Abstract
Although there is an increasing trend in bibliometric studies in almost all domains including accounting and management, the literature on determinants of research productivity is scarce. Hence, we aim to fill this gap by focusing on the research productivity of nations in accounting and management domains. Specifically, we examine the influence of the education system with three proxies on research productivity and also test the moderating effect of internet access availability in schools in this relationship. The data for research productivity were retrieved from Scopus between 2007 and 2018, and fixed-effects panel regression analysis was executed. The results indicate that the education system's quality, math education quality, and business schools' quality are all influential in stimulating research productivity both in accounting and management domains. Furthermore, internet access availability in schools positively moderates this relationship in all three education system proxies. The findings are robust to alternative sample specification, endogeneity concerns, the inclusion of additional control variable, and the adoption of the alternative methodology. The results suggest guidelines for policymakers in enhancing research productivity in accounting and management domains.
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Notes
Throughout the study, we use research productivity and research performance interchangeably.
It can be both micro or macro factor depending on how you handle it similar to education; it can be at the country level or personal level but these studies we mention here regard it as micro-level.
Research and development expenditure.
It refers to the gap between areas, countries, and regions in the levels of internet access and technological literacy. We explain it in more detail in the theoretical part.
Association to Advance Collegiate Schools of Business.
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Uyar, A., Nimer, K. & Kuzey, C. Education quality, internet access in schools, and research performance in management and accounting domains: a cross-country investigation. Scientometrics 128, 5441–5475 (2023). https://doi.org/10.1007/s11192-023-04813-3
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DOI: https://doi.org/10.1007/s11192-023-04813-3