For courses on decision modeling through the use of spreadsheets. The perfect balance between decision modeling and spreadsheet use. It's important that textbooks support decision modeling courses by combining student's ability to logically model and analyze diverse decision-making scenarios with software-based solution procedures. Balakrishnan offers the perfect balance of the decision modeling process and the use of spreadsheets to set up and solve decision models. The third edition has been updated to reflect the latest version of Excel.

Electronic Business will create changes similar to those brought about by the Industrial Revolution. It will change our business, society, and governance. It is happening now!Electronic Business is the integration of information technology (IT) and particularly the Internet into business processes. In the past 30 years IT has made processes more effective and efficient, but it has not fundamentally transformed them. Now, Electronic Business changes everything. The Internet is the catalyst: its eventual impact will be as great as or greater than that of the printing press.The aim of this book is to point out the challenges and opportunities facing Europe and its companies. It is based on the authors' joint experience of over 40 years with IT in business, industry, and government.

Workflow management systems (WFMS) are enjoying increasing popular ity due to their ability to coordinate and streamline complex organizational processes within organizations of all sizes. Organizational processes are de scriptions of an organization's activities engineered to fulfill its mission such as completing a business contract or satisfying a specific customer request. Gaining control of these processes allows an organization to reengineer and improve each process or adapt them to changing requirements. The goal of WFMSs is to manage these organizational processes and coordinate their execution. was demonstrated in the first half The high degree of interest in WFMSs of the 1990s by a significant increase in the number of commercial products (once estimated to about 250) and the estimated market size (in combined $2 billion in 1996. Ensuing maturity product sales and services) of about is demonstrated by consolidations during the last year. Ranging from mere e-mail based calendar tools and flow charting tools to very sophisticated inte grated development environments for distributed enterprise-wide applications and systems to support programming in the large, these products are finding an eager market and opening up important research and development op portunities. In spite of their early success in the market place, however, the current generation of systems can benefit from further research and develop ment, especially for increasingly complex and mission-critical applications.

This book presents a new approach to the valuation of capital asset investments and investment decision-making. Starting from simple premises and working logically through three basic elements (capital, income, and cash flow), it guides readers on an interdisciplinary journey through the subtleties of accounting and finance, explaining how to correctly measure a project's economic profitability and efficiency, how to assess the impact of investment policy and financing policy on shareholder value creation, and how to design reliable, transparent, and logically consistent financial models. The book adopts an innovative pedagogical approach, based on a newly developed accounting-and-finance-engineering system, to help readers gain a deeper understanding of the accounting and financial magnitudes, learn about new analytical tools, and develop the necessary skills to practically implement them. This diverse approach to capital budgeting allows a sophisticated economic analysis in both absolute terms (values) and relative terms (rates of return), and is applicable to a wide range of economic entities, including real assets and financial assets, engineering designs and manufacturing schemes, corporate-financed and project-financed transactions, privately-owned projects and public investments, individual projects and firms. As such, this book is a valuable resource for a broad audience, including scholars and researchers, industry practitioners, executives, and managers, as well as students of corporate finance, managerial finance, engineering economics, financial management, management accounting, operations research, and financial mathematics. It features more than 180 guided examples, 50 charts and figures and over 160 explanatory tables that help readers grasp the new concepts and tools. Each chapter starts with an abstract and a list of the skills readers can expect to gain, and concludes with a list of key points summarizing the content.

This book is comprised of presentations delivered at the 5th Workshop on Biostatistics and Bioinformatics held in Atlanta on May 5-7, 2017. Featuring twenty-two selected papers from the workshop, this book showcases the most current advances in the field, presenting new methods, theories, and case applications at the frontiers of biostatistics, bioinformatics, and interdisciplinary areas. Biostatistics and bioinformatics have been playing a key role in statistics and other scientific research fields in recent years. The goal of the 5th Workshop on Biostatistics and Bioinformatics was to stimulate research, foster interaction among researchers in field, and offer opportunities for learning and facilitating research collaborations in the era of big data. The resulting volume offers timely insights for researchers, students, and industry practitioners.

This book presents a collection of mathematical models that deals with the real scenario in the industries. The primary objective of this book is to explore various effective methods for inventory control and management using soft computing techniques. Inventory control and management is a very tedious task faced by all the organizations in any sector of the economy. It makes decisions for policies, activities, and procedures in order to make sure that the right amount of each item is held in stock at any time. Many industries suffer from indiscipline while ordering and production mismatch. It is essential to provide best ordering policy to control such kind of mismatch in the industries. All the mathematical model solutions are provided with the help of various soft computing optimization techniques to determine optimal ordering policy. This book is beneficial for practitioners, educators, and researchers. It is also helpful for retailers/managers for improving business functions and making more accurate and realistic decisions.

What makes information useful? This seemingly simple and yet intriguing and complicated question is discussed in this book. It examines ways in which the quality of information can be improved in knowledge-intensive processes (such as on-line communication, strategy, product development, or consulting). The book proposes a conceptual framework to manage information quality for knowledge-based content, presenting four proven principles to apply the framework to a variety of information products. Five in-depth company case studies show how information quality can be managed systematically in order to increase the satisfaction of knowledge workers and information consumers. The book uses frequent diagrams and tables, as well as diagnostic questions and summary boxes to make its content actionable.

This volume constitutes a first approximation for the use of systems approaches and dynamic performance management as tools for collaborative governance. The chapters examine models and simulations used in some specific systems approaches, which contribute to facilitating problem focus and collective understanding of collaborative governance, especially in the area of performance management. The explicit connection between resources and outcomes promoted by this view helps managers to understand better how to improve policy and to create positive outcomes that create public value.

This book studies mathematical theories of machine learning. The first part of the book explores the optimality and adaptivity of choosing step sizes of gradient descent for escaping strict saddle points in non-convex optimization problems. In the second part, the authors propose algorithms to find local minima in nonconvex optimization and to obtain global minima in some degree from the Newton Second Law without friction. In the third part, the authors study the problem of subspace clustering with noisy and missing data, which is a problem well-motivated by practical applications data subject to stochastic Gaussian noise and/or incomplete data with uniformly missing entries. In the last part, the authors introduce an novel VAR model with Elastic-Net regularization and its equivalent Bayesian model allowing for both a stable sparsity and a group selection.

Information technology (IT) use has generally been regarded as a positive phenomenon which always generates desirable outcomes. Recent years, however, have witnessed increasing negative consequences resulted from IT use. Emerging issues include individual users have experienced technostress from personal social media usage as well as IT use in the workplace; and organisations have experienced a loss in productivity and assets due to employees' non-compliance with information security policies.Themes explored throughout the book include: AI and its Implications for Organisations Augmented Reality Cognitive Absorption of Technology Information Technology in Organisations and Societies: Multidisciplinary Perspectives from AI to Technostress represents a collective effort that not only consolidates studies on key issues and phenomena concerning the positive and negative aspects of IT use but also prescribes future research avenues in related research domains. It is particularly relevant to academics and researchers working on IT use research and can be used as a handy reference guide by those working in the field.

This book presents a new paradigm of software testing by emphasizing the role of critical thinking, system thinking and rationality as the most important skills for the tester. It thus approaches software testing from a different perspective than in past literature, as the vast majority of books describe testing in the context of specific tools, automation, documentation, particular test design techniques or test management. In addition, the book proposes a novel meta-approach for designing effective test strategies, which is based on recent advances in psychology, economics, system sciences and logic. Chapter 1 starts by introducing the fundamental ideas underlying software testing. Chapter 2 then describes meta-strategies in software testing, i.e. general approaches that can be adapted to many different situations that a software tester encounters. Next, Chapter 3 presents the concept of Thinking-Driven Testing (TDT). This approach utilizes the concepts discussed in the two previous chapters and introduces the main ideas that underlie a reasonable and optimal approach to software testing. Chapter 4 builds on this basis and proposes a specific approach to testing, called TQED, that makes it possible to increase creativity in the context of delivering effective, optimal test ideas. Chapter 5 provides an overview of different types of testing techniques in order to understand the fundamental concepts of test design, while Chapter 6 details various pitfalls a tester may encounter and that can originate from a wide range of testing process areas. Lastly, Chapter 7 puts all this into practice, as it contains several exercises that will help testers develop a number of crucial skills: logical thinking and reasoning, thinking out of the box, creativity, counting and estimating, and analytical thinking. By promoting critical, rational and creative thinking, this book invites readers to re-examine common assumptions regarding software testing and shows them how to become professional testers who bring added value to their company.

The entertainment industry has long been dominated by legendary screenwriter William Goldman's "Nobody-Knows-Anything" mantra, which argues that success is the result of managerial intuition and instinct. This book builds the case that combining such intuition with data analytics and rigorous scholarly knowledge provides a source of sustainable competitive advantage - the same recipe for success that is behind the rise of firms such as Netflix and Spotify, but has also fueled Disney's recent success. Unlocking a large repertoire of scientific studies by business scholars and entertainment economists, the authors identify essential factors, mechanisms, and methods that help a new entertainment product succeed. The book thus offers a timely alternative to "Nobody-Knows" decision-making in the digital era: while coupling a good idea with smart data analytics and entertainment theory cannot guarantee a hit, it systematically and substantially increases the probability of success in the entertainment industry. Entertainment Science is poised to inspire fresh new thinking among managers, students of entertainment, and scholars alike. Thorsten Hennig-Thurau and Mark B. Houston - two of our finest scholars in the area of entertainment marketing - have produced a definitive research-based compendium that cuts across various branches of the arts to explain the phenomena that provide consumption experiences to capture the hearts and minds of audiences. Morris B. Holbrook, W. T. Dillard Professor Emeritus of Marketing, Columbia University Entertainment Science is a must-read for everyone working in the entertainment industry today, where the impact of digital and the use of big data can't be ignored anymore. Hennig-Thurau and Houston are the scientific frontrunners of knowledge that the industry urgently needs. Michael Koelmel, media entrepreneur and Honorary Professor of Media Economics at University of Leipzig Entertainment Science's winning combination of creativity, theory, and data analytics offers managers in the creative industries and beyond a novel, compelling, and comprehensive approach to support their decision-making. This ground-breaking book marks the dawn of a new Golden Age of fruitful conversation between entertainment scholars, managers, and artists. Allegre Hadida, Associate Professor in Strategy, University of Cambridge

Blockchain technology may have first emerged with bitcoin but its significance extends far beyond the financial sector: it is ushering in a whole new techno-economic paradigm. This book provides the first critical, in-depth examination of blockchain's transformative impact on the creative industries, including music, media, art and gaming. Drawing on interviews with 10 leading start-ups and a comprehensive review of the literature, the author examines blockchain's impact on business models, addresses the barriers and risks, and concludes with policy recommendations that will help unlock value in the UK's creative economy.

A much-needed addition to literature, this timely edited collection aims to provide clarity and understanding on how modern organizations work. The authors explore the characteristics of hybrid organizations in contemporary society, taking into account the complex societal challenges that face businesses today. Arguing that hybrid organizations are in fact not a new phenomenon, this thought-provoking collection goes beyond existing research and re-evaluates our traditional understanding of this concept. Scholars of organization, management and innovation will find this book an insightful read, as it sheds light on the fundamental aspects that shape today's hybrid organizations.

An idea is the first step in the process of creating a business. Most ideas, no matter how brilliant they may seem, never actually end up becoming a business. This book explains how to: Look for new small business ideas. Evaluate ideas for their commercial potential. Unlock the strategies that turn an idea into a business. English's focus is on finding the seed of an idea and the process of developing it into a genuine business opportunity. He includes practical diagnostic 'reality tests' developed in his small business workshops. He also includes an analysis of changes in the Australian small business environment as result of Covid-19. The practical, slim volume is ideal for any budding entrepreneur looking for guidance on how to evaluate a business opportunity and build a commercial strategy around it. It will also be an ideal secondary reading for books on entrepreneurship and small business courses.

Provides answers to key questions affecting the future of electronic data interchange (EDI) and its impact on the business community as a whole. This evolving technology is cheaper than fax, easier to use than electronic bulletin boards and faster than the postal services. It contains practical information and alerts the reader to the level and types of controls necessary to protect data handled through the EDI system interface.

This book covers several new areas in the growing field of analytics with some innovative applications in different business contexts, and consists of selected presentations at the 6th IIMA International Conference on Advanced Data Analysis, Business Analytics and Intelligence. The book is conceptually divided in seven parts. The first part gives expository briefs on some topics of current academic and practitioner interests, such as data streams, binary prediction and reliability shock models. In the second part, the contributions look at artificial intelligence applications with chapters related to explainable AI, personalized search and recommendation, and customer retention management. The third part deals with credit risk analytics, with chapters on optimization of credit limits and mitigation of agricultural lending risks. In its fourth part, the book explores analytics and data mining in the retail context. In the fifth part, the book presents some applications of analytics to operations management. This part has chapters related to improvement of furnace operations, forecasting food indices and analytics for improving student learning outcomes. The sixth part has contributions related to adaptive designs in clinical trials, stochastic comparisons of systems with heterogeneous components and stacking of models. The seventh and final part contains chapters related to finance and economics topics, such as role of infrastructure and taxation on economic growth of countries and connectedness of markets with heterogenous agents, The different themes ensure that the book would be of great value to practitioners, post-graduate students, research scholars and faculty teaching advanced business analytics courses.

The digital traces that people leave behind as they conduct their daily lives provide a powerful resource for businesses to better understand the dynamics of an otherwise chaotic society. Digital technologies have become omnipresent in our lives and we still do not fully know how to make the best use of the data these technologies could harness. Businesses leveraging big data appropriately could definitely gain a sustainable competitive advantage. With a balanced mix of texts and cases, this book discusses a variety of digital technologies and how they transform people and organizations. It offers a debate on the societal consequences of the yet unfolding technological revolution and proposes alternatives for harnessing disruptive technologies for the greater benefit of all. This book will have wide appeal to academics in technology management, strategy, marketing, and human resource management.

The fundamental reason for the existence of any manufacturing organization is to generate wealth by adding value to the products and services it offers. In this new global industrial environment, value is generated from many sources, such as rapid and flexible fulfillment of orders, developing new innovative products and services, providing rapid and responsive product and service support, delivering innovative turn-key solutions to customers, and so on. In the 21st century most manufacturing organizations will have to respond to these challenges through innovative partnerships, by creating virtual enterprises, by operating in agile networks to generate value by exploiting their existing competencies in design, manufacturing, distribution and customer service, whilst building new competencies in information systems, communications and knowledge management. Just as no man is an island, so no business can operate without being part of a network of businesses, which we call the manufacturing value chain. This book brings together the works of leading researchers to present state-of-the-art research and development on the strategic management of the manufacturing value chain' in the broadest sense. The objectives of Strategic Management of the Manufacturing Value Chain are: To provide insights into potential strategies, methods, tools and techniques which could facilitate competitiveness through innovation agility and partnership. To explore the use of enabling technologies, such as IT, in meeting the challenges of the 21st century. To provide practical case studies which demonstrate the use of new approaches to the generation and management of value in manufacturing. Strategic Managementof the Manufacturing Value Chain is suitable as a secondary text for graduate-level courses of management and manufacturing, and as a reference for researchers and practitioners in industry, commerce and government.

This book provides an overview of data mining methods demonstrated by software. Knowledge management involves application of human knowledge (epistemology) with the technological advances of our current society (computer systems) and big data, both in terms of collecting data and in analyzing it. We see three types of analytic tools. Descriptive analytics focus on reports of what has happened. Predictive analytics extend statistical and/or artificial intelligence to provide forecasting capability. It also includes classification modeling. Diagnostic analytics can apply analysis to sensor input to direct control systems automatically. Prescriptive analytics applies quantitative models to optimize systems, or at least to identify improved systems. Data mining includes descriptive and predictive modeling. Operations research includes all three. This book focuses on descriptive analytics. The book seeks to provide simple explanations and demonstration of some descriptive tools. This second edition provides more examples of big data impact, updates the content on visualization, clarifies some points, and expands coverage of association rules and cluster analysis. Chapter 1 gives an overview in the context of knowledge management. Chapter 2 discusses some basic software support to data visualization. Chapter 3 covers fundamentals of market basket analysis, and Chapter 4 provides demonstration of RFM modeling, a basic marketing data mining tool. Chapter 5 demonstrates association rule mining. Chapter 6 is a more in-depth coverage of cluster analysis. Chapter 7 discusses link analysis. Models are demonstrated using business related data. The style of the book is intended to be descriptive, seeking to explain how methods work, with some citations, but without deep scholarly reference. The data sets and software are all selected for widespread availability and access by any reader with computer links.

The Internet is already more widely deployed than any other computing system in history and continues to grow rapidly. New technologies, including high speed wide area network and improved software support for distribution, promise to make the Internet much more useful for general purpose distributed computing in the future. Web Information Systems is dedicated to the new era of information systems on web environments, due to not only the growing popularity of the web technology but also the roles that web technology play in modern information systems. The major elements of web information systems include web semantics, XML technologies, web mining and querying, web-based information systems, information extraction, and web semantics.

In this groundbreaking book, two acknowledged experts explore the underlying principles of systems integration, and, with the help of numerous case studies show IT managers, systems analysts, and project managers how to apply those principles to solving complex business problems. The authors reveal the linkages between business processes and how they can be supported in enterprise-wide integrated systems. Rather than review specific products and tools, the authors use real-life examples to provides readers with a practical understanding of integrated system architectures and how they function within the framework of an Enterprise Planning System.

This open access book explores the digital transformation of small and rural towns, in particular, how to measure the evolution and development of digital towns. In addition to access to resources, competition from urban and global markets, and population trends, rural communities present lesser access and use of digital technologies and have lower digital competencies and skills than their urban counterparts. Consequently, they experience less beneficial outcomes from increased digitalisation than urban areas. This book defines what a digital town is and explores digitalisation from the perspective of the four basic economic sectors in towns - individuals and households, businesses, the public sector, and civil society - and three types of enabling infrastructure - digital connectivity, education, and governance. Particular attention is paid to how digitalisation efforts are measured by intergovernmental and international organisations for each sector and enabling infrastructure. The book concludes with a Digital Town Readiness Framework that offers local communities, policymakers, and scholars an initial set of indicators upon which to develop digital town initiatives, and measure progress. For those ready to embrace the opportunity, this book is a pathfinder on the road to a more equitable and impactful digital society and digital economy.

Organisational Semiotics occupies an important niche in the research community of human communication and information systems. It opens up new ways of understanding the functioning of information and information resources in organised behavior.

Coordination And Communication Using Signs: Studies in Organisational Semiotics is a cutting-edge volume that bridges the gap between the technical and social aspects of information systems and information technology. The chapters in the book are divided into two major sections. The first section deals with Communication and Pragmatics, and Organisational Systems. In this section the following topics are examined:

• the semiotic framework and natural language;
• coordination and communication using natural language and other artifacts in a real-life setting;
• substantive-level issues of information systems and business processes from several theoretical perspectives;
• language as action;
• communication quality in the context of systems and business processes;
• organisational action and Greimas' semiotics.

Section Two concentrates on organisational systems, which may or may not include a computer system as a component and examines the following topics:

• semiotic strategies and semiotic models of organisational structures;
• the impact of information technology with instructive case studies;
• the impact of information technology with a particular focus on sense-making in the work floor context;
• the design of computer information systems;
• improving the design quality of agent-based information systems;
• the design ofinformation systems, in terms of capacity, and data scheme.

All the chapters in the volume have been submitted to a review process of discussants and peer reviews.

This book examines the shifting role of media trust in a digital world, and critically analyzes how news and stories are created, distributed and consumed. Emphasis is placed on the current challenges and possible solutions to regain trust and restore credibility. The book reveals the role of trust in communication, in society and in media, and subsequently addresses media at the crossroads, as evinced by phenomena like gatekeepers, echo chambers and fake news. The following chapters explore truth and trust in journalism, the role of algorithms and robots in media, and the relation between social media and individual trust. The book then presents case studies highlighting how media creates trust in the contexts of: brands and businesses, politics and non-governmental organizations, science and education. In closing, it discusses the road ahead, with a focus on users, writers, platforms and communication in general, and on media competency, skills and education in particular.