Responsible Research and Innovation (RRI): Scientometric Analysis

Innovation and research in various fields should be done responsibly. In the last years, there is this responsibility towards different stakeholders. One of the most important stakeholders are the community and the society. In this context, the concept of social responsibility and social innovation has become very widespread. The purpose of this study was scientometric analysis of concepts in the field of responsible innovation and responsible research. R software has been used to achieve this purpose. In this study, by analyzing the information extracted from related articles (572 articles from Web of Science), the new concept of RRI and the network of researchers in this regard have been identified and analyzed. In this study, based on a systematic literature review (SLR) and scientometric methods, the evolution of the concept of “Responsible Research” and “Responsible Innovation” in the literature is investigated. Also, the selected articles identified by the SLR method from different textual dimensions regarding journals, collaboration network, co-citation network, collaboration worldmap, historical direct citation network, and emergence of new concepts are analyzed. The results of this study indicate the development of related concepts in the literature in recent years and indicate the need for further studies in this regard.

Added value for sponsors: a study of network in football 2011–2018

PurposeThis study identifies the outcomes prioritised by the sponsors of a sport, specifically football. The authors’ novel thesis is that the network collaboration between sponsors as well as with the sponsorship object (i.e. the football club) is a significant determinant of sponsor satisfaction and the likelihood of renewing the sponsorship deal. This perspective has not been adequately addressed in existing sponsorship research.Design/methodology/approachThe authors use an original dataset to empirically analyse networks and their business value for football sponsors. Our data covers sponsors of the Norwegian football club Rosenborg Ballklub (RBK) from 2011 to 2018, which we analyse using regression models.FindingsThe results indicate that network effects are extremely important for sponsors in the RBK network. The authors’ analyses also indicate that network effects are more important than exposure.Practical implicationsWhen planning, sponsors must analyse their motives for being a sponsor and assess how well their network functions by exploring its cohesiveness and scope. It is also very important that the sponsorship object be aware of the value of the network and enable interaction between the sponsors.Originality/valueThis study confirms that functioning networks contribute to the satisfaction and renewal of sponsorships and can attract a growing number of sponsors for sports clubs, thus serving as an important source of income.

Learning organization as a framework for networks’ learning and collaboration

Purpose The purpose of this study was to use Watkins and Marsick model of a learning organization (1993, 1996), the dimensions of the learning organization questionnaire as a framework for interdisciplinary network collaboration and knowledge sharing. Design/methodology/approach The research team used a mixed-methods approach for data collection. Survey data was collected from 181 networks. In addition, data was collected from two focus groups with six participants each. Findings Results, in general, showed that the learning organization culture could be used as a framework for interdisciplinary network collaboration. In particular, results showed that shared vision, imbedded systems and knowledge sharing were key driving forces required for successful collaboration. Research limitations/implications Theoretical and practical implications were discussed, and conditions for learning organization culture for networks were established. Originality/value People in a network era need more than training; they need ongoing, interdisciplinary, collaborative support to solve complex problems. Organizations can only work effectively if barriers to organizational learning were removed. This originality of this paper lies in applying learning organization framework at the network level.

The role of trust in innovation ecosystems

Purpose There are indications that trust is essential in innovation ecosystems relations. However, studies have not yet focused on deeply exploring such connection. The purpose of this paper is to discuss the influence of trust among actors in the context of innovation ecosystems. Design/methodology/approach This study developed a conceptual framework and a set of propositions. We raised a discussion based on the intertwining of three widely known dimensions of trust (ability, benevolence and integrity) and four dimensions of innovation ecosystems (network collaboration, interdependency, value co-creation and innovation objectives). Findings This paper suggests that trust contributes to the development of innovation ecosystems’ dimensions. In addition, it sheds light on the need to consider all three dimensions of trust together and simultaneously, because, by itself, none of them is sufficient to build trust in innovation ecosystems. Also, we argue that the different connections between the dimensions of trust and those of innovation ecosystems lead to the development of such ecosystems. Originality/value Through the approach of an underexplored area of research, this paper contributes to a broad understanding of the role of trust in innovation ecosystems toward the pursuit of creating innovation. It also proposes a novelty to the field, by suggesting four dimensions of innovation ecosystems to help managers analyze ecosystems through a more practical perspective.

Mechanism Underlying the Formation of Virtual Agglomeration of Creative Industries: Theoretical Analysis and Empirical Research

Industrial agglomeration serves as an effective model for developing the creative economy and manifests itself as the interdependence of creative subjects in geographical space. The traditional methods of resource agglomeration have undergone tremendous changes due to the development of digital technology. These transformations have given birth to a new organizational form of the virtual agglomeration of creative industries. The present work uses field interviews and grounded theoretical research methods to construct a theoretical model of this new organizational phenomenon. Questionnaire surveys and empirical testing using structural equation models are here combined to systematically analyze the formation mechanism of the virtual agglomeration of creative industries. The results show that digital technology, virtual platforms, digital creative talents, digitization of cultural resources, and government policies have driven the formation of the virtual agglomeration of creative industries. This has been achieved through network collaboration, freedom of participation, and trust guarantee mechanisms. The effect of emerging consumer demand on the virtual agglomeration of creative industries is not significant. In addition, the implications of this research are also considered and discussed.

Operationalisation of the Randomized Embedded Multifactorial Adaptive Platform for COVID-19 trials in a low and lower-middle income critical care learning health system.

The Randomized Embedded Multifactorial Adaptive Platform (REMAP-CAP) adapted for COVID-19) trial is a global adaptive platform trial of hospitalised patients with COVID-19. We describe implementation in three countries under the umbrella of the Wellcome supported Low and Middle Income Country (LMIC) critical care network: Collaboration for Research, Implementation and Training in Asia (CCA). The collaboration sought to overcome known barriers to multi centre-clinical trials in resource-limited settings. Methods described focused on six aspects of implementation: i, Strengthening an existing community of practice; ii, Remote study site recruitment, training and support; iii, Harmonising the REMAP CAP- COVID trial with existing care processes; iv, Embedding REMAP CAP- COVID case report form into the existing CCA registry platform, v, Context specific adaptation and data management; vi, Alignment with existing pandemic and critical care research in the CCA. Methods described here may enable other LMIC sites to participate as equal partners in international critical care trials of urgent public health importance, both during this pandemic and beyond.

Utilizing Partnerships to Identify Community Needs and Analyze Network Collaboration in Public Health

Objective: LinkedUp is a multi-sector partnership focused on linking older teens (ages 17-19) to sexual and reproductive health (SRH) services at school-based health centers (SBHCs) in Mississippi. The purpose of this study was to examine key partnerships in LinkedUp development, focusing on community needs that initiated the formation of the partnership, and patterns of collaboration among these partners. Methods: In 2018, researchers conducted interviews (N = 3) and focus groups (N = 9) with Mississippi school administrators and high school and college students. In 2019, evaluators examined collaboration between these community partners (N = 6) using an interorganizational network analysis survey. Results: Thematic analyses of qualitative data indicated a need to commit to linking older teens to SRH services by increasing communication/ planning among community stakeholders. Network analysis scores included an average network density of 1, strength of tie of 3.04, and degree centrality of 4.6 (SD = 1.4) for partners. Conclusions: Our findings illustrate how community stakeholders inform the development of a public health program as critical partners during both needs assessment and program development phases. This information can be used by practitioners and policymakers interested in addressing complex, community-level health issues.