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.

In this volume recent advances in the use of modern quantitative models for the analysis of various problems related to the dynamics of social and economic systems are presented. The majority chapters describe tools and techniques of broadly perceived computational intelligence, notably fuzzy logic, evolutionary computation, neural networks and some non-standard probabilistic and statistical analyses. Due to the high complexity of the systems and problems considered, in many situations it is necessary to consider at the same time analytic, topological and statistical aspects and apply appropriate procedures and algorithms. This volume is a direct result of vivid discussions held during the Fifth International Workshop on Dynamics of Social and Economical Systems (DYSES) which was held at Benevento, Italy September 20-25, 2010, as well as a couple of post-workshop meetings and consultations.

Includes global case studies of organizations in the cultural sector to facilitate translation of theory into practice Author team combines academic and practitioner expertise Unique combination of fundraising and creative/cultural industries

Israeli national neoliberalism has promoted innovation policies leading to an ostensible paradox: At the center is a startup nation with a vibrant and successful high-tech entrepreneurial ecosystem, accumulating resources and enabling constant growth. At the geographical and social periphery, there has emerged a parallel society with often-marginalized groups not able to keep up. In one of the most unequal countries with a high rate of poverty, entrepreneurial heroes are celebrated at the center, promoting a myth that all could be self-made successes. At the periphery, entrepreneurs are struggling to survive, often pushed into precarious working and living conditions. Applying critical theory discourse, this book illustrates how neoliberalism and entrepreneurship are intertwined and how the startup nation has evolved in Israel. It explores how national neoliberal state policies have targeted technological innovation as a tool to obtain a competitive advantage in the international arena rather than aiming at increasing economic achievements and well-being for all. It will demonstrate that the Israeli entrepreneurship scene exemplifies the existence of parallel entrepreneurial societal spaces, analyze the positionality of entrepreneurs belonging to a variety of groups that characterize Israeli society, and uncover structural disadvantages and related levels of precarity as well as existing links between entrepreneurial advantages and disadvantages, mobility and varying degrees of social marginality. Dark Sides of the Startup Nation sheds light onto the problematic and sometimes contradictory myth that entrepreneurship is meritocratic and that neoliberal capitalism provides everyone with equal opportunities to succeed. The book will be of interest to researchers, academics, policy makers and students in the fields of entrepreneurship and small business management, responsibility and business ethics, and technology and innovation.

Includes global case studies of organizations in the cultural sector to facilitate translation of theory into practice Author team combines academic and practitioner expertise Unique combination of fundraising and creative/cultural industries

The only up-to-date introductory textbook on sport entrepreneurship and innovation. Entrepreneurial skills are essential for anybody working in sport management, particularly in the face of COVID-related challenges. Introduces key theory and focuses on best practice, based on real world scenarios. Includes practitioner voices throughout.

This book is designed to help MIS and information center managers and their staffs to efficiently and cost effectively meet the needs of end-users in their organizations. Focusing on managerial aspects of information centers, Robert J. Thierauf explores the ways in which new information technology--spreadsheets, query languages, report writers, word processing, etc.--can be placed in the hands of end-users without the interdepartmental conflict and loss of systems control often associated with such transitions.

This book examines returns on experience and managerial practices to generate deeper collaboration, intensify co-creation, support start-ups and established companies to explore, develop, and accelerate their projects thanks to open labs (living labs, fab labs, coworking spaces, "third spaces", etc.). Open labs are the beatbox to create a rhythm in ecosystems and make all stakeholders move forward, faster, together. This book proposes a framework to understand how open labs, innovation hubs, and collaborative spaces contribute to ecosystems. The book looks beyond the short-term effects of open labs and identifies four main dimensions: communities, physical spaces, events, and portfolios of services offered to private businesses, entrepreneurs, and start-ups, established companies, or public institutions. Drawing on extensive field research lasting over five years, with more than 40 cases and more than 200 interviews plus direct observation within different environments, this edited book investigates how managers run these labs, and how "users" or "clients" evolve when benefitting from their services. All chapters analyse how an actual management impacts the dynamics of communities, how it shapes the co-evolution between open labs and their ecosystems, and how the management of the physical space impacts the mission of the lab and its role in the ecosystem. Open Labs and Innovation Research is written for scholars and researchers in the fields of innovation studies and management science. This book can also inform teaching, public policymaking, and professional practice.

This book focusses on various options of taking up ventures for starting entrepreneurship in small/large scale in the field of renewable energy technologies. The book covers the fundamentals of entrepreneurship, renewable energy resources, their technologies involved and applications along with financial evaluations. The book will cater to the needs of students, researchers, various stakeholders, entrepreneurs etc. by providing valuable information on renewable energy technologies and their applications in developing entrepreneurship and establishing enterprise at individual level, specifically focusing on low carbon technology for sustenance of environment which is becoming increasingly important.

The International Conference on Informatics and Management Science (IMS) 2012 will be held on November 16-19, 2012, in Chongqing, China, which is organized by Chongqing Normal University, Chongqing University, Shanghai Jiao Tong University, Nanyang Technological University, University of Michigan, Chongqing University of Arts and Sciences, and sponsored by National Natural Science Foundation of China (NSFC). The objective of IMS 2012 is to facilitate an exchange of information on best practices for the latest research advances in a range of areas. Informatics and Management Science contains over 600 contributions to suggest and inspire solutions and methods drawing from multiple disciplines including: Computer Science Communications and Electrical Engineering Management Science Service Science Business Intelligence

* International approach, with examples and cases from the US, Europe and Africa * Each chapter contains objectives, case studies, discussion questions and further reading suggestions. * PPT slides and data sets available as digital supplements

* International approach, with examples and cases from the US, Europe and Africa * Each chapter contains objectives, case studies, discussion questions and further reading suggestions. * PPT slides and data sets available as digital supplements

1) What to do when you get hacked 2) A guide to incident response 3) Incident response and cybersecurity for small businesses

1) What to do when you get hacked 2) A guide to incident response 3) Incident response and cybersecurity for small businesses

Systemic Entrepreneurship focuses on creating an awareness of systemic entrepreneurship and illustrates the fact that one needs to approach entrepreneurial support activities from many different angles.

Over the last few years, we have witnessed an upsurge of enthusiasm about cryptocurrencies and, more generally, the so-called blockchain technology. In this new and updated edition, the authors explore what exactly these new technologies entail and promise. They argue that to understand the potential challenges and further developments in the market, one needs to develop an understanding of what needs these innovations fulfill and what business models are consistent with their use. For that, we need to sufficiently understand both the technology and how it affects the economic forces at play. This book goes beyond the headlines that say "blockchain will decentralize everything" and provides in-depth, rigorous analysis of what can be effectively decentralized and how this decentralization will work. The book draws not only on the general knowledge of digital currencies and blockchain technologies, but also on recent academic research on the topic. Featuring a fully updated chapter on cryptocurrencies and new chapters on smart contracts and enterprise blockchains, this book is critical reading for those interested in how technology developments impact business and society.

1) This is a comprehensive book on creative industries in India. 2) The book contains essays with recent data and multiple crucial case studies from across India. 3) This book will be of interest to departments of development studies, South Asian studies and cultural studies across UK.

1) This is a comprehensive book on creative industries in India. 2) The book contains essays with recent data and multiple crucial case studies from across India. 3) This book will be of interest to departments of development studies, South Asian studies and cultural studies across UK.

This book introduces, explains, and illustrates the theories, concepts, and methods needed for sound enterprise engineering. These are based on foundational insights, specifically those concerning the employee-centric theory of organization, which are put into practice by coherently and consistently applying them to enterprise design and change. The book consists of five main chapters, the first of which emphasizes the importance of linking foundational insights with the enterprise engineering design science for practicing them in enterprise design within the scope of enterprise governance concerned with enterprise change. Chapter 2 summarizes the necessary philosophical, ontological and ideological foundations of enterprise design and change. Subsequently, chapter 3 outlines essential aspects of enterprise change and describes the relation between enterprise governance and the process of enterprise design, while chapter 4 details the enterprise engineering design science and the actual enterprise design process, its various perspectives and both its intermediate and final results. Lastly, chapter 5 illustrates in detail the application of all the process steps in a single, extensive example. In this way, the book shows how all the cornerstones of enterprise design and change, as well as the employee-centric theory of organization can be applied. The book is mainly intended for students in areas such as business administration, management and organization science, governance, and enterprise and information systems design. However, professionals working in these areas will also benefit from the book, as it provides them with all the elements needed for engineering enterprise design, and details their application.

This book integrates the concepts of big data analytics into mental health practice and research. Mental disorders represent a public health challenge of staggering proportions. According to the most recent Global Burden of Disease study, psychiatric disorders constitute the leading cause of years lost to disability. The high morbidity and mortality related to these conditions are proportional to the potential for overall health gains if mental disorders can be more effectively diagnosed and treated. In order to fill these gaps, analysis in science, industry, and government seeks to use big data for a variety of problems, including clinical outcomes and diagnosis in psychiatry. Multiple mental healthcare providers and research laboratories are increasingly using large data sets to fulfill their mission. Briefly, big data is characterized by high volume, high velocity, variety and veracity of information, and to be useful it must be analyzed, interpreted, and acted upon. As such, focus has to shift to new analytical tools from the field of machine learning that will be critical for anyone practicing medicine, psychiatry and behavioral sciences in the 21st century. Big data analytics is gaining traction in psychiatric research, being used to provide predictive models for both clinical practice and public health systems. As compared with traditional statistical methods that provide primarily average group-level results, big data analytics allows predictions and stratification of clinical outcomes at an individual subject level. Personalized Psychiatry - Big Data Analytics in Mental Health provides a unique opportunity to showcase innovative solutions tackling complex problems in mental health using big data and machine learning. It represents an interesting platform to work with key opinion leaders to document current achievements, introduce new concepts as well as project the future role of big data and machine learning in mental health.

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

This book presents articles from the International Conference on Blockchain Technology (IC-BCT) 2019, held in Mumbai, India, and highlights recent advances in the field. It brings together researchers and industry practitioners to show case their ideas linked to business case studies, and provides an opportunity for engineers, researchers, startups and professionals in the field of Blockchain technology to further collaboration.

This is an academic book that explains in reahty, examines theoretically, and analyzes statistically information system investment in the banking industry with regard to the process of the information technology revolution. This kind of comprehensive research on the banking industry is the first in the world. It could be seen as an application study for Japanese financial deregulation after 1997. However, our project, the Workshop of Information System Investment, is a theoretical research venture, consisting originally, when it began in 1994, of economists and computer scientists. It aimed to measure the effect of com puter hardware and software on the modern economy, based on the microdata of each firm, and to extend the frontiers of economic science. It was, coin- dentally, the time when this project began full-scale operation, in July 1997, that the voluntary closure of Yamaichi Securities was decided. The failure of the Hokkaido Takushoku Bank was disclosed in November of the same year, and the breakdown, temporary nationalization, buying out, and mergers of several banks succeeded one another. Our research therefore suddenly got into the social spotlight on the application stage. Part I is the first history and strategic guidelines of information systems in the banking industry. Part II summarizes the economic analyses of informa tion system investment in the United States, Europe, and Japan. These parts are foundations for the statistical analyses in Part III."

Trust and Digital Business: Theory and Practice brings together the theory and practice of trust and digital business. The book offers a look at the current state, including a comprehensive overview of both research and practical applications of trust in business. Readers will gain from this book in the following areas: knowledge across disciplines on trust in business, theoretical underpinnings of trust and how it sustains itself through digital dissemination, and empirically validated practice regarding trust and its related concepts. The international team of authors from seven countries (Finland, Germany, Italy, Malaysia, Poland, Turkey, and the U.S.) ensures the diversity and quality of the content. The intended audiences of this book are professionals, scholars, and students.

This book presents a range of qualitative and quantitative analyses in areas such as cybersecurity, sustainability, multivariate analysis, customer satisfaction, parametric programming, software reliability growth modeling, and blockchain technology, to name but a few. It also highlights integrated methods and practices in the areas of machine learning and genetic algorithms. After discussing applications in supply chains and logistics, cloud computing, six sigma, production management, big data analysis, satellite imaging, game theory, biometric systems, quality, and system performance, the book examines the latest developments and breakthroughs in the field of science and technology, and provides novel problem-solving methods. The themes discussed in the book link contributions by researchers and practitioners from different branches of engineering and management, and hailing from around the globe. These contributions provide scholars with a platform to derive maximum utility in the area of analytics by subscribing to the idea of managing business through system sciences, operations, and management. Managers and decision-makers can learn a great deal from the respective chapters, which will help them devise their own business strategies and find real-world solutions to complex industrial problems.