Robust determinants of companies’ capacity to innovate: a Bayesian model averaging approach

Santa, Mijalce; Stojkoski, Viktor; Josimovski, Marko; Trpevski, Igor; Kocarev, Ljupčo

doi:10.1080/09537325.2019.1605052

Cited by 4 publications

(2 citation statements)

References 28 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…BMA leverages Bayesian statistics to account for model uncertainty by estimating each possible specification, and thus evaluating the posterior distribution of each parameter value and probability that a particular model is the correct one 25 . This has allowed the BMA technique to be used in various domains, ranging from studying correlates of economic growth 26 , up to determinants of innovation processes 27 . Recently, it was even applied for estimating the output losses during the Covid-19 pandemic 28 .…”

Section: Preliminariesmentioning

confidence: 99%

Correlates of the country differences in the infection and mortality rates during the first wave of the COVID-19 pandemic: evidence from Bayesian model averaging

Stojkoski

Utkovski

Jolakoski

et al. 2022

Sci Rep

Self Cite

View full text Add to dashboard Cite

The COVID-19 pandemic resulted in great discrepancies in both infection and mortality rates between countries. Besides the biological and epidemiological factors, a multitude of social and economic criteria also influenced the extent to which these discrepancies appeared. Consequently, there is an active debate regarding the critical socio-economic and health factors that correlate with the infection and mortality rates outcome of the pandemic. Here, we leverage Bayesian model averaging techniques and country level data to investigate whether 28 variables, which describe a diverse set of health and socio-economic characteristics, correlate with the final number of infections and deaths during the first wave of the coronavirus pandemic. We show that only a few variables are able to robustly correlate with these outcomes. To understand the relationship between the potential correlates in explaining the infection and death rates, we create a Jointness Space. Using this space, we conclude that the extent to which each variable is able to provide a credible explanation for the COVID-19 infections/mortality outcome varies between countries because of their heterogeneous features.

show abstract

Section: Preliminariesmentioning

confidence: 99%

Correlates of the country differences in the infection and mortality rates during the first wave of the COVID-19 pandemic: evidence from Bayesian model averaging

Stojkoski

Utkovski

Jolakoski

et al. 2022

Sci Rep

Self Cite

View full text Add to dashboard Cite

show abstract

“…Innovation has a profound and significant impact on firms' competitiveness through increased productivity, as shown by a study for transition markets (Ngoc Mai et al, 2019). Santa et al (2019) analyzed the internal and external determinants of companies' innovation capacity based on World Economic Forum data sets of 135 countries over 10 years on a total sample of 1,239 observations. The central determinant based on the application of a holistic approach is direct public and private financial support for research and development.…”

Section: H5: Generation Of the Respondent Has An Effect On The Perception Of Attitudes On Legal Risk Sourcesmentioning

confidence: 99%

GENERATION DISPARITIES ON THE PERCEPTION OF SMEs BUSINESS RISKS

Petráková

Okręglicka

Maňák

et al. 2021

IJEK

View full text Add to dashboard Cite

This article aims to identify common features, disparities, and consequences in the perception of business risks between generation X, Y, and Z entrepreneurs in the segment of small and medium-sized enterprises (SMEs). The empirical part of this research included the dataset of 1585 questionnaires fulfilled by the entrepreneurs from the SME segment from four Central European countries across 2019-2020. The disparities of the perception of business risks were analyzed using Chi-square and Kruskal-Wallis tests. The research results prove the existence of the significant disparities in the perception of the market, financial, personnel, legal, and operational risks sources by the entrepreneurs from X, Y, and Z generations. Generally, essential disparities are in the perception of business risks between generation X and Z. 61.7% of SMEs from generation X believe that the number of possible requests for the specific products/services has a downward trend. In comparison, only 49.0% of SMEs from generation Z and 45.3% of SMEs from generation Y present the same opinion. The presented research results have the following implications: i. top management of SMEs should improve interpersonal relationships in the workplace; ii. fine-tuning of supporting programs by organizations supporting the business environment in the region of the Visegrad Group; iii. preparation of strategic documents dealing with the quality of the business environment or the training of top SME managers in the case of national policymakers.

show abstract

Does innovation capacity reduce tax evasion? Moderating effect of intellectual property rights

Uyar

Bani‐Mustafa

Nimer

et al. 2021

Technological Forecasting and Social Change

View full text Add to dashboard Cite

Robust determinants of companies’ capacity to innovate: a Bayesian model averaging approach

Cited by 4 publications

References 28 publications

Correlates of the country differences in the infection and mortality rates during the first wave of the COVID-19 pandemic: evidence from Bayesian model averaging

Correlates of the country differences in the infection and mortality rates during the first wave of the COVID-19 pandemic: evidence from Bayesian model averaging

GENERATION DISPARITIES ON THE PERCEPTION OF SMEs BUSINESS RISKS

Does innovation capacity reduce tax evasion? Moderating effect of intellectual property rights

Contact Info

Product

Resources

About