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Books > Business & Economics > Business & management > Business mathematics & systems > General
This textbook grew out of notes for the ECE143 Programming for Data Analysis class that the author has been teaching at University of California, San Diego, which is a requirement for both graduate and undergraduate degrees in Machine Learning and Data Science. This book is ideal for readers with some Python programming experience. The book covers key language concepts that must be understood to program effectively, especially for data analysis applications. Certain low-level language features are discussed in detail, especially Python memory management and data structures. Using Python effectively means taking advantage of its vast ecosystem. The book discusses Python package management and how to use third-party modules as well as how to structure your own Python modules. The section on object-oriented programming explains features of the language that facilitate common programming patterns. After developing the key Python language features, the book moves on to third-party modules that are foundational for effective data analysis, starting with Numpy. The book develops key Numpy concepts and discusses internal Numpy array data structures and memory usage. Then, the author moves onto Pandas and details its many features for data processing and alignment. Because strong visualizations are important for communicating data analysis, key modules such as Matplotlib are developed in detail, along with web-based options such as Bokeh, Holoviews, Altair, and Plotly. The text is sprinkled with many tricks-of-the-trade that help avoid common pitfalls. The author explains the internal logic embodied in the Python language so that readers can get into the Python mindset and make better design choices in their codes, which is especially helpful for newcomers to both Python and data analysis. To get the most out of this book, open a Python interpreter and type along with the many code samples.
This book addresses the challenges facing information management (IM) and presents practical solution propositions. The first section describes six current trends and challenges to IM. The second section introduces a comprehensive model of integrated information management (IIM). The third section, using six practical examples, describes how selected concepts of IIM can be implemented. This book is built upon the fundamental premise of transferring successful management concepts from industrial production to IT management.
The book serves as a connecting medium between various domains and Blockchain technology, discussing and embracing how Blockchain technology is transforming all the major sectors of the society. The book facilitates sharing of information, case studies, theoretical and practical knowledge required for Blockchain transformations in various sectors. The book covers different areas that provide the foundational knowledge and comprehensive information about the transformations by Blockchain technology in the fields of business, healthcare, finance, education, supply-chain, sustainability and governance. The book pertains to students, academics, researchers, professionals, and policy makers working in the area of Blockchain technology and related fields.
This volume offers state-of-the-art research in service science and its related research, education and practice areas. It showcases recent developments in smart service systems, operations management and analytics and their impact in complex service systems. The papers included in this volume highlight emerging technology and applications in fields including healthcare, energy, finance, information technology, transportation, sports, logistics, and public services. Regardless of size and service, a service organization is a service system. Because of the socio-technical nature of a service system, a systems approach must be adopted to design, develop, and deliver services, aimed at meeting end users' both utilitarian and socio-psychological needs. Effective understanding of service and service systems often requires combining multiple methods to consider how interactions of people, technology, organizations, and information create value under various conditions. The papers in this volume present methods to approach such technical challenges in service science and are based on top papers from the 2019 INFORMS International Conference on Service Science.
This book is a result of ISD2000-The Ninth International Conference on Infor mation Systems Development: Methods and Tools, Theory and Practice, held August 14-16, in Kristiansand, Norway. The ISD conference has its roots in the first Polish Scandinavian Seminar on Current Trends in Information Systems Development Method ologies, held in Gdansk, Poland in 1988. This year, as the conference carries into the new millennium this fine tradition, it was fitting that it returned to Scandinavia. Velkommen tilbake Next year, ISD crosses the North Sea and in the traditions of the Vikings, invades England. Like every ISD conference, ISD2000 gave participants an opportunity to express ideas on the current state of the art in information systems development, and to discuss and exchange views about new methods, tools and applications. This is particularly important now, since the field of ISD has seen rapid, and often bewildering, changes. To quote a Chinese proverb, we are indeed cursed, or blessed, depending on how we choose to look at it, to be "living in interesting times.""
This book clarifies the direction of business innovation using new ICT such as the Internet of things (IoT), artificial intelligence (AI), smartphones, and cloud computing through a series of case studies on successful trials and advanced businesses in the Asia-Pacific where many industry sectors have been growing successfully in the 21st century. ICT has been playing an important role in value creation for customers and in profit generation for providers, contributing to various service innovation and business innovation. Now, digitalization using IoT and AI provides solutions to address various issues in the human society, which is transforming services and businesses in the 21st century. "What is the direction of the business innovation using new ICT?" is a highly concerned question for business researchers and practitioners. Aiming to answer the question, this book conducts a number of cases studies in the Asia-Pacific region, including the Mainland China, Taiwan, Japan, Malaysia, Vietnam, as well as Australia. Among the studies, there are 4 cases from ICT providers, 4 cases from traditional and services, and 6 cases from new ICT applications and businesses. Each case analyzes social needs and human desires, new value created, roles of new technologies, processes and difficulties in developing new businesses, the relationship among customers, providers, and stakeholders, value chain co-creation and optimization, factors of success, and business models. Finally, the direction of business innovation with new ICT in the Asia-Pacific is suggested by summarizing the findings from the case studies through the lens of the theoretical analysis in service science.
This book presents a comprehensive analysis of the alterations and problems caused by new technologies in all fields of the global digital economy. The impact of artificial intelligence (AI) not only on law but also on economics is examined. In the first part, the economics of AI are explored, including topics such as e-globalization and digital economy, corporate governance, risk management, and risk development, followed by a quantitative econometric analysis which utilizes regressions stipulating the scale of the impact. In the second part, the author presents the law of AI, covering topics such as the law of electronic technology, legal issues, AI and intellectual property rights, and legalizing AI. Case studies from different countries are presented, as well as a specific analysis of international law and common law. This book is a must-read for scholars and students of law, economics, and business, as well as policy-makers and practitioners, interested in a better understanding of legal and economic aspects and issues of AI and how to deal with them.
This book offers a comprehensive and readable introduction to modern business and data analytics. It is based on the use of Excel, a tool that virtually all students and professionals have access to. The explanations are focused on understanding the techniques and their proper application, and are supplemented by a wealth of in-chapter and end-of-chapter exercises. In addition to the general statistical methods, the book also includes Monte Carlo simulation and optimization. The second edition has been thoroughly revised: new topics, exercises and examples have been added, and the readability has been further improved. The book is primarily intended for students in business, economics and government, as well as professionals, who need a more rigorous introduction to business and data analytics - yet also need to learn the topic quickly and without overly academic explanations.
This book provides a detailed theoretical background of Logistics 4.0 using real-world examples and case studies and proposes a methodological framework to understand the technological revolutions happening in the present day from the perspective of logistics management. With the fourth industrial revolution, new technologies, such as artificial intelligence, cloud computing, 3D printers and the Internet of Things started to take greater prominence in the world of business. One of the sectors most affected by changes brought on by this Industry 4.0 is logistics, which has given rise to the concept of Logistics 4.0. Covering a wide range of topics on Logistics 4.0, such as warehousing, big data, 3D printing, robotics and cloud computing, this book would be a valuable read for those involved in logistics management, academics and students in the areas of supply chain management, logistics, industry 4, and big data. .
Is Your Company Getting the Most from Its Investment in Change? Many companies have already invested heavily in infrastructure change, some are making that investment now, and all are contemplating the costs of becoming or evolving as an e-business. Is your company a "greenfield" organization with no back-end systems, or one whose infrastructure support systems are integrated across the enterprise? Are you just beginning to think about e-business capabilities, or are you on the leading edge of convergence? Whatever your company’s position on the ERP/E-Business Matrix, E-Business and ERP: Transforming the Enterprise provides the proven techniques you need to know to meld enterprise resource planning capabilities with the communications power of the Internet. Is Your Company Positioned for E-Business Success? The Internet has revolutionized twenty-first century business. Organizations today can communicate with customers, suppliers, and sellers at e-speed with the click of a mouse. Yet, with all of the excitement about the external possibilities of the Internet, companies still need efficient internal processes to make and move products, manage finances, recruit and motivate employees, and excel. E-Business and ERP: Transforming the Enterprise covers the skills and tools you will need to combine existing ERP software and capabilities with emerging Web-based technologies. In this forward-thinking outline for a new business structure, executives and managers will discover:
The companies best positioned to succeed in the near future are those that can balance existing ERP-based infrastructures and capabilities with exciting new e-business innovations. E-Business and ERP: Transforming the Enterprise examines the changing but essential role of ERP, places it in the context of the Web-based technologies defining today’s e-business environment, and reveals how to blend the best aspects of both to create a strong and flexible twenty-first century business enterprise.
This book examines the factors that shape the adoption and continuous usage of new technology by employees in organizations. While within an organization new technology adoption has evolved from its traditional role to a more strategic one, the appropriate adoption of new technology can only add value to organizations. Identifying the factors that influence this adoption process is crucial for successful adoption of new technology in organizations. The study presented in this book focuses on individual, organizational, social, and industrial factors and uses those to offer a comprehensive model of Enterprise Resource Planning (ERP) application adoption. It contributes towards understanding employees' acceptance and adoption of enterprise-level technological innovation, allowing organizations to create a work environment conducive to individual implementation and acceptance of new technology. It appeals to researchers interested in studying the adoption of ERP and other innovative technologies in organizations.
This book presents a collection of the most current research into systemic creativity and TRIZ, engendering discussion and the exchange of new discoveries in the field. With chapters on idea generation, decision making, creativity support tools, artificial intelligence and literature based discovery, it will include a number of instruments of inventive design automation. Consisting of 15-20 chapters written by leading experts in the theory for inventive problem solving (TRIZ) and adjacent fields focused upon heuristics, the contributions will add to the method of inventive design, dialogue with other tools and methods, and teaching creativity in management education through real-life case studies.
This book is an outcome of the 33rd International Conference EnviroInfo 2019, held at the University of Kassel, Germany. It presents a selection of papers that describe innovative scientific approaches and ongoing research in environmental informatics and the emerging field of computational sustainability. The respective articles cover a broad range of scientific aspects including advances in core technologies such as earth observation, environmental modelling, big data and machine learning, as well as applications of ICT solutions intended to support societal transformation processes toward the more sustainable management of resource use, transportation and the energy supply. Given its scope, the book is essential reading for scientists, experts and students in these fields of research.
This book investigates the real process of unleashing the power of Information and Communications Technology (ICT) through Open Innovation and strategic choices. It covers the most important aspects of ICT in a nutshell and details the road to the future through business innovation. ICT, of which telecom and IT constitute the core, is currently permeating and transforming every sphere of life, ranging from commerce, manufacturing, education and healthcare, to agriculture, banking, governance, media and entertainment. Today, telecommunication and ICT, in general, are essential to a country's economic development and competitiveness as recognized both by the World Bank and the Asian Development Bank. Due to the powerful, disruptive and rapid forces unleashed by ICT tsunami, organisations not only struggle to harness the potential of ICT but can also be overwhelmed by the changes, complexity, competition and regulatory environment it brings up. This book provides a clue to organisations on how to sustain and succeed by leveraging ICT in absence of extensive in-house expertise across the breadth and depth of these areas. The driving theme of the book is about opening up organizational and business models, by presenting an integrated roadmap to a future with ICT, by co-opting, cooperating and competing with other organisations. Constructing the right strategy and building the necessary social capital for open innovation through collaboration with partners, government, academia and users (Quadruple Helix Model) are essential steps in such a process.
This book features a collection of high-quality research papers presented at the International Conference on Tourism, Technology & Systems (ICOTTS 2020), held at the University of Cartagena, in Cartagena de Indias, Colombia, from 29th to 31st October 2020. The book is divided into two volumes, and it covers the areas of technology in tourism and the tourist experience, generations and technology in tourism, digital marketing applied to tourism and travel, mobile technologies applied to sustainable tourism, information technologies in tourism, digital transformation of tourism business, e-tourism and tourism 2.0, big data and management for travel and tourism, geotagging and tourist mobility, smart destinations, robotics in tourism, and information systems and technologies.
This book offers a multidisciplinary resource on digital government, while specifically focusing on its role within the emerging market of India. The Government of India (GoI) is concentrating on transforming India under the Digital India initiative. In order to do so, it has emphasized three core areas: (1) Computing infrastructure as a utility to every citizen; (2) Governance and services on demand; and (3) Digital empowerment of citizens. The chapters in this book address issues surrounding these areas, highlighting concepts such as knowledge societies, urban operations and logistics, issues in managing emergent Information Communication Technologies (ICTs), and also smart analytics for urbanization. The chapters contribute to the theory, practice and policy for a "Digital India." The book captures lessons, knowledge, experiences (about challenges, drivers, antecedents, etc.) and best practices emerging from implementation of various projects. While the book is dedicated to a "Digital India," this book can also be valuable resource for public administrators, government officials and researchers in other emerging markets and developing countries in Asia, Africa and Latin America where similar socio-political and economic conditions exist.
This book explores the undeveloped potential of video-ethnography to study the material, embodied and sensory dimensions of workplace practices. With the growing interest in sociomateriality and the development of research on the embodied and sensory dimensions of organizational practices, some methodological challenges of this type of research need to be addressed. The main purpose of this book is to present various forms of video-ethnography that make organizational phenomena visible and help better appreciate the organizing properties of bodies, affects, senses and spaces in workplace practices. To do so, illustrative cases based on video-ethnography was discussed to understand how experiential and unspoken ways of knowing produced through a video-based approach can be made meaningful and relevant to study the material, embodied and sensory dimension of work practices. This book is addressed to researchers and students in social sciences and organizational studies and offers a methodological reflection on how to study the material, embodied, and sensory dimensions of organizational life.
This book brings together contributions from consultants, academics and executives with experience in large and small companies. They describe existing IT practice and show how an IT strategy can be developed. Common problems are discussed, and methods of avoiding them or solving them are explained.
This book takes a fresh look at understanding how financial markets behave. Using recent ideas from the highly-topical science of complexity and complex systems, the book provides the basis for a unified theoretical description of how today's markets really work. Since financial markets are an excellent example of a complex system, the book also doubles as a science textbook.
Consumers, Prosumers, Prosumagers: How Service Innovations will Disrupt the Utility Business Model examines customer stratification in the electric power sector, arguing that it is poised to become one of the fundamental drivers of the 21st century power network as distributed energy generation, storage, sharing and trading options become available at scale. The book addresses the interface and the relationship between key players and their impacts on incumbent and disruptive service providers. Topics covered include innovations that lead to consumer stratification, regulatory policy, the potential of service, the speed and spread of stratification, and a review of potential business models and strategies. The work also covers the evolution and potential end-states of electricity service provision, from its basis in current pilot programs as distributed generation scales and its potential to supplant industry norms.
This book collects essential research on the practical application of executable business process modeling in real-world projects, i.e., model-driven solutions for the support and automation of digital business processes that are created using languages such as BPEL or BPMN. It mainly focuses on empirical research, but also includes an up-to-date cross-section of case studies in order to assess examples of BPM's practical impact in the industry. On the one hand, executable models are formally and precisely defined so that computers can interpret and execute them; on the other, they are visualized so that humans can describe, document and optimize business processes at a higher level of abstraction than with traditional textual programming languages. While these important research areas have long been separated from one another, this book is an attempt at cross-fertilization, driven by the insight that business processes are the software behind today's digital organizations, and that achieving a precise representation of such processes is key to their reliable execution. Consequently, the book presents various case studies and experiments that investigate questions of interest to both academia (e.g., identifying challenges for which no solution exists; sharing new insights into how existing approaches are actually used) and industry (e.g., guidelines on using certain technologies and on modeling comprehensible and executable processes). Both researchers and practitioners will benefit from the presentation of how concepts are transformed into working solutions. The studies are presented in a structured manner and with sufficient rigor to be considered empirical research, further enhancing the book's value for the research community, while practitioners will find concrete guidance on making the right decisions for their projects.
This book aims to provide relevant theoretical frameworks and the latest empirical research findings in Internet of Things (IoT) in Management Science and Operations Research. It starts with basic concept and present cases, applications, theory, and potential future. The contributed chapters to the book cover wide array of topics as space permits. Examples are from smart industry; city; transportation; home and smart devices. They present future applications, trends, and potential future of this new discipline. Specifically, this book provides an interface between the main disciplines of engineering/technology and the organizational, administrative, and planning capabilities of managing IoT. This book deals with the implementation of latest IoT research findings in practice at the global economy level, at networks and organizations, at teams and work groups and, finally, IoT at the level of players in the networked environments. This book is intended for professionals in the field of engineering, information science, mathematics, economics, and researchers who wish to develop new skills in IoT, or who employ the IoT discipline as part of their work. It will improve their understanding of the strategic role of IoT at various levels of the information and knowledge organization. The book is complemented by a second volume of the same editors with practical cases.
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.
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
A unique core text that provides both a framework and roadmap for lecturers designing a teaching programme as well as the core text for them to use with their students Fully updated with a new chapter on climate change education, along with coverage of many rising topics such as risk and resilience, blockchain, AI, and social justice issues The roadmap can also be used by lecturers that need to embed Sustainable Development Goals into their teaching on a range of business and management programmes, including marketing, HR, Economics, Operations Management and financial reporting Supported by a teacher's manual and PowerPoint slides |
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