Academia.eduAcademia.edu

Figure 4 – uploaded by Dr Mary Ibua

See full PDFdownloadDownload figure
Table 5 shows the beta coefficient summary, in which the t-values are 3.171 and 11.188 with p-values of 0.004 and 0.000, which are less than 0.05, and hence the model was statistically signific and customer reviews, respectively. On the other hand, the p-value for customer satis ant for the Y intercept faction, as indicated by the ratings, was 0.812, which is greater than 0.05; hence the model was not statistically significant. This implies that the number of customer reviews positively affects the adoption of mobile accounting apps in Kenya, while customer rating has no significant influence. These findings are in line wit h Kaushik et al. (2020), who observed that there is a clear and significant connection between how consumers perceive and use mobile retail apps. This is contrary to the study done by Mauricette (2019), who observed that users of cloud accounting apps indicated satisfaction and a sense of effectiveness with the program. His study observes that user ratings and reviews, which are seen as indicators of mobile app efficiency and user confidence, have a significant effect on mobile accounting apps among SMEs in Kenya. The ragreceinn modal that can he actahliiched after dranning ciuctamar caticfactinn uthich Wag fAiind th he The findings of the analysis of variance for the adoption of mobile accounting apps are shown in Table 4. There was a substantial relationship between customer ratings and reviews and the uptake of mobile accounting apps, as shown by the computed F-statistic value of 65.252, which was higher than the critical value of 3.85 and the p-value of 0.000, which is less than 0.05. The use of mobile accounting apps in Kenya was found to be significantly correlated with user reviews, app ratings, and adoption.

Table 5 shows the beta coefficient summary, in which the t-values are 3.171 and 11.188 with p-values of 0.004 and 0.000, which are less than 0.05, and hence the model was statistically signific and customer reviews, respectively. On the other hand, the p-value for customer satis ant for the Y intercept faction, as indicated by the ratings, was 0.812, which is greater than 0.05; hence the model was not statistically significant. This implies that the number of customer reviews positively affects the adoption of mobile accounting apps in Kenya, while customer rating has no significant influence. These findings are in line wit h Kaushik et al. (2020), who observed that there is a clear and significant connection between how consumers perceive and use mobile retail apps. This is contrary to the study done by Mauricette (2019), who observed that users of cloud accounting apps indicated satisfaction and a sense of effectiveness with the program. His study observes that user ratings and reviews, which are seen as indicators of mobile app efficiency and user confidence, have a significant effect on mobile accounting apps among SMEs in Kenya. The ragreceinn modal that can he actahliiched after dranning ciuctamar caticfactinn uthich Wag fAiind th he The findings of the analysis of variance for the adoption of mobile accounting apps are shown in Table 4. There was a substantial relationship between customer ratings and reviews and the uptake of mobile accounting apps, as shown by the computed F-statistic value of 65.252, which was higher than the critical value of 3.85 and the p-value of 0.000, which is less than 0.05. The use of mobile accounting apps in Kenya was found to be significantly correlated with user reviews, app ratings, and adoption.

Related Figures (3)

Table 1. Popular mobile apps.
Table 1. Popular mobile apps.
Table 2. Top rated and used mobile accounting apps. According to the findings in Table 2, QuickBooks is the most widely used mobile accounting app and has received the fifth most reviews; however, it does not rank in the top ten for user satisfaction. Wallet Budget Planner, which is ranked fourth among the top ten highly rated apps and first in terms of the quantity of reviews, is the second most popular app. Despite being the second-most popular app in terms of reviews and the third-most frequently used app, the Cashbook Expenses & Balances App is ranked fifth among the top ten highly rated apps. Accounting Bookkeeping, Konnash, Zoho Books, Xero, eKhata, My Business, Account Book and Simple Cashbook are a few of the other well-known mobile accounting apps. These findings were consistent with Mauricette (2019), who observed that Xero was one of the ten most popular and highly rated accounting apps. Xero, which is sixth in terms of usage according to this survey, is not among the top ten highly ranked apps, but this does not mean that its ranking is low.
Table 2. Top rated and used mobile accounting apps. According to the findings in Table 2, QuickBooks is the most widely used mobile accounting app and has received the fifth most reviews; however, it does not rank in the top ten for user satisfaction. Wallet Budget Planner, which is ranked fourth among the top ten highly rated apps and first in terms of the quantity of reviews, is the second most popular app. Despite being the second-most popular app in terms of reviews and the third-most frequently used app, the Cashbook Expenses & Balances App is ranked fifth among the top ten highly rated apps. Accounting Bookkeeping, Konnash, Zoho Books, Xero, eKhata, My Business, Account Book and Simple Cashbook are a few of the other well-known mobile accounting apps. These findings were consistent with Mauricette (2019), who observed that Xero was one of the ten most popular and highly rated accounting apps. Xero, which is sixth in terms of usage according to this survey, is not among the top ten highly ranked apps, but this does not mean that its ranking is low.
constant, account for 83.2% of the variation in how easily SMEs may acquire financing, according to the corrected R squared of 0.832. Other factors that are not included in this model account for the remaining 16.5% difference in the adoption of mobile accounting apps. As a result, it can be concluded that the regression model adequately describes the observed data and further analysis is appropriate.
constant, account for 83.2% of the variation in how easily SMEs may acquire financing, according to the corrected R squared of 0.832. Other factors that are not included in this model account for the remaining 16.5% difference in the adoption of mobile accounting apps. As a result, it can be concluded that the regression model adequately describes the observed data and further analysis is appropriate.
Related topics:
Mobile appsBusiness Administration Accounting and Finance
580 California St., Suite 400
San Francisco, CA, 94104
© 2025 Academia. All rights reserved