Case Study Of Project Research Articles

Value tensions and actionable knowledge in grassroots innovation: a study of invitational ambiguity and implementation challenges

Purpose This research paper explores how grassroots innovation initiatives address and resolve the challenges of translating broad and inviting values such as sustainability, inclusiveness and aesthetics into practical and actionable structures. This study examines the tensions and difficulties projects face in operationalizing these values, revealing the gap between idealistic goals and real-world implementation. Moreover, this paper analyzes how role expectations and the concept of invitation ambiguity affect top down and bottom up approaches, offering insights for improving mechanisms to support grassroots innovations. Design/methodology/approach This study uses an exploratory qualitative methodology with an embedded case study design, focusing on the New European Bauhaus (NEB) and its award-winning projects. Data were collected through online self-assessment surveys, secondary data analysis, and semi-structured interviews with project owners and NEB Unit representatives. Findings The findings reveal significant challenges in translating broad and inviting values (sustainability, inclusion and aesthetics) into actionable outcomes for grassroots projects. Key issues include the need for clearer role definitions, tailored support, and adaptability. Conflicts between those values and a mismatch between expectations about stakeholders’ contributions highlight the need for designing more flexible and robust frameworks and robust frameworks. Originality/value This research explores the effects of invitational ambiguity within grassroots innovation, revealing how broad values ‐ like sustainability, inclusion and aesthetics ‐ are operationalized in real-world settings. By applying collective action theoretical frameworks to the unique case study of NEB projects, this study provides fresh insights into the dynamics between top-down European policies and bottom-up grassroots practices.

Co-Production Within Academic Constraints: Insights from a Case Study

Co-production in research offers the potential for multiple benefits, including amplifying the voices of the marginalised, reducing power inequalities between academic researchers and co-researchers outside of academia, increased likelihood of impact, and improvement in the research process. But alongside increased interest in co-production, there is increased awareness of its contextual constraints. Key amongst these are institutional orthodoxies in academia, including time-limited, project-based research and precarious employment for junior researchers. To examine how the potential benefits of co-production can be achieved within the constraints of current academic systems, a case study project was assessed against a documented set of expectations for the co-production of research with older adults. The case study was a research project conducted with seven almshouse communities in England on the topic of social resilience. The wider almshouse communities—staff, trustees, and residents—were involved in co-production. The assessment concluded that co-production led to rich data and deep understanding. Co-production aided the development of skills and experiences of the co-researchers, resulted in changes in practice, and challenged power differentials, albeit in limited ways, but could not ensure the sustainability of relationships or impact. Key elements for effective co-production included the approach to and governance of the project, the formation of a Residents Advisory Group, and planning for the limited commitment that individuals and organisations outside of academia may be able to contribute to research.

Geospatial Capacity Building for Flood Resilience in the Sahel: the SLAPIS project case study

Abstract. This study focuses on the development of a people-centred early warning system (EWS) against floods in the Sirba River basin between Niger and Burkina Faso. This densely populated area has witnessed an increase in extreme flooding events in recent years. Several flood forecasting systems in the Sahel exist, although there is no EWS that integrates the four components of people-centred EWSs, namely risk knowledge, monitoring and warning service, dissemination and communication, and response capacity. The proposed EWS, named SLAPIS, includes a risk knowledge component that involves defining four levels of vigilance. Its monitoring and alert component involves a user-friendly web application containing real-time data collected through automatic stations. The EWS communicate seamlessly with the national alert system. The response capacity is strengthened through the creation of a flood zone atlas. In this framework, the EWS integrates significant geoinformatics in preparation of local risk reduction plans and the awareness of local communities. In the SLAPIS case study, multi-temporal classifications were conducted using Sentinel-2 data and high-resolution images (approximately 10 cm) generated through Structure from Motion (SfM) techniques. Digital Terrain Model (DTM) creation for hydraulic model calibration employed a multiscale approach, incorporating GNSS survey data processed via Precise Point Positioning (PPP), HydroSHEDS (approximately 100m resolution), and commercial 10m resolution data. All information was calibrated, harmonised, and integrated into the EWS model, which is accessible via a web platform. Capacity building encompassed direct training and field implementation to streamline the primary EWS generation steps.

Why anti-corruption projects and programmes fail in some African countries: a case study of an anti-corruption project that drowned in corruption and the lessons learned

Purpose The pandemic of corruption in Africa reflects the more general climate of the lack of both ethical leadership and appropriate anti-corruption systems found throughout most of the continent. The purpose of this study is to examine the manner in which corruption was perpetrated in an anti-corruption project that was intended to produce outcomes to reduce and control said corruption, in a sub-Saharan Africa country, for sustained development outcomes, including progress in meeting the sustainable development goals. Design/methodology/approach Based on a field experience, and drawing on the active participant observation research methodology, buttressed by open-ended interviews, this work provides a qualitative analysis and assessment case study of corruption in the implementation process of the anti-corruption project. Findings It is shown that corruption remains a significant barrier to positive development outcomes, especially in those environments where certain social norms and collectivist behaviour are prominent. In such environments, special systems need to be in place for project implementation success even in cases where a project itself is designed to reduce and control that corruption. Key lessons learned include the imperatives of recruiting qualified and ethical personnel and the importance of country ownership, political will and persistent project monitoring including by the citizen beneficiaries of sustainable development projects. Originality/value The paper’s value is the insights it provides through the mapping of the key lessons learned for successful implementation of projects and systems to control corruption and improve ethical behaviour in Africa and beyond.

Integrating SDGs to village development plan through the provision of infrastructure: The case of best village panchayat in Kerala, South India

With the declaration of the Sustainable Development Goals (SDGs), the importance of localisation principles and, consequently, the local-level institutions in implementing development policies came to the forefront. India adopted a thematic approach by condensing the seventeen goals into nine themes, to be worked upon by the local administrative units, furthering that each Village Panchayat (constitutionally known as Grama Panchayats) should select a theme in a plan year and strive towards attaining it. For the South Indian state of Kerala, with its good trajectory of decentralised governance, this localisation process of SDGs was rather smooth. In this article, we discuss the case of the best-performing Grama Panchayat (GP) in Kerala, which has identified ‘Village with Self-Sufficient Infrastructure’ as the development theme. Through qualitative research methodology, we examine how the Panchayat included projects specific to this theme in the development plans and how the implementation helped produce effects on multidimensional aspects of SDGs using the SDG Impact Assessment Tool. The case studies of different infrastructure-based projects endorse that with proper planning and implementation of such projects, the lowest tier of administration can significantly contribute to the improvement of development goals. We have delineated full fund utilisation through convergence schemes, community participation, and strong monitoring mechanisms as the factors leading the selected Panchayat to be the champion of the cause. The accomplishment exhibited by the Panchayat by integrating SDGs into the Village Development Plan through the projects on the theme of self-sufficient infrastructure can be well emulated by other local bodies across the world.

Community-Based Art Projects for Public Health Education

Community-based art projects offer an innovative approach to public health education, harnessing creative mediums such as visual arts, performance, and storytelling to engage diverse populations. These projects emphasize community involvement and co-ownership, fostering a sense of belonging and encouraging open dialogue on critical health issues. By using art to bridge cultural and language barriers, these initiatives promote health literacy, enhance knowledge retention, and create inclusive platforms for public discourse. This paper examines the theoretical foundations, benefits, and case studies of successful community-based art projects. It also outlines best practices for implementing these initiatives, highlighting their potential to empower communities, reduce health disparities, and improve overall well-being. Keywords: Community-based art, public health education, health literacy, creative expression, health disparities.

Commentary: Strengthening System Readiness for Health Interventions: Lessons for Implementing Interventions and Implementation Support in Low-And Middle-Income Countries.

In low- and middle-income countries (LMICs), barriers such as low system readiness, contextual mismatches, and resource limitations impede effective implementation of evidence-based interventions. This commentary offers insights into overcoming these challenges with a case study of the PRISM project, designed to reduce behavioral and psychological symptoms of dementia in older adults living in Thailand. The case highlights how combining two evidence-based models - the Reducing Disability in Alzheimer's Disease clinical intervention and the Getting To Outcomes implementation science process enhances program success. Using interviews with stakeholders across various health system levels, we identify factors critical to successful program implementation: (1) integrating interventions into policy frameworks, (2) empowering local implementers, (3) fostering collaborative learning, and (4) adapting interventions to local contexts. The case demonstrates that building system readiness through local engagement and ownership is central to scaling up health programs in LMICs. This commentary's contribution lies in its emphasis on the role of implementation science as a vehicle for translating research into practice. It presents a practical, adaptive model for embedding interventions into routine health systems, thereby offering a pathway for successfully scaling up evidence-based programs in LMICs. Such findings provide lessons for overcoming barriers to implementation in resource-limited environments.

How to build a powerline: Fast policies for decarbonization, the slow work of public participation, and the profitability of energy capital

Community opposition to new low-carbon energy infrastructure – and resulting project delays and cancellations – is increasingly taken by some climate activists, policymakers, and scholars as evidence of the incompatibility between urgent decarbonization and expanded public participation. This paper argues that too narrow a focus on this duality risks overlooking an additional mandate: the profitability of energy capital. This paper intervenes in the ‘rapid vs. just transitions’ debate by arguing that building low-carbon energy infrastructure requires a balancing of trade-offs between speed, local support, and profit for private developers. Using a case study of a controversial transmission project in the northeastern United States, I argue that project delays are attributable not (just) to uncooperative publics, but to energy capital's drive for profit, which discourages compromises with host communities that would increase project costs but cultivate local support. By treating the social legitimacy of low-carbon energy infrastructure as contingent on its ability to meet criteria for public acceptability, this paper argues that the slow work of public participation can in fact be the route to ‘fast policies’ for decarbonization when it fosters developer norms in line with community expectations for projects.

Engineering Value in Projects Building Construction: Case Research Sofifi 3-Story ASN Official House - North Maluku Province

The sustainability of construction projects often hinges on managing costs effectively, as illustrated by the case study of an ASN housing building project in Sofifi, North Maluku. This research aims to achieve significant cost savings by optimizing the selection of construction materials and methods, utilizing the Value Engineering Method. This method systematically assesses the value of each component relative to its function, promoting an innovative approach to minimizing unnecessary expenditures. The research followed several structured stages: information gathering, creative ideation, analysis, evaluation, and development, each focusing on identifying feasible alternatives to reduce costs. The analysis identified two key solutions: replacing conventional flooring with precast materials for floor work and substituting lightweight brick walls with red brick walls. Implementing these changes reduced the total project cost from IDR 2,295,005,206 to IDR 1,698,939,324, achieving savings of IDR 596,115,883 (35%). The findings of this study provide practical implications for construction project management, offering a structured approach to material and method selection that can be adapted to broader-scale projects for enhanced cost-efficiency.

The Belt and Road Initiative and Sustainability: a Driving Force for Change or a Missed Opportunity?

Abstract The growing number of developing and emerging economies today challenge the conditionality of Western-based international organisations in which they have little power. China, in particular, has been building on its economic leverage to offer an alternative development model to the world – the Belt and Road Initiative (BRI). On 27 November 2023, The Economist published an article with an existential headline, ‘Will China save the planet or destroy it?’ drawing our eyes to the role of China and the BRI in global warming. Given the BRI’s scale and potential impact on the global environment, this role is hard to ignore. Beijing has recently transformed the BRI by introducing a series of policy documents that address sustainability and climate as one of the BRI’s major focuses. The fundamental questions are: (1) to what extent does the BRI as an alternative development model help solve global sustainability risks, and particularly climate crisis? and (2) what limitations might erode the BRI’s positive effect on global sustainability and, particularly, climate change? Based on the case study of the BRI projects in Central Asia, this article argues that, despite the initiative’s capacity to drive sustainability globally, it has not brought real change. The reliance on the ‘host country standard’ produces policy inconsistencies, regulatory loopholes, and a lack of accountability from Chinese investors. From the global sustainability perspective, this means that China has not yet transformed the BRI to become a sustainability game-changer to drive the climate agenda globally.

Retraction Note: The role of fixed capital formation, renewable and non-renewable energy in economic growth and carbon emission: a case study of Belt and Road Initiative project.

Retraction Note: The role of fixed capital formation, renewable and non-renewable energy in economic growth and carbon emission: a case study of Belt and Road Initiative project.

A self-organizing map clustering adaptive artificial neural network model for analysis critical success factors in different phases of MTO projects case study: electrical equipment manufacturer and supplier in Iran

PurposeThe purpose of this paper is to investigate the benefit of critical success factors (CSFs) clustering in different phases of make-to-order (MTO) projects and develop standards for management.Design/methodology/approachThis study is based on a questionnaire survey. First of all, collecting data by structured interviews, relying on a questionnaire and second from leader contractors who are active in the engineering and steel industry (in Iran). So, the requirements and objective of the research are presented to the top management of MTO projects to gain their support in data collection. Then 20 CSFs were identified by the literature review so a questionnaire survey was prepared for the CSFs assessment and interview with the experts. Finally analyzing the importance and performance of CSFs in project phases and cluster them in different project phases with self-organizing map as one of the artificial neural network (ANN) approaches due to high predictive accuracy. Review the research result with the top management of MTO project and examine the results obtained from neural networks and validation indices.FindingsCluster analysis shows that the implementation phase is the most important stage in MTO organizations and the other phases like feasibility and start-up, design and planning, delivery and end-phase should be also considered as effective phases in determining the level of organization performance. Different industries with additional data at different periodic times will verify the result. Furthermore, testing the other ANN model will improve risk analysis and could shift this classification approach to a regression type.Research limitations/implicationsThe main limitation of the research is related to the sample. Research findings are limited to the time of data collection so validity is limited to the mentioned time. Different industries with additional data will verify the result. Furthermore, testing different ANN models such as K-MEANS, non-negative matrix factorization (NMF) analyses will improve risk analysis and could meet different classification results to find gaps.Practical implicationsIn this paper, CSF and project phase dimensions are viewed together which is necessary to meet better results for simplifying social and economic benefits. Merge the new findings and latest technologies could prepare the best results and enable managers to create a better framework or implement key factors for minimizing waste.Originality/valueThis paper moves the definition of MTO organizations beyond measuring cost, complexity and financial variables by clustering CSFs in different phases of projects. So, the results enable managers to use this concept in their daily production to minimize waste and could be implemented to efficiently choose factors.

A More Effective Social Protection System for Older Workers: A Case Study of the Older Adult Employment Project in Thailand

The phenomenon of old-age pensioners reentering the workforce is neither new nor unique and has been well-reported in several published literature. However, there are remaining challenges to this group of job seekers whose needs have yet to be well-documented from employer’s perspectives, especially regarding decent work, legal landscape, and organizational culture. Our study seeks to provide a better understanding of the underlying causes of these and to help policymakers introduce social protection policies to create a more welcoming and supportive environment for older workers. The study used a case study from service companies in Thailand that participated in the Thai government’s campaign on promoting older employment. Data was collected from interviews with top managers of the human resources department, and that information was analyzed by thematic analysis. Key findings highlighted that the supportive mechanisms for matching decent work, a room for integrating legal framework, and a culture that values inclusivity and fair treatment of all workers, regardless of age, can enhance the social protection system for older workers. The establishment of a modern database of older workers’ skills, which ensures easy accessibility to both employers and older workers, the establishment of a task force specific for monitoring laws and regulations concerning older employment, and the development of effective measures against workplace discrimination are recommended as effective interventions for social protection.

Motivation and Engagement of Students: A Case Study of Automatics and Robotics Projects

Automatics and Robotics students usually engage in some interdisciplinary approaches on their courses at universities, joining the areas of computer science and control theory. During the limited duration of these courses, some knowledge must be acquired by the students. Remote education, temporarily enforced by the COVID-19 pandemic in recent years, has posed new challenges related to the limited contact that students have with academic staff, as well as the limited access students have to hardware facilities. This paper discusses the motivations of students after the COVID-19 pandemic based on a case study of student projects completed at the University of Zielona Gora (Poland). The conducted study was student-centered and highlighted some important aspects of motivation from the point of view of the students, focusing mostly on the emerging challenges, how they have been overcome, and what the students have learned from them. The results indicate that the students, minimally supported by an academic teacher, were able to plan everything by themselves and bring the project to completion according to their own intuition. In comparison to before the COVID-19 pandemic, students are now more independent and self-motivated.

Safety-risk assessment system for prefabricated building construction in China

PurposePrefabricated building (PB) uses factory production and onsite assembly, which differs from traditional construction methods. This special construction approach may lead to dissimilar safety risks and challenges. Traditional safety assessment methods may not adequately and accurately assess the safety risks of PB construction. This paper aims to develop a new concept and methodology for targeted improvement in assessing PB safety risks.Design/methodology/approachRisk factors and indicators were established based on literature review and expert inputs. A structural equation model (SEM) was developed to investigate the relationships among three main risk categories: objects, workers and management. SEM analyzed the intricate associations between indicators and deepened understanding of safety risks. The model was tailored for China’s PB construction projects to enhance safety-risk management.FindingsThe cloud model evaluation validated the SEM model. A PB case study project tested and verified the model, evaluated its efficacy and quantified its safety performance and grade. We identified significant safety risk impacts across the three risk categories, safety-control level and specific areas that require improvement. The SEM model established a robust safety evaluation indicator system for comprehensive safety assessment of PB construction.Practical implicationsPractical recommendations provide valuable insights for decision-makers to enhance construction efficiency without compromising safety. This study contributed to the conceptual foundation and devised a novel method for evaluating safety performance in PB construction for safer and more efficient practices.Originality/valueThis study departed from the traditional method of calculating weights, opting instead for the SEM method to determine the weights of individual risk indicators. Additionally, we leveraged the cloud model to mitigate the influence of subjective factors in analyzing questionnaire survey responses. The feasibility and reliability of our proposed method were rigorously tested and verified by applying it to the PB case.

Sustainability assessment of urban water public‐private partnership projects with environmental, social, and governance (ESG) criteria

AbstractWith the acceleration of urbanization, the sustainability of urban water infrastructure projects has become pivotal to social development. This research aims to construct a comprehensive sustainability assessment model for urban water public‐private partnership (PPP) projects based on the environmental, social, and governance criteria. First, a multi‐level assessment indicator system is established considering the economic, social, ecological, and governance sustainability dimensions. Then, the extended analytic hierarchy process is utilized to determine the weights of indicators based on expert scoring. To address the ambiguity of qualitative linguistic variables, the interval‐valued intuitionistic fuzzy set method is applied to aggregate expert assessments. An empirical case study of an urban water project verifies the feasibility of the proposed approach. Results demonstrate that experts emphasize economic sustainability, while social sustainability is an overlooked dimension that requires improvement. The research contributes to the field by developing an applied, industry‐specific sustainability evaluation model for urban water PPP projects using advanced decision‐making techniques. This model provides practical tools for stakeholders to enhance the sustainable performance of urban water infrastructure projects.

Factors Affecting the Timely Construction of National Pride Projects of Nepal: A Case Study Of KTFT Road Project

Factors Affecting the Timely Construction of National Pride Projects of Nepal: A Case Study Of KTFT Road Project

Practical considerations for numerical simulation of large-diameter monopiles for offshore wind turbines in overconsolidated sand: A case study of the VIBRO project in Cuxhaven, Germany

Monopiles are typically the preferred foundation for offshore wind turbines, which are becoming increasingly large. While 3D finite element modelling can aid the design process of monopile foundations, achieving reliable results requires precise constitutive soil models and input parameters derived from laboratory and field data, as well as careful consideration of soil sample preparation method. This study explores various soil preparation methods, including moist tamping, dry tamping, and air pluviation, along with two sample ratios (1 and 2) during triaxial tests. It uses an advanced soil model, the DeltaSand model, and a practical industry model, the Hardening Soil model with small strain (HSsmall). To evaluate model performance, the Vibro project performed in Cuxhaven, Germany, is used as a case study. Simulations using the DeltaSand model show good agreement with field data. The effects of soil preparation methods and sample ratios are more pronounced in HSsmall model simulations, in which better results are obtained when the model is calibrated using dry tamping data and a sample ratio of one.

Innovations in Wind Turbine Blade Engineering: Exploring Materials, Sustainability, and Market Dynamics

This manuscript delves into the transformative advancements in wind turbine blade technology, emphasizing the integration of innovative materials, dynamic aerodynamic designs, and sustainable manufacturing practices. Through an exploration of the evolution from traditional materials to cutting-edge composites, the paper highlights how these developments significantly enhance the efficiency, durability, and environmental compatibility of wind turbines. Detailed case studies of notable global projects, such as the Hornsea Project One, the Gansu Wind Farm, and the Block Island Wind Farm, illustrate the practical applications of these technologies and their impact on energy production and sustainability. Additionally, the manuscript examines the critical role of regulatory frameworks and industry standards in fostering these technological advancements, ensuring safety, and promoting global adoption. By analyzing the current trends and future directions, this study underscores the potential of modern turbine technologies to meet the increasing global demand for renewable energy and contribute to sustainable development goals. The findings advocate for continued innovation and policy alignment to fully harness the potential of wind energy in the renewable energy landscape.

A physics-constrained neural network for predicting excavation-induced ground surface settlement in clay

Accurate prediction of ground surface settlement (GSS) adjacent to an excavation is important to prevent potential damage to the surrounding environment. Previous studies have extensively delved into this topic but all under the limitations of either imprecise theories or insufficient data. In the present study, we proposed a physics-constrained neural network (PhyNN) for predicting excavation-induced GSS to fully integrate the theory of elasticity with observations and make full use of the strong fitting ability of neural networks (NNs). This model incorporates an analytical solution as an additional regularization term in the loss function to guide the training of NN. Moreover, we introduced three trainable parameters into the analytical solution so that it can be adaptively modified during the training process. The performance of the proposed PhyNN model is verified using data from a case study project. Results show that our PhyNN model achieves higher prediction accuracy, better generalization ability, and robustness than the purely data-driven NN model when confronted with data containing noise and outliers. Remarkably, by incorporating physical constraints, the admissible solution space of PhyNN is significantly narrowed, leading to a substantial reduction in the need for the amount of training data. The proposed PhyNN can be utilized as a general framework for integrating physical constraints into data-driven machine-learning models.