CIOs spend more than $1.2 trillion on software and hardware each year. "Partnering with the CIO" looks at IT sales from the CIO's perspective, revealing what needs to be changed and expressing their fears, concerns, warnings, and advice. Based on in-depth interviews with CIOs at major international firms and organizations such as Citigroup, First Data Corp., Priceline.com, Pitney Bowes, PricewaterhouseCoopers, Time Inc., World Wildlife Fund, Accenture, and the CIO Executive Council, among many others, "Partnering with the CIO" is a practical and much-needed guide to the current state of IT sales and leadership.

From authors used to operating between the commercial, public and independent sectors of the mixed cultural economy, Understanding Creative Business bridges the gap between creative practice and mainstream business organisation, entrepreneurship and management. Using stories, case studies and exercises it discusses the positioning of creative practice within professional and business development, cultural policy-making and the wider cultural economy, and suggests what the broader field of business and management studies can learn from the informal structure and working practices of creative industries networks. Consideration is given to how ethical and moral value orientations animate creative practice and how they play into the wider debate about social responsibilities within business and public policy. The authors also explore the way creative business practices often coalesce around emergent and self-organized networks and how this signals alternative approaches to management, entrepreneurship, business organisation and collaboration. Above all else this book is about relationships; the practical examples expose the ways creative business can professionalise research, develop and sustain routes to growth through 'open' collaborative innovation and the lessons this holds for more general business innovation and policy engagements with the public domain. Written in accessible language, this book will be useful to researchers, students, educators and practitioners within the creative industries; to those working within cultural policy, arts and cultural management; and to all with an interest in management and leadership.

This book constitutes the refereed proceedings of the 7th European Lean Educator Conference ELEC 2021, hosted in Trondheim, Norway, in October 2021 and sponsored by IFIP WG 5.7. The conference was held virtually. The 42 full papers presented were carefully reviewed and selected from 82 submissions. They are organized in the following thematic sections: Learning Lean; Teaching Lean in the Digital Era; Lean and Digital; Lean 4.0; Lean Management; Lean Coaching and Mentoring; Skills and Knowledge Management; Productivity and Performance Improvement; New Perspectives of Lean.

This book explores the impact of design science and design thinking on tourism planning, gathering contributions from leading authorities in the field of tourism research and providing a comprehensive and interconnected panorama of cutting-edge results that influence the current and future design of tourist destinations. The book builds on recent findings in psychology, geography and urban and regional planning, as well as from economics, marketing and communications, and explores the opportunities arising from recent advances in the Internet and related technologies like memory, storage, RFID, GIS, mobile and social media in the context of collecting and analyzing traveler-related data. It presents a broad range of insights and cases on how modern design approaches can be used to develop new and better touristic experiences, and how they enable the tourism industry to track and communicate with visitors in a more meaningful way and more effectively manage visitor experiences.

In this book the author aims to describe the path from Information Technology to Information Management and Information Governance. This path allows organizations to identify IT Business Value and take advantage of it. The book synthesizes the main approaches that have emerged in recent years, compares these approaches along multiple variables, and finally proposes an advanced and new approach to Information Governance, based on the concept of Organizational Absorptive Capacity. Furthermore, the book presents a new approach to Information Management: the SIGMA (Strategic Information Governance Modelling and Assessment) approach. The new approach is centered on information as a key factor allowing integration between IT applications, organizational capabilities and business strategy. In particular, the Absorptive Capacity concept is presented and discussed: this concept represents the ability of an organization to maintain and absorb the potential of information and IT investments. After having presented and discussed the model, we also provide the reader with a brief presentation of how the SIGMA approach should be applied in companies. The book adopts a scientific approach to ensure methodological rigour; however, it is also concrete and describes problems from the viewpoints of managers, adopting a clear and easy-to-understand language in order to capture the interest of top managers and graduate students.

This book describes in detail sampling techniques that can be used for unsupervised and supervised cases, with a focus on sampling techniques for machine learning algorithms. It covers theory and models of sampling methods for managing scalability and the "curse of dimensionality", their implementations, evaluations, and applications. A large part of the book is dedicated to database comprising standard feature vectors, and a special section is reserved to the handling of more complex objects and dynamic scenarios. The book is ideal for anyone teaching or learning pattern recognition and interesting teaching or learning pattern recognition and is interested in the big data challenge. It provides an accessible introduction to the field and discusses the state of the art concerning sampling techniques for supervised and unsupervised task. Provides a comprehensive description of sampling techniques for unsupervised and supervised tasks; Describe implementation and evaluation of algorithms that simultaneously manage scalable problems and curse of dimensionality; Addresses the role of sampling in dynamic scenarios, sampling when dealing with complex objects, and new challenges arising from big data. "This book represents a timely collection of state-of-the art research of sampling techniques, suitable for anyone who wants to become more familiar with these helpful techniques for tackling the big data challenge." M. Emre Celebi, Ph.D., Professor and Chair, Department of Computer Science, University of Central Arkansas "In science the difficulty is not to have ideas, but it is to make them work" From Carlo Rovelli

Provides the reader with a real-life holistic view of what is actually required to make it happen and deliver successful business growth. Other books on innovation are written by academics and consultants, people who sit on the side lines and observe. This book is unique in that it is written from the perspective of two professionals who have led, founded and grown multiple businesses over the last 30 years, and so know the practical reality of what works and what doesn't. Includes case studies of leading organizations, such as: As the book contains contributions from senior leaders in Google, BCG, Google, Hexcel, Johnson Matthey, Kennametal, Naluri, IE University, Amcor, Quaker Houghton, Novartis, CeramTec, Alvarez & Marsal.

This book investigates the relationship between the firm and the territory, emphasizing the micro-organizational dimension and the interactions between actors at territorial levels. First, the book examines the particular features of the firm considering three key factors - structural design, power configuration and organizational culture - and the characteristics of the surrounding territory as a specific spatial ecosystem with its own institutions, agents, history and objectives. Second, it analyses organizational tenets at the micro- and meso levels with a view to explaining various relational models and their implications at the level of the firm and the territory. Although previous studies have focused on the territory as a geographical space in which firms procure resources and promote development, this book presents an innovative approach and makes a key contribution to the literature by dealing with the firm and the territory from an organizational perspective. The relationship is analysed as bidirectional: a key question concerns how the territory can impact the organizational dimension of the firm, and how the firm can characterize the territory. This will be considered in connection with various effects. The positive effects of the relationship with the territory are investigated in terms of territorial identity, territorial resilience and territorial sustainability. The negative effects include the role of criminal networks rooted in the territory, with firms acting as key agents.

The book addresses the prevalent digital transformation and focuses on its significant disruption in healthcare. In light of the distinctive characteristics and evolution of the Chinese healthcare industry, private multi-sided platform (MSP) companies emerge to offer novel values and explore the industry value chain. Drawing on the management and economics literature of MSPs, this book examines the selected Chinese MSPs and compares them with the counterpart MSPs in the U.S. This analysis highlights how the unfolding healthcare disruption is valuable for both scholars and practitioners to understand the trends and to take effective actions. "Disruptive Innovation through Digital Transformation: Multi-Sided Platforms of E-Health in China" provides readers in the developing and developed countries with insights on how to approach the current multi-sided platform and to resolve the current problems to better serve customers and patients in the healthcare market.

Corporate governance is not just about models of best practice organisation or prescriptions following laws or social conventions. Corporate governance is also about persons of power seeking performance, and they do so in ways that transcend structures and pre-conceived notions of the structural set-up of the business. This book emphasises the decision-making dimensions of corporate governance, placing it right in the messy middle of the ever-changing world of capitalism, focussing on the interplay between professional managers and shareholders. This book aims to bring together several fresh perspectives on the development of capitalism seen through the lens of corporate governance. It illustrates the role of intentionality and persons, both as a method with which to understand processes of change, but also as a principle with which to seek a deeper understanding of the corporate governance choices made. It will be of interest to researchers, academics and students in the fields of corporate governance and entrepreneurship, as well as practitioners and other audience interested in the evolution of capitalism and corporate culture.

Digital entrepreneurship refers to business activities in the digital media and information and information and communication technologies. It encompasses entrepreneurial pursuits in areas such as artificial intelligence, blockchain, internet of things, and augmented reality among many more. The digital economy is expected to bring about $60 Trillion in revenue by 2025. With the rise and proliferation of emerging technologies globally, entrepreneurs have pursued opportunities to leverage skills, abilities, and resources to find innovative revenue streams. Companies such as Facebook, Uber, and Twitter are examples of highly successful digital firms that have become giants in the industry. Entrepreneurs and executives from all over the world are looking to follow in their footsteps. The book will outline and discuss ideas and approaches for companies of all sizes to benefit from the digital economy. This edited book brings together chapter contributions from leading practice experts and academics from all over the world. It advances contemporary thinking on digital entrepreneurship and aims to become the ultimate reference guide on the subject, making it especially valuable to researchers, academics, students, and professionals in the fields of entrepreneurship, international business, and the management of technology and innovation.

This book analyses the historical context and progression of "significant innovations" beginning with the industrial revolution, starting around 1750 to the present. It explores the interrelationship, causes, and evolutionary process of contemporary "disruptive" inventions and the role played by global finance and international commerce to support these. First, the authors examine the environment and circumstances surrounding the inventors and explore their backgrounds to determine, why at a specific time, they identified a need that became the seed for invention and, what was their method of successfully commercializing their innovation. Secondly, they focus on the financing of the inventor, the innovation, and the commercialization of the invention(s). They analyze the changes in finance during the shift from a labor-based production process to a more capital-intensive production process, and what new financial products or financial markets were created to facilitate this transition. Third, they explore the impact of global commerce on the inventor country's innovation environment and international competition impacting the innovation's production, distribution, and sales, as well as, investigating any financial impact from the demand side and whether that impact was domestic or global in character. Furthermore, they consider if and how global finance and international commerce including the migration of people, together play a role in helping the disruptive invention satisfy a need in society, whether from a production or consumption perspective. Finally, they search for common elements that repeatedly inspired inventors and their disruptive innovations over time. This book will appeal to global government officials, business leadership, early career professionals, and students across a number of disciplines including finance, economics, business, engineering, and technology.

*Addresses a shift in thinking about entrepreneurial education, away from business and toward school education internationally. *Supports learning about and through entrepreneurial thinking within the context of school teaching. *Encourages teachers to develop their own entrepreneurial thinking skills.

*Addresses a shift in thinking about entrepreneurial education, away from business and toward school education internationally. *Supports learning about and through entrepreneurial thinking within the context of school teaching. *Encourages teachers to develop their own entrepreneurial thinking skills.

This book discusses the unique nature and complexity of fog data analytics (FDA) and develops a comprehensive taxonomy abstracted into a process model. The exponential increase in sensors and smart gadgets (collectively referred as smart devices or Internet of things (IoT) devices) has generated significant amount of heterogeneous and multimodal data, known as big data. To deal with this big data, we require efficient and effective solutions, such as data mining, data analytics and reduction to be deployed at the edge of fog devices on a cloud. Current research and development efforts generally focus on big data analytics and overlook the difficulty of facilitating fog data analytics (FDA). This book presents a model that addresses various research challenges, such as accessibility, scalability, fog nodes communication, nodal collaboration, heterogeneity, reliability, and quality of service (QoS) requirements, and includes case studies demonstrating its implementation. Focusing on FDA in IoT and requirements related to Industry 4.0, it also covers all aspects required to manage the complexity of FDA for IoT applications and also develops a comprehensive taxonomy.

This book provides a review of advanced topics relating to the theory, research, analysis and implementation in the context of big data platforms and their applications, with a focus on methods, techniques, and performance evaluation. The explosive growth in the volume, speed, and variety of data being produced every day requires a continuous increase in the processing speeds of servers and of entire network infrastructures, as well as new resource management models. This poses significant challenges (and provides striking development opportunities) for data intensive and high-performance computing, i.e., how to efficiently turn extremely large datasets into valuable information and meaningful knowledge. The task of context data management is further complicated by the variety of sources such data derives from, resulting in different data formats, with varying storage, transformation, delivery, and archiving requirements. At the same time rapid responses are needed for real-time applications. With the emergence of cloud infrastructures, achieving highly scalable data management in such contexts is a critical problem, as the overall application performance is highly dependent on the properties of the data management service.

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

This book provides a theoretical and application-oriented analysis of deterministic scheduling problems in advanced planning and computer systems. The text examines scheduling problems across a range of parameters: job priority, release times, due dates, processing times, precedence constraints, resource usage and more, focusing on such topics as computer systems and supply chain management. Discussion includes single and parallel processors, flexible shops and manufacturing systems, and resource-constrained project scheduling. Many applications from industry and service operations management and case studies are described. The handbook will be useful to a broad audience, from researchers to practitioners, graduate and advanced undergraduate students.

Social Entrepreneurship: A Practical Introduction equips aspiring entrepreneurs with the tools needed to design and launch businesses to create positive social change in their communities. This accessible textbook aims to educate and motivate people interested in social entrepreneurship, showing that such businesses are a valuable part of the community development toolbox. Each chapter focuses on a key aspect of social entrepreneurship, from value creation and business planning to impact measurement and scaling up. Different social business models are presented, with analysis of their strengths and weaknesses. Cases and examples are included throughout the book and showcase real-life social enterprises in North America, South America, Europe, Australia, Africa, and the Caribbean. Discussion questions also support reflection and learning. A downloadable workbook offers support with checklists, social impact measurement, and other areas. An instructor manual containing test questions and experiential exercises is also available as a digital supplement for adopters. This book is ideal for introductory courses in social entrepreneurship and community development. It will also be valuable for those involved in social enterprises on the ground.

Social Entrepreneurship: A Practical Introduction equips aspiring entrepreneurs with the tools needed to design and launch businesses to create positive social change in their communities. This accessible textbook aims to educate and motivate people interested in social entrepreneurship, showing that such businesses are a valuable part of the community development toolbox. Each chapter focuses on a key aspect of social entrepreneurship, from value creation and business planning to impact measurement and scaling up. Different social business models are presented, with analysis of their strengths and weaknesses. Cases and examples are included throughout the book and showcase real-life social enterprises in North America, South America, Europe, Australia, Africa, and the Caribbean. Discussion questions also support reflection and learning. A downloadable workbook offers support with checklists, social impact measurement, and other areas. An instructor manual containing test questions and experiential exercises is also available as a digital supplement for adopters. This book is ideal for introductory courses in social entrepreneurship and community development. It will also be valuable for those involved in social enterprises on the ground.

This book intends to provide a reference manual to assist professionals and academics on further insights regarding: the impact of digital technologies in business, how to implement digital technologies, solutions for specific digital technologies barriers, and much more. Digital transformation marks a rethinking of how an organization uses technology, people, and processes in pursuit of new business models and new revenue streams, driven by changes in customer expectations around products and services. For many enterprises that build traditional goods, this means building digital products, such as a mobile applications or an ecommerce platform. To do so, they must use and integrate digital technologies. The pace of change is increasing. Organizations need to adapt or risk to disappear under innovators entrance in the market. With new digital technologies growing in an exponential rate in the last few decades, organizations are facing even more complex contexts. Managers are now pressed to take efficient decisions. The editors encourage the use of research methods such as Systematic Literature Review (SLR) or Multivocal Literature Review (MLR) (since many new technologies are usually evolved first by practitioners). However, other research methods can also be appreciated as case studies or experiments.

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

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