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on Project, Program and Portfolio Management |
| By: | Sebasore Jotham; Dushimimana Jean de Dieu |
| Abstract: | Previously, project practitioners recognized that how well project planning is carried out has a significant impact on project success. Through project implementation, data collection, and model analysis, this research intends to investigate the relationship between project planning and project success. Project planning and project success information from 121 respondents Based on the information obtained, project planning is identified as having a direct impact on the project's success (cost and schedule performance). The general objective of the study was to assess the influence of planning practices in project success of education project implemented by true vineyard ministry Rwanda, then specific objectives of the research were to assess to analyze influence of Risk management Plan practices on the success of true education project implemented by true vineyard ministry Rwanda and the influence of financial resource planning practices on the successes of education project implemented by true vineyard ministry Rwandan. The study population was 355 respondents some from true vineyard ministry then the rest were coming from other stakeholders Sampling techniques had been used were Purposive-sampling and random sampling A sample-size of 121 respondents of true vineyard ministry and other stakeholders, Human resource planning practices the objectives we found out that riskmanagement practices allow for much better control over project financial performance (=1.9752, =0.94395) and nest one found that risk -management practices make a substantial contribution to project-success (=2.1157, =0.92367 Financial-resource planning practices on project success as shown by (¯x=2.0579, d=1.05907), Financial-resource planning practices makes easy project-implementation as shown by ( ¯x=1.8595, d=0. 96873), regulation influences the people to develop projects as shown by (=1.9752, Based on the findings it shows that the planning practices are the corner stone of project success The tool had been used Statistical Package for the Social Sciences (SPSS) version 16 was used to analyze the data, run correlation and regression analyses, and determine which planning procedures had the most impact on program outcomes. Key words: financial resources, project implementation, planning practices and risk management |
| Date: | 2022–12 |
| URL: | http://d.repec.org/n?u=RePEc:vor:issues:2022-44-03&r=ppm |
| By: | David Cimon |
| Abstract: | This paper examines the role of rewards-based and equity-based crowdfunding in funding new businesses. In this model, crowdfunding is a unique technology that serves as a real option for production and eliminates downside risk. It affords entrepreneurs who face uncertain consumer demand a viable means of funding new projects. Crowdfunding performs well for projects with a high variability in demand and a low probability of success. Conversely, crowdfunding does not perform well for large projects with little variability in demand or for projects where the production side is uncertain. |
| Keywords: | Digital currencies and fintech; Financial markets; Financial services |
| JEL: | G21 G24 G32 |
| Date: | 2023–05 |
| URL: | http://d.repec.org/n?u=RePEc:bca:bocawp:23-28&r=ppm |
| By: | MARQUES SANTOS Anabela (European Commission - JRC); COAD Alexander |
| Abstract: | Transformative Innovation Policy (TIP) has an important role in the sudden transition that our economies require to face up to today's grand challenges (climate change, sustainable development goals). In the European Union (EU), Cohesion policy funds are one of the main financing instruments to support innovation and a fair transition. This paper focuses on TIP's monitoring and evaluation (M&E). To begin with, we discuss the various degrees of sophistication that can be found in monitoring and evaluation exercises (i.e. Storey's "6 steps to heaven" scale), ranging from interviews asking recipients whether they are happy to receive funding, to full-blown causal econometric analyses. We then provide a survey of causal inference techniques that reach the 6th step on this scale, and analyse the degree of sophistication of recent EU Cohesion project evaluations. We conclude that evaluation completed by EU Member States using causal inference techniques only represents 8% of the total evaluations conducted for period 2014-2020, and this percentage is even lower when we look at innovation or environmental-related programmes. We identify some gaps in the observed M&E of EU Member States and we provide some recommendations for how to set up M&E, contrasting traditional M&E with modern M&E, and highlighting the need for real-time data. In sum, we state that M&E needs improving, and we suggest how this might be done. |
| Keywords: | Innovation, Sustainability, Policy Monitoring and Evaluation |
| Date: | 2023–05 |
| URL: | http://d.repec.org/n?u=RePEc:ipt:termod:202303&r=ppm |
| By: | Kedarisetty, Sampat; Kim, Changmo; Butt, Ali; Harvey, John; Lea, Jon; Jones, David |
| Abstract: | Full depth recycling (FDR) has emerged as a feasible rehabilitation alternative in California. This study focuses on addressing the economic feasibility of example FDR structures using life cycle cost analysis (LCCA) that included probabilistic and deterministic life cycle agency costs and deterministic life cycle road user costs. Two LCCA case studies were performed to provide an initial understanding of the agency cost variation. Estimating roadway construction costs plays a key role in pavement LCCA and long-term planning. Materials costs per functional unit are the major input values affecting pavement cost and total construction cost, and they are dependent on project scale, market, region, risk, climate, and economic circumstances. Publicly available contract cost data from past roadway construction activities on the California state highway network were used in this study. Economies of scale suggest that high quantities of materials would have lower unit costs. Unsupervised machine learning techniques were employed to divide the available data into four volume categories (low, medium, high, very high) based on material quantities in a project to accomplish the probabilistic LCCA. Work zone delay road user costs were estimated in RealCost-CA and incorporated into the life cycle cost of each alternative. Case studies were conducted for rehabilitation of two California highways, State Route 113 (SOL 113) and State Route 84 (YOL 84), for a 60-year design life. Two different pavement rehabilitation alternatives were considered for the project, an FDR structure and a hot mix asphalt HMA reconstruction, along with their respective maintenance and rehabilitation sequences. Two different pavement structural design methods were also included in the study to enable comparison: R-value and CalME. |
| Keywords: | Engineering, Social and Behavioral Sciences, life cycle cost analysis (LCCA), machine learning, Monte Carlo simulations, probabilistic LCCA |
| Date: | 2023–04–01 |
| URL: | http://d.repec.org/n?u=RePEc:cdl:itsdav:qt6q9387qq&r=ppm |
| By: | Clarisse Aujoux (IAP - Institut d'Astrophysique de Paris - INSU - CNRS - Institut national des sciences de l'Univers - SU - Sorbonne Université - CNRS - Centre National de la Recherche Scientifique); Kumiko Kotera (VUB - Vrije Universiteit Brussel, IAP - Institut d'Astrophysique de Paris - INSU - CNRS - Institut national des sciences de l'Univers - SU - Sorbonne Université - CNRS - Centre National de la Recherche Scientifique); Odile Blanchard (GAEL - Laboratoire d'Economie Appliquée de Grenoble - CNRS - Centre National de la Recherche Scientifique - INRAE - Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement - UGA - Université Grenoble Alpes - Grenoble INP - Institut polytechnique de Grenoble - Grenoble Institute of Technology - UGA - Université Grenoble Alpes) |
| Abstract: | We present a pioneering estimate of the global yearly greenhouse gas emissions of a large-scale Astrophysics experiment over several decades: the Giant Array for Neutrino Detection (GRAND). The project aims at detecting ultra-high energy neutrinos with a 200, 000 radio antenna array over 200, 000 km as of the 2030s. With a fully transparent methodology based on open source data, we calculate the emissions related to three unavoidable sources: travel, digital technologies and hardware equipment. We find that these emission sources have a different impact depending on the stages of the experiment. Digital technologies and travel prevail for the small-scale prototyping phase (GRANDProto300), whereas hardware equipment (material production and transportation) and data transfer/storage largely outweigh the other emission sources in the large-scale phase (GRAND200k). In the mid-scale phase (GRAND10k), the three sources contribute equally. This study highlights the considerable carbon footprint of a large-scale astrophysics experiment, but also shows that there is room for improvement. We discuss various lines of actions that could be implemented. The GRAND project being still in its prototyping stage, our results provide guidance to the future collaborative practices and instrumental design in order to reduce its carbon footprint. |
| Keywords: | Greenhouse gas emission, Carbon footprint, Climate change, Large-scale astrophysics experiment, Radio-detection |
| Date: | 2021–09 |
| URL: | http://d.repec.org/n?u=RePEc:hal:journl:hal-03228304&r=ppm |
| By: | Alexander Cuntz; Alessio Muscarnera; Prince C. Oguguo; Matthias Sahli |
| Abstract: | This paper offers a primer on the basic economics of film finance and standard practices in the U.S. movie industry. It takes the U.S. movie industry as a case in point to study how excess risk and uncertainty around financing new projects are processed and managed by private sector entities and what market-based solutions are developed to prevent market failure. The paper summarizes the most common types of financial deals on the ground and reoccurring funding sources for new content production and distribution in the past twenty years. In particular, this research discusses the prominent role of intellectual property (IP) in financial transactions in the audiovisual sector. Research findings are based on a series of semi-structured interviews, commissioned expert memoranda, and a dedicated panel held with selected industry experts in November 2022. In addition, we conduct exploratory analysis and provide descriptive evidence on credit and intangible collateral use in the industry using data from Uniform Commercial Code (UCC) filings and official IP registers. In light of the digital transformation of the audiovisual sector, the research documents industry trends and the most recent changes in the financing of U.S. film. We conclude with an outline of generic policy options for an upgrade of the financing environment in the U.S. and beyond. |
| Keywords: | Movie industry, finance, intellectual property, collateral, loan, digitization |
| JEL: | G20 L82 O34 Z11 |
| Date: | 2023–05 |
| URL: | http://d.repec.org/n?u=RePEc:wip:wpaper:74&r=ppm |
| By: | Bernard Hoekman; Marco Sanfilippo; Margherita Tambussi |
| Abstract: | This paper analyzes the relationship between inward FDI and structural transformation of local labour markets in Africa. We combine geolocalized information on the distribution of FDI with a noveldatabase that provides information from 40, 665, 627 individuals in 2, 570 subnational units over the period 1987-2019. Results are suggestive of a positive effect of FDI on structural transformation.FDI contributes to an increase in employment, and shifts of workers towards modern industries and higher-skilled occupations. No effects are found on self-employment. Results are heterogeneous, reflecting the characteristics of the foreign investor and of the business activity undertaken by foreign firms in the local market. Geospatial analysis of changes in performance of domestic firms exposed to nearby FDI projects provides evidence of horizontal spillovers and inter-industry linkages, suggesting a complementary mechanism through which FDI drives structural change. |
| Keywords: | FDI, Jobs, Structural Transformation, Africa |
| Date: | 2023–01 |
| URL: | http://d.repec.org/n?u=RePEc:rsc:rsceui:2023/02&r=ppm |
| By: | Pédussel Wu, Jennifer; Metzger, Martina; Neira, Ignacio Silva; Farroukh, Arafet |
| Abstract: | Community currency systems are now turning to digital methods to increase the social outreach of member households in remote areas, mitigate detrimental effects in times of crises, and promote community social cohesion. The resilience of digital community currency systems depends on a set of decisive factors including stability, sustainability, and technical functionality. OurVillage in Cameroon is a socio-economic project that aims to increase and promote economic activity through the introduction of a blockchain-based local community currency system. This paper explores the potential of electronic complimentary payment systems by examining the underlying motivations for consumer use based on their socio-economics characteristics. We develop a demand estimate for the community currency, concentrating on the underlying environmental conditions of the target population. A demand study is helpful in order to observe the optimal conditions for goods' consumption, in this case the community currency system. The resulting estimation provides fundamental insights into the quality of the project and the determinants for successful implementation. Our findings have important policy implications, particularly for communities intending to introduce their own digital community currency systems. |
| Keywords: | demand estimates, community currency, socio-economic development projects |
| JEL: | B4 C10 D02 E42 O12 |
| Date: | 2023 |
| URL: | http://d.repec.org/n?u=RePEc:zbw:ipewps:2092023&r=ppm |