Statistical Methods for Evaluating Institutional Innovation and Digital Entrepreneurship

Abstract

The study aimed to examine the impact of digital transformation and digital entrepreneurship on enhancing institutional innovation within a major service organization, represented by Asia Cell Telecommunications Company. The research relied on quantitative operational time-series data extracted from official records for the period (2019–2023). The study sample consisted of data obtained from (12) administrative and technical departments, comprising (60) observations over a period of (5) years. Descriptive and inferential statistical methods were employed to analyze the data, including the arithmetic mean and standard deviation, Pearson’s correlation coefficient to measure the strength of relationships, and the Beta test to determine the coefficient of determination (R²). In addition, hypothesis testing was conducted using Analysis of Variance (ANOVA) to estimate the F-value, the Chi-square test (χ²), and the T-test. The empirical results revealed a statistically significant positive effect of digital transformation and digital entrepreneurship on institutional innovation, accompanied by a noticeable improvement in performance indicators. Accordingly, the study recommends adopting digital strategies that support institutional sustainability.