nep-ppm New Economics Papers
on Project, Program and Portfolio Management
Issue of 2023‒12‒04
five papers chosen by
Arvi Kuura, Tartu Ülikool

  1. Success of research projects in prediction and assessment from the point of view of project stakeholders thereby taking into account a sustainability approach By Agata Klaus-Rosinska
  2. Risk Analysis in the Selection of Project Managers Based on ANP and FMEA By Armin Asaadi; Armita Atrian; Hesam Nik Hoseini; Mohammad Mahdi Movahedi
  3. From public labs to private firms: magnitude and channels of R&D spillovers By Antonin Bergeaud; Arthur Guillouzouic; Emeric Henry; Clement Malgouyres
  4. Human Reliability Assessment method applied to investigate human factors in NDT - The case of the interpretation of radiograms in the French nuclear sector By Justin Larouze; Etienne Martin; Pierre Calmon
  5. Raising the bar: Designing and implementing innovative contracted-out employment services in OECD countries By Matija Vodopivec

  1. By: Agata Klaus-Rosinska
    Abstract: The literature research carried out points to a large number of publications on the management of research projects, but not many address the issue of success in the context of such projects, identifying criteria and success factors for this type of project. The aim of the article is to present the results of research on the success of research projects. Based on the conducted quantitative research, the importance of individual success factors and success criteria of research projects was determined, taking into account the opinions of various stakeholders thereby a sustainable approach. The research results indicate the high importance of most of the success factors and the success criteria of research projects pointed in the literature and those in turn are important for project management and supports decision-making.
    Keywords: Project success; Success factors; Success criteria; Research projects; Project stakeholders; Sustainable approach
    JEL: O22
    Date: 2022
  2. By: Armin Asaadi; Armita Atrian; Hesam Nik Hoseini; Mohammad Mahdi Movahedi
    Abstract: Project managers play a crucial role in the success of projects. The selection of an appropriate project manager is a primary concern for senior managers in firms. Typically, this process involves candidate interviews and assessments of their abilities. There are various criteria for selecting a project manager, and the importance of each criterion depends on the project type, its conditions, and the risks associated with their absence in the chosen candidate. Often, senior managers in engineering companies lack awareness of the significance of these criteria and the potential risks linked to their absence. This research aims to identify these risks in selecting project managers for civil engineering projects, utilizing a combined ANP-FMEA approach. Through a comprehensive literature review, five risk categories have been identified: individual skills, power-related issues, knowledge and expertise, experience, and personality traits. Subsequently, these risks, along with their respective sub-criteria and internal relationships, were analysed using the combined ANP-FMEA technique. The results highlighted that the lack of political influence, absence of construction experience, and deficiency in project management expertise represent the most substantial risks in selecting a project manager. Moreover, upon comparison with the traditional FMEA approach, this study demonstrates the superior ability of the ANP-FMEA model in differentiating risks and pinpointing factors with elevated risk levels.
    Date: 2023–11
  3. By: Antonin Bergeaud; Arthur Guillouzouic; Emeric Henry; Clement Malgouyres
    Abstract: Introducing a new measure of scientific proximity between private firms and public research groups and exploiting a multi-billion euro financing program of academic clusters in France, we provide causal evidence of spillovers from academic research to private sector firms. Firms in the top quartile of exposure to the funding shock increase their R&D effort by 20% compared to the bottom quartile. We exploit reports produced by funded clusters, complemented by data on labor mobility and R&D public-private partnerships, to provide evidence on the channels for these spillovers. We show that spillovers are driven by outsourcing of R&D activities by the private to the public sectors and, to a lesser extent, by labor mobility from one to the other and by informal contacts. We discuss the policy implications of these findings.
    Keywords: knowledge spillovers, policy instruments, technological distance
    Date: 2022–10–26
  4. By: Justin Larouze (Mines Paris - PSL (École nationale supérieure des mines de Paris) - PSL - Université Paris sciences et lettres); Etienne Martin (ICMCB - Institut de Chimie de la Matière Condensée de Bordeaux - UB - Université de Bordeaux - Institut Polytechnique de Bordeaux - INC - Institut de Chimie du CNRS - CNRS - Centre National de la Recherche Scientifique); Pierre Calmon (LEMA-LIST - Laboratoire architecture Electronique, Modélisation et Analyse de données - DIN (CEA-LIST) - Département d'instrumentation Numérique - LIST (CEA) - Laboratoire d'Intégration des Systèmes et des Technologies - DRT (CEA) - Direction de Recherche Technologique (CEA) - CEA - Commissariat à l'énergie atomique et aux énergies alternatives - Université Paris-Saclay)
    Abstract: This communication reports on a study carried out in the context of the collaborative FOEHN project (Human and Organizational Factors in Non-Destructive Evaluation) supported by the French National Research Agency. The motivation of this project comes from the observation that human and Organizational factors (HOF) are not sufficiently considered by the NDT community. Its goal is to analyse and model the influence of the HOF on selected cases of study in the perspective of a better evaluation of the performance of inspections. The communication is focused on a radiographic test (RT) case of study in which it appeared that several successive inspections had failed to detect an existing in-service defect. The analysis and modelling of HOF related to interpretation of films has been achieved in the framework of the CREAM (Cognitive and Reliability and Error Analysis Method). A survey has been conducted during the training and the maintaining of the proficiency of NDT (Non Destructive Testing) operators. This was followed by a non-participant observation of operators on site and several individual interviews including a sample of people covering the main organizational and hierarchical roles (eg. project management, management, operations, invigilation). The exchange with the HOF experts resulted in a hierarchical analysis of "radiogram interpretation" tasks (31 sub-tasks) and a list of contextual and organizational factors that may affect the performance of interpretation of films by the operator. From such a description the CREAM method allows to determine critical tasks and probability of "errors" linked to a limited set of "Common Performance Conditions" (CPC). The first conclusions of this study are that the model CREAM seems well-adapted to the estimation of the impact of HOF on NDT performances. The next phases should be to apply it to other tasks (here only radiograph interpretation) and techniques. The expected benefit of this study is to provide tools for the evaluation and optimisation of NDT implementation.
    Keywords: Nuclear Power Plant, Inspection, Radiography, Human Organisational Factors (HOF), Cognitive and Reliability and Error Analysis Method (CREAM), Non-Destructive testing, defect, reliability, signal processing
    Date: 2023–06–27
  5. By: Matija Vodopivec
    Abstract: Two out of five OECD countries contract out some of the job brokerage and counselling functions of publicly financed employment services using outcome-based payment models. This paper examines several important aspects related to the design and implementation of such outsourcing. First, innovative payment models can improve incentives for external providers to offer training and more effective services for hard-to-place clients. Second, providing forward guidance to providers and accounting for contingencies can mitigate their risks, e.g. of being underpaid relative to expenses incurred, thus lowering service costs. Third, letting individuals choose a provider can result in services that are better tailored and foster ongoing competition between providers. Finally, automating data exchange can, somewhat paradoxically, improve data privacy and data protection while enabling new payment models. These and related findings are discussed with country examples based on desk research and interviews with stakeholders in several OECD countries. The paper builds on work conducted in the project “Reforming the Swedish Public Employment Service”, which was carried out with funding from the European Union via the Technical Support Instrument and was implemented by the OECD in cooperation with the European Commission's Directorate-General for Structural Reform Support.
    Keywords: active labour market programmes, contracting out, employment services, outcome-based payments, private providers, public employment service
    JEL: J68 L33
    Date: 2023–11–22

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