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ROI Metrics Showing Simplicity of ROI Formulas and Their Order of Application

ROI Metrics Showing Simplicity of ROI Formulas and Their Order of Application

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This paper investigated the causality relationship between branding and innovation from the viewpoint of financial performance of firms in the hospitality industry in Ghana. A self-administered questionnaire was used to solicit information from 600 participants who were senior employees in hotels, guest houses and pubs and leisure centres in the 10...

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Context 1
... (2004) With reference to Table 1, costs consist of the amount of money an organization has to pay in order to practice innovation and branding (Rico, 2004;Jacoby, 2005). On the other hand, benefits generally consist of the amount of money saved by practicing innovation and branding (Rico, 2004). ...
Context 2
... on ROI relative to branding. However, when branding stands alone without innovation (please see Table 14 in Appendix B), it contributes a variance of 40.6% on ROI. Since there is a significant causality ...
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... robustness sake, Table 12 is used to test for between-subjects effect that confirms this clue. a. R Squared = .592 ...
Context 4
... R Squared = .585) Table 12 comes with a test for between-subjects effect for innovation and branding, where ROI serves as the dependent variable. At 5% significance level, branding and innovation makes an interaction effect on ROI (p = .000). ...
Context 5
... corroborates the significance of the prediction of ROI by innovation and branding in Tables 7 and 8. Table 13 comes with partial correlation test that identifies the strength of the relationship between branding and ROI and innovation and ROI. Since branding and innovation empower each other in influencing ROI, they must be controlled for to identify their independent effects on ROI. ...
Context 6
... branding and innovation empower each other in influencing ROI, they must be controlled for to identify their independent effects on ROI. In Table 13, the relationship between branding and ROI reduces from .637 to .316 in terms of coefficient when innovation is controlled for (i.e. the effect of innovation is taken out), but the new correlation coefficient is significant at 5% significance level (p = .000). On the other hand, the relationship between innovation and ROI reduces from .681 to .082 in terms of coefficient when branding is controlled for (i.e. the effect of branding is taken out). ...

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The aim of the research is to test the causal relationship between stock prices and the demand for money in Saudi Arabia during (1985-2019). The ARDL method was used to test the existence of a relationship between variables in the long run, in addition to testing the existence of causality between variables using Granger causality. The results showed a positive relationship between stock prices and the demand for money in Saudi Arabia. Granger's causality showed that there is no causality between stock prices and the demand for money in both directions. This result differs from previous studies due to the difference in data and measures used. The results emphasized the importance of not ignoring this variable when estimating the demand for money function because it will lead to biased results. The researcher recommends conducting a study for the same variables used in this research using other scales. KEYWORDS: Stock, Demand for Money, ARDL & Granger Causality