The Internationalisation of Family Firms: the Role of the Ownership Structure and the Composition of Top Management Team

Wąsowska, Aleksandra

doi:10.15678/eber.2017.050110

Cited by 23 publications

(19 citation statements)

References 54 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…If an Ebola vaccine is not perfectly effective, as has been suggested for the vaccine used in the ongoing Ebola epidemic [30], the possibility that vaccination might mask symptoms while not completely stopping infectiousness could be included in our approach. A model that includes spatial spread of the pathogen or transmission through social contact networks might be required to replicate observed data [31,32], or different geographical areas could be considered separately [2,4]. To demonstrate the principle that variable symptoms can affect predictions of the effects of interventions, we assumed that all infected individuals pass through three stages of an Ebola infection (from non-specific symptoms, to a gastrointestinal phase and then to a deterioration phase), whereas in reality some hosts might recover rather than passing to the deterioration phase [14].…”

Section: Discussionmentioning

confidence: 99%

“…The current epidemic in the Democratic Republic of Congo is the second largest in history, with 663 cases (614 confirmed and 49 probable) having been recorded as of 15 th January 2019 [1]. Mathematical models are increasingly used for exploring the effects of different possible control interventions during Ebola epidemics [2–4]. The values of model parameters are chosen so that the model output matches observed epidemic data (model fitting; Fig 1A), and then interventions are introduced in the fitted model to predict how the course of the epidemic is altered by different possible control strategies (intervention testing; Fig 1B).…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Accurate forecasts of the effectiveness of interventions against Ebola may require models that account for variations in symptoms during infection

Hart

Hochfilzer

Cunniffe

et al. 2019

Preprint

View full text Add to dashboard Cite

18 19 Epidemiological models are routinely used to predict the effects of interventions aimed at 20 reducing the impacts of Ebola epidemics. Most models of interventions targeting 21 symptomatic hosts, such as isolation or treatment, assume that all symptomatic hosts are 22 Liberia. However, for both of these epidemics, when interventions are altered identically 32 in the models with and without levels of symptoms that depend on the time since first 33 infection, predictions from the models differ. Our work highlights the need to consider 34 whether or not varying symptoms should be accounted for in models used by decision 35 makers to assess the likely efficacy of Ebola interventions. 36 37 KEYWORDS 38 Ebola virus disease; Mathematical modelling; Epidemic forecasting; Infectious disease 39 management; Disease control; Interventions 40 41 on epidemic dynamics. Here, an intensification of surveillance is assumed to lead to improved detection 56 and control of infectious hosts, thereby reducing the total number of cases. A. Model fitting. Model57 parameters are chosen so that the model output (black dotted) approximates epidemic data (red stars) B. 58 Intervention testing. A range of alternative control interventions are introduced into the fitted model, and 59 predicted dynamics under these new control interventions can be observed -predictions of the effects of 60 reduced surveillance (green), slightly intensified surveillance (blue) and significantly intensified surveillance 61 (red).62 63 64 A commonly used model for characterising epidemics of diseases including Ebola is the 65Susceptible-Exposed-Infectious-Recovered (SEIR) model [5][6][7], and extensions to this 66 basic model include explicit incorporation of transmission from Ebola deceased hosts [8-67 10] or accounting for mismatches between symptoms and infectiousness [11,12]. 68Possible interventions include isolation of symptomatic hosts, which can be included in 69 the SEIR model by removing individuals from the infectious class. All individuals in the 70 infectious class are usually assumed to be symptomatic, with the level of symptoms being 71 assumed constant and therefore independent of the stage of infection. As an example, 72Chowell et al. [13] assume that symptomatic individuals are isolated at a constant rate, 73and Meakin et al. [4] assume that symptomatic individuals are hospitalised at a constant 74 rate. 75

show abstract

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Accurate forecasts of the effectiveness of interventions against Ebola may require models that account for variations in symptoms during infection

Hart

Hochfilzer

Cunniffe

et al. 2019

Preprint

View full text Add to dashboard Cite

show abstract

“…Family firms have unique features built on human, social and financial capital which are the subject of resource-based view emphasized by family management literature (e.g. Colli 2013;Wąsowska, 2017). Nevertheless, family involvement may also have a negative influence on the company performance (at least at some stages of development) because of the competences and openness constraints, too conservative approach, favouring family employment, etc.…”

Section: Hypothesis 3: Export Performance Depends On the Family Managmentioning

confidence: 99%

What drives export performance of firms in Eastern and Western Poland?

Gajewski

Tchorek

2017

European Planning Studies

View full text Add to dashboard Cite

We use a unique firm-level survey dataset that draws from the EFIGE (European Firms In Global Economy) questionnaire, to unveil differences in factors driving export performance in structurally most diverse areas of Poland. While conventional results about the role of size, foreign ownership and innovation activity are confirmed at the aggregate level, the picture breaks down when Western and Eastern macroregions are extracted.Our results suggest that the common perception of a more developed West (Poland "A") and a backward East (Poland "B") might be outdated. Rather, firms in both regions seem to follow distinct strategies and have dissimilar success factors for competing internationally. Interestingly, export performance in the East is found to benefit from family ties in business, but also product innovation and non-price competitiveness. In the West, it is in turn associated mostly with size and foreign ownership. Overall, our results on the one hand add support to the 'New' new trade theory and 'New' new economic geography's premises related to the importance of microeconomic factors and, on the other, shed a new light on the pattern of regional development in Poland. We also discuss some implications for policy makers and managers and suggest directions of further research.

show abstract

“…The field of epidemiological modelling is centuries old [1][2][3][4][5][6][7][8][9][10]. However, in the past 20 years, modelling has increasingly been used to advise policy during outbreaks [11][12][13][14][15][16]. Models can be used to forecast the total number of cases (e.g.…”

Section: Introductionmentioning

confidence: 99%

“…Models can be used to forecast the total number of cases (e.g. [13]), as well as to inform intervention strategies (e.g. [11,17]).…”

Section: Introductionmentioning

confidence: 99%

Detection, forecasting and control of infectious disease epidemics: modelling outbreaks in humans, animals and plants

Thompson

Brooks-Pollock

2019

Phil. Trans. R. Soc. B

View full text Add to dashboard Cite

The 1918 influenza pandemic is one of the most devastating infectious disease epidemics on record, having caused approximately 50 million deaths worldwide. Control measures, including prohibiting non-essential gatherings as well as closing cinemas and music halls, were applied with varying success and limited knowledge of transmission dynamics. One hundred years later, following developments in the field of mathematical epidemiology, models are increasingly used to guide decision-making and devise appropriate interventions that mitigate the impacts of epidemics. Epidemiological models have been used as decision-making tools during outbreaks in human, animal and plant populations. However, as the subject has developed, human, animal and plant disease modelling have diverged. Approaches have been developed independently for pathogens of each host type, often despite similarities between the models used in these complementary fields. With the increased importance of a One Health approach that unifies human, animal and plant health, we argue that more inter-disciplinary collaboration would enhance each of the related disciplines. This pair of theme issues presents research articles written by human, animal and plant disease modellers. In this introductory article, we compare the questions pertinent to, and approaches used by, epidemiological modellers of human, animal and plant pathogens, and summarize the articles in these theme issues. We encourage future collaboration that transcends disciplinary boundaries and links the closely related areas of human, animal and plant disease epidemic modelling. This article is part of the theme issue ‘Modelling infectious disease outbreaks in humans, animals and plants: approaches and important themes’. This issue is linked with the subsequent theme issue ‘Modelling infectious disease outbreaks in humans, animals and plants: epidemic forecasting and control’.

show abstract

The Internationalisation of Family Firms: the Role of the Ownership Structure and the Composition of Top Management Team

Cited by 23 publications

References 54 publications

Accurate forecasts of the effectiveness of interventions against Ebola may require models that account for variations in symptoms during infection

Accurate forecasts of the effectiveness of interventions against Ebola may require models that account for variations in symptoms during infection

What drives export performance of firms in Eastern and Western Poland?

Detection, forecasting and control of infectious disease epidemics: modelling outbreaks in humans, animals and plants

Contact Info

Product

Resources

About