Critical Management Risks in Collaborative University-Industry R&amp;D Programs

Fernandes, Gabriela; Domingues, Joana; Tereso, Anabela Pereira; Pinto, Eduardo B.

doi:10.1007/978-3-030-72651-5_11

Cited by 2 publications

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References 13 publications

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“…This paper contributes to a gap within the existing research literature on the phenomenon of inter-organizational RM involving UICs. One of the greatest challenges of UIC programs and projects is to understand the main risks that can exist in these types of collaborations [13]. In the context of RM, stakeholders can follow specific guidelines for reducing the risk associated with UICs, consequently increasing their success rates.…”

Section: Introductionmentioning

confidence: 99%

Risk Management in University–Industry R&D Collaboration Programs: A Stakeholder Perspective

et al. 2022

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Current knowledge of risk management (RM) is mainly limited to single organizations. This paper investigates RM practices from a stakeholders’ perspective applicable to university–industry R&D collaboration (UIC) programs, a particular form of inter-organizational relationship. With a view to reducing the negative impact of risk associated with such UICs, and, as a result, increasing the success rate of the related programs and projects, an RM methodology has been developed from the perspective of the main stakeholders. The results reported here are based on a large-scale UIC between the Bosch Car Multimedia in Portugal and the University of Minho. Three research methods were applied in a complementary way: participant observation over seven years, analysis of various documents supporting the management of the programs and projects, and focus group involving seven key participants from different roles. The proposed RM methodology takes into account the three main stakeholders and their respective RM roles—Program Manager, Program and Project Management Officer, and Project Manager—and helps to manage the risks incurred by a UIC program while, at the same time, emphasizing the importance of taking the stakeholders’ perspective. In inter-organizational contexts, particularly in the case of university and industry, where there is a cultural gap between members, misunderstandings may occur about the role each key stakeholder should play. This paper provides a comprehensive guideline for the application of the methodology by means of a proposed set of specific RM practices. However, the research was conducted using a single case study, therefore limiting the results’ potential for generalization.

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Section: Introductionmentioning

confidence: 99%

Risk Management in University–Industry R&D Collaboration Programs: A Stakeholder Perspective

et al. 2022

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Underpinning risk dimensions of sponsored institutional R&D projects through cutting-edge fuzzy TOPSIS and fuzzy DEMATEL approaches

Kumar,

Singh

2024

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PurposeThis study aims to enhance the success of Sponsored Institutional R&D Projects (SIRPs) by investigating the influence of risk dimensions over four criteria Cost overrun, Time overrun, Schedule overrun, and Quality of projects. The study identifies risk dimensions and prioritizes and explores causal relationships to guide risk mitigation strategies during project execution.Design/methodology/approachThis study was conducted with qualitative data obtained through a systematic questionnaire from 10 domain experts associated with SIRPs. Through an extensive literature review, the study identifies the ten risk dimensions, Fuzzy TOPSIS was employed for prioritizing the explored risk dimensions and Fuzzy DEMATEL explored the qualitative causal relationships among these dimensions. The sensitivity analysis was conducted to validate the robustness of findings by adjusting the weightage assigned to experts.FindingsThe findings reveal financial risk as the highest ranked and business risk as the least influential among identified dimensions. The study also highlights management risk as the most significant, followed by business risk and sensitivity analysis concludes that the findings are robust, lacking significant judgment bias.Research limitations/implicationsThis study contributes to risk management strategies for SIRPs, to ensure timely completion within the allocated budget. The findings of the study can be implemented in other such SIRPs. The study also informs funding agencies' policies and project monitoring mechanisms and advancing project management practicesOriginality/valueIts originality lies in being the first to systematically identify and prioritize risk dimensions, adding significant value to SIRP management and academic discourse on project management and risk analysis.

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Critical Management Risks in Collaborative University-Industry R&D Programs

Cited by 2 publications

References 13 publications

Risk Management in University–Industry R&D Collaboration Programs: A Stakeholder Perspective

Risk Management in University–Industry R&D Collaboration Programs: A Stakeholder Perspective

Underpinning risk dimensions of sponsored institutional R&D projects through cutting-edge fuzzy TOPSIS and fuzzy DEMATEL approaches

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