Central to the study of knowledge management is the notion that retaining existing practices and experiences and applying them to new scenarios improves organizational and individual performance. While a strong foundation has been constructed by over two decades of research in this discipline, there are still significant opportunities for us to advance our understanding of knowledge creation, use, and transfer. Conceptual Models and Outcomes of Advancing Knowledge Management: New Technologies discusses theory and practice in the design of knowledge management systems, facilitation of knowledge sharing, and creation of practices that encourage organizational learning. With a focus on all aspects of knowledge management research, this book is a valuable resource for organizations aiming to improve performance as well as researchers seeking to develop conceptual models and frameworks for further inquiry.

This book studies the economic impact of container traffic at one of the most important ports in the Mediterranean: the Port of Algeciras Bay (PAB). The authors analyse the global framework of the containerisation business and the characteristics that currently condition this process. Following is an explanation of the physical characteristics of the PAB, and a description of the situation as regards the physical and logistics infrastructure in principal Mediterranean ports.

This book comprises select proceedings of the 43rd National Systems Conference on Innovative and Emerging Trends in Engineering Systems (NSC 2019) held at the Indian Institute of Technology, Roorkee, India. The contents cover latest research in the highly multidisciplinary field of systems engineering, and discusses its various aspects like systems design, dynamics, analysis, modeling and simulation. Some of the topics covered include computing systems, consciousness systems, electrical systems, energy systems, manufacturing systems, mechanical systems, literary systems, social systems, and quantum and nano systems. Given the scope of the contents, this book will be useful for researchers and professionals from diverse engineering and management background.

This book studies storage policies in warehousing systems and maintenance-support strategies for critical operational systems in warehouses, which are the most important issues affecting operational efficiency of warehousing systems. It expands on the theory of class-based storage by considering a finite number of items in store, and also introduces the maintenance-support strategy founded on performance-based contract theory. It is a valuable resource for researchers, practitioners and engineers in the fields of industrial engineering, operations management, operations research and management science.

Digitalization is the greatest change project that we have ever known, and data is circulating in unimaginable quantities and at unimaginable speed. In this book, the author urges managers and business leaders to embrace this constant state of change in cooperation with their team. He addresses how corporate culture and hierarchies have to change to adapt to new digital workspaces and value chains. These changes also include questions about the use and storage of data, customer relations and international teamwork. The book is especially geared towards managers in manufacturing industries and companies.

In the new knowledge-based economy, our most valued resource is information. Unlike hard assets, such as buildings and machines, information can be easily copied and distributed, often without the owner being aware of the situation. Organizations need to foster an awareness of the vital role people play (in addition to technology) in how information or intelligence is gathered and protected. Equally important is how intelligence is used to develop strategy. Ever-changing competitive, industry, and business environments require constant monitoring. In this compelling new book by a former diplomat, you will learn the secrets (step by step) to developing an intelligence strategy by effective information gathering and analyzing, and then to delivering credible intelligence to senior management. Along the way, you will learn how to better read people and organizations and get them to open up and share information with you- all the while behaving in an ethical, legal manner. Illustrated with real-world anecdotes and personal experiences, Corporate Intelligence Awareness brings this important topic to the attention of today's business leaders. Intelligence Awareness is more than just good intelligence gathering; understanding how intelligence is gathered and processed will keep you ahead of the game, protect your secrets, and secure your competitive edge

Based on the 2005 publication The Financial Appraisal Profile Model , this book discusses how the FAP model can present an integrated process for the appraisal of financial and strategic benefits and the assessment of risk in ICT (Information Communication Technology) project proposals.

This textbook teaches the basic concepts and methods of project management but also explains how to convert them to useful results in practice. Project management offers a promising working area for theoretical and practical applications, and developing software and decision support systems (DSS). This book specifically focuses on project planning and control, with an emphasis on mathematical modeling. Models and algorithms establish a good starting point for students to study the relevant literature and support pursuing academic work in related fields. The book provides an introduction to theoretical concepts, and it also provides detailed explanations, application examples, and case studies that deal with real-life problems. The chapter topics include questions that underlie critical thinking, interpretation, analytics, and making comparisons. Learning outcomes are defined and the content of the book is structured following these goals. Chapter 1 begins by introducing the basic concepts, methods, and processes of project management. This Chapter constitutes the base for defining and modeling project management problems. Chapter 2 explores the fundamentals of organizing and managing projects from an organization's perspective. Issues related to project team formation, the role of project managers, and organization types are discussed. Chapter 3 is devoted to project planning and network modeling of projects, covering fundamental concepts such as project scope, Work Breakdown Structure (WBS), Organizational Breakdown Structure (OBS), Cost Breakdown Structure (CBS), project network modeling, activity duration, and cost estimating, activity-based costing (ABC), data and knowledge management. Chapter 4 introduces deterministic scheduling models, which can be used in constructing the time schedules. Models employing time-based and finance-based objectives are introduced. The CPM is covered. The unconstrained version of maximizing Net Present Value (NPV) is also treated here together with the case of time-dependent cash flows. Chapter 5 focuses on the time/cost trade-off problem, explaining how to reduce the duration of some of the activities and therefore reduce the project duration at the expense of additional costs. This topic is addressed for both continuous and discrete cases. Chapter 6 discusses models and methods of scheduling under uncertain activity durations. PERT is introduced for minimizing the expected project duration and extended to the PERT-Costing method for minimizing the expected project cost. Simulation is presented as another approach for dealing with the uncertainty in activity durations and costs. To demonstrate the use of the PERT, a case study on constructing an earthquake-resistant residential house is presented. Classifications of resource and schedule types are given in Chapter 7, and exact and heuristic solution procedures for the single- and multi-mode resource constrained project scheduling problem (RCPSP) are presented. The objective of maximizing NPV under resource constraints is addressed, and the capital-constrained project scheduling model is introduced. In Chapter 8, resource leveling, and further resource management problems are introduced. Total adjustment cost and resource availability cost problems are introduced. Various exact models are investigated. A heuristic solution procedure for the resource leveling problem is presented in detail. Also, resource portfolio management policies and the resource portfolio management problem are discussed. A case study on resource leveling dealing with the annual audit project of a major corporation is presented. Project contract types and payment schedules constitute the topics of Chapter 9. Contracts are legal documents reflecting the results of some form of client-contractor negotiations and sometimes of a bidding process, which deserve closer attention. Identification and allocation of risk in contracts, project control issues, disputes, and resolution management are further topics covered in this Chapter. A bidding model is presented to investigate client-contractor negotiations and the bidding process from different aspects. Chapter 10 focuses on processes and methods for project monitoring and control. Earned Value Management is studied to measure the project performance throughout the life of a project and to estimate the expected project time and cost based on the current status of the project. How to incorporate inflation into the analysis is presented. In Chapter 11, qualitative and quantitative techniques including decision trees, simulation, and software applications are introduced. Risk phases are defined and building a risk register is addressed. An example risk breakdown structure is presented. The design of risk management processes is introduced, and risk response planning strategies are discussed. At the end of the Chapter, the quantitative risk analysis is demonstrated at the hand of a team discussion case study. Chapter 12 covers several models and approaches dealing with various stochastic aspects of the decision environment. Stochastic models, generation of robust schedules, use of reactive and fuzzy approaches are presented. Sensitivity and scenario analysis are introduced. Also, simulation analysis, which is widely used to analyze the impacts of uncertainty on project goals, is presented. Chapter 13 addresses repetitive projects that involve the production or construction of similar units in batches such as railway cars or residential houses. Particularly in the construction industry repetitive projects represent a large portion of the work accomplished in this sector of the economy. A case study on the 50 km section of a motorway project is used for demonstrating the handling of repetitive project management. How best to select one or more of a set of candidate projects to maintain a project portfolio is an important problem for project-based organizations with limited resources. The project selection problem is inherently a multi-objective problem and is treated as such in Chapter 14. Several models and solution techniques are introduced. A multi-objective, multi-period project selection and scheduling model is presented. A case study that addresses a project portfolio selection and scheduling problem for the construction of a set of dams in a region is presented. Finally, Chapter 15 discusses three promising research areas in project management in detail: (i) Sustainability and Project Management, (ii) Project Management in the Era of Big Data, and (iii) the Fourth Industrial Revolution and the New Age Project Management. We elaborate on the importance of sustainability in project management practices, discuss how developments in data analytics might impact project life cycle management, and speculate how the infinite possibilities of the Fourth Industrial Revolution and the new technologies will transform project management practices.

A host of internationally recognized experts have been brought together to examine one of the most important sectors in today's world economy, the information sector. The study utilizes the most recent quantitative and econometric research on the media and information sectors and their markets. Most of the work presented is from two international conferences and other invited conferences.

This book proposes a novel approach to classification, discusses its myriad advantages, and outlines how such an approach to classification can best be pursued. It encourages a collaborative effort toward the detailed development of such a classification. This book is motivated by the increased importance of interdisciplinary scholarship in the academy, and the widely perceived shortcomings of existing knowledge organization schemes in serving interdisciplinary scholarship. It is designed for scholars of classification research, knowledge organization, the digital environment, and interdisciplinarity itself. The approach recommended blends a general classification with domain-specific classification practices. The book reaches a set of very strong conclusions: -Existing classification systems serve interdisciplinary research and teaching poorly. -A novel approach to classification, grounded in the phenomena studied rather than disciplines, would serve interdisciplinary scholarship much better. It would also have advantages for disciplinary scholarship. The productivity of scholarship would thus be increased. -This novel approach is entirely feasible. Various concerns that might be raised can each be addressed. The broad outlines of what a new classification would look like are developed. -This new approach might serve as a complement to or a substitute for existing classification systems. -Domain analysis can and should be employed in the pursuit of a general classification. This will be particularly important with respect to interdisciplinary domains. -Though the impetus for this novel approach comes from interdisciplinarity, it is also better suited to the needs of the Semantic Web, and a digital environment more generally. Though the primary focus of the book is on classification systems, most chapters also address how the analysis could be extended to thesauri and ontologies. The possibility of a universal thesaurus is explored. The classification proposed has many of the advantages sought in ontologies for the Semantic Web. The book is therefore of interest to scholars working in these areas as well.

This book examines the factors involved in the social mediation of risks, the social construction of reality, and attempts made by professionals to re-design how social reality appears. It looks at single-issue politics affecting the political agenda, the role of the mass media, how corporations can and do respond, in very sophisticated ways, to threats to their political and ideological perspectives, and so advance their interests. The study also comments on how professional fields are created, demonstrating the work that goes into proposing, sustaining and promoting the expertise of crisis management.

Retail Security and Loss Prevention is an invaluable and comprehensive publication that provides cutting-edge asset protection processes. Based on twenty-five years of systematic research and field experience, it is designed to provide loss prevention managers, store managers, and retail and security students with a powerful problem-solving resource. It describes the most common retail crime and loss problems along with a step-by-step process for diagnosing and treating these problems. It includes several loss prevention checklists as well as sample forms.

In the industrial design and engineering field, product lifecycle, product development, design process, Design for X, etc., constitute only a small sample of terms related to the generation of quality products. Current best practices cover widely different knowledge domains in trying to exploit them to the best advantage, individually and in synergy. Moreover, standards become increasingly more helpful in interfacing these domains and they are enlarging their coverage by going beyond the single domain boundary to connect closely different aspects of the product lifecycle. The degree of complexity of each domain makes impossible the presence of multipurpose competencies and skills; there is almost always the need for interacting and integrating people and resources in some effective way. These are the best conditions for the birth of theories, methodologies, models, architectures, systems, procedures, algorithms, software packages, etc., in order to help in some way the synergic work of all the actors involved in the product lifecycle. This brief introduction contains all the main themes developed in this book, starting from the analysis of the design and engineering scenarios to arrive at the development and adoption of a framework for product design and process reconfiguration. In fact, the core consists of the description of the Design GuideLines Collaborative Framework (DGLs-CF), a methodological approach that generates a collaborative environment where designers, manufacturers and inspectors can find the right and effective meeting point to share their knowledge and skills in order to contribute to the optimum generation of quality products.

This book contains twelve selected papers presented at the International Workshop on Traffic Data Collection and its Standardization held on September 8-9th 2008 in Barcelona. Organized and chaired by Barcelo and Kuwahara, the workshop was intended to examine the purposes and quality of data and how it is collected and used in traffic analysis, with the overall intent of improving and standardizing the practice.

Traffic data is the cornerstone to everything from the most classical traffic control analysis to the most advanced real-time control and management implementing modern Intelligent Transportation Systems (ITS) applications. These applications are primarily based on the availability of traffic data supplied by a Data Collection System which, equipped with more or less sophisticated technologies, provides measurements on the fundamental traffic variables, ideally with the required level of temporal aggregation, and perhaps, when the technology allows it, additional measurements on other variables of interest, depending on the type of application in which they will be used. The applications are in turn supported by models, and in fact the primary use of the data is to provide the input to traffic models whose quality depends on the quality, consistency, robustness, completion and other characteristics of the data.

The main papers presented at the workshop dealt with

• which kind of data are available and under what conditions,

• what kind of data are needed for
• • online applications
  • model calibration/validation
  • safety analysis
• data source reliability
• how standardization can accelerate developments in the field, and how traffic data can be accessed more easily

The papers presented, from which the final twelve were chosen:

1. Calibrating the Fundamental Diagram in Congestion: Methods Based on Observations at Consecutive Loop-Detectors

2. Nicolas Chiabaut, Ludovic Leclercq, Tiphaine Bretin, Christine Buisson

   Universite de Lyon, INRETS / ENTPE, LICIT,

3. A cost-effective Method for the Detection of Queue Lengths at Traffic Lights

Thorsten Neumann

German Aerospace Center, Institute of Transportation Systems

3. Fusing Road Travel Time Data

F. Soriguera CENIT Center for Innovation in Transport, Technical

University of Catalonia (UPC)

D. Abeijon, CENIT Center for Innovation in Transport, Technical University of Catalonia (UPC),

F. Robuste, School of Civil Engineering, Technical University of Catalonia

1. Floating Car Data Based Analysis of Urban Travel Times for the Provision of Traffic Quality

2. Jan Fabian Ehmke, Stephan Meisel, Dirk Christian Mattfeld, Universitat Braunschweig, Carl-Friedrich Gauss Department, Business Information Systems, Decision Support Group

3. Extended Floating Car Data in cooperative traffic management

4. Thomas Scheider, Martin Bohm, AustriaTech,

5. Long-term Investigations of Quality and Reliability of the Video Image Detection System m3

6. Ralf Reulke, Beate Meffert, Bjorn Piltz

   Humboldt-Universitat zu Berlin,

   Sascha Bauer, Daniel Hein, Marc Hohloch, Karsten Kozempel

   German Aerospace Center, Institute for Transportation Systems,

7. Data Mining For Traffic Flow Analysis: Visualization Approach

8. Takahiko KUSAKABE, Takamasa IRYO, Yasuo ASAKURA

   Graduate School of Engineering, Kobe University

9. Microscopic data collection method for analyzing driving behavior at traffic signals

10. Francesco Viti, Serge P. Hoogendoorn, Henk J. van Zuylen

    Delft University of Technology

    Isabel R. Wilmink, Bart van Arem

    TNO, business unit Mobility & Logistics,

11. Data Collection for Measuring Performance of an Integrated Transportation System

12. Wei-Bin Zhang, Alex Skabardonis, Meng Li, Jingquan Li, Kun Zhou, Liping Zhang

    California PATH Program, University of California at Berkeley,

13. Data Requirements for Experimental and Operational Validations of Real-time Traffic Simulation Tools

14. Christine BUISSON, Aurelien DURET

    Universite de Lyon, ENTPE-INRETS, Laboratoire d Ingenierie Circulation Transports LICIT.

15. Parameterization of distribution using survey data: The influence of spatial factors on commuting trips in The Netherlands

16. Tom Thomas, Bas Tutert

    University of Twente, The Netherlands

17. Using floating car data for traffic state estimation in signalized urban networks

18. Henk van Zuylen, Yusen Chen, Fangfang Zheng

    Delft University of Technology

19. Exploring floating car data as a-priori information to dynamic origin destination matrix estimation

20. Yusen Chen, Henk van Zuylen, Runa Asmundsdottir

    Delft University of Technology

21. Data Collection, Use and Provision at the Transport Data Centre, New South Wales, Australia

22. Peter Hidas

    Manager, Transport Model Application Transport Data Centre, NSW Ministry of Transport

23. Hysteresis in the fundamental diagram: impact of measurement methods

24. Jorge A. Laval

    School of Civil and Environmental Engineering, Georgia Institute 4 of Technology

25. Notes on traffic data, traffic applications and traffic models

26. Jaume Barcelo, Dept. of Statistics and Operations Research,

    Technical University of Catalonia

27. Standardising Traffic Data Managed by a Road Authority

28. Stuart Ballingall, Manager Road Information Services, VicRoads

29. International Traffic Data Base

Mark Miska, Masao Kuwahara, University of Tokyo"

Examining the regulatory issues of fostering technological innovation and its applications, this book combines legal, economic and administrative science perspectives. It answers important questions such as what type of regulatory framework would best fit the needs of technology and innovation developments?

This book provides readers an understanding of the implementation of Enterprise Risk Management (ERM) for international construction operations. In an extended case study, it primarily focuses on Chinese construction firms (CCFs) based in Singapore. In this regard, the book explains the differences and similarities between Risk Management (RM), Project Risk Management (PRM) and ERM in the construction industry, and examines their linkages for international construction operations in a broader context. The explanation elaborates on how companies may adopt and implement RM, PRM and ERM as appropriate in their various operations, both in their home market as well as in overseas host markets. The book also reviews the whole spectrum of work relating to organizational behavior (OB) as one of the key underpinnings for companies to evaluate and implement ERM. It will benefit practitioners from the industry as well as academics interested in the implementation of ERM practices in international construction operations.

This book explores how to design and implement planning & control (P&C) systems that can help organizations to manage their growth and restructuring processes in a sustainability perspective. The book is not designed to enable the reader to become an experienced system dynamics modeler; rather, it aims to develop the reader's capabilities to design and implement performance management systems by using a system dynamics approach. More specifically, the book shows how to develop system dynamics models that can better support an understanding of: -What is organizational performance and how to frame and measure it; -How to identify and map the processes underlying performance; -How to design and implement a dynamic performance management system and link it to strategic planning; -How to tie strategic resource dynamics to processes and performance indicators; -How to link strategic resources, and performance indicators to responsibility and incentive systems. Using a dynamic performance management approach can improve an organization's capability to understand and manage the forces driving performance over time, as well as set goals and objectives that may properly and selectively gauge results and match them to the key responsibility areas in the planning process. The dynamic performance management approaches covered in the book are beneficial to performance management analysts, enabling them to frame their professional field within the broader context of the system. The book also includes numerous case studies and dynamic performance management models for providing examples of how dynamic performance management works in practice. In addition, a literature review is included to provide a guideline for further improvements to those readers who wish to develop relevant, specific, and detailed system dynamics modeling skills and to establish the foundation for teaching system dynamics applied to performance management in organizational and inter-organizational contexts. This is particularly relevant for graduate students who have taken system dynamics courses and need to apply their own skills to business and public management.

The content and role of working have changed in significant ways as a result of new technologies and broader social and organizational changes. Work serves a range of purposes for individuals including recognition, influence, self-expression and self-fulfilment." Learning with Colleagues" relates to personal development, enabling individuals to enter into a deeper relationship with colleagues to learn from them and with them. The book will be an important stimulus to creating a workplace learning environment.

Expanding upon Leadership Development for Interprofessional Education and Collaborative Practice and Leadership and Collaboration, the third installment to this original and innovative collection of books considers a variety of research models and theories. Emphasizing research and evaluation in leadership aspects, Leading Research and Evaluation in Interprofessional Education and Collaborative Practice showcases examples from around the globe in various multicultural contexts. Crucial for academics and researchers in this field, the book includes studies on traditionally under-represented countries and aims to prompt new ideas for future research and policy structures in Interprofessional education and practice.

Column Generation is an insightful overview of the state-of-the-art in integer programming column generation and its many applications. The volume begins with "A Primer in Column Generation" which outlines the theory and ideas necessary to solve large-scale practical problems, illustrated with a variety of examples. Other chapters follow this introduction on "Shortest Path Problems with Resource Constraints," "Vehicle Routing Problem with Time Window," "Branch-and-Price Heuristics," "Cutting Stock Problems," each dealing with methodological aspects of the field. Three chapters deal with transportation applications: "Large-scale Models in the Airline Industry," "Robust Inventory Ship Routing by Column Generation," and "Ship Scheduling with Recurring Visits and Visit Separation Requirements." Production is the focus of another three chapters: "Combining Column Generation and Lagrangian Relaxation," "Dantzig-Wolfe Decomposition for Job Shop Scheduling," and "Applying Column Generation to Machine Scheduling." The final chapter by FranAois Vanderbeck, "Implementing Mixed Integer Column Generation," reviews how to set-up the Dantzig-Wolfe reformulation, adapt standard MIP techniques to the column generation context (branching, preprocessing, primal heuristics), and deal with specific column generation issues (initialization, stabilization, column management strategies).

The book is the first systematic treatment of column generation methodologies. It will provide students, researchers, and experienced column generation users with a much-needed state-of-the-art survey of the field.

Provides an updated view of knowledge management strategies of knowledge-intensive business services (KIBS) by focusing on how those firms manage innovation in their value chains and at the territorial level. Offers an original analysis of key processes of KIBS, specializing in design, professional firms and information technology.

Computational intelligence (CI) lies at the interface between engineering and computer science; control engineering, where problems are solved using computer-assisted methods. Thus, it can be regarded as an indispensable basis for all artificial intelligence (AI) activities. This book collects surveys of most recent theoretical approaches focusing on fuzzy systems, neurocomputing, and nature inspired algorithms. It also presents surveys of up-to-date research and application with special focus on fuzzy systems as well as on applications in life sciences and neuronal computing.

The proceedings focus on selected aspects of the current and upcoming trends in transportation, logistics and decision-making. In detail the included scientific papers analyze the problem of Decision Making under Uncertainty, Stochastic Optimization, Transportation, Logistics and Intelligent Business. The variety of the papers delivers added value for both scholars and practitioners. This book is the documentation of the symposium "The Sixth International Forum on Decision Sciences", which took place in Jinan, Shandong province, China.