Recent years have seen a radical upheaval in use of IT in the service and financial sectors. The turbulent conditions created by economic deregulation, political re-regulation and privatisation have produced considerable challenges to the effective and efficient management of IT. Managers Divided is concerned with the use and development of IT in commercial organisations. Its particular focus is on the major shifts that are taking place in the management and use of IT in organisations struggling to come to terms with a rapidly changing market and regulatory environments. It examines the deeply political nature of IT management, innovation and change. The authors analyse the shift from a technology-led to a strategic and marketing-led use of IT. They study the use and development of IT through detailed localised studies of management practice that are understood to be influenced by, and have consequences for, broader socio-political, economic, organisational, and technological conditions. Graduates and undergraduates studying corporate and strategic management, management information systems, work and employment gender research, organisation studies and finance will find this book an invaluable asset. Information Systems specialists and practitioners in financial services will find the book a useful source of information.

E-government faces huge challenges in achieving interoperability and integration, taking into account differences in laws, regulations, services, administrative processes and languages across regions and countries. On the other hand, issues like service, data and process integration have been researched by the Semantic Web community for several years now, and in the last two to three years we have witnessed the first applications of semantic technologies in real, operational e-government systems in both Europe and the US which address exactly these challenges.

With this book, the editors present the latest research results on how to use semantic technologies in order to improve or even revolutionize the use of ICT in public administration systems. The contributions are organized into three parts: architectures and process integration, ontologies and interoperability, and portals and user interactions. They give a broad overview of how semantic technologies have been applied in different e-government projects funded from the European program for ICT Research and Development, and they cover a wide spectrum of semantic technologies such as development of domain and service ontologies, semantic enhancements of business process models, semantic Service-Oriented Architectures (SOAs) based on Semantic Web Services (SWS) frameworks, and ontology-based knowledge management.

In this volume, researchers of Semantic Web technologies will find a wealth of challenging real-world scenarios to stimulate new fields of research, while developers of e-government systems as well as other stakeholders in public administration will appreciate the detailed presentations and discussions of numerous applications in areas such as e-government portals, personalization of Web-based public services, or integration and orchestration of public administration processes.

This book is comprised of presentations delivered at the 5th Workshop on Biostatistics and Bioinformatics held in Atlanta on May 5-7, 2017. Featuring twenty-two selected papers from the workshop, this book showcases the most current advances in the field, presenting new methods, theories, and case applications at the frontiers of biostatistics, bioinformatics, and interdisciplinary areas. Biostatistics and bioinformatics have been playing a key role in statistics and other scientific research fields in recent years. The goal of the 5th Workshop on Biostatistics and Bioinformatics was to stimulate research, foster interaction among researchers in field, and offer opportunities for learning and facilitating research collaborations in the era of big data. The resulting volume offers timely insights for researchers, students, and industry practitioners.

A much-needed addition to literature, this timely edited collection aims to provide clarity and understanding on how modern organizations work. The authors explore the characteristics of hybrid organizations in contemporary society, taking into account the complex societal challenges that face businesses today. Arguing that hybrid organizations are in fact not a new phenomenon, this thought-provoking collection goes beyond existing research and re-evaluates our traditional understanding of this concept. Scholars of organization, management and innovation will find this book an insightful read, as it sheds light on the fundamental aspects that shape today's hybrid organizations.

The entertainment industry has long been dominated by legendary screenwriter William Goldman's "Nobody-Knows-Anything" mantra, which argues that success is the result of managerial intuition and instinct. This book builds the case that combining such intuition with data analytics and rigorous scholarly knowledge provides a source of sustainable competitive advantage - the same recipe for success that is behind the rise of firms such as Netflix and Spotify, but has also fueled Disney's recent success. Unlocking a large repertoire of scientific studies by business scholars and entertainment economists, the authors identify essential factors, mechanisms, and methods that help a new entertainment product succeed. The book thus offers a timely alternative to "Nobody-Knows" decision-making in the digital era: while coupling a good idea with smart data analytics and entertainment theory cannot guarantee a hit, it systematically and substantially increases the probability of success in the entertainment industry. Entertainment Science is poised to inspire fresh new thinking among managers, students of entertainment, and scholars alike. Thorsten Hennig-Thurau and Mark B. Houston - two of our finest scholars in the area of entertainment marketing - have produced a definitive research-based compendium that cuts across various branches of the arts to explain the phenomena that provide consumption experiences to capture the hearts and minds of audiences. Morris B. Holbrook, W. T. Dillard Professor Emeritus of Marketing, Columbia University Entertainment Science is a must-read for everyone working in the entertainment industry today, where the impact of digital and the use of big data can't be ignored anymore. Hennig-Thurau and Houston are the scientific frontrunners of knowledge that the industry urgently needs. Michael Koelmel, media entrepreneur and Honorary Professor of Media Economics at University of Leipzig Entertainment Science's winning combination of creativity, theory, and data analytics offers managers in the creative industries and beyond a novel, compelling, and comprehensive approach to support their decision-making. This ground-breaking book marks the dawn of a new Golden Age of fruitful conversation between entertainment scholars, managers, and artists. Allegre Hadida, Associate Professor in Strategy, University of Cambridge

Three years ago, the first Liquid Legal book compelled the legal profession to reassess its identity and to aspire to become a strategic partner for corporate executives as well as for clients. It also led to the foundation of the Liquid Legal Institute (LLI) - an association that sparks innovation and drives collaboration in the legal industry. This second Liquid Legal book builds on the LLI's progress and on the lessons learned by a legal community that has moved beyond focusing purely on LegalTech. It not only presents an outlook on how legal professionals will operate in the future, but also allows readers to develop a genuine understanding of the value of digitalization, standardization and new methodologies. Further, the book outlines a Common Legal Platform (CLP) and makes it the common point of departure for every author, offering inspiring insights from a wide range of forward-thinking experts who are all invested in driving new thinking within the legal ecosystem. The book also features "Liquid Legal Waves," which provide links between the various articles, connecting concrete ideas, practical solutions and specific topics and putting them into perspective, and so creating a true network of ideas for readers. A must read, this book is vibrant proof of the power of sharing, collaboration and coopetition, helping the legal profession to shape its digital future and revitalize its relevance while retaining a focus on the human lawyer.

This book responds to the increasing speed with which the domain of electronic procurement has been evolving, as well to the significant advances predicted to take place in the near future. Covering the fundamentals of electronic procurement as well as advanced applications, the main focus is on the critical importance of information technology for modern supply management professionals. Tracing the evolution of electronic procurement over the last 20 years, the book illustrates how the concept has evolved from a novel idea into a standard approach that cannot be neglected, fundamentally transforming business as usual. The transformation is highlighted by the evolution of online reverse auctions, as well as the ensuing expansion of technology to virtually all aspects of strategic sourcing in the form of integrated electronic sourcing suites. Several advances and new applications of electronic procurement are presented, with an emphasis on how social media can be leveraged for supply management and its associated significant potential.

This book provides state-of-the-art descriptions of smart service innovations in the industry, supported by novel scientific approaches. It gathers findings and insights presented at the fourth Smart Services Summit, held in Zurich, Switzerland, in October 2021, which primarily focused on how smart services have enabled companies to adapt during and to the COVID-19 pandemic. The book includes examples of remote and collaborative working that actively involve customers in service processes, requiring a change in mindset for more traditional firms. Moreover, it explores how services can be delivered faster and more affordable with the aid of new technologies and in collaboration with the customers, leading to new value propositions and business models and thus an evolution of smart services. Given its scope, the book offers an essential guide for practitioners and advanced students alike.

Business schools have been criticized for several things, such as lacking relevance, a too weak ethics orientation, dated paradigms, or commercialization. Simultaneously, there has been much positive change and accelerated dynamics toward forming future-ready companies and graduates. This book outlines how to better understand and master the digital transformation challenge. It is essential that business school deans, program directors, and faculty members embrace new opportunities to bring the UN-backed Principles of Responsible Management Education (PRME) to life successfully. Part of the Humanism in Business series, this book constitutes a valuable resource for leaders in universities and business schools, as well as individual faculty members aspiring to optimize how they respond to digital transformation. It can also be of use to those studying responsible management education, leadership and business ethics more generally.

This book provides an overview of data mining methods demonstrated by software. Knowledge management involves application of human knowledge (epistemology) with the technological advances of our current society (computer systems) and big data, both in terms of collecting data and in analyzing it. We see three types of analytic tools. Descriptive analytics focus on reports of what has happened. Predictive analytics extend statistical and/or artificial intelligence to provide forecasting capability. It also includes classification modeling. Diagnostic analytics can apply analysis to sensor input to direct control systems automatically. Prescriptive analytics applies quantitative models to optimize systems, or at least to identify improved systems. Data mining includes descriptive and predictive modeling. Operations research includes all three. This book focuses on descriptive analytics. The book seeks to provide simple explanations and demonstration of some descriptive tools. This second edition provides more examples of big data impact, updates the content on visualization, clarifies some points, and expands coverage of association rules and cluster analysis. Chapter 1 gives an overview in the context of knowledge management. Chapter 2 discusses some basic software support to data visualization. Chapter 3 covers fundamentals of market basket analysis, and Chapter 4 provides demonstration of RFM modeling, a basic marketing data mining tool. Chapter 5 demonstrates association rule mining. Chapter 6 is a more in-depth coverage of cluster analysis. Chapter 7 discusses link analysis. Models are demonstrated using business related data. The style of the book is intended to be descriptive, seeking to explain how methods work, with some citations, but without deep scholarly reference. The data sets and software are all selected for widespread availability and access by any reader with computer links.

This open access book brings together perspectives from multiple disciplines including psychology, law, IS, and computer science on data privacy and trust in the cloud. Cloud technology has fueled rapid, dramatic technological change, enabling a level of connectivity that has never been seen before in human history. However, this brave new world comes with problems. Several high-profile cases over the last few years have demonstrated cloud computing's uneasy relationship with data security and trust. This volume explores the numerous technological, process and regulatory solutions presented in academic literature as mechanisms for building trust in the cloud, including GDPR in Europe. The massive acceleration of digital adoption resulting from the COVID-19 pandemic is introducing new and significant security and privacy threats and concerns. Against this backdrop, this book provides a timely reference and organising framework for considering how we will assure privacy and build trust in such a hyper-connected digitally dependent world. This book presents a framework for assurance and accountability in the cloud and reviews the literature on trust, data privacy and protection, and ethics in cloud computing.

This book illustrates the importance effective cost management systems in providing a supportive environment in which reliable and relevant management information can be generated. Such a cost management system is only attainable if the importance of key business, operational and stakeholder requirements are recognised within the organisational context. In illustrating this importance, this book provides several case studies as examples thereof. The first two case studies focus on the engineering sector and illustrates the development of a cost management system in a water recycling context; and the design of a budgetary system in a mining engineering context. The remaining case studies focus on the services sector, including cost management systems for a digital technology services provider and a medical insurance services provider; an alternative activity-based costing approach for a public sector services provider; and finallya re-designed value stream for an automotive services provider. Academic researchers and industry managers in the fields of management accounting and financial management, as well as engineering and operations management, will find value in the experiences described herein.

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. Researchers have identified metrics, developed models, and conducted studies, which are featured in this book, and in the previous volumes of this series. Offering readers a closer look at design thinking, and its innovation processes and methods, this volume covers topics ranging from understanding success factors of design thinking to exploring the potential that lies in the use of digital technologies. Furthermore, readers learn how special-purpose design thinking can be used to solve thorny problems in complex fields, such as the health sector or software development. Thinking and devising innovations are inherently human activities - so is design thinking. Accordingly, design thinking is not merely the result of special courses or of being gifted or trained: it is a way of dealing with our environment and improving techniques, technologies and life. As such, the research outcomes compiled in this book should increase knowledge and provide inspiration to all seeking to drive innovation - be they experienced design thinkers or newcomers.

This book discusses the opportunities and conditions that digital technology provides to extend, innovate and differentiate the services offered by consulting companies. It introduces suitable artefacts like web-based consulting platforms, consulting applications, semantic technologies and tools for data mining and collaboration. Furthermore it examines concepts to evaluate the virtualization of consulting processes and showcases how solutions can be developed to blend traditional and digital consulting models. Presenting state-of-the-art research and providing a comprehensive overview of the methods and techniques needed for digital transformation in the consulting industry, the book serves as both a guide and a roadmap for innovative consulting companies.

Business managers, management consultants and researchers regularly question whether and how the contribution of IT to business performance can be measured. This book contributes to the art and science of the expost valuation of IT, by posing and answering key management questions, offering insights into the value of IT once it has been developed, implemented and used. Measuring the Value of Information Technology targets business managers, IT managers, business students and researchers and will enable its readers to systematically, effectively and consistently measure the value of Information Technology.

This book highlights the importance of talent management practices in recruiting, developing and retaining talented professionals in the digital and IT&C industry. It unpacks the distinctive characteristics of 'digital talent' represented by a wide spectrum of professionals and managers with digital abilities, competencies and skills who add considerable value to organizations and industries worldwide. It shows that despite digital talent's increased variety and significant contribution to digital transformation processes, much of the existing human resource and talent management research and practice fail to account for their distinctiveness. This book calls for the need for a new kind of talent management, referred to as 'digital talent management' (DTM) that is applicable to digital talent and decidedly integrates digital talent's distinctive characteristics into talent management strategies and practices in a human-centered manner. Drawing upon existing, yet disconnected, streams of literature and empirical evidence derived from the information technology and communication (IT&C) industry, this book defines digital talent and delineates strategies to attract, develop and retain them for an uncertain and renewed future.

This book pulls together robust practices in Partial Least Squares Structural Equation Modeling (PLS-SEM) from other disciplines and shows how they can be used in the area of Banking and Finance. In terms of empirical analysis techniques, Banking and Finance is a conservative discipline. As such, this book will raise awareness of the potential of PLS-SEM for application in various contexts. PLS-SEM is a non-parametric approach designed to maximize explained variance in latent constructs. Latent constructs are directly unobservable phenomena such as customer service quality and managerial competence. Explained variance refers to the extent we can predict, say, customer service quality, by examining other theoretically related latent constructs such as conduct of staff and communication skills. Examples of latent constructs at the microeconomic level include customer service quality, managerial effectiveness, perception of market leadership, etc.; macroeconomic-level latent constructs would be found in contagion of systemic risk from one financial sector to another, herd behavior among fund managers, risk tolerance in financial markets, etc. Behavioral Finance is bound to provide a wealth of opportunities for applying PLS-SEM. The book is designed to expose robust processes in application of PLS-SEM, including use of various software packages and codes, including R. PLS-SEM is already a popular tool in marketing and management information systems used to explain latent constructs. Until now, PLS-SEM has not enjoyed a wide acceptance in Banking and Finance. Based on recent research developments, this book represents the first collection of PLS-SEM applications in Banking and Finance. This book will serve as a reference book for those researchers keen on adopting PLS-SEM to explain latent constructs in Banking and Finance.

"We see our customers as invited guests to a party, and we are the hosts. It's our job every day to make every important aspect of the customer experience a little bit better." Jeff Bezos, Founder and CEO of Amazon.com This proceedings volume explores the ways in which marketers can learn about customers through big data and other sources to create an enhanced customer experience. Consumers today do not simply demand engaging online or offline experiences anymore; they increasingly focus on one seamless experience throughout their journey across virtual and real spaces. While shopping in a physical store, consumers are checking their smart phones for customer reviews and competitive information, and catching a Pokemon or two at the same time. Online experience is no longer only about price shopping and convenience, and offline is no longer only about SKUs. Individual channels matter less and less; it is the omni-channel experience that is becoming main-stream. Marketers need to keep pace and continually adapt and contribute to the changing consumer landscape. Through countless touchpoints across different channels and media, marketers today can learn more about their customers and are better equipped than ever to provide them with a desired augmented experience: easy, fun, engaging, and efficient. Featuring the full proceedings from the 2018 Academy of Marketing Science (AMS) Annual Conference held in New Orleans, Louisiana, this volume provides ground-breaking research from scholars and practitioner from around the world that will help marketers continue to engage their customers in this new landscape. 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.

This book features a collection of high-quality research papers presented at the International Conference on Tourism, Technology & Systems (ICOTTS 2020), held at the University of Cartagena, in Cartagena de Indias, Colombia, from 29th to 31st October 2020. The book is divided into two volumes, and it covers the areas of technology in tourism and the tourist experience, generations and technology in tourism, digital marketing applied to tourism and travel, mobile technologies applied to sustainable tourism, information technologies in tourism, digital transformation of tourism business, e-tourism and tourism 2.0, big data and management for travel and tourism, geotagging and tourist mobility, smart destinations, robotics in tourism, and information systems and technologies.

Exploring the Cloud Computing (CC) commercial landscape as it matures; this book asserts that the key ingredient in sustaining the Software as a Service (SaaS) business model is subscription renewal. Chronicling the evolution and future trajectory of the CC concept, the authors examine the new paradigm it is creating for the distribution of computer software applications among business-to-business (B2B) clients. CC enabled SaaS has been fundamentally changing the revenue expectations and business model for the application software industry, and impacting on how SaaS providers pursue, acquire and retain B2B clients. Securing SaaS subscription renewal is critical to the survival and prosperity of this business as attrition can have a significant impact on the financial viability of SaaS businesses based on this model. Focusing on the B2B client and the SaaS industry dependency on renewal subscriptions delivered through the CC channel, the primary research presented in this book seeks to examine the key drivers behind the B2B SaaS subscription renewal decision and, in doing so, to explore the recurring revenue framework for the Cloud SaaS business.

Architectural coordination of enterprise transformation (ACET) integrates and aggregates local information and provides different viewpoints, such as financial, structural, or skill perspectives to the respective stakeholder groups, with the aim of creating a consensus and shared understanding of an enterprise transformation among the stakeholders. Its core purpose is to inform decision-makers with both local and enterprise-wide concerns so that the overall transformation goals can be successfully pursued, i.e. reducing inconsistencies and including local decisions in the overarching goals. This book consists of three major parts, framed by an introduction and a summary. To enable readers to gain a better understanding of the issues involved in real-world enterprise transformations as well as the possible role of architectural coordination and the associated challenges, Part I provides an analysis of status quo of corporate ACET practice. Part II then continues with an exploration of the challenges facing ACET from a theoretical perspective. Based on these challenges, Part III then presents a collection of components for a possible design theory for ACET. Instead of an integrated method, this collection of components constitutes method fragments that can be arranged in different ways depending on the perspective taken, the actual enterprise architecture management approach, the enterprise transformation type and the transformation's context.

The Mind under the Axioms reviews two basic ingredients of our understanding of human decisions - conative aspects (preferences) and cognitive aspects (beliefs). These ingredients are axiomatized in modern decision theory in the view to obtain a formally and empirically tractable representation of the decision-maker. The main issue developed in this book is the connection between realistic and testable psychological features and the descriptive component of abstract axioms of rationality. It addresses three main topics for which the interaction between axiomatization and psychology leads to potential new developments in experimental decision-theory and puts strictures on the standard revealed preference methodology prevailing in that field. The possibility of a cardinal representation of preferences is discussed. Different ways of accounting for incomplete preferences, and in which sense, are analysed. Finally, the conditions of separability between preferences and beliefs, such as prescribed by axioms of state-independence, are submitted to actual and potential tests. The book offers a bridge between the disciplines of decision-theory, psychology, and neuroeconomics. It is thus relevant for those, in psychology and cognitive sciences, who are sometimes put off by the high degree of formalism and abstraction in decision-theory, that seems to lie beyond the reach of psychological realism. It also aims to convince those in decision-theory for whom psychological realism and empirical testability should not constrain the modelling enterprise that conceptual clarification can come from attempted experimentation.

This book has become one of the main statistical tools for the analysis of economic and financial data. Designed for both theoreticians and practitioners, this book provides a comprehensive treatment of GMM estimation and inference. All the main statistical results are discussed intuitively and proved formally, and all the inference techniques are illustrated using empirical examples in macroeconomics and finance. This book is the first to provide an intuitive introduction to the method combined with a unified treatment of GMM statistical theory and a survey of recent important developments in the field.
About the Series
Advanced Texts in Econometrics is a distinguished and rapidly expanding series in which leading econometricians assess recent developments in such areas as stochastic probability, panel and time series data analysis, modeling, and cointegration. In both hardback and affordable paperback, each volume explains the nature and applicability of a topic in greater depth than possible in introductory textbooks or single journal articles. Each definitive work is formatted to be as accessible and convenient for those who are not familiar with the detailed primary literature.

This edited volume highlights the latest advances in and findings from research on service automation in public sector organizations. The contributing authors use a mix of social and technological approaches to increase readers' understanding of public service automation. The respective chapters discuss the automation of services in public organizations from a conceptual standpoint, present empirical examples of automation applications in public organizations, and consider the implementation-related challenges that can arise. The book's overall goal is to aid and inspire researchers and practitioners to expand their knowledge of service automation in public organizations, while also providing a foundation for policy development and future research. Following a brief introductory chapter, the book addresses major gaps in our current understanding of service automation in public organizations, and provides suggestions for future research. Moreover, it argues that there is a continued need to observe and learn from empirical examples, and a need for more critical studies on the social and societal consequences of increased service automation in public organizations.