Bibliometric Analysis of Financial Risk Assessment in Baltic Countries
DOI:
https://doi.org/10.2478/eb-2018-0015Keywords:
Baltic region, bibliometric analysis, financial risk assessment, enterprise death rateAbstract
The article represents the bibliometric analysis of risk assessment in Baltic countries relying on scientific database. The purpose of this analysis is to study trends and development of scientific research when evaluating financial risks as well as reveal resources with high impact to apply content analysis that could be used for future research on the topic. The applied investigation methods were chosen based on the analysis of existing scientometric data: the number and dynamics of published documents; their subject area and type; territory/country; source title; affiliation; authors; h-index; citation overview followed by search results as well as adopting search references to reveal the used and cited documents. The authors also present the applied deduction of trends between enterprise death rate in Latvia, Lithuania, and Estonia and the number of documents in the referenced period. This study demonstrates that the amount of research increased significantly when countries face rises in enterprise death rates.References
Bornmann, L., & Daniel, H. (2008). What do Citation Counts Measure? A Review of Studies on Citing Behaviour. Journal of Documentation, 64(1), 45-80. https://doi.org/10.1108/00220410810844150
Box, M. (2008). The Death of Firms: Exploring the Effects of Environment and Birth Cohort on Firm Survival in Sweden. Small Business Economics: an Entrepreneurship Journal, 31(4), 379-393. https://doi.org/10.1007/s11187-007-9061-2
Chen, H., Chiang, R.H.L., & Storey, V.C. (2012). Business Intelligence and Analytics: from Big Data to big Impact. MIS Quarterly: Management Information Systems, 36(4), 1165-1188.
Chang, C.C., & Ho, Y.S. (2010). Bibliometric Analysis of Financial Crisis Research. African Journal of Business Management, 18(4), 3898-3910. Retrieved from http://www.academicjournals.org/journal/AJBM/article-full-text-pdf/28464D616041
Elsvier (2017). Scopus: Access and use Support Center. How can I use an h-graph? Retrived from https://service.elsevier.com/app/answers/detail/a_id/11214/supporthub/scopus/related/1/
Eurostat (2017). Death rate: number of enterprise deaths in the reference period (t) divided by the number of enterprises active in t. Retrieved from https://goo.gl/o1jgJQ
Mishra, D., Gunasekaran, A., Childe, S. J., Papadopoulos, T., Dubey, R., Wamba, S. (2016). Vision, Applications and Future Challenges of Internet of Things: a Bibliometric Study of the Recent Literature. Industrial Management & Data Systems, 116(7), 1331-1355. https://doi.org/10.1108/IMDS-11-2015-0478
Partridge, M.D., & Rickman, D.S. (2002). Did the New Economy Vanquish the Regional Business Cycle? Contemporary Economic Policy, 20(4), 456-469. https://doi.org/10.1093/cep/20.4.456
Silva W., Kimura H., & Sobreiro V. (2017). An Analysis of the Literature on Systemic Financial Risk: A Survey. Journal of Financial Stability, 28, 91-114. https://doi.org/10.1016/j.jfs.2016.12.004
Tatelbaum, C.M. (2014). The Domino Effect of Bankruptcy. Florida Trend, 57(4), 27-27.
Watts, R.J., & Porter, A.L. (1997). Innovation Forecasting. Technological Forecasting and Social Change, 56(1), 14-47. https://doi.org/10.1016/s0040-1625(97)00050-4.
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Copyright (c) 2018 Natalia Scacun, Irina Voronova (Author)
This work is licensed under a Creative Commons Attribution 4.0 International License.