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

This edited book provides a platform to bring together researchers, academia and industry collaborators to exchange their knowledge and work to develop better understanding about the scope of blockchain technology in business management applications of different sectors such as retail sector, supply chain and logistics, healthcare sector, manufacturing sector, judiciary, finance and government sector in terms of data quality and timeliness. The book presents original unpublished research papers on blockchain technology and business management on novel architectures, prototypes and case studies.

The information systems (IS) field represents a multidisciplinary area that links the rapidly changing technology of information (or communications and information technology, ICT) to the business and social environment. Despite the potential that the IS field has to develop its own native theories to address current issues involving ICT it has consistently borrowed theories from its "reference disciplines," often uncritically, to legitimize its research. This volume is the first of a series intended to advance IS research beyond this form of borrowed legitimization and derivative research towards fresh and original research that naturally comes from its own theories. It is inconceivable for a field so relevant to the era of the hyper-connected society, disruptive technologies, big data, social media, "fake news" and the weaponization of information to not be brimming with its own theories. The first step in reaching the goal of developing native IS theories is to reach an agreement on the need for theory (its rationale) and its role as the most distinctive product of human intellectual activity. This volume addresses what theories are, why bother with theories and the process of theorizing itself because the process of developing theories cannot be divorced from the product of that process. It will lay out a research agenda for decades to come and will be invaluable reading for any academic in the IS field and related disciplines concerned with information, systems, technology and their management.

Exploring Information Systems Research Approaches is intended for supervisors and research students in the information systems and related fields. This collection of thought-provoking articles, arranged in sections that reflect the broadening nature of the field, provides examples of a range of research approaches. This book focuses on different research approaches - their strengths, limitations, and the conclusions which can be drawn from them - and explores the impact of information and communication technologies on groups, on organizations, between organizations, on markets, and on society worldwide. The articles selected have been chosen to represent an approach to research, or an alternative design within an approach (e.g., single case versus multiple cases; survey within industry versus survey across industries). Each section is preceded by an editorial introduction that places the chosen articles in context of other, similar research, and provides a summary of the articles in terms of the: research method employed focus and perspective of the research technology being employed findings and overall contribution of the work. Each introduction also highlights various issues and factors that the reader should consider when studying each of the articles in the section and includes ideas for further reading and discussion questions suitable for doctoral research seminars.

Exploring Information Systems Research Approaches is intended for supervisors and research students in the information systems and related fields. This collection of thought-provoking articles, arranged in sections that reflect the broadening nature of the field, provides examples of a range of research approaches. This book focuses on different research approaches - their strengths, limitations, and the conclusions which can be drawn from them - and explores the impact of information and communication technologies on groups, on organizations, between organizations, on markets, and on society worldwide. The articles selected have been chosen to represent an approach to research, or an alternative design within an approach (e.g., single case versus multiple cases; survey within industry versus survey across industries). Each section is preceded by an editorial introduction that places the chosen articles in context of other, similar research, and provides a summary of the articles in terms of the: research method employed focus and perspective of the research technology being employed findings and overall contribution of the work. Each introduction also highlights various issues and factors that the reader should consider when studying each of the articles in the section and includes ideas for further reading and discussion questions suitable for doctoral research seminars.

This book focuses on data and how modern business firms use social data, specifically Online Social Networks (OSNs) incorporated as part of the infrastructure for a number of emerging applications such as personalized recommendation systems, opinion analysis, expertise retrieval, and computational advertising. This book identifies how in such applications, social data offers a plethora of benefits to enhance the decision making process. This book highlights that business intelligence applications are more focused on structured data; however, in order to understand and analyse the social big data, there is a need to aggregate data from various sources and to present it in a plausible format. Big Social Data (BSD) exhibit all the typical properties of big data: wide physical distribution, diversity of formats, non-standard data models, independently-managed and heterogeneous semantics but even further valuable with marketing opportunities. The book provides a review of the current state-of-the-art approaches for big social data analytics as well as to present dissimilar methods to infer value from social data. The book further examines several areas of research that benefits from the propagation of the social data. In particular, the book presents various technical approaches that produce data analytics capable of handling big data features and effective in filtering out unsolicited data and inferring a value. These approaches comprise advanced technical solutions able to capture huge amounts of generated data, scrutinise the collected data to eliminate unwanted data, measure the quality of the inferred data, and transform the amended data for further data analysis. Furthermore, the book presents solutions to derive knowledge and sentiments from BSD and to provide social data classification and prediction. The approaches in this book also incorporate several technologies such as semantic discovery, sentiment analysis, affective computing and machine learning. This book has additional special feature enriched with numerous illustrations such as tables, graphs and charts incorporating advanced visualisation tools in accessible an attractive display.

This book explores recent advances in the Internet of things (IoT) via advanced technologies and provides an overview of most aspects which are relevant for advance secure, distributed, decentralized blockchain technology in the Internet of things, their applications, and industry IoT. The book provides an in-depth analysis of the step-by-step evolution of IoT to create a change by enhancing the productivity of industries. It introduces how connected things, data, and their communication (data sharing) environment build a transparent, reliable, secure environment for people, processes, systems, and services with the help of blockchain technology.

This book presents cutting-edge research and thinking on agile information systems. The concept of agile information systems has gained strength over the last 3 years, coming into the MIS world from manufacturing, where agile manufacturing systems has been an important concept for several years now. The idea of agility is powerful: with competition so fierce today and the speed of business so fast, a company's ability to move with their customers and support constant changing business needs is more important than ever. Agile information systems:
-have the ability to add, remove, modify, or extend functionalities with minimal penalties in terms of time, cost, and effort
-have the ability to process information in a flexible manner
-have the ability to accommodate and adjust to the changing needs of the end-users.
This is the first book to bring together academic experts, researchers, and practitioners to discuss how companies can create and deploy agile information systems. Contributors are well-regarded academics known to be on the cutting-edge of their fields.
The Editor, Kevin Desouza, has organized the chapters under three categories:
-discussion of the concept of agile information systems (i.e. defining agile information management, its attributes, antecedents, consequences, etc.)
-discussion of information systems within the context of agility (i.e., descriptions of agile information systems and their attributes, how to build agile information systems, etc.)
-discussion of organizational management issues in the context of agile information systems (i.e., how to prepare the organization for agile information systems, management of agile informationsystems for improved organizational performance, etc.)
*First book to address the hot topic of agile information systems
*Contributions break new ground and provide concrete applications for practice
*Contributors include highly respected academics from around the world

This book examines the managerial dimensions of business intelligence (BI) systems. It develops a set of guidelines for value creation by implementing business intelligence systems and technologies. In particular the book looks at BI as a process - driven by a mix of human and technological capabilities - to serve complex information needs in building insights and providing aid in decision making. After an introduction to the key concepts of BI and neighboring areas of information processing, the book looks at the complexity and multidimensionality of BI. It tackles both data integration and information integration issues. Bodies of knowledge and other widely accepted collections of experience are presented and turned into lessons learned. Following a straightforward introduction to the processes and technologies of BI the book embarks on BI maturity and agility, the components, drivers and inhibitors of BI culture and soft BI factors like attention, sense and trust. Eventually the book attempts to provide a holistic view on business intelligence, possible structures and tradeoffs and embarks to provide an outlook on possible developments in BI and analytics.

"Human-Computer Interaction and Management Information Systems: Applications" offers state-of-the-art research by a distinguished set of authors who span the MIS and HCI fields. The original chapters provide authoritative commentaries and in-depth descriptions of research programs that will guide 21st century scholars, graduate students, and industry professionals. Human-Computer Interaction (or Human Factors) in MIS is concerned with the ways humans interact with information, technologies, and tasks, especially in business, managerial, organizational, and cultural contexts. It is distinctive in many ways when compared with HCI studies in other disciplines. The MIS perspective affords special importance to managerial and organizational contexts by focusing on analysis of tasks and outcomes at a level that considers organizational effectiveness. With the recent advancement of technologies and development of many sophisticated applications, human-centeredness in MIS has become more critical than ever before. This work focuses on applications and evaluations including special case studies, specific contexts or tasks, HCI methodological concerns, and the use and adoption process.

"Human-Computer Interaction and Management Information Systems: Foundations" offers state-of-the-art research by a distinguished set of authors who span the MIS and HCI fields. The original chapters provide authoritative commentaries and in-depth descriptions of research programs that will guide 21st century scholars, graduate students, and industry professionals. Human-Computer Interaction (or Human Factors) in MIS is concerned with the ways humans interact with information, technologies, and tasks, especially in business, managerial, organizational, and cultural contexts. It is distinctive in many ways when compared with HCI studies in other disciplines. The MIS perspective affords special importance to managerial and organizational contexts by focusing on analysis of tasks and outcomes at a level that considers organizational effectiveness. With the recent advancement of technologies and development of many sophisticated applications, human-centeredness in MIS has become more critical than ever before. This book focuses on the basics of HCI, with emphasis on concepts, issues, theories, and models that are related to understanding human tasks, and the interactions among humans, tasks, information, and technologies in organizational contexts in general.

As a discipline, Informatics has over the years developed from a narrow focus on data processing and software development, towards an emphasis on people's use of technology and its impact on their working lives. The topic of human/computer interaction and the relationship between ICT and the social and psychological environment is attracting increasing interest. It is also increasingly part of the curriculum for both computing students and MIS under the umbrella of social informatics.
This book has been edited by an internationally recognized expert in this field who has been researching in this area for many years. Bradley provides a holistic analysis of the relationship between people, ICT, society and the environment. She examines the impact on organizations and individuals, both in the workplace and in the home, and explores issues including stress, power, and competence. Taking a firmly humanistic view she also looks to the future as ICT increasingly informs and impacts on our lives.
The book provides a uniquely research-based and cross-disciplinary resource which will be of interest to students and academics studying social informatics, computing and MIS as well as OB, sociology, psychology and communications.

The rate of failure of IT projects has remained little changed in survey after survey over the past 15-20 years-over 40-50%. This has happened in spite of new technology, innovative methods and tools, and different management methods. Why does this happen? Why can't the situation be better? One reason is that many think of each IT effort as unique. In reality many IT projects are very similar at a high, strategic level. Where they differ is in the people and exact events-the detail. If you read the literature or have been in information systems or IT for some time, you have seen the same reasons for failure and the same problems and issues recur again and again.
In this book IT Management experts Ben Lientz and Lee Larssen show you how to identify and track the recurring issues leading to failure in IT projects and provide a proven, modern method for addressing them. By following the recommendations in this books readers can significantly reduce the risk of IT failures and increase the rate of success. Benefits of using this approach:
-Issues are identified earlier-giving more time for solution and action.
-Issues are resolved more consistently since the approach tracks on their repetition.
-You get an early warning of problems in IT work-before the budget or schedule fall apart.
-Management tends to have more realistic expectations with an awareness of issues.
-Users and managers have greater confidence in IT due to the improved handling of issues.
-Since the number of issues tends to stabilize in an organization, the IT organization and management get better at detecting, preventing, and dealing with issues over time-cumulative improvement.
-Giving attentionto issues make users more realistic in their requests and acts to deter requirement changes and scope creep.
* Full of checklists and methods that can be used in day to day Project Management work in real companies
* Easy to read style and book organization allows the reader to jump into the book right at the point they need
* Shows how to set up an issues database for better identification and tracking of issues, providing an Early Warning System to help move the project to success

This seminal work presents an effective design for processing information through five stages from data to actionable knowledge in order to influence behavior within organizations. The authors incorporate such concepts as evolution; semiotics; entropy; complexity; emergence; crisis; and chaos theory in an intriguing alternative to crisis management that can be applied to any organization. Their model shows how to evaluate and share information to enable the organization to avoid disaster rather than simply respond to it. Additionally, the text presents the first attempt at a multi-disciplinary view of information processing in organizations by tying associated disciplines to their respective impacts on the information process. Illustrations used in the text include an overlay that demonstrates how the non-use of information between agencies contributed to the 9/11 disaster, and an appendix addresses Organizing for Cyberterrorism.

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.

This book provides conceptual understanding of machine learning algorithms though supervised, unsupervised, and advanced learning techniques. The book consists of four parts: foundation, supervised learning, unsupervised learning, and advanced learning. The first part provides the fundamental materials, background, and simple machine learning algorithms, as the preparation for studying machine learning algorithms. The second and the third parts provide understanding of the supervised learning algorithms and the unsupervised learning algorithms as the core parts. The last part provides advanced machine learning algorithms: ensemble learning, semi-supervised learning, temporal learning, and reinforced learning. Provides comprehensive coverage of both learning algorithms: supervised and unsupervised learning; Outlines the computation paradigm for solving classification, regression, and clustering; Features essential techniques for building the a new generation of machine learning.

This book takes an in-depth look at the economics of digital transformation. Presenting a variety of perspectives from experts, it deals with the socioeconomic changes associated with the digital transformation of production systems. The chapters also address the impacts of digital transformation on the sustainable functioning of socioeconomic and environmental systems. Select chapters also investigate the consequences of adopting intelligent learning systems, both in terms of replacing the human labor force. and their effects on the smart digital management and security of cities, places, and people. Lastly, chapters discuss important questions regarding innovations leading to sustainable change.

This book projects a futuristic scenario that is more existent than they have been at any time earlier. To be conscious of the bursting prospective of IoT, it has to be amalgamated with AI technologies. Predictive and advanced analysis can be made based on the data collected, discovered and analyzed. To achieve all these compatibility, complexity, legal and ethical issues arise due to automation of connected components and gadgets of widespread companies across the globe. While these are a few examples of issues, the authors' intention in editing this book is to offer concepts of integrating AI with IoT in a precise and clear manner to the research community. In editing this book, the authors' attempt is to provide novel advances and applications to address the challenge of continually discovering patterns for IoT by covering various aspects of implementing AI techniques to make IoT solutions smarter. The only way to remain pace with this data generated by the IoT and acquire the concealed acquaintance it encloses is to employ AI as the eventual catalyst for IoT. IoT together with AI is more than an inclination or existence; it will develop into a paradigm. It helps those researchers who have an interest in this field to keep insight into different concepts and their importance for applications in real life. This has been done to make the edited book more flexible and to stimulate further interest in topics. All these motivated the authors toward integrating AI in achieving smarter IoT. The authors believe that their effort can make this collection interesting and highly attract the student pursuing pre-research, research and even master in multidisciplinary domain.

The actionable guide for driving organizational innovation through better IT strategy With rare insight, expert technology strategist Peter High emphasizes the acute need for IT strategy to be developed not in a vacuum, but in concert with the broader organizational strategy. This approach focuses the development of technology tools and strategies in a way that is comprehensive in nature and designed with the concept of value in mind. The role of CIO is no longer "just" to manage IT strategy instead, the successful executive will be firmly in tune with corporate strategy and a driver of a technology strategy that is woven into overall business objectives at the enterprise and business unit levels. High makes use of case examples from leading companies to illustrate the various ways that IT infrastructure strategy can be developed, not just to fall in line with business strategy, but to actually drive that strategy in a meaningful way. His ideas are designed to provide real, actionable steps for CIOs that both increase the executive's value to the organization and unite business and IT in a manner that produces highly-successful outcomes. * Formulate clearer and better IT strategic plans * Weave IT strategy into business strategy at the corporate and business unit levels * Craft an infrastructure that aligns with C-suite strategy * Close the gap that exists between IT leaders and business leaders While function, innovation, and design remain key elements to the development and management of IT infrastructure and operations, CIOs must now think beyond their primary purview and recognize the value their strategies and initiatives will create for the organization. With Implementing World Class IT Strategy, the roadmap to strategic IT excellence awaits.

Program debugging has always been a difficult and time-consuming task in the context of software development, where spectrum-based fault localization (SBFL) is one of the most widely studied families of techniques. While it's not particularly difficult to learn about the process and empirical performance of a particular SBFL technique from the available literature, researchers and practitioners aren't always familiar with the underlying theories. This book provides the first comprehensive guide to fundamental theories in SBFL, while also addressing some emerging challenges in this area. The theoretical framework introduced here reveals the intrinsic relations between various risk evaluation formulas, making it possible to construct a formula performance hierarchy. Further extensions of the framework provide a sufficient and necessary condition for a general maximal formula, as well as performance comparisons for hybrid SBFL methods. With regard to emerging challenges in SBFL, the book mainly covers the frequently encountered oracle problem in SBFL and introduces a metamorphic slice-based solution. In addition, it discusses the challenge of multiple-fault localization and presents cutting-edge approaches to overcoming it. SBFL is a widely studied research area with a massive amount of publications. Thus, it is essential that the software engineering community, especially those involved in program debugging, software maintenance and software quality assurance (including both newcomers and researchers who want to gain deeper insights) understand the most fundamental theories - which could also be very helpful to ensuring the healthy development of the field.

This book presents the characteristics and benefits industrial organizations can reap from the Industrial Internet of Things (IIoT). These characteristics and benefits include enhanced competitiveness, increased proactive decision-making, improved creativity and innovation, augmented job creation, heightened agility to respond to continuously changing challenges, and intensified data-driven decision making. In a straightforward fashion, the book also helps readers understand complex concepts that are core to IIoT enterprises, such as Big Data, analytic architecture platforms, machine learning (ML) and data science algorithms, and the power of visualization to enrich the domains experts' decision making. The book also guides the reader on how to think about ways to define new business paradigms that the IIoT facilitates, as well how to increase the probability of success in managing analytic projects that are the core engine of decision-making in the IIoT enterprise. The book starts by defining an IIoT enterprise and the framework used to efficiently operate. A description of the concepts of industrial analytics, which is a major engine for decision making in the IIoT enterprise, is provided. It then discusses how data and machine learning (ML) play an important role in increasing the competitiveness of industrial enterprises that operate using the IIoT technology and business concepts. Real world examples of data driven IIoT enterprises and various business models are presented and a discussion on how the use of ML and data science help address complex decision-making problems and generate new job opportunities. The book presents in an easy-to-understand manner how ML algorithms work and operate on data generated in the IIoT enterprise. Useful for any industry professional interested in advanced industrial software applications, including business managers and professionals interested in how data analytics can help industries and to develop innovative business solutions, as well as data and computer scientists who wish to bridge the analytics and computer science fields with the industrial world, and project managers interested in managing advanced analytic projects.

This book highlights interdisciplinary insights, latest research results, and technological trends in Business Intelligence and Modelling in fields such as: Business Intelligence, Business Transformation, Knowledge Dissemination & Implementation, Modeling for Logistics, Business Informatics, Business Model Innovation, Simulation Modelling, E-Business, Enterprise & Conceptual Modelling, etc. The book is divided into eight sections, grouping emerging marketing technologies together in a close examination of practices, problems and trends. The chapters have been written by researchers and practitioners that demonstrate a special orientation in Strategic Marketing and Business Intelligence. This volume shares their recent contributions to the field and showcases their exchange of insights.

This book defines and develops the concept of data capital. Using an interdisciplinary perspective, this book focuses on the key features of the data economy, systematically presenting the economic aspects of data science. The book (1) introduces an alternative interpretation on economists' observation of which capital has changed radically since the twentieth century; (2) elaborates on the composition of data capital and it as a factor of production; (3) describes morphological changes in data capital that influence its accumulation and circulation; (4) explains the rise of data capital as an underappreciated cause of phenomena from data sovereign, economic inequality, to stagnating productivity; (5) discusses hopes and challenges for industrial circles, the government and academia when an intangible wealth brought by data (and information or knowledge as well); (6) proposes the development of criteria for measuring regulating data capital in the twenty-first century for regulatory purposes by looking at the prospects for data capital and possible impact on future society. Providing the first a thorough introduction to the theory of data as capital, this book will be useful for those studying economics, data science, and business, as well as those in the financial industry who own, control, or wish to work with data resources.

The rise of digital media and the public's demand for transparency has elevated the importance of communication for every business. To have a voice or seat at the table and maximize their full value, a strategic communicator must be able to speak the language and understand business goals, issues, and trends. The challenge is that many communicators don't hold an MBA and didn't study business in college. Business Essentials for Strategic Communicators provides communication professionals and students with the essential 'Business 101' knowledge they need to navigate the business world with the best of them. Readers will learn the essentials of financial statements and terminology, the stock market, public companies, and more--all with an eye on how this knowledge helps them do their jobs better as communication professionals.

Organizations today have access to vast stores of data that come in a wide variety of forms and may be stored in places ranging from file cabinets to databases, and from library shelves to the Internet. The enormous growth in the quantity of data, however, has brought with it growing problems with the quality of information, further complicated by the struggles many organizations are experiencing as they try to improve their systems for knowledge management and organizational memory. Failure to manage information properly, or inaccurate data, costs businesses billions of dollars each year. This volume presents cutting-edge research on information quality. Part I seeks to understand how data can be measured and evaluated for quality. Part II deals with the problem of ensuring quality while processing data into information a company can use. Part III presents case studies, while Part IV explores organizational issues related to information quality. Part V addresses issues in information quality education.