This book discusses the application of data systems and data-driven infrastructure in existing industrial systems in order to optimize workflow, utilize hidden potential, and make existing systems free from vulnerabilities. The book discusses application of data in the health sector, public transportation, the financial institutions, and in battling natural disasters, among others. Topics include real-time applications in the current big data perspective; improving security in IoT devices; data backup techniques for systems; artificial intelligence-based outlier prediction; machine learning in OpenFlow Network; and application of deep learning in blockchain enabled applications. This book is intended for a variety of readers from professional industries, organizations, and students.

Statistical Modeling using Local Gaussian Approximation extends powerful characteristics of the Gaussian distribution, perhaps, the most well-known and most used distribution in statistics, to a large class of non-Gaussian and nonlinear situations through local approximation. This extension enables the reader to follow new methods in assessing dependence and conditional dependence, in estimating probability and spectral density functions, and in discrimination. Chapters in this release cover Parametric, nonparametric, locally parametric, Dependence, Local Gaussian correlation and dependence, Local Gaussian correlation and the copula, Applications in finance, and more. Additional chapters explores Measuring dependence and testing for independence, Time series dependence and spectral analysis, Multivariate density estimation, Conditional density estimation, The local Gaussian partial correlation, Regression and conditional regression quantiles, and a A local Gaussian Fisher discriminant.

This open access book presents an overview and step-by-step explanation of process management. It starts with the individual participants' perspectives on their work in a process and its structuring and harmonization, and then moves on to its specification in a model and how it is embedded in the organizational and IT environment of the company. Lastly, the book examines the joint processing of instances in the resulting socio-technical systems. A corresponding illustration, which expands with the overview, enables readers to gain a comprehensive understanding of business process management. The book presents various facets of business process management from the perspective of the participants, and introduces a selection of models that have proved useful in practice. The design of such models supports the transition from a more-or-less unstructured or unsatisfactory way of working to a structured process that corresponds to the ideas of the company and its customers. The book is intended for professionals in industry as well as students in the field of business information systems who are looking for guidelines on how to discover, create and implement real-world processes.

This book constitutes the refereed proceedings of the 8th European Lean Educator Conference ELEC 2022, which took place in Galway, Ireland, in November 2022; the event was sponsored by IFIP WG 5.7. The 28 full papers presented were carefully reviewed and selected for inclusion in the proceedings. They are organized in the following thematic sections: Lean & People; Lean in Healthcare; Lean 4.0; Lean in Manufacturing; Lean Learning in the Digital Era; Lean, Green & Sustainability; and Lean in Services.

* Provides a step-by-step guide for completing a successful student consulting project, which should be essential reading for specific experiential Business Consulting modules, as well as recommended reading for students studying Small Business Management and Strategic Management at postgraduate and MBA level. * Fully updated 6th edition, including new tools and resources, new real-life examples, material on technologies and remote working, and a focus on student employability. * Promotes a conceptual understanding of the consulting process.

Business Process Management (BPM) has been in existence for decades. It uses, complements, integrates and extends theories, methods and tools from other scientific disciplines like: strategic management, information technology, managerial accounting, operations management etc. During this period the main focus themes of researchers and professionals in BPM were: business process modeling, business process analysis, activity based costing, business process simulation, performance measurement, workflow management, the link between information technology and BPM for process automation etc. More recently the focus moved to subjects like Knowledge Management, Enterprise Resource Planning (ERP) Systems, Service Oriented Architectures (SOAs), Process Intelligence (PI) and even Social Networks. In this collection of papers we present a review of the work and the outcomes achieved in the classic BPM fields as well as a deeper insight on recent advances in BPM. We present a review of business process modeling and analysis and we elaborate on issues like business process quality and process performance measurement as weel as their link to all other organizational aspects like human resources management, strategy, information technology (being SOA, PI or ERP), other managerial systems, job descriptions etc. We also present recent advances to BPR tools with special focus on information technology, workflow, business process modeling and human resources management tools. Other chapters elaborate on the aspect of business process and organizational costing and their relationship to business process analysis, organizational change and reorganization. In the final chapters we present some new approaches that use fuzzy cognitive maps and a recently developed software tool for scenario creation and simulation in strategic management, business process management, performance measurement and social networking.

The audience of this book is quite wide. The first chapters can be read by professionals, academics and students who want to get some basic insight into the BPM field whereas the remaining present more elaborate and state of the art concepts methodologies and tools for an audience of a more advanced level."

Agile/virtual enterprise (A/VE) is seen as a new and most advanced organizational paradigm, and is expected to serve as a vehicle towards a seamless perfect alignment of the enterprise within the market. ""Agile Virtual Enterprises: Implementation and Management Support"" addresses A/VE as a highly dynamic, reconfigurable agile network of independent enterprises sharing all resources, including knowledge, market, and customers; using specific organizational architectures that introduce the enterprises' true virtual environments.

This book explores the employment of market mechanisms for data-interactive innovations. Based on the concept of innovators' marketplaces the book introduces a new concept of 'data jackets' to enable analysis of what kind of data exist, where they are located, and what kind of information they hold, even if the contents of data cannot be made publicly available.The book presents the concept of a marketplace for data in the case of data-interactive innovations. It introduces the marketplace as a platform for value-based exchange of data and - based on the idea of the innovators' marketplace - explains how data jackets can be utilized independently from the actual contents of the data. Specific chapters deepen the understanding of variables, constraints and intentions as constituent parts of data jackets, and the extension to variable quest, a process towards the design of data. A number of case studies showcases how the methods and processes presented can be employed in real-life contexts. Finally the authors present some extensions of the concept for web-based IMDJ and connections to business information system and an outlook.

This book discusses understand cybersecurity management in decentralized finance (DeFi). It commences with introducing fundamentals of DeFi and cybersecurity to readers. It emphasizes on the importance of cybersecurity for decentralized finance by illustrating recent cyber breaches, attacks, and financial losses. The book delves into understanding cyber threats and adversaries who can exploit those threats. It advances with cybersecurity threat, vulnerability, and risk management in DeFi. The book helps readers understand cyber threat landscape comprising different threat categories for that can exploit different types of vulnerabilities identified in DeFi. It puts forward prominent threat modelling strategies by focusing on attackers, assets, and software. The book includes the popular blockchains that support DeFi include Ethereum, Binance Smart Chain, Solana, Cardano, Avalanche, Polygon, among others. With so much monetary value associated with all these technologies, the perpetrators are always lured to breach security by exploiting the vulnerabilities that exist in these technologies. For simplicity and clarity, all vulnerabilities are classified into different categories: arithmetic bugs, re-Entrancy attack, race conditions, exception handling, using a weak random generator, timestamp dependency, transaction-ordering dependence and front running, vulnerable libraries, wrong initial assumptions, denial of service, flash loan attacks, and vampire Since decentralized finance infrastructures are the worst affected by cyber-attacks, it is imperative to understand various security issues in different components of DeFi infrastructures and proposes measures to secure all components of DeFi infrastructures. It brings the detailed cybersecurity policies and strategies that can be used to secure financial institutions. Finally, the book provides recommendations to secure DeFi infrastructures from cyber-attacks.

This proceedings volume explores the disruptive effect of COVID19 pandemic on business leaders and managers. It covers the sweeping changes experienced by all sectors of work and business along with core functional verticals. As organizations institutionalize lessons learned through trial and error, an effort is required to document these efforts. The volume is an amalgamation of papers presented papers at the International Management Conference, 2021 hosted at KIIT University, India in February 2021. The thrust of this conference was to gather a holistic picture of the lessons derived during the pandemic hardship. Selected papers provide readers with an idea of the new normal in various domains of management across industries and organizations. Research papers, from each functional areas of business management, give focus on experiences and best practices.

For two-semester courses in Finite Math & Applied Calculus or Mathematics for Business. This package includes MyLab. Helps students "get the idea." College Mathematics for Business, Economics, Life Sciences, and Social Sciences, 14th Edition offers more built-in guidance than any other text for this course - with special emphasis on applications and prerequisite skills - and a host of student-friendly features to help students catch up or learn on their own. Its emphasis on helping students "get the idea" is enhanced in the new edition by a design refresh, updated data and applications, and a robust MyLab (TM) Math course. The text is organized into three parts: A Library of Elementary Functions (Chapter 1), Finite Mathematics (Chapters 2-7, 14), and Calculus (Chapters 8-13). Reach every student by pairing this text with MyLab Math MyLab (TM) is the teaching and learning platform that empowers you to reach every student. By combining trusted author content with digital tools and a flexible platform, MyLab personalizes the learning experience and improves results for each student. MyLab Math should only be purchased when required by an instructor. Please be sure you have the correct ISBN and Course ID. Instructors, contact your Pearson representative for more information.

This book focuses on the implications of digitalisation in the mobility service industry. Based on an analysis of more than 450 survey responses, it explores and assesses mobility in the age of digitalisation. The content covers both changes in the relationship between the company and its customers and a potential paradigm shift among leading companies. The findings suggest that a shift from traditional mobility management to a more customer-centred management perspective is both widely accepted and increasingly necessary. Nevertheless, the inclusion of services that are not primarily concerned with overcoming spatial distances is considered to be less attractive. Given its scope, the book will be of interest to researchers and professionals who are involved in digitalisation in the mobility service industry.

This book is an outcome of the 35th International Conference EnviroInfo 2021, held at Humboldt University Berlin, organized by the technical committee for Environmental Informatics of the German Informatics Society. It presents a selection of papers that describe innovative scientific approaches and ongoing research in environmental informatics and the emerging field of environmental sustainability, promoted and facilitated by the use of information and communication technologies (ICT). The respective articles cover a broad range of scientific aspects including advances in core environmental informatics-related technologies such as earth observation, environmental modelling, big data and machine learning, robotics, smart agriculture and food solutions, renewable energy-based solutions, optimization of infrastructures, sustainable industrial processes and citizen science, as well as applications of ICT solutions intended to support societal transformation processes toward the more sustainable management of resource use, transportation and energy supplies. A special focus lies on the question how environmental informatics can contribute to achieving the United Nations Sustainable Development Goals. Given its scope, the book is essential reading for scientists, experts and students in these fields of research.

The inspiration for this book came from the Industrial Session of the ISMIS 2017 Conference in Warsaw. It covers numerous applications of intelligent technologies in various branches of the industry. Intelligent computational methods and big data foster innovation and enable the industry to overcome technological limitations and explore the new frontiers. Therefore it is necessary for scientists and practitioners to cooperate and inspire each other, and use the latest research findings to create new designs and products. As such, the contributions cover solutions to the problems experienced by practitioners in the areas of artificial intelligence, complex systems, data mining, medical applications and bioinformatics, as well as multimedia- and text processing. Further, the book shows new directions for cooperation between science and industry and facilitates efficient transfer of knowledge in the area of intelligent information systems.

This book examines the recent evolution of the concept of data as an economic and managerial phenomenon. The author first describes and discusses open data and then introduces the concept of linked data, with a focus on assets for reuse. Furthermore, he addresses the main challenges of big data. Value is identified as the main incentive for the adoption of linked data; accordingly, the next two chapters study sources of data value from a macroeconomic and micro economic perspective, respectively. This contributes to the systematization of important issues at the crossroads of enterprise data and data sharing: data ownership, personal data, and data privacy. In turn, the book reveals the role of innovation as a main vehicle for creating value by unifying big, open, and linked data. It studies the ways in which value can be created, transferred, and captured in the form of business models, before the closing chapter verifies the data unification model by combining open and linked geographical data with big data from a major telecom company.

Research and Practical Issues of Enterprise Information Systems II, Volume 2 presents work from the IFIP TC 8 WG 8.9 International Conference on the Research and Practical Issues of Enterprise Information Systems (CONFENIS 2007).

Enterprise information systems (EIS) have become increasingly popular over the last 15 years. EIS integrate and support business processes across functional boundaries in a supply chain environment. In recent years, more and more enterprises world-wide have adopted EIS such as Enterprise Resource Planning (ERP) for running their businesses. Previously, information systems such as CAD, CAM, MRPII and CRM were widely used for partial functional integration within a business organization. With global operation, global supply chain, and fierce competition in place, there is a need for suitable EIS such as ERP, E-Business or E-Commerce systems to integrate extended enterprises in a supply chain environment with the objective of achieving efficiency, competency, and competitiveness. As an example, the global economy has forced business enterprises such as Dell and Microsoft to adopt ERP in order to take the advantage of strategic alliances within a global supply chain environment. Today, not only the large companies, but also the medium companies are quickly learning that a highly integrated EIS is more and more a required element of doing business. Businesses all over the world are investing billions of dollars in acquiring and implementing EIS in particular ERP systems by SAP and Oracle. As a result, there is a growing demand for researching EIS to provide insights into challenges, issues, and solutions related to the design, implementation and management ofEIS.

Information systems are the backbone of many of today's computerized applications. Distributed databases and the infrastructure needed to support them have been well studied. However, this book is the first to address distributed database interoperability by examining the successes and failures, various approaches, infrastructures, and trends of the field. A gap exists in the way that these systems have been investigated by real practitioners. This gap is more pronounced than usual, partly because of the way businesses operate, the systems they have, and the difficulties created by systems' autonomy and heterogeneity. Telecommunications firms, for example, must deal with an increased demand for automation while at the same time continuing to function at their current level. While academics are focusing on investigating differences between distributed databases, federated databases, heterogeneous databases, and, more generally, among loosely connected and tightly coupled systems, those who have to deal with real problems right away know that the only relevant research is the one that will ensure that their system works to produce reasonably correct results. Interconnecting Heterogeneous Information Systems covers the underlying principles and infrastructures needed to realize truly global information systems. The book discusses technologies related to middleware, the Web, workflows, transactions, and data warehousing. It also overviews architectures with a discussion of critical issues. The book gives an overview of systems that can be viewed as learning platforms. While these systems do not translate to successful commercial realities, they push the envelope in terms of research. Successful commercial systems have benefited from the experiments conducted in these prototypes. The book includes two case studies based on the authors' own work. Interconnecting Heterogeneous Information Systems is suitable as a textbook for a graduate-level course on Interconnecting Heterogeneous Information Systems, as well as a secondary text for a graduate-level course on database or information systems, and as a reference for researchers and practitioners in industry.

This book presents a framework for developing an analytics strategy that includes a range of activities, from problem definition and data collection to data warehousing, analysis, and decision making. The authors examine best practices in team analytics strategies such as player evaluation, game strategy, and training and performance. They also explore the way in which organizations can use analytics to drive additional revenue and operate more efficiently. The authors provide keys to building and organizing a decision intelligence analytics that delivers insights into all parts of an organization. The book examines the criteria and tools for evaluating and selecting decision intelligence analytics technologies and the applicability of strategies for fostering a culture that prioritizes data-driven decision making. Each chapter is carefully segmented to enable the reader to gain knowledge in business intelligence, decision making and artificial intelligence in a strategic management context.

This open access book examines the implications of internal crowdsourcing (IC) in companies. Presenting an employee-oriented, cross-sector reference model for good IC practice, it discusses the core theoretical foundations, and offers guidelines for process-management and blueprints for the implementation of IC. Furthermore, it examines solutions for employee training and competence development based on crowdsourcing. As such, the book will appeal to scholars of management science, work studies, organizational and participation research and to readers interested in inclusive approaches for cooperative change management and the IT implications for IC platforms.

Amid the COVID-19 pandemic, small businesses are especially vulnerable. This is one of the first books that explicitly examines the linkage between crisis and entrepreneurship with a specific focus on small businesses. The book adopts a holistic approach and outlines strategies that small business owners can utilize as well as business opportunities that are available in these new market conditions. It also provides a comparative analysis of the current and future market conditions to enable a better understanding of how institutional structures can facilitate or hinder growth. The book also goes on to explain why and how creativity and innovation can help to mitigate the impact of such a crisis on business and highlights why business continuity is especially crucial to family-owned businesses. This timely publication will help to guide small business owners and entrepreneurs to maintain business continuity and build up their resilience in a challenging business climate.

This book examines the changing business and economic environment for postal services in Lithuania and the upcoming challenges for this industry. Postal services continue to play a central part in the development of national economies. However, the economic and social role of postal services has changed rapidly and fundamentally over the last two decades. In most industrialized countries, paper-based communications are in serious decline, while the demand for parcel delivery services is rising steadily with the continuing development of e-commerce, just-in-time production techniques, and global supply chains. For the postal sector as a whole, the centre of gravity has shifted dramatically from letters and documents to parcels. The authors explain how the organizational paradigm has inexorably shifted from that of a national, government-owned postal administration providing the basic delivery services required by society, to a system of interdependent local and regional undertakings that both compete and cooperate with one another. The book argues that there are no indications that the postal sector has stopped changing, and that it seems most probable that the European Union's postal sector will look quite different in 2035 than it does today. In closing, the book explains how the shareholders of postal services companies have recently confirmed that the time has come to rethink the strategy of creating and maintaining competitiveness in the postal services industry.

Organizations today are being challenged to make sense of changes in environments that, now more than ever, are described as VUCA (volatile, uncertain, complex and ambiguous). They are also being driven to understand how the future will evolve and what impact it will have not only on the organizations themselves, but also on industries and societies. In recent decades a field has emerged to support organizations in addressing these challenges: strategic foresight. This book is a comprehensive introduction to strategic foresight. It presents a history of the field and explains the main principles in thinking about the future. The book describes how organizations can apply strategic foresight, and explains how it relates to other fields such as strategy, innovation and leadership, highlighting the relevance of strategic foresight not only for organizations but also for individuals, particularly managers and leaders. Grounded in the theoretical foundations of strategic foresight, the book reflects the latest academic research and explores practical applications in different contexts. It draws on more than two decades of experience that the author has in the field as a researcher, a consultant and in the corporate context. This is essential reading for managers and leaders of public and private organizations who want to establish strategic foresight practices, as well as students of foresight and managers in the fields of innovation, research & development and marketing.

This book develops insights of digitalization and the future of financial services to originate an innovative approach to financial field, in order to underpin research and practice in the wide area of digital finance. The aim of this book is to extend our understandings on how digitalization and the future of financial services can be helpful in different business circumstances in many cross-functional financial areas, such as financial markets, financial risk management, financial technologies, investment finance, etc. Thus, the book aims at addressing the relevance of digital finance for different players, highlighting differences in tools and processes as well as identifying innovative practices in financial digitalization. This can result in some novel theoretical and practical insights that can foster financial players, in order to proactively explore and exploit opportunities in financial digitalization and offset financial risks and increase efficiency.

This book readdresses fundamental issues in knowledge management, leading to a new area of study: knowledge processes. McInerney 's and Day 's superb authors from various disciplines offer new and exciting views on knowledge acquisition, generation, sharing and management in a post-industrial environment. Their contributions discuss problems of knowledge acquisition, handling, and learning from a variety of perspectives.

Over the past decade, diverse organizations have been turning to open source software for their technological needs, in both internal processes management and public interaction. Turning the data generated by organizations ranging from universities to large corporations into usable information has plagued users for years, making open source solutions one of the primary goals of these institutions. Open Source Solutions for Knowledge Management and Technological Ecosystems addresses the issues surrounding the search for each organization's unique data management needs, defining the tools necessary to fulfill them within their technological ecosystem, along with the selection, interoperability, and integration of these tools. This book is ideal for managers, business professionals, software engineers, information technology professionals, and students of business and IT.