No Firm Is an Island: The Role of Population-Level Actors in Organizational Learning from Failure

2018 ◽  
Vol 29 (4) ◽  
pp. 739-753 ◽  
Author(s):  
Peter M. Madsen ◽  
Vinit Desai
Oecologia ◽  
2021 ◽  
Author(s):  
Peng He ◽  
Pierre-Olivier Montiglio ◽  
Marius Somveille ◽  
Mauricio Cantor ◽  
Damien R. Farine

AbstractBy shaping where individuals move, habitat configuration can fundamentally structure animal populations. Yet, we currently lack a framework for generating quantitative predictions about the role of habitat configuration in modulating population outcomes. To address this gap, we propose a modelling framework inspired by studies using networks to characterize habitat connectivity. We first define animal habitat networks, explain how they can integrate information about the different configurational features of animal habitats, and highlight the need for a bottom–up generative model that can depict realistic variations in habitat potential connectivity. Second, we describe a model for simulating animal habitat networks (available in the R package AnimalHabitatNetwork), and demonstrate its ability to generate alternative habitat configurations based on empirical data, which forms the basis for exploring the consequences of alternative habitat structures. Finally, we lay out three key research questions and demonstrate how our framework can address them. By simulating the spread of a pathogen within a population, we show how transmission properties can be impacted by both local potential connectivity and landscape-level characteristics of habitats. Our study highlights the importance of considering the underlying habitat configuration in studies linking social structure with population-level outcomes.


The Lancet ◽  
2019 ◽  
Vol 394 ◽  
pp. S28
Author(s):  
Heather Brown ◽  
Luke Munford ◽  
Anna Wilding ◽  
Tomos Robinson ◽  
Paula Holland ◽  
...  

2014 ◽  
Vol 17 (3) ◽  
pp. 161-173 ◽  
Author(s):  
María Isabel Barba Aragón ◽  
Daniel Jiménez Jiménez ◽  
Raquel Sanz Valle

2017 ◽  
Vol 39 (3) ◽  
pp. 317-334 ◽  
Author(s):  
Johanna Macneil ◽  
Ziheng Liu

Purpose The purpose of this paper is to explain progress, or the lack of it, in achieving workplace gender equality goals prescribed by affirmative action regulation by using concepts from soft regulation and organizational learning. Design/methodology/approach The research design is a longitudinal study (2002-2012) of a critical case, that of a single large organization in the male-dominated steel manufacturing, distribution and mining industries. The case focusses on the evidence about organizational learning to be found in that organization’s reports to government on its activities to promote workplace gender equality. Findings While other factors play a role, the apparent failure of the soft regulation to generate a significant shift in gender equality outcomes may also be attributed to ineffective organizational learning, demonstrated by the absence of systematic reflection within the organization on how to improve workplace gender equality, and the lack of firm targets and external benchmarking. Research limitations/implications Self-reported data may be overstated or incomplete. More research is needed to confirm the nature of the specific learning processes occurring within organizations. Practical implications Absent the advent of hard sanctions in workplace gender equality regulation, the responsible government agencies may find it valuable to focus on ways to encourage target organizations to develop competence in organizational learning. Social implications More effective gender equality regulation may change organizational policy and practice and improve work opportunities for women. Originality/value Rather than concluding that the only alternative, when soft regulation is unsuccessful, is hard regulation, this paper shifts the focus to ways that soft regulatory processes might be improved to strengthen their effect.


Author(s):  
MIchelle Gayo ◽  
Leandro Ferreira Pereira ◽  
Renato Lopes Da Costa ◽  
Rui Gonçalves ◽  
Álvaro Dias

2018 ◽  
Vol 115 (48) ◽  
pp. 12313-12318 ◽  
Author(s):  
Gang Wu ◽  
Marc D. Ruben ◽  
Robert E. Schmidt ◽  
Lauren J. Francey ◽  
David F. Smith ◽  
...  

Skin is the largest organ in the body and serves important barrier, regulatory, and sensory functions. The epidermal layer shows rhythmic physiological responses to daily environmental variation (e.g., DNA repair). We investigated the role of the circadian clock in the transcriptional regulation of epidermis using a hybrid experimental design, in which a limited set of human subjects (n = 20) were sampled throughout the 24-h cycle and a larger population (n = 219) were sampled once. We found a robust circadian oscillator in human epidermis at the population level using pairwise correlations of clock and clock-associated genes in 298 epidermis samples. We then used CYCLOPS to reconstruct the temporal order of all samples, and identified hundreds of rhythmically expressed genes at the population level in human epidermis. We compared these results with published time-series skin data from mice and found a strong concordance in circadian phase across species for both transcripts and pathways. Furthermore, like blood, epidermis is readily accessible and a potential source of biomarkers. Using ZeitZeiger, we identified a biomarker set for human epidermis that is capable of reporting circadian phase to within 3 hours from a single sample. In summary, we show rhythms in human epidermis that persist at the population scale and describe a path to develop robust single-sample circadian biomarkers.


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