This book presents a collection of original research papers addressing the relationship between information systems (IS) and innovation. "Open", "Smart" and "Network" are three keywords that are currently guiding information systems (IS) innovation, enhancing IS potentialities and their ability to support decision-making processes. The book discusses the relevance of these three new concepts in connection with technological and organizational innovations (i.e. cloud, smart technologies and networking), and the role they play in the development of accounting and management information systems. The book's primary aim is to investigate how these innovations could influence information systems (with a particular focus on accounting and management information systems) by enhancing their information potentialities and improving accounting methodologies, performance measurement systems, data management, information systems architectures, and external and internal reporting. The book is based on a selection of the best papers-original double-blind reviewed contributions-presented at the 2016 Annual Conference of the Italian Chapter of the Association for Information Systems (AIS).

This book makes an important contribution to the recent evolution in Information and Communication Technologies (ICT) that are human-centred and socially desirable, environmentally sustainable, and ethically acceptable. It introduces the concept of moral, equitable and environmental limits in the ICT domain and proposes a Slow Tech approach to face the challenges of these limits, laying out a set of principles that can be applied in real-life business settings. With the launch of the United Nations Sustainable Development Goals and the growing interest in the circular economy, Slow Tech and ICT - A Responsible, Sustainable and Ethical Approach is a timely tool for forward-thinking businesses.

This volume contains the technical papers presented in the workshops associated with the European Conference on Service-Oriented and Cloud Computing, ESOCC 2016, held in Vienna, Austria, in September 2016: 4th International Workshop on Cloud for IoT, CLloT 2016, Second International Workshop on Cloud Adoption and Migration, CloudWays 2016, First International Workshop on Patterns and Pattern Languages for SOCC: Use and Discovery, PATTWORLD 2016, combined with the First International Workshop on Performance and Conformance of Workflow Engines, PEaCE 2016, IFIP WG SOS Workshop 2016 Rethinking Services ResearCH, ReSeRCH 2016. Furthermore, there is a topical section presenting the results of the PhD Symposium. The abstracts of the presentations held at the European Projects Forum, EU Projects 2016, are included in the back-matter of the volume. The 15 full papers included in this volume were carefully reviewed and selected from 49 submissions. They focus on specific topics in service-oriented and cloud computing domains such as limits and/or advantages of existing cloud solutions, future internet technologies, efficient and adaptive deployment and management of service-based applications across multiple clouds, novel cloud service migration practices and solutions, digitization of enterprises in the cloud computing era, federated cloud networking services.

This book provides the reader with a basic understanding of the formal concepts of the cluster, clustering, partition, cluster analysis etc. The book explains feature-based, graph-based and spectral clustering methods and discusses their formal similarities and differences. Understanding the related formal concepts is particularly vital in the epoch of Big Data; due to the volume and characteristics of the data, it is no longer feasible to predominantly rely on merely viewing the data when facing a clustering problem. Usually clustering involves choosing similar objects and grouping them together. To facilitate the choice of similarity measures for complex and big data, various measures of object similarity, based on quantitative (like numerical measurement results) and qualitative features (like text), as well as combinations of the two, are described, as well as graph-based similarity measures for (hyper) linked objects and measures for multilayered graphs. Numerous variants demonstrating how such similarity measures can be exploited when defining clustering cost functions are also presented. In addition, the book provides an overview of approaches to handling large collections of objects in a reasonable time. In particular, it addresses grid-based methods, sampling methods, parallelization via Map-Reduce, usage of tree-structures, random projections and various heuristic approaches, especially those used for community detection.

Leaders of tech organizations have to regularly adapt their strategies in an ever-changing market. Creating a culture that understands and supports both the technical and the nontechnical is a refined skill that can be difficult to master even for a leader with years of experience. The Tech Executive Operating System helps you apply your personal expertise and build a thriving R&D organization that moves the needle. Tech companies spend an average of 15% of their revenue on R&D. As they grow, they find the return on this large investment decreases at a fast pace. Executives and leaders of companies big and small are at a loss and seeking guidance. Author Ben-Yosef expertly walks you through the need to set goals, translate business objectives to R&D terms, and establish the organizational structures and processes to create the biggest impact. The Tech Executive Operating System is a rare book that provides useful yardsticks to measure the progress and contributions of managers, teams, and individuals in your organization. Tech executives, first-time startup founders, managers , CEOs, and other non-technical founders of startups who want to better understand a significant part of their organization all have invaluable knowledge to gain from The Tech Executive Operating System. Ben-Yosef's thorough research and real-world examples enhance the lessons and make your goals clear. Engineering organizations can be vastly improved by this multi-faceted approach, and the future of tech is calling for it. What You Will Learn Create a toolkit for your employees to put in place a remarkable engineering team Discover an impact-oriented approach to goal-setting that will be especially usefully for remote employees Turn the R&D department from a cost center to an innovation center Who This Book is For Tech executives and their direct reports, first-timer startup founders, junior leaders in tech organizations, middle-managers in big enterprises, CEOs and other non-technical founders of startups who want to better understand a big part of their organization and how best to address it.

This book is comprised of the presentations delivered at the 25th ICSA Applied Statistics Symposium held at the Hyatt Regency Atlanta, on June 12-15, 2016. This symposium attracted more than 700 statisticians and data scientists working in academia, government, and industry from all over the world. The theme of this conference was the "Challenge of Big Data and Applications of Statistics," in recognition of the advent of big data era, and the symposium offered opportunities for learning, receiving inspirations from old research ideas and for developing new ones, and for promoting further research collaborations in the data sciences. The invited contributions addressed rich topics closely related to big data analysis in the data sciences, reflecting recent advances and major challenges in statistics, business statistics, and biostatistics. Subsequently, the six editors selected 19 high-quality presentations and invited the speakers to prepare full chapters for this book, which showcases new methods in statistics and data sciences, emerging theories, and case applications from statistics, data science and interdisciplinary fields. The topics covered in the book are timely and have great impact on data sciences, identifying important directions for future research, promoting advanced statistical methods in big data science, and facilitating future collaborations across disciplines and between theory and practice.

This concise volume covers nonparametric statistics topics that most are most likely to be seen and used from a practical decision support perspective. While many degree programs require a course in parametric statistics, these methods are often inadequate for real-world decision making in business environments. Much of the data collected today by business executives (for example, customer satisfaction opinions) requires nonparametric statistics for valid analysis, and this book provides the reader with a set of tools that can be used to validly analyze all data, regardless of type. Through numerous examples and exercises, this book explains why nonparametric statistics will lead to better decisions and how they are used to reach a decision, with a wide array of business applications. Online resources include exercise data, spreadsheets, and solutions.

This book offers hands-on statistical tools for business professionals by focusing on the practical application of a single-equation regression. The authors discuss commonly applied econometric procedures, which are useful in building regression models for economic forecasting and supporting business decisions. A significant part of the book is devoted to traps and pitfalls in implementing regression analysis in real-world scenarios. The book consists of nine chapters, the final two of which are fully devoted to case studies. Today's business environment is characterised by a huge amount of economic data. Making successful business decisions under such data-abundant conditions requires objective analytical tools, which can help to identify and quantify multiple relationships between dozens of economic variables. Single-equation regression analysis, which is discussed in this book, is one such tool. The book offers a valuable guide and is relevant in various areas of economic and business analysis, including marketing, financial and operational management.

This important text/reference presents a comprehensive review of techniques for taxonomy matching, discussing matching algorithms, analyzing matching systems, and comparing matching evaluation approaches. Different methods are investigated in accordance with the criteria of the Ontology Alignment Evaluation Initiative (OAEI). The text also highlights promising developments and innovative guidelines, to further motivate researchers and practitioners in the field. Topics and features: discusses the fundamentals and the latest developments in taxonomy matching, including the related fields of ontology matching and schema matching; reviews next-generation matching strategies, matching algorithms, matching systems, and OAEI campaigns, as well as alternative evaluations; examines how the latest techniques make use of different sources of background knowledge to enable precise matching between repositories; describes the theoretical background, state-of-the-art research, and practical real-world applications; covers the fields of dynamic taxonomies, personalized directories, catalog segmentation, and recommender systems. This stimulating book is an essential reference for practitioners engaged in data science and business intelligence, and for researchers specializing in taxonomy matching and semantic similarity assessment. The work is also suitable as a supplementary text for advanced undergraduate and postgraduate courses on information and metadata management.

This book constitutes revised selected papers from the 6th International Conference on Information Systems, Logistics, and Supply Chains, ILS 2016, held in Bordeaux, France, in June 2016. The conference deals with topics related to supply chain design and management, information and decision-making systems, and innovative practices in logistics. It also encompasses issues such as sustainability, societal impact, uncertainty, and collaboration in supply chain management. The 13 full papers presented were carefully reviewed and selected for inclusion in this volume and reflect the diverse challenges and opportunities experienced in logistics, information and supply chain management. They were organized in topical sections named: transportation and logistics; supply chain planning; collaboration and operations in supply chain; and applications of supply chain topics to business environments (case studies).

This textbook discusses central statistical concepts and their use in business and economics. To endure the hardship of abstract statistical thinking, business and economics students need to see interesting applications at an early stage. Accordingly, the book predominantly focuses on exercises, several of which draw on simple applications of non-linear theory. The main body presents central ideas in a simple, straightforward manner; the exposition is concise, without sacrificing rigor. The book bridges the gap between theory and applications, with most exercises formulated in an economic context. Its simplicity of style makes the book suitable for students at any level, and every chapter starts out with simple problems. Several exercises, however, are more challenging, as they are devoted to the discussion of non-trivial economic problems where statistics plays a central part.

AI, Big Data and other 4th industrial revolution technologies are poised to wreak havoc in virtually every industry, unlocking huge productivity gains via automation of labor both manual and cognitive. Less discussed are the impacts on workers, who see the value of their skills erode, along with the menace of mass structural unemployment. How can workers assess their vulnerabilities? What can they do to improve their prospects, effective immediately? In this book, you will learn how to: - Survey new tech and decrypt their potential impacts on work - Assess your strengths and weaknesses in the face of AI, the shared economy, and other tech-propelled threats - Foment a battle plan to survive and thrive Ashley Recanati provides guidance for employees to rise above their peers and preserve their value, in a book that will interest managers and scholars, but foremost destined to ordinary workers.

This book offers a simple introduction to the theory and practice of the Analytic Hierarchy Process (AHP) without a pre-requisite for a sophisticated mathematical background. AHP is an intuitive and mathematically simple methodology in the field of multi-criteria decision making in Operational Research (OR). Using Super Decisions v3, the newly developed software by the Creative Decisions Foundations, this book provides a quick and intuitive understanding of AHP using spreadsheet examples and step-by-step software instructions. Super Decisions v3 marks a drastic departure from the previous version 2 in terms of interface and ratings model development. In addition to a concise guide, instructional videos are also available to demonstrate how to use the different features of Super Decisions v3. Most AHP books assume the reader has basic OR mathematical background; however, AHP was developed with the goal that decision makers can take advantage of this methodology without struggling with the mathematics behind it. For this reason, only basic arithmetic knowledge is required from the readers. In conclusion, this book delivers a quick and practical understanding of the AHP methodology that can be useful for corporate executives and decision-makers in all fields.

The rise of digital media and the public's demand for transparency has elevated the importance of communication for every business. To have a voice or seat at the table and maximize their full value, a strategic communicator must be able to speak the language and understand business goals, issues, and trends. The challenge is that many communicators don't hold an MBA and didn't study business in college. Business Essentials for Strategic Communicators provides communication professionals and students with the essential 'Business 101' knowledge they need to navigate the business world with the best of them. Readers will learn the essentials of financial statements and terminology, the stock market, public companies, and more--all with an eye on how this knowledge helps them do their jobs better as communication professionals.

Use this practical, hands-on guide to get started with ProcessMaker. The book provides clear steps for you to walk through and set up ProcessMaker on your own system and make processes run faster and smarter. You will model and build a complete business process for requesting, approving, and reporting expenses. In the course of building the process, you will understand: The Workflow Designer for modeling business processes using BPMN 2.0 The Dynaform Designer for creating responsive HTML forms Input and Output documents for capturing supporting documents for business processes and generating standardized documents from the data captured in a process Triggers for implementing custom business logic and extending ProcessMaker functionality What You'll Learn Send email notifications and add comments to cases Build complex routing rules Manage users and their permissions Deploy ProcessMaker to a cloud server Configure and use the ProcessMaker mobile app Who This Book Is For Business analysts, programmers, and professionals in all industries (e.g., higher education, finance and insurance, government, healthcare, manufacturing, and telecommunications)

This proceedings volume presents timely research and insights on the advancement of marketing's basic premise-providing greater levels of customer value. In recent years, both marketing scholars and practitioners have witnessed great advancements in technology and methodologies associated with big data, with location-based marketing centered on mobile apps and the real-time tracking of consumer behavior, and with innovations and enhancements in communications utilizing the continually growing presence of social media. Featuring the full proceedings of the 2017 Academy of Marketing Science (AMS) Annual Conference held in Coronado Island, California, this volume provides ground-breaking research from scholars and practitioners from around the world that will help marketers in providing value for companies, consumers and society. Founded in 1971, the Academy of Marketing Science is an international organization dedicated to promoting timely explorations of phenomena related to the science of marketing in theory, research, and practice. Among its services to members and the community at large, the Academy offers conferences, congresses, and symposia that attract delegates from around the world. Presentations from these events are published in this Proceedings series, which offers a comprehensive archive of volumes reflecting the evolution of the field. Volumes deliver cutting-edge research and insights, complementing the Academy's flagship journals, the Journal of the Academy of Marketing Science (JAMS) and AMS Review. Volumes are edited by leading scholars and practitioners across a wide range of subject areas in marketing science.

Proactively plan and manage innovation in your business while keeping operations safe and secure. This book provides a framework and practices to help you safeguard customer information, prevent unauthorized access, and protect your brand and assets. Securing company operations is a board-level discussion. Across all industries, companies are pouring millions of dollars into taming cybercrime and other related security crime. Achieving and Sustaining Secured Business Operations presents a holistic approach looking top down, bottom up, and sideways. The end goal is to achieve and sustain a safe environment to conduct secured business operations while continuously innovating for competitive advantage. What You'll Learn Discover why security, specifically secured business operations, needs to be part of business planning and oversight by design and not left to technologists to make the business case Determine what you can do in your role and in your organization to drive and implement integration and improvements in planning and managing secured business operations in conjunction with other business planning and management activities Choose ways in which progress toward achieving and sustaining secured business operations can be measured Understand best practices for organizing, planning, architecting, governing, monitoring, and managing secured business operations Create a framework, including methods and tools for operationalizing assessment, planning, and ongoing management of secured business operations Use cases and potential case studies for various industries and business models Who This Book Is For Chief executive officers and their leadership team; chief operations officers; chief information officers and their leadership team; chief information security officers; business functional middle managers; and enterprise, solution, and information technology architects

This text introduces and provides instruction on the design and analysis of experiments for a broad audience. Formed by decades of teaching, consulting, and industrial experience in the Design of Experiments field, this new edition contains updated examples, exercises, and situations covering the science and engineering practice. This text minimizes the amount of mathematical detail, while still doing full justice to the mathematical rigor of the presentation and the precision of statements, making the text accessible for those who have little experience with design of experiments and who need some practical advice on using such designs to solve day-to-day problems. Additionally, an intuitive understanding of the principles is always emphasized, with helpful hints throughout.

This book constitutes the refereed proceedings of the 10th Software Quality Days Conference, SWQD 2018, held in Vienna, Austria, in January 2018. The Software Quality Days (SWQD) conference started in 2009 and has grown to the biggest conferences on software quality in Europe with a strong community. The program of the SWQD conference is designed to encompass a stimulating mixture of practical presentations and new research topics in scientific presentations. The guiding conference topic of the SWQD 2018 is "Software Quality 4.0: Methods and Tools for better Software and Systems", as novel technologies include new challenges and might require new and adapted methods and tools to support quality assurance activities early. The 6 full papers and 2 short papers presented in this volume were carefully reviewed and selected from 16 submissions. The volume also contains 2 invited talks. The contributions were organized in topical sections named: safety and security; requirements engineering and requirements-based testing; crowdsourcing in software engineering; software and systems architecture; experimentation in software engineering; and smart environments.

Identifying failure modes and their effects is critical to software failure mode and effects analysis and it largely depends on the analysts' experience and the skill. This book develops a series of reading techniques based on common and prioritized failure modes in software requirements, software design, coding, and usability in order to makes the benefits of software failure mode and effects analysis (FMEA) readily accessible to general software practitioners, particularly in small teams and resource-constrained organizations. After a general introduction it offers an overview of software FMEA and discusses software review procedures and software reading techniques. Subsequent chapters present the basic ideas behind failure-modes-based reading techniques and examine the use of these techniques for software requirements, software design, software coding, software usability, and software testing. Covering the entire creation process, and including checklists and examples, it provides an easy introduction to the topic for professionals in software engineering and quality assurance.

Focus exclusively on the Azure Resource Manager (ARM) deployment model for Azure automation and gain in-depth knowledge of topics such as runbook authoring, different types of automation runbooks, and hybrid cloud automation. This book covers practical approaches to creating runbooks for multiple use cases, including operational tasks such as VM management and integration of Azure automation with infrastructure monitoring solutions, such as Operations Management Suite (OMS). Along the way you'll see how to use PowerShell in Azure automation and cover essentials including Azure automation security, source control integration, and runbook output streams. Finally, you learn about integrating Azure automation with Desired State Configuration (DSC) to include various cloud, on-premise, and hybrid scenarios. What You Will Learn * Work with the building blocks of Azure automation * Create different types of runbook * Master hybrid cloud automation with ARM * Implement cloud automation use cases with practical examples Who This Book Is For Infrastructure and cloud architects, cloud support engineers, and system administrators.

This book presents the proceedings of the Gmunden Retreat on NeuroIS 2017, reporting on topics at the intersection of Information Systems (IS) research, neurophysiology and the brain sciences. Readers will discover the latest findings from top scholars in the field of NeuroIS, which offer detailed insights on the neurobiology underlying IS behavior, essential methods and tools and their applications for IS, as well as the application of neuroscience and neurophysiological theories to advance IS theory.

Learn about the emergence and evolution of IT in the enterprise, see how machine learning is transforming business intelligence, and discover various cognitive artificial intelligence solutions that complement and extend machine learning. In this book, author Rohit Kumar explores the challenges when these concepts intersect in IT systems by presenting detailed descriptions and business scenarios. He starts with the basics of how artificial intelligence started and how cognitive computing developed out of it. He'll explain every aspect of machine learning in detail, the reasons for changing business models to adopt it, and why your business needs it. Along the way you'll become comfortable with the intricacies of natural language processing, predictive analytics, and cognitive computing. Each technique is covered in detail so you can confidently integrate it into your enterprise as it is needed. This practical guide gives you a roadmap for transformin g your business with cognitive computing, giving you the ability to work confidently in an ever-changing enterprise environment. What You'll Learn See the history of AI and how machine learning and cognitive computing evolved Discover why cognitive computing is so important and why your business needs it Master the details of modern AI as it applies to enterprises Map the path ahead in terms of your IT-business integration Avoid common road blocks in the process of adopting cognitive computing in your business Who This Book Is For Business managers and leadership teams.

This proceedings volume highlights the state-of-the-art knowledge related to optimization, decisions science and problem solving methods, as well as their application in industrial and territorial systems. It includes contributions tackling these themes using models and methods based on continuous and discrete optimization, network optimization, simulation and system dynamics, heuristics, metaheuristics, artificial intelligence, analytics, and also multiple-criteria decision making. The number and the increasing size of the problems arising in real life require mathematical models and solution methods adequate to their complexity. There has also been increasing research interest in Big Data and related challenges. These challenges can be recognized in many fields and systems which have a significant impact on our way of living: design, management and control of industrial production of goods and services; transportation planning and traffic management in urban and regional areas; energy production and exploitation; natural resources and environment protection; homeland security and critical infrastructure protection; development of advanced information and communication technologies. The chapters in this book examine how to deal with new and emerging practical problems arising in these different fields through the presented methodologies and their applications. The chapter topics are applicable for researchers and practitioners working in these areas, but also for the operations research community. The contributions were presented during the international conference "Optimization and Decision Science" (ODS2017), held at Hilton Sorrento Palace Conference Center, Sorrento, Italy, September 4 - 7, 2017. ODS 2017, was organized by AIRO, Italian Operations Research Society, in cooperation with DIETI (Department of Electrical Engineering and Information Technology) of University "Federico II" of Naples.

This book constitutes revised selected papers from the 15th Workshop on e-Business, WeB 2016, held in conjunction with the International Conference on Information Systems, ICIS, in Dublin, Ireland, in December 2016. WeB 2016 provided a forum for scholars to exchange ideas and share results from their research. Original articles addressing a broad coverage of technical, managerial, economic, and strategic issues related to consumers, businesses, industries, and governments were presented at the workshop, employing various IS research methods such as case study, survey, analytical modeling, experiments, computational models, and design science. The 15 full and 8 short papers presented in this volume were carefully reviewed and selected from 46 submissions. They deal with the "Internetworked World" focusing on digitalization, consumerization, global platforms, and transformative innovations in industry.