This book recapitulates the major developments in Decision Support Systems (DSS) over the last 30 years in order to evaluate the research areas of decision making and in which direction the field should proceed. As it attempts to find a consensus about the next steps for the future of DSS research, the book also enforces the trends and new technologies currently in use. The book examines topics such as decision analysis for enterprise systems and non-hierarchical networks, integrated solutions for decision support and knowledge management in distributed environments, decision support system evaluation and analysis through social networks, and e-learning and its application to real environments. It clearly presents the evidence to support their cases and attempts to promote an extensive and objective discussion. In addition, the book also reflects on approaches to dead-end ideas and failures in DSS to better understand the lessons learned. The contributions for this book have been written by thought leaders and influential researchers from the EURO Working Group of Decision Support Systems (EWG-DSS).

This book goes beyond the hype, delving into real world technologies and applications that are driving our future and examines the possible impact these changes will have on industries, economies and society at large. It details the actions governments and regulators must take in order to ensure these changes bring about positive benefits to the public without stifling innovation that may well be the future source of value creation. It examines how organisations in a world of digital ecosystems, where industry boundaries are blurring, must undertake radical digital transformation to survive and thrive in this new digital world. The reader is taken through a framework that critically examines (i) Digital Connectivity including 5G and IoT; (ii) Data Capture and Distribution which includes smart connected verticals; (iii) Data Integrity, Control and Tokenisation that includes cyber security, digital signatures, blockchain, smart contracts, digital assets and cryptocurrencies; (iv) Data Processing and Artificial Intelligence; and (v) Disruptive Applications which include platforms, virtual and augmented reality, drones, autonomous vehicles, digital twins and digital assistants.

Were you looking for the book with access to MyLab Math Global? This product is the book alone and does NOT come with access to MyLab Math Global. Students, if MyLab Math Global is a recommended/mandatory component of the course, please ask your instructor for the correct ISBN and course ID. MyLab Math Global should only be purchased when required by an instructor. Instructors, contact your Pearson representative for more information. There's no doubt that a manager's job is getting tougher. Do it better, do it faster, do it cheaper are the pressures every manager faces. And at the heart of every manager's job is decision-making: deciding what to do and how to do it. This well-respected text looks at how quantitative analysis techniques can be used effectively to support such decision making. As a manager, developing a good understanding of the quantitative analysis techniques at your disposal is crucial. Knowing how, and when, to use them and what their results really mean can be the difference between making a good or bad decision and, ultimately, between business success and failure. Appealing both to students on introductory-level courses and to MBA and postgraduate students, this internationally successful text provides an accessible introduction to a subject area that students often find difficult. Quantitative Analysis for Decision Makers (formerly known as Quantitative Methods for Decision Makers) helps students to understand the relevance of quantitative methods of analysis to management decision-making by relating techniques directly to real-life business decisions in public and private sector organisations and focuses on developing appropriate skills and understanding of how the techniques fit into the wider management process. Key features: The use of real data sets to show how analytical techniques are used in practice "QADM in Action" case studies illustrating how organisations benefit from the use of analytical techniques Articles from the Financial Times illustrating the use of such techniques in a variety of business settings Fully worked examples and exercises supported by Excel data sets Student Progress Check activities in each chapter with solutions A 300+ page Tutors Solutions Manual

What do vehicle manufacturers like Rosenbauer, logistics companies like DB Schenker, a compressor manufacturer such as Bauer, an elevator manufacturer such as ThyssenKrupp, and a hygiene goods manufacturer like Hagleitner all have in common? They all use the potential of digitization to offer smarter and faster services to customers and to actively shape the digital transformation of their business models. This book provides valuable insights with concise and established guidelines for the successful digital transformation of business models. Professionals in management, strategic planning, business development, as well as researchers and students from the fields of innovation/technology management, strategic management, and entrepreneurship would particularly benefit from this book.

This book provides an understanding of innovation models and why they are important in the business context, and considers sources of innovation and how to apply business frameworks using real-world examples of innovation-led businesses. After providing a solid background to the key concepts related to innovation models, the book looks at why innovation takes place and where the sources of innovation lie, from corporate research to crowd-sourced and government-funded initiatives. Innovation models across manufacturing, services and government are explored, as well as measuring innovation, and the impact of design thinking and lean enterprise principles on innovation and sustainability-driven imperatives. Offering a truly comprehensive and global approach, Business Innovation should be core or recommended reading for advanced undergraduate, postgraduate, MBA and Executive Education students studying Innovation Management, Strategic Management and Entrepreneurship.

In the statistical domain, certain topics have received considerable attention during the last decade or so, necessitated by the growth and evolution of data and theoretical challenges. This growth has invariably been accompanied by computational advancement, which has presented end users as well as researchers with the necessary opportunities to handle data and implement modelling solutions for statistical purposes. Showcasing the interplay among a variety of disciplines, this book offers pioneering theoretical and applied solutions to practice-oriented problems. As a carefully curated collection of prominent international thought leaders, it fosters collaboration between statisticians and biostatisticians and provides an array of thought processes and tools to its readers. The book thereby creates an understanding and appreciation of recent developments as well as an implementation of these contributions within the broader framework of both academia and industry. Computational and Methodological Statistics and Biostatistics is composed of three main themes: * Recent developments in theory and applications of statistical distributions;* Recent developments in supervised and unsupervised modelling;* Recent developments in biostatistics; and also features programming code and accompanying algorithms to enable readers to replicate and implement methodologies. Therefore, this monograph provides a concise point of reference for a variety of current trends and topics within the statistical domain. With interdisciplinary appeal, it will be useful to researchers, graduate students, and practitioners in statistics, biostatistics, clinical methodology, geology, data science, and actuarial science, amongst others.

Research and Practical Issues of Enterprise Information Systems II, Volume 2 presents work from the IFIP TC 8 WG 8.9 International Conference on the Research and Practical Issues of Enterprise Information Systems (CONFENIS 2007).

Enterprise information systems (EIS) have become increasingly popular over the last 15 years. EIS integrate and support business processes across functional boundaries in a supply chain environment. In recent years, more and more enterprises world-wide have adopted EIS such as Enterprise Resource Planning (ERP) for running their businesses. Previously, information systems such as CAD, CAM, MRPII and CRM were widely used for partial functional integration within a business organization. With global operation, global supply chain, and fierce competition in place, there is a need for suitable EIS such as ERP, E-Business or E-Commerce systems to integrate extended enterprises in a supply chain environment with the objective of achieving efficiency, competency, and competitiveness. As an example, the global economy has forced business enterprises such as Dell and Microsoft to adopt ERP in order to take the advantage of strategic alliances within a global supply chain environment. Today, not only the large companies, but also the medium companies are quickly learning that a highly integrated EIS is more and more a required element of doing business. Businesses all over the world are investing billions of dollars in acquiring and implementing EIS in particular ERP systems by SAP and Oracle. As a result, there is a growing demand for researching EIS to provide insights into challenges, issues, and solutions related to the design, implementation and management ofEIS.

Information systems are the backbone of many of today's computerized applications. Distributed databases and the infrastructure needed to support them have been well studied. However, this book is the first to address distributed database interoperability by examining the successes and failures, various approaches, infrastructures, and trends of the field. A gap exists in the way that these systems have been investigated by real practitioners. This gap is more pronounced than usual, partly because of the way businesses operate, the systems they have, and the difficulties created by systems' autonomy and heterogeneity. Telecommunications firms, for example, must deal with an increased demand for automation while at the same time continuing to function at their current level. While academics are focusing on investigating differences between distributed databases, federated databases, heterogeneous databases, and, more generally, among loosely connected and tightly coupled systems, those who have to deal with real problems right away know that the only relevant research is the one that will ensure that their system works to produce reasonably correct results. Interconnecting Heterogeneous Information Systems covers the underlying principles and infrastructures needed to realize truly global information systems. The book discusses technologies related to middleware, the Web, workflows, transactions, and data warehousing. It also overviews architectures with a discussion of critical issues. The book gives an overview of systems that can be viewed as learning platforms. While these systems do not translate to successful commercial realities, they push the envelope in terms of research. Successful commercial systems have benefited from the experiments conducted in these prototypes. The book includes two case studies based on the authors' own work. Interconnecting Heterogeneous Information Systems is suitable as a textbook for a graduate-level course on Interconnecting Heterogeneous Information Systems, as well as a secondary text for a graduate-level course on database or information systems, and as a reference for researchers and practitioners in industry.

This book helps marketing decision makers in allocating their budget to diverse communication channels and different business units in an ROI-optimal way, and to adapt it in an agile manner. The optimal allocation of resources in marketing is not very complex in theory, but in practice a variety of questions arise, for example: How do you find the optimal mix, even across brands and product lines, and how do you adjust it dynamically? What is the right balance between image and performance marketing? How do you tackle strategic data management and other organizational challenges? The authors guide the reader through the entire process from data collection to marketing mix modeling and campaign tracking to tool selection. The book strikes the right balance between theoretical sophistication and necessary pragmatism, with numerous concrete recommendations for decision makers.

This book provides relevant theoretical frameworks and the latest empirical research findings of Operations Research/Management Science applied to Internet of Things. This book identifies and describes ways in which OR and MS have been applied and influenced the development of IoT. Examples are from smart industry; city; transportation; home and smart devices. It discusses future applications, trends, and potential benefits of this new discipline. It is written for professionals who want to improve their understanding of the strategic role of IoT at various levels of the organization, that is, IoT at the global economy level, at networks and organizations level, at teams and work groups, at information systems and, finally, IoT at the level of individuals, as players in the networked environments.

The information systems (IS) field represents a multidisciplinary area that links the rapidly changing technology of information (or communications and information technology, ICT) to the business and social environment. Despite the potential that the IS field has to develop its own native theories to address current issues involving ICT it has consistently borrowed theories from its "reference disciplines," often uncritically, to legitimize its research. This volume is the first of a series intended to advance IS research beyond this form of borrowed legitimization and derivative research towards fresh and original research that naturally comes from its own theories. It is inconceivable for a field so relevant to the era of the hyper-connected society, disruptive technologies, big data, social media, "fake news" and the weaponization of information to not be brimming with its own theories. The first step in reaching the goal of developing native IS theories is to reach an agreement on the need for theory (its rationale) and its role as the most distinctive product of human intellectual activity. This volume addresses what theories are, why bother with theories and the process of theorizing itself because the process of developing theories cannot be divorced from the product of that process. It will lay out a research agenda for decades to come and will be invaluable reading for any academic in the IS field and related disciplines concerned with information, systems, technology and their management.

Essentials of Time Series for Financial Applications serves as an agile reference for upper level students and practitioners who desire a formal, easy-to-follow introduction to the most important time series methods applied in financial applications (pricing, asset management, quant strategies, and risk management). Real-life data and examples developed with EViews illustrate the links between the formal apparatus and the applications. The examples either directly exploit the tools that EViews makes available or use programs that by employing EViews implement specific topics or techniques. The book balances a formal framework with as few proofs as possible against many examples that support its central ideas. Boxes are used throughout to remind readers of technical aspects and definitions and to present examples in a compact fashion, with full details (workout files) available in an on-line appendix. The more advanced chapters provide discussion sections that refer to more advanced textbooks or detailed proofs.

This book presents contemporary empirical methods in software engineering related to the plurality of research methodologies, human factors, data collection and processing, aggregation and synthesis of evidence, and impact of software engineering research. The individual chapters discuss methods that impact the current evolution of empirical software engineering and form the backbone of future research. Following an introductory chapter that outlines the background of and developments in empirical software engineering over the last 50 years and provides an overview of the subsequent contributions, the remainder of the book is divided into four parts: Study Strategies (including e.g. guidelines for surveys or design science); Data Collection, Production, and Analysis (highlighting approaches from e.g. data science, biometric measurement, and simulation-based studies); Knowledge Acquisition and Aggregation (highlighting literature research, threats to validity, and evidence aggregation); and Knowledge Transfer (discussing open science and knowledge transfer with industry). Empirical methods like experimentation have become a powerful means of advancing the field of software engineering by providing scientific evidence on software development, operation, and maintenance, but also by supporting practitioners in their decision-making and learning processes. Thus the book is equally suitable for academics aiming to expand the field and for industrial researchers and practitioners looking for novel ways to check the validity of their assumptions and experiences. Chapter 17 is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.

This book readdresses fundamental issues in knowledge management, leading to a new area of study: knowledge processes. McInerney 's and Day 's superb authors from various disciplines offer new and exciting views on knowledge acquisition, generation, sharing and management in a post-industrial environment. Their contributions discuss problems of knowledge acquisition, handling, and learning from a variety of perspectives.

Within the digital era, agile working is imperative for organisations and workers to meet the needs of customers, service-users and ever-changing markets. This needs to be achieved whilst meeting goals of effectiveness and well-being. In this book, state-of-the-art theory is used to understand how to optimise agile working by addressing key issues around personality, team-working and management. The authors define the concept of agile working and unpack often-misunderstood terms associated with this, such as remote working and telework. The book explores the well-being consequences of agile work including sedentary behaviours, digital distraction, and digital resistance before offering insights for the future. Examining current practice in the context of established and emerging theory, the book paves the way towards further advances in the field and supports organisations seeking to make agile working work for them. Agile Working and Well-being in the Digital Age provides a valuable new resource for practitioners and scholars in the fields of occupational and organizational psychology, human resource management, organisational development, mental health and well-being.

This book examines the changing business and economic environment for postal services in Lithuania and the upcoming challenges for this industry. Postal services continue to play a central part in the development of national economies. However, the economic and social role of postal services has changed rapidly and fundamentally over the last two decades. In most industrialized countries, paper-based communications are in serious decline, while the demand for parcel delivery services is rising steadily with the continuing development of e-commerce, just-in-time production techniques, and global supply chains. For the postal sector as a whole, the centre of gravity has shifted dramatically from letters and documents to parcels. The authors explain how the organizational paradigm has inexorably shifted from that of a national, government-owned postal administration providing the basic delivery services required by society, to a system of interdependent local and regional undertakings that both compete and cooperate with one another. The book argues that there are no indications that the postal sector has stopped changing, and that it seems most probable that the European Union's postal sector will look quite different in 2035 than it does today. In closing, the book explains how the shareholders of postal services companies have recently confirmed that the time has come to rethink the strategy of creating and maintaining competitiveness in the postal services industry.

This book closes the gap between information technologies and management decision making. It treats currently relevant topics in information technology--knowledge-based expert systems, graphic-user interface, fuzzy logic, neural networks, data storage, client server, and integration of heterogeneous databases--by using examples and, more importantly, by relating these methods to the needs of the decision maker by taking into account the individual's decision style. The authors provide a solid basis for determining how decision makers use and access information that becomes part of the design of information systems. Integrating the decision maker into the design results in a more intelligent information system because the focus is on the outcome rather than on the methodology or computer power used.

This book investigates the adoption of Information and Communication Technologies (ICTs) in Caribbean travel firms, particularly for sales and marketing purposes. By examining the decision-making process in tourism companies deciding whether to become more dependent on digital capabilities and artificial intelligence, this text seeks to understand the role of strategy and resources in technology adoption. Further, the author assesses the role of factors both external (such as culture) and internal (such as leadership) in this strategic process. Economies in the Caribbean are reliant on tourism to bring prosperity to the region, and with the onset of the COVID-19 pandemic, the industry is being forced to transform the way it operates. With implications for those studying organizational behavior as well as strategic and tourism management, this study analyzes rapid change in this pivotal industry.

Artificial intelligence - and social responsibility. Two topics that are at the top of the business agenda. This book discusses in theory and practice how both topics influence each other. In addition to impulses from the current often controversial scientific discussion, it presents case studies from companies dealing with the specific challenges of artificial intelligence. Particular emphasis is placed on the opportunities that artificial intelligence (AI) offers for companies from different industries. The book shows how dealing with the tension between AI and challenges caused by new corporate social responsibility creates strategic opportunities and also innovation opportunities. It highlights the active involvement of stakeholders in the design process, which is meant to build trust among customers and the public and thus contributes to the innovation and acceptance of artificial intelligence. The book is aimed at researchers and practitioners in the fields of corporate social responsibility as well as artificial intelligence and digitalization. The chapter "Exploring AI with purpose" is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.

This book shows how digital transformation has the power to revolutionize the way procurement operates, and discusses how especially buyer decisions are empowered through artificial intelligence. Depending on a company's strategy all desired outcomes are possible, including doubling savings, innovation, sustainability, quality, speed, and halve the risk. Jumpstart to Digital Procurement is a hands-on guide on how companies can grasp the opportunities offered by digital transformation.

This book describes how manufacturing enterprises, by reinforcing their existing monitoring and control of manufacturing processes, can successfully face the ever-increasing pressure from internal and external environments to maintain their competitive advantage. Numerous performance measurement systems have been elaborated to satisfy these requirements, stressing the importance of financial and operational metrics. It also highlights the fact that research on generating and linking financial and operational metrics, especially in real-time, has not garnered sufficient attention to date. The book follows an approach that integrates enterprises across different levels and departments. By computing and linking the financial and operational metrics in real-time, the book demonstrates how to provide a comprehensive view of an entire enterprise.

This book highlights research and survey articles dedicated to big data techniques for cyber-physical system (CPS), which addresses the close interactions and feedback controls between cyber components and physical components. The book first discusses some fundamental big data problems and solutions in large scale distributed CPSs. The book then addresses the design and control challenges in multiple CPS domains such as vehicular system, smart city, smart building, and digital microfluidic biochips. This book also presents the recent advances and trends in the maritime simulation system and the flood defence system.

Program debugging has always been a difficult and time-consuming task in the context of software development, where spectrum-based fault localization (SBFL) is one of the most widely studied families of techniques. While it's not particularly difficult to learn about the process and empirical performance of a particular SBFL technique from the available literature, researchers and practitioners aren't always familiar with the underlying theories. This book provides the first comprehensive guide to fundamental theories in SBFL, while also addressing some emerging challenges in this area. The theoretical framework introduced here reveals the intrinsic relations between various risk evaluation formulas, making it possible to construct a formula performance hierarchy. Further extensions of the framework provide a sufficient and necessary condition for a general maximal formula, as well as performance comparisons for hybrid SBFL methods. With regard to emerging challenges in SBFL, the book mainly covers the frequently encountered oracle problem in SBFL and introduces a metamorphic slice-based solution. In addition, it discusses the challenge of multiple-fault localization and presents cutting-edge approaches to overcoming it. SBFL is a widely studied research area with a massive amount of publications. Thus, it is essential that the software engineering community, especially those involved in program debugging, software maintenance and software quality assurance (including both newcomers and researchers who want to gain deeper insights) understand the most fundamental theories - which could also be very helpful to ensuring the healthy development of the field.

This book contains selected papers presented at the seventh Conference on Working Group 3.7 of the Internation Federation for Information Processing. The focus of Working Froup 3.7 is on ITEM: Information Technology in Educational Management. The event toook place in Hamamatsu, Japan, and enabled the exchange of findings and ideas between researchers in educational management and information technology, policy-makers in the field of education, developers of ITEM systems, and vendors. The overall goal of the conference was to demonstrate and explore directions for developing and improving all types of educational institutions through ITEM.

Contributions to this conference hailed from all over the world. The papers in this volume investigate how ITEM can support and improve educational practice at the level of instruction as well as at the institutional level, an analysis of the history of ITEM as a field of study and practice, results of researcdh on how training can promote the implementation of ITEM systems, and theoretical analyses of the conditions under which ITEM will have the strongest impact. Moreover, all sectors of educational systems (from schools to universities) are represented by the various chapters of this book.

The term "sustainability" has entered the lexicon of many academic disciplines and fields of professional practice, but to date does not appear to have been seriously consid ered within the systems community unless, perhaps, under other guises. Within the wider community there is no consensus around what sustainability means with some authors identifying 70 to 100 definitions of the term. Some see sustainability as the precise and quantifiable outcomes of biological systems whilst others see it in terms of processes rele vant to personal and organizational change with the potential to effect changes in our rela tionships with out environments. Internationally it has been increasingly used in relation to the term "sustainable development"--a term popularised by the Brundland Commis of definitions sion's report in 1987 entitled "Our Common Future. " Despite this diversity and polarised perception on its utility, unlike many other popular terms, it has not had its time and subsided quietly from our language. It is therefore timely for the systems com munity to explore the relationship between systems and sustainability in a range of con texts. Participants in this, the 5th International Conference of the United Kingdom Systems Society (UKSS), have been invited to reflect critically on the contribution of sys tems thinking and action to sustainability-to the sustainability of personal relationships, the organizations in which live and work, and our "natural" environment."