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If you do what you've always done, you'll get what you've always got, and if it's not good enough, you need to do something else. As project complexity increases, so too does the need to do new things. The existing Project Management tools - examples being Earned Value Management, PRINCE2, Lifecycle Management, PMBOK® - are incredibly useful; but they were designed for linear project development in a stable, understood environment. We term them 'First Order'. Second Order Project Management (PM) goes beyond, addressing the issues of a complex, unstable, uncertain environment with all its associated difficulties. Second Order PM has to address four major issues: the conspiracy of optimism, i...
As general, this book is a collection of the most recent, quality research papers regarding applications of Artificial Intelligence and Applied Mathematics for engineering problems. The papers included in the book were accepted and presented in the 4th International Conference on Artificial Intelligence and Applied Mathematics in Engineering (ICAIAME 2022), which was held in Baku, Azerbaijan (Azerbaijan Technical University) between May 20 and 22, 2022. Objective of the book content is to inform the international audience about the cutting-edge, effective developments and improvements in different engineering fields. As a collection of the ICAIAME 2022 event, the book gives consideration for the results by especially intelligent system formations and the associated applications. The target audience of the book is international researchers, degree students, practitioners from industry, and experts from different engineering disciplines.
This book features research presented at the 1st International Conference on Artificial Intelligence and Applied Mathematics in Engineering, held on 20–22 April 2019 at Antalya, Manavgat (Turkey). In today’s world, various engineering areas are essential components of technological innovations and effective real-world solutions for a better future. In this context, the book focuses on problems in engineering and discusses research using artificial intelligence and applied mathematics. Intended for scientists, experts, M.Sc. and Ph.D. students, postdocs and anyone interested in the subjects covered, the book can also be used as a reference resource for courses related to artificial intelligence and applied mathematics.
This book presents recent research on interactive collaborative learning. We are currently witnessing a significant transformation in the development of education and especially post-secondary education. To face these challenges, higher education has to find innovative ways to quickly respond to these new needs. On the one hand, there is a pressure by the new situation in regard to the COVID pandemic. On the other hand, the methods and organizational forms of teaching and learning at higher educational institutions have changed rapidly in recent months. Scientifically based statements as well as excellent experiences (best practice) are absolutely necessary. These were the aims connected wit...
What defines whether a project or programme is “good” or “bad”? When we’re striving for excellence in the execution of our projects and programmes, what do we mean? IPMA has given its extended definition in the PEB, the Project Excellence Baseline. This model is based on the well-known EFQM model, but is adapted to the field of project- and programme management and after over 10 years of use has been adapted to the model we’re using now. Foreword Executive summary Table of Contents List of figures List of tables Abbreviations and Acronyms Terms & Definitions 1. Introduction 2. Purpose and intended users 3. The organisational view of projects 3.1. Challenges for organisations in managing projects 3.2. An organisation in its context 3.3. From mission, vision and strategy to results 3.4. Projects, programmes and portfolios as means for results 4. Organisational competence in managing projects 4.1. Concept of organisational competence 4.2. Concept of organisational competence in managing projects 40 5. Groupings, competence elements and interactions 5.1. Grouping of competence elements 5.2. Overview of competence elements 5.3. Interactions of competence elements
Despite criticism for their serious shortcomings, maturity models are widely used within organizations. The appropriate applications of these models can lead to organizational and corporate success. Developing Organizational Maturity for Effective Project Management is a critical scholarly publication that explores the successes and failures of maturity models and how they can be applied competently to leadership within corporations. Featuring coverage on a wide array of topics such as project management maturity, agile maturity, and organizational performance, this publication is geared toward professionals, managers, and students seeking current research on the application of maturity models to corporate success.
This book contains works on mathematical and simulation modeling of processes in various domains: ecology and geographic information systems, IT, industry, and project management. The development of complex multicomponent systems requires an increase in accuracy, efficiency, and adequacy while reducing the cost of their creation. The studies presented in the book are useful to specialists who are involved in the development of real events models: analog, management and decision-making models, production models, and software products. Scientists can get acquainted with the latest research in various decisions proposed by leading scholars and identify promising directions for solving complex scientific and practical problems. The chapters of this book contain the contributions presented on the 15th International Scientific-Practical Conference, MODS, June 29–July 01, 2020, Chernihiv, Ukraine.
This book brings together the most recent, quality research papers accepted and presented in the 3rd International Conference on Artificial Intelligence and Applied Mathematics in Engineering (ICAIAME 2021) held in Antalya, Turkey between 1-3 October 2021. Objective of the content is to provide important and innovative research for developments-improvements within different engineering fields, which are highly interested in using artificial intelligence and applied mathematics. As a collection of the outputs from the ICAIAME 2021, the book is specifically considering research outcomes including advanced use of machine learning and careful problem designs on human-centred aspects. In this context, it aims to provide recent applications for real-world improvements making life easier and more sustainable for especially humans. The book targets the researchers, degree students, and practitioners from both academia and the industry.
The IPMA Research Evaluation Baseline® helps the various users in the field of Project, Portfolio and Program Management to guide the possibilities and results in research and is a systematic and transparent basis for the IPMA Research Awards, Best Paper Prizes and the IPMA Research conferences. The main purpose of the IPMA Research Evaluation Model (REM) is to guide diff erent user groups to evaluate the capability and achievements of their research conducted in the domain of PPP management. The IPMA REB® can be used by these organizations and/or individuals for developing their internal research evaluation system, such as research funding agencies, research performing organizations, rese...