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Armed forces worldwide face major investment needs, but past mistake risk being repeated unless they can learn from completed projects. Using a case example, this paper illustrates the valuable lessons that can be learned from defence projects based on ex-post evaluation. The Norwegian Navy’s logistics support vessel, HNoMS Maud, was delivered from its South Korean shipyard in 2018 after a turbulent construction period. We present an ex-post evaluation of the project based on an evaluation framework that aims to assess operational, tactical, and strategic project success. Although the problems from the construction phase seem to have been overcome, and the vessel fits well with NATO needs, its national relevance in a small navy with limited ocean-going capabilities can be questioned. Several lessons can be drawn from ex-post evaluations of projects. We thus encourage defence research communities and armed forces to strengthen their evaluation efforts to improve future planning and delivery of projects. [ABSTRACT FROM AUTHOR]

The development of bioenergy projects, which play a major role in the ongoing energy transition, must rely on research by indicators. This type of research allows the establishment of criteria that can guide development choices on scientific bases. To promote the continuation and development of bioenergy projects as much as possible, it is very important to take an interest in the dimensions and socio-cultural issues of bioenergy. Based on a corpus of 257 articles sorted into two distinct phases, this paper analyzed 25 academic articles that specifically discussed and proposed socio-cultural indicators for the assessment and evaluation of bioenergy projects. We looked at how the indicators were used across the papers and identified differences and commonalities. This has led us to identify a total of 71 indicators and to propose 18 key indicators based on their widespread use and their ability to cover the socio-cultural dimensions of bioenergy production. [ABSTRACT FROM AUTHOR]

An "ensemble" approach to decision-making involves aggregating the results from different decision makers solving the same problem (i.e., a division of labor without specialization). We draw on the literatures on machine learning-based Artificial Intelligence (AI) as well as on human decision-making to propose conditions under which human-AI ensembles can be useful. We argue that human and AI-based algorithmic decision-making can be usefully ensembled even when neither has a clear advantage over the other in terms of predictive accuracy, and even if neither alone can attain satisfactory accuracy in absolute terms. Many managerial decisions have these attributes, and collaboration between humans and AI is usually ruled out in such contexts because the conditions for specialization are not met. However, we propose that human-AI collaboration through ensembling is still a possibility under the conditions we identify. [ABSTRACT FROM AUTHOR]

This study was inspired by an emerging trend in contemporary cities: the transformation of trams into mobile spaces for recreation, education, and work. Despite the growing popularity of this concept, which is linked to the search for more sustainable transport options, there is a marked lack of guidelines, methodological frameworks, and reference case studies necessary to support these projects. This study fills this gap by illustrating the design guidelines developed for a project in Gwangmyeong, a new Korean town. These guidelines provide a structured framework for converting existing trams into mobile venues such as restaurants, classrooms, and work and conference spaces. Employing the design thinking approach, the guidelines comprise three primary design phases—Understand, Define, and Materialize—each consisting of two sub-phases, and specify the technical tools, roles, and outputs needed. The proposed guidelines are illustrated using material from the Gwangmyeong project. As the first of their kind, these guidelines provide a valuable case study and reference materials for designers, offering possible benchmarks for the technical and financial evaluation of such projects. This study hopes to stimulate discussions on the development and refinement of similar methodologies, addressing the growing interest in design discourse. [ABSTRACT FROM AUTHOR]

India's engagement with the African Union has been one of its important partnership agreements with Africa. The India–Africa Forum Summit (IAFS) kickstarted the engagement with African countries through the African Union overtaking bilateral relations and partnerships with regional organisations. India has since then remained a unique, request and need-based partner of the African Union. The various capacity-building initiatives taken up through IAFS have shown that India has shown serious commitment to India–Africa partnership. The first three IAFS shows that India committed substantial amounts of funds through IAFS. However, in reality, it could only deliver a very small portion due to the slow implementation of projects. Only 4% of Indian grants in 2017–18 were committed to Africa which improved slightly after 2019. Subsequently, over 40% of funds were committed but implementation had been very slow. There is never a third independent party evaluation of these projects for impact assessment or to suggest a solution for implementation issues. Presently, there is an urgent need to hold the next IAFS which has been delayed for a long time now. There is a need to organise review meetings with AU on a regular basis. India made extra-ordinary efforts to get the African Union admitted in G20 at the New Delhi meeting. However, the Indian expansion of Banjul Formula for IAFS, India's renewed focus on Global South, bureaucracy-driven implementation of partnership projects and insufficient political-level communications with AU leadership throw new challenges. [ABSTRACT FROM AUTHOR]

In recent years, a group of rapidly growing technology-based entrepreneurial enterprises have emerged in China, playing an increasingly important role in the national economy. However, small and mediumsized technology startups have low profitability and high risk, making it difficult to obtain sufficient funds from traditional financing channels. At present, research on venture capital evaluation mainly focuses on the evaluation of projects before venture capital, and empirical methods are mostly used to study the promoting effect of venture capital on performance after investment, ignoring the issue of continuous evaluation after investment. The performance evaluation of risk investment in small and medium-sized high-technology venture enterprises is MADM. In such study, the generalized weighted geometric Bonferroni mean (GWGBM) technique is illustrated for MADM under single-valued neutrosophic sets (SVNSs). We begin by constructing the single-valued neutrosophic number GWGBM (SVNNGWGBM) operator, followed by the introduction of the MADM based on this technique. Subsequently, we provide an illustrative example that evaluates the performance of risk investment in small and medium-sized high-technology venture enterprises, supplemented by some comparative analyses to demonstrate the SVNNGWGBM technique. The principal contributions of this research are highlighted: (1) The maximizing deviation method is employed to derive the weight; (2)The GSVNNWBM technique is developed, setting the stage for the introduction of MADM methods based on GSVNNWBM technique; (3) Numerical example is presented that focuses on the performance evaluation of risk investment in small and medium-sized high-technology venture enterprises, along with a comparative decision analysis. [ABSTRACT FROM AUTHOR]

This paper explores the management of societal impact in the context of Horizon 2020 (H2020) Social Sciences and Humanities (SSH) collaborative projects. Given the increasing demand for societal relevance in European-funded research, this study aims to (a) understand how societal impact is managed and (b1) identify the driving forces and (b2) barriers that influence impact management. By conducting semi-structured interviews with ten project coordinators from different European SSH projects, selected through purposive sampling procedures, the collected qualitative data were analysed using Atlas.ti. The thematic analysis revealed six themes: effective framework, stakeholder involvement; appropriate dissemination, competence, diversity and experienced members, limited post-project impact resources; and ineffective planning. This paper contributes to the discourse on project management by proposing a refined evaluation framework for societal impact that recognises different management strategies and considers the need for strategic planning and resource allocation to achieve sustainable societal impact. Our findings advocate for policies that promote greater transparency and inclusiveness in project evaluation, ultimately aiming to better align research outcomes with European policy priorities and societal challenges. [ABSTRACT FROM AUTHOR]