Academic literature on the topic 'Quantitative Project Management'

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Journal articles on the topic "Quantitative Project Management"

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Rao, Uma Sudhakar, Srikanth Kestur, and Chinmay Pradhan. "Stochastic Optimization Modeling and Quantitative Project Management." IEEE Software 25, no. 3 (May 2008): 29–36. http://dx.doi.org/10.1109/ms.2008.77.

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Lewis, Bob. "Book Review: Quantitative Methods in Project Management." Project Management Journal 35, no. 4 (December 2004): 68. http://dx.doi.org/10.1177/875697280403500410.

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Titarenko, Boris, Sergey Titov, and Roman Titarenko. "Risk Management in Innovation Projects." Applied Mechanics and Materials 638-640 (September 2014): 2338–41. http://dx.doi.org/10.4028/www.scientific.net/amm.638-640.2338.

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The report deals with projects risk management approaches and methods. The methods are based upon the main provisions of the following standards: International Competence Baseline, published by International Project Management Association – IPMA and National Competence Baseline published by Russian Project Management Association – SOVNET. It is known two types of risk management methods: qualitative and quantitative. Qualitative methods deal with procedures that reduce the risk of risk situations and the quantitative methods allow to produce quantitative estimates of the proposed activities using SOVNET system methodology.
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Watema, Joash, and John Tulirinya. "Project Implementation, Risk Management Practices and Project Success." East African Journal of Business and Economics 3, no. 1 (March 12, 2021): 36–50. http://dx.doi.org/10.37284/eajbe.3.1.296.

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The study aimed to establish the relationship between project implementation, risk management practices and project success for projects implemented by NGOs in Iganga Municipality. The study used a quantitative, correlational and cross-sectional survey design. The sample consisted of 117 respondents who included project managers, their assistants, and accountants of 45 projects implemented by NGOs in Iganga Municipality. Data was collected using a self-administered questionnaire and analysed using statistical packages for social scientists (SPSS). This study discusses project implementation and risk management practices as the issues involved in project success and or failure. The study concluded that project implementation and risk management practices were significant in improving project success. This study recommended that NGOs in Iganga Municipality need to put much emphasis on project implementation and risk management practices as a way of improving project success as their correlation is significant.
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Klein, Gary, and Ralf Müller. "Quantitative Research Submissions to Project Management Journal®." Project Management Journal 50, no. 3 (April 3, 2019): 263–65. http://dx.doi.org/10.1177/8756972819840141.

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Ibrahim, Michael W., Awad Hanna, and Dave Kievet. "Quantitative Comparison of Project Performance between Project Delivery Systems." Journal of Management in Engineering 36, no. 6 (November 2020): 04020082. http://dx.doi.org/10.1061/(asce)me.1943-5479.0000837.

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Fiala, Petr. "New trends in project portfolio management." Trendy v podnikání 10, no. 3 (2021): 4–11. http://dx.doi.org/10.24132/jbt.2020.10.3.4_11.

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The use of project portfolio management is increasingly becoming a tool for promoting the strategy of the organization. Using sophisticated quantitative tools becomes a significant competitive advantage for project portfolio management. Project portfolio management is a dynamic multi-criteria decision-making problem under risk. The paper presents new approaches for analyzing the problem. A dynamic version of the Analytic Network Process (ANP) captures the network, multicriteria and dynamic structure of the problem. Multicriteria decision trees analyze risk of project portfolios. Possible projects are characterized by sets of inputs and outputs, where inputs are resources for project realization and outputs measure multiple criteria of goals of the organization. The Data Envelopment Analysis (DEA) is an appropriate approach to select efficient project portfolios.
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Poveda-Bautista, Rocio, Jose-Antonio Diego-Mas, and Diego Leon-Medina. "Measuring the Project Management Complexity: The Case of Information Technology Projects." Complexity 2018 (2018): 1–19. http://dx.doi.org/10.1155/2018/6058480.

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Complex projects require specific project management (PM) competences development. However, while no complex projects have standards that are recognized to guide their management, complex projects do not have guides to deal with their complexity. To lead complex projects to success, this complexity must be measured quantitatively and, in our opinion, project management complexity assessment should be based on existing PM standards. In this work, the main project complexity assessment approaches based on PM standards are analyzed, observing that International Project Management Association (IPMA) approach is the closest to a tool that can be used as a complexity quantitative measurement system. On the other hand, several authors have shown that the inherent complexity of specific kind of projects must be measured in a particular way. The main objective of this research is to propose a project management complexity assessment tool for IT projects, providing a Complexity Index that measures the impact that complexity factors inherent to IT projects have under a specific complexity scenario. The tool combines the use of complexity factors defined by IPMA approach and the use of complexity factors found in the literature to manage inherent complexity of IT projects. All these factors were validated by expert survey and the tool was applied to a study case.
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A. Makarova, Ekaterina, and Anna Sokolova. "Foresight evaluation: lessons from project management." Foresight 16, no. 1 (March 4, 2014): 75–91. http://dx.doi.org/10.1108/fs-03-2012-0017.

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Purpose – The aim of this paper is to identify ways for improvement of the foresight evaluation framework on the basis of analysis and systematisation of accumulated experience in the field of project management. Design/methodology/approach – The paper is based on a detailed literature review devoted to an evaluation of foresight and traditional projects. The approaches to project evaluation in the field of project management were investigated, and the main steps of traditional project evaluation process were determined. The most commonly applied steps of foresight evaluation were identified by the analysis of recent foresight evaluation projects. The comparison of evaluation frameworks for foresight projects and traditional projects allows to provide recommendations for foresight evaluation framework improvement. Findings – The paper identifies several lessons for foresight evaluation from project management. The elements which can enrich foresight evaluation framework are the following: the development of an evaluation model; the extensive use of quantitative methods; the elaboration of evaluation scales; the inclusion of economic indicators into evaluation; and the provision of more openness and transparency for evaluation results. Originality/value – Given the importance of foresight evaluation procedures and the lack of a commonly applied methodological approach, the value of this paper consists in identifying a foresight evaluation framework and enriching it with elements of project management.
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Mahmoud al-Mukahal, Amer Abdullatef. "Risk Management of Construction Projects." Engineering Management Research 9, no. 1 (May 15, 2020): 15. http://dx.doi.org/10.5539/emr.v9n1p15.

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This study aims to Analyzing the nature of Construction Projects, Analyzing the Nature of Construction Projects Risk, and Analyzing The mechanism of Risk Management. This Study adopted The Quantitative Method. The Summary Concluded From The Study Lies in the Theoretical Study of construction Project`s Risk. The Construction Project Contains Many Risk Which Related to Different Factors: Legal, Organizational, Technical, Zoning, Financial, Social and Political Factors. The Process of Management of Construction Projects includes: Planning of Risk Management, Risk Identification By (Checklist Analysis, Questionnaire, Personal Interview, Brainstorming Technique, Delphi Technique), Risk Analysis By Qualitative Analysis By (Probability and Impact Assessment, Cause and Effect Diagram, Probability and Impact Matrix) and Quantitative Analysis By (Probability Distributions, interviews , Sensitivity Analysis, Fault tree, Events tree, Munte Carlo Simulation), Planning the Response to Risk By (Strategies for Response to Negative Risk , and Strategies to Positive Risks), and Risk Control and Cheek. Depending on The Conclusions, The Study Recommends the Following: Process of Assessing The Efficiency of Construction Companies. Use Qualitative Analysis and Quantitative Analysis in The Process of diagnosis, and Categorization of Risk in the Process of Risk Management. Studying Types of Contracts of Construction Projects.
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Dissertations / Theses on the topic "Quantitative Project Management"

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Bozkurt, Candas. "Pommes: A Tool For Quantitative Project Management." Master's thesis, METU, 2005. http://etd.lib.metu.edu.tr/upload/12606030/index.pdf.

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Metric collection process and Project Management activities cannot be performed in an integrated fashion on most of the software projects. In software engineering world, there are Project Management Tools that has embedded project metrics and there are various Metric Collection Tools that collect specific metrics for satisfying requirements of different software life cycle phase activities (Configuration Management, Requirements Management, Application Development tools etc.). These tools however are not communicating with each other with any interface or any common database. This thesis focuses on the development of a tool to define, export, collect and use metrics for software project planning, tracking and oversight processes. To satisfy these objectives, POMMES with functionalities of Generic Metric Definition, Collection, Analysis, and Import, Update and Export of Project Metrics from 3rd Party Project Management Tools is developed and implemented in a software organization during this thesis work.
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Crespo, Luis Gaspar. "Project Manager Strategies to Improve the Delivery of Construction Projects." ScholarWorks, 2018. https://scholarworks.waldenu.edu/dissertations/6194.

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The return on investment of construction organizations is at risk because construction managers fail to execute projects efficiently. The purpose of this single case study was to explore strategies that construction managers used to deliver projects efficiently. The selected population was 10 construction managers from a single construction organization operating in Panama. The conceptual framework for this study was the McKinsey 7S. Data were collected using semistructured interviews, observations, and a review of public documents. Collected data were compiled, disassembled, reassembled, interpreted, and then conclusions were reached, as noted in Yin's 5-step analysis. Themes that emerged from the study included project experience, communication, collaboration, and resource management. Construction managers noted that the review of needed project experience in alignment with the complexity of the project is a strategy to deliver projects efficiently. Leaders of construction organizations can increase strategic performance by implementing collaboration and leadership programs in accordance with the business objectives. By improving labor productivity, construction companies can complete construction projects faster and with lower construction costs. The findings of this study could contribute to positive social change by providing communication and collaboration strategies between construction organizations and local communities to source local staff and resources. Construction managers might benefit from the findings of this study by increasing their project management skills, an effect that could result in long-term employability.
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Andrén, Sebastian, and Mohamad Sahyouni. "Exploring the Impact of the Project Management Office on Project Performance, A Quantitative Study." Thesis, Blekinge Tekniska Högskola, Institutionen för industriell ekonomi, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-18487.

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Purpose - The purpose of this study is to explore the relationship between the establishment of a Project Management Office and project performance. Particularly, whether or not the establishment of a Project Management Office leads to enhanced project performance in project based organizations.   Framework - The framework developed for the purpose of this study is made out of the different categories of Project Management Office services and functions on the one side and the different dimensions of project performance on the other. The model created tests the individual relationships between the constructs on each side.   Methodology- The study employs a quantitative research design. Project Management Offices in organizations from across the globe and operating in a range of industries and industry segments are investigated. The data for the study is collected using an online questionnaire.   Findings - The findings of this study lead to the belief that the establishment of a Project Management Office and the implementation of a certain set of its services and function will indeed lead to enhanced project performance   Managerial Implications - Managers are made aware of the impact of the Project Management Office on project performance. Moreover, they are given guidelines as to what services and functions to adopt if there were only interested in seeing results on the project level. Limitations - The approach to exploring the subject in hand, the choice of participating organizations, the size of the sample tested, and the framework chosen for the evaluation of project performance are all seen as limitations for this study.
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Cullen, Christopher D. "The effectiveness of software project management practices a quantitative measurement." Thesis, Monterey, California. Naval Postgraduate School, 2011. http://hdl.handle.net/10945/5732.

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Approved for public release; distribution is unlimited.
A tool that measures the effectiveness of software project management can be used to identify strengths and weaknesses, and guide improvement to practices in order to increase the chances of project success. The Software Project Management Effectiveness (PME) Metric is one such tool that has shown promise in this area of software engineering. To discover how promising the metric is, nine software practitioners participated in this research and assisted with measuring projects they recently worked on. A strong correlation between the PME metric and project success was identified. The software practitioners also provided feedback on the usefulness and applicability of the PME metric. Seventy-five percent of the software practitioners stated that they would use the metric on the next project they worked on. This research has found that the PME metric should be considered for use by project managers who continuously want to improve and deliver successful software projects.
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Cabral, John Stephen. "Project Risk Management Strategies for IT Project Managers." ScholarWorks, 2017. https://scholarworks.waldenu.edu/dissertations/3663.

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Utilizing information technology (IT) to enable new organizational capabilities to achieve near-term objectives and long-term sustainability is a top priority for many business leaders seeking to maintain or increase market share. However, organizational leaders face significant challenges to their strategy execution because the percentage of challenged IT projects has remained relatively static for decades. The purpose of this qualitative case study was to explore risk management strategies used by 7 purposely selected IT project managers (PMs) from a pharmaceutical company located in the northeastern United States who have effectively managed IT project performance by using risk management strategies, leading to the successful delivery of an IT project. The conceptual framework that guided the research was actor-network theory. The data collection included semistructured interviews and the collection of internal organizational risk registers and other project risk management documentation. An inductive content analysis followed the procedures outlined in Malterud's systematic text condensation strategy, yielding the following major strategies to increase IT project performance: performing knowledge management, promoting a positive risk culture, utilizing an existing risk management framework, and performing risk-related communication. The implications for positive social change include the potential to help IT PMs deliver the expected business value on time and within budget, which, in turn, may enable pharmaceutical companies to improve the quality of life of afflicted individuals and populations in need of safe, economical, and innovative therapies.
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Tresselt, Christian H. "The management of complexity in project management : a qualitative and quantitative case study of certified project managers in Germany." Thesis, University of Gloucestershire, 2015. http://eprints.glos.ac.uk/2924/.

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With the increased globalization and expansion of the markets worldwide, companies have to struggle with increased competition. Therefore, organisations have begun to offer advantages such as a personalisation of products to potential customers. Market conditions and legal policies can make it challenging to predict whether those ad-vantages can be realized. Project managers are often in the position of having to fulfil these requirements; in continuously changing influencing factors that make tasks diffi-cult to manage. These circumstances create complexity. Frequently, managers are una-ware that complexity has created problems in a specific project. Often, the traditional standards of project management no longer provide a sufficient support to managers of complex projects. This research investigates how current standards of project management address com-plexity, and whether a supplement is necessary. Complexity strengtheners are investi-gated. One standard Project Management Institute (PMI) is selected as an example to analyze the influence of strengtheners on PM-processes. A funnel model is developed based on these research findings. This is aimed to help managers in their daily practice and support them in categorizing the complexity of their projects. Based on this model, managers should be able to recognize the actual strengtheners of complexity and which processes of their project are affected. Finally, a possible adaption of the standard is re-searched. A proposition for a new comprehensive guide is designed to support manag-ers carrying out complex projects. The key managerial implication of this research is the development of a five-step model for handling complexity in projects: forming, storming, norming, performing, and ad-journing. Furthermore, the intent of this thesis is to make a valid contribution to the management literature. For handling complexity the new funnel model should close the gap between the recognition of complexity in a project and underlying causes. The new five-step model thus provides project managers helpful guidelines for handling complex projects. This research applies a mixed method, consisting of a survey (quantitative method) and focus interviews (qualitative method) with experts of project management (PMI) in Germany. There are approximately 4.900 PMI certified project managers in Germany; more than 170 participated in the survey (3.6%). This is considered sufficient to provide reliable results for this research. Further, three focus interviews deepen the knowledge and validate the results of the survey: Complexity is an actual problem in project man-agement. Existing standards are sufficient for project management, but complexity can-not be standardized. This thesis proposes to help project managers to resolve project complexity by providing guidelines for navigating through complex projects.
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Lin, Chun-ming, and 連振明. "Managerial use of quantitative techniques in building project management: contractors perspectives." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2000. http://hub.hku.hk/bib/B31251602.

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Lin, Chun-ming. "Managerial use of quantitative techniques in building project management : contractors perspectives /." Hong Kong : University of Hong Kong, 2000. http://sunzi.lib.hku.hk/hkuto/record.jsp?B25949275.

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Adams, Russell John. "Quantitative Modelling Methods for the Incorporation of Uncertainty into Construction Project Estimates." Thesis, Link to the online version, 2007. http://hdl.handle.net/10019/952.

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Alomar, Derbas Jarrah. "Quality management." CSUSB ScholarWorks, 2001. https://scholarworks.lib.csusb.edu/etd-project/1741.

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Books on the topic "Quantitative Project Management"

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Anbari, Frank T. Quantitative Methods for Project Management. New York, NY: International Institute for Learning, Inc., 1997.

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Program planning: A quantitative approach. West Lafayette, Ind: Ichor Business Books, 1998.

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Ibbs, C. William. Quantitative impacts of Project Change. [Austin, Tex.]: The Institute, 1995.

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Quantitative models for project planning, scheduling, and control. Westport, Conn: Quorum Books, 1993.

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Slaghuis, Bernd. Vertragsmanagement fuer Investitionsprojekte: Quantitative Projektplanung zur Unterstuetzung des Contract Managements unter Beruecksichtigung von Informationsasymmetrie. Bern: Peter Lang International Academic Publishers, 2018.

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Slaghuis, Bernd. Vertragsmanagement für Investitionsprojekte: Quantitative Projektplanung zur Unterstützung des Contract Managements unter Berücksichtigung von Informationsasymmetrie. Frankfurt am Main: P. Lang, 2005.

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Wehrmann, Wolfgang. Innovation quantitativ: Ein neuer Beitrag zur Quantifizierung der strukturellen und ökonomischen Optimierung industriell-innovativer Planungsmodelle. Wien: Metrica Fachverlag, 1988.

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Olson, David. Quantitative Tools of Project Management. Business Expert Press, 2020.

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Quantitative Techniques for Project Management. Arizona Business Alliance, 2011.

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Quantitative Methods in Project Management. J. Ross Publishing, Inc., 2003.

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Book chapters on the topic "Quantitative Project Management"

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Morales, Peter J., and Dennis Anderson. "Quantitative Process Simulation." In Process Simulation and Parametric Modeling for Strategic Project Management, 35–48. New York, NY: Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4614-6989-6_6.

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Miller, Gloria J. "Framework for Project Management in Agile Projects: A Quantitative Study." In Information Technology for Management: Current Research and Future Directions, 155–74. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-43353-6_9.

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Morales, Peter J., and Dennis Anderson. "An Introduction to Quantitative Process Simulation." In Process Simulation and Parametric Modeling for Strategic Project Management, 25–29. New York, NY: Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4614-6989-6_4.

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Guerrero Chanduví, Dante A., María del Carmen Barreto Pérez, Catherin Girón Escobar, and Diego Saavedra Agurto. "Quantitative and Qualitative Analysis of Project-Based Learning to Acquire Competencies in Project Management." In Lecture Notes in Management and Industrial Engineering, 275–89. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-51859-6_19.

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Frey, Thorsten. "The impact of different governance arrangements on IT project portfolio selection outcomes – A quantitative modeling approach and simulation studies." In Governance Arrangements for IT Project Portfolio Management, 157–212. Wiesbaden: Springer Fachmedien Wiesbaden, 2014. http://dx.doi.org/10.1007/978-3-658-05661-2_5.

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Sunetnanta, Thanwadee, Ni-On Nobprapai, and Olly Gotel. "Quantitative CMMI Assessment for Offshoring through the Analysis of Project Management Repositories." In Lecture Notes in Business Information Processing, 32–44. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-02987-5_6.

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Enyinda, Chris I. "Quantitative Risk Analysis for International Project Management and Programs in an Emerging Economy." In Leadership, Innovation and Entrepreneurship as Driving Forces of the Global Economy, 769–80. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-43434-6_69.

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Simister, Stephen J. "Qualitative and Quantitative Risk Management." In The Wiley Guide to Managing Projects, 30–47. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2007. http://dx.doi.org/10.1002/9780470172391.ch2.

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Shu, JiangHong, Yong Duan, and Fang Wang. "A Quantitative Management Method of Software Development and Integration Projects." In Recent Advances in Computer Science and Information Engineering, 509–14. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-25789-6_69.

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Zünd, Daniel, and Luís M. A. Bettencourt. "Street View Imaging for Automated Assessments of Urban Infrastructure and Services." In Urban Informatics, 29–40. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-15-8983-6_4.

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AbstractMany forms of ambient data in cities are starting to become available that allows tracking of short-term urban operations, such as traffic management, trash collections, inspections, or non-emergency maintenance requests. However, arguably the greatest promise of urban analytics is to set up measurable objectives and track progress toward systemic development goals connected to human development and sustainability over the longer term. The challenge for such an approach is the connection between new technological capabilities, such as sensing and machine learning and local knowledge, and operations of residents and city governments. Here, we describe an emerging project for the long-term monitoring of sustainable development in fast-growing towns in the Galapagos Islands through the convergence of these methods. We demonstrate how collaborative mapping and the capture of 360-degree street views can produce a general basis for a broad set of quantitative analytics, when such actions are coupled to mapping and deep-learning characterizations of urban environments. We map and assess the precision of urban assets via automatic object classification and characterize their abundance and spatial heterogeneity. We also discuss how these methods, as they continue to improve, can provide the means to perform an ambient census of urban assets (buildings, vehicles, services) and environmental conditions.
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Conference papers on the topic "Quantitative Project Management"

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Miller, Gloria. "Project Management Tasks in Agile Projects: A Quantitative Study." In 2019 Federated Conference on Computer Science and Information Systems. IEEE, 2019. http://dx.doi.org/10.15439/2019f117.

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Bassioni, Hesham A., Mohamed E. Abd El-Razek, and Wael A. Abd El-Salam. "Avoiding Claims in Egyptian Construction Projects: A Quantitative Survey." In International Conference on Engineering, Project, and Production Management. Association of Engineering, Project, and Production Management, 2012. http://dx.doi.org/10.32738/ceppm.201209.0008.

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Barbosa, Jefferson Ferreira, Hermano Perrelli De Moura, and Marcelo Luiz Monteiro Marinho. "Towards a Quantitative Model to Deal with Uncertainty Management in Software Projects." In XI Congresso Brasileiro de Software: Teoria e Prática. Sociedade Brasileira de Computação - SBC, 2020. http://dx.doi.org/10.5753/cbsoft_estendido.2020.14614.

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The evolution of thinking in project management has raised interest in areas not yet explored by researchers and practitioners of project management, including the management of uncertainties associated with risk management. The correct risk and uncertainty management in software projects can represent a competitive differential for the software development industry. Despite the increasing use of uncertainty management strategies, many projects still fail. Some recent studies show that the current techniques used to manage uncertainties organize the project's known information, but give little or no indication of the unknown information or uncertainties associated with the project. These techniques do not take into account the impact of existing dependency and interdependence relationships between the various sources of uncertainties in the project. This work will apply Action Research to develop a model with a focus on uncertainty quantification techniques. This work aims to present a model with a focus on uncertainty quantification techniques that take into account the relationships of dependencies and interdependence that exist between the sources of risks and uncertainties in software projects and as a result, contribute with the advance of state of the art in the practice of risk and uncertainty management in project software.
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Oliveira, Bruna Marques Tristão de, Renato de Oliveira Moraes, Ana Paula Lopes, and Marly Monteiro de Carvalho. "COMPETENCIES IN PROJECT TEAMS: A QUANTITATIVE RESEARCH." In 13th CONTECSI International Conference on Information Systems and Technology Management. TECSI, 2016. http://dx.doi.org/10.5748/9788599693124-13contecsi/rf-4124.

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Wang, Xin, Aihua Ren, and Xiangshang Liu. "Researching on quantitative project management plan and implementation method." In GREEN ENERGY AND SUSTAINABLE DEVELOPMENT I: Proceedings of the International Conference on Green Energy and Sustainable Development (GESD 2017). Author(s), 2017. http://dx.doi.org/10.1063/1.4992993.

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Feng, Xu, Shaopei Lin, Hu Hao, and Zhu Wei. "Quantitative Solution of Overseas Project Risk Management by Knowledge Engineering." In International Conference on Sustainable Development of Critical Infrastructure. Reston, VA: American Society of Civil Engineers, 2014. http://dx.doi.org/10.1061/9780784413470.016.

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Su, Yi, and Gunnar Lucko. "A Unified Quantitative Model for Project Management with Singularity Functions." In Construction Research Congress 2016. Reston, VA: American Society of Civil Engineers, 2016. http://dx.doi.org/10.1061/9780784479827.201.

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Tao, Jing, Gang Zhang, Zaichao Huang, and Hui Huang. "Application of Monte-Carlo method in quantitative risk analysis for research project." In 2012 International Conference on Information Management, Innovation Management and Industrial Engineering (ICIII). IEEE, 2012. http://dx.doi.org/10.1109/iciii.2012.6339765.

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Ponsard, Christophe, Dimitri Durieux, Renaud De Landtsheer, Gustavo Ospina, Fabian Germeau, Jan Bitter, Lana Plumanns, et al. "PRIMa-Q - Towards a More Quantitative Approach in Project Risk Management by SMEs." In Challenges and Opportunities in ICT Research Projects. SCITEPRESS - Science and Technology Publications, 2017. http://dx.doi.org/10.5220/0007904800220034.

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Yang, L., and T. z. Gao. "Quantitative Study of Sustainable Utilization of Water Resources Transfer Project in Hebei Province, North China." In Water Resource Management. Calgary,AB,Canada: ACTAPRESS, 2010. http://dx.doi.org/10.2316/p.2010.686-027.

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Reports on the topic "Quantitative Project Management"

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Vonk, Jaynie. Sustainable Water and Sanitation in Zambia: Impact evaluation of the 'Urban WASH' project. Oxfam GB, February 2021. http://dx.doi.org/10.21201/2021.7284.

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The ‘Urban WASH' project was implemented in George and Chawama compounds in Lusaka between July 2013 and June 2017 by Oxfam and Village Water Zambia. The project aimed to improve provision and sustainable management of WASH services by engaging citizens to hold duty bearers and service providers to account. Oxfam collaborated with local institutions on an array of activities, engaging stakeholders to create a conducive environment for service provision and improving capacities and practices. This Effectiveness Review evaluates the success of this project to increase the sustainability of water and sanitation systems and services. Using a quasi-experimental evaluation design, we assessed impact among households in the intervention communities and in a comparison community. We combined the household-level quantitative assessment with analysis of community-level qualitative Key Informant Interviews, carried out with relevant institutional representatives. Find out more by reading the full report now.
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