A churn model of scientific knowledge value: Internet researchers as a knowledge value collective

Bozeman, Barry; Rogers, J. Daniel

doi:10.1016/s0048-7333(01)00146-9

Cited by 88 publications

(40 citation statements)

References 37 publications

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“…Longterm capacity prompts policymakers to emphasize knowledge, economic, and social outputs (Deitz 2000), and this focus on all three encourages a shift to consider the growth and capacity of science and technology (S&T) human capital (Bozeman and Rogers 2002;Bozeman and Corley 2004).…”

Section: Human Capital Theorymentioning

confidence: 99%

A decade beyond the doctorate: the influence of a US postdoctoral appointment on faculty career, productivity, and salary

Yang

Webber

2015

High Educ

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The number of postdoctoral researchers has increased dramatically in the past decade. Because of the limited number of academic staff openings and the general levels of salary, the role and value of the postdoctoral appointment are changing. Using a sample of respondents with continuous data in the 1999 through 2008 Survey of Doctoral Recipients, this study examined whether taking a postdoctoral position contributed to one's faculty career and salary 10 years after doctorate completion. Results show that completing a postdoctoral position positively contributed to working in educational institutions and securing a tenure-track appointment. Taking one, but not two or more, postdoctoral positions increased one's written scholarly productivity. However, the postdoctoral experience had no statistically significant impact on one's salary a decade after degree completion. Implications are discussed for institutional and higher education policy.

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Section: Human Capital Theorymentioning

confidence: 99%

A decade beyond the doctorate: the influence of a US postdoctoral appointment on faculty career, productivity, and salary

Yang

Webber

2015

High Educ

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“…Outcomes stand for changes in the behaviors, relationships, activities and/or actions of the stakeholders (Earl et al, 2001). PVM presents the strength to look at the underlying causal logic of programs by focusing on "Knowledge Value Collectives" (KVC), which are used or developed by the actors' network to enhance and use scientific knowledge (Bozeman, Rogers, 2002). Furthermore, PVM makes the assumption that science is only part of the process leading to social outcomes; thus, it explores alternative explanations to the underlying causal logic of programs.…”

Section: Literature Review On Qualitative Methods For Evaluating Isripmentioning

confidence: 99%

Ex-Post Evaluation of the Impacts of the Science-Based Research and Innovation Program: A New Method Applied in the Case of Farmers’ Transition to Organic Production in the Camargue

Quiédeville¹,

Barjolle²,

Mouret³

et al. 2017

Journal of Innovation Economics &Amp; Management

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“…For the university, outcomes may include new R&D capability, new technology creation, knowledge diffusion or social benefit. Bozeman and Rogers (2002) also suggest a churn model of value creation associated with the uses of knowledge, based on a historical analysis of the Internet. Leven et al (2013) identify potentially quantifiable outcomes from projects stemming from innovation networks (including research publications, new products, new companies, new installations and new jobs).…”

Section: Network Orchestrationmentioning

confidence: 99%

Managing Innovation Clusters: A Network Approach

Rampersad

2015

JMS

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Innovation clusters have attracted increased investment worldwide to strengthen regional innovation. However, these clusters have suffered from high failure rates. This trend is not surprising as the existing literature places an inadequate focus on monitoring the effectiveness of such clusters and developing appropriate strategies to boost their success. This paper investigates approaches for effectively managing innovation clusters using a live Australian case study of the Tonsley innovation cluster, an ambitious, integral solution for economic renewal from a declining traditional manufacturing economy towards advanced manufacturing. Extending network management theory, the study contributes to our understanding of important elements in the formation of innovation clusters and its underlying networks; the management and orchestration of key stakeholders; and the performance monitoring towards achievement of anticipated outcomes. It offers important strategic implications for government, university and industry leaders in effectively managing innovation clusters.

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A churn model of scientific knowledge value: Internet researchers as a knowledge value collective

Cited by 88 publications

References 37 publications

A decade beyond the doctorate: the influence of a US postdoctoral appointment on faculty career, productivity, and salary

A decade beyond the doctorate: the influence of a US postdoctoral appointment on faculty career, productivity, and salary

Ex-Post Evaluation of the Impacts of the Science-Based Research and Innovation Program: A New Method Applied in the Case of Farmers’ Transition to Organic Production in the Camargue

Managing Innovation Clusters: A Network Approach

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