The effects of diversity and network ties on innovations: The emergence of a new scientific field

The differential impacts of team diversity as variability versus atypicality on team effectiveness

Interest in team diversity initiatives has grown significantly over the past decade. Some initiatives focus on creating "highly variable" teams where members bring a wide range of attributes. Others prioritize "highly atypical" teams, where members contribute attributes underrepresented within the broader organization or field, regardless of variety. These two approaches entail markedly different assumptions about maximizing team diversity's benefits. Comparing short- and long-term outcomes provides important insights into cultivating and leveraging diverse teams. To do so, we examined the proposal submissions of all variable and atypical teams within a competitive seed grant program over six years. We assessed short-term performance based on funding outcomes following a three-stage review process and long-term viability based on team members' tendency to collaborate more in the future. Our findings demonstrate that diversity operates differently when conceptualized as variability versus atypicality. Specifically, while team variability often resulted in neutral or even negative short-term performance, it had a mixed effect on long-term viability. Conversely, while team atypicality had a mixed impact on short-term performance, it consistently enhanced long-term viability. These results underscore the distinctive value of nurturing highly atypical teams to promote lasting collaboration success and highlight the importance of aligning diversity cultivation strategies with organizations' short- and long-term goals.

Ethical considerations for the use of brain-computer interfaces for cognitive enhancement

Brain-computer interfaces (BCIs) enable direct communication between the brain and external computers, allowing processing of brain activity and the ability to control external devices. While often used for medical purposes, BCIs may also hold great promise for nonmedical purposes to unlock human neurocognitive potential. In this Essay, we discuss the prospects and challenges of using BCIs for cognitive enhancement, focusing specifically on invasive enhancement BCIs (eBCIs). We discuss the ethical, legal, and scientific implications of eBCIs, including issues related to privacy, autonomy, inequality, and the broader societal impact of cognitive enhancement technologies. We conclude that the development of eBCIs raises challenges far beyond practical pros and cons, prompting fundamental questions regarding the nature of conscious selfhood and about who-and what-we are, and ought, to be.

How Do Virtual Communities of Practice Enhance Professional Connections and Social Capital?

INTRODUCTION

Communities of Practice (CoP) were created to up-skill educators and to mitigate the disruption to physical therapist assistant (PTA) education because of the COVID-19 pandemic. Understanding CoP involves considering individuals and their interactions, making this project significant for pioneering CoP among PTA educators, and using social network analysis (SNA). The research question for this mixed-methods concurrent triangulation study was "To what extent did the network structure of virtual CoP reflect PTA educators' perceptions of participation and mentorship?"

SUBJECTS

Forty of 60 CoP members participated in this study.

METHODS

We analyzed 8 virtual PTA educator CoP that met over 4 months. Study participants completed a questionnaire about their experiences, engagement, and network connections. Individual and group-level friendship and mentorship network measures were studied using SNA. Qualitative responses were analyzed using the case study design approach. All results were integrated to draw out the complexity of the PTA educator CoP.

RESULTS

There was high engagement, with 97.5% (n = 39) reporting they would participate again, and 80% (n = 32) resolved an immediate issue affecting their role. Moreover, 92.5% (n = 37) reported a perception of encouragement with the environment. Study participants reported being mentored by an average of 1.2 individuals (median 0, range 0-5) and serving as mentors to an average of 1.4 individuals (median 0, range 0-7). Two themes, unity and knowledge, emerged through the qualitative analysis.

DISCUSSION AND CONCLUSION

Participation by PTA educators in CoP, whether focused on administration, teaching methods, or clinical education, brings valuable outcomes. Our research supports existing literature in physical therapy education. We discovered that participant engagement, nurturing mentor relationships, encouraging knowledge sharing, and promoting a sense of unity among educators are all important factors.

In search of diverse and connected teams: A computational approach to assemble diverse teams based on members’ social networks

Previous research shows that teams with diverse backgrounds and skills can outperform homogeneous teams. However, people often prefer to work with others who are similar and familiar to them and fail to assemble teams with high diversity levels. We study the team formation problem by considering a pool of individuals with different skills and characteristics, and a social network that captures the familiarity among these individuals. The goal is to assign all individuals to diverse teams based on their social connections, thereby allowing them to preserve a level of familiarity. We formulate this team formation problem as a multi-objective optimization problem to split members into well-connected and diverse teams within a social network. We implement this problem employing the Non-dominated Sorting Genetic Algorithm II (NSGA-II), which finds team combinations with high familiarity and diversity levels in O(n2) time. We tested this algorithm on three empirically collected team formation datasets and against three benchmark algorithms. The experimental results confirm that the proposed algorithm successfully formed teams that have both diversity in member attributes and previous connections between members. We discuss the benefits of using computational approaches to augment team formation and composition.

Responding to Health Disparities in Behavioral Weight Loss Interventions and COVID-19 in Black Adults: Recommendations for Health Equity

COVID-19 has disproportionately impacted Black adults with high prevalence and mortality rates. Obesity is a central factor in the severity of COVID-19 and related treatment. Behavioral weight loss interventions are an efficacious treatment for obesity, but consistently, Black men and women are minimally represented, and weight loss outcomes are less than clinically significant thresholds. This commentary draws parallels between COVID-19 racial disparities, disparate obesity rates, weight loss treatment outcomes, and underlying systemic racial context. This paper also indicates paths forward to address racialized societal norms in obesity treatment to advance health equity in obesity and reduce acute disease vulnerability. Recommendations for behavioral medicine practice and policy include (1) expanding the research lens to prioritize Black scholars and institutions to generate innovative research questions, (2) creating trustworthy relationships with Black community members to bolster recruitment and retention, (3) employing qualitative methods to facilitate better intervention design and uncover influences of racialized social context, (4) centering Black adults in weight loss interventions, and (5) using multilevel approaches that integrate policy into interventions. Moving forward, this commentary aims to make plain the multilayered form and function of racism, its impact on COVID-19 and obesity, and offer pathways to improve behavioral weight loss interventions that can produce more equitable outcomes.

Conceptualization of utility in translational clinical genomics research

Prior to integration into clinical care, a novel medical innovation is typically assessed in terms of its balance of benefits and risks, often referred to as utility. Members of multidisciplinary research teams may conceptualize and assess utility in different ways, which has implications within the translational genomics community and for the evidence base upon which clinical guidelines groups and healthcare payers make decisions. Ambiguity in the conceptualization of utility in translational genomics research can lead to communication challenges within research teams and to study designs that do not meet stakeholder needs. We seek to address the ambiguity challenge by describing the conceptual understanding of utility and use of the term by scholars in the fields of philosophy, medicine, and the social sciences of decision psychology and health economics. We illustrate applications of each field's orientation to translational genomics research by using examples from the Clinical Sequencing Evidence-Generating Research (CSER) consortium, and we provide recommendations for increasing clarity and cohesion in future research. Given that different understandings of utility will align to a greater or lesser degree with important stakeholders' views, more precise use of the term can help researchers to better integrate multidisciplinary investigations and communicate with stakeholders.

Knowledge creation through collaboration: The role of shared institutional affiliations and physical proximity

This paper examines how shared affiliations within an institution (e.g., same primary appointment, same secondary appointment, same research center, same laboratory/facility) and physical proximity (e.g., walking distance between collaborator offices) shape knowledge creation through biomedical science collaboration in general, and interdisciplinary collaboration in particular. Using archival and publication data, we examine pairwise research collaborations among 1,138 faculty members over a 12-year period at a medical school in the United States. Modeling at the dyadic level, we find that faculty members with more shared institutional affiliations are positively associated with knowledge creation and knowledge impact, and that this association is moderated by the physical proximity of collaborators. We further find that the positive influence of disciplinary diversity (e.g., collaborators from different fields) on knowledge impact is stronger among pairs that share more affiliations and is significantly reduced as the physical distance among collaborators increases. These results support the idea that shared institutional affiliations and physical proximity can increase interpersonal contact, providing more opportunities to develop trust and mutual understanding, and thus alleviating some of the coordination issues that can arise with higher disciplinary diversity. We discuss the implications for future research on scientific collaborations, managerial practice regarding office space allocation, and strategic planning of initiatives aimed at promoting interdisciplinary collaboration.

Racial attention deficit

Despite efforts toward equity in organizations and institutions, minority members report that they are often ignored, their contributions undervalued. Against this backdrop, we conduct a large-sample, multiyear experimental study to investigate patterns of attention. The findings provide causal evidence of a racial attention deficit: Even when in their best interest, White Americans pay less attention to Black peers. In a baseline study, we assign an incentivized puzzle to participants and examine their willingness to follow the example of their White and Black peers. White participants presume that Black peers are less competent—and fail to learn from their choices. We then test two interventions: Providing information about past accomplishments reduces the disparity in evaluations of Black peers, but the racial attention deficit persists. When Whites can witness the accomplishments of Black peers, rather than being told about them, the racial attention deficit subsides. We suggest that such a deficit can explain racial gaps documented in science, education, health, and law.

Enhancing the practice of medicine with embedded multi-disciplinary researchers in a model of change

Successfully embedding researchers in a health care setting brings unique challenges and opportunities. Through a joint clinical and academic partnership, we have developed a novel approach to problem-solving in the health care context, by employing a model for leading through change to embed researchers in transformative initiatives. Using the model, we have been able to leverage our local environment and resources to engage multi-disciplinary researchers in solving complex issues. An example is our initiative, Enhancing the Practice of Medicine, to address burnout among health care providers. Through this work, we have identified 3 primary factors critical to the successful deployment of embedded researchers. First and foremost, a multi-disciplinary team with diverse expertise is necessary to truly understand the root causes and potential solutions for complex issues. Second, this diverse team of embedded researchers must be involved from the initial stages of project design and have a voice throughout all phases of planning and assessing the initiative. Finally, embedded researchers will be most successful when they are supported to build relationships, navigate the system, and conduct research as part of an integrated and comprehensive effort that aligns with health system priorities.

Affirming NIH's commitment to addressing structural racism in the biomedical research enterprise

NIH has acknowledged and committed to ending structural racism. The framework for NIH's approach, summarized here, includes understanding barriers; developing robust health disparities/equity research; improving its internal culture; being transparent and accountable; and changing the extramural ecosystem so that diversity, equity, and inclusion are reflected in funded research and the biomedical workforce.

A View from the past into our collective future: the oncofertility consortium vision statement

PURPOSE

Today, male and female adult and pediatric cancer patients, individuals transitioning between gender identities, and other individuals facing health extending but fertility limiting treatments can look forward to a fertile future. This is, in part, due to the work of members associated with the Oncofertility Consortium.

METHODS

The Oncofertility Consortium is an international, interdisciplinary initiative originally designed to explore the urgent unmet need associated with the reproductive future of cancer survivors. As the strategies for fertility management were invented, developed or applied, the individuals for who the program offered hope, similarly expanded. As a community of practice, Consortium participants share information in an open and rapid manner to addresses the complex health care and quality-of-life issues of cancer, transgender and other patients. To ensure that the organization remains contemporary to the needs of the community, the field designed a fully inclusive mechanism for strategic planning and here present the findings of this process.

RESULTS

This interprofessional network of medical specialists, scientists, and scholars in the law, medical ethics, religious studies and other disciplines associated with human interventions, explore the relationships between health, disease, survivorship, treatment, gender and reproductive longevity.

CONCLUSION

The goals are to continually integrate the best science in the service of the needs of patients and build a community of care that is ready for the challenges of the field in the future.

Team learning in interdisciplinary research teams: antecedents and consequences

Purpose

Team learning is critical to interdisciplinary research teams (IDR teams) to use heterogeneous knowledge effectively. Nevertheless, team learning is rarely addressed in the IDR team literature. Also, few studies investigate the antecedents and consequences of team learning in IDR teams, leading to a lack of guidance for management practices. This study aims to investigate how team learning can be developed and how team learning influences team outcomes in IDR teams.

Design/methodology/approach

A questionnaire survey on 304 members of 37 IDR teams in a research university in China is conducted. Data are analyzed using a partial least square structural equation modeling.

Findings

The results support most hypotheses in general. For the antecedent variables, task interdependence, trust and constructive conflict positively affect team learning. For the outcome variables, team learning improves shared mental models, coordination quality and team performance significantly. Additionally, task uncertainty positively moderates the team learning-coordination quality relation and team learning-team performance relation. However, this paper does not find support for the moderating role of task uncertainty on the team learning-shared mental models relation.

Originality/value

To the best of the knowledge, this is the first study investigating the antecedents and consequences of team learning in IDR teams. A multidimensional measurement of team learning for the IDR team context is developed. This study investigates how team behavioral factors influence team learning and the effect of team learning on shared mental models, coordination quality and team performance. This study also explores the contingency role of task uncertainty in the effects of team learning.

Barriers and Opportunities of Oncofertility Practice in Nine Developing Countries and the Emerging Oncofertility Professional Engagement Network

PURPOSE

Oncofertility practice continues to grow in developing countries despite the lack of health care services, especially those related to cancer care. The purpose of this study is to further explore oncofertility practice in these countries and identify opportunities for field-wide coalescence.

METHODS

We generated a survey to learn more about oncofertility practice in nine developing countries within our Oncofertility Consortium Global Partners Network-Mexico, Colombia, Guatemala, Argentina, Chile, Nigeria, South Africa, Saudi Arabia, and India. Their responses were collected, reviewed, and discussed.

RESULTS

Surveyed centers from the nine developing countries continue to experience a similar set of common challenges, including a lack of awareness among providers and patients, cultural and religious constraints, lack of insurance coverage and funding to help to support oncofertility programs, and high out-of-pocket costs for patients. Despite these barriers, many opportunities exist and there is great potential for the future.

CONCLUSION

The current need is to unify the new technologies and best practices that emerge from rural communities and developing countries with those in large metropolitan cities, both domestically (US based) and abroad, into a functional unit: the Oncofertility Professional Engagement Network. The Oncofertility Professional Engagement Network will bridge the gap between domestic and international programs to establish a strong global network in which members share resources, methodologies and experiences and further build cultural competency.

Training the Next Generation of Health Equity Researchers: Exploring STEM Pathways and Best Practices

Training the Next Generation of Health Equity Researchers: Exploring STEM Pathways and Best Practices

Identifying strategies to promote team science in dissemination and implementation research

Introduction:

Scientific endeavors are increasingly carried out by teams of scientists. While there is growing literature on factors associated with effective science teams, little is known about processes that facilitate the success of dissemination and implementation (D&I) teams studying the uptake of healthcare innovations. This study aimed to identify strategies used by D&I scientists to promote team science.

Methods:

Using a nominal group technique, a sample of 27 D&I scholars responded to the question, “What strategies have you or others used to promote team science?” Participants were asked to individually respond and then discuss within a small group to determine the group’s top three strategies. Through a facilitated consensus discussion with the full sample, a rank-ordered list of three strategies was determined.

Results:

A total of 126 individual responses (M = 9; SD = 4.88) were submitted. Through small group discussion, six groups ranked their top three strategies to promote team science. The final ranked list of strategies determined by the full sample included: (1) developing and maintaining clear expectations, (2) promoting and modeling effective communication, and (3) establishing shared goals and a mission of the work to be accomplished.

Conclusions:

Because of its goal of translating knowledge to practice, D&I research necessitates the use of team science. The top strategies are in line with those found to be effective for teams in other fields and hold promise for improving D&I team cohesion and innovation, which may ultimately accelerate the translation of health innovations and the improvement of care quality and outcomes.

Data-driven selection of conference speakers based on scientific impact to achieve gender parity

A lack of diversity limits progression of science. Thus, there is an urgent demand in science and the wider community for approaches that increase diversity, including gender diversity. We developed a novel, data-driven approach to conference speaker selection that identifies potential speakers based on scientific impact metrics that are frequently used by researchers, hiring committees, and funding bodies, to convincingly demonstrate parity in the quality of peer-reviewed science between men and women. The approach enables high quality conference programs without gender disparity, as well as generating a positive spiral for increased diversity more broadly in STEM.

Centralized scientific communities are less likely to generate replicable results

Concerns have been expressed about the robustness of experimental findings in several areas of science, but these matters have not been evaluated at scale. Here we identify a large sample of published drug-gene interaction claims curated in the Comparative Toxicogenomics Database (for example, benzo(a)pyrene decreases expression of SLC22A3) and evaluate these claims by connecting them with high-throughput experiments from the LINCS L1000 program. Our sample included 60,159 supporting findings and 4253 opposing findings about 51,292 drug-gene interaction claims in 3363 scientific articles. We show that claims reported in a single paper replicate 19.0% (95% confidence interval [CI], 16.9-21.2%) more frequently than expected, while claims reported in multiple papers replicate 45.5% (95% CI, 21.8-74.2%) more frequently than expected. We also analyze the subsample of interactions with two or more published findings (2493 claims; 6272 supporting findings; 339 opposing findings; 1282 research articles), and show that centralized scientific communities, which use similar methods and involve shared authors who contribute to many articles, propagate less replicable claims than decentralized communities, which use more diverse methods and contain more independent teams. Our findings suggest how policies that foster decentralized collaboration will increase the robustness of scientific findings in biomedical research.

Information elaboration and epistemic effects of diversity

We suggest that philosophical accounts of epistemic effects of diversity have given insufficient attention to the relationship between demographic diversity and information elaboration (IE), the process whereby knowledge dispersed in a group is elicited and examined. We propose an analysis of IE that clarifies hypotheses proposed in the empirical literature and their relationship to philosophical accounts of diversity effects. Philosophical accounts have largely overlooked the possibility that demographic diversity may improve group performance by enhancing IE, and sometimes fail to explore the relationship between diversity and IE altogether. We claim these omissions are significant from both a practical and theoretical perspective. Moreover, we explain how the overlooked explanations suggest that epistemic benefits of diversity can depend on epistemically unjust social dynamics.

Barriers and Opportunities of Oncofertility Practice in Nine Developing Countries and the Emerging Oncofertility Professional Engagement Network

PURPOSE

Oncofertility practice continues to grow in developing countries despite the lack of health care services, especially those related to cancer care. The purpose of this study is to further explore oncofertility practice in these countries and identify opportunities for field-wide coalescence.

METHODS

We generated a survey to learn more about oncofertility practice in nine developing countries within our Oncofertility Consortium Global Partners Network-Mexico, Colombia, Guatemala, Argentina, Chile, Nigeria, South Africa, Saudi Arabia, and India. Their responses were collected, reviewed, and discussed.

RESULTS

Surveyed centers from the nine developing countries continue to experience a similar set of common challenges, including a lack of awareness among providers and patients, cultural and religious constraints, lack of insurance coverage and funding to help to support oncofertility programs, and high out-of-pocket costs for patients. Despite these barriers, many opportunities exist and there is great potential for the future.

CONCLUSION

The current need is to unify the new technologies and best practices that emerge from rural communities and developing countries with those in large metropolitan cities, both domestically (US based) and abroad, into a functional unit: the Oncofertility Professional Engagement Network. The Oncofertility Professional Engagement Network will bridge the gap between domestic and international programs to establish a strong global network in which members share resources, methodologies and experiences and further build cultural competency.

Enhancing research for undergraduates through a nanotechnology training program that utilizes analytical and bioanalytical tools

Nanotechnology is a broad field combining traditional scientific disciplines; however, analytical chemistry plays an important role in material design, synthesis, characterization, and application. This article emphasizes the uniqueness of nanotechnology and the importance of providing high-quality undergraduate research experiences to both attract and retain talented individuals to the field of nanotechnology. In response to this need to develop a strong and sustainable nanotechnology work force, strategies to create authentic research experiences are considered within the framework of an interdisciplinary nanotechnology environment at West Virginia University. The program, named NanoSAFE Research Experiences for Undergraduates (REU), embeds students in different departments at West Virginia University and in research laboratories within the National Institute of Occupational Safety and Health. A large number of participants have little or no prior research experience and a strong effort is made to recruit applicants from under-represented populations. Components designed to foster research proficiency include frequent reporting, a strong peer-network, and training for secondary mentors. Evidence, which includes student publications and assessment findings demonstrating self-efficacy, is discussed to substantiate the viability of the strategies used in the 2016-2018 program. Graphical abstract ᅟ.

How Team Interlock Ecosystems Shape the Assembly of Scientific Teams: A Hypergraph Approach

Today's most pressing scientific problems necessitate scientific teamwork; the increasing complexity and specialization of knowledge render "lone geniuses" ill-equipped to make high-impact scientific breakthroughs. Social network research has begun to explore the factors that promote the assembly of scientific teams. However, this work has been limited by network approaches centered conceptually and analytically on "nodes as people," or "nodes as teams." In this paper, we develop a ' team-interlock ecosystem' conceptualization of collaborative environments within which new scientific teams, or other creative team-based enterprises, assemble. Team interlock ecosystems comprise teams linked to one another through overlapping memberships and/or overlapping knowledge domains. They depict teams, people, and knowledge sets as nodes, and thus, present both conceptual advantages as well as methodological challenges. Conceptually, team interlock ecosystems invite novel questions about how the structural characteristics of embedding ecosystems serve as the primordial soup from which new teams assemble. Methodologically, however, studying ecosystems requires the use of more advanced analytics that correspond to the inherently multilevel phenomenon of scientists nested within multiple teams. To address these methodological challenges, we advance the use of hypergraph methodologies combined with bibliometric data and simulation-based approaches to test hypotheses related to the ecosystem drivers of team assembly.

Mapping the Growing Discipline of Dissemination and Implementation Science in Health

Background

The field of dissemination and implementation (D&I) research in health has grown considerably in the past decade. Despite the potential for advancing the science, limited research has focused on mapping the field.

Methods

We administered an online survey to individuals in the D&I field to assess participants' demographics and expertise, as well as engagement with journals and conferences, publications, and grants. A combined roster-nomination method was used to collect data on participants' advice networks and collaboration networks; participants' motivations for choosing collaborators was also assessed. Frequency and descriptive statistics were used to characterize the overall sample; network metrics were used to characterize both networks. Among a sub-sample of respondents who were researchers, regression analyses identified predictors of two metrics of academic performance (i.e., publications and funded grants).

Results

A total of 421 individuals completed the survey, representing a 30.75% response rate of eligible individuals. Most participants were White (n = 343), female (n = 284, 67.4%), and identified as a researcher (n = 340, 81%). Both the advice and the collaboration networks displayed characteristics of a small world network. The most important motivations for selecting collaborators were aligned with advancing the science (i.e., prior collaborators, strong reputation, and good collaborators) rather than relying on human proclivities for homophily, proximity, and friendship. Among a sub-sample of 295 researchers, expertise (individual predictor), status (advice network), and connectedness (collaboration network) were significant predictors of both metrics of academic performance.

Conclusions

Network-based interventions can enhance collaboration and productivity; future research is needed to leverage these data to advance the field.

A typology of collaborative research networks

Purpose

Many studies have investigated how the structure of the collaborative networks of researchers influences the nature of their work, and its outcome. Co-authorship networks (CANs) have been widely looked at as proxies that can help bring understanding to the structure of research collaborative ties. The purpose of this paper is to provide a framework for describing what influences the formation of different research collaboration patterns.

Design/methodology/approach

The authors use social network analysis (SNA) to analyze the co-authorship ego networks of the ten most central authors in 24 years of papers (703 papers and 1,118 authors) published in the Proceedings of CASCON, a computer science conference. In order to understand what lead to the formation of the different CANs the authors examined, the authors conducted semi-structured interviews with these authors.

Findings

Based on this examination, the authors propose a typology that differentiates three styles of co-authorship: matchmaking, brokerage, and teamwork. The authors also provide quantitative SNA-based measures that can help place researchers’ CAN into one of these proposed categories. Given that many different network measures can describe the collaborative network structure of researchers, the authors believe it is important to identify specific network structures that would be meaningful when studying research collaboration. The proposed typology can offer guidance in choosing the appropriate measures for studying research collaboration.

Originality/value

The results presented in this paper highlight the value of combining SNA analysis with interviews when studying CAN. Moreover, the results show how co-authorship styles can be used to understand the mechanisms leading to the formation of collaborative ties among researchers. The authors discuss several potential implications of these findings for the study of research collaborations.

Network ties and transactive memory systems: leadership as an enabler

Purpose

The purpose of this paper is to study the relationship between network ties (NT) and transactive memory systems (TMS), observed through three dimensions – specialization (TMSS), credibility (TMSCR), and coordination (TMSCO) – in the presence of leadership (LDR) as a moderating variable, in university research-and-development (R&D) groups.

Design/methodology/approach

The data are composed of 257 university R&D groups. To confirm the hypotheses, the authors use multiple linear regression analysis with a moderating effect.

Findings

The conclusions show that the relationships between NT and two of the three dimensions of TMS (TMSCR and TMSCO) are significant when LDR is included as a moderating variable. Although the effect of TMSS is positive, it is not significant. Including the interaction element enables better explanation of two of the dimensions of TMS in the sector analyzed. Thus, LDR is perfectly applicable to the university R&D environment.

Research limitations/implications

This research has several limitations that suggest further possibilities for empirical research. The limitations include the cross-sectional nature of the research and the judgment of a single manager as the basis of the perception analyzed for each group.

Practical implications

The authors provide several implications for R&D practitioners. The results of this study could be validated in other universities in other geographic areas, enabling better generalization and applicability of the results. The results described may serve as a guide for group leaders of university R&D. This research helps us to see the importance of LDR in forming internal research networks that help researchers to perform common projects in order to obtain better results in the group. Thus, the groups provided better results to society.

Originality/value

No studies have tested the moderating effect of LDR in university R&D empirically. The results provide information to fill this gap and demonstrate the applicability of LDR as a key element in the organization, improvement, and cohesion of R&D groups.