This book describes a conceptual management system derived from the Business and Technology Relationship Model (BTRM). The BTRM describes the relationship between business and technology and provides simple definitions for service quality, alignment, agility, and governance. It explains our problems with traditional methods, democratizes the management and governance of enterprise technologies, and is suitable for introducing process automation. This book describes in detail how the BTRM, combined with a focus on value creation and value delivery, will enable continuous change, in the context of current, emerging and future technologies. It illustrates the potential for real-time insight and control not previously considered and provides a wide range of information to plan an implementation, understand where AI can be applied, and its importance in the world of self-managing systems. The topic of this book is particularly relevant for business managers, business technology managers and technology service providers.

Artificial intelligence (AI) and platforms are closely related. Most investments in AI, especially in critical technologies, are provided by large platforms. This book describes how platforms invest in AI and how AI will impact the next generation of competences, following a twofold approach to do so: on the one hand, the book seeks to understand how platforms for investment in intangibles and AI are organized, but on the other hand, it provides a framework to describe how AI will change jobs and competences in the future. Moreover, the book addresses five main themes: 1. platforms, platformization, and the foundations of their business models; 2. artificial intelligence, technological tendencies, and the policy agenda; 3. artificial intelligence, productivity, and the next generation of competences; 4. artificial intelligence, productivity, and the digital divide; 5. artificial intelligence, ethics, and the post-truth society. The book's content is mostly based on papers presented at the last two installments of the World Conference on Intellectual Capital for Communities. It brings together the views of leading scholars and experts on how artificial intelligence and platformization will impact competences in the near future.

This book systematically reviews the development process of the world Internet and comprehensively reveals the great contributions of the Internet to economic development and social progress. The world today is marked by changes unseen in a century, and Internet development is facing new opportunities and challenges. In 2020, the COVID-19 epidemic broke out and spread at the global scale, which enormously impacted the global economy and society. Internet played an increasingly important role. Meanwhile, based on the development status of the global Internet, this book fully reflects the development process, status and trend of the world Internet in 2020, systematically summarizes the development status and highlights of the Internet in the major countries around the world, and makes an in-depth analysis of the new conditions, new dynamics and new trends of the development in the key Internet fields; the contents cover the information infrastructure, information technology, digital economy, digital government, internet media, network security, and international cyberspace governance, and other aspects. Moreover, this book further adjusts and enriches the development index systems of the world Internet, in the hope of better showing the development strength and development advantages of the Internet in various countries, and reflecting the overall development trend of the world Internet more comprehensively, accurately and objectively. From an objective perspective, this book collects the latest research results in the global internet field, featuring comprehensive contents and highlights; from a historical perspective, this book reviews the significant development process of the global internet, summarizes the experience and faces the future; from a global perspective, this book tries to construct the cyberspace community with a common future based on the new concepts, new ideas and new achievements of various countries in participating in cyberspace development and construction. This book provides an important reference value for employees in Internet fields, such as government departments, Internet enterprises, scientific research institutions, colleges and universities, to fully understand and master the development of the world internet.

The Easy Introduction to Machine Learning (Ml) for Nontechnical People--In Business and Beyond Artificial Intelligence for Business is your plain-English guide to Artificial Intelligence (AI) and Machine Learning (ML): how they work, what they can and cannot do, and how to start profiting from them. Writing for nontechnical executives and professionals, Doug Rose demystifies AI/ML technology with intuitive analogies and explanations honed through years of teaching and consulting. Rose explains everything from early "expert systems" to advanced deep learning networks. First, Rose explains how AI and ML emerged, exploring pivotal early ideas that continue to influence the field. Next, he deepens your understanding of key ML concepts, showing how machines can create strategies and learn from mistakes. Then, Rose introduces current powerful neural networks: systems inspired by the structure and function of the human brain. He concludes by introducing leading AI applications, from automated customer interactions to event prediction. Throughout, Rose stays focused on business: applying these technologies to leverage new opportunities and solve real problems. Compare the ways a machine can learn, and explore current leading ML algorithms Start with the right problems, and avoid common AI/ML project mistakes Use neural networks to automate decision-making and identify unexpected patterns Help neural networks learn more quickly and effectively Harness AI chatbots, virtual assistants, virtual agents, and conversational AI applications

Politics, gut reactions, leaps of faith, and assumptions will never drive a successful business. With barriers to start a company being lowered every day, the rapid influx of new startups throughout every industry, and the constant chaos from within existing organizations, logic and sound decision making are commonly replaced with swift moving actions with only the short-term in mind. Decision makers are constantly moving to make businesses simpler, more fluid, more agile, and better. In this disaster of chaos one simple concept is easily left behind: thought. More specifically, what gets left behind is forethought. In The Scalability Coefficient, software expert and entrepreneur Trevor Hall outlines a new method of analyzing your business so you can accommodate the steady pace of modern business, while pushing your organization to success with complete, thoughtful decisions based off facts. Through the design of this engineering-centric method of business analysis, Trevor will describe the method of dissecting and organizing your business into its most atomic pieces and how to logically rebuild your thoughts as a holistic unit. By creating an organization's "Scalability Coefficient," you will have a new tool based directly off the facts that shape your company. And with that tool, you can make swift decisions to gain the highest level of efficiency both for the short-term while always considering the long-term visions and goals. Following an example of a fictitious business through the analysis, The Scalability Coefficient will describe the concepts through practical application which you can then apply to any company, team, or project. It demonstrates the complexities of a seemingly simple company by disassembling it into logical pieces, them piecing it back together with logic and thought, forming its custom "Scalability Coefficient" along the way. The end takeaway being the Coefficient, which acts as a fact-driven formula for driving critical business decisions.

ITIL(R) 4 Direct, Plan and ImproveIf you've achieved your ITIL(R) 4 Foundation certificate, you're probably planning the next stage in your ITIL journey and which qualification to work towards. DPI provides essential knowledge and capabilities for service management professionals, supporting those involved in directing or planning based on strategy and continual improvement - a must-have skillset practitioners should seek beyond Foundation level. DPI is the only one of the ITIL 4 advanced level courses that leads to both Managing Professional (MP) and Strategic Leader (SL) status. The module is aimed at managers and aspiring managers at all levels, providing them with the practical skills needed to improve themselves and their organisation by way of effective strategic direction and delivering continual improvement. An excellent supplement to any training courseITIL(R) 4 Direct, Plan and Improve (DPI) - Your companion to the ITIL 4 Managing Professional and Strategic Leader DPI certification is a study guide designed to help students pass the ITIL(R) 4 Direct, Plan and Improve module. The majority of this book is based on the AXELOS ITIL(R) 4: Direct, Plan and Improve publication and the associated DPI Strategist syllabus. It provides students with the information they need to pass the DPI exam, and help them become a successful practitioner. Suitable for existing ITIL v3 experts, ITIL 4 Managing Professional (MP) students, ITSM (IT service management) practitioners who are adopting ITIL 4, approved training organisations, IT service managers, IT managers and those in IT support roles, the book covers: Key concepts: Scope, key principles and methods; The role of governance, risk and compliance; Continual improvement; Organisational change management; Measurement and reporting; Value streams and practices; and Exam preparation. A useful tool throughout your careerIn addition to being an essential study aid, the author - a seasoned ITSM professional - also provides additional guidance throughout the book which you can lean on once your training and exam are over. The book includes her own practical experience from which she gives advice and points to think about along the way so that you can refer back to this book for years to come - long after you've passed your exam. The essential link between your ITIL qualification and the real world - buy this book today!ITIL(R) is a registered trade mark of AXELOS Limited. All rights reserved. This book is an official AXELOS licensed product.

Give life to your designs and keep your CAD skills fresh with Mastering AutoCAD 2021 and Mastering AutoCAD LT 2021 AutoCAD continues to be the tool of choice for architects, project managers, engineers, city planners, and other design professionals, and when the industry experts need to learn the latest CAD techniques and trends, they turn to Mastering AutoCAD and AutoCAD LT. Packed with real-world examples, straightforward instructions, and downloadable project files, this edition of this bestselling AutoCAD reference has been fully updated for the latest features from the 2021 version of AutoCAD and AutoCAD LT. From getting familiar with the interface to preparing for Autodesk AutoCAD certification, Mastering AutoCAD 2021 and AutoCAD LT 2021 gives CAD professionals command of the software's core functions and complex capabilities. Develop AutoCAD drawings from concept to creation Use hatches, fields, and tables Work with dynamic blocks, attributes, drawing curves, and solid fills Apply 3D modeling and imaging techniques Customize your interface and configure template settings and styles Get ready for the Autodesk AutoCAD Certification exam Whether you're seeking on-the-job certification or just looking to dream big and draw, Mastering AutoCAD 2021 and AutoCAD LT 2021 is the ultimate guide to all things AutoCAD.

Your genius-level guide to Excel excellence Excel Portable Genius covers the key features of Microsoft Excel in a concise, fast-paced, portable format that provides the perfect quick and easy-to-follow reference for novices and experienced users alike. Written by seasoned tech expert and trainer Lisa A. Bucki, it answers the nine key questions Excel users are most likely to face in their work and adds some hot tips and advice on this incredibly useful--but sometimes difficult-to-learn--program's lesser-known features. Build formulas to perform powerful calculations Format data to make it easy to find interpret and to highlight key results Sort and filter to organize or display specific information Chart data to pinpoint changes and identify trends Communicate results by printing and sharing Complete with a comprehensive index and extensive illustrations complementing straightforward instructions, this is the ideal guide to mastery of the world's most popular spreadsheet program.

The spread of the Internet into all areas of business activities has put a particular focus on business models. The digitalization of business processes is the driver of changes in company strategies and management practices alike. This textbook provides a structured and conceptual approach, allowing students and other readers to understand the commonalities and specifics of the respective business models. The book begins with an overview of the business model concept in general by presenting the development of business models, analyzing definitions of business models and discussing the significance of the success of business model management. In turn, Chapter 2 offers insights into and explanations of the business model concept and provides the underlying approaches and ideas behind business models. Building on these foundations, Chapter 3 outlines the fundamental aspects of the digital economy. In the following chapters the book examines various core models in the business to consumer (B2C) context. The chapters follow a 4-C approach that divides the digital B2C businesses into models focusing on content, commerce, context and connection. Each chapter describes one of the four models and provides information on the respective business model types, the value chain, core assets and competencies as well as a case study. Based on the example of Google, Chapter 8 merges these approaches and describes the development of a hybrid digital business model. Chapter 9 is dedicated to business-to-business (B2B) digital business models. It shows how companies focus on business solutions such as online provision of sourcing, sales, supportive collaboration and broker services. Chapter 10 shares insight into the innovation aspect of digital business models, presenting structures and processes of digital business model innovation. The book is rounded out by a comprehensive case study on Google/Alphabet that combines all aspects of digital business models. Conceived as a textbook for students in advanced undergraduate courses, the book will also be useful for professionals and practitioners involved in business model innovation, and applied researchers.

This handbook collects the most up-to-date scholarship, knowledge, and new developments of big data and data analytics by bringing together many strands of contextual and disciplinary research. In recent times, while there has been considerable research in exploring the role of big data, data analytics, and textual analytics in accounting, and auditing, we still lack evidence on what kinds of best practices academics, practitioners, and organizations can implement and use. To achieve this aim, the handbook focuses on both conventional and contemporary issues facing by academics, practitioners, and organizations particularly when technology and business environments are changing faster than ever. All the chapters in this handbook provide both retrospective and contemporary views and commentaries by leading and knowledgeable scholars in the field, who offer unique insights on the changing role of accounting and auditing in today's data and analytics driven environment. Aimed at academics, practitioners, students, and consultants in the areas of accounting, auditing, and other business disciplines, the handbook provides high-level insight into the design, implementation, and working of big data and data analytics practices for all types of organizations worldwide. The leading scholars in the field provide critical evaluations and guidance on big data and data analytics by illustrating issues related to various sectors such as public, private, not-for-profit, and social enterprises. The handbook's content will be highly desirable and accessible to accounting and non-accounting audiences across the globe.

This book systematically and integrally introduces the new security management theories and methods in the e-commerce environment. Based on the perspective of dynamic governance of the whole process, starting from the theoretical framework, this book analyzes the gap between the current situation and requirements of security management, defines its nature, function, object and system, and designs and constructs the whole process security management organization and operation system of e-commerce. It focuses on the core and most prominent risk control links (i.e. security impact factors) in e-commerce security, including e-commerce information and network security risk, e-commerce transaction risk, e-commerce credit risk, e-commerce personnel risk, etc. Then, the tools and methods for identifying and controlling various risks are described in detail, at the same time, management decision-making and coordination are integrated into the risk management. Finally, a closed loop of self-optimization is established by a continuous optimization evolution path of e-commerce security management.

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.

Virtual team leadership and collaborative engineering bring teams, product engineering, and processes into the 21st century through the use of e-collaboration technologies. These powerful tools accomplish work efficiently and effectively, whether communication takes place only through e-collaboration technologies or in combination with face-to-face interaction. ""Virtual Team Leadership and Collaborative Engineering Advancements: Contemporary Issues and Implications"" addresses a range of e-collaboration topics, with emphasis on two particularly challenging ones: virtual team leadership and collaborative engineering. With contributing authors among the most accomplished e-collaboration, virtual team leadership, and collaborative engineering researchers in the world today, this book presents a blend of conceptual, theoretical, and applied chapters creating a publication that will serve both academics and practitioners.

This book introduces the fundamentals of research methods and how they apply to the discipline of urban and regional planning. Written at a level appropriate for upper-level undergraduate and beginning master's level students, the text fills a gap in the literature for textbooks on urban planning. Additionally, the book can be used as a reference for planning practitioners and researchers when analyzing quantitative and qualitative data in urban and regional planning and related fields. The volume does not assume advanced knowledge of mathematical formulas. Rather, it begins with the essentials of research methods, such as the identification of the research problems in planning, the literature review, data collection and presentation, descriptive data analysis, and report of findings. Its discipline-specific topics include field research methods, qualitative data analysis, economic and demographic analysis, evaluation research, and methods in sub-disciplines such as land use planning, transportation planning, environmental planning, and housing analysis. Designed with instruction in mind, this book features downloadable materials, including learning outcomes, chapter highlights, chapter review questions, datasets, and certain Excel models. Students will be able to download review questions to enhance the learning process and datasets to practice methods.

O'Brien's Introduction to Information Systems 16e reflects the contemporary use of enterprise-wide business systems. New real-world case studies continue to correspond with this industry reality. The text's focus is on teaching the future manager the potential effect on business of the most current IT technologies such as the Internet, Intranets, and Extranets for enterprise collaboration, and how IT contributes to competitive advantage, reengineering business processes, problem solving, and decision-making. The benchmark text for the syllabus organized by technology (a week on databases, a week on networks, a week on systems development, etc.) taught from a managerial perspective. O'Brien defines technology and then explains how companies use the technology to improve performance. Real world cases finalize the explanation.

Professional data management is the foundation for the successful digital transformation of traditional companies. Unfortunately, many companies fail to implement data governance because they do not fully understand the complexity of the challenge (organizational structure, employee empowerment, change management, etc.) and therefore do not include all aspects in the planning and implementation of their data governance. This book explains the driving role that a responsive data organization can play in a company's digital transformation. Using proven process models, the book takes readers from the basics, through planning and implementation, to regular operations and measuring the success of data governance. All the important decision points are highlighted, and the advantages and disadvantages are discussed in order to identify digitization potential, implement it in the company, and develop customized data governance. The book will serve as a useful guide for interested newcomers as well as for experienced managers.

This book provides retail managers with a practical guide to using data. It covers three topics that are key areas of innovation for retailers: Algorithmic Marketing, Logistics, and Pricing. Use cases from these areas are presented and discussed in a conceptual and comprehensive manner. Retail managers will learn how data analysis can be used to optimize pricing, customer loyalty and logistics without complex algorithms. The goal of the book is to help managers ask the right questions during a project, which will put them on the path to making the right decisions. It is thus aimed at practitioners who want to use advanced techniques to optimize their retail organization.

Get a firm grip on one of the most popular project management applications on the market today In Microsoft Project Fundamentals: Microsoft Project Standard 2021, Professional 2021, and Project Online Editions, accomplished project management leader Teresa Stover delivers a hands-on introduction to Microsoft's popular project management software filled with real-world examples and plain-language guidance. The book walks you through how to plan, schedule, manage resources, track progress, and more. In the book, you'll: Learn principles and best practices of project management while mastering Microsoft Project capabilities, calculations, and views Understand how task durations, dependencies, and date constraints power the project schedule Manage human, equipment, and material resources, including availability, cost, and task assignments Adjust the project to optimize for the project finish date, budget, and resource allocation Use Microsoft Project to manage waterfall or agile projects Ideal for anyone seeking to unlock the potential of Microsoft's leading project management software for their own project work, Microsoft Project Fundamentals is an essential resource for those new to Microsoft Project and project management, as well as previous users and seasoned project professionals looking for a refresher in the latest features of the newest version of Microsoft Project.

The two-volume set IFIP AICT 591 and 592 constitutes the refereed proceedings of the International IFIP WG 5.7 Conference on Advances in Production Management Systems, APMS 2020, held in Novi Sad, Serbia, in August/September 2020. The 164 papers presented were carefully reviewed and selected from 199 submissions. They discuss globally pressing issues in smart manufacturing, operations management, supply chain management, and Industry 4.0. The papers are organized in the following topical sections: Part I: advanced modelling, simulation and data analytics in production and supply networks; advanced, digital and smart manufacturing; digital and virtual quality management systems; cloud-manufacturing; cyber-physical production systems and digital twins; IIOT interoperability; supply chain planning and optimization; digital and smart supply chain management; intelligent logistics networks management; artificial intelligence and blockchain technologies in logistics and DSN; novel production planning and control approaches; machine learning and artificial intelligence; connected, smart factories of the future; manufacturing systems engineering: agile, flexible, reconfigurable; digital assistance systems: augmented reality and virtual reality; circular products design and engineering; circular, green, sustainable manufacturing; environmental and social lifecycle assessments; socio-cultural aspects in production systems; data-driven manufacturing and services operations management; product-service systems in DSN; and collaborative design and engineering Part II: the Operator 4.0: new physical and cognitive evolutionary paths; digital transformation approaches in production management; digital transformation for more sustainable supply chains; data-driven applications in smart manufacturing and logistics systems; data-driven services: characteristics, trends and applications; the future of lean thinking and practice; digital lean manufacturing and its emerging practices; new reconfigurable, flexible or agile production systems in the era of industry 4.0; operations management in engineer-to-order manufacturing; production management in food supply chains; gastronomic service system design; product and asset life cycle management in the circular economy; and production ramp-up strategies for product

The COVID-19 pandemic affected a wide range of global sectors, but one of the most important is education. The transition from classroom to computer screen was a difficult one for many Asian students, parents, and teachers. Since this transition, global education systems now mostly depend on online technology. It is crucial that the impact of the pandemic on education is not only examined from a Western point of view, but also from Eastern perspectives. The Handbook of Research on Asian Perspectives of the Educational Impact of COVID-19 provides the current issues the education sector is facing in the aftermath of the COVID-19 pandemic. This book investigates the issues and challenges the education sector is facing as well as the future directions needed to provide education in a more effective way. Covering topics such as academic perspectives, university-level employees, and leadership challenges, this book is a dynamic resource for students, teachers, pre-service teachers, school administrators, education providers, faculty, researchers, policymakers, and academicians.

Each year hundreds of new drugs are approved for the marketplace. The approval of a single new drug is the result of years of screening tens of thousands of compounds, performing pre-clinical research on their effects, and designing, implementing, and analyzing the results of clinical trials. This book provides a general guide to statistical methods used in the pharmaceutical industry, and is aimed at graduate students and researchers who want to know more about statistical applications in all phases of the drug development process. The 19 chapters authored by over 30 statisticians working in the industry follow the general sequence of drug development, from pre-clinical research and saftey assessment to dose finding, safety studies, large clinical trials, analysis of health economic data, and fianlly manufacturing and production. Special topics such as single patient analysis and the impact of patient compliance show the broad spectrum of applications of data analysis methods. Each chapter illustrates a practical problem using data from actual studies by describing the study, the data, the methods, and the results. All of the analyses are done with S-PLUS, and the data and code are provided both in appendices to the chapters and on the companion Springer-Verlag web site, making it possible to reproduce the results and extend the analyses. Prior knowledge of the software is not required to follow the analyses. Steven P. Millard is a statistical consultant and also Manager of Consulting Services for MathSoft, Inc. (Data Analysis Products Division.) He has applied statistical methods to projects ranging from quality control in bioassay to measuring water quality to automating home appraisal, and has taught courses in S-PLUS for over 10 years. He is the author of the book Environmental Statistics with S-PLUS (CRC Press) as well as the S-PLUS add-in module ENVIRONMENTALSTATS for S-PLUS. Andreas Krause is a statistical consultant in the pharmaceutical industry and works for Novartis Pharma AG. He has extensive experience in graphical and numerical data analysis as well as programming, has taught numerous classes with and on S-PLUS, and is an S_PLUS user from the early days on. He is also author of the book The Basics of S and S-PLUS (Springer).