Statistical approaches in accounting for optimal choice and business location decisions

Background: Choosing an optimal business location is a critical decision
that can significantly impact an organization's success. Many
businesses fail because their initiators were not properly guided with
informed counsel prior to the commencement. Methods: This study employed
stratified random sampling to collect data from a sample of 1200 business
units across the southern and middle belt regions of Nigeria. Using
statistical tools such as factor analysis, empirical literature review,
and ordinal logistic regression, the study explores accounting
perspectives from type and locational factors necessary in making
impactful business decisions. These include analyzing the turnover
potential of various business types and locations. Results: The study
found that business success and sustainability are sensitive to factors
such as culture, government regulation, religion, and population density.
The findings also indicate that the choice of business type—such as
consumer goods, industrial goods, foodstuff, supermarkets—and their
locations in rural or urban areas all have significant implications for
business survival. Conclusion: By integrating accounting and statistical
perspectives, businesses can make more informed and strategic location
decisions. These decisions can leverage the analytical advantages of
understanding business types and locations, ultimately improving
operational efficiency and profitability.