2020
DOI: 10.31014/aior.1992.03.01.204
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The Influence of Demographic Attributes in the Implementation of Accrual-Based International Public Sector Accounting Standards

Abstract: The Journal of Economics and Business is an Open Access publication. It may be read, copied, and distributed free of charge according to the conditions of the Creative Commons Attribution 4.0 International license.

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Cited by 2 publications
(3 citation statements)
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“…Finally, the negative relationship between age and gender and the acceptance of accrual accounting identified by prior research (Matekele and Komba, 2020; Tanjeh, 2016) is not supported by our study. Overall, the results on the demographic variables suggest age and gender do not affect either positively or negatively BI.…”
Section: Discussion and Implications Of The Findingscontrasting
confidence: 99%
See 1 more Smart Citation
“…Finally, the negative relationship between age and gender and the acceptance of accrual accounting identified by prior research (Matekele and Komba, 2020; Tanjeh, 2016) is not supported by our study. Overall, the results on the demographic variables suggest age and gender do not affect either positively or negatively BI.…”
Section: Discussion and Implications Of The Findingscontrasting
confidence: 99%
“…In addition, he found that men are more likely to adopt IPSAS than women, but this finding was not statistically significant. Similarly, Matekele and Komba (2020) found that implementing accrual-based IPSAS presents a negative relationship with age and a positive one with the male gender. Based on these findings, we examined whether similar associations could be identified within our study.…”
Section: Sensitivity Analysismentioning
confidence: 89%
“…In order to collect data from the respondents, the researcher proposes the use of 162 respondents from TANESCO in Morogoro region. Such sample size has been determined in accordance with Tabachnick and Fidell [32] and Matekele and Komba [33] as well as Matekele and Komba [34], who indicated that for those studies which apply multiple regression analysis the expected sample size should be determined by using the formula N>=50+8*M. In this case, M stands for the number of independent variables while N stands for the expected sample size. As indicated in the conceptual framework under chapter two, this study has 14 independent variables.…”
Section: Methodology Of the Studymentioning
confidence: 86%