from postmodernism and deconstruction to American pragmatism, along with methodological choices and the intellectual issues each of these presents. Also provided is a timely consideration to the consequences and ethical concerns now inherent to any research issue.
An Introduction to Cryptocurrencies: The Crypto Market Ecosystem (Contemporary Issues in Finance)
by Nikos Daskalakis Panagiotis GeorgitseasThe Crypto Market Ecosystem has emerged as the most profound application of blockchain technology in finance. This textbook adopts an integrated approach, linking traditional functions of the current financial system (payments, traded assets, fundraising, regulation) with the respective functions in the crypto market, in order to facilitate the reader in their understanding of how this new ecosystem works. The book walks the reader through the main features of the blockchain technology, the definitions, classifications, and distinct characteristics of cryptocurrencies and tokens, how these are evaluated, how funds are raised in the cryptocurrency ecosystem (ICOs), and what the main regulatory approaches are. The authors have compiled more than 100 sources from different sub-fields of economics, finance, and regulation to create a coherent textbook that provides the reader with a clear and easily understandable picture of the new world of encrypted finance and its applications. The book is primarily aimed at business and finance students, who already have an understanding of the basic principles of how the financial system works, but also targets a more general readership, by virtue of its broader scope and engaging and accessible tone.
Introduction to Currency Risk: Currency Risk Management (Glenlake Series in Risk Management)
by Brian CoyleFirst Published in 2001. Routledge is an imprint of Taylor & Francis, an informa company.
An Introduction to Cybernetic Synergy: Improving Decision-Making and Cost Efficiency in Business and Commercial Environments
by Mark RowbothamCybernetics is about having a goal and taking action to achieve that goal. Knowing whether you have reached your goal (or at least are getting closer to it) requires “feedback”, a concept that was made rigorous by cybernetics. The subject of Cybernetic Synergy, although emanating from a socio-economic experiment of economic control by cybernetic means in Chile in the early 1970s, has never been approached as an applied subject in its own right. Indeed, the subject of applied cybernetics has never been addressed as a separate issue, although it has been shown that the overall subject of cybernetics applies to a wide range of disciplines, from biology to business via mathematics and engineering. Cybernetic synergy is the study of relationships and controls of and between corporate entities, on an external basis, and departments within corporate entities, on an internal basis. It concerns the decision-making process, and how decisions can be made based on feedback from any part of the organization being managed. It therefore concerns the issue of input of raw material or information, the output of the transformed information and materials, and the rectification of any issue based on negative feedback related to the productive process. It investigates not only the basic theory of the subject but also its applications in the commercial and business environment, as well as touching on government and administrative issues where shortcomings have emerged owing to a lack of synergy and communication. There are already several books available on the subject to cybernetics, but they are all concerned with mathematical approaches along with very heavy technical texts, most of which are completely alien to the layman or the simple practitioner. Furthermore, other than references to business or economic practice in some books, there has never been a book published purely about the subject of applied cybernetics relating to business practices. The book covers the subjects of management and economic cybernetics, and how the theory of cybernetic control can be used to manage business and government functions, whether small, medium or large. It looks at the history of cybernetics, and how some pioneering cybernetic concepts were used in Chile in the early 1970s to manage the Chilean economy. It uses these same principles, along with later cybernetic models, to show how such concepts can be applied to the present-day economy and business practices. It examines present-day business practices and shows how weaknesses in these systems can be addressed and eliminated by the application of cybernetic practices. The aims of the book are to provide an insight into the subject of management and business cybernetics, using the principle of cybernetic synergy, to resolve intra-corporate issues and create more efficient business practices based on simple command-and-control processes. Essentially, this book provides an in-depth insight into the use of cybernetics in business and administration environments, and would explain how cybernetics is a valuable tool in resolving corporate issues concerning efficiency and overall control. It would give a detailed explanation of the various practices and functions involved in business operations and practices.
An Introduction to Data: Everything You Need to Know About AI, Big Data and Data Science (Studies in Big Data #50)
by Francesco CoreaThis book reflects the author’s years of hands-on experience as an academic and practitioner. It is primarily intended for executives, managers and practitioners who want to redefine the way they think about artificial intelligence (AI) and other exponential technologies. Accordingly the book, which is structured as a collection of largely self-contained articles, includes both general strategic reflections and detailed sector-specific information. More concretely, it shares insights into what it means to work with AI and how to do it more efficiently; what it means to hire a data scientist and what new roles there are in the field; how to use AI in specific industries such as finance or insurance; how AI interacts with other technologies such as blockchain; and, in closing, a review of the use of AI in venture capital, as well as a snapshot of acceleration programs for AI companies.
An Introduction to Data Analysis in R: Hands-on Coding, Data Mining, Visualization and Statistics from Scratch (Use R!)
by Alfonso Zamora Saiz Carlos Quesada González Lluís Hurtado Gil Diego Mondéjar RuizThis textbook offers an easy-to-follow, practical guide to modern data analysis using the programming language R. The chapters cover topics such as the fundamentals of programming in R, data collection and preprocessing, including web scraping, data visualization, and statistical methods, including multivariate analysis, and feature exercises at the end of each section. The text requires only basic statistics skills, as it strikes a balance between statistical and mathematical understanding and implementation in R, with a special emphasis on reproducible examples and real-world applications. This textbook is primarily intended for undergraduate students of mathematics, statistics, physics, economics, finance and business who are pursuing a career in data analytics. It will be equally valuable for master students of data science and industry professionals who want to conduct data analyses.
An Introduction to Data Analysis Using IBM SPSS
by Lokesh JasraiThis textbook elaborates on the basic understanding and application of statistical tests and data analysis using hypothetical datasets and SPSS version 22.0. It presents step-by-step processes and to-the-point interpretation for quick assimilation and comprehension.Data Analysis Using SPSS Begins with the stages of data entry and goes on till editing and data visualization. Takes the readers through descriptive statistics, frequency, univariate, bivariate and regression analysis, cross-tabulation, linear models and non-parametric test procedures. Presents information through dialog boxes and tabular charts, and also incorporates important formulae, calculations and illustrations of sample data for an in-depth understanding of concepts and results. Can be used as a textbook as well as a reference book as it helps to build conceptual understanding, gaining software skills, and communicates data and its insights to accomplish research assignments, research/capstone projects and PhD research work. With comprehensive coverage, this book would be useful to the students, researchers and teachers of the various social sciences disciplines like Psychology, Sociology, Education, Social Work, Agriculture Management and other allied subjects. It would also be an invaluable companion to professionals and data scientists working in the field of analytics.
An Introduction to Data Science
by Jeffrey S. Saltz Jeffrey Morgan StantonAn Introduction to Data Science is an easy-to-read, gentle introduction for advanced undergraduate, certificate, and graduate students coming from a wide range of backgrounds into the world of data science. After introducing the basic concepts of data science, the book builds on these foundations to explain data science techniques using the R programming language and RStudio® from the ground up. Short chapters allow instructors to group concepts together for a semester course and provide students with manageable amounts of information for each concept. By taking students systematically through the R programming environment, the book takes the fear out of data science and familiarizes students with the environment so they can be successful when performing advanced functions. The authors cover statistics from a conceptual standpoint, focusing on how to use and interpret statistics, rather than the math behind the statistics. This text then demonstrates how to use data effectively and efficiently to construct models, predict outcomes, visualize data, and make decisions. Accompanying digital resources provide code and datasets for instructors and learners to perform a wide range of data science tasks.
An Introduction to Data Science
by Jeffrey S. Saltz Jeffrey Morgan StantonAn Introduction to Data Science is an easy-to-read, gentle introduction for advanced undergraduate, certificate, and graduate students coming from a wide range of backgrounds into the world of data science. After introducing the basic concepts of data science, the book builds on these foundations to explain data science techniques using the R programming language and RStudio® from the ground up. Short chapters allow instructors to group concepts together for a semester course and provide students with manageable amounts of information for each concept. By taking students systematically through the R programming environment, the book takes the fear out of data science and familiarizes students with the environment so they can be successful when performing advanced functions. The authors cover statistics from a conceptual standpoint, focusing on how to use and interpret statistics, rather than the math behind the statistics. This text then demonstrates how to use data effectively and efficiently to construct models, predict outcomes, visualize data, and make decisions. Accompanying digital resources provide code and datasets for instructors and learners to perform a wide range of data science tasks.
An Introduction to Data Science With Python
by Jeffrey S. Saltz Jeffrey Morgan StantonAn Introduction to Data Science with Python by Jeffrey S. Saltz and Jeffery M. Stanton provides readers who are new to Python and data science with a step-by-step walkthrough of the tools and techniques used to analyze data and generate predictive models. After introducing the basic concepts of data science, the book builds on these foundations to explain data science techniques using Python-based Jupyter Notebooks. The techniques include making tables and data frames, computing statistics, managing data, creating data visualizations, and building machine learning models. Each chapter breaks down the process into simple steps and components so students with no more than a high school algebra background will still find the concepts and code intelligible. Explanations are reinforced with linked practice questions throughout to check reader understanding. The book also covers advanced topics such as neural networks and deep learning, the basis of many recent and startling advances in machine learning and artificial intelligence. With their trademark humor and clear explanations, Saltz and Stanton provide a gentle introduction to this powerful data science tool. Included with this title: LMS Cartridge: Import this title’s instructor resources into your school’s learning management system (LMS) and save time. Don′t use an LMS? You can still access all of the same online resources for this title via the password-protected Instructor Resource Site.
An Introduction to Data Science With Python
by Jeffrey S. Saltz Jeffrey Morgan StantonAn Introduction to Data Science with Python by Jeffrey S. Saltz and Jeffery M. Stanton provides readers who are new to Python and data science with a step-by-step walkthrough of the tools and techniques used to analyze data and generate predictive models. After introducing the basic concepts of data science, the book builds on these foundations to explain data science techniques using Python-based Jupyter Notebooks. The techniques include making tables and data frames, computing statistics, managing data, creating data visualizations, and building machine learning models. Each chapter breaks down the process into simple steps and components so students with no more than a high school algebra background will still find the concepts and code intelligible. Explanations are reinforced with linked practice questions throughout to check reader understanding. The book also covers advanced topics such as neural networks and deep learning, the basis of many recent and startling advances in machine learning and artificial intelligence. With their trademark humor and clear explanations, Saltz and Stanton provide a gentle introduction to this powerful data science tool. Included with this title: LMS Cartridge: Import this title’s instructor resources into your school’s learning management system (LMS) and save time. Don′t use an LMS? You can still access all of the same online resources for this title via the password-protected Instructor Resource Site.
Introduction to Decision Making
by Francis J. AguilarDescribes the process of decision making (establish objectives, generate alternatives, and so on) emphasizing the human side of it (using rules of thumb, favoring one's own pet projects) yet demonstrating the role an analytic/quantitative contribution has to make.
An Introduction to Decision Theory
by Martin PetersonThis introduction to decision theory offers comprehensive and accessible discussions of decision-making under ignorance and risk, the foundations of utility theory, the debate over subjective and objective probability, Bayesianism, causal decision theory, game theory, and social choice theory. No mathematical skills are assumed, and all concepts and results are explained in non-technical and intuitive as well as more formal ways. There are over 100 exercises with solutions, and a glossary of key terms and concepts. An emphasis on foundational aspects of normative decision theory (rather than descriptive decision theory) makes the book particularly useful for philosophy students, but it will appeal to readers in a range of disciplines including economics, psychology, political science and computer science.
An Introduction to Decision Theory
by Martin PetersonThis introduction to decision theory offers comprehensive and accessible discussions of decision-making under ignorance and risk, the foundations of utility theory, the debate over subjective and objective probability, Bayesianism, causal decision theory, game theory, and social choice theory. No mathematical skills are assumed, and all concepts and results are explained in non-technical and intuitive as well as more formal ways. There are over 100 exercises with solutions, and a glossary of key terms and concepts. An emphasis on foundational aspects of normative decision theory (rather than descriptive decision theory) makes the book particularly useful for philosophy students, but it will appeal to readers in a range of disciplines including economics, psychology, political science and computer science.
Introduction to Derivative Instruments
by Kendall Backstrand W. Carl KesterProvides an elementary introduction to three major classes of derivative instruments: options, forwards and futures, and swaps.
Introduction to Design Theory: Philosophy, Critique, History and Practice
by Michalle Gal Jonathan VenturaIntroduction to Design Theory introduces a comprehensive, systematic, and didactic outline of the discourse of design. Designed both as a course book and a source for research, this textbook methodically covers the central concepts of design theory, definitions of design, its historical milestones, and its relations to culture, industry, body, ecology, language, society, gender and ideology. Demonstrated by a shift towards the importance of the sociocultural context in which products are manufactured and embedded, this book showcases design theory as an emerging sub-discipline of design, unique in its practice-based approach and its broad perception of design. It offers an in-depth understanding of the central concepts, such as "form" and "function", "theory" and "practice", through a discussion of key case studies and historical examples, such as the advent of the view of design in antiquity, the introduction of mass production to modernist design or the ideological shifts in design in the mid-twentieth century, as well as analytical tools for further dissection and learning in practice. With a focus on a combination of several theoretical knowledge foundations — aesthetics and philosophy, critical theories, cultural studies, design history and design anthropology — the reader is enabled to approach design as a central pivot around which contemporary culture revolves, reflecting, reaffirming or challenging social and cultural structures. Aimed towards undergraduate and postgraduate students, as well as teachers and scholars, from across the design disciplines, Introduction to Design Theory invites readers to engage with design from an interdisciplinary perspective, departing from the traditional academic compartmentalisation of practice, history and philosophy.
Introduction to Development Economics: An Alternative Approach to Growth, Sustainability and Cooperation
by Marco Missaglia Gianni VaggiThis textbook provides an introduction to development economics that examines both the drivers of economic growth and sustainable development. It initially presents development economics within a historical and political context, before widening its attention to theories of growth and development, the importance of the Sustainable Development Goals, the imbalance of power between the Global North and South, global development policies, and the role of international finance in development. Rather than focusing primarily on neoclassical growth theories, qualitative and quantitative aspects of the development process are both highlighted. This book aims to give readers a broad understanding of the economic drivers of development and the economic theories that underpin them. It will be relevant to undergraduate and postgraduate students interested in development economics and sustainable development.
Introduction to Development Economics
by John Ward-SmithCharged with analyzing and criticizing the way economies develop and grow, development economists play a vital role in attempting to reduce inequality across the world. The fourth edition of this classic textbook introduces students to this vital field. All of the popular aspects of earlier editions are retained with new additions such as the intro