Cultural proximity consists in shared language, codes ,and norms of communication and exchange between actors. It is generally considered important for organizations, enhancing communication and facilitation interaction between actors. In such situation, diversity is often seen as a source of richness and originality. However, high levels of proximity might create some risk, leading to lock-in and inertia, with a negative impact on the innovativeness of the organization. While the role of cultural proximity is subject to much debate within organizations studies, a comprehensive understanding of cultural proximity remains elusive. This book explores the organizational implications of the concept of cultural proximity, delving into the managerial challenges posed by diversities and similarities in culture within a business environment using different levels of analysis. The key messages of the present book, grounded on original empirical evidence, can be summarized as follows: cultural proximity is a key factor for managing innovation in present times; innovation requires a deliberate orchestration of the dichotomy between cultural proximity/cultural diversity; there are specific circumstances where proximity can be beneficial for managers and entrepreneurs. The book will be of value to researchers, academics, managers, and students in the fields of management science, human resource management, innovation studies, and organizational studies.

Technology is constantly changing the way enterprises conduct business by optimizing current practices. As information technology continues to evolve and become a prevalent feature in day-to-day activities within organizations, it has become necessary to manage these technologies in order to meet the strategic objectives of an organization. Strategic IT Governance and Alignment in Business Settings investigates emergent research methodologies involving the application of information technology in organizations. Focusing on best practices, implementation issues, and empirical research within the field, this book is ideally suited for researchers, academics, students, and practitioners interested in the governance, strategy, architecture, and management of information systems.

Free/libre open source software (FLOSS) ecosystems such as Linux have had a tremendous impact on computing and society and have captured the attention of businesses, researchers, and policy makers. Research on FLOSS has been ongoing for almost two decades. From an economic perspective, the most common topics involve motivation and organization. As commercial participation in FLOSS has become common, the question of how to combine FLOSS practice with commercial practice has been the subject of research, particularly with a view to understanding how to ensure sustainability of the ecosystem. This book is based on a Shonan meeting on FLOSS ecosystem sustainability held in June 2017. The meeting brought together a blend of established and young researchers who were actively studying the FLOSS phenomenon. These researchers were drawn from a variety of disciplines including software engineering, human computer interaction, information systems, computer-supported cooperative work, data mining, cognitive science, psychology, operations research, and management. Industry practitioners who were active in the FLOSS space also participated. This book presents the results of discussion on fundamental questions related to the impact and sustainability of FLOSS ecosystems, including: * How does an ecosystem form? How do different stakeholders work together to form a community that develops and maintains valuable and freely available software, and how does an ecosystem with millions of repositories and developers operate given the lack of centralized planning? * How does an ecosystem evolve in response to the environment as technology and needs evolve over time? * How do newcomers learn the protocols and practices of an ecosystem? How would they sustain the ecosystem? What is the relationship between people and ecosystem sustainability?

Human, Social, and Organizational Aspects of Health Information Systems offers an evidence-based management approach to issues associated with the human and social aspects of designing, developing, implementing, and maintaining health information systems across a healthcare organization - specific to an individual, team, organizational, system, and international perspective. Integrating knowledge from multiple levels, this book will benefit scholars and practitioners from the medical information, health service management, information technology arenas.

Although various factors contribute to failed change, one of the key reasons for change failure is the inability of leaders to gain the trust of employees, to understand the interaction between their subordinates, and to convince them to support change and to commit the energy and effort necessary to implement it. The aims of this book are to establish theories in order to describe and explain how human behaviors and contexts interact dynamically in these changes, and manage change and justice by reducing inequalities, giving emphasis to distributive justice. In addition, the aim of this book is also for readers to better understand employees' perceptions of organizational justice by senior management which is particularly important during the organizational change because change cannot succeed without the acceptance and support from employees. Organizational Justice and Organizational Change: Managing by Love provides readers a theoretical understanding and recommendations for acting properly in an organization, forming a comprehensive tool and better enable practitioners to achieve management of change and justice in organizations. It will be of interest to researchers, academics, practitioners, and students in the fields of change management, organizational studies, leadership, and strategic management.

Education and research in the field of strategic information technology can prove problematic without the proper resources and tools on the most relevant issues, trends, and advancements. Selected Readings on Strategic Information Systems supplements course instruction and student research with quality chapters focused on key issues concerning information technology in support of the strategic management of organizations. Containing over 30 chapters from authors across the globe, these selected readings in areas such as decision science, enterprise resource planning, and knowledge management depict the most relevant and important areas of classroom discussion within the categories of Fundamental Concepts and Theories; Development and Design Methodologies; Tools and Technologies; Application and Utilization; Critical Issues; and Emerging Trends.

Healthcare Information Systems and Informatics: Research and Practices compiles estimable knowledge on the research of information systems and informatics applications in the healthcare industry. This book addresses organizational issues, including technology adoption, diffusion, and acceptance, as well as cost benefits and cost effectiveness, of advancing health information systems and informatics applications as innovative forms of investment in healthcare. Rapidly changing technology and the complexity of its applications make this book an invaluable resource to researchers and practitioners in the healthcare fields.

This book has a focus on the development and deployment of the Industrial Internet of Things (IIoT) paradigm, discussing frameworks, methodologies, benefits and limitations, as well as providing case studies of employing the IoT vision in the industrial domain. IIoT is becoming an attractive business reality for many organisations such as manufacturing, logistics, oil and gas, energy and other utilities, mining, aviation, and many more. The opportunities for this paradigm are huge, and according to one report, the IIoT market is predicted to reach $125 billion by 2021. The driving philosophy behind the IIoT is that smart machines are better than humans at accurately capturing, analysing and communicating real-time data. The underlying technologies include distributed computing, machine learning, artificial intelligence, and machine-to-machine communication, with a typical IIoT system consisting of intelligent systems (applications, controllers, sensors, and security mechanisms), data communication infrastructure (cloud computing, edge computing, etc.), data analytics (to support business intelligence and corporate decision making), and most importantly the human element. The promised benefits of the IIoT include enhanced safety, better reliability, smart metering, inventory management, equipment tracking, and facilities management. There are, however, numerous issues that are also becoming the focus of active research, such as concerns regarding service availability, data security, and device communication. Lack of ubiquitous interoperability between heterogeneous devices is also a major concern. This book intends to fill a gap in the IIoT literature by providing the scientific contributions and latest developments from researchers and practitioners of international repute, focusing on frameworks, methodologies, benefits, and inherent issues/barriers to connected environments, especially in industrial settings. The intended audience includes network specialists, hardware engineers, and security experts who wish to adopt newer approaches for device connectivity, IoT security, and sensor-based devices design. University level students, researchers and practitioners will also find the latest innovation in technology and newer approaches relevant to the IIoT from a distributed computing perspective.

This book contains state-of-the-art research studies on the concepts, theory, processes, and real world applications of geographical information systems (GIS) in business. Its chapters are authored by many of the leading experts in applying GIS and geospatial science to business. This book utilizes a wide variety of approaches and methodologies including conceptual theory development, research frameworks, quantitative and qualitative methods, case studies, systems design, DSS theory, and geospatial analysis combined with point-of-sale. Since relatively little research has been published on GIS in business, this volume is pioneering and is the principal compendium of the latest research in this area. Geographic Information Systems in Business will impact not only the underlying definitions, concepts, and theories of GIS in business and industry, but its practice as well.

In recent years, the focus of environmental responsibility has shifted toward companies and a variety of highly specific, heterogeneous solutions for different environmental issues have been created. These solutions comprise a special category of information systems, termed Corporate Environmental Management Information Systems (CEMIS). Corporate Environmental Management Information Systems: Advancements and Trends addresses the continuing need for companies to take a holistic and strategic approach towards material and energy efficiency, emission and waste reduction, recycling, stakeholder engagement, and legal compliance. As Corporate Environmental Management Information Systems that support only operational goals are becoming obsolete, the need for a reference redefining these systems to provide integrated solutions to environmental and economic problems is needed.

A groundbreaking, flexible approach to computer science anddata science The Deitels' Introduction to Python for ComputerScience and Data Science: Learning to Program with AI, Big Data and the Cloudoffers a unique approach to teaching introductory Python programming,appropriate for both computer-science and data-science audiences. Providing themost current coverage of topics and applications, the book is paired withextensive traditional supplements as well as Jupyter Notebooks supplements.Real-world datasets and artificial-intelligence technologies allow students towork on projects making a difference in business, industry, government andacademia. Hundreds of examples, exercises, projects (EEPs) and implementationcase studies give students an engaging, challenging and entertainingintroduction to Python programming and hands-on data science. The book's modular architecture enables instructors toconveniently adapt the text to a wide range of computer-science anddata-science courses offered to audiences drawn from many majors.Computer-science instructors can integrate as much or as little data-scienceand artificial-intelligence topics as they'd like, and data-science instructorscan integrate as much or as little Python as they'd like. The book aligns withthe latest ACM/IEEE CS-and-related computing curriculum initiatives and withthe Data Science Undergraduate Curriculum Proposal sponsored by the NationalScience Foundation.

Education and research in the field of information technology and business systems management can prove problematic without the proper resources and tools on the most relevant issues, trends, and advancements. Selected Readings on Information Technology and Business Systems Management supplements course instruction and student research with quality chapters focused on key issues concerning technology in business. Containing over 30 chapters from authors across the globe, these selected readings in areas such as e-business, mobile marketing, and information resources management depict the most relevant and important areas of classroom discussion within the categories of Fundamental Concepts and Theories; Development and Design Methodologies; Tools and Technologies; Application and Utilization; Critical Issues; and Emerging Trends.

Electronic participation is an emerging and growing research area that makes use of internet solutions to enhance citizens' participation in government processes in order to provide a fair and efficient society. This book examines recommender-system technologies and voting advice applications as tools to enable electronic citizen participation during election campaigns. Further, making use of fuzzy classification, it provides an evaluation framework for eParticipation. A dynamic voting advice application developed for the 2017 Ecuador national election serves as a real-world case study to introduce readers to the practical implementation and evaluation issues. The book concludes with a comprehensive analysis of the 2017 election project based on altmetrics, Google Analytics and statistics from the case study.

There have arisen, in various settings, unmistakable calls for involvement of psychological factors in IT work, notably in development and deployment of information systems. Managing Psychological Factors in Information Systems Work: An Orientaion to Emotional Intelligence "pulls together" areas of existing involvement, to suggest yet new areas and to present an initial, and coherent vision and framework for, essentially, extending and humanizing the sphere of IT work. It may be indeed noteworthy that, while the Industrial Revolution may have moved the human person into intellectual predominance, the IT Revolution, with its recent calls for addressing and involving the "whole person," may indeed be initiating a re-centering of the human being in his/her essential core, giving rise to new consciousness, new vision and new, empowering experiences. May this book encourage the first few steps along a new and vivifying path!

Enterprise integration is a broad activity that involves solving a range of issues relating to business process definition, common data standards, architectural compatibility, technical interoperability, and organizational alignment. Enterprise Architecture and Integration: Methods, Implementation, and Technologies provides a detailed analysis of the important strategies for integrating IT systems into fields such as e-business and customer-relationship management. This Premier Reference Source supplies readers with a comprehensive survey of existing enterprise architecture and integration approaches, and presents case studies that illustrate best practices. It takes a holistic view of enterprise integration, describing innovative methods, tools, and architectures with which organizations can systematically achieve enterprise integration.

This book is specially designed to refresh and elevate the level of understanding of the foundational background in probability and distributional theory required to be successful in a graduate-level statistics program. Advanced undergraduate students and introductory graduate students from a variety of quantitative backgrounds will benefit from the transitional bridge that this volume offers, from a more generalized study of undergraduate mathematics and statistics to the career-focused, applied education at the graduate level. In particular, it focuses on growing fields that will be of potential interest to future M.S. and Ph.D. students, as well as advanced undergraduates heading directly into the workplace: data analytics, statistics and biostatistics, and related areas.

This book presents current developments in smart city research and application regarding the management of manufacturing systems, Industry 4.0, transportation, and business management. It suggests approaches to incorporating smart city innovations into manufacturing systems, with an eye towards competitiveness in a global environment. The same pro-innovative approach is then applied to business and cooperation management. The authors also present smart city transportation solutions including vehicle data processing/reporting system, mobile application for fleet managers, bus drivers, bus passengers and special applications for smart city buses like passenger counting system, IP cameras, GPS system etc. The goal of the book is to establish channels of communication and disseminate knowledge among researchers and professionals working on smart city research and application. Features contributions on a variety of topics related to smart cities from global researchers and professionals in a wide range of sectors; Presents topics relating to smart cities such as manufacturing, business, and transportation; Includes expanded selected papers from EAI International Conference on Management of Manufacturing Systems (MMS 2016), EAI Industry of Things and Future Technologies Conference - Mobility IoT 2016 and International Conference on Smart Electric Vehicles and Vehicular Ad-hoc NETworks (SEVNET).

Data Intensive Distributed Computing: Challenges and Solutions for Large-scale Information Management focuses on the challenges of distributed systems imposed by data intensive applications and on the different state-of-the-art solutions proposed to overcome such challenges. Providing hints on how to manage low-level data handling issues when performing data intensive distributed computing, this publication is ideal for scientists, researchers, engineers, and application developers, alike. With the knowledge of the correct data management techniques for their applications, readers will be able to focus on their primary goal, assured that their data management needs are handled reliably and efficiently.

This book explores the main elements of e-Democracy, the term normally used to describe the implementation of democratic government processes by electronic means. It provides insights into the main technological and human issues regarding governance, government, participation, inclusion, empowerment, procurement and, last but not least, ethical and privacy issues. Its main aim is to bridge the gap between technological solutions, their successful implementation, and the fruitful utilization of the main set of e-Services totally or partially delivered by governments or non-government organizations. Today, various parameters actively influence e-Services' success or failure: cultural aspects, organisational issues, bureaucracy and workflows, infrastructure and technology in general, user habits, literacy, capacity or merely interaction design. This includes having a significant population of citizens who are willing and able to adopt and use online services; as well as developing the managerial and technical capability to implement applications that meet citizens' needs. This book helps readers understand the mutual dependencies involved; further, a selection of success stories and failures, duly commented on, enables readers to identify the right approach to innovation in governmental e-Services. With its balanced humanistic and technological approach, the book mainly targets public authorities, decision-makers, stakeholders, solution developers, and graduate students.

Integration of ICT in Smart Organizations presents the applicable concepts and methodologies of information and communication technologies, such as agent-based technologies, HUB, knowledge management, GRID, and wireless communication. This book covers these concepts, while taking into account the current results and outlining the trends in these fields, also introducing theories for the smooth operation and effective control of smart organizations in an integrated method. The authors of ""Integration of ICT in Smart Organizations"" are researchers and professors with countless years of industrial experience, who share their results in their various fields of research.

In the time of constant technological and managerial advancement, firms of the 21st century are faced with an ongoing quest for implementing more effective strategies and methodologies to remain at the apex of the information resources management industry. Researchers and pioneers of academia incessantly delve into potential solutions to increase efficacy within technological and information resources management, as well as identify the emerging technologies and trends. ""Emerging Information Resources Management and Technologies"" supplies the industry leaders, practicing managers, researchers, experts, and educators with the most current findings on undertaking the operation of the latest information technology reforms, developments, and changes. ""Emerging Information Resources Management and Technologies"" presents the issues facing modern organizations and provides the most recent strategies in overcoming the obstacles of the ever-evolving information management and utilization industry.

Statistics for Business and Economics introduces statistics in the context of contemporary business. Emphasising statistical literacy in thinking, the text applies its concepts with real data and uses technology to develop a deeper conceptual understanding. Examples, activities, and case studies foster active learning in the classroom while emphasising intuitive concepts of probability and teaching students to make informed business decisions. The 14th Edition continues to highlight the importance of ethical behaviour in collecting, interpreting, and reporting on data, while also providing a wealth of new and updated exercises and case studies.

This proceedings volume presents recent theoretical and practical advances in operational research (OR). The papers focus on a number of key areas including combinatorial optimization, integer programming, heuristics, and mathematical programming. In addition, this volume highlights OR applications in different areas such as financial decision making, marketing, e-business, project management, scheduling, traffic and transportation. The chapters are based on papers presented at the 13th Balkan Conference on Operations Research (BALCOR). BALCOR is an established biennial conference. The selected papers promote international collaboration among researchers and practitioners, with a particular focus on the Balkan countries.

Probabilistic modeling represents a subject spanning many branches of mathematics, economics, and computer science to connect pure mathematics with applied sciences. Operational research also relies on this connection to enable the improvement of business functions and decision making. Analyzing Risk through Probabilistic Modeling in Operations Research is an authoritative reference publication discussing the various challenges in management and decision science. Featuring exhaustive coverage on a range of topics within operational research including, but not limited to, decision analysis, data mining, process modeling, probabilistic interpolation and extrapolation, and optimization methods, this book is an essential reference source for decision makers, academicians, researchers, advanced-level students, technology developers, and government officials interested in the implementation of probabilistic modeling in various business applications.