Much of our life is consumed looking for quantitative relationships. For example, How much more sleep do I need at night to make me feel better? How many calories do I need to eliminate to lose weight? How much larger does my budget on the job need to be for me to be more effective? All these quantitative questions are preceded, and depend on, qualitative questions. For example, before I decide how much extra sleep I need at night, I need to determine if extra sleep will actually make me feel better. In another example, I need to determine if a larger budget will make me more effective on the job, before I think about how much more money I will need. What elements influence job performance, and how do they interact? We spend much of our life trying to find answers to such quantitative and qualitative questions. We are, then, in search of a kind of intelligence that includes numbers but is also above and beyond them. We call it "supernumerary" intelligence (SI). To aid our quest for SI, we use Quantitative CyberQuest (QCQ) and the Public Administration Genome Project (PAGP) as useful tools. QCQ is a philosophy as well as an analytic tool that helps in exploring the supernumerary. QCQ is particularly wellsuited for sorting out variables as well as their interrelations. It involves a combination of statistics, systems analysis, research methodology, qualitative research, and artificial intelligence. QCQ also provides a relatively easy to understand but still powerful set of tools and guidancemechanisms to pilot (the "Cyber" part) users in their "Quest" for supernumerary relationships.

First Published in 2005. Routledge is an imprint of Taylor & Francis, an informa company.

For decades, outsourcing has been a major international phenomenon in business. The areas of Technology, Information Technology and Management represent a unique case for outsourcing both in terms of benefits and potential interorganisational problems. This fully updated text has been brought up to date with this new landscape, including discussion of Robotic Process Automation, Internet of Things, cloud computing, low code and DevOps and agile. With a range of new global case studies in manufacturing, logistics, chemical industry and cloud services, this textbook offers a strong grounding in real-world industrial experience that effectively combines theory with practice. Uniquely, this book focuses on both sides of the outsourcing relationship, providing a balanced exploration of the ways in which these partnerships can be managed successfully. Accessible and cutting-edge, the third edition of Managing Information Technology Outsourcing provides an in-depth, practical perspective on this important and far-reaching challenge in information technology management. It is an ideal text for students, academics and practitioners alike.

Organizations can make data science a repeatable, predictable tool, which business professionals use to get more value from their data Enterprise data and AI projects are often scattershot, underbaked, siloed, and not adaptable to predictable business changes. As a result, the vast majority fail. These expensive quagmires can be avoided, and this book explains precisely how. Data science is emerging as a hands-on tool for not just data scientists, but business professionals as well. Managers, directors, IT leaders, and analysts must expand their use of data science capabilities for the organization to stay competitive. Smarter Data Science helps them achieve their enterprise-grade data projects and AI goals. It serves as a guide to building a robust and comprehensive information architecture program that enables sustainable and scalable AI deployments. When an organization manages its data effectively, its data science program becomes a fully scalable function that's both prescriptive and repeatable. With an understanding of data science principles, practitioners are also empowered to lead their organizations in establishing and deploying viable AI. They employ the tools of machine learning, deep learning, and AI to extract greater value from data for the benefit of the enterprise. By following a ladder framework that promotes prescriptive capabilities, organizations can make data science accessible to a range of team members, democratizing data science throughout the organization. Companies that collect, organize, and analyze data can move forward to additional data science achievements: Improving time-to-value with infused AI models for common use cases Optimizing knowledge work and business processes Utilizing AI-based business intelligence and data visualization Establishing a data topology to support general or highly specialized needs Successfully completing AI projects in a predictable manner Coordinating the use of AI from any compute node. From inner edges to outer edges: cloud, fog, and mist computing When they climb the ladder presented in this book, businesspeople and data scientists alike will be able to improve and foster repeatable capabilities. They will have the knowledge to maximize their AI and data assets for the benefit of their organizations.

This book starts with the basic premise that a service is comprised of the 3Ps-products, processes, and people. Moreover, these entities and their sub-entities interlink to support the services that end users require to run and support a business. This widens the scope of any availability design far beyond hardware and software. It also increases the potential for service failure for reasons beyond just hardware and software; the concept of logical outages. High Availability IT Services details the considerations for designing and running highly available "services" and not just the systems infrastructure that supports those services. Providing an overview of virtualization and cloud computing, it supplies a detailed look at availability, redundancy, fault tolerance, and security. It also stresses the importance of human factors. The book starts off by providing an availability primer and detailing the reasons why you need to be concerned with high availability. Next, it outlines the theory of reliability and availability and the elements of actual practices in this high availability (HA) area, including Service Level Agreements (SLAs) and Change Management. Examining what the major hardware and software vendors have to offer in the HA world, the book considers the ubiquitous world of clouds and virtualization as well as the availability considerations they present. The book examines high availability concepts and architectures such as reliability, availability, and serviceability (RAS); clusters; grids; and redundant arrays of independent disks (RAID) storage. It also covers the role of security in providing high availability, cluster offerings, emergent Linux clusters, online transaction processing (OLTP), and relational databases.

This volume presents a comprehensive analysis of microfinance initiatives in India. Through substantive field research and case studies ranging across the country, it examines Indian microfinance within its distinct socio-economic realities - the role of women, financial inclusion, rural entrepreneurship, and innovation - its interactions with multiple institutions, the challenges, as well as future directions.

Recent development experience points to the way business can be the key to a dynamic small business sector, especially where those links are built on high trust co-operative relations. This book reviews different types of small business network, illustrated by an international selection of case studies, including: * Chinese family business networks * ethinic minority business networks * Japanese and South Korean business group networks * Taiwan's subcontracting networks * European industrial districts Network promotion initiatives in Singapore, New Zealand, Scandinavia and the UK are each discussed to provide a comprehensive comparative assessment of small business networks.

Managing Organizational Complexities with Digital Enablement in China aims to provide insights into the use of information technologies in organizations and government agencies in China. Edited by Shan-Ling Pan with contributions from academics across the world, this casebook contains 17 case studies which document experiences of utilizing enterprise systems and e-government initiatives in organizations and government agencies from China. These case studies feature companies such as Alibaba, Haier, COFCO, JD.com, and Tencent, among many others.These in-depth, well-written case materials will be helpful to students and readers with an interest in China studies and other related fields. They will also be useful to organizations and government agencies that plan to implement enterprise systems and e-government initiatives in the years ahead.

Addressing the effect of big data analytics-capable information systems on organizational ambidexterity, this book investigates how these systems can be used to enhance organizational agility and flexibility, generally considered to be two key determinants of organizational ambidexterity. With a focus on the opportunities for businesses rather than the burden that big data can represent, the authors highlight the impact of big data on ambidextrous organizations and how current organizational structures can be modified in order to improve big data analytics and implement big data-capable information systems.

Does Information Technology matter? This book argues that even as Information Technology hardware, software, data and associated processes are becoming more of a commodity, it has never been more important to manage Information Technology as a strategic asset. However, managing Information Technology as a strategic asset is notoriously difficult, as is studying the impact of Information Technology on firm performance. This book sets out to identify, explain and critically evaluate current research in this area. A unique feature of this book is the use of economic theory to explain management theory and its consequences in professional practice. Beginning with a thorough introduction to Schumpeterian economic theory, the authors re-cast the pre-eminent theory in strategic management research (the Resource Based View) in the light of a Schumpeterian analysis and identify Dynamic Capabilities as an extension of, but also a radical departure from, RBV. The role of Information Technology as an endogenous technology is discussed and it is argued that how we define Information Technology determines not only how we study it but also how we use it and benefit from it. The book is aimed primarily at the academic research market, but should also be of some interest to managers. It is useful more specifically for all those studying business, Information Technology, strategy, management and innovation.

Electronic commerce, supply chain management, customer relationship management, and other forms of Business Networking will fundamentally change the way business will be conducted in the information age. We will see close collaboration between processes of different enterprises, and above all, new enterprises and new processes. Business Networking offers exceptional opportunities for fast innovators and harbors fundamental risks for slowpokes. Business Networking proposes a process-oriented model for Business Networking and the concept of networkability to develop realistic strategies for managing enterprise relationships in the Internet economy. It is written to serve academic and professional audiences and formulate key success factors and management guidelines. All ideas were developed in close cooperation of research and practice and are documented in numerous original case examples.

This book presents a general conceptual framework to translate principles of system science and engineering to service design. Services are co-created immaterial, heterogeneous, and perishable state changes. A service system includes the intended benefit to the customer and the structure and processes that accomplish this benefit. The primary focus is on the part of the service system that can reproduce such processes, called here a Service Machine, and methodological guidelines on how to analyze and design them. While the benefit and the process are designed based on the domain knowledge of each respective field, service production systems have common properties. The Service Machine is a metaphor that elicits the fundamental characteristics of service systems that do something efficiently, quickly, or repeatedly for a defined end. A machine is an artifact designed for a purpose, has several parts, such as inputs, energy flows, processors, connectors, and motors assembled as per design specifications. In case of service machine, the components are various contracts assembled on contractual frames. The book discusses Emergency Medical Services (EMS) and Emergency Departments (ED) as cases. They illustrate that service machines need to be structured to adapt to the constraints of the served market acknowledging the fact that services are co-created through the integration of producers' and customers' resources. This book is highly recommended for those who are interested in understanding the fundamental concepts of designing service machines.

This book presents the theory and practice of product lifecycle management, chiefly focusing on modern approaches suitable for digitalized enterprises. In addition to describing adaptive methods for advanced product creation using big data analytics, it presents economic and mathematical models for managing product lifecycles based on the application of recent methods (e.g. digital design and automated intelligent systems) to control pre-production and production processes. Given its scope, the book appeals to researchers, economic analysts and entrepreneurs alike.

Modern economies depend on innovation in services for their future growth. Service innovation increasingly depends on information technology and digitization of information processes. Designing new services is a complex matter, since collaboration with other companies and organizations is necessary. Service innovation is directly related to business models that support these services, i.e. services can only be successful in the long run with a viable business model that creates value for its customers and providers. This book presents a theoretically grounded yet practical approach to designing viable business models for electronic services, including mobile ones, i.e. the STOF model and - based on it - the STOF method. The STOF model provides a 'holistic' view on business models with four interrelated perspectives, i.e., Service, Technology, Organization and Finance. It elaborates on critical design issues that ultimately shape the business model and drive its viability.

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

Territorial Development and Action Research examines the role of action research within fields such as territorial development and innovation. Most researchers analyse these fields from the outside, developing a theoretical understanding of what should be done, but not of how to do it. Based on their own experience of territorial development processes from the inside out, James Karlsen and Miren Larrea argue that filling the gap regarding social relations in the innovation process makes it possible for researchers to engage in the processes taking place in the territory, thereby revealing how to make things work. This book will help researchers face the pressure to engage and play a useful role in the development of their host regions. It will help policy makers to continuously learn and redefine policy approaches and bring about collaboration through networks, programs and projects where researchers and practitioners in regional, local and urban development work together to construct territorial development. Readers will acquire a better understanding of micro-territorial development processes and the roles played by individuals and coalitions in endogenous development processes.

Why does the World Need-Excel Data Analysis, Modeling, and Simulation? When spreadsheets ?rst became widely available in the early 1980s, it spawned a revolution in teaching. What previously could only be done with arcane software and large scale computing was now available to the common-man, on a desktop. Also, before spreadsheets, most substantial analytical work was done outside the classroom where the tools were; spreadsheets and personal computers moved the work into the classroom. Not only did it change how the analysis curriculum was taught, but it also empowered students to venture out on their own to explore new ways to use the tools. I can't tell you how many phone calls, of?ce visits, and/or emails I have received in my teaching career from ecstatic students crowing about what they have just done with a spreadsheet model. I have been teaching courses related to spreadsheet based analysis and modeling for about 25 years and I have watched and participated in the spreadsheet revolution.

Every business area relies on an understanding of statistics to succeed. Statistics for Business and Economics by Carlos Cortinhas and Ken Black shows students that the proper application of statistics in the business world goes hand-in-hand with good decision making. Every statistical tool presented in this book has a business application set in a global context and the many learning features and easy to use structure will engage and reassure each business statistic student. Featuring a strong focus on European cases, data and scenarios throughout, Statistics for Business and Economics provides: *Decision Dilemma each chapter opens with a short case describing a real company or business situation, that raises questions to be answered using techniques presented in the chapter. Answers and explanations are given at the end of the chapter bringing closure. Each chapter uses different cases. *Ethical Considerations box underscores the potential misuse of statistics by discussing such topics as lying with statistics, failing to meet statistical assumptions, failing to include pertinent information, and other matters of principle. * Most cases, data and scenarios are based on real information students will recognise and relate to such as Caffe Nero, Nando s, Raleigh, online shopping, European Banks and more.

This book is aimed at aspiring entrepreneurs and practicing managers who want to create, identify, or articulate business models that will serve as the foundation for success for their businesses, as well as refine and even re-invent those models. It is based on the premise that the fundamental purpose of any business model is to create, deliver, and capture value. More specifically, business models describe the value proposition to the customer, the system that must be in place to create that value, and the logics needed to capture a reasonable share of that value for the firm. In addition, business models are viewed as boundary spanning entities that interact over time to transform industries. To explore and illustrate these ideas, business models are compared to maps, hypotheses, recipes, designs, stories, and agreements. Business examples will be used to anchor each chapter and perspective. The book will proceed as follows. First, the basic definition of a business model will be developed by drawing on and distilling key ideas from published research. It will be argued that the heart of the model is a value exchange agreement between the organization and the customer. To sustain this exchange, both parties must be able to extract their desired value, whether economic or social or both. Next, an illustrated business model framework will be provided and its components will be discussed. Third, a set of business model types will be explored and it will be shown how these models can interact to re-shape industries. As the book proceeds, the five ways of looking at business models will be explored with emphasis on the ways that adopting each perspective can stimulate entrepreneurs and managers to understand or create their business model, increase its performance potential, re-invent it, or develop a strategy to support it. The way that business models shape industry change will be explored from each perspective. Key considerations and questions to be asked by business leaders in formulating or assessing their business model will be provided.

For undergraduate Introductory Management Information Systems courses. Exploring how people use IS to solve business problems, this engaging introduction explains why MIS is the most important course in the business school-showing students how businesses use information systems and technology to accomplish their goals, objectives, and competitive strategy. Three unique Guides per chapter focus on the themes of ethics, security, and other timely topics; a number of illustrative cases, exercises, projects, and other aids ensure that students connect the knowledge in the text to everyday life.

The modern consumer is no longer attracted by single-minded, predictable and one-benefit-focused brand promises. The old-fashioned FMCG communication strategies based on television, radio and print with constant repetition have become outdated. From Great to Gone shows that what's needed are 'Lego' strategies, whereby the marketing and communication strategies are built up by many key facets (like building blocks) and delivered to the consumer through a mix of various touch points. Most importantly, you need to leave consumers to put all of that together themselves. There are major internal and external hurdles to transforming FMCGs successfully into FICGs - Fast Innovating Consumer Goods. It requires new brand strategies and flatter, more top-down than bottom-up, decision-making organisations and a 21st-century model for advertising agencies. Externally these companies need a new route to market through transformation of their old retail dependencies. Changes are also required in all communication delivery, reflecting modern consumers' connectivity and unlimited access to information. In the book the authors showcase what the winners of the 21st century have in common that has enabled them to become FICGs. New, unimagined models continue emerge, to which, with the authors' guidance producers and retailers may develop their own sustainable responses.

The concepts for Industry 4.0 and the Industrial Internet of Things (IIoT) will fundamentally change supply chains, production processes and industries. Intelligent technologies such as IoT, edge and cloud computing, big data, artificial intelligence and digital assistance systems are drivers of this change. This book provides a comprehensive overview of IoT use cases with illustrative practical examples of how digitization or innovation projects can be successfully implemented. It takes into consideration that processes are getting more flexible and efficient, and new digital technologies allow seamless, location-independent communication in near real time between things, processes and people through the digitization of physical objects and processes. Considering these changes, the book provides a guideline on how companies should position themselves for the future with industrial IoT in order to still play a decisive role in the industry in a few years' time. The book is aimed at both decision-makers and practitioners who, on the one hand, recognize the opportunities and possibilities for their company and, on the other hand, want to learn how to use the appropriate technologies. With this in mind it will be valuable for entrepreneurs, managers, architects and also developers in the field of Industry 4.0.

Many organizations critically depend on very large information systems. In the authors' experience these organizations often struggle to find the right strategy to sustainably develop their systems. Based on their own experience at a major bank, over more than a decade, the authors have developed a successful strategy to deal with these challenges, including: - A thorough analysis of the challenges associated with very large information systems - An assessment of possible strategies for the development of these systems, resulting in managed evolution as the preferred strategy - Describing key system aspects for the success of managed evolution, such as architecture management, integration architecture and infrastructure - Developing the necessary organizational, cultural, governance and controlling mechanisms for successful execution

This title provides managers, executives and other professionals with an innovative method for critical decision-making. The book explains the reasons for decision failures using the Law of Unintended Consequences. This account draws on the work of sociologist Robert K. Merton, psychologists Amos Tversky and Daniel Kahneman, and economist Herbert Simon to identify two primary causes : cognitive biases and bounded rationality. It introduces an innovative method for "test driving" decisions that addresses both causes by combining scenario planning and "what-if" simulations. This method enables professionals to learn safely from virtual mistakes rather than real ones. It also provides four sample test drives of realistic critical decisions as well as two instructional videos to illustrate this new method. This book provides leaders and their support teams with important new tools for analyzing and refining complex decisions that are critical to organizational well-being and survival.

The book discusses the effects of artificial intelligence in terms of economics and finance. In particular, the book focuses on the effects of the change in the structure of financial markets, institutions and central banks, along with digitalization analyzed based on fintech ecosystems. In addition to finance sectors, other sectors, such as health, logistics, and industry 4.0, all of which are undergoing an artificial intelligence induced rapid transformation, are addressed in this book. Readers will receive an understanding of an integrated approach towards the use of artificial intelligence across various industries and disciplines with a vision to address the strategic issues and priorities in the dynamic business environment in order to facilitate decision-making processes. Economists, board members of central banks, bankers, financial analysts, regulatory authorities, accounting and finance professionals, chief executive officers, chief audit officers and chief financial officers, chief financial officers, as well as business and management academic researchers, will benefit from reading this book.