Chapter 4: Results and Discussion
4.4 Hypothesis Testing
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74 4.4.3 – Hypothesis 3
The null hypothesis states that having a positive impact on the environment will not have an effect on adopting greywater systems in existing hotels. The data for all respondents was gathered and analyzed through SPSS by conducting a regression analysis. Assuming a significance level p of 0.05 and referring to Table 13, the obtained p level is 0.497 which is greater than the assumed significance level of the study. Based on this result the study fails to reject the null hypothesis deducing that environmental impact does not have an impact on greywater adoption in existing hotels.
4.4.4 – Hypothesis 4
The null hypothesis states that additional costs in installation, maintenance and operations will not have an effect on adopting greywater systems in existing hotels. The data for all respondents was gathered and analyzed through SPSS by conducting a regression analysis. Assuming a significance level p of 0.05 and referring to Table 13, the obtained p level is 0.965 which is greater than the assumed significance level of the study. Based on this result the study fails to reject the null hypothesis and deduces that additional cost does not have an impact.
4.4.5 – Hypothesis 5
The null hypothesis states that cost savings in water bills will not have a positive effect on adopting greywater systems in existing hotels. The data for all respondents was gathered and analyzed through SPSS by conducting a regression analysis. Assuming a significance level p of 0.05 and referring to Table 13, the obtained p level is 0.811 which is greater than the assumed significance level of the study. Based on this result the study fails to reject the null hypothesis deducing that cost savings do not have an impact on greywater adoption.
75 4.4.6 – Hypothesis 6
The null hypothesis states that government incentives will not have a positive effect on adopting greywater systems in existing hotels. The data for all respondents was gathered and analyzed through SPSS by conducting a regression analysis. Assuming a significance level p of 0.05 and referring to Table 13, the obtained p level is 0.013 which is less than the assumed significance level of the study. Based on this result the study rejects the null hypothesis showing that there is significant evidence that government support and incentives have a positive impact on greywater adoption in existing hotels.
4.4.7 – Hypothesis 7
The null hypothesis states that higher perception of risk in will have no impact on adopting greywater systems in existing hotels. The data for all respondents was gathered and analyzed through SPSS by conducting a regression analysis. Assuming a significance level p of 0.05 and referring to Table 13, the obtained p level is 0.03 which is less than the assumed significance level of the study. Based on this result the study rejects the null hypothesis showing that there is significant evidence that a higher perception of risk will have an impact on willingness to adopt greywater systems in existing hotels.
4.4.8 – Hypothesis 8
The null hypothesis states that management perception will not have an effect on adopting greywater systems in existing hotels. The data for all respondents was gathered and analyzed through SPSS by conducting a regression analysis. Assuming a significance level p of 0.05 and referring to Table 13, the obtained p level is 0.143 which is higher than the assumed significance level of the study. Based on this result the study fails to reject the null hypothesis it can be deduced that management perception does not directly impact adoption of greywater in new hotels.
76 4.4.9 – Hypothesis 9
The null hypothesis states that customer perception will not have an effect on adopting greywater systems in existing hotels. The data for all respondents was gathered and analyzed through SPSS by conducting a regression analysis. Assuming a significance level p of 0.05 and referring to Table 13, the obtained p level is 0.006 which is less than the assumed significance level of the study.
Based on this result the study rejects the null hypothesis deducing that there is significant evidence that customer perception does have an impact on greywater adoption in new hotels.
4.4.10 – Hypothesis 10
The null hypothesis states that having a positive impact on the environment will not have an effect on adopting greywater systems in existing hotels. The data for all respondents was gathered and analyzed through SPSS by conducting a regression analysis. Assuming a significance level p of 0.05 and referring to Table 12, the obtained p level is 0.561 which is greater than the assumed significance level of the study. Based on this result the study fails to reject the null hypothesis deducing that environmental impact does not have an impact on greywater adoption in new hotels.
4.4.11 – Hypothesis 11
The null hypothesis states that additional costs in installation, maintenance and operations will not have an effect on adopting greywater systems in existing hotels. The data for all respondents was gathered and analyzed through SPSS by conducting a regression analysis. Assuming a significance level p of 0.05 and referring to Table 13, the obtained p level is 0.306 which is greater than the assumed significance level of the study. Based on this result the study fails to reject the null hypothesis and deduces that additional cost does not have an impact on greywater adoption in new hotels.
77 4.4.12 – Hypothesis 12
The null hypothesis states that cost savings in water bills will not have a positive effect on adopting greywater systems in existing hotels. The data for all respondents was gathered and analyzed through SPSS by conducting a regression analysis. Assuming a significance level p of 0.05 and referring to Table 13, the obtained p level is 0.556 which is greater than the assumed significance level of the study. Based on this result the study fails to reject the null hypothesis deducing that cost savings do not have an impact on greywater adoption in new hotels.
4.4.13 – Hypothesis 13
The null hypothesis states that government incentives will not have a positive effect on adopting greywater systems in existing hotels. The data for all respondents was gathered and analyzed through SPSS by conducting a regression analysis. Assuming a significance level p of 0.05 and referring to Table 13, the obtained p level is 0.017 which is less than the assumed significance level of the study. Based on this result the study rejects the null hypothesis showing that there is significant evidence that government support and incentives have a positive impact on greywater adoption in new hotels.
4.4.14– Hypothesis 14
The null hypothesis states that higher perception of risk in will have no impact on adopting greywater systems in existing hotels. The data for all respondents was gathered and analyzed through SPSS by conducting a regression analysis. Assuming a significance level p of 0.05 and referring to Table 13, the obtained p level is 0.34 which is higher than the assumed significance level of the study. Based on this result the study fails to reject the null hypothesis showing that there is no evidence that a higher perception of risk will have an impact on willingness to adopt greywater systems in new hotels.
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