Teaming in biotechnology commercialisation: The diversity-performance connection and how university programmes can make a difference

2009 ◽  
Vol 15 (1) ◽  
Author(s):  
Anne S York ◽  
Kim A McCarthy ◽  
Todd C Darnold
Keyword(s):  
Critical Issue ◽  
Team Members ◽  
Team Outcomes ◽  
Midwestern University ◽  
Group Members ◽  
Diversity Issues ◽  
Functionally Diverse ◽  
High Degree ◽  
Technology Commercialisation

Collaboration across disciplines in the sciences is on the rise. Yet, practitioner papers abound that describe a range of dysfunctional team experiences, especially in contexts where science and business intersect. A critical issue currently preventing successful bioscience commercialisation is management's lack of ‘soft skills,’ such as the ability to direct complex and functionally diverse teams to achieve productive outcomes. Our paper first reviews the diversity and teaming literature from several disciplinary perspectives in order to better understand how different types of diversity affect team outcomes and processes, as well as how to create higher functioning teams to engage in bioscience technology commercialisation. Research suggests that the ‘surface-level’ diversity issues associated with demographic and disciplinary differences may diminish over time, as team members move beyond initial stereotypes and gain more knowledge about their fellow group members. However, problems stemming from ‘deep-level’ diversity such as personality and values differences are more difficult to overcome and require a high degree of interaction frequency among team members, as well as strong communication skills. Going beyond the literature review, we demonstrate how these ‘lessons learned’ can be addressed through bioscience entrepreneurship education, using a case study of a Midwestern university programme funded by an NSF Partnerships for Innovation grant.

scholarly journals Elaborating on Team-Member Disagreement: Examining Patterned Dispersion in Team-Level Constructs

2018 ◽  
Vol 44 (1) ◽  
pp. 165-210 ◽  
Author(s):  
Andrew C. Loignon ◽  
David J. Woehr ◽  
Misty L. Loughry ◽  
Matthew W. Ohland
Keyword(s):  
Team Member ◽  
Theoretical Frameworks ◽  
Individual Group ◽  
Team Members ◽  
Team Outcomes ◽  
Emergent States ◽  
Multilevel Theory ◽  
Group Members ◽  
The Mean ◽  
Mean Differences

Emergent states are team-level attributes that reflect team members’ collective attitudes, values, cognitions, and motivations and influence team effectiveness. When measuring emergent states (e.g., cohesion, conflict, satisfaction), researchers frequently collect ratings from individual group members and aggregate them to the team level. After aggregating to the team level, researchers typically focus on mean differences across teams and ignore variability within teams. Rather than focusing on the mean level of emergent states, this study draws on recent advances in multilevel theory and describes an approach for examining the specific patterns of dispersion (i.e., disagreement) across five emergent states. Our findings suggest that teams reliably demonstrate different patterns of rating dispersion that are consistent with existing theoretical frameworks and typologies of dispersion, yet have not previously been empirically demonstrated. We also present evidence that the different patterns of dispersion in emergent states are significantly related to key team outcomes, even after controlling for the mean levels of those emergent states. These findings underscore the importance of exploring additional forms of team-level constructs and highlight ways of extending our understanding of group-level phenomena.

scholarly journals “Dangerous conversations”: a case study involving language

2015 ◽  
Vol 34 (5) ◽  
pp. 439-451
Author(s):  
Iolo Madoc-Jones ◽  
Dawn Jones ◽  
Odette Parry ◽  
Sarah Dubberley
Keyword(s):  
Service Providers ◽  
Small Sample Size ◽  
Minority Group ◽  
Small Sample ◽  
Power Relationships ◽  
Content Type ◽  
Language Choices ◽  
Group Members ◽  
Diversity Issues

Purpose – Drawing on the approach of Bourdieu (1977, 1986), and using language as an exemplar, the purpose of this paper is to engage in a “dangerous conversation” to explore how and why issues of diversity were mobilised, ignored and leveraged in one particular service context. Design/methodology/approach – Qualitative research exploring the language choices of 25 service users who had been processed through the criminal Justice System in Wales in the last five years. Findings – The argument is made that in some service contexts, a habitus obtains that renders reflexivity about diversity issues problematic and predicates against the critical reflection necessary to promote anti-oppressive practice. Research limitations/implications – Small sample size, not generalisable. Practical implications – The authors intend the paper to encourage greater reflection on instances when diversity issues are raised and to render simplistic any attempt to invalidate claims of discrimination. Social implications – Encourage dialogue about claims of discrimination and greater reflection by service providers about the legitimacy of such claims. Originality/value – Anti-oppressive theorising has, for the most part, constructed minority group members as passive victims within hierarchical power relationships. While acknowledging how power is unequally distributed, the paper challenges hierarchical models which designate minority group members as bereft of power.

Maximizing Expertise and Collaboration to Support Students With Brain Injury: A Case Study in Speech-Language Pathology

2019 ◽  
Vol 4 (6) ◽  
pp. 1267-1282
Author(s):  
Jessica Salley ◽  
Sarah Krusen ◽  
Margaret Lockovich ◽  
Bethany Wilson ◽  
Brenda Eagan-Johnson ◽  
...  
Keyword(s):  
Brain Injury ◽  
Medical Setting ◽  
Speech Language Pathology ◽  
Speech Language Pathologists ◽  
Team Members ◽  
School Activities ◽  
School Based ◽  
Language Pathology ◽  
Specialized Education

Purpose Through a hypothetical case study, this article aimed to describe an evidence-based approach for speech-language pathologists in managing students with moderate-to-severe traumatic brain injury (TBI), particularly within a formal statewide-supported school-based brain injury team model, such as the BrainSTEPS Brain Injury School Consulting Program operating in Pennsylvania and Colorado. Conclusion Upon transitioning from the medical setting back to school, children with TBI present with unique educational needs. Children with moderate-to-severe TBIs can demonstrate a range of strengths and deficits in speech, language, cognition, and feeding and swallowing, impacting their participation in various school activities. The specialized education, training, and insight of speech-language pathologists, in collaboration with multidisciplinary medical and educational team members, can enable the success of students with TBI when transitioning back to school postinjury ( DePompei & Blosser, 2019 ; DePompei & Tyler, 2018 ). This transition should focus on educational planning, implementation of strategies and supports, and postsecondary planning for vocations or higher education.

From whom do we learn group norms? Low-ranking group members are perceived as the best sources

2020 ◽  
Author(s):  
Jennifer E Dannals ◽  
Emily Reit ◽  
Dale T. Miller
Keyword(s):  
Social Norms ◽  
Correlation Study ◽  
Team Members ◽  
Norm Perception ◽  
Lower Ranking ◽  
Group Members ◽  
Groups And Teams ◽  
Or Team ◽  
And Behavior ◽  
To Receive

Social norm perception is ubiquitous in small groups and teams, but how individuals approach this process is not well understood. When individuals wish to perceive descriptive social norms in a group or team, whose ad- vice and behavior do they prefer to rely on? Four lab studies and one Teld survey demonstrate that when in- dividuals seek information about a team’s social norms they prefer to receive advice from lower-ranking indi- viduals (Studies 1–4) and give greater weight to the observed behavior of lower-ranking individuals (Study 5). Results from correlation (Study 3) and moderation (Study 4) approaches suggest this preference stems from the assumption that lower-ranking team members are more attentive to and aware of the descriptive social norms of their team. Alternative mechanisms (e.g., perceived similarity to lower-ranking team members, greater honesty of lower-ranking team members) were also examined, but no support for these was found.

Corporate acceleration process: a systems psychodynamics perspective

2020 ◽  
Vol 33 (6) ◽  
pp. 1163-1180
Author(s):  
Piotr Wójcik ◽  
Krzysztof Obłój ◽  
Aleksandra Wąsowska ◽  
Szymon Wierciński
Keyword(s):  
Open Innovation ◽  
Negative Emotions ◽  
Acceleration Process ◽  
Content Type ◽  
Team Members ◽  
Third Phase ◽  
Multiple Case ◽  
Social Defenses ◽  
Practical Implications

PurposeThe purpose of this paper is to explore the emotional dynamics of the corporate acceleration process, using the systems psychodynamics perspective.Design/methodology/approachThe study applies inductive multiple case study of embedded 10 cases of corporate acceleration, covering both incumbent and startup perspectives, occurring in the context of a corporate accelerator.FindingsWe find that (1) the process of corporate acceleration involves three phases, each of them is dominated by a different emotional state (hope, anxiety and acceptance), triggering different behavioral responses; (2) as a means to deal with negative emotions, entrepreneurs and corporate acceleration program's team members develop different mechanisms of dealing with contradictories in subsequent acceleration phases (defense and copying mechanisms), which are reflected in their behaviors. Coping mechanisms with goal reformulation (i.e. refocus from the officially declared “open innovation” goals toward mainly symbolic ones) is an effective strategy to manage negative emotions in third phase of the acceleration.Research limitations/implicationsOur sample is limited to two relatively similar accelerators established by telecom companies, and therefore, our theoretical and practical conclusions cannot be generalized.Practical implicationsWe supplement the studies of corporate accelerators that imply how to design them better and improve decision-making rules with recommendation that in order to improve their effectiveness in terms of learning and innovations, their managers need not only to learn how to manage structural and procedural differences but also how to overcome social defenses triggered by corporate–startups cooperation.Originality/valueBy documenting a multidimensional impact of acceleration process, and especially shedding light on psychodynamic aspects behind such liaisons, this paper contributes to richer understanding of corporate–startup relationships, typically examined through a rationalistic lens of strategy literature. The study contributes to interorganizational research and open innovation literature, by showing that corporate acceleration process is marked by phases based on the type of emotions intertwined with the nature and dynamism of its life cycle. It indicates how these emotions are managed depending on their type.

scholarly journals Reservoir Sediment Management Using Artificial Neural Networks: A Case Study of the Lower Section of the Alpine Saalach River

Water ◽  
2021 ◽  
Vol 13 (6) ◽  
pp. 818
Author(s):  
Markus Reisenbüchler ◽  
Minh Duc Bui ◽  
Peter Rutschmann
Keyword(s):  
Real World ◽  
Close Correlation ◽  
Critical Issue ◽  
Management Tool ◽  
Lower Section ◽  
Reservoir Sediment ◽  
Efficiency And Effectiveness ◽  
Artificial Neural ◽  
Artificial Neural Network Ann

Reservoir sedimentation is a critical issue worldwide, resulting in reduced storage volumes and, thus, reservoir efficiency. Moreover, sedimentation can also increase the flood risk at related facilities. In some cases, drawdown flushing of the reservoir is an appropriate management tool. However, there are various options as to how and when to perform such flushing, which should be optimized in order to maximize its efficiency and effectiveness. This paper proposes an innovative concept, based on an artificial neural network (ANN), to predict the volume of sediment flushed from the reservoir given distinct input parameters. The results obtained from a real-world study area indicate that there is a close correlation between the inputs—including peak discharge and duration of flushing—and the output (i.e., the volume of sediment). The developed ANN can readily be applied at the real-world study site, as a decision-support system for hydropower operators.

CSim 2

2021 ◽  
Vol 43 (1) ◽  
pp. 1-46
Author(s):  
David Sanan ◽  
Yongwang Zhao ◽  
Shang-Wei Lin ◽  
Liu Yang
Keyword(s):  
Programming Languages ◽  
Concurrent Systems ◽  
Theorem Prover ◽  
Compositional Techniques ◽  
Machine Code ◽  
Top Down ◽  
Hol Theorem Prover ◽  
High Level ◽  
High Degree

To make feasible and scalable the verification of large and complex concurrent systems, it is necessary the use of compositional techniques even at the highest abstraction layers. When focusing on the lowest software abstraction layers, such as the implementation or the machine code, the high level of detail of those layers makes the direct verification of properties very difficult and expensive. It is therefore essential to use techniques allowing to simplify the verification on these layers. One technique to tackle this challenge is top-down verification where by means of simulation properties verified on top layers (representing abstract specifications of a system) are propagated down to the lowest layers (that are an implementation of the top layers). There is no need to say that simulation of concurrent systems implies a greater level of complexity, and having compositional techniques to check simulation between layers is also desirable when seeking for both feasibility and scalability of the refinement verification. In this article, we present CSim 2 a (compositional) rely-guarantee-based framework for the top-down verification of complex concurrent systems in the Isabelle/HOL theorem prover. CSim 2 uses CSimpl, a language with a high degree of expressiveness designed for the specification of concurrent programs. Thanks to its expressibility, CSimpl is able to model many of the features found in real world programming languages like exceptions, assertions, and procedures. CSim 2 provides a framework for the verification of rely-guarantee properties to compositionally reason on CSimpl specifications. Focusing on top-down verification, CSim 2 provides a simulation-based framework for the preservation of CSimpl rely-guarantee properties from specifications to implementations. By using the simulation framework, properties proven on the top layers (abstract specifications) are compositionally propagated down to the lowest layers (source or machine code) in each concurrent component of the system. Finally, we show the usability of CSim 2 by running a case study over two CSimpl specifications of an Arinc-653 communication service. In this case study, we prove a complex property on a specification, and we use CSim 2 to preserve the property on lower abstraction layers.

scholarly journals Urban Rivers Corridors in the Don Catchment, UK: From Ignored, Ignoble and Industrial to Green, Seen and Celebrated

2021 ◽  
Vol 13 (14) ◽  
pp. 7646
Author(s):  
Ed Shaw ◽  
Debbie Coldwell ◽  
Anthony Cox ◽  
Matt Duffy ◽  
Chris Firth ◽  
...  
Keyword(s):  
Industrial Revolution ◽  
Urban River ◽  
Urban Rivers ◽  
River Habitat ◽  
Negative Perceptions ◽  
High Degree ◽  
River Corridors ◽  
Advance Knowledge ◽  
Ecological Recovery

Research on urban rivers often seeks to find commonalities to advance knowledge of the effect of urbanisation on rivers, and rightly so. But it is important, also, to develop a complementary understanding of how urban rivers can be distinct, to facilitate a more nuanced view of concepts such as the ‘urban river syndrome’ and of the challenges facing those who wish to create more sustainable urban river corridors. To this end we use the Don Catchment as a case study to illustrate how historic patterns of urbanisation have been fundamental in shaping the catchment’s rivers. Following the Industrial Revolution, the catchment became an industrial centre, resulting in the ecological death of river ecosystems, and the disconnection of communities from stark urban river corridors. Widescale deindustrialisation in the 1970s and 1980s then resulted in a partial ecological recovery of the rivers, and ignited public interest. This history has imbued the catchment’s urban river corridors with a distinctive industrial character that can vary greatly between and within settlements. It has also left a legacy of particular issues, including a high degree of river habitat fragmentation and physical modification, and of negative perceptions of the rivers, which need improving to realise their potential as assets to local communities.

Living and Dying in an Employee Assistance Program

1995 ◽  
Vol 25 (2) ◽  
pp. 363-378 ◽  
Author(s):  
Norman K. Denzin
Keyword(s):  
Natural History ◽  
Personal Narratives ◽  
Employee Assistance Program ◽  
Study Analysis ◽  
Employee Assistance ◽  
Assistance Program ◽  
Case Study Analysis ◽  
Midwestern University

A contextual natural history, case study analysis of what happened to an Employee Assistance Program (EAP) at Midwestern University is offered. Personal narratives depicting the consequences of this change are presented and analyzed.

Probabilistic nature of storage delay parameter of the hydrologic model RORB: a case study for the Cooper's Creek catchment in Australia

2014 ◽  
Vol 46 (3) ◽  
pp. 400-410 ◽  
Author(s):  
Hitesh Patel ◽  
Ataur Rahman
Keyword(s):  
Hydrologic Model ◽  
Exceedance Probability ◽  
Design Flood ◽  
Flood Peak ◽  
Monte Carlo Simulation Technique ◽  
South Wales ◽  
Accurate Design ◽  
High Degree ◽  
Probabilistic Nature

In rainfall–runoff modeling, Design Event Approach is widely adopted in practice, which assumes that the rainfall depth of a given annual exceedance probability (AEP), can be converted to a flood peak of the same AEP by assuming a representative fixed value for the other model inputs/parameters such as temporal pattern, losses and storage-delay parameter of the runoff routing model. This paper presents a case study which applies Monte Carlo simulation technique (MCST) to assess the probabilistic nature of the storage delay parameter (kc) of the RORB model for the Cooper's Creek catchment in New South Wales, Australia. It has been found that the values of kc exhibit a high degree of variability, and different sets of plausible values of kc result in quite different flood peak estimates. It has been shown that a stochastic kc in the MCST provides more accurate design flood estimates than a fixed representative value of kc. The method presented in this study can be adapted to other catchments/countries to derive more accurate design flood estimates, in particular for important flood study projects, which require a sensitivity analysis to investigate the impacts of parameter uncertainty on design flood estimates.

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