Learning from experience to improve future infrastructure public-private partnerships is a focal issue for policy makers, financiers, implementers, and private sector stakeholders. An extensive body of case studies and “lessons learned” aims to improve the likelihood of success and attempts to avoid future contract failures across sectors and geographies. This paper examines whether countries do, indeed, learn from experience to improve the probability of success of public-private partnerships at the national level. The purview of the paper is not to diagnose learning across all aspects of public-private partnerships globally, but rather to focus on whether experience has an effect on the most extreme cases of public-private partnership contract failure, premature contract cancellation. The analysis utilizes mixed-effects probit regression combined with spline models to test empirically whether general public-private partnership experience has an impact on reducing the chances of contract cancellation for future projects. The results confirm what the market intuitively knows, that is, that public-private partnership experience reduces the likelihood of contract cancellation. But the results also provide a perhaps less intuitive finding: the benefits of learning are typically concentrated in the first few public-private partnership deals. Moreover, the results show that the probability of cancellation varies across sectors and suggests the relative complexity of water public-private partnerships compared with energy and transport projects. An estimated $1.5 billion per year could have been saved with interventions and support to reduce cancellations in less experienced countries (those with fewer than 23 prior public-private partnerships).
Hybrid learning (HL) has become a significant part of the learning style for the higher education sector in the Sri Lankan context amidst the COVID-19 pandemic and the subsequent economic crisis. This research study aims to discover the effectiveness of hybrid learning (EHL) practices in enhancing undergraduates’ outcomes in Sri Lankan Higher Educational Institutions (HEIs) management faculties. The data for the study were gathered through an online questionnaire survey, which received 379 responses. The questionnaire contained 38 questions under four sections covering independent variables, excluding demographic questions. The results indicate that hybrid learner attitude, interaction, and benefits of hybrid learning positively impact the effectiveness of hybrid learning. The results remain consistent even after controlling for socio-demographic factors and focusing only on students employed during their higher education. The study concluded that employed students have a higher preference for the effectiveness of hybrid learning concepts, and the benefits of hybrid learning play a crucial role in enhancing the effectiveness among undergraduates. The study analyzes COVID-19’s impact on higher education, proposing hybrid learning and regulatory frameworks based on pandemic experiences while stressing the benefits of remote teaching and research.
Urban public spaces are the interface of any city that could tell about the city’s dynamic and status quo. In addition, Urban public spaces play a pivotal role in shaping societies’ dynamics and can significantly affect conflict and peacebuilding initiatives. In a context marked by Conflict’s profound impact, this article aims to contribute to the knowledge base for informed urban interventions that foster positive interactions and reconciliation in post-conflict cities. The article seeks to explore the intricate relationship between urban spaces and their influence on war or to promote sustainable peacebuilding through investigating the various roles of the urban public spaces during the war and peacetimes via residents’ experiences of the diverse spaces’ functions that shaped the city’s status quo. In addition, considering the interplay of social dynamics, conflict history, and the mental spatial map of cities in public urban spaces can influence lasting peace or upcoming conflicts. This article focuses on Aleppo as a case study, understanding the positive and negative experiences from the residents’ perspective before and during the current war in Syria, and even distinguishes between two periods during the recent war, which are the active violence and after the end of the direct active violence, where it could inform the decision-makers and urban planners on the areas of focus while developing post-war urban public spaces to ensure its positive role in fostering peace and be able to deal with the social dynamic and the mental spatial map that developed along with the conflict history. The paper utilised a mixed-methods approach, encompassing a case study review of Aleppo City from an urban perspective and fieldwork involving focus group discussions and semi-structured interviews with Aleppian from different backgrounds and geographic areas that represent the social dynamic of the city, as well as approached Aleppian who are still in living in the city and those who flee out of it to ensure the coverage of different political direction in addition field work engaged with academia and technical from the city who shared their knowledge and experiences working in the city. Participants were prompted to reflect on their pre-war familiarity with public places and share their experiences. These experiences were categorized by enabling a comprehensive understanding of how conflict context influenced these spaces. The article results offer an understanding of the peace-guiding functions of the urban public spaces based on the city residents’ experiences that could inform architects and urban planners in designing spaces conducive to sustainable peacebuilding. The article’s findings underscore the importance of strategically designed urban public spaces in promoting peace and social cohesion.
In recent times, there has been a surge of interest in the transformative potential of artificial intelligence (AI), particularly within the realm of online advertising. This research focuses on the critical examination of AI’s role in enhancing customer experience (CX) across diverse business applications. The aim is to identify key themes, assess the impact of AI-powered CX initiatives, and highlight directions for future research. Employing a systematic and comprehensive approach, the study analyzes academic publications, industry reports, and case studies to extract theoretical frameworks, empirical findings, and practical insights. The findings underscore a significant transformation catalyzed by AI integration into Customer Relationship Management (CRM). AI enables personalized interactions, fortifies customer engagement through interactive agents, provides data-driven insights, and empowers informed decision-making throughout the customer journey. Four central themes emerge: personalized service, enhanced engagement, data-driven strategy, and intelligent decision-making. However, challenges such as data privacy concerns, ethical considerations, and potential negative experiences with poorly implemented AI persist. This article contributes significantly to the discourse on AI in CRM by synthesizing the current state, exploring key themes, and suggesting research avenues. It advocates for responsible AI implementation, emphasizing ethical considerations and guiding organizations in navigating opportunities and challenges.
Climate change has affected the coasts of the world due to numerous factors, including the change in the intensity and frequencies of the storms and the increase in the mean sea level, among others. Argentina has extensive coastal areas, and research and monitoring tasks are expensive and require a significant number of personnel to cover large geographical areas. Given this, citizen science has become a tool to increase scientific research's spatial and temporal extension. Therefore, the paper aims to analyze the methodology and development of the citizen science project in Villa Gesell and its lessons for applying them in future coastal environmental monitoring projects. The methodology was based on an experience of the project co-created between activists and researchers. This project included four phases for social and physical aspects: training for the citizens, theoretic and practical aspects of coastal dynamics, and how to measure its geomorphological and oceanographic variations; data collection: the activists who received the training performed the measurements to monitor the beach; data analysis by scientists; and dissemination of results; the report data were disseminated by citizens in their community. The analysis of case studies in citizen science projects generates a fundamental learning arena to apply in future projects. Among the positive aspects were the phases established for their development and the methodology used to collect beach monitoring data.
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