Public Management Information Systems provides public administrators with a map of the key actors and processes they need to be aware of if they are to be successful in making IT decisions in the public sector. This is the first single-authored book to focus on the key processes faced by managers in governmental organizations, including planning, purchasing, training and learning, politics, accountability, ethics, best practices, and evaluation. ""Public Management Information Systems"" features practical examples drawn from governmental organizations, combined with a comprehensive synthesis of research from both public and private sectors. This book also identifies key concepts and offers review questions and practical exercises to give public administration learners direction in furthering their knowledge in this key area of management.

Faced with a depleted planet and a series of connected crises, socially-minded agents and entities within the world of culture and the arts are reacting from within. With insights from sociology, economics, and cultural management and policy, this book aims to chronicle the journey of SMart - a cultural and artistic social enterprise now present in eight European countries - in order to illustrate such organisation's efforts to achieve its potential for social innovation and transformation. Tackling the endemic precariousness and intermittency of work through innovative arrangements for cultural workers and artists has been central to these efforts. In many cases, however, this activism not only had a direct impact at the level of individual and collective labor, but has transformed the ways culture is 'governed'. Readers of this book will better understand the connection between social innovation and culture and the arts; gain awareness of the trends and transformations within the field of culture and cultural work and their connection with institutional arrangements: and critically engage with the processes, challenges and benefits of scaling up and diffusing social innovation. The debates presented will be of relevance to scholars and students across disciplines, policy makers at both EU and national levels, practitioners and social activists.

Cognition-driven decision support system (DSS) has been recognized as a paradigm in the research and development of business intelligence (BI). Cognitive decision support aims to help managers in their decision making from human cognitive aspects, such as thinking, sensing, understanding and predicting, and fully reuse their experience. Among these cognitive aspects, decision makers situation awareness (SA) and mental models are considered to be two important prerequisites for decision making, particularly in ill-structured and dynamic decision situations with uncertainties, time pressure and high personal stake. In today s business domain, decision making is becoming increasingly complex. To make a successful decision, managers SA about their business environments becomes a critical factor.

This book presents theoretical models as well practical techniques of cognitiondriven DSS. It first introduces some important concepts of cognition orientation in decision making process and some techniques in related research areas including DSS, data warehouse and BI, offering readers a preliminary for moving forward in this book. It then proposes a cognition-driven decision process (CDDP) model which incorporates SA and experience (mental models) as its central components. The goal of the CDDP model is to facilitate cognitive decision support to managers on the basis of BI systems. It also presents relevant techniques developed to support the implementation of the CDDP model in a BI environment. Key issues addressed of a typical business decision cycle in the CDDP model include: natural language interface for a manager s SA input, extraction of SA semantics, construction of data warehouse queries based on the manger s SA and experience, situation information retrieval from data warehouse, how the manager perceives situation information and update SA, how the manager s SA leads to a final decision. Finally, a cognition-driven DSS, FACETS, and two illustrative applications of this system are discussed."

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.

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.

The overall mission of this book is to provide a comprehensive understanding and coverage of the various theories and models used in IS research. Specifically, it aims to focus on the following key objectives: To describe the various theories and models applicable to studying IS/IT management issues. To outline and describe, for each of the various theories and models, independent and dependent constructs, reference discipline/originating area, originating author(s), seminal articles, level of analysis (i.e. firm, individual, industry) and links with other theories. To provide a critical review/meta-analysis of IS/IT management articles that have used a particular theory/model.To discuss how a theory can be used to better understand how information systems can be effectively deployed in today's digital world.

This book contributes to our understanding of a number of theories and models. The theoretical contribution of this book is that it analyzes and synthesizes the relevant literature in order to enhance knowledge of IS theories and models from various perspectives. To cater to the information needs of a diverse spectrum of readers, this book is structured into two volumes, with each volume further broken down into two sections.

The first section of Volume 1 presents detailed descriptions of a set of theories centered around the IS lifecycle, including the Success Model, Technology Acceptance Model, User Resistance Theories, and four others. The second section of Volume 1 contains strategic and economic theories, including a Resource-Based View, Theory of Slack Resources, Portfolio Theory, Discrepancy Theory Models, and eleven others.

The first section of Volume 2 concerns socio-psychological theories. These include Personal Construct Theory, Psychological Ownership, Transactive Memory, Language-Action Approach, and nine others. The second section of Volume 2 deals with methodological theories, including Critical Realism, Grounded Theory, Narrative Inquiry, Work System Method, and four others.

Together, these theories provide a rich tapestry of knowledge around the use of theory in IS research. Since most of these theories are from contributing disciplines, they provide a window into the world of external thought leadership."

This book focuses on several issues in the essence of information systems and their development as well as advanced utilization of new information technology. This book includes both theoretical foundations and practical approaches for each topic and should prove useful both to scientists in the field of information system science and to practitioners in information systems development and use. Many of the topics treated here have not appeared in the literature, although they are becoming increasingly important in the development of information systems. Topics covered include: contingencies in IT decision making; intelligent executive information systems; dynamic performance evaluation of information systems; exception handling in information systems, metamethodology of information system development and mobile computing. The outstanding feature of the book is its specific mixture of subjects under one framework of thinking about information systems. The book offers new perspectives on topics which are important today and in the future due to the rapidly changing nature of information systems and information technology. A useful book to researchers and systems developers, the book can also form the basis of an advanced course in information systems development.

Inquiring Organizations: Moving from Knowledge Management to Wisdom' assembles into one volume a comprehensive collection of the key current thinking regarding the use of C. West Churchman's Design of Inquiring Systems as a basis for computer-based inquiring systems design and implementation. Inquiring systems are systems that go beyond knowledge management to actively inquire about their environment. While self-adaptive is an appropriate adjective for inquiring systems, they are critically different from self-adapting systems as they have evolved in the fields of computer science or artificial intelligence. Inquiring systems draw on epistemology to guide knowledge creation and organizational learning. As such, we can for the first time ever, begin to entertain the notion of support for wise"" decision-making. Readers of ""Inquiring Organizations: Moving from Knowledge Management to Wisdom"" will gain an appreciation for the role that epistemology can play in the design of the next generation of knowledge management systems, systems that focus on supporting wise decision-making processes.

There is no shortage of strategic reasons for taking partnering seriously in today’s converging and colliding marketplace. However, there certainly is a lack of credible explanations as to why so many fail.

This book provides the ingredients for successful business partnerships. It identifies the value that effective partnerships can generate, the reasons why so many run into difficulties, and the imperatives for leaders who want to make partnering work in a globalized, digital world.

A powerful series of insights into one of the major issues of our time: how to create a partnership that generates innovation and other key advantages. Original, perceptive, wise and easy to read. –Dr Charles Hampden-Turner, Cambridge University, Judge Institute of Management Studies

Deering and Murphy have written with great clarity and insight on a difficult subject. Partnering will continue to grow in importance as firms shrink in size and look outside their boundaries for some of their critical resources. This book offers clear and practical guidelines for the manager who has to grapple with the multilevel and multicultural complexities of the partnering process. I highly recommend it. –Max Boisot, Snider Center for Entrepreneurial Research, Wharton Business School

The book serves as a connecting medium between various domains and Blockchain technology, discussing and embracing how Blockchain technology is transforming all the major sectors of the society. The book facilitates sharing of information, case studies, theoretical and practical knowledge required for Blockchain transformations in various sectors. The book covers different areas that provide the foundational knowledge and comprehensive information about the transformations by Blockchain technology in the fields of business, healthcare, finance, education, supply-chain, sustainability and governance. The book pertains to students, academics, researchers, professionals, and policy makers working in the area of Blockchain technology and related fields.

Nearly everyone knows K-means algorithm in the fields of data mining and business intelligence. But the ever-emerging data with extremely complicated characteristics bring new challenges to this "old" algorithm. This book addresses these challenges and makes novel contributions in establishing theoretical frameworks for K-means distances and K-means based consensus clustering, identifying the "dangerous" uniform effect and zero-value dilemma of K-means, adapting right measures for cluster validity, and integrating K-means with SVMs for rare class analysis. This book not only enriches the clustering and optimization theories, but also provides good guidance for the practical use of K-means, especially for important tasks such as network intrusion detection and credit fraud prediction. The thesis on which this book is based has won the "2010 National Excellent Doctoral Dissertation Award", the highest honor for not more than 100 PhD theses per year in China.

This book provides comprehensive guidance on leveraging SAP IBP technology to connect strategic (to be understood as long term SC&O), tactical and operational planning into one coherent process framework, presenting experience shared by practitioners in workshops, customer presentations, business, and IT transformation projects. It offers use cases and a wealth of practical tips to ensure that readers understand the challenges and advantages of IBP implementation. The book starts by characterizing disconnected planning and contrasting this with key elements of a transformation project approach. It explains the functional foundations and SAP Hybris, Trade Promotion Planning, Customer Business Planning, ARIBA, and S/4 integration with SAP IBP. It then presents process for integrating finance in IBP. Annual planning and monthly planning are taken as examples of explain Long term planning (in some companies labeled as strategic). The core of the book is about sales and operations planning (S&OP) and its process steps, product demand, supply review, integrated reconciliation and management business review, illustrating all steps with use cases. It describes unconstrained and constrained optimized supply planning, inventory optimization, shelf life planning. We explain how to improve responsiveness with order-based allocation planning, sales order confirmation, and big deal / tender management coupled with simultaneous re-planning of supply. The book closes with a chapter on performance measurement, measurement of effectiveness, efficiency, and adherence.

The authors offer a revolutionary solution to risk management. It's the unknown risks that keep leaders awake at night-wondering how to prepare for and steer their organization clear from that which they cannot predict. Businesses, governments and regulatory bodies dedicate endless amounts of time and resources to the task of risk management, but every leader knows that the biggest threats will come from some new chain of events or unexpected surprises-none of which will be predicted using conventional wisdom or current risk management technologies and so management will be caught completely off guard when the next crisis hits. By adopting a scientific approach to risk management, we can escape the limited and historical view of experience and statistical based risk management models to expose dynamic complexity risks and prepare for new and never experienced events.

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.

Focusing on modern business systems from within the modern Russian context, this book examines how companies can become leading competitors globally within their industries through new decision making processes. Whilst current practices support the sustainability of a business system in terms of maintaining normal functionality and the prevention of crises, there is a need to consider the goals of leading organizations with larger business systems and greater resources. These goals can be more global in their focus and envisage the creation or strengthening of competitive advantages. Contributors of this book explore large scale industries specializing in hi-tech spheres of economy and instigate innovative activity in the face of high-levels of competition. Specific industries analyzed in this content include digital medicine, energy efficiency and car manufacturers. Using models of optimization and a range of real-world case studies, the book provides tools, technological analysis and techniques for practitioners to use within their own decision-making practices. For scholars researching business management, leadership and decision-making, this book also offers a useful insight into how optimized decision-making processes can be applied to the modern business system.

The growing complexity, fluidity and instability of the environment as well as changing needs are challenges that both enterprises and higher education institutions must face. Higher education institutions understand that their key product, i.e. knowledge, is a value that can and should be offered to enterprises in a desirable form as a key to innovation and development as well as the basis of the necessary internal transformation to respond to requirements of our times. Attempts to explain the process of collaboration between higher education institutions and businesses based on an institutional perspective fail to capture the complexity of this process. The purpose of this book is to develop a model approach to managerial competencies that affect the innovativeness of enterprises and to identify internal and external key factors strengthening or limiting the impact of managerial competencies on the innovativeness of an enterprise including organisational structure, strategy, organisational culture and more. It will be of value to researchers, academics, and students in the fields of entrepreneurship, innovation, management, strategy, and will be particularly useful to organisations that are aware of their operating conditions in the knowledge-based economy and of the impact of the COVID-19 pandemics on the acceleration of the digital transformation of the contemporary world.

This book explores answers to the fundamental questions driving the research, innovation and practices of the latest revolution in scientific, technological and economic development: how does data science transform existing science, technology, industry, economy, profession and education? How does one remain competitive in the data science field? What is responsible for shaping the mindset and skillset of data scientists? Data Science Thinking paints a comprehensive picture of data science as a new scientific paradigm from the scientific evolution perspective, as data science thinking from the scientific-thinking perspective, as a trans-disciplinary science from the disciplinary perspective, and as a new profession and economy from the business perspective.

This book provides a detailed theoretical background of Logistics 4.0 using real-world examples and case studies and proposes a methodological framework to understand the technological revolutions happening in the present day from the perspective of logistics management. With the fourth industrial revolution, new technologies, such as artificial intelligence, cloud computing, 3D printers and the Internet of Things started to take greater prominence in the world of business. One of the sectors most affected by changes brought on by this Industry 4.0 is logistics, which has given rise to the concept of Logistics 4.0. Covering a wide range of topics on Logistics 4.0, such as warehousing, big data, 3D printing, robotics and cloud computing, this book would be a valuable read for those involved in logistics management, academics and students in the areas of supply chain management, logistics, industry 4, and big data. .

This book examines the factors that shape the adoption and continuous usage of new technology by employees in organizations. While within an organization new technology adoption has evolved from its traditional role to a more strategic one, the appropriate adoption of new technology can only add value to organizations. Identifying the factors that influence this adoption process is crucial for successful adoption of new technology in organizations. The study presented in this book focuses on individual, organizational, social, and industrial factors and uses those to offer a comprehensive model of Enterprise Resource Planning (ERP) application adoption. It contributes towards understanding employees' acceptance and adoption of enterprise-level technological innovation, allowing organizations to create a work environment conducive to individual implementation and acceptance of new technology. It appeals to researchers interested in studying the adoption of ERP and other innovative technologies in organizations.

Corruption and the Russian Economy examines why the number of entrepreneurs is declining so rapidly in contemporary Russia, how many economic opportunities are being irrevocably lost each year because of administrative corruption, and why entrepreneurship has become one of the most dangerous occupations in the country over the last decade. Based on extensive research, including in-depth interviews with entrepreneurs and case studies, it reveals a corrupt system of government agencies at both the regional and local levels, and the increasing involvement of public officials in unlawful seizures of businesses. One major conclusion is that the vast majority of informal payments by entrepreneurs to regulatory agencies are made not to achieve illegal advantages, but rather to secure the property rights that they are entitled to under the law.

This book investigates solutions incorporated by architecture boards in global enterprises to resolve issues and mitigate related architecture risks, while also proposing and implementing an adaptive integrated digital architecture framework (AIDAF) and related models and approaches/platforms, which can be applied in companies to promote IT strategies using cloud/mobile IT/digital IT. The book is divided into three main parts, the first of which (Chapters 1-2) addresses the background and motivation for AIDAF aligned with digital IT strategies. The second part (Chapter 3) provides an overview of strategic enterprise architecture (EA) frameworks for digital IT, elaborates on the essential elements of EA frameworks in the digital IT era, and advocates using AIDAF, models for architecture assessment/risk management, knowledge management on digital platforms. In turn, the third part (Chapters 4-7) demonstrates the application and benefits of AIDAF and related models, as shown in three case studies. "I found this book to be a very nice contribution to the EA community of practice. I can recommend this book as a textbook for digital IT strategists/practitioners, EA practitioners, students in universities and graduate schools." (From the Foreword by Scott A. Bernard) "In this new age of the digital information society, it is necessary to advocate a new EA framework. This book provides state-of-the art knowledge and practices about EA frameworks beneficial for IT practitioners, IT strategists, CIO, IT architects, and even students. It serves as an introductory textbook for all who drive the information society in this era."(From the Foreword by Jun Murai)

Blockchain technology may have first emerged with bitcoin but its significance extends far beyond the financial sector: it is ushering in a whole new techno-economic paradigm. This book provides the first critical, in-depth examination of blockchain's transformative impact on the creative industries, including music, media, art and gaming. Drawing on interviews with 10 leading start-ups and a comprehensive review of the literature, the author examines blockchain's impact on business models, addresses the barriers and risks, and concludes with policy recommendations that will help unlock value in the UK's creative economy.

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

This book examines the shifting role of media trust in a digital world, and critically analyzes how news and stories are created, distributed and consumed. Emphasis is placed on the current challenges and possible solutions to regain trust and restore credibility. The book reveals the role of trust in communication, in society and in media, and subsequently addresses media at the crossroads, as evinced by phenomena like gatekeepers, echo chambers and fake news. The following chapters explore truth and trust in journalism, the role of algorithms and robots in media, and the relation between social media and individual trust. The book then presents case studies highlighting how media creates trust in the contexts of: brands and businesses, politics and non-governmental organizations, science and education. In closing, it discusses the road ahead, with a focus on users, writers, platforms and communication in general, and on media competency, skills and education in particular.

In the aftermath of the Global Financial Crisis, corporate collapses, accounting scandals and concerns around competition and auditor choice, the European Commission (EC) promoted the preparation of various reports on audit policy to support a harmonisation process of European auditing regulation. Consequently, the European Union Audit Regulation and Directive was implemented from 2016. This book provides a timely picture of the audit sector and how it responds to regulatory and technological challenges. It analyses the impact of EU reforms on audit practices by comparing the U.K. and Italy, which, representing two very different regulatory and cultural contexts, will offer insight into how the efforts at standardising audit regulation may lead to very different organisational firm responses within Europe. It addresses issues relating to public policy work and the concerns faced by the market for audit and assurance services, in promoting audit quality, better communication about the role of the auditor, capital market stability and confidence, and auditor independence. Moreover, it highlights what the future of auditing might look like in the EU particularly after the U.K. has left, and how meeting public expectations will continue to be a struggle for the accounting profession given the many problems ahead. The book encourages a deeper awareness of the challenges faced by those that monitor and certify the financial statements of the world's largest public companies and contributes to the general understanding of this controversial industry. It will serve as a useful guide to the recent EU audit reforms, not only for academics, and research students but also to regulators, policymakers, standard setters, industry professionals, and business executives worldwide.