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@article{171497,
        author = {Dr TATARAO DUMMU and Dr. B. Muralidhara Rao},
        title = {Digital Revolution in India with Special Reference to Andhra Pradesh},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {11},
        number = {8},
        pages = {404-423},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=171497},
        abstract = {This study investigates the factors that influence the adoption of digital technology in rural areas of India, with a focus on the Digital India Program (DIP). By analyzing the age distribution, education levels, technology adoption rates, and utilization patterns among rural populations, this research provides insights into the effectiveness of the DIP in targeting specific demographics and promoting digital inclusion. Quantitative data were collected from 400 respondents in Srikakulam District in the Andhra Pradesh state of India. The data collected were analyzed using SPSS. The findings reveal a predominantly young population in rural India, indicating a workforce with significant economic potential and a higher likelihood of embracing digital technologies. Moreover, the study highlights the high levels of education among respondents, indicating a population well-equipped to understand and benefit from digital initiatives. Unexpectedly, the research shows a higher rate of digital technology adoption among female respondents, challenging the perception of gender disparities in technology access. This finding suggests that the DIP has played a vital role in bridging the gender gap and empowering women in rural areas. Additionally, the study uncovers a trend towards mobile-based services over computer-based services, signaling a shift in technology utilization patterns. This emphasizes the need to prioritize mobile technology and improve connectivity in rural areas to ensure wider access to digital platforms.
The trend analysis of awareness and adoption rates for e-voting, e-commerce, and mobile banking over a four-year period revealed a consistent upward trend, indicating increasing acceptance and utilization of these digital services among rural populations in India. This suggests a growing awareness and adoption of digital technologies in rural areas over time. Furthermore, the analysis of adoption rates among different demographic groups based on age, gender, and occupation demonstrated variations in adoption rates, with younger individuals and those involved in professional or entrepreneurial occupations having higher adoption rates compared to older individuals and those in retirement or farming occupations. The analysis of variance and regression analysis further supported the influence of demographic factors on the adoption rate of digital technology. Age group, gender, and occupation were found to be significant predictors of the adoption rate, suggesting that these factors play a role in influencing the likelihood of adopting digital technology among the population. The correlation analysis indicated positive relationships between perceived usefulness, ease of use, and adoption/utilization of digital technology. Individuals who perceive digital technology as useful and easy to use are more likely to adopt and utilize it. The regression analysis confirmed the importance of perceived usefulness and ease of use as predictors of the adoption/utilization of digital technology. Higher levels of perceived usefulness and ease of use were associated with increased adoption/utilization rates. Overall, these findings contribute to the existing body of knowledge and emphasize the significance of digital literacy, demographic factors, and perceived usefulness and ease of use in bridging the digital divide and fostering the adoption and utilization of digital technology in rural areas. The study highlights the importance of enhancing literacy rates, addressing demographic variations, and emphasizing user-centric design and usability in promoting the adoption and utilization of digital technology in rural communities.},
        keywords = {},
        month = {January},
        }