Organization theory and new ways of working in science

Cummings, Jonathon N.; Kiesler, Sara

doi:10.1109/acsip.2011.6064466

Cited by 5 publications

(2 citation statements)

References 51 publications

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“…A cluster analysis of scientific collaborations in physics by Chompalov et al ( 4 ) revealed that the variety of organizational formats of collaborative projects range from formal and bureaucratic to informal and participatory. Recent studies show that scientific collaboration across disciplines and institutions is growing ( 5 , 6 ). However, most studies of scientific teams analyze either observed interactions between team members or products of teamwork, especially publications.…”

Section: Introductionmentioning

confidence: 99%

Scientific Collaborations: How Do We Measure the Return on Relationships?

Fair

Stokes

Pennington

et al. 2016

Front. Public Health

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Emerging infectious diseases (EIDs), the majority of which are zoonotic, represent a tremendous challenge for public health and biosurveillance infrastructure across the globe. Due to the complexity of zoonotic pathogens, it is essential that research and response to EIDs be a transdisciplinary effort. And while crisis and circumstance may be the initial catalyst for responding to an outbreak, we provide examples of how transdisciplinary scientific collectives, which are organized and solidified in advance of crises, can transform the way the world responds to outbreaks and in some cases could even prevent one from occurring (1). Current methods for assessing whether a cooperative engagement between countries is producing measurable and sustainable value is based on the ideas of return on investment and do not consider the inherent importance of relationships. In this article, we apply the idea of return on relationships (ROR) and propose a method for measuring ROR, using a system dynamics modeling framework commonly used in epidemiology. Tracking the numerous and diverse scientific collaborations that emerged from a training workshop for biosurveillance of bats held in Singapore in 2014, we apply a methodology for visualizing and measuring the relationship networks and outcomes that result. Additionally, the collaborative, multidisciplinary network that coalesced in response to the Hantavirus outbreak in New Mexico is 1993 is discussed as an example of the long-term benefits of ROR.

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Section: Introductionmentioning

confidence: 99%

Scientific Collaborations: How Do We Measure the Return on Relationships?

Fair

Stokes

Pennington

et al. 2016

Front. Public Health

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“…At the same time, the processes of interdisciplinary research collaboration and methods that would encourage and support interdisciplinary research teamwork in higher education institutions are not well understood (Falk-Krzesinski et al, 2011). As Cummings and Kiesler (2011) observed, "little is known about how (and if) universities create values, procedures, and structures wherein interdisciplinary science is central" (p. 3). This study aimed to address this gap and asked the following research question:…”

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confidence: 99%

Critical factors impacting interdisciplinary university research teams of small size

Ткаченко¹,

Ardichvili

2020

TPM

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Purpose This study aims to explore key factors influencing the work of interdisciplinary university research teams of small size. Design/methodology/approach This is a multiple-case study of four interdisciplinary university research teams of small size in which science and/or engineering was an important component. Findings Data analysis revealed 17 critical factors classified into five groups. Although some factors were more influential than others, it was rather multiple factors at various levels of analysis, and not a single factor, that influenced the work of research teams. Another important finding was the identified need to develop project management capacity of university researchers. The study also revealed two strategies, conditioned on the availability of funds, that small university research teams use as a way to adapt to situational demands and research opportunities. Originality/value Although previous research examined various aspects pertinent to the work of industry research teams and large research groups, empirical research into interdisciplinary university research teams of small size has been limited.

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Enhancing the Effectiveness of Team Science

Cooke¹,

Hilton²,

Behavioral³

2015

132

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This chapter summarizes the research literature on team effectiveness, highlighting findings on the key features that create challenges for team science outlined in Chapter 1. Based on its review of the literature (e.g., Kozlowski and Ilgen, 2006; Marks, Mathieu, and Zaccaro, 2001; Salas, Goodwin, and Burke, 2009), the committee defines team effectiveness as follows: Team effectiveness, also referred to as team performance, is a team's capacity to achieve its goals and objectives. This capacity to achieve goals and objectives leads to improved outcomes for the team members (e.g., team member satisfaction and willingness to remain together) as well as outcomes produced or influenced by the team. In a science team or larger group, the outcomes include new research findings or methods and may also include translational applications of the research.

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Organization theory and new ways of working in science

Cited by 5 publications

References 51 publications

Scientific Collaborations: How Do We Measure the Return on Relationships?

Scientific Collaborations: How Do We Measure the Return on Relationships?

Critical factors impacting interdisciplinary university research teams of small size

Enhancing the Effectiveness of Team Science

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