An investigation into using SAP-PS as a multidimensional project control system (MPCS)

This paper investigates the effectiveness of using a corporate enterprise resource planning (ERP) system as a multi-dimensional project control system (MPCS) to monitor and control the work performed on projects, meet the needs and expectations of the project managers and support the requirements of other key stakeholders. A qualitative approach i.e. case study interviews and literature review accompanied by a quantitative computer system validation test approach was deployed. The results from this study suggest that the corporate ERP system is effective at monitoring and controlling the project stakeholder success criteria within a fully integrated environment. The system does however need to be setup and configured for the purpose of MPCS. This study contributes to the field by providing empirical evidence that corporate ERP systems are likely one of the only systems truly capable of solving the age old problem of how to expand the traditional singular dimensional approaches commonly used in project control, thus multiple control dimensions are integrated with each other and other business systems to form a multi-dimensional project control system

Risk identification in megaprojects as a crucial phase of risk management: a literature review

The purpose of this study is to perform a literature review of risk management in megaprojects and systematize the risks studied in the literature. A systematic search of the main databases has been performed. The contributions include: (1) a bibliometric analysis of articles; (2) the systematization and classification into nine categories of the risks found in a content analysis of the articles; and (3) the identification of possible areas of interest for research and practice. Risks are comprehensively categorized to assist practitioners during the identification phase, while potential areas for future lines of research are presented for academics.Unión Europea, ACTION COST TU1003 - MEGAPROJECT: El diseño eficaz y la entrega de megaproyecto

The applications of artificial intelligence in supply chain project management: a survey

This paper reviews the articles that address the use of artificial intelligence (AI) within the management of supply chain projects. The focus is on investigating AI's possible applications and benefits in project planning and execution. SCOPUS database is used to cover highly ranked scientific papers. The review concludes that AI connected supply chain projects were undertaken mainly in North America and Southeast Asia. AI offers excellent opportunities to increase the chance of achieving project targets. However, there is still a greater need for profound academic research on the use of AI in project management, emphasizing supply chain requirements within the serial production industry

Identifying and Visualising KPIs for Collaborative Engineering Projects:a Knowledge Based Approach

Nowadays manufacturing involves high volume of complex operational processes, distributed resources and international/intersectional collaborations, which cause the evaluation of performance for related engineering projects to become a challenge. The performance of project is a key factor that determines the quality of output, and its temporal changes could reflect the status of project execution at current time, as well as indicate the potential issues for the near future. As a result, monitoring the change of performance is an essential approach to ensure the project execution is on track. It could raise awareness of project participants upon any issue occurs, and enable them to make appropriate decisions on a real-time basis.To facilitate the evaluation of project performance in collaborative environments, this research aims to propose an automatic approach to extracting key performance indicators (KPIs) from project related data, and also to demonstrate how the domain knowledge can facilitate the process of KPIs identification and visualisation

Mobilidade na Gestão de Projetos

The development of projects is fundamental to the daily functioning of any organization.  However, many projects do not always have the expected results. Amongst the factors that influence the performance of projects is their effective and efficient monitoring and control.  The aim of this paper is to investigate the way in which the use of mobile technologies in the processes of project monitoring and control affects project performance. The research methodology adopted consists of an exploratory phase (qualitative, with interviews) and an explanatory phase (quantitative – via a survey), and this article will emphasize the qualitative results obtained in the latter. The research data indicate a positive relation between the use of mobile technologies in monitoring and control of projects and project performance, particularly in terms of working within the planned schedule.O desenvolvimento de projetos é fundamental para o funcionamento diário de qualquer organização. No entanto, muitos projetos nem sempre têm os resultados esperados. Entre os fatores que influenciam o desempenho dos projetos está o monitoramento e controle eficaz e eficiente. O objetivo deste trabalho é investigar a maneira pela qual o uso de tecnologias móveis nos processos de monitoramento e controle do projeto afeta o desempenho do mesmo. Os resultados obtidos indicam uma relação positiva entre o uso de tecnologias móveis no monitoramento e controle de projetos e desempenho do mesmo, particularmente em termos de cumprimento do cronograma planejado

Extending corporate sustainability reporting indicators to projects’ sustainability

Measuring the sustainability performance of an organisation is a rather complex task. This study aims at analysing a broad number of performance indicators related to the economic, environmental, and social pillars of the Triple Bottom Line (TBL) framework and evaluates their applicability toward the development of a sustainable performance measurement system (SPMS) of projects. To this purpose, an analysis of the annual sustainability reports of the listed EURO STOXX Sustainability 40 companies was conducted, identifying the sustainability indicators incorporated in each individual report, and classifying them according to the three pillars of the TBL framework. The analysis of the reports yielded 67 economic indicators, 109 environmental, 130 social, and 38 additional ones, mainly combining the latter two categories, giving 344 unique indicators in total. The proposed system, based on empirical evidence, recommends that selected indicators for an SPMS for projects should relate to predefined subcategories. These are costs, efficiency, and shareholder return for the economic dimension; emissions, energy, paper, resource consumption, waste, and water for the environmental dimension; diversity & equality, ethical behaviour, external commitment, health & safety, training & development, and working conditions for the social dimension