The importance of benchmarking in the service sector is well recognized as it helps in continuous improvement in products and work processes. Through benchmarking, companies have strived to implement best practices in order to remain competitive in the product- market in which they operate. However studies on benchmarking, particularly in the software development sector, have neglected using multiple variables and therefore have not been as comprehensive. Information Theory and Best Practices in the IT Industry fills this void by examining benchmarking in the business of software development and studying how it is affected by development process, application type, hardware platforms used, and many other variables. Information Theory and Best Practices in the IT Industry begins by examining practices of benchmarking productivity and critically appraises them. Next the book identifies different variables which affect productivity and variables that affect quality, developing useful equations that explaining their relationships. Finally these equations and findings are applied to case studies. Utilizing this book, practitioners can decide about what emphasis they should attach to different variables in their own companies, while seeking to optimize productivity and defect density.

In the field of genetic and evolutionary algorithms (GEAs), a large amount of theory and empirical study has been focused on operators and test problems, while problem representation has often been taken as given. This book breaks with this tradition and provides a comprehensive overview on the influence of problem representations on GEA performance. The book summarizes existing knowledge regarding problem representations and describes how basic properties of representations, such as redundancy, scaling, or locality, influence the performance of GEAs and other heuristic optimization methods. Using the developed theory, representations can be analyzed and designed in a theory-guided matter. The theoretical concepts are used for solving integer optimization problems and network design problems more efficiently. The book is written in an easy-readable style and is intended for researchers, practitioners, and students who want to learn about representations. This second edition extends the analysis of the basic properties of representations and introduces a new chapter on the analysis of direct representations.

Continuous technological innovation amidst the increasing complexity of organizational structures and operations has created the need to achieve a new level of skillful performance and innovative procedures within the information resources management sector. ""Best Practices and Conceptual Innovations in Information Resources Management: Utilizing Technologies to Enable Global Progressions"" provides authoritative insight into emerging developments in information resources management and how these technologies are shaping the way the world does business, creates policies, and advances organizational practices. With chapters delving into pertinent aspects of such disciplines as knowledge management, open source software, systems engineering, project management, and IT governance, this book offers audiences solutions for improved organizational functioning.

Small and medium-sized enterprises (SMEs) play a critical role in rejuvenating and sustaining the modern economy, generating substantial employment and serving as important innovation engines for the global economy. Global Perspectives on Small and Medium Enterprises and Strategic Information Systems: International Approaches aims to spread research conducted on SMEs internationally and place it at the disposal of academics, practitioners, consultants, the vendor community, and policymakers. The goal of this book is to highlight the challenges faced by SMEs and how they are coping with the adverse environment through skillful use of IT and technologies such as Web 2.0, Enterprise Resource Planning (ERP), e-commerce, open source software, Business Process Digitization (BPD), and other emerging technologies.

The promotion of an enterprise culture and entrepreneurship in India in recent decades has had far-reaching implications beyond the economy, and transformed social and cultural attitudes and conduct. This book brings together pioneering research on the nature of India's enterprise culture, covering a range of different themes: workplace, education, religion, trade, films, media, youth identity, gender relations, class formation and urban politics. Based on extensive empirical and ethnographic research by the contributors, the book shows the myriad manifestations of enterprise culture and the making of the aspiring, enterprising-self in public culture, social practice, and personal lives, ranging from attempts to construct hegemonic ideas in public discourse, to appropriation by individuals and groups with unintended consequences, to forms of contested and contradictory expression. It discusses what is 'new' about enterprise culture and how it relates to pre-existing ideas, and goes on to look at the processes and mechanisms through which enterprise culture is becoming entrenched, as well as how it affects different classes and communities. The book highlights the social and political implications of enterprise culture and how it recasts family and interpersonal relationships as well as personal and collective identity. Illuminating one of the most important aspects of India's current economic and social transformation, this book is of interest to students and scholars of Asian Business, Sociology, Anthropology, Development Studies and Media and Cultural Studies.

Concurrent Enterprising: Toward the Concurrent Enterprise in the Era of the Internet and Electronic Commerce presents the concurrent enterprise business model and concurrent enterprising approach, which is emerging as a crucial challenge for organizations in all geographical locations and economic sectors. To achieve this goal, this book deals with the main aspects of the merging context in which enterprises are doing business. This context is characterized by the fastest-spread information and communication technologies (ICT) that constitute the new infrastructure of the global marketplace. This book discusses a set of the most advanced enterprise paradigms created during the 1980s and 1990s, most of them supported by advanced research programs, especially in the worldwide manufacturing industry. The book discusses differences between these enterprise paradigms and presents Internet-related technologies as a main driver toward a new business model. It then examines less theoretical questions - among them, how to implement this new business model and how companies can move to the concurrent enterprise paradigm in creating a concurrent business environment. And it introduces a methodology for enterprises willing to maintain or even improve their competitiveness in the global marketplace. The book has eight chapters. The first two concentrate on the advanced enterprise paradigms, and their advantages and limits for maintaining or improving competitiveness in the global marketplace. Chapter 3 studies, separately, the virtual enterprise and related approaches. Chapter 4 studies another fundamental ingredient of the new business model - concurrent engineering (CE). Chapter 5 summarizes these preceding approaches and establishes a foundation for building a concurrent enterprise. Chapter 6 presents specific business cases illustrating the advantages and limits of virtual enterprise applications and introduces electronic commerce and electronic documents. Chapter 7 presents concurrent enterprise as a new business model, and Chapter 8 synthesizes the concurrent enterprising process. Concurrent Enterprising: Toward the Concurrent Enterprise in the Era of the Internet and Electronic Commerce is a reference and a user's guide designed for business managers, IT managers, engineers, researchers, scientists, and other individuals interested in learning how to use a sustainable business model driven by the Internet and electronic commerce.

Virtual teams constitute a relatively new knowledge area that has risen from two recent changes: the globalization of industry and markets, and advances in information communication technology tools. Continual technological advancement is set against a backdrop of international mergers, take-overs, and alliances, which invariably leads to more distributed collaboration, both formal and informal. The concept of creativity is often at the core of such proactive decisions.Virtual Teams and Creativity: Managing Virtual Teams Effectively for Higher Creativity presents advanced research on the concept of creativity using virtual teams, demonstrating a specific focus and application for virtual teams. Virtual Teams and Creativity: Managing Virtual Teams Effectively for Higher Creativity presents tools, processes, and frameworks to advance the overall concept that leveraging ideas from different locations in an organization and within extended networks is based on creativity, which can deliver innovation.

"Decision Systems and Non-stochastic Randomness" is the first systematic presentation and mathematical formalization (including existence theorems) of the statistical regularities of non-stochastic randomness. The results presented in this book extend the capabilities of probability theory by providing mathematical techniques that allow for the description of uncertain events that do not fit standard stochastic models. The book demonstrates how non-stochastic regularities can be incorporated into decision theory and information theory, offering an alternative to the subjective probability approach to uncertainty and the unified approach to the measurement of information. This book is intended for statisticians, mathematicians, engineers, economists or other researchers interested in non-stochastic modeling and decision theory.

In many countries, small businesses comprise over 95% of the proportion of private businesses and approximately half of the private workforce, with information technology being used in more than 90% of these businesses. As a result, governments worldwide are placing increasing importance upon the success of small business entrepreneurs and are providing increased resources to support this emphasis. Managing Information Technology in Small Business: Challenges and Solutions presents research in areas such as IT performance, electronic commerce, internet adoption, and IT planning methodologies and focuses on how these areas impact small businesses.

The purpose of the 3rd International Conference on Enterprise Information Systems (ICEIS) was to bring together researchers, engineers, and practitioners interested in the advances and business applications of information systems. The research papers published here have been carefully selected from those presented at the conference, and focus on real world applications covering four main themes: database and information systems integration; artificial intelligence and decision support systems; information systems analysis and specification; and internet computing and electronic commerce.

Audience: This book will be of interest to information technology professionals, especially those working on systems integration, databases, decision support systems, or electronic commerce. It will also be of use to middle managers who need to work with information systems and require knowledge of current trends in development methods and applications.

Integrity and Internal Control in Information Systems is a state-of-the-art book that establishes the basis for an ongoing dialogue between the IT security specialists and the internal control specialists so that both may work more effectively together to assist in creating effective business systems in the future. Building on the issues presented in the preceding volume of this series, this book seeks further answers to the following questions: What precisely do business managers need in order to have confidence in the integrity of their information systems and their data? What is the status quo of research and development in this area? Where are the gaps between business needs on the one hand and research/development on the other; what needs to be done to bridge these gaps? Integrity and Internal Control in Information Systems contains the selected proceedings of the Second Working Conference on Integrity and Internal Control in Information Systems, sponsored by the International Federation for Information Processing (IFIP) and held in Warrenton, Virginia, USA, in November 1998. It will be essential reading for academics and practitioners in computer science, information technology, business informatics, accountancy and edp-auditing.

Information Technology for Small Business: Managing the Digital Enterprise provides an overview of how small and medium business enterprises (SMEs) can use flexibility, agility, and anticipation strategies to better utilize information technology and knowledge management. Because small and medium businesses tend to be late technology adopters, they could miss versatile and strategic workforce advantages that enable them to achieve higher efficiency and effectiveness through technology.

This book shows these SMEs new technology trends that can transform the nature of their operations both in an evolutionary business path and through revolutionary opportunities. Information Technology for Small Business: Managing the Digital Enterprise applied correctly to small and medium business can be used as a strategic tool to reach growth and profit goals for the SMEs competing in a very dynamic and global marketplace. Examples include: identifying ways that IT can be used to develop strong relationships with customers and suppliers, and how to select the best technologies for business needs.

Information Technology for Small Business: Managing the Digital Enterprise targets SME owners, educators, and practitioners working in the related fields of management, IT, IS, and CS-related disciplines. Advanced-level students and policy makers focusing on SMEs will also find this book valuable in terms of main concepts for discussion.

A balanced and holistic approach to business analytics Business Analytics teaches the fundamental concepts of modern business analytics and provides vital tools in understanding how data analysis works in today's organisations. Author James Evans takes a fair and comprehensive, approach, examining business analytics from both descriptive and predictive perspectives. Students learn how to apply basic principles, communicate with analytics professionals, and effectively use and interpret analytic models to make better business decisions. And included access to commercial grade analytics software gives students real-world experience and career-focused value. As such, the 3rd Edition has gone through an extensive revision and now relies solely on Excel, enhancing students' skills in the program and basic understanding of fundamental concepts.

The book "Soft Computing for Business Intelligence "is the remarkable output of a program based on the idea of joint trans-disciplinary research as supported by the Eureka Iberoamerica Network and the University of Oldenburg.

It contains twenty-seven papers allocated to three sections" Soft Computing," "Business Intelligence and Knowledge Discovery," and "Knowledge Management and Decision Making." Although the contents touch different domains they are similar in so far as they follow the BI principle Observation and Analysis while keeping a practical oriented theoretical eye on sound methodologies, like Fuzzy Logic, Compensatory Fuzzy Logic (CFL), Rough Sets and other soft computing elements.

The book tears down the traditional focus on business, and extends Business Intelligence techniques in an impressive way to a broad range of fields like medicine, environment, wind farming, social collaboration and interaction, car sharing and sustainability. "

This guide is for practicing statisticians and data scientists who use IBM SPSS for statistical analysis of big data in business and finance. This is the first of a two-part guide to SPSS for Windows, introducing data entry into SPSS, along with elementary statistical and graphical methods for summarizing and presenting data. Part I also covers the rudiments of hypothesis testing and business forecasting while Part II will present multivariate statistical methods, more advanced forecasting methods, and multivariate methods. IBM SPSS Statistics offers a powerful set of statistical and information analysis systems that run on a wide variety of personal computers. The software is built around routines that have been developed, tested, and widely used for more than 20 years. As such, IBM SPSS Statistics is extensively used in industry, commerce, banking, local and national governments, and education. Just a small subset of users of the package include the major clearing banks, the BBC, British Gas, British Airways, British Telecom, the Consumer Association, Eurotunnel, GSK, TfL, the NHS, Shell, Unilever, and W.H.S. Although the emphasis in this guide is on applications of IBM SPSS Statistics, there is a need for users to be aware of the statistical assumptions and rationales underpinning correct and meaningful application of the techniques available in the package; therefore, such assumptions are discussed, and methods of assessing their validity are described. Also presented is the logic underlying the computation of the more commonly used test statistics in the area of hypothesis testing. Mathematical background is kept to a minimum.

In Decision Modelling And Information Systems: The Information Value Chain the authors explain the interrelationships between the decision support, decision modelling, and information systems. The authors borrow from Porter's value chain concept originally set out in the organizational context and apply it to a corporate IS context. Thus data, information and knowledge is seen to be the progressive value added process leading to business intelligence. The book captures key issues that are of central interest to decision support researchers, professionals, and students. The book sets out an interdisciplinary and contemporary view of Decision Support System (DSS).

The first two parts of the book focus on the interdisciplinary decision support framework, in which mathematical programming (optimization) is taken as the inference engine. The role of business analytics and its relationship with recent developments in organisational theory, decision modelling, information systems and information technology are considered in depth. Part three of the book includes a carefully chosen selection of invited contributions from internationally-known researchers. These contributions are thought-provoking and cover key decision modelling and information systems issues.

These chapters include: Arthur Geoffrion on restoring transparency to computational solutions, Bill Inmon on the concept of the corporate information factory, Louis Ma and Efraim Turban on strategic information systems, and Erik Thomsen on information impact and its relationship to the value of information technology.

The final part of the book covers contemporary developments in the related area of business intelligence considered within an organizational context. The topics cover computing delivered across the web, management decision-making, and socio-economic challenges that lie ahead. It is now well accepted that globalisation and the impact of digital economy are profound; and the role of e-business and the delivery of decision models (business analytics) across the net lead to a challenging business environment. In this dynamic setting, decision support is one of the few interdisciplinary frameworks that can be rapidly adopted and deployed to so that businesses can survive and prosper by meeting these new challenges.

In Sustaining Cultural Development, Biljana Mickov and James Doyle argue that effective programmes to promote greater participation in cultural life require substantial investment in research and strategic planning. Using studies from contributors throughout Europe, they look at ways to promote cultural life as the centre of the broader sustainable development of society. These studies illustrate how combining cultural identity, cultural diversity and creativity with increased participation of citizens in cultural life improves harmonized cultural development and promotes democracy. They indicate a shift from traditional governance of the cultural sector to a new, more horizontal, approach that links cultural workers at different levels in different sectors and different locations. This book will stimulate debate amongst cultural leaders, city managers and other policy makers, as well as serving as a resource for researchers and those teaching and learning on a range of post-graduate courses and programmes.

Putting capability management into practice requires both a solid theoretical foundation and realistic approaches. This book introduces a development methodology that integrates business and information system development and run-time adjustment based on the concept of capability by presenting the main findings of the CaaS project - the Capability-Driven Development (CDD) methodology, the architecture and components of the CDD environment, examples of real-world applications of CDD, and aspects of CDD usage for creating business value and new opportunities. Capability thinking characterizes an organizational mindset, putting capabilities at the center of the business model and information systems development. It is expected to help organizations and in particular digital enterprises to increase flexibility and agility in adapting to changes in their economic and regulatory environments. Capability management denotes the principles of how capability thinking should be implemented in an organization and the organizational means. This book is intended for anyone who wants to explore the opportunities for developing and managing context-dependent business capabilities and the supporting business services. It does not require a detailed understanding of specific development methods and tools, although some background knowledge and experience in information system development is advisable. The individual chapters have been written by leading researchers in the field of information systems development, enterprise modeling and capability management, as well as practitioners and industrial experts from these fields.

This book explores community dynamics within social media. Using Wikipedia as an example, the volume explores communities that rely upon commons-based peer production. Fundamental theoretical principles spanning such domains as organizational configurations, leadership roles, and social evolutionary theory are developed. In the context of Wikipedia, these theories explain how a functional elite of highly productive editors has emerged and why they are responsible for a majority of the content. It explains how the elite shapes the project and how this group tends to become stable and increasingly influential over time. Wikipedia has developed a new and resilient social hierarchy, an adhocracy, which combines features of traditional and new, online, social organizations. The book presents a set of practical approaches for using these theories in real-world practice. This work fundamentally changes the way we think about social media leadership and evolution, emphasizing the crucial contributions of leadership, of elite social roles, and of group global structure to the overall success and stability of large social media projects. Written in an accessible and direct style, the book will be of interest to academics as well as professionals with an interest in social media and commons-based peer production processes.

This third volume in the series deals with such topics as information systems practice and theory, information systems and the accounting/auditing environment, and differing perspectives on information systems research.

Emerging business models, value configurations, and information technologies interact over time to create competitive advantage. Modern information technology has to be studied, understood, and applied along the time dimension of months and years, where changes are the rule. Such changes created by interactions between business elements and resources are very well suited for system dynamics modeling. ""Business Dynamics in Information Technology"" presents business-technology alignment processes, interaction processes, and decision processes, helping the reader study information technology from a dynamic, rather than a static, perspective. By introducing two simple tools from system dynamic modeling - causal loops and reference modes - the dynamic perspective will become important to both students and practitioners in the future.

Requirements engineering has since long acknowledged the importance of the notion that system requirements are stakeholder goals-rather than system functions-and ought to be elicited, modeled and analyzed accordingly. In this book, Nurcan and her co-editors collected twenty contributions from leading researchers in requirements engineering with the intention to comprehensively present an overview of the different perspectives that exist today, in 2010, on the concept of intention in the information systems community. These original papers honor Colette Rolland for her contributions to this field, as she was probably the first to emphasize that 'intention' has to be considered as a first-class concept in information systems engineering. Written by long-term collaborators (and most often friends) of Colette Rolland, this volume covers topics like goal-oriented requirements engineering, model-driven development, method engineering, and enterprise modeling. As such, it is a tour d'horizon of Colette Rolland's lifework, and is presented to her on the occasion of her retirement at CaISE 2010 in Hammamet, the conference she once cofounded and which she helped to grow and prosper for more than 20 years.

This book explores coordination within and between teams in the context of large-scale agile software development, providing readers a deeper understanding of how coordinated action between teams is achieved in multiteam systems. An exploratory multiple case study with five multiteam systems and a total of 66 interviewees from development teams at SAP SE is presented and analyzed. In addition, the book explores stereotypes of coordination in large-scale agile settings and shares new perspectives on integrating conditions for coordination. No previous study has researched this topic with a similar data set, consisting of insights from professional software development teams. As such, the book will be of interest to all researchers and practitioners whose work involves software product development across several teams.

The success of an enterprise today is dependent upon its information system, which comprises Enterprise Resource Planning (ERP), Supply Chain Management (SCM), and Customer Relationship Management (CRM). Disruption of Enterprise Information Systems (EIS), even for a short period of time, can cause large problems for business operations. Enterprise Information Systems and Implementing IT Infrastructures: Challenges and Issues aims at identifying potential research problems and issues in EIS, allowing research scholars and practitioners to develop suitable strategies and operational policies for EIS, thus improving communication within organizations. The cutting-edge research discussed in this book intends to spark the discussion of new ideas and developments in the field of EIS amongst researchers and practitioners.

Recent achievements in hardware and software developments have enabled the introduction of a revolutionary technology: in-memory data management. This technology supports the flexible and extremely fast analysis of massive amounts of data, such as diagnoses, therapies, and human genome data. This book shares the latest research results of applying in-memory data management to personalized medicine, changing it from computational possibility to clinical reality. The authors provide details on innovative approaches to enabling the processing, combination, and analysis of relevant data in real-time. The book bridges the gap between medical experts, such as physicians, clinicians, and biological researchers, and technology experts, such as software developers, database specialists, and statisticians. Topics covered in this book include - amongst others - modeling of genome data processing and analysis pipelines, high-throughput data processing, exchange of sensitive data and protection of intellectual property. Beyond that, it shares insights on research prototypes for the analysis of patient cohorts, topology analysis of biological pathways, and combined search in structured and unstructured medical data, and outlines completely new processes that have now become possible due to interactive data analyses.