A Model for Information Support for Knowledge Workers

Patalas‐Maliszewska, Justyna

doi:10.1515/fman-2015-0003

Cited by 2 publications

(1 citation statement)

References 25 publications

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“…and future breeding/longevity (Weladji et al 2008, Bonenfant et al 2009, Hamel et al 2009, Aubry et al 2011, Fay et al 2016. Many of these studies did not include late-life reproductive traits, and results vary among the few that did.…”

Section: Effect Of Age Class Reproductive Performance On Survivalmentioning

confidence: 99%

Consistent differences among individuals more influential than energetic trade-offs in life history variation in grey seals (Halichoerus grypus)

Badger

Bowen

Heyer

et al. 2021

Preprint

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Life history variation is thought to be mainly a result of energetic trade-offs among fitness components; however, detecting these trade-offs in natural populations has yielded mixed results. Individual quality and environmental variation may mask expected relationships among fitness components because some higher quality individuals may be able to acquire more resources and invest more in all functions. Thus, life history variation may be more affected by variation in individual quality than varying strategies to resolve energetic trade-offs, e.g. costs of reproduction. Here, we investigated whether variation in female quality or costs of reproduction is a larger factor in shaping differences in life history trajectories by assessing the relationship between survival and individual reproductive performance using a 32-year longitudinal data set of repeated reproductive measurements from 273 individually marked, known-aged female grey seals (Halichoerus grypus) from the Sable Island breeding colony. We defined individual reproductive performance using two traits: reproductive frequency (a female’s probability of breeding) and provisioning performance (provisions given to young measured by offspring mass), computed using mixed effects models separately for (1) all reproductive events, and (2) an age-class specific reproductive investment. Individual differences contributed a large portion of the variance in reproductive traits, with individuals displaying a range in individual reproductive frequencies from 0.45 to 0.94, and a range of average pup weaning masses from 34.9 kg to 61.8 kg across their lifetime. We used a Cormack-Jolly-Seber open-population model to estimate the effect of these reproductive performance traits on adult survival probability. Our approach estimated a positive relationship between reproductive performance and survival, where individuals that consistently invest well in their offspring survive longer. The best supported model estimated survival as a function of age-class specific provisioning performance, where late-life performance was quite variable and had the greatest impact on survival, possibly indicating individual variation in senescence. There was no evidence to support a trade-off in reproductive performance and survival at the individual level. These results suggest that in grey seals, individual quality is a stronger driver in life history variation than varying strategies to mitigate trade-offs among fitness components.

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Section: Effect Of Age Class Reproductive Performance On Survivalmentioning

confidence: 99%

Consistent differences among individuals more influential than energetic trade-offs in life history variation in grey seals (Halichoerus grypus)

Badger

Bowen

Heyer

et al. 2021

Preprint

View full text Add to dashboard Cite

show abstract

How to Analyze and Enhance Participation in Electronic Networks of Practice

Charkhsaz,

Isaai,

Dayani

2024

Foundations of Management

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This study proposes an exploratory methodology for analyzing participation in Electronic Networks of Practice, focusing on a network of 500 specialists in breast cancer treatment as a case study. The research addresses a critical gap in understanding how conversational dynamics influence participation in professional forums. Conversation measures and participation measures reported in the literature are identified and categorized, and new ones are suggested. This study by correlation analysis reveals three key participation triggers: initiator features, timing of initiation, and feedback, while also identifying non-associated variables like conversation topic and expression. Clustering categorizes conversations into four types, each exhibiting participation patterns and attributes. Social network analysis further reveals the network’s structure and participants’ interrelations. These findings provide a comprehensive understanding of participation in Electronic Networks of Practice and show the methodology’s broader applicability in analyzing professional networks. The study’s insights are vital for practitioners and theorists by offering a perspective on fostering knowledge sharing.

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A Model for Information Support for Knowledge Workers

Cited by 2 publications

References 25 publications

Consistent differences among individuals more influential than energetic trade-offs in life history variation in grey seals (Halichoerus grypus)

Consistent differences among individuals more influential than energetic trade-offs in life history variation in grey seals (Halichoerus grypus)

How to Analyze and Enhance Participation in Electronic Networks of Practice

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