Like the first edition,Competing in the Information Age: Align in the Sand, Second Edition, synthesizes for practicing managers the compelling, recent work in this area, with themes that focus on the continuous transformation in business, the adoption of information intensive management practices, the improvement of information processing, and the alignment of business strategy and information technology strategy. Information technology management is now considered a core competency among managers. Rapid advancements in technology, dynamic markets, and the changing business environment have created increased demand for professionals who can manage and deliver information systems. Information systems professionalsChief Information Officers, Chief Knowledge Officers, as well as CFOs and CEOsare required to lead and evolve information resources while partnering with corporate management. This book shows IT professionals how to help their organizations achieve success through alignment and deployment of business and IT strategies.

Innovation, agility, and coordination are paramount in the support of value in the global knowledge economy. Therefore, the long-term success of a company is increasingly dependent on its underlying resilience and agility. ""Knowledge Reuse and Agile Processes"" addresses flexibility of both business and information systems through component technology at the nexus of three seemingly unrelated disciplines: service-oriented architecture, knowledge management, and business process management. Providing practitioners and academicians with timely, compelling research on agile, adaptive processes and information systems, this premier reference source will enhance the collection of every reference library.

This book examines how fuzzy methods can be employed to manage service levels in business and IT alignment. It starts by mapping the dependencies of service level agreements, coming up with gradual and bi-polar concepts to eventually classify the level of coupling by intuitionistic fuzzy sets. The second part presents an approach to analyze the impact of service failures using intuitionistic fuzzy methods (IFSFIA). Lastly, the third part of the book extends the concept towards business and IT-aligned service-level engineering and provides two use cases.

There are two types of readers that will find this book useful: those who have an interest in the Metadatabase model as an integration technology, and those who also seek a general discussion on information system analysis and design. To this end, a general conceptual framework on enterprise integration and modeling is provided in the first chapter, and is used to tie together all of the remaining chapters of the book. The next two chapters present some basics and examples of systems analysis and design for enterprise modeling; which serve the purposes of general discussion on the subject as well as illustrating the modeling methods particular to the Metadatabase approach. The particular methods are discussed fully in Chapter 4. An overview of the Metadatabase Model is provided in Chapter 5 and illustrated with a paper demonstration' of a basic Metadatabase prototype in Chapter 6. The main technical elements of the model are presented in Chapters 7-9. The model is then applied to manufacturing in Chapter 10, where a core information model for implementing the Metadatabase approach to integration is also included. Chapter 11 extends the Metadatabase technology into the realm of information visualization. The new user interface model developed can be applied to integrate the traditional management of information in an enterprise with new cyberspace applications such as electronic commerce. The Metadatabase model of enterprise information integration (for multiple systems) has been developed at Rensselaer Polytechnic Institute under the sponsorships of Alcoa, Digital, GE, GM, and IBM (from 1986-1995 through the Computer-Integrated Manufacturing and the Adaptive Integrated ManufacturingEnterprises programs), the National Science Foundation (since 1991), Samsung (since 1995), and U.S. Army (since 1995). The technology is being developed into a product for Samsung and the Army. This is the first expository book on the topic.

This book analyses quantitative open source software (OSS) reliability assessment and its applications, focusing on three major topic areas: the Fundamentals of OSS Quality/Reliability Measurement and Assessment; the Practical Applications of OSS Reliability Modelling; and Recent Developments in OSS Reliability Modelling. Offering an ideal reference guide for graduate students and researchers in reliability for open source software (OSS) and modelling, the book introduces several methods of reliability assessment for OSS including component-oriented reliability analysis based on analytic hierarchy process (AHP), analytic network process (ANP), and non-homogeneous Poisson process (NHPP) models, the stochastic differential equation models and hazard rate models. These measurement and management technologies are essential to producing and maintaining quality/reliable systems using OSS.

As the global economy turns more and more service oriented, Information Technology-Enabled Services (ITeS) require greater understanding. Increasing numbers and varieties of services are provided through IT. Furthermore, IT enables the creation of new services in diverse fields previously untouched. Because of the catalyzing nature of internet technology, ITeS today has become more than "Outsourcing" of services. This book illustrates the enabling nature of ITeS with its entailment of IT, thus contributing to the betterment of humanity. The scope of this book is not only for academia but also for business persons, government practitioners and readers from daily lives. Authors from a variety of nations and regions with various backgrounds provide insightful theories, research, findings and practices in various fields such as commerce, finance, medical services, government and education. This book opens up a new horizon with the application of Internet-based practices in business, government and in daily lives. Information Technology-Enabled Services works as a navigator for those who sail to the new horizon of service oriented economies.

Foundations of Social Entrepreneurship presents definitions of social entrepreneurship, explains its benefits and challenges, describes the components of an ecosystem of support, and presents practical tools to approach social entrepreneurial projects. It is designed to be easily approachable by anyone without prior in-depth knowledge of the subject. The book is divided into two parts; the first provides readers with theoretical foundations to understand the phenomenon of social entrepreneurship, its different interpretations, the context in which it developed, and its socio-economic function. The second part of the book covers what it takes to create and manage a social entrepreneurial initiative. Pedagogical features are incorporated throughout to aid learning. They include summary tables, international case studies of social entrepreneurs from both developed and emerging economies, as well as suggested exercises and examples of how the tools presented are used in practice. Truly global in its scope, with a strong emphasis on combining theory with practice, this text should be core reading for advanced undergraduate and postgraduate students studying Social Entrepreneurship, Enterprise, and Responsible Business. Online resources include links to resources, chapter-by-chapter PowerPoint slides and instructor's manual.

Traditional business practices have been left behind due to the increased use of data analytics and information technology in companies worldwide. This development has led to businesses implementing transformative projects that use these new technologies in their decision-making systems. Altering the entire architecture of a company is a daunting task; however, researchers are finding methods through applied mathematics that can make it easier on companies. Implementing analytical models into current business processes is vital for professionals across the globe. Using Applied Mathematical Models for Business Transformation is an essential reference source that discusses the advancement of decision-making systems in business environments with the use of applied mathematics, algorithms, and information technology. Featuring research on topics such as decision-making systems, critical success factors, and global enterprise architecture, this book is ideally designed for project managers, financial analysts, business strategists, software engineers, technical architects, students, researchers, and educators seeking coverage on the transformation of business practices using applied mathematics and information technology.

Der Sammelband vereinigt Beitrage von uber 50 Autorinnen und Autoren aus Wirtschaftswissenschaft, Informatik und Mathematik zu aktuellen und grund--legenden Problemen und Losungsansatzen der intelligenten Entscheidungs--unterstutzung in Unternehmen und erscheint zum 65. Geburtstag von Hermann Gehring, Professor fur Wirtschaftsinformatik an der FernUniversitat in Hagen.

This handbook brings together a variety of approaches to the uses of big data in multiple fields, primarily science, medicine, and business. This single resource features contributions from researchers around the world from a variety of fields, where they share their findings and experience. This book is intended to help spur further innovation in big data. The research is presented in a way that allows readers, regardless of their field of study, to learn from how applications have proven successful and how similar applications could be used in their own field. Contributions stem from researchers in fields such as physics, biology, energy, healthcare, and business. The contributors also discuss important topics such as fraud detection, privacy implications, legal perspectives, and ethical handling of big data.

Enterprise Modelling (EM) methods are frequently used by entrepreneurs as an analysis tool for describing and redesigning their businesses. The resulting product, an enterprise model, is commonly used as a blueprint for reconstructing organizations and such effort is often a part of business process re-engineering and improvement initiatives.

Automating Business Modelling describes different techniques of providing automated support for enterprise modelling methods and introduces universally used approaches. A running example of a business modelling method is included; providing a framework and detailed explanation as to how to construct automated support for modelling, allowing readers to follow the method to create similar support.

Suitable for senior undergraduates and postgraduates of Business Studies, Computer Science and Artificial Intelligence, practitioners in the fields of Knowledge Management, Enterprise Modelling and Software Engineering, this book offers insight and know-how to both student and professional.

Many recent advances in modelling within the applied sciences and engineering have focused on the increasing importance of sensitivity analyses. For a given physical, financial or environmental model, increased emphasis is now placed on assessing the consequences of changes in model outputs that result from small changes or errors in both the hypotheses and parameters. The approach proposed in this book is entirely new and features two main characteristics. Even when extremely small, errors possess biases and variances. The methods presented here are able, thanks to a specific differential calculus, to provide information about the correlation between errors in different parameters of the model, as well as information about the biases introduced by non-linearity. The approach makes use of very powerful mathematical tools (Dirichlet forms), which allow one to deal with errors in infinite dimensional spaces, such as spaces of functions or stochastic processes. The method is therefore applicable to non-elementary models along the lines of those encountered in modern physics and finance. This text has been drawn from presentations of research done over the past ten years and that is still ongoing. The work was presented in conjunction with a course taught jointly at the Universities of Paris 1 and Paris 6. The book is intended for students, researchers and engineers with good knowledge in probability theory.

Whilst Information Systems has the potential to widen our view of the world, it often has the opposite effect by limiting our ability to interact, facilitating managerial and state surveillance or instituting strict hierarchies and personal control. In this book, Bernd Stahl offers an alternative and critical perspective on the subject, arguing that the ongoing problems in this area could be caused by the misconceptualization of the nature and role of IS. Stahl discusses the question of how IS can be used to actually overcome oppression and promote emancipation, breaking the book into four sections. The first section covers the theory of critical research in IS, giving a central place for the subject of ethics. The second section discusses the philosophical underpinnings of this critical research. The third and largest section gives examples of the application of critical work in IS. The final section then reflects on the approach and suggests ways for further development.

Information technology has had a major impact on individuals, organizations and society over the past 50 years. There are few organizations that can afford to ignore IT and few individuals who would prefer to be without it. As managerial tasks become more complex, so the nature of the required information systems (IS) changes - from structured, routine support to ad hoc, complex enquiries at the highest levels of management. Global Information Systems aims to present the many complex and inter-related issues associated with culture in the management of information systems.
The editors have selected a wide range of contemporary articles from leading experts in North America and Europe that represent a wide variety of different national and cultural environments. They offer valid explanations for, rather than simply pointing out cultural differences in articles that cover a variety of national cultures, including: China, Egypt, Finland, Hong Kong, Hungary, India, Jamaica, Peru South Korea, Kuwait, Mexico, Singapore, Sweden, the United Arab Emirate, the UK, and the US.
* Provides students with insight into managing global firms and IT workforce
* Contributions are carefully selected from universities of world renown and is supported by helpful introductions for each paper
* Reflects current trends and debates around Global IS

The authors present a number of financial market studies that have as their general theme, the econometric testing of the underlying econometric assumptions of a number of financial models. More than 30 years of financial market research has convinced the authors that not enough attention has been paid to whether the estimated model is appropriate or, most importantly, whether the estimation technique is suitable for the problem under study. For many years linear models have been assumed with little or no testing of alternative specification. The result has been models that force linearity assumptions on what clearly are nonlinear processes. Another major assumption of much financial research constrains the coefficients to be stable over time. This critical assumption has been attacked by Lucas (1976) on the grounds that when economic policy changes, the coefficients of macroeconomics models change. If this occurs, any policy forecasts of these models will be flawed. In financial modeling, omitted (possibly non-quantifiable) variables will bias coefficients. While it may be possible to model some financial variables for extended periods, in other periods the underlying models may either exhibit nonlinearity or show changes in linear models. The authors research indicates that tests for changes in linear models, such as recursive residual analysis, or tests for episodic nonlinearity can be used to signal changes in the underlying structure of the market.

The book begins with a brief review of basic linear time series techniques that include autoregressive integrated moving average models (ARIMA), vector autoregressive models (VAR), and models form the ARCH/GARCH class. While the ARIMA and VAR approach models the first moment of a series, models of the ARCH/GARCH class model both the first moment and second moment which is interpreted as conditional or explained volatility of a series. Recent work on nonlinearity detection has questioned the appropriateness of these essentially linear approaches. A number of such tests are shown and applied for the complete series and a subsets of the series. A major finding is that the structure of the series may change over time. Within the time frame of a study, there may be periods of episodic nonlinearity, episodic ARCH and episodic nonstationarity. Measures are developed to measure and relate these events both geographically and with mathematical models. This book will be of interest to applied finance researchers and to market participants.

This book draws new attention to domain-specific conceptual modeling by presenting the work of thought leaders who have designed and deployed specific modeling methods. It provides hands-on guidance on how to build models in a particular domain, such as requirements engineering, business process modeling or enterprise architecture. In addition to these results, it also puts forward ideas for future developments. All this is enriched with exercises, case studies, detailed references and further related information. All domain-specific methods described in this volume also have a tool implementation within the OMiLAB Collaborative Environment - a dedicated research and experimentation space for modeling method engineering at the University of Vienna, Austria - making these advances accessible to a wider community of further developers and users. The collection of works presented here will benefit experts and practitioners from academia and industry alike, including members of the conceptual modeling community as well as lecturers and students.

This is a selection of papers representing the best thinking of leading researchers and practitioners in the field of management of technology. Based on a conference on growth through business innovation and entrepreneurship, it addresses a wide range of starting points for technology and innovation managers on how to develop and commercialize new technologies. The book is structured along three themes: entrepreneurship and venture creation; knowledge management; and multi-actor innovation. The first theme essentially deals with entrepreneurial energy, the conditions for its appearance and its success. It focuses mostly on entrepreneurs in innovation, start-ups and venturing activities. The second theme is composed of articles addressing various issues of knowledge and know-how management - the role that information and technologies play to facilitate and create new business opportunities. The third theme discusses the trend towards a multi-actor innovation process, according to which developments are carried out by several organizations, firms or otherwise, each contributing a piece of the innovation puzzle. The concentration is on three areas: the actual implementation of collaborative developments, involving various types of partners; supply and demand chains; and the interplay between technology and its societal context.

The globalization of everyday business and increasing international trade lead to a growing need to improve national and international business collaborations and transactions. Upcoming new technologies for e-business transactions allow for new ways of process, information and application integration. But business partners almost always have different ways to systemize the information needed to run the business, in terms of information structure, syntax and semantics. Consequences are mismatch and misunderstanding in electronic transactions. This book shows what ontology management can do for process, information and application integration under dynamic e-business conditions. We not only discuss research results and develop novel methods and frameworks, but also apply them to build business use application components that are deployed as web services.

This book offers a comprehensive guide to implementing SAP and HANA on private, public and hybrid clouds. Cloud computing has transformed the way organizations run their IT infrastructures: the shift from legacy monolithic mainframes and UNIX platforms to cloud based infrastructures offering ubiquitous access to critical information, elastic provisioning and drastic cost savings has made cloud an essential part of every organization's business strategy. Cloud based services have evolved from simple file sharing, email and messaging utilities in the past, to the current situation, where their improved technical capabilities and SLAs make running mission-critical applications such as SAP possible. However, IT professionals must take due care when deploying SAP in a public, private or hybrid cloud environment. As a foundation for core business operations, SAP cloud deployments must satisfy stringent requirements concerning their performance, scale and security, while delivering measurable improvements in IT efficiency and cost savings. The 2nd edition of "SAP on the Cloud" continues the work of its successful predecessor released in 2013, providing updated guidance for deploying SAP in public, private and hybrid clouds. To do so, it discusses the technical requirements and considerations necessary for IT professionals to successfully implement SAP software in a cloud environment, including best-practice architectures for IaaS, PaaS and SaaS deployments. The section on SAP's in-memory database HANA has been significantly extended to cover Suite on HANA (SoH) and the different incarnations of HANA Enterprise Cloud (HEC) and Tailored Datacenter Integration (TDI). As cyber threats are a significant concern, it also explores appropriate security models for defending SAP cloud deployments against modern and sophisticated attacks. The reader will gain the insights needed to understand the respective benefits and drawbacks of various deployment models and how SAP on the cloud can be used to deliver IT efficiency and cost-savings in a secure and agile manner.

Despite the ever-increasing interest in eye tracking, there is still no comprehensive work on the potential and applications of table-mounted and mobile head-mounted eye tracking solutions in travel and tourism. This volume bridges that gap, effectively linking eye tracking with travel and tourism. It presents, on the one hand, novel academic contributions on the concept of eye tracking, and on the other, practice-oriented case studies that illustrate the use and strategic value of eye tracking in travel and tourism. It provides concrete and novel insights into tourist behavior and the tourist consumer experience and, for the academic community, offers a comprehensive, scientifically based overview of the empirical, methodological, theoretical, and practical contributions of eye tracking research. Accordingly, the book will be of value to a diverse audience. It will be a useful resource for existing and future tourism businesses, allowing them to adopt proactive approaches in the design of tourism products. It will also stimulate further research in the field and inspire scholars and practitioners to combine their ideas and expertise, to look beyond supposedly fixed horizons, and to identify emerging opportunities.

Embrace data and use it to sell and market your products Data is everywhere and it keeps growing and accumulating. Companies need to embrace big data and make it work harder to help them sell and market their products. Successful data analysis can help marketing professionals spot sales trends, develop smarter marketing campaigns, and accurately predict customer loyalty. Data Driven Marketing For Dummies helps companies use all the data at their disposal to make current customers more satisfied, reach new customers, and sell to their most important customer segments more efficiently. * Identifying the common characteristics of customers who buy the same products from your company (or who might be likely to leave you) * Tips on using data to predict customer purchasing behavior based on past performance * Using customer data and marketing analytics to predict when customers will purchase certain items * Information on how data collected can help with merchandise planning * Breaking down customers into segments for easier market targeting * Building a 360 degree view of a customer base Data Driven Marketing For Dummies assists marketing professionals at all levels of business in accelerating sales through analytical insights.

Mathematical Statistics for Economics and Business, Second Edition, provides a comprehensive introduction to the principles of mathematical statistics which underpin statistical analyses in the fields of economics, business, and econometrics. The selection of topics in this textbook is designed to provide students with a conceptual foundation that will facilitate a substantial understanding of statistical applications in these subjects. This new edition has been updated throughout and now also includes a downloadable Student Answer Manual containing detailed solutions to half of the over 300 end-of-chapter problems. After introducing the concepts of probability, random variables, and probability density functions, the author develops the key concepts of mathematical statistics, most notably: expectation, sampling, asymptotics, and the main families of distributions. The latter half of the book is then devoted to the theories of estimation and hypothesis testing with associated examples and problems that indicate their wide applicability in economics and business. Features of the new edition include: a reorganization of topic flow and presentation to facilitate reading and understanding; inclusion of additional topics of relevance to statistics and econometric applications; a more streamlined and simple-to-understand notation for multiple integration and multiple summation over general sets or vector arguments; updated examples; new end-of-chapter problems; a solution manual for students; a comprehensive answer manual for instructors; and a theorem and definition map. This book has evolved from numerous graduate courses in mathematical statistics and econometrics taught by the author, and will be ideal for students beginning graduate study as well as for advanced undergraduates.

This collection of papers examines issues related to the identification, preservation, and long-term use of electronic records. The articles discuss the functional changes in public administration work; the evolving nature of documentation itself; the limitations and future of traditional instruments and principles; and the technological, conceptual, and economic implications of capturing and retaining data electronically.

This textbook reviews and systematically presents the use of the Internet in public administration and politics. Further, it employs a process-oriented layer model to define the opportunities for exchange and participation for all stakeholder groups, covering the following topics: eAssistance, eProcurement, eService, eContracting, eSettlement, eCollaboration, eDemocracy, and eCommunity. In turn, real-world case studies demonstrate the practical applications in industry, administration and research. The second edition of this book has been completely revised and extended, and includes several new case studies. It offers a valuable asset for students in Business, Economics and Political Sciences courses, as well as practitioners interested in emerging opportunities for digital exchange and participation in the knowledge society.