Collaborative Model Research Articles

An Instrumental Case Study of Blended Preservice Early Childhood Preparation

Blended and other collaborative models of early childhood personnel preparation center on the belief that they can improve the quality and availability of inclusive services for children with diverse abilities and their families. Little is known, however, as to their relative efficacy to impact the inclusive practice of graduates. Further, current understanding of this approach is complicated by a lack of common terminology, conceptions, and a dated, primarily descriptive literature base. To provide a contemporary empirical contribution, we applied a conceptual framework derived from activity systems theory coupled with a research framework for collaborative models to examine one preparation program as a system through qualitative case study. Findings outline parameters of practice specific to collaborative program dimensions, elements of harmony and tension within the system, and cultural tools specific to the program’s attempts to meet its desired outcome. Implications for current and future collaborative early childhood personnel preparation are discussed.

Towards sustainable food systems: a review of governance models and an innovative conceptual framework

AbstractTo accelerate the transition towards inclusive, ecological, just and economically viable food systems, insights into appropriate governance models and principles are needed. This article aims to understand how food system governance is linked to and can contribute to sustainability. A review of 34 articles addressed food system governance, sustainability, current barriers and potential solutions. Some authors propose new, participatory, collaborative and democratic governance models to achieve a sustainable food system transition. Other authors consider a lack of integrated policies across sectors and siloed governance major barriers to holistic sustainability agendas and food system approaches. Three main elements of governance emerged from the reviewed literature: (i) interactions between actors, (ii) control and power balances, and (iii) (in)formal rules. Our analysis provides a fourth element: the orchestration of (multiple) food systems and policies. These four elements are integrated into a novel conceptual framework for consistently researching food systems governance for sustainability. The latter is now defined as ‘the continuous process of orchestration of policies and (multiple) food systems consisting of diverse interacting actors, respecting (in)formal rules and striving to provide food for all, in equitable and environmentally-friendly ways, at any time and in any context’.

Establishment of a Brain Tumor Consortium of Africa: Advancing Collaborative Research and Advocacy for Brain Tumors in Africa

Abstract Background Brain tumors represent a significant global health challenge, with rising incidence and mortality impacting individuals worldwide and contributing to cancer-related morbidity and mortality. In Africa, this burden is exacerbated by limited access to advanced diagnostics, treatment options, and multi-disciplinary care, compounded by the absence of standardized cancer registration and tumor biobanking. The introduction of molecular diagnostics, as outlined in the 2021 WHO CNS tumor classification, adds complexity to brain tumor management, particularly in regions with scarce resources. Methods To address these issues, the Brain Tumor Consortium for Africa (BTCA) was established in 2023, bringing together experts to improve CNS tumor diagnosis, patient care, and research. The initial project, conducted via an electronic questionnaire, aimed to assess neuro-oncology capacity across SSA. Results The study revealed significant gaps, with a limited number of institutions incorporating molecular subtyping into their diagnostic algorithms. The consortium’s efforts focus on enhancing local data use, informing public policy, and promoting collaboration to advance neuro-oncology practices in Africa. By fostering a network enlisting the expertise of collaborators in the field of neurosurgery, neurology, neuropathology, anatomic pathology, and medical and radiation oncology, the BTCA seeks to improve brain tumor management through better diagnostics, infrastructure and policy advocacy. Future directions include expanding molecular diagnostic capabilities, standardizing brain tumor biobanking, enhancing data collection, and advocating for improved brain tumor care in national health agendas. Conclusion The BTCA represents a pioneering model of collaboration and innovation in addressing the unique challenges of brain tumor care in Africa.

Recognition of Effective Co-Teaching Practices by Interdisciplinary Pre-Service Candidates

This study investigates the degree to which pre-service interdisciplinary groups of undergraduate education candidates recognize co-teaching skills and behaviors in practice. With the increasing emphasis on collaborative teaching models in contemporary educational settings, understanding how future educators perceive and identify effective co-teaching practices is crucial for enhancing educational preparation programs (EPPs). Using a mixed-methods approach, this study analyzed consensus ratings from an interdisciplinary assignment that asked candidates to work collaboratively while identifying best practices in co-teaching across example and non-example videos. Both quantitative and qualitative data were collected using student ratings and videos of group discussion for consensus scoring. Quantitative data were collected using consensus ratings for each indicator on the observation checklist. Qualitative data derived from video transcripts of the consensus rating sessions illuminated the process each group used and reasons each group provided for consensus ratings. The findings reveal varying degrees of recognition and understanding of co-teaching skills, highlighting both strengths and areas for improvement in the candidates’ ability to identify and apply these practices. This study provides valuable insights into the preparedness of pre-service educators for collaborative teaching environments and offers recommendations for integrating co-teaching competencies more effectively into EPPs.

Self-Adaptive Alternating Direction Method of Multipliers for Image Denoising

In this study, we introduce a novel self-adaptive alternating direction method of multipliers tailored for image denoising. Our approach begins by formulating a collaborative regularization model that upholds structured sparsity within images while delving into spatial correlations among pixels. To address the challenge of penalty parameter influence on convergence speed, we innovate by proposing a self-adaptive alternating direction method of multipliers. This adaptive technique autonomously adjusts variable penalty parameters to expedite algorithm convergence, thereby markedly boosting algorithmic performance. Through a fusion of simulations and empirical analyses, our research demonstrates that this novel methodology significantly amplifies the efficacy of denoising processes.

Collaborative Care to Improve Quality of Life for Anxiety and Depression in Posttraumatic Epilepsy (CoCarePTE): Protocol for a Randomized Hybrid Effectiveness-Implementation Trial.

Anxiety and depression in people with epilepsy are common and associated with poor outcomes; yet, they often go untreated due to poor mental health specialist access. Collaborative care is an integrated care model with a strong evidence base in primary care and medical settings, but it has not been evaluated in neurology clinics. Evaluating implementation outcomes when translating evidence-based interventions to new clinical settings to inform future scaling and incorporation into real-world practice is important. The Collaborative Care for Posttraumatic Epilepsy (CoCarePTE) trial aims to evaluate the effectiveness (improvement in emotional quality of life) and implementation of a collaborative care intervention for people with anxiety or depressive symptoms and posttraumatic epilepsy. CoCarePTE is a 2-site, randomized, single-blind, hybrid type 1 effectiveness-implementation trial that will randomize 60 adults to receive either neurology-based collaborative care or usual care. Adults receiving neurological care at participating centers with anxiety or depressive symptoms and a history of at least mild traumatic brain injury before epilepsy onset will be enrolled. The collaborative care intervention is a 24-week stepped-care model with video or telephone calls every 2 weeks by a care manager for measurement-based anxiety and depression care, seizure care monitoring, and brief therapy intervention delivery. This is supplemented by antidepressant prescribing recommendations by psychiatrists for neurologists via case conferences and care manager-facilitated team communication. In step 2 of the intervention, individuals with <50% symptom reduction by 10 weeks will receive an added 8-session remote cognitive behavioral therapy program. The study is powered to detect a moderate improvement in emotional quality of life. As a hybrid type 1 trial, effectiveness is the primary focus, with the primary outcome being a change in emotional quality of life at 6 months in the intervention group compared to control. Secondary effectiveness outcomes are 6-month changes in depression, anxiety, and overall quality of life. Implementation outcomes, including fidelity, acceptability, feasibility, and appropriateness, are evaluated before implementation and at 3 months. The primary effectiveness analysis will compare changes in emotional quality of life scores from baseline to 6 months between the intervention and control arms using multiple linear regression modeling, adjusting for study site and using an intent-to-treat approach. Enrollment commenced in 2023, with modifications in the inclusion and exclusion made after the first 6 enrollees due to slow recruitment. Enrollment is expected to continue at least into early 2025. The CoCarePTE trial is novel in its use of a hybrid effectiveness-implementation design to evaluate an evidence-based mental health intervention in epilepsy, and by incorporating seizure care into a collaborative care model. If a significant improvement in emotional quality of life is found in the intervention group compared to usual care, this would support next step scaling or clinical implementation. ClinicalTrials.gov NCT05353452; https://www.clinicaltrials.gov/study/NCT05353452. DERR1-10.2196/59329.

Formative qualitative research to guide implementation of the Collaborative Care Model in a low-barrier HIV clinic

ABSTRACT Integrated behavioral healthcare interventions have increased access to care for people with behavioral health conditions in primary care settings. However, they have not been widely implemented in low-barrier HIV care settings where undertreated behavioral health needs remain high. We conducted a formative qualitative evaluation, using in-depth interviews with purposively selected stakeholders (n = 13) and patients (n = 16), to identify anticipated barriers and facilitators to integrating care for depression and opioid use disorder for people with HIV via the Collaborative Care Model at a low-barrier HIV clinic. Patients and stakeholders expressed their enthusiasm for the Collaborative Care Model based on its perceived relative advantage over the standard of care referral system. Availability of resources, practical concerns about perceived fit with low-barrier HIV care, and anticipated suitability given other behavioral health comorbidities and patients’ complex socioeconomic needs partially tempered stakeholder perceptions of appropriateness for the Collaborative Care Model. Patients and service delivery stakeholders were receptive to the Collaborative Care Model, but felt it was moderately appropriate in the context of low-barrier HIV care, which necessitated key adaptations to core model components to improve its contextual fit.

Abstract 4137665: Getting to the Heart of Stroke TM : A Novel American Heart Association Initiative Which Increases Identification of Stroke Etiology and Evidence-Based Post-Stroke Evaluation by Strengthening Cardiology and Neurology Collaboration

Background: Nearly one million individuals in the U.S. experience ischemic stroke annually and one-year recurrent stroke risk may exceed 10%. American Heart Association (AHA) Get-With-The-Guidelines-Stroke® Registry (GWTG-S) data suggests that up to 40% of stroke patients are discharged with an undocumented or cryptogenic etiology which may lead to suboptimal secondary prevention. Consequently, improved cardiology and neurology collaboration and evidence-based post-stroke evaluation may help identify stroke etiology, reduce recurrent stroke risk and improve outcomes. Methods: In 2022, the AHA, in collaboration with HCA Healthcare and HCA Healthcare Foundation, designed and launched Getting to the Heart Of Stroke TM (GTTHOS) in 10 HCA Healthcare comprehensive stroke centers to improve: 1) cardiology and neurology stroke care collaboration, 2) evidence-based post-stroke diagnostic evaluation and 3) assessment of social determinants of health and barriers to care. Components included a learning collaborative model, virtual performance improvement consultations, Plan-Do-Study-Acts, multidisciplinary teams, custom and existing GWTG-S metrics and performance improvement feedback. Results: Using existing and custom GWTG-S data, GTTHOS centers increased rates of documented stroke etiology (58.06% vs. 48.63%), while decreasing cryptogenic stroke rates (31.01% vs. 34.89%) and lack of a documented stroke etiology (10.93% vs. 16.48%) (all comparisons on discharge, follow-up vs. baseline, p&lt;0.0001). In addition, the use of evidence-based post-stroke diagnostic evaluation increased in GTTHOS centers, including intracranial vascular and carotid imaging, echocardiography, short-term and extended (surface, implantable) cardiac monitoring (Table). Conclusion: In this novel AHA GTTHOS initiative in patients with stroke, which includes improved cardiology and neurology collaboration, rates of identified stroke etiology increased, while cryptogenic stroke and lack of a documented stroke etiology decreased. Furthermore, evidence-based post-stroke diagnostic evaluation, including imaging, echocardiography and short- and long-term surface and implantable cardiac monitoring, increased. These findings may contribute to improved outcomes.

Integrating Nursing and Family Medicine: A Comprehensive Review of Interdisciplinary Approaches in Patient-Centered Care

This review explores the integration of nursing and family medicine in promoting patient-centered care through interdisciplinary approaches. Family medicine and nursing play complementary roles in primary healthcare, with nurses increasingly involved in collaborative efforts to address complex patient needs. This article examines current models of interdisciplinary collaboration, including team-based care and the Patient-Centered Medical Home (PCMH), and their impact on patient outcomes, cost-efficiency, and holistic care delivery. Additionally, the review highlights barriers to integration, such as role ambiguity, communication challenges, and institutional constraints, and offers strategies for overcoming these obstacles, including interdisciplinary training, supportive policies, and integrated health IT systems. Case studies of successful integration are presented, underscoring the practical benefits of collaborative care. The review concludes with implications for practice, suggesting that integrating nursing into family medicine enhances patient-centered care, especially in managing chronic conditions and preventive care. Further research is encouraged to establish best practices and policies that support effective interdisciplinary collaboration in primary care

Collaborative control framework at isolated signalized intersections under the mixed connected automated vehicles environment

AbstractThis study proposes a collaborative control framework under the mixed traffic environment of connected and automated vehicles and connected human‐driven vehicles, which can simultaneously optimize the signal timing, lane settings, and vehicle trajectories at isolated intersections. Initially, considering the dynamics of traffic demand and incompatible signals, we analyze the vehicle delay of each lane. Based on the delay analysis, the spatiotemporal resource collaborative optimization model of lane setting and signal timing is established to minimize the average delay. Subsequently, in the buffer zone, a graph‐theoretic‐based sorting and platooning model provides a clear and concise representation of the transformation process from the initial state to the target state of vehicles, enabling the platoon formation. Additionally, trajectory optimization is integrated into the collaborative control framework by the optimal control model and car‐following model in the passing zone. Simulation experiments and sensitivity analyses demonstrate the effectiveness of the proposed framework in reducing average vehicle delay, improving fuel consumption, and coping with changing traffic demand at intersections.

Impact of Collaborative Nursing Care on Health Outcomes of Mental Health Day Hospital Users: A Mixed Methods Study.

Given that recovery-oriented care focuses on empowering individuals with mental health challenges, collaborative care can be an effective tool for nurses in mental health day hospitals. To deepen knowledge about the impact of collaborative nursing care for improving health outcomes of mental health day hospital users. A sequential and transformative mixed methods study was designed. In the first phase of this mixed methods study, quantitative data were collected from 144 users of mental health day hospitals. In phase two, a group of users underwent an intervention based on collaborative nursing care, through participatory action research, and qualitative data were collected. Finally, quantitative data were again collected from all users. The users who participated in the intervention group improved quantitatively in terms of the quality of the therapeutic relationship. They also improved at different stages of the recovery process, thus the qualitative results confirmed that collaborative nursing care was an essential component in their recovery process. The findings highlight the critical role of collaborative nursing care in health outcomes. The therapeutic relationship was identified as a key factor in facilitating patient empowerment. The study supports implementing collaborative nursing care models in mental health settings to enhance patient outcomes. ClinicalTrials.gov identifier: NCT04814576.

Empowering primary care physicians in child and adolescent psychiatry: a needs assessment on collaborative care in Dubai

BackgroundChild and adolescent psychiatric disorders pose significant public health concerns necessitating prompt intervention. Primary care physicians (PCPs) play a critical role as initial points of contact, facilitating early detection, management, and referral of these conditions. In Dubai, integrating mental health services into primary care faces unique challenges, highlighting the need for systemic reforms and enhanced PCP training.ObjectiveThis study investigated perceptions, barriers, and systemic challenges encountered by PCPs in managing child and adolescent psychiatric conditions in Dubai’s primary care setting. It also assessed family physicians’ involvement and preparedness in this domain.MethodsUsing a mixed-methods approach, we conducted a survey among family physicians in Dubai Health facilities and analyzed patient data from family medicine clinics. The survey evaluated formal training, preparedness, encounter frequency, and referral patterns for psychiatric care in young patients. Qualitative insights from open-ended survey questions provided additional understanding of specific challenges.ResultsFindings revealed significant gaps in formal training, with only 33.3% of respondents trained in child and adolescent psychiatry during medical education, and 21.1% participating in Continuing Medical Education (CME). A majority (54.4%) of PCPs felt unprepared to manage psychiatric care in young patients. Patient data analysis showed a predominance of male patients (59.9%) and identified Autism Spectrum Disorder (43.1%) as the most common condition, emphasizing the reliance on specialized care through a high referral rate (63.1%). Major barriers included time constraints, limited psychiatric knowledge, resistance to mental health services, systemic and structural issues, communication challenges, and resource shortages.ConclusionEnhanced training and systemic reforms are urgently needed to integrate mental health services effectively into Dubai’s primary care. Implementing structured collaborative care models, fostering interdisciplinary collaboration, and addressing systemic barriers are crucial for improving child and adolescent psychiatric condition management. These initiatives promise better patient outcomes and more efficient healthcare resource utilization.

Community-Driven Health Promotion: Evaluation of a Rural Microgrant Program.

Microgrants for health promotion have the potential to engage communities in designing and implementing place-based interventions to improve health and social outcomes. However, the evidence base around microgrants for health promotion is limited. This study presents the evaluation of a health service-funded microgrant program for health promotion in rural Australia. The evaluation framework was developed through a participatory approach and involved collaborative logic model building and co-prioritized evaluation questions with health service staff and grant recipients. Evaluation questions focused on participation, short-term outcomes, and the perceived value of program activities. Qualitative methods (reflexive thematic analysis) were used to answer the evaluation questions. Data sources included semi-structured interviews with grantees (n = 11) and the health service's health promotion team (n = 4), electronic field notes kept by the health promotion team (n = 50 documents), electronic progress reports completed by grantees (n = 6) and information and feedback forums (n = 2). Since the program's inception in 2019, the health service has received 22 grant applications of which 15 were approved and 14 disbursed. Evaluation results show that grantees were community members with multiple roles, often with previous experience in applying for grants. Expected outcomes have been partially met, especially with regard to the program's aim of community empowerment. The most notable impact was the enhancement of participants' perception of and relationship with the health promotion team, as well as the creation of opportunities for community members such as exposure to art and bridging of social groups. Microgrants represent a feasible way to increase health opportunities and foster community participation in the planning and delivery of health promotion programs. The key program activities identified and suggested improvements can help guide program replication and adaptation by other small organizations. Community members who had previously received a health service grant were invited to participate in collaborative workshops and follow-up surveys to codesign the grant program evaluation framework, co-prioritize evaluation questions and guide the results' dissemination plan.

Women in Higher Education Leadership

The integration of Artificial Intelligence (AI) into the higher education landscape has caused upset to many long-held practices in the sector as educators question the future. The male-dominated leadership landscape in AI reflects broader gender disparities prevalent in STEM fields. This position paper investigates the challenges women face in academic leadership within the context of AI and proposes strategies to address these disparities. By examining reflective narratives from three women leaders in higher education, we identify themes of visibility, recognition, and inclusive leadership. Our findings highlight the importance of mentoring programs and collaborative leadership models to support women in AI leadership roles. We argue that diverse leadership not only fosters innovative solutions and equitable access but is also crucial for ethical AI development. Promoting diverse voices in AI leadership can drive meaningful change, ensuring AI technologies benefit a broader demographic and align with ethical standards. Future research should focus on strategies to enhance visibility and support for women leaders in AI, addressing both gender and cultural dynamics.

Fostering professional capacity for blended teaching and learning

Blended learning (BL) in higher education (HE) has for decades been considered a transformative way for universities to reach a wider range of students, increasing equity and availability to meaningful learning experiences. However, there is little in the BL literature around teaching academics and instructional designers’ experiences and perspectives on BL. This case study explores collaborative redesign through the reflections of a team comprising an academic Unit Chair, Learning Designer, and a Sessional Lecturer. It illustrates how a collaborative BL redesign process strengthened a unit that in 2022 had been deemed to be unsuccessful, and built educator capability through professional learning (PL). The result was a pedagogical and learning shift, which led to the unit’s successful delivery for online and on campus students in 2023. The findings have implications for BL and insight into collaborative design team experiences offering value to the academic community at large and foregrounding the value of pursuing a ‘ground-up’ collaborative BL redesign model.

Privacy-Preserving Analytics in HR Tech- Federated Learning and Differential Privacy Techniques for Sensitive Data

This paper explores the application of privacy-preserving analytics in human resources (HR), focusing on the synergistic use of federated learning and differential privacy. As HR departments increasingly leverage data-driven insights, the protection of sensitive employee information becomes paramount. Federated learning enables collaborative model training without centralizing raw data, while differential privacy adds calibrated noise to ensure individual data remains indiscernible. Together, these techniques form a robust framework for safeguarding HR data while enabling advanced analytics. The paper discusses the challenges of handling sensitive HR information, examines the implementation of federated learning and differential privacy, and demonstrates their combined effectiveness in maintaining data utility while ensuring privacy. By adopting these approaches, organizations can derive valuable workforce insights, comply with data protection regulations, and foster employee trust. This research contributes to the growing field of ethical data use in HR, offering a blueprint for balancing analytical capabilities with privacy imperatives in the modern workplace. Keywords—Privacy-preserving analytics, Federated learning, Differential privacy, HR analytics, Data protection, Employee privacy, Decentralized learning, GDPR compliance, CCPA compliance, Sensitive data handling, Data-driven HR, Privacy-utility trade-off.

Evaluation of open collaborative practice teaching reform based on students satisfaction: Public health practice courses integrating medicine, teaching, and research in Yunnan province, China

To address gaps in practical skills among Public Health and Preventive Medicine graduates, an ‘open collaborative practice teaching model’ integrating medicine, teaching, and research was introduced. A cross-sectional study surveyed 312 Preventive Medicine undergraduates at a Yunnan medical university from 2020 to 2023, utilizing satisfaction scores and analyses (cluster, factor, SWOT) to assess the impact of the reform. Satisfaction scores from baseline, mid-term, and end-term assessments showed minor variations (4.30, 4.29, 4.36), with dissatisfaction primarily related to teaching content and methods. Key influences on satisfaction included teaching content, methods, and effectiveness. The SWOT analysis highlighted the importance of continuously updating teaching strategies to meet changing student expectations. This study suggests that the model has the potential for wider use in enhancing public health education, particularly in regions facing similar challenges.

Governance of rural solid waste under a multi-subject governance model

Rural solid waste (RSW) exhibits distinct characteristics compared to municipal solid waste (MSW), such as dispersed distribution, long governance chains, and low recycling value, making it unsuitable to apply the same management measures as MSW. Government-led RSW management results in excessive administrative costs, and the inherent characteristics of RSW reduce market enthusiasm for its management. To address these issues, this paper integrates the “ multi-subject governance “ model with RSW management and establishes a systematic evaluation index system for RSW governance. Utilizing the Best-Worst Method (BWM), key factors were identified. Utilizing the VIKOR method, representative provinces in China were used as case studies to validate the scientific nature of the evaluation indices. The research findings indicate that the multi-subject governance model is an effective approach for RSW management. Key factors influencing RSW management effectiveness include various governmental measures, waste sorting, and a long-term multi-subject governance mechanism. Case analysis reveals a strong correlation between the level of economic development and the effectiveness of RSW management. However, constructing a government-led, multi-subject collaborative urban-rural interconnected RSW management model can effectively address RSW management issues in economically underdeveloped areas. This research provides innovative solutions for RSW management, contributing to high-quality and sustainable development in rural areas.

The Influence of Behavioral and ESG Drivers on Consumer Intentions for Online Fashion Renting: A Pathway Toward Sustainable Consumption in China’s Fashion Industry

As the fashion industry faces increasing scrutiny over its environmental impact, collaborative consumption models such as online fashion renting offer potential solutions for fostering sustainability. This study examines the role of environmental, social, and governance (ESG) factors alongside behavioral drivers in shaping consumer intentions toward online fashion renting in China, a model of collaborative consumption that contributes to sustainability by reducing new product demand and promoting the reuse of fashion items. The data was gathered from 403 Chinese customers using a standardized questionnaire. Structural equation modeling (SEM) was used to examine the given study hypotheses. The current study empirically demonstrates that customers’ attitudes, past sustainable behavior, and subjective norms are significant indicators of consumers’ intentions toward online fashion renting. The results further indicate that relative advantage, compatibility, perceived ownership, psychological risk, green self-identity, and experience value are the key drivers of consumers’ attitudes toward online fashion renting. Additionally, the ESG factors were found to have a significant positive impact on consumer attitudes toward online fashion renting, underscoring their importance in driving sustainable consumption patterns. By integrating behavioral and ESG perspectives, the study contributes to the growing discourse on how sustainable consumption patterns can be encouraged within the fashion industry, offering theoretical and managerial implications for fostering sustainable behavior. Directions for future research are also suggested.

Integrating real-world entrepreneurship with international learning: insights from a blended intensive programme

Purpose This study aims to illustrate how a university can leverage a Blended Intensive Programme (BIP) to act as a boundary spanner in international collaborations and multi-stakeholder value co-creation. This research explores the potential of a reimagined study abroad program to connect disparate entrepreneurial ecosystems and enhance the university’s role in fostering international collaborative projects. Design/methodology/approach This study uses a case study methodology to investigate an Erasmus+ BIP aimed at integrating real-world entrepreneurship with international learning. Data were collected through surveys, interviews and participant observation, providing a robust analysis of how such programs can bridge entrepreneurial ecosystems internationally. Findings The study shows how a blended study-abroad program not only enhances students’ learning outcomes but also can bridge local and international entrepreneurial ecosystems. By facilitating rich exchanges and value co-creation among students, faculty, industry and government stakeholders, the blended format of the program—integrating virtual and in-person elements—proved crucial in maintaining continuity and engagement amid global disruptions. The study highlights the university’s pivotal role both as a facilitator of global business education and international collaboration. Research limitations/implications The study’s findings are based on a single BIP, so they may not apply to all similar programs worldwide. To understand the broader applicability and impact across different contexts, future research should include diverse BIPs from various regions and sectors. Practical implications This research highlights the multifaceted benefits of blended intensive study-abroad programs. The collaborative model serves as a template for enhancing the practical value of higher education globally. Originality/value The study provides insights into the potential of blended intensive programs for universities to extend their role as boundary-spanners through a unique model for international collaboration and multi-stakeholder engagement. This approach addresses the challenges of global disruptions and sets a precedent for future educational practices in international business.