The International Journal of Entrepreneurship and Innovation editors’ series: Advancing quantitative research in entrepreneurship

We are pleased to present the latest issue of International Journal of Entrepreneurship and Innovation. As always, our papers represent a range of topics and methodologies within the scope of the journal. In this editorial, we take the opportunity to offer some advice and guidance notes on presenting quantitative research within the field of entrepreneurship, which can hopefully enhance the high-quality quantitative research submissions to the journal. In the digital era, new technologies have changed how research is done, which allows entrepreneurship researchers to access information, data and data analytical tools in more flexible ways than ever. Consequently, research in entrepreneurship has seen significant advancements over the past few decades due to the rapid development of the field’s theoretical underpinnings through the use of more advanced quantitative research methods (Anderson et al., 2019; Maula and Stam, 2020). Quantitative research is a research framework that focuses on quantifying the data collection and data analysis, which is often built on a deductive approach aiming at testing a hypothesis (hypotheses) based on existing theories (Antwi and Hamza, 2015). This approach is widely used in the fields of economics, marketing, education and healthcare (Parker, 2018). It is also often performed by social scientists in various disciplines, including sociology, psychology, public health and politics through the exploration of numeric patterns (Maula and Stam, 2020). In the field of entrepreneurship, quantitative research can help entrepreneurship scholars to understand the trends and patterns of behaviour related to entrepreneurial phenomena from a large sample size quickly and efficiently. The results of quantitative research are generally more objective and accurate than qualitative research since they are derived from numeric data and close-ended questions, which provide precise decisions from target population (Antwi and Hamza, 2015). The data analysis can also be processed with speed via statistical software tools, which can quickly give entrepreneurs the utmost confidence when making plans for the future. Due to the quick advancements in empirical techniques and software packages, quantitative entrepreneurship research,