This is a selection of papers representing the best thinking of leading researchers and practitioners in the field of management of technology. Based on a conference on growth through business innovation and entrepreneurship, it addresses a wide range of starting points for technology and innovation managers on how to develop and commercialize new technologies. The book is structured along three themes: entrepreneurship and venture creation; knowledge management; and multi-actor innovation. The first theme essentially deals with entrepreneurial energy, the conditions for its appearance and its success. It focuses mostly on entrepreneurs in innovation, start-ups and venturing activities. The second theme is composed of articles addressing various issues of knowledge and know-how management - the role that information and technologies play to facilitate and create new business opportunities. The third theme discusses the trend towards a multi-actor innovation process, according to which developments are carried out by several organizations, firms or otherwise, each contributing a piece of the innovation puzzle. The concentration is on three areas: the actual implementation of collaborative developments, involving various types of partners; supply and demand chains; and the interplay between technology and its societal context.

The authors present a number of financial market studies that have as their general theme, the econometric testing of the underlying econometric assumptions of a number of financial models. More than 30 years of financial market research has convinced the authors that not enough attention has been paid to whether the estimated model is appropriate or, most importantly, whether the estimation technique is suitable for the problem under study. For many years linear models have been assumed with little or no testing of alternative specification. The result has been models that force linearity assumptions on what clearly are nonlinear processes. Another major assumption of much financial research constrains the coefficients to be stable over time. This critical assumption has been attacked by Lucas (1976) on the grounds that when economic policy changes, the coefficients of macroeconomics models change. If this occurs, any policy forecasts of these models will be flawed. In financial modeling, omitted (possibly non-quantifiable) variables will bias coefficients. While it may be possible to model some financial variables for extended periods, in other periods the underlying models may either exhibit nonlinearity or show changes in linear models. The authors research indicates that tests for changes in linear models, such as recursive residual analysis, or tests for episodic nonlinearity can be used to signal changes in the underlying structure of the market.

The book begins with a brief review of basic linear time series techniques that include autoregressive integrated moving average models (ARIMA), vector autoregressive models (VAR), and models form the ARCH/GARCH class. While the ARIMA and VAR approach models the first moment of a series, models of the ARCH/GARCH class model both the first moment and second moment which is interpreted as conditional or explained volatility of a series. Recent work on nonlinearity detection has questioned the appropriateness of these essentially linear approaches. A number of such tests are shown and applied for the complete series and a subsets of the series. A major finding is that the structure of the series may change over time. Within the time frame of a study, there may be periods of episodic nonlinearity, episodic ARCH and episodic nonstationarity. Measures are developed to measure and relate these events both geographically and with mathematical models. This book will be of interest to applied finance researchers and to market participants.

Ontologies tend to be found everywhere. They are viewed as the silver bullet for many applications, such as database integration, peer-to-peer systems, e-commerce, semantic web services, or social networks. However, in open or evolving systems, such as the semantic web, different parties would, in general, adopt different ontologies. Thus, merely using ontologies, like using XML, does not reduce heterogeneity: it just raises heterogeneity problems to a higher level. Euzenat and Shvaiko's book is devoted to ontology matching as a solution to the semantic heterogeneity problem faced by computer systems. Ontology matching aims at finding correspondences between semantically related entities of different ontologies. These correspondences may stand for equivalence as well as other relations, such as consequence, subsumption, or disjointness, between ontology entities. Many different matching solutions have been proposed so far from various viewpoints, e.g., databases, information systems, and artificial intelligence. The second edition of Ontology Matching has been thoroughly revised and updated to reflect the most recent advances in this quickly developing area, which resulted in more than 150 pages of new content. In particular, the book includes a new chapter dedicated to the methodology for performing ontology matching. It also covers emerging topics, such as data interlinking, ontology partitioning and pruning, context-based matching, matcher tuning, alignment debugging, and user involvement in matching, to mention a few. More than 100 state-of-the-art matching systems and frameworks were reviewed. With Ontology Matching, researchers and practitioners will find a reference book that presents currently available work in a uniform framework. In particular, the work and the techniques presented in this book can be equally applied to database schema matching, catalog integration, XML schema matching and other related problems. The objectives of the book include presenting (i) the state of the art and (ii) the latest research results in ontology matching by providing a systematic and detailed account of matching techniques and matching systems from theoretical, practical and application perspectives.

Embrace data and use it to sell and market your products Data is everywhere and it keeps growing and accumulating. Companies need to embrace big data and make it work harder to help them sell and market their products. Successful data analysis can help marketing professionals spot sales trends, develop smarter marketing campaigns, and accurately predict customer loyalty. Data Driven Marketing For Dummies helps companies use all the data at their disposal to make current customers more satisfied, reach new customers, and sell to their most important customer segments more efficiently. * Identifying the common characteristics of customers who buy the same products from your company (or who might be likely to leave you) * Tips on using data to predict customer purchasing behavior based on past performance * Using customer data and marketing analytics to predict when customers will purchase certain items * Information on how data collected can help with merchandise planning * Breaking down customers into segments for easier market targeting * Building a 360 degree view of a customer base Data Driven Marketing For Dummies assists marketing professionals at all levels of business in accelerating sales through analytical insights.

The globalization of everyday business and increasing international trade lead to a growing need to improve national and international business collaborations and transactions. Upcoming new technologies for e-business transactions allow for new ways of process, information and application integration. But business partners almost always have different ways to systemize the information needed to run the business, in terms of information structure, syntax and semantics. Consequences are mismatch and misunderstanding in electronic transactions. This book shows what ontology management can do for process, information and application integration under dynamic e-business conditions. We not only discuss research results and develop novel methods and frameworks, but also apply them to build business use application components that are deployed as web services.

This book addresses action research (AR), one of the main research methodologies used for academia-industry research collaborations. It elaborates on how to find the right research activities and how to distinguish them from non-significant ones. Further, it details how to glean lessons from the research results, no matter whether they are positive or negative. Lastly, it shows how companies can evolve and build talents while expanding their product portfolio. The book's structure is based on that of AR projects; it sequentially covers and discusses each phase of the project. Each chapter shares new insights into AR and provides the reader with a better understanding of how to apply it. In addition, each chapter includes a number of practical use cases or examples. Taken together, the chapters cover the entire software lifecycle: from problem diagnosis to project (or action) planning and execution, to documenting and disseminating results, including validity assessments for AR studies. The goal of this book is to help everyone interested in industry-academia collaborations to conduct joint research. It is for students of software engineering who need to learn about how to set up an evaluation, how to run a project, and how to document the results. It is for all academics who aren't afraid to step out of their comfort zone and enter industry. It is for industrial researchers who know that they want to do more than just develop software blindly. And finally, it is for stakeholders who want to learn how to manage industrial research projects and how to set up guidelines for their own role and expectations.

This book includes a set of selected papers from the first "International Conference on Enterprise Information Systems," (ICEIS'99) held in SeUtbal, Portugal, from 27 to 30 March 1999. ICEIS focuses on real world applications and aims at becoming a major point of contact between research scientists, engineers and practitioners in the area of business applications of information systems. This year four simultaneous tracks were held, covering different aspects related to enterprise computing, including: Systems Analysis and Specijication, Database Technology and its Applications, Artijicial Intelligence and Decision Support Systems, and Internet and Intranet Computing. Although ICEIS'99 received more than 200 submissions, only 96 papers were accepted for oral presentation and only 24 were selected for inclusion in this book. These numbers demonstrate stringent quality criteria and the intention of maintaining a high quality forum for future editions ofthis conference. A number of additional keynote lectures, case studies and technical tutorials were also held. These presentations, by specialists in different knowledge areas made an important contribution to increase the overall quality of the Conference, and are partially expressed in the first two papers of the book."

This book presents real-world decision support systems, i.e., systems that have been running for some time and as such have been tested in real environments and complex situations; the cases are from various application domains and highlight the best practices in each stage of the system's life cycle, from the initial requirements analysis and design phases to the final stages of the project. Each chapter provides decision-makers with recommendations and insights into lessons learned so that failures can be avoided and successes repeated. For this reason unsuccessful cases, which at some point of their life cycle were deemed as failures for one reason or another, are also included. All decision support systems are presented in a constructive, coherent and deductive manner to enhance the learning effect. It complements the many works that focus on theoretical aspects or individual module design and development by offering 'good' and 'bad' practices when developing and using decision support systems. Combining high-quality research with real-world implementations, it is of interest to researchers and professionals in industry alike.

Mathematical Statistics for Economics and Business, Second Edition, provides a comprehensive introduction to the principles of mathematical statistics which underpin statistical analyses in the fields of economics, business, and econometrics. The selection of topics in this textbook is designed to provide students with a conceptual foundation that will facilitate a substantial understanding of statistical applications in these subjects. This new edition has been updated throughout and now also includes a downloadable Student Answer Manual containing detailed solutions to half of the over 300 end-of-chapter problems. After introducing the concepts of probability, random variables, and probability density functions, the author develops the key concepts of mathematical statistics, most notably: expectation, sampling, asymptotics, and the main families of distributions. The latter half of the book is then devoted to the theories of estimation and hypothesis testing with associated examples and problems that indicate their wide applicability in economics and business. Features of the new edition include: a reorganization of topic flow and presentation to facilitate reading and understanding; inclusion of additional topics of relevance to statistics and econometric applications; a more streamlined and simple-to-understand notation for multiple integration and multiple summation over general sets or vector arguments; updated examples; new end-of-chapter problems; a solution manual for students; a comprehensive answer manual for instructors; and a theorem and definition map. This book has evolved from numerous graduate courses in mathematical statistics and econometrics taught by the author, and will be ideal for students beginning graduate study as well as for advanced undergraduates.

This collection of papers examines issues related to the identification, preservation, and long-term use of electronic records. The articles discuss the functional changes in public administration work; the evolving nature of documentation itself; the limitations and future of traditional instruments and principles; and the technological, conceptual, and economic implications of capturing and retaining data electronically.

Recognizing the increasing importance of environmental issues, energy prices, material availability and efficiency and the difficulty of adequately managing these issues in traditional accounting systems, several companies all over the world have started implementing Environmental and Material Flow Cost Accounting (EMA and MFCA).

Environmental and Material Flow Costs Accounting explains and updates the approach developed for the United Nations Department of Economic and Social Affairs (DSD/UNDESA) and the International Federation of Accountants (IFAC) and in addition includes experiences of several case studies and recent developments regarding EMA and MFCA in national statistics and ISO standardization."

This book examines prominent issues in the Emerging Markets (EM) from a variety of disciplines in order to make useful societal contributions through knowledge exchange. EMs offer enormous opportunities, but realizing them is both challenging and risky due to inherent uncertainties of such markets. EM's also have unique characteristics that makes them different from developed countries. This causes implications for both theory and practice. These markets necessitate substantial adaptations of developed theories and approaches employed in the Western world. This book investigates problems specific to emerging markets, and identifies new theoretical constructs, hypotheses (re)development, and emphasizes institutional contexts. The chapters in this book establish new conceptual and theoretical paradigms from multidisciplinary perspectives concentrated in the areas of information systems, electronic government, and digital and social media matters. The book focuses on topics in these areas such as digital enterprises, sustainability, telemedicine, and Information Communication Technology (ICT) and surveys the potential challenges and opportunities that may arise. These concepts and topics covered in this book are vital for making the global economy more equitable and sustainable.

This book offers a comprehensive guide to implementing SAP and HANA on private, public and hybrid clouds. Cloud computing has transformed the way organizations run their IT infrastructures: the shift from legacy monolithic mainframes and UNIX platforms to cloud based infrastructures offering ubiquitous access to critical information, elastic provisioning and drastic cost savings has made cloud an essential part of every organization's business strategy. Cloud based services have evolved from simple file sharing, email and messaging utilities in the past, to the current situation, where their improved technical capabilities and SLAs make running mission-critical applications such as SAP possible. However, IT professionals must take due care when deploying SAP in a public, private or hybrid cloud environment. As a foundation for core business operations, SAP cloud deployments must satisfy stringent requirements concerning their performance, scale and security, while delivering measurable improvements in IT efficiency and cost savings. The 2nd edition of "SAP on the Cloud" continues the work of its successful predecessor released in 2013, providing updated guidance for deploying SAP in public, private and hybrid clouds. To do so, it discusses the technical requirements and considerations necessary for IT professionals to successfully implement SAP software in a cloud environment, including best-practice architectures for IaaS, PaaS and SaaS deployments. The section on SAP's in-memory database HANA has been significantly extended to cover Suite on HANA (SoH) and the different incarnations of HANA Enterprise Cloud (HEC) and Tailored Datacenter Integration (TDI). As cyber threats are a significant concern, it also explores appropriate security models for defending SAP cloud deployments against modern and sophisticated attacks. The reader will gain the insights needed to understand the respective benefits and drawbacks of various deployment models and how SAP on the cloud can be used to deliver IT efficiency and cost-savings in a secure and agile manner.

This textbook reviews and systematically presents the use of the Internet in public administration and politics. Further, it employs a process-oriented layer model to define the opportunities for exchange and participation for all stakeholder groups, covering the following topics: eAssistance, eProcurement, eService, eContracting, eSettlement, eCollaboration, eDemocracy, and eCommunity. In turn, real-world case studies demonstrate the practical applications in industry, administration and research. The second edition of this book has been completely revised and extended, and includes several new case studies. It offers a valuable asset for students in Business, Economics and Political Sciences courses, as well as practitioners interested in emerging opportunities for digital exchange and participation in the knowledge society.

Applied Linear Regression for Business Analytics with R introduces regression analysis to business students using the R programming language with a focus on illustrating and solving real-time, topical problems. Specifically, this book presents modern and relevant case studies from the business world, along with clear and concise explanations of the theory, intuition, hands-on examples, and the coding required to employ regression modeling. Each chapter includes the mathematical formulation and details of regression analysis and provides in-depth practical analysis using the R programming language.

This book explores and analyzes the effects of the globalization strategies of multinational enterprises (MNEs) on national and local development and highlights the implications of these effects for policy makers. Containing contributions from leading international business scholars, the text addresses this previously little explored but critically important issues for the future of the world economy.

Hsu and Pant in Innovative Planning for Electronic Commerce and Enterprises: A Reference Model have proposed a management planning model for developing strategic goals for e-commerce enterprises. The authors feel they may be provocative sometimes; however, the field is so new that there is no working model for an e-commerce enterprise with a proven success record. In this book, Hsu and Pant develop a framework for a working model. This framework has three parts: (1) The first part is the planning model and a methodology. The planning model is based on principles derived from the literature and the author's research. The methodology also uses Value Chain Analysis to connect e-commerce goals with business processes. (2) The second part evaluates the model and calibrates it to industrial cases and established scholarly results in the field. (3) The last part consists of three exploratory plans for some industrial applications, including supply chain integration, Internet banking, and customer service (ordering) for heavy industry. About fifty cases are discussed in the book at various degrees of depth. The three industrial cases illustrate how to apply the planning model using the methodology. Hence, the book's e-commerce reference model is obtained from the planning model, its methodology, and the industrial benchmarks.

Due diligence conducted around technology decisions is complex. Done correctly, it has the power to enable outstanding positive outcomes; done poorly, it can wreak havoc on organizations, corporate cultures, and markets. ""Technology Due Diligence: Best Practices for Chief Information Officers, Venture Capitalists, and Technology Vendors"" develops a due diligence framework for anyone resolving technology decisions intended to help their business achieve positive results. This essential book contains actual case studies that incorporate the due diligence methodology to assist chief information officers, venture capitalists, and technology vendors who wrestle with technology acquisitions challenges on a daily basis.

This book analyses various models of value creation in projects and businesses by applying different forms of Artificial Intelligence in their products and services. First presenting the main concepts and ideas behind AI, Wodecki assesses different models of technology-based value creation based upon the analysis of over 400 case studies. This framework shows how AI may influence both value creation and competitive advantage (efficiency, creativity and flexibility) within a modern organization. Finally, a conceptual model is formulated to evaluate AI-supported in-company projects and new ventures and identify the key managerial and technical competencies required.

The hunt for new forms of value generation is shaping the future of economic and financial interactions, leading to the emergence of innovative business models and technological enablers. Other than challenging our time and space limits, such technological advancements, in some cases, have allowed the generation of value at nearly zero marginal cost. Inevitably, emergent tech solutions are fundamental game changers in digital and conventional finance. In this regard, the book fleshes out the core developments and trending fintech 2.0 solutions that pause challenges and bring opportunities for businesses and economies. It comprises nine main chapters with collective insights and interdisciplinary perspectives covering the business, tech, and regulatory layers of financial technologies and decentralized finance. Besides, the book illustrates how to leverage these state-of-the-art technologies for the evolving digital and decentralized finance world. The book targets a broad audience of researchers, academia, industry professionals, fintech enthusiasts, and the general business audience with timely data and up-to-date cases.

This book is intended to mark the turn of the first century of the information age. The purpose of the book is to denote the transition from past to current to future investigations of the relationships and interactions among four major components: information systems (IS), information technology (IT), organizations, and society. These investigations share a primary focus on the interrelationships, not on the components themselves. The contributions to the book deal with the history of IS theory and technology, with the directions faced by those sharing the concerns of the field in its future research, and with attempts to draw these two views together. Five discourses collectively answer the key question: What is the status of IS, as related to organizations and society, now that we stand at the juncture of the new century?' These discourses deal with the fundamental concepts, the classical and novel challenges, the conceptualization processes, automation, and new technology. What is our story as we turn the first century of the information age? We believe that IT is even more critical in social interaction in organizations, that human language barriers form fundamental roadblocks to IT implementation, that newer forms of IS integrate horizontally rather than vertically, and that the mix of skills and knowledge is changing. We also find that we lack integrated approaches to risk management, that new social costs are being unleashed on people by the wiring of society, and we are rushing headlong into globalized systems with our eyes closed. We reveal how the old end-user tension between central control and innovation has reappeared in the intranet world, how IT has been converted into acultural commodity, and explore how the video screen has become the central means for discovering our relevance to our universe. We explore the surprising ways that machines have acquired human status, not through robotics, but rather through social construction. We discover new norms for defining the relationships and exchanges between human beings and computers. For example, gender defines IS success and web design defines social relationships. Consequently, we show how systems must now be developed interpretively, rather than through rational&endash;technical IS design principles used in the last century.

Patrick Humphreys Department of Social Psychology London School of Economics and Political Science, Houghton Street, London WC2A 2AE. Email: P. Humphreys@lse. ac. uk This book presents a selection of contributions to the conference on Implementing Systems for Supporting Management Decisions: Concepts, Methods, and Experiences held in London in July, 1996. The conference was organized by the International Federation of Infonnation Processing's Working Group 8. 3 on Decision Support Systems and the London School of Economics and Political Science. (LSE). The Programme Committee for the Conference comprised Liam Bannon, University of Limerick; Patrick Humphreys, LSE, co-chairperson; Andrew McCosh, University of Edinburgh; Piero Migliarese, Politecnico di Milano, co chairperson; Jean-Charles Pomerol, LAFORIA, Universite Paris VI. The chairperson of the organizing committee was Dina Berkeley, LSE. The programme committee members served also as the editors of this book. Each contribution was selected by the editors after peer review and was developed by its authors specifically for inclusion in this volume. Working group 8. 3 was formally established in 1981 on the recommendation ofIFIP's Technical Committee on Information Systems (TC8). The scope of the working group covers: "Development of approaches for applying information systems technology to increase the effectiveness of decision makers in situations where the computer system can support and enhance human judgment in the perfonnance of tasks that have elements that cannot be specified in advance."

This book focuses on the factors that support the strengths of international airlines in general and the Asian airline carriers in particular. Defining the quality of human capital as the level of education and the competence of airline employees, it analyzes the efficiency of 39 airlines in various regions, both in terms of production and cost structures. It argues that, despite Asia's well-developed and globally competitive manufacturing sector, aided by open market practices, its overall service sector still lags far behind more advanced economies. As this does not stop Asia-based carriers from generally being more efficient than their counterparts in Europe and North America, the book investigates how competitiveness analysis of the airline industry can help Asian policymakers better prepare for the liberalization of the service sector, given how crucial this aspect is for the future growth of the Asia-Pacific region. Efficiency and Competitiveness of International Airlines offers a valuable resource for policymakers, airline employees, and researchers and students of microeconomics.

This book introduces the reader to the latest innovations in fields such as artificial intelligence, systems biology or surgery, and gives advice on what new technologies to consider for becoming a market leader of tomorrow. Companies generally acquire information on these fields from various sources such as market reports, scientific literature or conference events, but find it difficult to distinguish between mere hype and truly valuable innovations. This book offers essential guidance in the form of structured and authoritative contributions by experts in innovative technologies spanning from biology and medicine to augmented reality and smart power grids. The authors identify high-potential fields and demonstrate the impact of their technologies to create economic value in real-world applications. They also offer business leaders advice on whether and how to implement these new technologies and innovations in their companies or businesses. Chapter 13 Analytic Philosophy for Biomedical Research: The Imperative of Applying Yesterday's Timeless Messages to Today's Impasses by Sepehr Ehsani is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.

This book investigates organizational learning from a variety of information processing perspectives. Continuous change and complexity in regulatory, social and economic environments are increasingly forcing organizations and their employees to acquire the necessary job-specific knowledge at the right time and in the right format. Though many regulatory documents are now available in digital form, their complexity and diversity make identifying the relevant elements for a particular context a challenging task. In such scenarios, business processes tend to be important sources of knowledge, containing rich but in many cases embedded, hidden knowledge. This book discusses the possible connection between business process models and corporate knowledge assets; knowledge extraction approaches based on organizational processes; developing and maintaining corporate knowledge bases; and semantic business process management and its relation to organizational learning approaches. The individual chapters reveal the different elements of a knowledge management solution designed to extract, organize and preserve the knowledge embedded in business processes so as to: enrich organizational knowledge bases in a systematic and controlled way, support employees in acquiring job role-specific knowledge, promote organizational learning, and steer human capital investment. All of these topics are analyzed on the basis of real-world cases from the domains of insurance, food safety, innovation, and funding.