E-Business covers a broad spectrum of businesses based on the Internet, including e-commerce, e-healthcare, e-government and e tailing. While substantial attention is being given to the planning and development of e-business applications, the efficiency and effectiveness of e-business systems will largely depend on management solutions. These management solutions demand a good grasp of both the technical and business perspectives of an e-business service. There have been many books on the Internet based on e-commerce, Internet protocols, distributed components etc. However, none of these books address the problem of managing e business as a set of networked services. They do not link enterprise management with network and systems management. This book provides an overview of the emerging techniques for IT service management from a business perspective with case studies from telecommunication and healthcare sectors. It integrates the business perspective with relevant technical standards, such as SNMP, WBEM and DMI. This book presents some concepts and methodologies that enable the development of effective and efficient management systems for networked services. The book is intended to familiarize practicing managers, engineers, and graduate level students with networked service management concepts, architectures and methodologies with reference to evolving standards. It should be useful in a number of disciplines, such as business management, information systems, computers and networking, and telecommunications.

Appendix 2 is based on TeleManagement (TM) Forum's documents on TOM (GB921, GB910 and GB908). While this appendix has explained the basic management concept of an e-telco, TMForum now recommends the use of eTOM as explained in www.tmforum.com. An overview of eTOM is available in the report The TeleManagement Forum's enhanced Telecom Operations Map (eTOM) by Michael Kelly appearing in the Journal of Network and Systems Management in March 2003.

Steel Phoenix: The Fall and Rise of the U.S. Steel Industry is a remarkable story. Christopher Hall recounts the great downfall of "Big Steel" in America and the emergence of a new, reinvented steel industry from the ashes of the old. Beginning with the failures of Big Steel to respond to a changing world, Christopher Hall analyzes the powers and drives behind this "most basic" of industries, revealing how the "Rust Belt" of the 1970s and 1980s was created and how the death of the traditional steel industry devastated cities such as Pittsburgh, Cleveland, and Youngstown. Hall then examines how pioneering entrepreneurs and engineers rebuilt the industry by recycling large supplies of scrap steel, giving way to a minimill industry that ultimately saved what was left of the old Big Steel mills.

How do people in organizations get the information they need to do their work, and what are the effects of their research --positive and negative--on their organizations? Indeed, says the author of this unique, provocative study, the forces that promote ignorance within organizations often outweigh the drive to obtain knowledge. Johnson explores both sides of the information-seeking dilemma, the reasons why people do and do not look for and get the information they need--and why the multi-billion-dollar technologies that have been developed to facilitate information gathering so often fail. Research-based, with a model to explain how information seeking works in organizations, Dr. Johnson's book will be fascinating, essential reading not only for gatherers of information in all types of organizations, but for the purveyors, their technological support staffs.

The study of information seeking is one of great pragmatic importance for individuals, organizations, and our society. It is also one that is more complex than it might at first appear, presenting many dilemmas for the organization. Chapter 1 provides a basic overview of the importance of information seeking and a definition. Chapter 2 describes the more general communication structure of organizations in which individual information seeking is embedded. While traditional views of structure were based on the need to restrict information access in order to reduce information load, more modern views try to capture how organizations can process ever larger volumes of information. Chapter 3 describes the information fields outside of the organization. Chapter 4 develops a more complete picture of the information carriers that individuals have to select from. Chapter 5 describes the barriers to information seeking which often result from the real benefits of ignorance for both individuals and organizations. Chapter 6 details strategies individuals can use in their search for information. Chapter 7 discusses what management can do to facilitate a seeker's search for information. In summary, Chapter 8 weaves all of the themes of the book together in discussing the importance of the development of a theory of information seeking and the pragmatic implications of information seeking for our society as a whole.

Trust is a fundamental concept in modern society. This book provides current findings of trust research from various disciplines: communication studies, information systems, educational and organizational psychology, sports psychology and economics. The volume analyses how trust relationships have changed and are still changing under the influence of digitalization. In addition to presenting the current state of research, the implications for trust relationships in the digital world are examined. The book brings together empirical findings with the implications for media, business, sports and science. It is of value to interdisciplinary researchers and graduate students.

This book is based on the work of the YEEES Research Centre, an international network of scientists from partner universities in Germany, Mozambique, Namibia and South Africa. It presents inter- and transdisciplinary research that explores different ways of understanding resilience, an essential characteristic for systems, organizations and people - providing them with strength in the face of attacks and challenges, and both enabling and fostering constant adaptation and improvement. Building resilience to face today's ever-changing societal and environmental realities requires unbiased research activities that transcend the borders of countries and academic disciplines alike. The research addressed in this book, thus, is multidisciplinary and includes contributions to areas such as sustainable agriculture, entrepreneurial ecosystems, and smart communities, as well as groundbreaking work on skills development and ICT education. Highlighting the variety of research activities and their outcomes, this book offers a valuable resource for researchers and practitioners in the fields of sustainable resilience development.

This book offers postgraduate and early career researchers in accounting and information systems a guide to choosing, executing and reporting appropriate data analysis methods to answer their research questions. It provides readers with a basic understanding of the steps that each method involves, and of the facets of the analysis that require special attention. Rather than presenting an exhaustive overview of the methods or explaining them in detail, the book serves as a starting point for developing data analysis skills: it provides hands-on guidelines for conducting the most common analyses and reporting results, and includes pointers to more extensive resources. Comprehensive yet succinct, the book is brief and written in a language that everyone can understand - from students to those employed by organizations wanting to study the context in which they work. It also serves as a refresher for researchers who have learned data analysis techniques previously but who need a reminder for the specific study they are involved in.

In this book, the authors analyze big data on global interdependence caused by the flows of commodities, money, and people, using a network science approach to obtain differing views of globalization and to clarify the facts on isolation of communities. Globalization reduces international economic inequality, i.e., it allows emerging countries to catch up while it increases relative poverty in some advanced countries. How should this trade-off between international and domestic inequalities be resolved? At the same time, the reduction of biocultural diversity caused by globalization needs to be avoided. What kind of change is required in local communities to conserve biocultural diversity? On the issue of commodity flow, research results of the supply-chain network, isolation in industry, and resource flows and stocks are presented in this book. For monetary flow, ownership networks, value-added networks, and profit shifting were studied; and regarding the flow of people, linkage of ethnic groups, immigrant assimilation, and refugees were examined. Based on the resulting view of globalization and isolation, the development of the isolation index using machine learning is discussed. Finally, recommendations for evidence-based policymaking in the United Nations are considered.

For graduate and executive level MIS students, and practicing IS managers. A thorough and practical guide to IT management practices and issues. Managing Information Technology provides comprehensive coverage of IS management practices and technology trends for advanced students and managers. Through an approach that offers up-to-date chapter content and full-length case studies, this text presents a unique set of materials that educators can customize to their students' needs. The sixth edition has been thoroughly updated and streamlined to reflect current IS practices.

Advanced Topics in Global Information Management includes original material concerned with all aspects of global information management in three broad areas: Global Information Systems in Business Fuctions, Information Technology in Specific Regions of the World, Management of Global Information Resources and Applications. Both researchers and practitioners disseminate the evolving knowledge in these broad categories and the book examines a variety of aspects of global information management dealing with development, usage, failure, success, policies, strategies and applications of this valuable organizational resources.

This book presents the latest research on the statistical analysis of functional, high-dimensional and other complex data, addressing methodological and computational aspects, as well as real-world applications. It covers topics like classification, confidence bands, density estimation, depth, diagnostic tests, dimension reduction, estimation on manifolds, high- and infinite-dimensional statistics, inference on functional data, networks, operatorial statistics, prediction, regression, robustness, sequential learning, small-ball probability, smoothing, spatial data, testing, and topological object data analysis, and includes applications in automobile engineering, criminology, drawing recognition, economics, environmetrics, medicine, mobile phone data, spectrometrics and urban environments. The book gathers selected, refereed contributions presented at the Fifth International Workshop on Functional and Operatorial Statistics (IWFOS) in Brno, Czech Republic. The workshop was originally to be held on June 24-26, 2020, but had to be postponed as a consequence of the COVID-19 pandemic. Initiated by the Working Group on Functional and Operatorial Statistics at the University of Toulouse in 2008, the IWFOS workshops provide a forum to discuss the latest trends and advances in functional statistics and related fields, and foster the exchange of ideas and international collaboration in the field.

Objects Through Relations: The ADOORE Approach; M. Kopecky, J. Pokorny. Object-Oriented Information Technologies; Y.-W. Chiou. Use of Object-Orientation for Information Systems Development in Software Companies in Finland: A Proposal for Study; P. Paetau. A Feature-Based Approach for Consistent Object-Oriented Requirements Specification; K.S. Cheung, et al. Creativity, Group Support Systems, and Systems Development; M. Nagasundaram. Team Support for Software Development; D. Vogel, et al. Modeling the Dynamics of Cooperative Work Arrangements; B. Krogh. Systems Integration in a Co-operative Society;J. Vorisek, J. Pour. Failure Analysis in Information Systems Design; H. Linger, et al. Problems Associated with Cost/Benefit Analysis for Strategic Information Systems; E. Stickel. Objectives and Reality: User Participation in Information System Development; M. Kirveennummi. Systems Development Methodologies: Time to Advance the Clock; B. Fitzgerald. The Software Evolution Process, its Global Improvement, and the Perceived Efficacy of Process Assessment Schemes as Improvement Drivers; E.M. Gray, W.L. Smith. How Shared is Shared Understanding in Information Requirements Determination?; J. McKay, et al. 31 Additional Articles. Index.

This book addresses major challenges faced by farmers and the technological solutions based on Internet of Things (IoT). A major challenge in agriculture is cultivating and supplying high-quality produce at the best. Currently, around 50% of global farm produce never reaches the end consumer due to wastage and suboptimal prices. The book presents solutions that reduce the transport costs, improve the predictability of prices based on data analytics and the current market conditions, and reduce the number of middle steps and agents between the farmer and the end consumer. It discusses the design of an IoT-based monitoring system to analyze crop environments and a method to improve the efficiency of decision-making by analyzing harvest statistics. Further, it explores climate-smart methods, known as smart agriculture, that have been adopted by a number of Indian farmers.

Enterprise Modeling and Computing with UML bridges two fields that are closely related, but are often studied in isolation: enterprise modeling and information systems modeling. The principal idea is to use a standard language for modeling information systems, UML, as a catalyst, and investigate its potential for modeling enterprises. ""Enterprise Modeling and Computing with UML"" shows both the potential and the limit of using UML in an enterprise modeling context and a broad spectrum of ideas for aligning the development of information systems with the management of an enterprise.

This book offers a multidisciplinary resource on digital government, while specifically focusing on its role within the emerging market of India. The Government of India (GoI) is concentrating on transforming India under the Digital India initiative. In order to do so, it has emphasized three core areas: (1) Computing infrastructure as a utility to every citizen; (2) Governance and services on demand; and (3) Digital empowerment of citizens. The chapters in this book address issues surrounding these areas, highlighting concepts such as knowledge societies, urban operations and logistics, issues in managing emergent Information Communication Technologies (ICTs), and also smart analytics for urbanization. The chapters contribute to the theory, practice and policy for a "Digital India." The book captures lessons, knowledge, experiences (about challenges, drivers, antecedents, etc.) and best practices emerging from implementation of various projects. While the book is dedicated to a "Digital India," this book can also be valuable resource for public administrators, government officials and researchers in other emerging markets and developing countries in Asia, Africa and Latin America where similar socio-political and economic conditions exist.

This book aims to equip those in, or entering business to assess the opportunities, limitations and major issues surrounding modern business information systems and to appreciate the way that information systems can aid the realization of business objectives. This book provides students with: good technical coverage, accessible coverage for both business students and computing students, interesting case studies, including a running case throughout the systems development chapters, showing real world application of ideas and technologies, European context and examples PowerPoint slides and additional test questions for Lecturers online. New to this edition? Chapters 10-15 on Systems Development, Analysis and Design have been replaced by new chapters taking an object oriented approach. The structured approach is still summarised in chapter 16 and the content from the previous edition is included in full online in the Companion Website. Case studies, questions and activities have been updated throughout. An introduction or increased focus on current topics such as globalisation, agile methods, E-Business, security and trust, off the shelf solutions, CRM, legacy systems integration, business intelligence, data warehousing and data mining.

This text focuses on the use of smoothing methods for developing and estimating differential equations following recent developments in functional data analysis and building on techniques described in Ramsay and Silverman (2005) Functional Data Analysis. The central concept of a dynamical system as a buffer that translates sudden changes in input into smooth controlled output responses has led to applications of previously analyzed data, opening up entirely new opportunities for dynamical systems. The technical level has been kept low so that those with little or no exposure to differential equations as modeling objects can be brought into this data analysis landscape. There are already many texts on the mathematical properties of ordinary differential equations, or dynamic models, and there is a large literature distributed over many fields on models for real world processes consisting of differential equations. However, a researcher interested in fitting such a model to data, or a statistician interested in the properties of differential equations estimated from data will find rather less to work with. This book fills that gap.

Managers and executives know the importance of integrating business strategy and IT strategy for competitive advantage. Via numerous real-world examples and anecdotes, this book investigates myriad issues regarding the application of business strategy and IT strategy. Specifically, it focuses on how business/IT alignment is assessed, the factors that aid or hinder its integration, a maturity assessment and way in which managers can implement strategic information systems within their firms using various constructs and models. Strategic Information Technology: Opportunities for Competitive Advantage provides managers with an understanding and appreciation for the development of business and information technologies strategies to yield competitive advantage.

This book is an outcome of the 33rd International Conference EnviroInfo 2019, held at the University of Kassel, Germany. It presents a selection of papers that describe innovative scientific approaches and ongoing research in environmental informatics and the emerging field of computational sustainability. The respective articles cover a broad range of scientific aspects including advances in core technologies such as earth observation, environmental modelling, big data and machine learning, as well as applications of ICT solutions intended to support societal transformation processes toward the more sustainable management of resource use, transportation and the energy supply. Given its scope, the book is essential reading for scientists, experts and students in these fields of research.

This book analyses the role of Enterprise Resource Planning (ERP) and Business Intelligence (BI) systems in improving information quality through an empirical analysis carried out in Italy. The study begins with a detailed examination of ERP features that highlights the advantages and disadvantages of ERP adoption. Critical success factors for ERP implementation and post-implementation are then discussed, along with the capabilities of ERP in driving the alignment between management accounting and financial accounting information.The study goes on to illustrate the features of BI systems and to summarize companies' needs for BI. Critical success factors for BI implementation are then presented, along with the BI maturity model and lifecycle. The focus of the research entails a detailed empirical analysis in the Italian setting designed to investigate the role played by ERP and BI systems in reducing information overload/underload and improving information quality by influencing the features of information flow. The practical and theoretical implications of the study are discussed and future avenues of research are suggested. This book will be of value for all those who have an interest in the capacities of ERP and BI systems to enhance business information quality.

This book provides an overview of predictive methods demonstrated by open source software modeling with Rattle (R') and WEKA. 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. 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 prescriptive 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 data types. Chapter 3 covers fundamentals time series modeling tools, and Chapter 4 provides demonstration of multiple regression modeling. Chapter 5 demonstrates regression tree modeling. Chapter 6 presents autoregressive/integrated/moving average models, as well as GARCH models. Chapter 7 covers the set of data mining tools used in classification, to include special variants support vector machines, random forests, and boosting. 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.

At a time when many companies, particularly in the technological field, are continuously laying off workers, SAP, Inc. and organizations using the Enterprise Resource Planning (ERP) and SAP concepts and software packages, on the other hand, are in need of more IT professionals familiar with their software applications. Although the popularity of ERP/SAP has reached an all-time high, there are not many studies available in this field. Therefore, the primary objective of this book is to provide both practitioners and academicians with a comprehensive review and an in-depth understanding of this interesting area, and at the same time, to address some of the important issues relating to the successful implementation of ERP/SAP systems. The scope of coverage in this book would expand from the history of SAP to the availability of a strategic implementation plan to ensure the successful and effective deploration of the implementation approach.

Over the past two decades, the government sector has emerged as the area of largest implementation of enterprise architecture - a critical success factor for all types, scales, and intensities of e-government programs. Advances in Government Enterprise Architecture is a seminal publication in the emerging and evolving discipline of enterprise architecture (EA). Presenting current developments, issues, and trends in EA, this critical resource provides IT managers, government CIOs, researchers, educators, and professionals with insights into the impact of effective EA on IT governance, IT portfolio management, and IT outsourcing, creating a must-have holding for academic libraries and organizational information centers.

This book demonstrates the use of a wide range of strategic engineering concepts, theories and applied case studies to improve the safety, security and sustainability of complex and large-scale engineering and computer systems. It first details the concepts of system design, life cycle, impact assessment and security to show how these ideas can be brought to bear on the modeling, analysis and design of information systems with a focused view on cloud-computing systems and big data analytics. This informative book is a valuable resource for graduate students, researchers and industry-based practitioners working in engineering, information and business systems as well as strategy.

While advances in information technology and the adoption of Internet as service delivery channels have enabled financial service institutions to provide more convenient assistance, they have diversified and complicated the nature of risks involved.Managing Information Assurance in Financial Services provides high-quality research papers and industrial practice articles in the areas of information security in the financial service industry. Managing Information Assurance in Financial Services provides insight into current information security measures, including: technology, processes, and compliance from some of the leading researchers and practitioners in the field. This book provides immense scholarly value and contribution in the areas of information technology, security, finance, and service.