This book presents the edited proceedings of the 16th IEEE/ACIS International Conference on Computer and Information Science (ICIS 2017), which was held on May 24-26, 2017 in Wuhan, China. The aim of this conference was to bring together researchers and scientists, businessmen and entrepreneurs, teachers, engineers, computer users, and students to discuss the various fields of computer science, share their experiences and exchange new ideas and information. The research results included relate to all aspects (theory, applications and tools) of computer and information science, and discuss the practical challenges encountered and the solutions adopted to solve them. The work selected represents 17 of the most promising papers from the conference, written by authors who are certain to make further significant contributions to the field of computer and information science.

In scheduling theory, the models that have attracted considerable attention during the last two decades allow the processing times to be variable, i.e., to be subjected to various effects that make the actual processing time of a job dependent on its location in a schedule. The impact of these effects includes, but is not limited to, deterioration and learning. Under the first type of effect, the later a job is scheduled, the longer its actual processing time becomes. In the case of learning, delaying a job will result in shorter processing times. Scheduling with Time-Changing Effects and Rate-Modifying Activities covers and advances the state-of-the-art research in this area. The book focuses on single machine and parallel machine scheduling problems to minimize either the maximum completion time or the sum of completion times of all jobs, provided that the processing times are subject to various effects. Models that describe deterioration, learning and general non-monotone effects to be considered include positional, start-time dependent, cumulative and their combinations, which cover most of the traditionally used models. The authors also consider more enhanced models in which the decision-maker may insert certain Rate-Modifying Activities (RMA) on processing machines, such as for example, maintenance or rest periods. In any case, the processing times of jobs are not only dependent on effects mentioned above but also on the place of a job in a schedule relative to an RMA. For most of the enhanced models described in the book, polynomial-time algorithms are presented which are based on similar algorithmic ideas such as reduction to linear assignment problems (in a full form or in a reduced form), discrete convexity, and controlled generation of options.

"Handbook of Computational Economics" summarizes recent advances in economic thought, revealing some of the potential offered by modern computational methods. With computational power increasing in hardware and algorithms, many economists are closing the gap between economic practice and the frontiers of computational mathematics. In their efforts to accelerate the incorporation of computational power into mainstream research, contributors to this volume update the improvements in algorithms that have sharpened econometric tools, solution methods for dynamic optimization and equilibrium models, and applications to public finance, macroeconomics, and auctions. They also cover the switch to massive parallelism in the creation of more powerful computers, with advances in the development of high-power and high-throughput computing.

Much more can be done to expand the value of computational modeling in economics. In conjunction with volume one (1996) and volume two (2006), this volume offers a remarkable picture of the recent development of economics as a science as well as an exciting preview of its future potential.
Samples different styles and approaches, reflecting the breadth of computational economics as practiced todayFocuses on problems with few well-developed solutions in the literature of other disciplinesEmphasizes the potential for increasing the value of computational modeling in economics

The objective of this book is to contribute to the development of the intelligent information and database systems with the essentials of current knowledge, experience and know-how. The book contains a selection of 40 chapters based on original research presented as posters during the 8th Asian Conference on Intelligent Information and Database Systems (ACIIDS 2016) held on 14-16 March 2016 in Da Nang, Vietnam. The papers to some extent reflect the achievements of scientific teams from 17 countries in five continents. The volume is divided into six parts: (a) Computational Intelligence in Data Mining and Machine Learning, (b) Ontologies, Social Networks and Recommendation Systems, (c) Web Services, Cloud Computing, Security and Intelligent Internet Systems, (d) Knowledge Management and Language Processing, (e) Image, Video, Motion Analysis and Recognition, and (f) Advanced Computing Applications and Technologies. The book is an excellent resource for researchers, those working in artificial intelligence, multimedia, networks and big data technologies, as well as for students interested in computer science and other related fields.

Q: How many female CEOs does it take to break the glass ceiling?

A: That's the wrong question!

Numbers alone simply don't tell the real story of how women are doing in today's corporate world. Success on Our Own Terms does. It's filled with real stories — stories of ordinary women who are making an extraordinary difference in the way corporations work.

Success on Our Own Terms features women of different ages, ethnic backgrounds, and educational levels. Their combined experiences offer a fascinating portrait of how the corporate landscape has changed for women over the last few decades. This book is filled with the wisdom of these experiences, from important lessons on navigating corporate corridors and influencing the system to juggling work and personal life, helping local communities, and much more.

Exploring the multidimensional definition of success shared by these women, this book reveals how they are working hard to reach their goals, balance their lives, and make a positive contribution to society. It shows how they —and others like them —are transforming the organization from the inside out through their own unique management style, values, vision, and determination.

By designing, achieving, and owning their success, women are exploding conventional definitions of their progress in the workplace. The female voices in Success on Our Own Terms inform, encourage, and inspire us all.

"Wonderful, timely, and absolutely refreshing. Reading this book excited and inspired me, and reaffirmed my belief that the future will be a great place for women." —Sally Helgesen, author of The Female Advantage: Women's Ways of Leadership and Everyday Revolutionaries: Working Women and the Transformation of American Life

"Virginia O'Brien tells the real story —that 'we are entering a new phase in which women are becoming full participants with men in conducting the nation's business.'. . . It's a heartening read, and a good antidote to media tales of doom and gloom." —Caryl Rivers, coauthor of She Works, He Works: How Two Income Families Are Happier, Healthier, and Better Off

"A must read to understand the multidimensional new values successful women bring to the marketplace of ideas. . . . [Readers] will find themselves, a friend, or a loved one on every page." —Carol R. Goldberg, President of the Avcar Group, Ltd. and former President and COO of Stop & Shop Companies, Inc.

"Insightful and informative. This excellent work brings the stories of successful women executives to the forefront." —Charles E. Rice, Chairman and CEO, Barnett Banks, Inc.

"These are inspiring stories, which I highly recommend." —Richard McCormick, Chairman and CEO, US West, Inc.

This book identifies and discusses the main challenges facing digital business innovation and the emerging trends and practices that will define its future. The book is divided into three sections covering trends in digital systems, digital management, and digital innovation. The opening chapters consider the issues associated with machine intelligence, wearable technology, digital currencies, and distributed ledgers as their relevance for business grows. Furthermore, the strategic role of data visualization and trends in digital security are extensively discussed. The subsequent section on digital management focuses on the impact of neuroscience on the management of information systems, the role of IT ambidexterity in managing digital transformation, and the way in which IT alignment is being reconfigured by digital business. Finally, examples of digital innovation in practice at the global level are presented and reviewed. The book will appeal to both practitioners and academics. The text is supported by informative illustrations and case studies, so that practitioners can use the book as a toolbox that enables easy understanding and assists in exploiting business opportunities involving digital business innovation.

This work is dedicated to Wassiliy Leontief's concepts of Input-Output Analysis and to the algebraic properties of Piero Sraffa's seminal models described consequently by matrix algebra and the Perron-Frobenius Theorem. Detailed examples and visualizing graphs are presented for applications of various mathematical methods.

This book offers practical advice on managing enterprise modeling (EM) projects and facilitating participatory EM sessions. Modeling activities often involve groups of people, and models are created in a participatory way. Ensuring that this is done efficiently requires dedicated individuals who know how to organize modeling projects and sessions, how to manage discussions during these sessions, and what aspects influence the success and efficiency of modeling in practice. The book also includes a summary of the theoretical background to EM, although participatory modeling can also be used in conjunction with other methods that are not made for EM, such as those made for goal-oriented requirements engineering and information systems analysis. The first four chapters present an overview of enterprise modeling from various viewpoints (including methods, processes and organizational challenges), providing a background for those that need to refresh their basic knowledge. The next six chapters form the core of the book and detail the roles and competences needed in an EM project, typical stakeholder behaviors and how to handle them, tools and methods for managing participatory modeling and facilitation, and how to train modeling experts for these social aspects of modeling. Lastly, a concluding chapter presents a summary and an outlook on current research in participatory EM. This book is intended for anybody who wants to learn more about how to facilitate participatory modeling in practice and how to set up and carry out EM projects. It does not require any in-depth knowledge about specific EM methods and tools, and can be used by students and lecturers for courses on participatory modeling, and by practitioners wanting to extend their knowledge of social and organizational topics to become an experienced facilitator and EM project manager.

E-supply chain is the use of information technology, electronic means, or cyberspace to bring together widely dispersed suppliers and buyers, to enhance coordination and knowledge sharing, and to manage upstream and downstream value chain channels. ""E-Supply Chain Technologies and Management"" offers the most comprehensive analysis of the concepts, models, and IT infrastructures of electronic supply chains. This Premier Reference Source provides a broad understanding of issues pertaining to the use of emerging information technologies and their impact on supply chain flexibility and management. Professionals, researchers, and practitioners who want to explore the concepts and principles of e-supply chain, or want to apply various e-supply chain models and systems to solve business problems, will find this reference book to be an indispensable tool.

Computer programs that simulate complex processes in the real world can provide a quantitative tool for determining how much debt can be added safely to a company's capital structure. The increasing number of bankruptcies and defaults in today's international business arena result from debt overload and point to major shortcomings in the conventional financial evaluation process. In this book, Roy L. Nersesian describes why current methods of risk management fail and how computer simulation can be employed to determine the safe level of debt more accurately. Because the decision to add debt to an organization requires favorable, and essentially independent, decisions from both the borrower and lender, it is necessary to quantify both perspectives. Through actual examples readers will learn how to do this and to translate an actual business situation into a simulation model or program.

Current evaluation systems, according to Nersesian, fail to incorporate the cyclical nature of business activity. They result all too often in an overly optimistic projection of cash flow. Simulation techniques are better able to incorporate the transience of good times and put quantitative analysis of risk on par with quantitative analysis of reward. Simulation techniques also reduce the role of speculative, and highly subjective, judgment. For example, decisionmakers who are not familiar personally with a particular business area, assign more risk to that area than those who are. A quantified risk management system enables executives to rank projects by the degree of risk much as they currently rank them by degree of profitability. The book presents the concept of simulation in terms that can be understood by generalists in corporations and financial institutions. At the same time, it provides computer programmers with an understanding of risk management principles. It will provide a valuable resource for: financial executives, planners and strategists in corporate and governmental organizations; bank lending officers; and computer programmers working with these organizations.

This proceedings volume presents the latest research from the worldwide mass customization & personalization (MCP) community bringing together new thoughts and results from various disciplines within the field. The chapters are based on papers from the MCPC 2017. The book showcases research and practice from authors that see MCP as an opportunity to extend or even revolutionize current business models. The current trends of Industrie 4.0, digital manufacturing, and the rise of smart products allow for a fresh perspective on MCP: Customization 4.0. The book places a new set of values in the centre of the debate: a world with finite resources, global population growth, and exacerbating climate change needs smart thinking to engage the most effective capabilities and resources. It discusses how Customization 4.0 fosters sustainable development and creates shared value for companies, customers, consumers, and the society as a whole. The chapters of this book are contributed by a wide range of specialists, offering cutting-edge research, as well as insightful advances in industrial practice in key areas. The MCPC 2017 has a strong focus on real life MCP applications, and this proceedings volume reflects this. MCP strategies aim to profit from the fact that people are different. Their objective is to turn customer heterogeneities into opportunities, hence addressing "long tail" business models. The objective of MCP is to provide goods and services that best serve individual customers' needs with near mass production efficiency. This proceedings volume highlights the interdisciplinary work of thought leaders, technology developers, and researchers with corporate entrepreneurs putting these strategies into practice. Chapter 24 is open access under a CC BY 4.0 license via link.springer.com.

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

The use of standards to optimize the interoperability of systems has become commonplace in the business world. Though once believed to limit innovation, it has been shown that standardization promotes organizational growth. Through defining norms for given technologies, managers open themselves to new opportunities and developments. Effective Standardization Management in Corporate Settings is a pivotal reference source that assesses the link between standards and efficiency in the business world. This innovative publication addresses the economic importance, global impacts, effective tools, and strategies employable across all levels of an organization. Ideal for managers, business owners, business students, and IT professionals, this progressive book highlights the best practices and procedures to bring standardization to the forefront of the contemporary business model.

Strategies and Policies in Digital Convergence is the authoritative reference source describing issues in business strategy and public policy rising from digital convergence. Cutting-edge descriptions of mobile communications, broadband networks, and digital multimedia broadcast services are provided. This Premier Reference Source presents new business opportunities generated by digital convergence, and raises governance issues caused by this union. It provides a comprehensive overview of the technological aspects of digital convergence and the resulting business strategies and public policies.

This book presents the latest developments and breakthroughs in fuzzy theory and performance prediction of queuing and reliability models by using the stochastic modeling and optimization theory. The main focus is on analytics that use fuzzy logic, queuing and reliability theory for the performance prediction and optimal design of real-time engineering systems including call centers, telecommunication, manufacturing, service organizations, etc. For the day-to-day as well as industrial queuing situations and reliability prediction of machining parts embedded in computer, communication and manufacturing systems, the book assesses various measures of performance and effectiveness that can provide valuable insights and help arrive at the best decisions with regard to service and engineering systems. In twenty chapters, the book presents both theoretical developments and applications of the fuzzy logic, reliability and queuing models in a diverse range of scenarios. The topics discussed will be of interest to researchers, educators and undergraduate students in the fields of Engineering, Business Management, and the Mathematical Sciences.

This book combines the three dimensions of technology, society and economy to explore the advent of today's cloud ecosystems as successors to older service ecosystems based on networks. Further, it describes the shifting of services to the cloud as a long-term trend that is still progressing rapidly.The book adopts a comprehensive perspective on the key success factors for the technology - compelling business models and ecosystems including private, public and national organizations. The authors explore the evolution of service ecosystems, describe the similarities and differences, and analyze the way they have created and changed industries. Lastly, based on the current status of cloud computing and related technologies like virtualization, the internet of things, fog computing, big data and analytics, cognitive computing and blockchain, the authors provide a revealing outlook on the possibilities of future technologies, the future of the internet, and the potential impacts on business and society.

Currently, there is neither a commonly-accepted definition of information systems (IS) quality nor a convergence of perspectives on quality approaches. The IS community has focused on the various contributions of people, delivery processes, development philosophies and methods. ""Measuring Information Systems Delivery Quality"" represents a spotlight on IS quality that represents the efforts of authors from several countries across the globe. Despite this diversity, this book reflects the common position that improving objective knowledge of potentially quality-enhancing methods is far more likely to assist the production of high-quality software than experimentation with each new gadget. ""Measuring Information Systems Delivery Quality"" provides thoughtful analysis and explains some of the contradictions and apparent paradoxes of the many IS quality perspectives. It offers prescriptions, grounded in research findings, syntheses of relevant, up-to-date literature, and leading IS quality practices to assist the assimilation, measurement, and management of IS quality in order to increase the odds of producing higher quality systems.

Conceptual models play an increasingly important role in all phases of the information systems life cycle. Despite being vital for developing information systems, the modeling process is often resource consuming and faulty. ""Reference Modeling for Business Systems Analysis"" addresses the problems by covering methodological issues and reference models for several industries, as well as concepts and techniques introduced with concrete examples. ""Reference Modeling for Business Systems Analysis"" covers all aspects of reference modeling, and provides foundations for model-driven systems development. This book helps to efficiently reuse conceptual models and explains best practice models for manufacturing, retail, and electronic business.

Closed Circuit TeleVision (CCTV) cameras have been increasingly deployed pervasively in public spaces including retail centres and shopping malls. Intelligent video analytics aims to automatically analyze content of massive amount of public space video data and has been one of the most active areas of computer vision research in the last two decades. Current focus of video analytics research has been largely on detecting alarm events and abnormal behaviours for public safety and security applications. However, increasingly CCTV installations have also been exploited for gathering and analyzing business intelligence information, in order to enhance marketing and operational efficiency. For example, in retail environments, surveillance cameras can be utilised to collect statistical information about shopping behaviour and preference for marketing (e.g., how many people entered a shop; how many females/males or which age groups of people showed interests to a particular product; how long did they stay in the shop; and what are the frequent paths), and to measure operational efficiency for improving customer experience. Video analytics has the enormous potential for non-security oriented commercial applications. This book presents the latest developments on video analytics for business intelligence applications. It provides both academic and commercial practitioners an understanding of the state-of-the-art and a resource for potential applications and successful practice.

Written to bridge the information needs of management and computational scientists, this book presents the first comprehensive treatment of Computational Red Teaming (CRT). The author describes an analytics environment that blends human reasoning and computational modeling to design risk-aware and evidence-based smart decision making systems. He presents the Shadow CRT Machine, which shadows the operations of an actual system to think with decision makers, challenge threats, and design remedies. This is the first book to generalize red teaming (RT) outside the military and security domains and it offers coverage of RT principles, practical and ethical guidelines. The author utilizes Gilbert's principles for introducing a science. Simplicity: where the book follows a special style to make it accessible to a wide range of readers. Coherence: where only necessary elements from experimentation, optimization, simulation, data mining, big data, cognitive information processing, and system thinking are blended together systematically to present CRT as the science of Risk Analytics and Challenge Analytics. Utility: where the author draws on a wide range of examples, ranging from job interviews to Cyber operations, before presenting three case studies from air traffic control technologies, human behavior, and complex socio-technical systems involving real-time mining and integration of human brain data in the decision making environment.

The changing dynamics of business worldwide have led organizations to look beyond traditional managerial practices while at the same time attempting to retain their core competitive advantages. This development has called upon academicians and practitioners alike to reassess the different aspects of business management such as macroeconomic variables, the nature of the market, the changing features of the workplace, the new work ethos, and/or employer-employee exchanges. In this context, the book provides essential insights on industry innovations, academic advances and policy movements with regard to recovering markets in India and around the globe. The individual papers highlight potential avenues that could allow industry to better understand and respond to the global crisis. The book collects research papers presented at the Global Conference on Managing in Recovering Markets (GCMRM), held in March 2014. Seven international and 120 national business schools and management universities were represented at the conference, the first in a series of 13 planned under the GCMRM agenda for 2014 17. The book includes more than 30 research papers chosen from a pool of 118 presented at the conference, all of which have undergone a rigorous blind review process."

This established and popular text is regarded as one of the clearest and most comprehensive in its field. David Eadson has joined Jon Curwin and Roger Slater in the author team, and together they have sought to offer a more compact book with all the qualities of the previous six editions, whilst strengthening the links to online support materials. The new edition has been enhanced to reflect the latest learning plans and techniques, providing students with all the tools they need to pass the typical Quantitative Methods course. Each chapter focuses on a selection of statistical techniques, illustrated with examples from across business, marketing, economics, finance, and public administration, to appeal to students across the business spectrum. Whilst all core material is covered in the book itself, the online offering has been bolstered to include Parts 6-8 covering 'Modelling', 'Mathematical Topics' and 'Student Guides' respectively, in addition to a wide range of other resources including datasets and extra learning tools. Visual signposts throughout the text guide the student to the online platform to provide a seamless interaction between the two this providing a multi-faceted learning experience. The wide-ranging coverage provided makes this the ideal text for the teaching of quantitative methods across all business disciplines at undergraduate, MBA, and post-experience levels.

This is the third of a series of research volume of papers from the Business and Information Technologies global research network. The group includes 20 partners from 16 countries, who conduct studies on the impact of new information and communication technologies on business practice, industry structure, and economic change. The book presents a unique longitudinal and cross-sectional view of technology adoption and business practice across a diverse set of countries and economies. It appears that there are some commonalities with respect to patterns of technology adoption , but also significant differences across countries. Furthermore, innovative practices can arise in every country, and have the potential to be applied in other countries. The identical survey carried out in different countries enables benchmarking and accurate comparisons across those markets. It is also extremely broad in its coverage of business practice in terms of functions and performance.

Synthetic Worlds, Virtual Worlds, and Alternate Realities are all terms used to describe the phenomenon of computer-based, simulated environments in which users inhabit and interact via avatars. The best-known commercial applications are in the form of electronic gaming, and particularly in massively-multiplayer online role-playing games like World of Warcraft or Second Life. Less known, but possibly more important, is the rapid adoption of platforms in education and business, where Serious Games are being used for training purposes, and even Second Life is being used in many situations that formerly required travel. The editors of this book captures the state of research in the field intended to reflect the rapidly growing yet relatively young market in education and business. The general focus is set on the scientific community but integrates the practical applications for businesses, with papers on information systems, business models, and economics. In six parts, international authors - all experts in their field - discuss the current state-of-the-art of virtual worlds/alternate realities and how the field will develop over the next years. Chapters discuss the influences and impacts in and around virtual worlds. Part four is about education, with a focus on learning environments and experiences, pedagogical models, and the effects on the different roles in the educational sector. The book looks at business models and how companies can participate in virtual worlds while receiving a return on investment, and includes cases and scenarios of integration, from design, implementation to application.

This book accomplishes an analysis of critical aspects of managerial implications on the business with information. The business dealing with information is spreading in the service market; and, an efficient management of informational processes, in order to perform successful business with them, is now crucial. Besides, economical/business, technological or any other kind of information, organized in a variety of forms, can be considered as an 'informational product'. Thus, creating a business value out of information is challenging but vital, especially in the modern digital age. Accordingly, the book covers the methods and technologies to capture, integrate, analyze, mine, interpret and visualize information out of distributed data, which in turn can help to manage information competently. This volume explores the challenges being faced and opportunities to look out for in this research area, while discussing different aspects of this subject. The book will be of interest to those working in or are interested in joining interdisciplinary and transdisciplinary work in the areas of information management, service management, and service business. It will also be of use to young generation researchers by giving them an overview on different aspects of doing business with information. While introducing them to both technical and non-technical details, as well as economic aspects, the book will also be extremely informative for professionals who want to understand and realize the potential of using the cutting-edge managerial technologies for doing successful business with information/ services.