Collaborative Research Project Networks

Takahashi, Marissa; Indulska, Marta; Steen, John

doi:10.1177/8756972818781630

Cited by 21 publications

(8 citation statements)

References 90 publications

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“…The way in which the different thematic areas are coordinated by teams from different countries shows us the relevance of coordination. It may need to be thought of as a much more inclusive process, being accomplished when developing and enacting strategies, which aim to pull together everything needed to carry out project tasks (Fujimura, 1987; Takahashi et al , 2018). Therefore, projects with greater diversity of coordinators and thematic areas, the greater the resultant technological diversity among projects.…”

Section: Methodsmentioning

confidence: 99%

“…From the perspective of this study, the interrelation of actors and the collaborative research projects are seen as networks of innovation for the successful knowledge generated by the consortia but also for the successful transfer of this novel knowledge to other consortia and organization – internal research and business networks (Takahashi et al , 2018). This study analyzes those variables that, from a cross-fertilization perspective, determine a collaborative research project: the degree of multidisciplinarity; the prior knowledge base of the consortium’s organizations; the number of actors; and the diversity of actor types.…”

Section: Theorymentioning

confidence: 99%

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Cross-fertilization of knowledge and technologies in collaborative research projects

Piñero

Avilés

Feliu

et al. 2021

JKM

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Purpose This paper aims to explore how the cross-fertilization of knowledge and technologies in EU-funded research projects, including serious games and gamification, is influenced by the following variables: multidisciplinarity, knowledge base and organizations (number and diversity). The interrelation of actors and projects form a network of innovation. The largest contribution to cross-fertilization comes from the multidisciplinary nature of projects and the previous knowledge and technology of actors. The analysis draws on the understanding of how consortia perform as an innovation network, what their outcomes are and what capabilities are needed to reap value. Design/methodology/approach All the research projects including serious games and/or gamification, funded by the EU-Horizon 2020 work programme, have been analyzed to test the hypotheses in this paper. The study sample covers the period between 2014 and 2016 (June), selecting the 87 research projects that comprised 519 organizations as coordinators and participants, and 597 observations – because more organizations participate in more than one project. The data were complemented by documentary and external database analysis. Findings To create cross-fertilization of knowledge and technologies, the following emphasis should be placed on projects: partners concern various disciplines; partners have an extensive knowledge base for generating novel combinations and added-value technologies; there is a diverse typology of partners with unique knowledge and skills; and there is a limited number of organizations not too closely connected to provide cross-fertilization. Research limitations/implications First, the database sample covers a period of 30 months. The authors’ attention was focused on this period because H2020 prioritized for the first time the serious games and gamification with two specific calls (ICT-21–14 and ICT-24–16) and, second, for the explosion of projects including these technologies in the past years (Adkins, 2017). These facts can be understood as a way to push the research to higher technology readiness levels (TRLs) and introducing the end-user in the co-creation and co-development along the value chain. Second, an additional limitation makes reference to the European focus of the projects, missing strong regional initiatives not identified and studied. Originality/value This paper has attempted to explore and define theoretically and empirically the characteristics found in the cross-fertilization of collaborative research projects, emphasizing which variables, and how, need to be stimulated to benefit more multidisciplinary consortia and accelerate the process of innovation.

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Section: Methodsmentioning

confidence: 99%

Section: Theorymentioning

confidence: 99%

Cross-fertilization of knowledge and technologies in collaborative research projects

Piñero

Avilés

Feliu

et al. 2021

JKM

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“…Construction projects, which generally rely on multiple heterogeneous actors with different disciplines, interests, and norms to collaboratively execute unique and interdependent activities, are temporary and heterogeneous in nature (Pauget & Wald, 2013). These inherent characteristics have led to increasing attention of researchers to the complex relationships between different types of project participating organizations and individuals, which makes the network perspective an important theoretical lens used in project management research (Adami & Verschoore, 2018; Braun, 2018; Cao et al, 2017; Guo et al, 2020; Steen et al, 2018; Takahashi et al, 2018; Xu & Lu, 2023). The network perspective moves the focus away from autonomous individuals to social relationships within which they are embedded (Borgatti et al, 2009; Zaheer et al, 2010).…”

Section: Theoretical Background and Research Hypothesesmentioning

confidence: 99%

Colleagues or Friends? Comparing Communication and Advice Networks for Building Information Modeling (BIM) Implementation in Construction Projects

Cao,

Shao

2023

Project Management Journal

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We examine how formal task-oriented communication and informal knowledge-oriented advice networks for business information modeling (BIM) implementation in construction projects exhibit different macrostructural characteristics and microformation mechanisms. The results show that while the two networks have some shared connections, individuals are more densely connected and centrally embedded within triads in the communication network than in the advice network. The results further show that the formation of these networks is differently driven by BIM implementation behaviors and individual demographic characteristics, suggesting that managers need to contingently design measures to facilitate task coordination and knowledge exchange for innovation implementation among heterogeneous participants in temporary projects.

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“…Various naming conventions and associated definitions on collaborative practices have emerged and some authors have argued that the categories of collaborative research are not (as yet) clearly defined enough to illuminate or even guide empirical research on the nature and function of forms of collaboration (Claveau & Fernández, 2015). A few examples of such ambiguities include 'polidisciplinarity' found in medical practice (Alvargonzález, 2011) or hybrid disciplinarity in bio-engineering (Nersessian, 2019), 'fuzzy', distributed, corporate collaborations designed to foster innovation (Takahashi et al, 2018), and 'supradisciplinary'. Ambiguities regarding the naming conventions, definitions and descriptions of collaborative research notwithstanding, an emerging body of literature seems to be triangulating on three categories to be used that describe collaborative research: multidisciplinary, interdisciplinary and transdisciplinary.…”

Section: Introduction To Collaborative Researchmentioning

confidence: 99%

Multidisciplinary Research as a Complex System

Dalton

Wolff

Bekker

2021

International Journal of Qualitative Methods

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Collaborative research has become increasingly prominent since the mid-20th century. This article aspires to offer a fundamental ontology of a multidisciplinary research system. As a point of departure, we consider disciplinarity as a restricted language code as noted by Bernstein. The impetus for collaboration is found in a research problem’s transcendence of disciplinary bounds. This article makes several propositions that diverge from the consensus position regarding the formation and dynamics of a multidisciplinary system. Most notably that such a system adheres to the constituent elements of what could be regarded as a complex system, including an ensemble of elements, interactions between these elements, local disorder followed by the emergence of robust order and system memory. We propose that the internal communications and subsequent self-organization of such a system may be conceptualized as orientation signals, or ‘stigmergy’, analogous to those observed in swarms. System robustness, we argue, is a function of the individual researcher’s local autonomy and is, paradoxically, augmented by the weakness of communications across disciplinary bounds, along with the lack of central organization and the emphasis on research novelty. System memory, we argue, manifests itself in the ability of a researcher to change her/his route of inquiry, based on environmental feedback, whereby new information becomes incorporated into the adjusted research methodology. We propose that an emergent intelligence, at the level of the system, expresses itself in the unconcealment of the ‘form’ of the metaproblem. The theoretical model is empirically illustrated using, as an example, the contemporary field of renewable energy research, which is an area primed for collaborative research. It is anticipated that an improved understanding of multidisciplinary research systems provides insights into certain strengths particular to less integrated and self-organized forms of collaborative research along with a framework with which to improve the design and fostering of such systems.

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Collaborative Research Project Networks

Cited by 21 publications

References 90 publications

Cross-fertilization of knowledge and technologies in collaborative research projects

Cross-fertilization of knowledge and technologies in collaborative research projects

Colleagues or Friends? Comparing Communication and Advice Networks for Building Information Modeling (BIM) Implementation in Construction Projects

Multidisciplinary Research as a Complex System

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