This book is ideal for one- or two-semester or two- orthree-quarter courses covering topics in college algebra, finite mathematics,and calculus for students in business, economics, and the life and socialsciences. Introductory Mathematical Analysis for Business, Economics, and the Life andSocial Sciences provides a mathematical foundation for students in avariety of fields and majors. The authors establish an emphasis on algebraiccalculations that sets this text apart from other introductory, appliedmathematics books. Because the process of calculating variables builds skillsin mathematical modeling, this emphasis paves the way for students to solvereal-world problems that use calculus. The book's comprehensivestructure-covering college algebra in Chapters 0 through 4, finite mathematicsin Chapters 5 through 9, and calculus in Chapters 10 through 17-offersinstructors flexibility in how they use the material based on the coursethey're teaching, the semester they're at, or what the students' backgroundallows and their needs dictate.

A classic text for accuracy and statistical precision. Statistics for Business and Economics enables readers to conduct serious analysis of applied problems rather than running simple "canned" applications. This text is also at a mathematically higher level than most business statistics texts and provides readers with the knowledge they need to become stronger analysts for future managerial positions. The eighth edition of this book has been revised and updated to provide readers with improved problem contexts for learning how statistical methods can improve their analysis and understanding of business and economics.

Throughout the world, artificial intelligence is reshaping businesses, trade interfaces, economic activities, and society as a whole. In recent years, scholarly research on artificial intelligence has emerged from a variety of empirical and applied domains of knowledge. Computer scientists have developed advanced deep learning algorithms to leverage its utility in a variety of fields such as medicine, energy, travel, education, banking, and business management. Although a growing body of literature is shedding light on artificial intelligence-enabled difficulties, there is still much to be gained by applying fresh theory-driven techniques to this vital topic. Revolutionizing Business Practices Through Artificial Intelligence and Data-Rich Environments provides a comprehensive understanding of the business systems, platforms, procedures, and mechanisms that underpin different stakeholders' experiences with reality-enhancing technologies and their transformative application in management. The book also identifies areas in various business processes where artificial intelligence intervention would not only transform the business but would also make the business more sustainable. Covering key topics such as blockchain, business automation, and manufacturing, this reference work is ideal for computer scientists, business owners, managers, industry professionals, researchers, academicians, scholars, practitioners, instructors, and students.

Business Statistics narrows the gap between theory and practice by focusing on relevant statistical methods, thus empowering business students to make good, data-driven decisions. Using the latest GAISE (Guidelines for Assessment and Instruction in Statistics Education) report, which included extensive revisions to reflect both the evolution of technology and new wisdom on statistics education, this edition brings a modern edge to teaching business statistics. This includes a focus on the report's key recommendations: teaching statistical thinking, focusing on conceptual understanding, integrating real data with a context and a purpose, fostering active learning, using technology to explore concepts and analyse data, and using assessments to improve and evaluate student learning. By presenting statistics in the context of real-world businesses and by emphasising analysis and understanding over computation, this book helps students be more analytical, prepares them to make better business decisions, and shows them how to effectively communicate results. Samples Preview the detailed table of contents Download a sample chapter from Business Statistics, Global Edition, 4th Edition

For courses in business mathematics, personal finance, or small business management. Business Math Brief, Tenth Edition unlocks the world of math by showing how it is used in the business world. Written in a conversational style, the book covers essential topics such as banking, interest, insurance, taxes, depreciation, and inventory. It carefully explains common business practices such as markup, markdown, and cash discounts-showing students how these tools work in small business or personal finance. Authors encourage self-starters from the beginning, with the review of basic math, annotated examples, stop and check exercises, skill builders and application exercises. This edition includes updated problem sets, new trends and laws, and the one-of-a-kind MyMathLab website.

For courses in decision support systems, computerised decision-making tools, and management support systems. Market-leading guide to modern analytics, for better business decisions Analytics, Data Science, & Artificial Intelligence: Systems for Decision Support is the most comprehensive introduction to technologies collectively called analytics (or business analytics) and the fundamental methods, techniques, and software used to design and develop these systems. Students gain inspiration from examples of organisations that have employed analytics to make decisions. With six new chapters, the 11th edition marks a major reorganisation reflecting a new focus - analytics and its enabling technologies, including AI, machine-learning, robotics, chatbots, and IoT.

For undergraduate Introductory Management Information Systems courses. Help students understand the ways information systems are transforming business As technology continues to change the way organisations do business, knowledge of MIS is critical. Experiencing MIS illustrates how organisations use information systems to solve business problems every day. This modular text uses illustrative cases, exercises, projects, and other aids to ensure students connect concepts to everyday life by making MIS interesting and relevant to them. Changes and highlights in the 8th Edition keep pace with the fast-moving world of MIS and keep students up to date and knowledgeable on how to apply emerging technologies to better achieve their organisation's strategies. Unique and updated guides within each chapter highlight themes in ethics, security, MIS careers, and other timely topics.

The success of any organization is largely dependent on positive feedback and repeat business from patrons. By utilizing acquired marketing data, business professionals can more accurately assess practices, services, and products that their customers find appealing. The Handbook of Research on Intelligent Techniques and Modeling Applications in Marketing Analytics features innovative research and implementation practices of analytics in marketing research. Highlighting various techniques in acquiring and deciphering marketing data, this publication is a pivotal reference for professionals, managers, market researchers, and practitioners interested in the observation and utilization of data on marketing trends to promote positive business practices.

Current social, economic, and environmental challenges presented by the United Nations' Sustainable Development Goals may be partially attained by digitalization and sustainable practices diffusion. The antecedents, occurrences, and consequences of this process are currently under investigation, but the big challenge is to get a systemic view. This book attempts to bring such a view into focus. Digital and Sustainable Transformations in a Post-COVID World is dedicated to studying the consequences of the global crisis caused by the COVID-19 pandemic and the new needs and practices inherent in developing and disseminating digital and clean technologies.

For any organization, analysis of performance and effectiveness through available data allows for informed decision making. Data envelopment analysis, or DEA, is a popular, effective method that can be used to measure productive efficiency in operations management assessment. Data Envelopment Analysis and Effective Performance Assessment addresses the myriad of practical uses and innovative developments of DEA. Emphasizing the importance of analyzing productivity by measuring inputs, goals, economic growth, and performance, this book covers a wide breadth of innovative knowledge. This book is essential reading for managers, business professionals, students of business and ICT, and computer engineers.

Success in today's sophisticated financial markets depends on a firm understanding of key financial concepts and mathematical techniques. "Mastering Financial Calculations" explains them in a clear, comprehensive way -- so even if your mathematical background is limited, you'll thoroughly grasp what you need to know.

"Mastering Financial Calculations" starts by introducing the fundamentals of financial market arithmetic, including the core concepts of discounting, net present value, effective yields, and cash flow analysis. Next, walk step-by-step through the essential calculations and financial techniques behind money markets and futures, zero-coupon analysis, interest rate and currency swaps, bonds, foreign exchange, options, and more. Making use of many worked examples and practical exercises, the book explains challenging concepts such as forward pricing, duration analysis, swap valuation, and option pricing - all with exceptional clarity.

Whether you are a trader, fund manager, corporate treasurer, programmer, accountant, risk manager, or market student, you'll gain the ability to manipulate and apply these techniques with speed and confidence.

We are living in interesting times characterized by increasing digitalization of business enterprises in a global interconnected knowledge economy. With waning euphoria about the first wave of digital e-business enterprises and a sobering dot-com stock market, business model innovation is being recognized as the key enabler that can unleash value creation for new digital enterprises. In contrast to traditional factors of production, knowledge assets and intellectual capital are expected to play a dominant role in determining both valuation and value-creation capabilities of most new age enterprises. Not surprisingly, Knowledge Management for Business Model Innovation is anticipated to be the mantra for survival, competence and success of Net enterprises as well as traditional brick-and-mortar enterprises faced with the challenge of transforming their business models into and beyond click-and-mortar companies.

Information modeling plays an important role in every level of the enterprise information system's architecture. Modeling allows organizations to adapt and become more efficient, helping top managers and engineers outline tactics to reach strategic objectives, understand organizational needs, and design information systems that are aligned with business goals. New Perspectives on Information Systems Modeling and Design is an essential reference source that discusses organizational adaptation through the integration of new information technologies into existing processes and underlying supporting applications. Featuring research on topics such as application integration, change management, and mobile process activities, this book is ideally designed for managers, researchers, system developers, entrepreneurs, graduate-level students, business professionals, information system engineers, and academicians seeking coverage on emerging technological developments and practical solutions for system modeling and design.

Operations management is a tool by which companies can effectively meet customers' needs using the least amount of resources necessary. With the emergence of sensors and smart metering, big data is becoming an intrinsic part of modern operations management. Applied Big Data Analytics in Operations Management enumerates the challenges and creative solutions and tools to apply when using big data in operations management. Outlining revolutionary concepts and applications that help businesses predict customer behavior along with applications of artificial neural networks, predictive analytics, and opinion mining on business management, this comprehensive publication is ideal for IT professionals, software engineers, business professionals, managers, and students of management.

Continuous improvements in digitized practices have created opportunities for businesses to develop more streamlined processes. This not only leads to higher success in day-to-day production, but it increases the overall success of businesses. Enterprise Information Systems and the Digitalization of Business Functions is a key resource on the latest advances and research for a digital agenda in the business world. Highlighting multidisciplinary studies on data modeling, information systems, and customer relationship management, this publication is an ideal reference source for professionals, researchers, managers, consultants, and university students interested in emerging developments for business process management.

Appropriate for one or two term courses in introductory Business Statistics. With Statistics for Management, Levin and Rubin have provided a non-intimidating business statistics textbook that students can easily read and understand. Like its predecessors, the Seventh Edition includes the absolute minimum of mathematical/statistical notation necessary to teach the material. Concepts are fully explained in simple, easy-to-understand language as they are presented, making the text an excellent source from which to learn and teach. After each discussion, readers are guided through real-world examples to show how textbook principles work in professional practice.

Leadership and the traditional concept of what makes an effective leader is being challenged in the 21st century. Today, many teams are dispersed across time, geography, and cultures and coordinating those team using traditional concepts of leadership and management has been challenging. Strategic Management and Leadership for Systems Development in Virtual Spaces provides insights into the relationship between leadership and information systems development within online environments as well as strategies for effectively managing virtual teams. Focusing on opportunities as well as challenges associated with e-collaboration and managing remote workers, this peer-reviewed collection of research is designed for use by business professionals, scholars, and researchers in the fields of information science and technology, business and management, sociology, and computer science.

The ultimate textbook in Business Information Systems for future Managers Business Information Systems: Technology, Development and Management for the Modern Business, 6th Edition by Bocij, Greasley, and Hickie is a leading text that will help you understand the relevance and impact of information systems in today's business environment. Written in a language that is easy to follow, this text does not assume any prior knowledge of IS or ICT and is ideal for students attending courses related to Business Information Systems and Management Information Systems at an Undergraduate or Postgraduate level. Starting from basic concepts this book provides a comprehensive and accessible guide to: understanding the technology of Business Information Systems choosing the right Information System for an organisation developing and managing an efficient Business Information System employing information systems strategically to achieve organisational goals Taking a problem-solving approach, this thoroughly revised edition defines new concepts and studies the theory of information systems according to the most recent business and technological advances, covering contemporary key topics such as: Big Data Analytics Cloud Computing Industry 4.0 Internet of Things With new business examples, case studies, and web links fully integrated throughout, this must-have guide will provide you with all the tools you need to understand the opportunities and benefits Information Systems bring to an organisation and successfully run a business.

Fuzzy cognitive maps (FCMs) have gained popularity in the scientific community due to their capabilities in modeling and decision making for complex problems.This book presents a novel algorithm called glassoFCM to enable automatic learning of FCM models from data. Specifically, glassoFCM is a combination of two methods, glasso (a technique originated from machine learning) for data modeling and FCM simulation for decision making. The book outlines that glassoFCM elaborates simple, accurate, and more stable models that are easy to interpret and offer meaningful decisions. The research results presented are based on an investigation related to a real-world business intelligence problem to evaluate characteristics that influence employee work readiness.Finally, this book provides readers with a step-by-step guide of the 'fcm' package to execute and visualize their policies and decisions through the FCM simulation process.

This book encompasses a systematic exploration of Cybersecurity Data Science (CSDS) as an emerging profession, focusing on current versus idealized practice. This book also analyzes challenges facing the emerging CSDS profession, diagnoses key gaps, and prescribes treatments to facilitate advancement. Grounded in the management of information systems (MIS) discipline, insights derive from literature analysis and interviews with 50 global CSDS practitioners. CSDS as a diagnostic process grounded in the scientific method is emphasized throughout Cybersecurity Data Science (CSDS) is a rapidly evolving discipline which applies data science methods to cybersecurity challenges. CSDS reflects the rising interest in applying data-focused statistical, analytical, and machine learning-driven methods to address growing security gaps. This book offers a systematic assessment of the developing domain. Advocacy is provided to strengthen professional rigor and best practices in the emerging CSDS profession. This book will be of interest to a range of professionals associated with cybersecurity and data science, spanning practitioner, commercial, public sector, and academic domains. Best practices framed will be of interest to CSDS practitioners, security professionals, risk management stewards, and institutional stakeholders. Organizational and industry perspectives will be of interest to cybersecurity analysts, managers, planners, strategists, and regulators. Research professionals and academics are presented with a systematic analysis of the CSDS field, including an overview of the state of the art, a structured evaluation of key challenges, recommended best practices, and an extensive bibliography.

Business models are regarded as a main emerging topic in the management area for opportune science-driven practical conceptions and applications. They represent how organizations are proposed and planned, as well as how they establish a market and social relations, manage strategic resources, and make decisions. However, companies must produce new solutions for strategic sustainability, performance measurement, and overall managerial conditions for these business models to be implemented effectively. The Handbook of Research on Business Models in Modern Competitive Scenarios depicts how business models contribute to strategic competition in this new era of technological and social changes as well as how they are conceptualized, studied, designed, implemented, and in the end, how they can be improved. Featuring research on topics such as creating shared value, global scenarios, and organizational intelligence, this book provides pivotal information for scientific researchers, business decision makers, strategic planners, consultants, managers, and academicians.

While good data is an enterprise asset, bad data is an enterprise liability. Data governance enables you to effectively and proactively manage data assets throughout the enterprise by providing guidance in the form of policies, standards, processes and rules and defining roles and responsibilities outlining who will do what, with respect to data. While implementing data governance is not rocket science, it is not a simple exercise. There is a lot confusion around what data governance is, and a lot of challenges in the implementation of data governance. Data governance is not a project or a one-off exercise but a journey that involves a significant amount of effort, time and investment and cultural change and a number of factors to take into consideration to achieve and sustain data governance success. Data Governance Success: Growing and Sustaining Data Governance is the third and final book in the Data Governance series and discusses the following: * Data governance perceptions and challenges * Key considerations when implementing data governance to achieve and sustain success* Strategy and data governance* Different data governance maturity frameworks* Data governance - people and process elements* Data governance metrics This book shares the combined knowledge related to data and data governance that the author has gained over the years of working in different industrial and research programs and projects associated with data, processes, and technologies and unique perspectives of Thought Leaders and Data Experts through Interviews conducted. This book will be highly beneficial for IT students, academicians, information management and business professionals and researchers to enhance their knowledge to support and succeed in data governance implementations. This book is technology agnostic and contains a balance of concepts and examples and illustrations making it easy for the readers to understand and relate to their own specific data projects.

In the past, practical applications motivated the development of mathematical theories, which then became the subject of study in pure mathematics where abstract concepts are studied for their own sake. The activity of applied mathematics is thus intimately connected with research in pure mathematics, which is also referred to as theoretical mathematics. Theoretical and Applied Mathematics in International Business is an essential research publication that explores the importance and implications of applied and theoretical mathematics within international business, including areas such as finance, general management, sales and marketing, and supply chain management. Highlighting topics such as data mining, global economics, and general management, this publication is ideal for scholars, specialists, managers, corporate professionals, researchers, and academicians.