This book presents a systematic literature review of 156 published papers on business model innovation (BMI). The aim is to identify and integrate the different theoretical perspectives, analytical levels, and empirical contexts in order to deepen understanding of this complex phenomenon. The authors conduct an inductive thematic analysis based on an informal ontological classification that identifies 56 key themes. Within each theme, discussion focuses on thematic patterns, potential inconsistencies and debates, and future directions and opportunities for research. The book makes a number of significant contributions to the field. First, it offers a deeper understanding of the evolution of research on BMI through an ontological map that identifies the key thematic areas in the literature. Second, a multilevel model is developed that clarifies the concept of BMI by identifying its drivers, contingencies, and outcomes. Third, the authors identify clear and specific directions for further research and offer suggestions on research design, creating an informative road map for the future. The book will be of value both to scholars and researchers and to practitioners.

Information, Organization and Management is a comprehensive treatment of the economic and technical foundations for new organizational forms, relations and processes. It provides a wide range of underlying concepts and frameworks that help the reader understand the major forces driving organizational and marketplace change, rather than presenting these changes as simple outcomes of technological or management fads. "The book has a heavier than usual economic bent, yet also considers the human cognitive aspects. The emphasis throughout is on the total concepts, with subsections at the end of each chapter describing the role of information and the implications for management. The content is well worth reading." Paul Gray, Claremont Graduate School and University of California at Irvine.

Systems for Online Transaction Processing (OLTP) and Online Analytical Processing (OLAP) are currently separate. The potential of the latest technologies and changes in operational and analytical applications over the last decade have given rise to the unification of these systems, which can be of benefit for both workloads. Research and industry have reacted and prototypes of hybrid database systems are now appearing.

Benchmarks are the standard method for evaluating, comparing and supporting the development of new database systems. Because of the separation of OLTP and OLAP systems, existing benchmarks are only focused on one or the other. With the rise of hybrid database systems, benchmarks to assess these systems will be needed as well.

Based on the examination of existing benchmarks, a new benchmark for hybrid database systems is introduced in this book. It is furthermore used to determine the effect of adding OLAP to an OLTP workload and is applied to analyze the impact of typically used optimizations in the historically separate OLTP and OLAP domains in mixed-workload scenarios.

This book describes analytical techniques for optimizing knowledge acquisition, processing, and propagation, especially in the contexts of cyber-infrastructure and big data. Further, it presents easy-to-use analytical models of knowledge-related processes and their applications. The need for such methods stems from the fact that, when we have to decide where to place sensors, or which algorithm to use for processing the data-we mostly rely on experts' opinions. As a result, the selected knowledge-related methods are often far from ideal. To make better selections, it is necessary to first create easy-to-use models of knowledge-related processes. This is especially important for big data, where traditional numerical methods are unsuitable. The book offers a valuable guide for everyone interested in big data applications: students looking for an overview of related analytical techniques, practitioners interested in applying optimization techniques, and researchers seeking to improve and expand on these techniques.

For businesses large and small, investment in digital technologies is now a priority essential for success. Digitizing Government provides practical advice for understanding and implementing digital transformation to increase business value and improve client engagement, and features case studies from the private and public sectors.

Competitive intelligence uses public sources to obtain valuable information on competition and competitors. By using competitive intelligence aggressively and intelligently, corporations can obtain information on potential acquisition targets, markets, key personnel, the probable emergence of new products, or the financial strength or contracts of a competing firm. An absolutely indispensable playbook for anyone who has to compete during the information explosion.

"Martin Sikora, Editor, Mergers and AcquisitionS"

Competitive intelligence uses public sources to obtain valuable information on competition and competitors. In an open society such as our own, businesses place a great deal of information in the public domain. By using competitive intelligence aggressively and intelligently, corporations can obtain information on potential acquisition targets, markets, key personnel, the probable emergence of new products, or the financial strength or contracts of a competing firm. In fact, the authors contend that as much as 90 percent of the information required to decide on a course of litigation, acquisitions, expansion, new product introduction, or financing, is available through competitive intelligence.

This book provides comprehensive methodology, enabling the staff charged with an IT security audit to create a sound framework, allowing them to meet the challenges of compliance in a way that aligns with both business and technical needs. This "roadmap" provides a way of interpreting complex, often confusing, compliance requirements within the larger scope of an organization's overall needs.

Key Features:
* The ulitmate guide to making an effective security policy and controls that enable monitoring and testing against them
* The most comprehensive IT compliance template available, giving detailed information on testing all your IT security, policy and governance requirements
* A guide to meeting the minimum standard, whether you are planning to meet ISO 27001, PCI-DSS, HIPPA, FISCAM, COBIT or any other IT compliance requirement
* Both technical staff responsible for securing and auditing information systems and auditors who desire to demonstrate their technical expertise will gain the knowledge, skills and abilities to apply basic risk analysis techniques and to conduct a technical audit of essential information systems from this book
* This technically based, practical guide to information systems audit and assessment will show how the process can be used to meet myriad compliance issues

This edited volume is brought out from the contributions of the research papers presented in the International Conference on Data Science and Business Analytics (ICDSBA- 2017), which was held during September 23-25 2017 in ChangSha, China. As we all know, the field of data science and business analytics is emerging at the intersection of the fields of mathematics, statistics, operations research, information systems, computer science and engineering. Data science and business analytics is an interdisciplinary field about processes and systems to extract knowledge or insights from data. Data science and business analytics employ techniques and theories drawn from many fields including signal processing, probability models, machine learning, statistical learning, data mining, database, data engineering, pattern recognition, visualization, descriptive analytics, predictive analytics, prescriptive analytics, uncertainty modeling, big data, data warehousing, data compression, computer programming, business intelligence, computational intelligence, and high performance computing among others. The volume contains 55 contributions from diverse areas of Data Science and Business Analytics, which has been categorized into five sections, namely: i) Marketing and Supply Chain Analytics; ii) Logistics and Operations Analytics; iii) Financial Analytics. iv) Predictive Modeling and Data Analytics; v) Communications and Information Systems Analytics. The readers shall not only receive the theoretical knowledge about this upcoming area but also cutting edge applications of this domains.

This book presents selected examples of digitalization in the age of digital change. It is divided into two sections: "Digital Innovation," which features new technologies that stimulate and enable new business opportunities; and "Digital Business Transformation," comprising business and management concepts that employ specific technological solutions for their practical implementation. Combining new insights from research, teaching and management, including digital transformation, e-business, knowledge representation, human-computer interaction, and business optimization, the book highlights the breadth of research as well as its meaningful and relevant transfer into practice. It is intended for academics seeking inspiration, as well as for leaders wanting to tap the potential of the latest trends to take society and their business to the next level.

Extensive research conducted by the Hasso Plattner Design Thinking Research Program at Stanford University in Palo Alto, California, USA, and the Hasso Plattner Institute in Potsdam, Germany, has yielded valuable insights on why and how design thinking works. The participating researchers have identified metrics, developed models, and conducted studies, which are featured in this book, and in the previous volumes of this series. This volume provides readers with tools to bridge the gap between research and practice in design thinking with varied real world examples. Several different approaches to design thinking are presented in this volume. Acquired frameworks are leveraged to understand design thinking team dynamics. The contributing authors lead the reader through new approaches and application fields and show that design thinking can tap the potential of digital technologies in a human-centered way. In a final section, new ideas in neurodesign at Stanford University and at Hasso Plattner Institute in Potsdam are elaborated upon thereby challenging the reader to consider newly developed methodologies and provide discussion of how these insights can be applied to various sectors. Special emphasis is placed on understanding the mechanisms underlying design thinking at the individual and team levels. Design thinking can be learned. It has a methodology that can be observed across multiple settings and accordingly, the reader can adopt new frameworks to modify and update existing practice. The research outcomes compiled in this book are intended to inform and provide inspiration for all those seeking to drive innovation - be they experienced design thinkers or newcomers.

'CRM Systems in Industrial Companies' contributes new knowledge on customer relationship management (CRM) in the field of industrial marketing. Based on an in-depth case study, this book highlights the complexity and challenges in the development, implementation and use of CRM. The volume proposes an alternative conceptualization of CRM: relying on the industrial marketing and purchasing (IMP) perspective, CRM becomes a socio-technical 'resource' which needs to be connected to the other resources before it can create effects on customer relationships.

This book develops an IT strategy for cloud computing that helps businesses evaluate their readiness for cloud services and calculate the ROI. The framework provided helps reduce risks involved in transitioning from traditional "on site" IT strategy to virtual "cloud computing." Since the advent of cloud computing, many organizations have made substantial gains implementing this innovation. Cloud computing allows companies to focus more on their core competencies, as IT enablement is taken care of through cloud services. Cloud Computing and ROI includes case studies covering retail, automobile and food processing industries. Each of these case studies have successfully implemented the cloud computing framework and their strategies are explained. As cloud computing may not be ideal for all businesses, criteria are also offered to help determine if this strategy should be adopted.

Three dominant forces worldwide are driving change today in our financial markets: competition, technology and regulation. But their collective impact in reshaping the markets, though they may be viewed individually as desirable or well-intentioned, is producing challenging results that are difficult to predict, hard to control and not easy to understand. Extreme market turbulence has underlined the key issues as much attention turns to the appropriate regulatory response. That is the backdrop for this thought-provoking book, emerging from a Baruch College Conference on equity market structure in the aftermath of the global financial crisis, and featuring contributions from an acclaimed panel of international scholars, policymakers, regulators, and industry leaders. The result presents emerging perspective and ideas that illuminate the dynamics of financial regulation today and into the future. The Zicklin School of Business Financial Markets Series presents the insights emerging from a sequence of conferences hosted by the Zicklin School at Baruch College for industry professionals, regulators, and scholars. Much more than historical documents, the transcripts from the conferences are edited for clarity, perspective and context; material and comments from subsequent interviews with the panelists and speakers are integrated for a complete thematic presentation. Each book is focused on a well delineated topic, but all deliver broader insights into the quality and efficiency of the U.S. equity markets and the dynamic forces changing them.

This book explores how agile development practices, in particular pair programming, code review and automated testing, help software development teams to perform better. Agile software engineering has become the standard software development paradigm over the last decade, and the insights provided here are taken from a large-scale survey of 80 professional software development teams working at SAP SE in Germany. In addition, the book introduces a novel measurement tool for assessing the performance of software development teams. No previous study has researched this topic with a similar data set comprising insights from more than 450 professional software engineers.

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 book presents source code modularization as a key activity in reverse engineering to extract the software architecture from the existing source code. To this end, it provides detailed techniques for source code modularization and discusses their effects on different software quality attributes. Nonetheless, it is not a mere survey of source code modularization algorithms, but rather a consistent and unifying theoretical modularization framework, and as such is the first publication that comprehensively examines the models and techniques for source code modularization. It enables readers to gain a thorough understanding of topics like software artifacts proximity, hierarchical and partitional modularization algorithms, search- and algebraic-based software modularization, software modularization evaluation techniques and software quality attributes and modularization. This book introduces students and software professionals to the fundamental ideas of source code modularization concepts, similarity/dissimilarity metrics, modularization metrics, and quality assurance. Further, it allows undergraduate and graduate students in software engineering, computer science, and computer engineering with no prior experience in the software industry to explore the subject in a step-by-step manner. Practitioners benefit from the structured presentation and comprehensive nature of the materials, while the large number of bibliographic references makes this book a valuable resource for researchers working on source code modularization.

This book brings together recent qualitative research studies in enterprise-wide implementations. This collection is useful as a teaching case for academia, a student reference and also for academics, researchers and IT practitioners who wish to gain a broad view of ERP implementation success and failure, This book provides relevant methodologies and recent empirical research findings in the area and includes sufficient background information for an understanding of each case but focuses on providing a rich description of more than a dozen real life cases.

Universities are increasingly being asked to play a greater role in their communities. With the growth of the technology industry and the increasing importance of the Internet in education and everyday life, academic IT departments are beginning to form partnerships with both non-profit and for-profit organizations in the local community. These partnerships can relate to the whole curriculum, to specific classes, to students internships, to theoretical research, and to industrial research, and there are many other possibilities for IT/Community partnerships. Managing IT/Community Partnerships in the 21st Century explores the various possibilities for partnerships between academic IT departments and community-based organizations.

Probabilistic Methods for Financial and Marketing Informatics aims to provide students with insights and a guide explaining how to apply probabilistic reasoning to business problems. Rather than dwelling on rigor, algorithms, and proofs of theorems, the authors concentrate on showing examples and using the software package Netica to represent and solve problems. The book contains unique coverage of probabilistic reasoning topics applied to business problems, including marketing, banking, operations management, and finance. It shares insights about when and why probabilistic methods can and cannot be used effectively. This book is recommended for all R&D professionals and students who are involved with industrial informatics, that is, applying the methodologies of computer science and engineering to business or industry information. This includes computer science and other professionals in the data management and data mining field whose interests are business and marketing information in general, and who want to apply AI and probabilistic methods to their problems in order to better predict how well a product or service will do in a particular market, for instance. Typical fields where this technology is used are in advertising, venture capital decision making, operational risk measurement in any industry, credit scoring, and investment science.

This book guides readers through the broad field of generic and industry-specific management system standards, as well as through the arsenal of tools that are needed to effectively implement them. It covers a wide spectrum, from the classic standard ISO 9001 for quality management to standards for environmental safety, information security, energy efficiency, business continuity, laboratory management, etc. A dedicated chapter addresses international management standards for compliance, anti-bribery and social responsibility management. In turn, a major portion of the book focuses on relevant tools that students and practitioners need to be familiar with: 8D reports, acceptance sampling, failure tree analysis, FMEA, control charts, correlation analysis, designing experiments, estimating parameters and confidence intervals, event tree analysis, HAZOP, Ishikawa diagrams, Monte Carlo simulation, regression analysis, reliability theory, data sampling and surveys, testing hypotheses, and much more. An overview of the necessary mathematical concepts is also provided to help readers understand the technicalities of the tools discussed. A down-to-earth yet thorough approach is employed throughout the book to help practitioners and management students alike easily grasp the various topics.

This volume collects a selection of refereed papers of the more than one hundred presented at the InternationalConference MAF 2008 - Mathematicaland Statistical Methods for Actuarial Sciences and Finance. The conference was organised by the Department of Applied Mathematics and theDepartment ofStatisticsoftheUniversityCa'Foscari Venice(Italy), withthec- laborationofthe Department ofEconomics and StatisticalSciences ofthe University ofSalerno(Italy).Itwas heldinVenice, fromMarch 26to28,2008, attheprestigious CavalliFranchettipalace, alongGrand Canal, oftheIstitutoVenetodiScienze, Lettere ed Arti. This conference was the ?rst international edition of a biennial national series begunin2004, whichwas bornof thebrilliantbeliefofthe colleagues -and friends- oftheDepartmentofEconomicsandStatisticalSciences oftheUniversityofSalerno: the idea following which the cooperation between mathematicians and statisticians in working in actuarial sciences, in insurance and in ?nance can improve research on these topics. The proof of this consists in the wide participation in these events. In particular, with reference to the 2008 internationaledition: - More than 150 attendants, both academicians and practitioners; - More than 100 accepted communications, organised in 26 parallel sessions, from authors coming from about twenty countries (namely: Canada, Colombia, Czech Republic, France, Germany, Great Britain, Greece, Hungary, Ireland, Israel, Italy, Japan, Poland, Spain, Sweden, Switzerland, Taiwan, USA); - two plenary guest-organised sessions; and - aprestigiouskeynotelecturedeliveredbyProfessorWolfgangHa ]rdleoftheH- boldt Universityof Berlin (Germany)

Value stream design is increasingly asserting itself as "the" key approach for production optimization, but there has never been a detailed and systematic presentation of the value stream method before a gap that has now been filled by this book.

The author provides an easily comprehensible code of practice for the effective analysis of production processes, product family-oriented factory structuring and the target-oriented development of an ideal future state of production. The book plausibly conveys ten design guidelines for production optimization with corresponding equations, descriptive illustrations and industrial examples well-proven in numerous industrial projects. It addresses the professional public, practitioners wishing to avoid waste and systematically improve their factories value streams, and students - tomorrow s practitioners.

In contrast to other publications, this book complements the value stream analysis and its unique compact visualization of the entire production process by a detailed illustration of the information flow and a comprehensive discussion of the operator balance chart. The -traditional- concept of value stream design is significantly expanded with a view to its applicability in complex productions by way of methodological innovation and further development concerning campaign formation, value stream management and technological process integration. The method is embedded in a comprehensive procedural approach for factory planning, starting with the definition of the desired lean production goals."

In recent years, with rapidly advancing technology and a more globalized culture, the importance of Information Systems has become paramount. The application of Information Systems has made a huge impact on the service sector, both public and private. Information Systems and New Applications in the Service Sector: Models and Methods examines current, state-of-the-art research in the area of service sectors and their interactions, linkages, applications, and support using information systems. This publication encompasses theoretical, analytical, and empirical research, as well as comprehensive reviews of relevant research, technical reports, and case studies of effective applications in this area. The use of new theories, technologies, models, methods, techniques, and principles are emphasized all while explaining the relationship between the advancement of the service sector and the evolution of information systems.

Causal analytics methods can revolutionize the use of data to make effective decisions by revealing how different choices affect probabilities of various outcomes. This book presents and illustrates models, algorithms, principles, and software for deriving causal models from data and for using them to optimize decisions with uncertain outcomes. It discusses how to describe and summarize situations; detect changes; evaluate effects of policies or interventions; learn what works best under different conditions; predict values of as-yet unobserved quantities from available data; and identify the most likely explanations for observed outcomes, including surprises and anomalies. The book resents practical techniques for causal modeling and analytics that practitioners can apply to improve understanding of how choices affect probabilities of consequences and, based on this understanding, to recommend choices that are more likely to accomplish their intended objectives.The book begins with a survey of modern analytics methods, focusing mainly on techniques useful for decision, risk, and policy analysis. Chapter 2 introduces free in-browser software, including the Causal Analytics Toolkit (CAT) software, to enable readers to perform the analyses described and to apply modern analytics methods easily to their own data sets. Chapters 3 through 11 show how to apply causal analytics and risk analytics to practical risk analysis challenges, mainly related to public and occupational health risks from pathogens in food or from pollutants in air. Chapters 12 through 15 turn to broader questions of how to improve risk management decision-making by individuals, groups, organizations, institutions, and multi-generation societies with different cultures and norms for cooperation. These chapters examine organizational learning, community resilience, societal risk management, and intergenerational collaboration and justice in managing risks.