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

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.

* 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

The volume includes a collection of peer-reviewed contributions from among those presented at the main conference organized yearly by the Mexican Statistical Association (AME) and every two years by a Latin-American Confederation of Statistical Societies. For the 2018 edition, particular attention was placed on the analysis of highly complex or large data sets, which have come to be known as "big data". Statistical research in Latin America is prolific and research networks span within and outside the region. The goal of this volume is to provide access to selected works from Latin-American collaborators and their research networks to a wider audience. New methodological advances, motivated in part by the challenges of a data-driven world and the Latin American context, will be of interest to academics and practitioners around the world.

There has been growing interest on business models among academics and practitioners in recent years, as business model describes how an organization creates, distributes and captures value and, therefore, can be considered the DNA of the organization. Recently, factors related to digital transformation, the vital role of sustainability and social aspects, along with an increasing globalization, have pushed towards radical transformations in business models. This book aims to further our knowledge on business model innovation in new contexts of analysis and with new perspectives of investigation. Insights from business model innovation are presented from studies focusing on start-ups, small businesses and large businesses to provide a bigger picture on new dynamics connected to digital transformation, sustainability, new global relationships. As such, the scope is on new ways to create value, new components and dynamics (such as digitalization and sustainability) concerning the key elements of the business model (value creation, value configuration and value capture), and new relationships between actors that may foster business model innovation. It represents a valuable resource for practitioners willing to innovate business models, academics aiming at finding new research lines, and students keen to learn more about business models.

The most important theme of the discourse on sustainable development and sustainability challenges concerns the relationship between innovation and sustainability. This book represents a realistic critical overview of the state of affairs of sustainable innovations, offering an accessible and comprehensive diagnostic point of reference for both the academic and practitioner worlds. In order for sustainable innovation to truly become mainstream practice in business it is necessary to find out how organizations can strategically and efficiently accommodate sustainability and innovation in such a manner that they accomplish value capturing (for firms, stakeholders, and for society), not merely creating a return on the social responsibility agenda. Addressing this challenge, the book draws together research from a range of perspectives in order to understand the potential shifts and barriers, benefits, and outcomes from all angles: inception, strategic process, and impact for companies and society. The book also delivers insights of (open) innovation in public sector organizations, which is not so much a process of invention as it is one of adoption and diffusion. It examines how the environmental pillar of the triple bottom line in private firms is often a by-product of thinking about the economic pillar, where cost reductions may be achieved through process innovation in terms of eliminating waste and reducing energy consumption. The impact of open innovation on process innovation, and sustainable process innovation in particular, is an underexplored area but is examined in this book. It also considers the role of the individual entrepreneur in bringing about sustainable innovation; entrepreneurs, their small- and medium-sized enterprises (SMEs), as well as the innovation ecosystems they build play a significant role in generating sustainable innovations where these smaller organizations are much more flexible than large organizations in targeting societal needs and challenges. The readership will incorporate PhD students and postgraduate researchers, as well as practitioners from organizational advisory fields.

Designed as a companion to The Economist Style Guide, the best-selling guide to writing style, The Economist Numbers Guide is invaluable for everyone who has to work with numbers, which in today's commercially focussed world means most managers. In addition to general advice on basic numeracy, the guide points out common errors and explains the recognised techniques for solving financial problems, analysing information of any kind, forecasting and effective decision making. Over 100 charts, graphs, tables and feature boxes highlight key points, and great emphasis is put on the all-important aspect of how you present and communicate numerical information effectively and honestly. At the back of the book is an extensive A-Z dictionary of terms covering everything from amortisation to zero-sum game. Whatever your business, whatever your management role, for anyone who needs a good head for figures The Economist Numbers Guide will prove invaluable.

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 book discusses the main techniques and newest trends to manage and optimize the production and service systems. The book begins by examining the three main levels of decision systems in production: the long term (strategic), the middle term (tactical) and short term (operational). It also considers online management as a new level (a sub level of the short term). As each level encounters specific problems, appropriate approaches to deal with these are introduced and explained. These problems include the line design, the line balancing optimization, the physical layout of the production or service system, the forecasting optimization, the inventory management, the scheduling etc. Metaheuristics for Production Systems then explores logistic optimization from two different perspectives: internal (production management), addressing issues of scheduling, layout and line designs, and external (supply chain management) focusing on transportation optimization, supply chain evaluation, and location of production. The book also looks at NP-hard problems that are common in production management. These complex configurations may mean that optimal solutions may not be reached due to variables, but the authors help provide a good solution for such problems. The effective new results and solutions offered in this book should appeal to researchers, managers, and engineers in the production and service industries.

This book surveys big data tools used in macroeconomic forecasting and addresses related econometric issues, including how to capture dynamic relationships among variables; how to select parsimonious models; how to deal with model uncertainty, instability, non-stationarity, and mixed frequency data; and how to evaluate forecasts, among others. Each chapter is self-contained with references, and provides solid background information, while also reviewing the latest advances in the field. Accordingly, the book offers a valuable resource for researchers, professional forecasters, and students of quantitative economics.

This book introduces higher-degree research students and early career academics to scientific research as occurring in the field of information systems and adjacent fields, such as computer science, management science, organization science, and software engineering. Instead of focusing primarily on research methods as many other textbooks do, it covers the entire research process, from start to finish, placing particular emphasis on understanding the cognitive and behavioural aspects of research, such as motivation, modes of inquiry, theorising, planning for research, planning for publication, and ethical challenges in research. Comprehensive but also succinct and compact, the book guides beginning researchers in their quest to do scholarly work and to assist them in developing their own answers and strategies over the course of their work. Jan Recker explains in this book the fundamental concepts that govern scientific research and then moves on to introduce the basic steps every researcher undertakes: choosing research questions, developing theory, building a research design, employing research methods, and finally writing academic papers. He also covers essentials of ethical conduct of scientific research. This second edition contains major updates on all these elements plus significant expansions on relevant research methods such as design research and computational methods, a rewritten and extended chapter on theory development, and expansions to the chapters on research methods, scientific publishing, and research ethics. A companion website provides pedagogical materials and instructions for using this book in teaching.

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 introduces platform firms as unique business models. Leveraging on the early literature on network economics and strategy frameworks, this book explores how platform business firms evolve in the modern business world. Taking a strategic perspective, this book engages the reader with core concepts, case studies, and frameworks for analyzing platform business firms. This book differentiates platform business firms from traditional pipeline firms; explores engagement with different actors, value creation, and operations of platforms; elucidates resources and capabilities of platform firms that provide them sustained competitive advantage; analyzes performance levers in operating platform business models, including complementarities with other business models; and discusses the sustainability of platform business models, in the face of regulatory and societal challenges, among others. The book is designed as a primer for entrepreneurs setting up and operating platform business firms, senior managers in large corporations repurposing their resources to initiate network dynamics in their businesses, early career managers, and professionals engaging with myriad platform firms for their professional and personal needs. This book intends to provide a decision-maker with a portfolio of decisions to make to create, operate, sustain, and generate value out of a platform business firm. It is also useful for policy professionals to appreciate the economics and policy implications of regulating and governing platforms in a post-digital world.

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.