Successful Collaboration Research Articles

Collaborative learning in translation crowdsourcing to enhance conditional knowledge: from individual to collective wisdom

ABSTRACT This research examines how collaborative learning in translation crowdsourcing environments enhances students’ conditional knowledge and associated metacognitive regulation. The study incorporated the Global Voices Lingua project into an undergraduate translation course, employing a structured intervention where senior students worked in mixed-ability triads. Through a four-step collaborative process, participants first completed individual Chinese translations of English news articles, documenting their problem-solving and decision-making processes. They then participated in recorded group discussions to address shared and individual translation challenges. Quantitative and qualitative analyses revealed significant improvements in situational awareness through collaborative efforts, with 31% of contextualised problems and 53% of decontextualised problems demonstrating increased awareness post-collaboration. The analysis of group interactions highlighted that successful collaborations were predominantly marked by shared (50%) and co-constructed (37.3%) interactions. Groups with balanced participation and flexible leadership roles, particularly when addressing complex textual elements, exhibited superior problem-solving abilities and deeper metacognitive awareness. Moreover, the findings revealed a notable shift from monitoring-based to evaluation-centric approaches in metacognitive strategy use, illustrating how authentic translation tasks can foster sophisticated decision-making. These insights provide valuable implications for designing collaborative activities in translation education and enhancing understanding of group dynamics in professional translation practice.

Higher Education and the screen industries in the UK: the need for authentic collaboration for student progression and the talent pipeline

ABSTRACT The relationship between the UK’s screen industries and its Higher Education Institutions (HEIs) is frequently claimed to be important for creating a sustainable talent pipeline for this sector. Yet little significant advancement has been made over many years. This position paper explores the persistent barriers to effective partnership, identifying and expounding six myths that undermine progress in this area. These are that: ‘universities exist primarily to serve the needs of employers’; ‘the screen industries do not require a graduate workforce’; ‘media work specifically requires media graduates’; ‘the value of a media degree is determined by how well it prepares students for entry-level media jobs’; ‘practice-based and “practical” courses exist to produce “set-ready” graduates for specific industry roles’; and ‘universities are a barrier to industry diversity’. The authors deconstruct each of these in turn arguing that they represent fundamental misunderstandings about the nature of these sectors. Successful collaboration must be built on mutual respect and understanding between HEIs and industry, recognising their distinct roles. The article concludes by posing questions about how to develop a sustainable, national vision for effective collaboration, acknowledging the need for local initiatives and recognising systemic issues within the industry's current employment model.

Integrated approaches to sustainable urban development: the synergy between landscape architecture and civil engineering

This research study addresses the developing synergy between landscape architecture and civil engineering in the context of sustainable urban development. The study intends to analyze how these multidisciplinary professions might collectively handle urban difficulties while assuring long-term environmental, social, and economic sustainability. Using the PRISMA technique, the study thoroughly reviewed secondary data from the Scopus database, identifying 23 relevant publications published between 2015 and 2024. The study outlines major integration techniques, obstacles, and emerging trends that impact the cooperation between various disciplines. The results emphasize major impediments to successful multidisciplinary collaboration, including policy fragmentation, inadequate cross-disciplinary education, and technology adaption issues. Additionally, the research underlines the significance of merging theoretical frameworks and practical case studies to increase the knowledge of integrated urban development techniques. By offering a comprehensive examination of the literature, this study adds to a greater knowledge of interdisciplinary urban planning solutions and gives significant insights for policymakers, academics, and practitioners working toward resilient and adaptable urban environments.

Artificial Intelligence in Construction: Multi-Stakeholder Strategies for Future Development

ABSTRACT While playing a vital role in global infrastructure development, the construction sector continues to grapple with issues of inefficiency, resource mismanagement, and environmental impact. Artificial intelligence (AI) has emerged as a transformative force with the potential to revolutionize construction practices. However, successful integration of AI requires a collaborative effort across various stakeholders. This research explores the multi-stakeholder dynamics of AI adoption in construction, analyzing the potential benefits, challenges, and key strategies for fostering successful collaboration. By examining existing literature and conducting a survey amongst key stakeholders, this study aims to contribute to a comprehensive understanding of how AI, coupled with a multi-stakeholder approach, can unlock a more productive, sustainable, and future-proof construction industry.

Power dynamics and intersectoral collaboration for health in low and middle income countries: A realist review

Abstract Intersectoral collaboration (ISC) is a critical strategy in global health for addressing complex challenges requiring multi-sectoral engagement. While studies examined ISC in Low- and Middle-Income Countries (LMICs), gaps remain in understanding how power dynamics between stakeholders influence the effectiveness of ISC in these settings. This realist synthesis examines how, why, for whom, under what context and to what extent power dynamics shape ISC in LMIC health programmes and policies, offering insights crucial for improving health policy implementation. Five Initial Programme Theories (IPTs) were developed through a scoping review, document analysis, and qualitative study. A systematic search of Medline, Embase, CINAHL, Web of Science, and grey literature (2012–2023) yielded 2,850 records, with 23 included after screening. This period was chosen to capture contemporary shifts in ISC, following the 2012 UN Political Declaration on NCDs and the WHO’s 2013 Health in All Policies (HiAP) framework, which strengthened multi-sectoral governance in LMICs. It also builds on prior reviews, ensuring an up-to-date synthesis of power dynamics in ISC. Data were synthesized using the Context–Mechanism–Outcome framework, generating demi-regularities to refine Programme Theories (PTs). Findings reveal that power imbalances frequently manifest through hierarchical governance structures, resource disparities, and historical inequities, shaping ISC outcomes. Six refined PTs highlight: (1) Inclusive policy development processes mitigate power asymmetries but require intentional facilitation to prevent marginalization of less dominant sectors. (2) Leadership commitment and shared goal alignment enhance collaboration, yet competing institutional priorities often reinforce power struggles. (3) Equitable resource allocation acts as both a catalyst for trust and a source of conflict, with donor influence exacerbating dependency dynamics. (4) Hierarchical communication norms in LMICs undermine transparency, though informal interpersonal networks can circumvent bureaucratic barriers. (5) Ambiguity in roles and mandates amplifies power vacuums, enabling dominant actors to disproportionately influence agendas. Additionally, a sixth Programme Theory emerged: (6) Sustained interpersonal relationships counterbalance structural power imbalances, fostering accountability and adaptive problem-solving. These findings demonstrate that power dynamics in ISC within LMICs are mediated by both structural factors (e.g., funding models, institutional hierarchies) and relational mechanisms (e.g., trust, negotiation). Successful collaboration hinges on recognising and addressing these dual dimensions of power. This synthesis advances theoretical and practical understanding of ISC, offering policymakers actionable insights to navigate power-related challenges in intersectoral health initiatives.

Value Pathways in Emergent Programs: Tackling Grand Challenges in the Swedish Transportation Industry

Grand challenges call for innovation and collaboration across sectors. Yet, many cross-sector and multi-stakeholder initiatives often fall short of achieving their intended goals, and creating the expected value. Addressing this issue requires a better understanding of how to develop and design emergent multi-stakeholder programs with actual societal value. This article leverages an in-depth case study of Sweden’s High-Capacity Transport program to develop a process model that demonstrates how three interconnected value pathways—goal gearing, participatory engagement, and program leveraging—ensured the gradual expansion of program goals and of interest among diverse participants who enhanced collective value creation and contributed to the success of this multi-stakeholder collaboration.

The 43rd Vernon-Wall Lecture: What working relationally brings to problem-solving.

Responses to complex problems demand collaboration across practice boundaries. The studies presented here make visible the processes that constitute successful collaborations between practitioners and clients. Complex problems can be discovered, where practitioners recognize and address complexity through an existing repertoire of responses. Or they are created problems, where researchers reveal new phenomena and create new knowledge. That knowledge can then be used to inform responses to discovered problems. The research on created problems discussed here asked: What happens at the intersection of practices during work on complex problems; how are motives aligned to expand and respond to the problem; and what kind of expertise is involved? The discovered problems were in: pedagogic work with parents in a daycare centre, the development of an app to support autistic people in the workplace and an evaluation framework examining interprofessional working. New knowledge, arising in studies of emergent interprofessional working in English children's services, explains how working relationally can strengthen responses. The three relational concepts are based in cultural-historical approaches to human development. They are: relational expertise, which builds common knowledge, comprising the motives of participants, which mediates collaborations, creating relational agency. Relational agency then strengthens the actions taken by practitioners and clients. The relational concepts offer guidance for training practitioners in interprofessional working and in building the agency of clients. They offer researchers a framework for examining collaborations and show how cultural-historical research methods capture concepts in practitioners' actions.

The importance of contextually specific support relationships in implementing programs to link people to medication for opioid use disorder (MOUD) treatment during reentry from county jails

BackgroundThis study uses the Practical, Robust, Implementation, and Sustainability Model (PRISM) and Reach, Effectiveness, Adoption, Implementation, and Maintenance (RE-AIM) model to describe how features of jail contexts are associated with the number of people linked to medication for opioid use disorder (MOUD) and sustainment of jail linkage programs implemented in Wave 1 of the HEALing Communities Study in Kentucky (HCS-KY) from 2021 to 22. The HCS-KY is part of a parallel-group, cluster-randomized wait-list controlled trial examining the effects of supporting wide-scale implementation of evidence-based practices to reduce opioid overdose deaths. One strategy involved implementation of MOUD linkage programs within five Kentucky county jails. Minutes from program planning and maintenance meetings led by HCS-KY implementation facilitators with linkage staff/supervisors and jail liaisons/partners (average of five participants/meeting) were coded following PRISM-RE-AIM using template analysis to understand variations in participation across sites as well as barriers to and facilitators of MOUD linkage implementation.ResultsAcross the five jails, 277 participants met with linkage staff during and/or post-incarceration for 1,119 visits conducted in-person or via phone/video conference. Twenty-six participants linked to community-based MOUD treatment during the implementation period. Participation differed across sites based on jail and linkage staff utilization of implementation support strategies but did not affect program sustainment, which all jails pursued in some form. Qualitative analysis yielded four overarching themes characterizing jail linkage program implementation. First, program integration into jail infrastructure entailed navigation of jail facilities and technologies as well as legal factors surrounding linkage staff backgrounds and information-sharing. Second, adapting the intervention to site-specific needs required providing training and implementation support to jail and linkage staff tailored to each jail context. Third, facilitating inter-organizational and cross-system coordination was related to collaboration successes and challenges among the HCS-KY team, linkage staff, the courts, and other provider partners. Finally, staffing and legal factors influenced sustainment.ConclusionsOnly ~ 10% of participants linked to community-based MOUD despite intensive implementation support, yet jails highly valued the program and planned for sustainment. Given the complexities in postponing treatment initiation until reentry, we call for simultaneous efforts to integrate MOUD screening and treatment into jail booking processes.

Exploring the Impact of English Language Proficiency on Business Communication Effectiveness: A Comprehensive Research Analysis

In the modern world, the value of English can't be emphasized. It is the world's most commonly spoken international language and the main language of international business. Knowing global languages, particularly English, is vital for Pakistan to deal with the issues and opportunities that come with the free market. Proficiency in English enables them to efficiently communicate with the South Asian Association for Regional Corporation, European Union Countries, and other Economic Communities. In the business sector, English is the global language, allowing for simple communication and successful collaboration across various investors. Communication is essential in business processes; without it, the relationship between manufacturers, suppliers, and customers weakens, resulting in decreased entrepreneurial performance. English is an essential second language for business and communication. It emphasizes the need for persons and organizations to develop English skills in order to navigate the complexity of the global economy, improve intercultural communication, and achieve commercial objectives. The study emphasizes that English proficiency not only helps improve prospects for employment and professional development but also strengthens business relations and improves overall operational efficiency. The paper examines the role of English in internal and external business communication and advocates its importance in creating competitive advantages and encouraging successful entrepreneurial enterprises in an increasingly interconnected world. Learning English enables us to clearly interact with foreign business partners and connect with us all around the world.

Teachers and Parents Together in Prevention of Emotional and Behavioral Problems in Children: Opportunities and Challenges

ABSTRACT The prevention of emotional and behavioral problems (EBP) in preschool children requires the development of a collaborative process between parents and teachers. The basic principles of successful collaboration between teachers and parents include a cooperative, non-judgmental and non-stigmatizing approach to parents and children, as well as equal consideration of risk and protective factors. This paper analyzes the possibilities of preventing EBPs in preschool children in the Croatian ECEC system. An explanatory sequential research design was chosen. The behavior of 2,645 children (aged 5–7 years, 50.9% boys and 49.1% girls) was assessed by teachers and mothers using the Child Behavior Assessment Scale. In addition, 42 teachers took part in structured interviews. The K-Means cluster analysis included 15.56% of the children in the group of children assessed by the teachers as at risk for developing EBP and as many as 37.07% of the children assessed by the mothers. The Cohen-Kappa coefficient (κ) values show that the agreement between mothers and teachers in the assessment of children's EBP is low. The results suggest that there are good practices in Croatian ECEC for quality collaboration between parents and teachers to prevent EBP in children, but they are not standardized and not accessible for all children. The results underline the importance of the preventive role of the Croatian ECEC system. The research found that current pedagogical practices are inconsistent and that teachers' skills in preventive measures need to be further developed, as the lack of successful cooperation with parents severely impairs the ability to prevent negative child development.

Exploring the factors influencing employees’ intention to work with service robots in restaurants: an fsQCA approach

ABSTRACT Collaboration between robots and humans is no longer science fiction; it is gradually becoming a reality and is poised to revolutionize the hospitality industry. However, many employees see robots as a threat to their job security and are reluctant to accept them as coworkers. The current study delves into this complex phenomenon by examining the interplay between drivers, barriers, and employees’ characteristics in determining employees’ intention to work with service robots in the restaurant setting. Fuzzy-set qualitative comparative analysis (fsQCA) was employed to analyze data from a survey of 102 staff members working in Malaysian restaurants that are expected to introduce service robots in the near future. The results identified four pathways that lead to a high intention among employees to work with service robots. The nuanced and informative insights yielded by this study’s findings will guide restaurateurs toward successful collaboration between human employees and robots.

PECULIARITIES OF THE LEGAL NATURE OF A JOINT ACTIVITY AGREEMENT IN THE FIELDS OF PUBLIC-PRIVATE PARTNERSHIP AND INNOVATION

The subject of the present study is the theoretical, methodological and applied provisions of legal regulation of joint activities and relations in the most economically promising areas, namely public-private partnerships and innovation. Methodology. The research process was informed by established scientific methodologies. Specifically, the dialectical method of cognition proved instrumental in elucidating the essence of the concept of public-private partnership. The analysis performed enabled the determination of the specifics of the legal regulation of contractual relations for the implementation of joint activities in the area of public-private partnerships and innovations. Synthesis was used to determine the legal characteristics of a joint activities agreement in the field of public-private partnership and innovations. Finally, the method of deduction was used to substantiate the feasibility and effectiveness of applying the joint activities agreement structure in the investigated areas. The objective of the present article is to ascertain the particularities of implementing a joint activities agreement for the purpose of regulating legal relations in the most promising socio-economic domains, namely public-private partnerships and innovations. The findings of the research have demonstrated that joint activity agreements have the potential to serve as a pivotal instrument for ensuring expeditious and efficacious collaboration among the various participants involved in the restoration process, particularly those engaged in public and private legal relations. In contexts where traditional business and partnership models may prove challenging or hazardous due to the prevailing conditions of war, the utilisation of joint activities has been shown to mitigate risk and streamline project management by leveraging the resources and expertise of businesses, governments, and international partners. Conclusion. It has been established that the expediency of widespread application of the structure of a joint activities agreement in the field of public-private partnership is obvious, especially in the context of Ukraine's post-war reconstruction and implementation of its European integration aspirations. This contract structure facilitates the effective pooling of resources from both state and private companies, thereby enabling the addressing of complex economic and social challenges. It enables the state to attract investments, innovative technologies and private sector expertise while retaining control over strategic development directions. Consequently, private partners are granted access to substantial state projects, thereby facilitating business development and the creation of new employment opportunities. It has been determined that the effective implementation of innovation activities necessitates not only the presence of progressive ideas and highly qualified scientific potential, but also the existence of adequate legal regulation that ensures the practical realisation of these ideas. In the context of rapid technological changes and high competition in the innovation market, a key instrument for ensuring successful collaboration between government agencies, the private sector and research institutions is the formulation of a joint activities agreement. The establishment of such an agreement facilitates the delineation of the terms of partnership, the distribution of rights and obligations, the financing procedures, and the mechanisms for protecting intellectual property and commercialising scientific achievements.

77 Best practices for data management and metadata creation for collaborative biostatistics teams

Objectives/Goals: Our goal is to enhance communication and documentation in collaborative biostatistics by refining data management and metadata processes. We aim to capture critical data collection and generation information, improve transparency and reproducibility, and foster stronger researcher partnerships for more effective collaborations. Methods/Study Population: Traditional statistical analysis plans (SAP) often miss essential contextual knowledge from collaborators, leading to gaps that hinder reproducibility and limit future data use. Biostatistics teams at the University of Kentucky have updated their strategies to better capture important details about data origins and collection processes. By focusing on clear, comprehensive documentation early in the research process, we aim to preserve foundational data insights and improve collaboration efficiency. Our Biostatistics, Epidemiology, and Research Design (BERD) team has established best practices for addressing data management structures with collaborators across medical and healthcare fields – covering all project stages, from initial data collection to metadata creation and dataset finalization. Results/Anticipated Results: We will detail the processes used to improve data management structures and the observed results of these processes. For example, initiating deeper discussions about data origins and collection processes as early as possible in the collaboration has resulted in a more comprehensive project narrative that lays the foundation for effective collaboration. By engaging with project leaders early in the process, we can confirm that critical details about how data were collected and processed are documented, improving both the transparency and reproducibility of research findings. Streamlining the processes of capturing this information makes it more accessible and useful for those with limited statistical backgrounds, which is particularly relevant for faculty and staff in BERD communities and Clinical and Translational Science Awards Programs. Discussion/Significance of Impact: Nuanced data documentation structures are crucial for transforming raw data into meaningful, reusable datasets. Our initiatives promote clear communication, enhanced efficiency, and streamlined workflows. Translational science researchers can benefit from improving data management and metadata to boost long-term collaborative success.

Socially shared regulation of learning in workplace team meetings

PurposeThis study investigates socially shared regulation of learning (SSRL) in workplace team interactions to understand how professionals manage their learning processes during team meetings. It aims to identify what types of SSRL phases appear in workplace team interactions and which SSRL phases and team-regulation behaviors are associated with SSRL episodes that achieve small-scale adaptation.Design/methodology/approachA qualitative study grounded in socio-cognitive theory was conducted, using a combination of deductive and inductive qualitative content analysis. This approach integrated process mapping and descriptive analysis. The data were derived from 24 one-hour team meetings involving 10 workplace teams from the service, manufacturing and information and communications technology sectors.FindingsSSRL was present in the team meetings, and it supported the teams in recognizing and adapting to situated challenges. Team-regulation behaviors, such as posing questions and assessing solutions regarding specific actions, contributed to small-scale adaptation in the regulation of the learning process.Research limitations/implicationsThe study used video analysis and relied on its ability to capture the phenomenon. Furthermore, the small sample size, specific cultural context and the voluntary participation of the teams may have introduced bias into the findings.Practical implicationsThe findings can guide customized training programs to improve team learning and performance by focusing on key SSRL phases and team-regulation behaviors essential for adaptability.Originality/valueThe study uses video data from team meetings to explore SSRL and its impact on successful collaboration.

Cooperation of Law Enforcement Agencies with Other Departments in the Fight Against Criminal Offences at Critical Infrastructure Facilities of Ukraine

Introduction: This study focuses on the collaborative efforts between law enforcement agencies and other governmental bodies in Ukraine to combat criminal offences targeting critical infrastructure. The research evaluates how such cooperation influences crime prevention and response effectiveness, particularly from legal and institutional perspectives.Methods: The study utilizes a combination of qualitative and quantitative methodologies, including content analysis, network analysis, simulation modeling, and interviews with key agency representatives. This multi-method approach ensures a comprehensive assessment of interagency collaboration and its impact on infrastructure security.Results: The findings reveal significant challenges in communication between institutions, which hinder effective responses to threats like terrorism and cyberattacks. However, instances of successful collaboration through joint working groups and data-sharing initiatives highlight the potential for improved outcomes. The study underscores the necessity of enhancing legal frameworks and institutional mechanisms to facilitate better coordination.Conclusions: Future research should explore the integration of advanced technologies, such as artificial intelligence and data analytics, to enhance coordination efficiency. Additionally, further analysis of international legal frameworks and cross-border collaboration is essential for strengthening Ukraine's capacity to protect critical infrastructure and develop robust security strategies.

An AI-Enabled Nursing Future With no Documentation Burden: A Vision for a New Reality.

To explore the potential of multimodal large language models in alleviating the documentation burden on nurses while enhancing the quality and efficiency of patient care. This position paper is informed by expert discussions and a literature review. We extensively reviewed nursing documentation practices and advanced technologies, such as multimodal large language models. We analysed key challenges, solutions and impacts to propose a futuristic multimodal large language model-driven model for nursing documentation. Multimodal large language models offer transformative capabilities by integrating multimodal audio, video and text data during patient encounters to dynamically update patient records in real time. This reduces manual data entry, enabling nurses to focus more on direct patient care. These systems also enhance care personalisation through predictive analytics and interoperability, which support seamless workflows and better patient outcomes. While predictive analytics could improve patient care by identifying trends and risk factors from nursing documentation, further research is required to validate its accuracy and clinical utility in real-world settings. Ethical, legal and practical challenges, including privacy concerns and biases in artificial intelligence models, require careful consideration for successful implementation. Transitioning to multimodal large language model-driven documentation systems can significantly reduce administrative burdens, improve nurse satisfaction and enhance patient care. However, successful integration demands interdisciplinary collaboration, robust ethical frameworks and technological advancements. Implementing multimodal large language models could alleviate professional burnout, improve nurse-patient interactions, and provide dynamic, up-to-date patient records that facilitate informed decision making. These advancements align with the goals of patient-centred care by enabling more meaningful engagement between nurses and patients. The problem being addressed is the administrative burden of nursing documentation. We suggest that multimodal large language models minimise manual documentation, enhance patient care quality and significantly impact nurses and patients in diverse healthcare settings globally.

Bridging the Generation Gap: Understanding Collaboration Challenges and Opportunities in Multigenerational Workplaces

This qualitative study employed a hermeneutic phenomenological approach study and explored how employees across generations perceived and experienced collaboration in the workplace. Five (5) participants were interviewed to understand their perspectives on generational stereotypes, communication challenges, and successful collaboration. Participants identified stereotypes regarding technology use, work ethic, and career commitment across generations. However, they also recognized the potential for collaboration and learning from each other's strengths. Linguistic barriers, communication style differences, and emotional responses were reported as hurdles to effective communication. The study highlighted the need for empathy, adaptability, and understanding to bridge these gaps. Participants reported positive experiences from working in diverse teams. Integrating new ideas, embracing change, and leveraging the expertise of each generation can lead to innovation, knowledge sharing, and organizational success.

Global availability of critical reagents for biologicals testing - Current status, challenges and possible solutions.

Global availability of critical reagents for biologicals testing - Current status, challenges and possible solutions.

Enhancing Nutrition and Obesity Research Collaborations across Institutions: Lessons from a North Carolina Focus Group.

Enhancing Nutrition and Obesity Research Collaborations across Institutions: Lessons from a North Carolina Focus Group.

Bridging Borders: Evaluating Policy Innovations for Strengthening HIV/AIDS Research Collaboration in African Nations

HIV/AIDS remains a critical public health issue in Africa, where the epidemic’s impact is disproportionately felt, especially in sub-Saharan Africa. Despite progress in treatment and prevention, significant challenges persist, including high infection rates, stigma, and limited healthcare infrastructure. Regional collaborations in HIV/AIDS research have shown promise in addressing these issues by pooling resources, expertise, and infrastructure across borders. However, barriers such as inadequate funding, fragmented policies, and regulatory inconsistencies hinder the effectiveness of these collaborations. This review evaluates innovative policies aimed at strengthening HIV/AIDS research collaboration among African nations, focusing on harmonizing policies, enhancing funding mechanisms, building research capacity, and leveraging technology to address logistical challenges. Through case studies of successful collaborations, the review identifies strategies for overcoming barriers and promoting sustainable, regionally-led HIV/AIDS research. The findings suggest that fostering intra-African partnerships and strengthening local research ecosystems can accelerate progress toward controlling the epidemic, improve the equity of global health research, and contribute to the development of context-specific, scalable interventions. Keywords: HIV/AIDS, Africa, research collaboration, policy innovation.