This international Handbook provides a comprehensive overview of key topics, debates and issues within the now well-established field of Knowledge Management (KM). With contributions from a range of highly-skilled authors, diverse and multi-disciplinary approaches towards KM are explored in this fantastic new reference work. Topics covered include performance, ethics, sustainability and cross-cultural management, making this an equally important read to academics and practitioners working in areas such as technology, education and engineering. By analysing how the field of KM has developed over the years, as well as presenting new methods to be implemented in the workplace, this Handbook outlines a research agenda for the future of organisational learning and innovation.

This illuminating text/reference surveys the state of the art in data science, and provides practical guidance on big data analytics. Expert perspectives are provided by authoritative researchers and practitioners from around the world, discussing research developments and emerging trends, presenting case studies on helpful frameworks and innovative methodologies, and suggesting best practices for efficient and effective data analytics. Features: reviews a framework for fast data applications, a technique for complex event processing, and agglomerative approaches for the partitioning of networks; introduces a unified approach to data modeling and management, and a distributed computing perspective on interfacing physical and cyber worlds; presents techniques for machine learning for big data, and identifying duplicate records in data repositories; examines enabling technologies and tools for data mining; proposes frameworks for data extraction, and adaptive decision making and social media analysis.

There are two different, interdependent components of IT that are important to a CIO: strategy, which is long-term; and tactical and operational concerns, which are short-term. Based on this distinction and its repercussions, this book clearly separates strategy from day-to-day operations and projects from operations - the two most important functions of a CIO. It starts by discussing the ideal organization of an IT department and the rationale behind it, and then goes on to debate the most pressing need - managing operations. It also explains some best industry standards and their practical implementation, and discusses project management, again highlighting the differences between the methodologies used in projects and those used in operations. A special chapter is devoted to the cutover of projects into operations, a critical aspect seldom discussed in detail. Other chapters touch on the management of IT portfolios, project governance, as well as agile project methodology, how it differs from the waterfall methodology, and when it is convenient to apply each. Taking the fundamental principles of IT service management and best practices in project management, the book offers a single, seamless reference for IT managers and professionals. It is highly practical, explaining how to apply these principles based on the author's extensive experience in industry.

This is the first book devoted to mobility management, covering the important principles, technologies and applications of mobility management based on years of academic research and industry experiences. The content is organized according to the reference models proposed by the authors, and emphasizes on technical principles rather than protocol details; a systematic and comprehensive introduction is presented yet without losing focuses; the existing technologies in cellular system, mobile Internet and IMS/SIP are also extensively compared. This book can be an indispensable reference for mobile communication engineers, computer network engineers, researchers and anyone else involved in academic, industrial and standardization activities on mobility management.

This book provides a systematic and comparative description of the vast number of research issues related to the quality of data and information. It does so by delivering a sound, integrated and comprehensive overview of the state of the art and future development of data and information quality in databases and information systems. To this end, it presents an extensive description of the techniques that constitute the core of data and information quality research, including record linkage (also called object identification), data integration, error localization and correction, and examines the related techniques in a comprehensive and original methodological framework. Quality dimension definitions and adopted models are also analyzed in detail, and differences between the proposed solutions are highlighted and discussed. Furthermore, while systematically describing data and information quality as an autonomous research area, paradigms and influences deriving from other areas, such as probability theory, statistical data analysis, data mining, knowledge representation, and machine learning are also included. Last not least, the book also highlights very practical solutions, such as methodologies, benchmarks for the most effective techniques, case studies, and examples. The book has been written primarily for researchers in the fields of databases and information management or in natural sciences who are interested in investigating properties of data and information that have an impact on the quality of experiments, processes and on real life. The material presented is also sufficiently self-contained for masters or PhD-level courses, and it covers all the fundamentals and topics without the need for other textbooks. Data and information system administrators and practitioners, who deal with systems exposed to data-quality issues and as a result need a systematization of the field and practical methods in the area, will also benefit from the combination of concrete practical approaches with sound theoretical formalisms.

This book gathers a selection of peer-reviewed papers presented at the International Conference on Operations Research (OR 2017), which was held at Freie Universitat Berlin, Germany on September 6-8, 2017. More than 800 scientists, practitioners and students from mathematics, computer science, business/economics and related fields attended the conference and presented more than 500 papers in parallel topic streams, as well as special award sessions. The main theme of the conference and its proceedings was "Decision Analytics for the Digital Economy."

This edited three volume edition brings together significant papers previously published in the Journal of information Technology (JIT) over its 30 year publication history. The three volumes of Enacting Research Methods in Information Systems celebrate the methodological pluralism used to advance our understanding of information technology's role in the world today. In addition to quantitative methods from the positivist tradition, JIT also values methodological articles from critical research perspectives, interpretive traditions, historical perspectives, grounded theory, and action research and design science approaches. Volume 1 covers Critical Research, Grounded Theory, and Historical Approaches. Volume 2 deals with Interpretive Approaches and also explores Action Research. Volume 3 focuses on Design Science Approaches and discusses Alternative Approaches including Semiotics Research, Complexity Theory and Gender in IS Research. The Journal of Information Technology (JIT) was started in 1986 by Professors Frank Land and Igor Aleksander with the aim of bringing technology and management together and bridging the 'great divide' between the two disciplines. The Journal was created with the vision of making the impact of complex interactions and developments in technology more accessible to a wider audience. Retaining this initial focus, the JIT has gone on to extend into new and innovative areas of research such as the launch of JITTC in 2010. A high impact journal, JIT shall continue to publish leading trends based on significant research in the field.

This book presents different use cases in big data applications and related practical experiences. Many businesses today are increasingly interested in utilizing big data technologies for supporting their business intelligence so that it is becoming more and more important to understand the various practical issues from different practical use cases. This book provides clear proof that big data technologies are playing an ever increasing important and critical role in a new cross-discipline research between computer science and business.

An in-depth examination of the concept of value in a digital world, an analysis of a range of digital business models and a framework for assessing the value of digital businesses. Assessing the value of traditional business was easy. There are hard, well tested metrics and tangible, measurable assets you can literally kick the tyres of. But how do you measure the value of something that consists of little more than bits of information, brand awareness and a compelling idea? In the winner takes all digital world how do you know if this idea is one that will attract billions of dedicated users or a few thousand fleeting trialists? And, most importantly, how do you assess whether any given business model is robust enough to make billions or flawed in a way that will lose millions? Lopez Lubian and Esteves look at what economic value means in a digital world, and argue for a shift from traditional value metrics to digital value metrics. Through high profile case studies they examine the process of valuation in the digital world - examining the challenges of making objective judgments from subjective information and how to assess the value of data. Next they analyse in depth a number of different digital business models from the perspective of delivering value to investors, stakeholders and society at large. Finally they present a framework model for assessing value in digital business.

This edited three volume edition brings together significant papers previously published in the Journal of information Technology (JIT) over its 30 year publication history. The three volumes of Enacting Research Methods in Information Systems celebrate the methodological pluralism used to advance our understanding of information technology's role in the world today. In addition to quantitative methods from the positivist tradition, JIT also values methodological articles from critical research perspectives, interpretive traditions, historical perspectives, grounded theory, and action research and design science approaches. Volume 1 covers Critical Research, Grounded Theory, and Historical Approaches. Volume 2 deals with Interpretive Approaches and also explores Action Research. Volume 3 focuses on Design Science Approaches and discusses Alternative Approaches including Semiotics Research, Complexity Theory and Gender in IS Research. The Journal of Information Technology (JIT) was started in 1986 by Professors Frank Land and Igor Aleksander with the aim of bringing technology and management together and bridging the 'great divide' between the two disciplines. The Journal was created with the vision of making the impact of complex interactions and developments in technology more accessible to a wider audience. Retaining this initial focus, the JIT has gone on to extend into new and innovative areas of research such as the launch of JITTC in 2010. A high impact journal, JIT shall continue to publish leading trends based on significant research in the field.

This book examines key aspects of the increasingly important phenomenon of reshoring - the decision of companies to reverse offshoring by bringing manufacturing back from overseas. The aim is to equip readers with a full understanding of the current extent of reshoring, its drivers, and the associated opportunities and challenges. The impact of governments' economic policies on the location choices of entrepreneurs in an era of globalization is carefully analyzed, drawing on experiences in the United States and Italy, where contrasting encouragement is provided for reshoring decisions. The effect on reshoring of recent developments regarding technology, the environment, and other factors is assessed in depth, and readers will also find close scrutiny of the relationship between reshoring and manufacturing performance. The book will be of interest to all academics, researchers, and practitioners with an interest in the manufacturing industry and will be an excellent teaching aid for a variety of courses in different disciplines at both undergraduate and postgraduate level.

Sebastian Meiswinkel studies optimization problems that arise at container ports from a classic optimization as well as from a mechanism design point of view. The first part of this dissertation is focused on scheduling problems with selfish job owners that have private information about their characteristics. Afterwards the transportations of containers between the quay and a storage area is considered. Variants of this problem are analyzed for utilization of reach stackers and straddle carriers.

This book bridges two essential aspects of assessing and achieving business excellence in 21st-century organizations. The author argues that transnational companies face a twofold challenge: managing global knowledge networks and multicultural project teams on the one hand; and interacting and collaborating across boundaries using global communication technologies, on the other. The author also argues that this dual challenge calls for the creation of a business excellence program that fits and thrives within these multicultural environments. In response, he reviews corporate practices in quality management and business excellence frameworks that have been extensively used on a transnational scale to drive organizational performance. The book approaches quality management as an element that is no longer a choice, but has now become a necessity if companies want to compete in highly globalized environments.

The proceedings volume consists of academic papers on decision-making under uncertainty, smart decision, stochastic optimization, management simulation and its applications. It presents some compelling and valuable results on the cutting-edge modeling methods and the practical case studies in the operations management process for power, transportation, and logistics companies.

Korine reframes the question of succession in family and founder-lead businesses as an issue of entrepreneurial choice, concentrating on the challenge of succession for change as opposed to the traditional focus on succession for continuity. It is inevitable that when the leaders of family and founder-lead businesses look to pass on the mantle they naturally want to preserve and maintain the firm they have worked so hard for so long to build up. The shaping influence of family or founder, and the instinctive emotional desire for legacy easily sways succession towards continuity rather than the possibly radical development the business may need to meet new challenges. Succession for Change shows how competitive advantage has evolved over the last twenty-five years and examines the approaches being adopted by current business leaders, succession service providers and the next generation to address the change imperative in succession. Korine's rigorous research and deeply practical approach shows that when change becomes the focus of succession, and developing entrepreneurial values takes precedence over preserving the status quo, succession planning can ensure that firms not only survive the departure of their founders but thrive long after they have gone. He offers a framework for implementing succession as transformation, and rethinking succession governance. The secret is enabling the next generation of leaders to stand on the shoulders of giants rather than be constantly doomed to stand in the shadow of giants.

This book shows how the systems approach is employed by scientists in various countries to solve specific problems concerning railway transport. In particular, the book describes the experiences of scientists from Romania, Germany, the Czech Republic, the UK, Russia, Ukraine, Lithuania and Poland. For many of these countries there is a problem with the historical differences between the railways. In particular, there are railways with different rail gauges, with different signaling and communication systems, with different energy supplies and, finally, with different political systems, which are reflected in the different approaches to the management of railway economies. The book's content is divided into two main parts, the first of which provides a systematic analysis of individual means of providing and maintaining rail transport. In turn, the second part addresses infrastructure and management development, with particular attention to security issues. Though primarily written for professionals involved in various problems concerning railway transport, the book will also benefit manufacturers, railway technical staff, managers, and students with transport specialties, as well as a wide range of readers interested in learning more about the current state of transport in different countries.

This book argues that by integrating effective knowledge management (KM) with project management (PM), the overall project success rate can be improved significantly. It brings together the latest ideas and research on shared approaches to improve performance based on the research and experience of academics and practitioners. The structured collection of articles presents novel theoretical approaches and clear empirical evidence of the value of integrating the two distinct fields. It enables readers to better understand the need to merge KM with PM and appreciate the benefits. It also offers researchers an idea of what lies ahead and how to get there, and helps practitioners develop more suitable KM solutions for successful project outcomes.

This book deals with the main challenges of sustainable development and the role of sustainable business and corporate social responsibility in implementing these challenges through sustainable leadership and innovations. It includes the economic, social, and environmental dimensions of sustainability and emphasizes the importance of achieving a socio-environmental balance in society. The theoretical frameworks and insights from sustainable development implementations on macro and micro levels, as well as the practical examples and case studies provided to introduce the concept of sustainable leadership and its impact on sustainable business development, are a scientific novelty in the field of sustainability. The book is comprised of six interconnected chapters that sequentially reveal the principal provisions of sustainable development, corporate social responsibility, and sustainable leadership, together with their correlations. Features: * Provides cutting-edge examples and case studies of sustainable leadership, viewed as the most significant means for the creation of sustainable organizational culture * Includes case studies on the economic, social, and environmental dimensions of sustainability * Addresses scientific aspects of sustainable development and its challenges * Discusses issues of sustainable development at different scales, ranging from macro to mirco levels * Provides policy implications for sustainable business development The theoretical framework and practical case studies presented in Sustainable Development, Leadership, and Innovations make it an invaluable resource and guide to both the academic and business communities. Business leaders, policy makers, and other professionals, as well as academics and graduate students, will all benefit greatly from this text.

This book applies a new analytical framework to the study of the evolution of large Internet companies such as Apple, Google, Microsoft, Facebook, Amazon and Samsung. It sheds light on the dynamics of business groups, which are approached as 'business ecosystems,' and introduces the concept of Epigenetic Economic Dynamics (EED), which is defined as the study of the epigenetic dynamics generated as a result of the adaptation of organizations to major changes in their respective environments. The book augments the existing literature on evolutionary economic thinking with findings from epigenetics, which are proving increasingly useful in analyzing the workings of large organizations. It also details the theoretical and conceptual nature of recent work based on evolutionary economics, mainly from the perspective of generalized Darwinism, resilience and related variety, and complements the work conducted on evolutionary economics by applying the analytical framework of EED. It makes it easier to forecast future dynamics on the Internet by proving that a sizable number of big business groups are veering from their initial paths to take unprecedented new directions as a result of competition pressure, and as such is a valuable resource for postgraduates and researchers as well as those involved in economics and innovation studies.

This book grows from a conference on the state of the art and recent advances in Efficiency and Productivity. Papers were commissioned from leading researchers in the field, and include eight explorations into the analytical foundations of efficiency and productivity analysis. Chapters on modeling advances include reverse directional distance function, a new method for estimating technological production possibilities, a new distance function called a loss distance function, an analysis of productivity and price recovery indices, the relation of technical efficiency measures to productivity measures, the implications for benchmarking and target setting of imposing weight restrictions on DEA models, weight restrictions in a regulatory setting, and the Principle of Least Action. Chapters on empirical applications include a study of innovative firms that use innovation inputs to produce innovation outputs, a study of the impact of potential "coopetition" or cooperation among competitors on the financial performance of European automobile plants, using SFA to estimate the eco-efficiency of dairy farms in Spain, a DEA bankruptcy prediction model, a combined stochastic cost frontier analysis model/mixture hazard model, the evolution of energy intensity in nine Spanish manufacturing industries, and the productivity of US farmers as they age.

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 proposes a novel approach to classification, discusses its myriad advantages, and outlines how such an approach to classification can best be pursued. It encourages a collaborative effort toward the detailed development of such a classification. This book is motivated by the increased importance of interdisciplinary scholarship in the academy, and the widely perceived shortcomings of existing knowledge organization schemes in serving interdisciplinary scholarship. It is designed for scholars of classification research, knowledge organization, the digital environment, and interdisciplinarity itself. The approach recommended blends a general classification with domain-specific classification practices. The book reaches a set of very strong conclusions: -Existing classification systems serve interdisciplinary research and teaching poorly. -A novel approach to classification, grounded in the phenomena studied rather than disciplines, would serve interdisciplinary scholarship much better. It would also have advantages for disciplinary scholarship. The productivity of scholarship would thus be increased. -This novel approach is entirely feasible. Various concerns that might be raised can each be addressed. The broad outlines of what a new classification would look like are developed. -This new approach might serve as a complement to or a substitute for existing classification systems. -Domain analysis can and should be employed in the pursuit of a general classification. This will be particularly important with respect to interdisciplinary domains. -Though the impetus for this novel approach comes from interdisciplinarity, it is also better suited to the needs of the Semantic Web, and a digital environment more generally. Though the primary focus of the book is on classification systems, most chapters also address how the analysis could be extended to thesauri and ontologies. The possibility of a universal thesaurus is explored. The classification proposed has many of the advantages sought in ontologies for the Semantic Web. The book is therefore of interest to scholars working in these areas as well.

This book contributes a basic framework for and specific insights into interdisciplinary connections between production, logistics, and traffic subsystems. The book is divided into two parts, the first of which presents an overview of interdisciplinarity in value-added networks and freight traffic. This includes an introduction to the topic and a description of an integrated framework of production, logistics, and traffic. Furthermore, it describes the barriers and challenges of interdisciplinary decision-making and project management. In turn, the second part presents domain-specific perspectives on interdisciplinary decision support, exploring domain-specific challenges of interdisciplinary interfaces and requirements for management methods and instruments from the standpoint of production management, logistics management, traffic management, and information technologies.

This book constitutes the proceedings of the 4th International Conference on Decision Support Systems, ICDSST 2018, held in Heraklion, Greece, in May 2018. The main topic of this year's conference was "Sustainable Data-Driven and Evidence Based Decision Support". The 15 papers presented in this volume were carefully reviewed and selected from 71 submissions. They were organized in topical sections named: decision support systems for a sustainable society; decision support systems serving the public; decision support systems in management and organization; and advances in decision support systems' technologies and methods. The EWG-DSS series of International Conference on Decision Support System Technology (ICDSST), starting with ICDSST 2015 in Belgrade, were planned to consolidate the tradition of annual events organized by the EWG-DSS in offering a platform for European and international DSS communities, comprising the academic and industrial sectors, to present state-of-the-art DSS research and developments, to discuss current challenges that surround decision-making processes, to exchange ideas about realistic and innovative solutions, and to co-develop potential business opportunities.

This book starts with an introduction to process modeling and process paradigms, then explains how to query and analyze process models, and how to analyze the process execution data. In this way, readers receive a comprehensive overview of what is needed to identify, understand and improve business processes. The book chiefly focuses on concepts, techniques and methods. It covers a large body of knowledge on process analytics - including process data querying, analysis, matching and correlating process data and models - to help practitioners and researchers understand the underlying concepts, problems, methods, tools and techniques involved in modern process analytics. Following an introduction to basic business process and process analytics concepts, it describes the state of the art in this area before examining different analytics techniques in detail. In this regard, the book covers analytics over different levels of process abstractions, from process execution data and methods for linking and correlating process execution data, to inferring process models, querying process execution data and process models, and scalable process data analytics methods. In addition, it provides a review of commercial process analytics tools and their practical applications. The book is intended for a broad readership interested in business process management and process analytics. It provides researchers with an introduction to these fields by comprehensively classifying the current state of research, by describing in-depth techniques and methods, and by highlighting future research directions. Lecturers will find a wealth of material to choose from for a variety of courses, ranging from undergraduate courses in business process management to graduate courses in business process analytics. Lastly, it offers professionals a reference guide to the state of the art in commercial tools and techniques, complemented by many real-world use case scenarios.