Evaluating Selecting And Controlling R D Projects

In today's fast-paced business environment, project managers face the daunting challenge of managing risk effectively amid uncertainty. Traditional project management methodologies often lag, leading to missed deadlines, cost overruns, and subpar outcomes. A comprehensive risk management framework is necessary for organizations to be protected from fate's whims, hindering their ability to achieve strategic objectives. The DMAIC Stochastic Method is a groundbreaking approach that combines Six Sigma principles with stochastic modeling to revolutionize project risk management. Novel Six Sigma DMAIC Approaches to Project Risk Assessment and Management is a guidebook for implementing the DMAIC Stochastic Method in project management. This innovative methodology provides a systematic way of identifying, assessing, and mitigating risks, ensuring that projects stay on track and deliver the desired results. By integrating deterministic and stochastic models, the DMAIC Stochastic Method offers a more holistic view of risk, enabling managers to make informed decisions and proactively address potential issues.

Despite the billions of dollars spent on development assistance each year, there is still very little known about the actual impact of projects on the poor. There is broad evidence on the benefits of economic growth, investments in human capital, and the provision of safety nets for the poor. But for a specific program or project in a given country, is the intervention producing the intended benefits and what was the overall impact on the population? Could the program or project be better designed to achieve the intended outcomes? Are resources being spent efficiently? These are the types of questions that can only be answered through an impact evaluation, an approach which measures the outcomes of a program intervention in isolation of other possible factors.This handbook seeks to provide project managers and policy analysts with the tools needed for evaluating project impact. It is aimed at readers with a general knowledge of statistics. For some of the more in-depth statistical methods discussed, the reader is referred to the technical literature on the topic. Chapter 1 presents an overview of concepts and methods. Chapter 2 discusses key steps and related issues to consider in implementation. Chapter 3 illustrates various analytical techniques through a case study. Chapter 4 includes a discussion of lessons learned from a rich set of 'good practice' evaluations of poverty projects which have been reviewed for this handbook.

This paper provides a quantitative impact assessment of the community-based integrated natural resources management project (CBINReMP) in the Lake Tana region in Ethiopia during 2011-2019. By promoting greater community participation, the CBINReMP provided support to watershed communities for the restoration of degraded soils and water sources, rehabilitation of forests, as well as in obtaining access to secure land titles and practices for climate change adaptation. The project further provided support towards diversification of incomes in off-farm activities and incentives for women’s empowerment and youth employment. This way the project aimed to support rural livelihoods through improvements in household incomes, dietary diversity, agricultural productivity, and resilience to climatic shocks, among other livelihood objectives. To assess the project’s impacts, the study had to deal with numerous methodological complications owing to as the project’s nature and design. The lack of a proper baseline survey, incomplete information about targeted watershed communities and often lack of clear distinction lines between the project’s interventions and support provided to communities through other mechanisms made it hard to identify the true impact of the CBINReMP. Four additional challenges had to be faced: possible selection biases because of non-random placement (targeting) of the project; self-selection of beneficiaries into receiving the project; possible spatial spill-over effects of project benefits to non-treatment communities, and the project’s phased rollout. A propensity-score matching procedure was adopted to assess the CBINReMP’s impacts by comparing treatment (beneficiary) and control groups outcomes related to the livelihood indicators listed above. This paper discusses how the mentioned complications were addressed to provide a sound assessments of the project’s true impacts. While certain limitations remain, the key finding that can be drawn with confidence is that the CBINReMP had only very limited, quantitatively verifiable impact on rural livelihoods. It seems to have contributed to higher household incomes and some greater dietary diversity, but only where the project managed greater community participation. However, even for those beneficiaries, livelihood conditions had not become significantly more productive, diversified, resilient, or sustainable than those of the comparison group. The paper ends with recommendations on how to avoid methodological obstacles through better design of the M&E framework for multi-intervention, community-based projects.

Evaluation in recent decades has evolved from a tool for project appraisals to a more widely used framework for public decision-making and operational management. Most evaluation books are focused on traditional tools of analysis such as cost-effectiveness and cost-benefit analysis to the neglect of modern tools such as multi-criteria evaluation, social marginal cost of funds analysis, data envelopment analysis, results-oriented management and evaluation and theory based evaluations. This edited volume provides an easily accessible and comprehensive survey of both traditional and modern tools of analysis that are used in the evaluation literature to evaluate public projects, programs, policies and policy analysis and advice. The book will be of interest to students, scholars, researchers, practitioners and policy makers.

The Independent Evaluation Group (IEG) of the World Bank has undertaken impact evaluations of the Bank's support to irrigation in Andhra Pradesh, India (under AP Irrigation II and III), and of the U.K. Department for International Development supported Rural Livelihoods Project (RLP). This is one of a series of IEG impact evaluations (see appendix H). IEG's program of impact evaluation is in part carried out under a Department for International Development-IEG partnership agreement; hence the focus on RLP. However, survey villages are also covered by the Bank supported DPIP project, so that the findings are also relevant to this project.