Browsing by Author "Rugasira, Jack"

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    Effect of Computer Technology Adoption on Sales Volume in Selected Supermarkets in Kampala Central Division, Uganda
    (International Journal of Current Science Research and Review, 2023-01-25) Rugasira, Jack; Moses, Agaba; Kyabarongo, Benon
    The study looked at the relationship between sales volume and the deployment of computer technology at a few specific supermarkets in Kampala's central division. The specific goal was to look at how the use of computer technology affected the amount of sales in supermarkets. The research used a cross-sectional approach. Approaches that combined quantitative and qualitative methods were used. Data was collected from a sample of 80 respondents in 20 supermarkets in the central division of Kampala using questionnaires and interviews. Data were analyzed using descriptive, correlational, and regression techniques. The results suggested that adoption of computer technology boosts grocery sales. Conclusion: Adoption of computer technology improves operational efficiency, according to the respondents' responses. However, there were a few areas that needed improvement so that efficiency would actually increase. It was advised that the owners of supermarkets purchase and employ improved accounting software, as well as effective monitoring systems and systems that can identify impending expirations and obsolescence and report them early so that action can be taken to prevent losses from expirations.
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    Green Manufacturing and Environmental Sustainability in Selected Manufacturing Entities in Kampala District, Uganda
    (International Journal of Academic Management Science Research, 2022) Rugasira, Jack; Moses, Agaba; Byarugaba Mbiito, Jotham; Makumbi, Rita; Kyotuheire, Jill; Asiimwe, Jane
    The purpose of this study was to empirically establish the relationship between green manufacturing and environmental sustainability in the Kampala district. The study employed a cross-sectional design. The study also used quantitative approaches in collecting and analysing the data both descriptively and inferentially. The study population was 675 manufacturing entities. Using the purposive sampling technique, the study took a sample of 248. Data were obtained from 186 usable questionnaires. The researcher applied Statistical Package for Social Scientists (SPSS) to test all four hypotheses. The results are presented in terms of descriptive statistics and inferential statistics in terms of correlation analysis, simple regression and multiple regression analysis models. Results indicate that Pearson’s correlation results indicate a relatively moderate, positive and significant association between Green manufacturing and Environmental Sustainability in Kampala industries The findings show that there was a low but significant positive correlation (r= 0.323, sig 000, p< .01) between green manufacturing and environmental sustainability. This implies that any improvements made in Green manufacturing can be associated positively with changes in Environmental Sustainability in Kampala. The study results concluded that green manufacturing contributed very little to environmental sustainability. The study, therefore, concludes that findings are not supportive of The National Environment Act, 2019; specifically concerning control of pollution and environmental emergency preparedness and management of waste. It also has a limited effect on environmental sustainability.
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    Green Sourcing and Environmental Sustainability in Selected Manufacturing Entities in Kampala District, Uganda
    (International Journal of Academic Management Science Research (, 2022) Rugasira, Jack; Moses, Agaba; mbito, Jotham; Makumbi, Rita; Kyotuheire, Jill; Asiime, Jane
    The purpose of this study was to empirically establish the relationship between green sourcing and environmental sustainability in the Kampala district. The study employed a cross-sectional design. The study also used quantitative approaches in collecting and analyzing the data both descriptively and inferentially. The study population was 675 manufacturing entities. Using the purposive sampling technique, the study took a sample of 248. Data were obtained from 186 usable questionnaires. The researcher applied Statistical Package for Social Scientists (SPSS) to test all four hypotheses. The results are presented in terms of descriptive statistics and inferential statistics in terms of correlation analysis, simple regression and multiple regression analysis models. Results indicate that Pearson’s correlation results indicate a relatively moderate, positive and significant association between Green Sourcing and Environmental Sustainability in Kampala industries (r= 0.558, sig .000, p< .01) ; Multiple regression results indicated that Green sourcing (β = 0.387) was found to significantly predict Environmental Sustainability in Kampala industries. Green sourcing has a significant effect on Environmental Sustainability in Kampala industries. The study recommended that National Environment Management Authority (NEMA) takes deliberate steps to try to step adherence to green sourcing by Manufacturing by empowering the enforcement department.
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    Green Transportation and Environmental Sustainability in Selected Manufacturing Entities in Kampala District, Uganda
    (International Journal of Academic Accounting, Finance & Management Research, 2022) Rugasira, Jack; Moses, Agaba; Byarugaba Mbiito, Jotham; Makumbi, Rita; Kyotuheire, Jill; Asiime, Jane
    The purpose of this study was to empirically establish the relationship between green Transportation and environmental sustainability in the Kampala district. The hypothesis of the study stated that there is a significant relationship between green transportation and environmental sustainability in selected manufacturing entities in the Kampala district. The study employed a cross-sectional design. The study also used quantitative approaches in collecting and analysing the data both descriptively and inferentially. The study population was 675 manufacturing entities. Using the purposive sampling technique, the study took a sample of 248. Data were obtained from 186 usable questionnaires. The researcher applied Statistical Package for Social Scientists (SPSS) to test all four hypotheses. The results are presented in terms of descriptive statistics and inferential statistics in terms of correlation analysis, simple regression and multiple regression analysis models. The findings show that there was a very low but positive correlation (r= 0.297, sig .000, p< .01) between Green Transportation and Environmental Sustainability. This implies that any improvements made in green transportation can be associated positively with environmental sustainability in Kampala. Green Transportation reflects a small F-statistic of 17.841 indicating the statistical significance of each of the regression coefficients. Green Transportation reflects a small F-statistic of 17.841 indicating the statistical significance of each of the regression coefficients. The findings further confirm that Green Transportation has little effect on Environmental Sustainability. It is therefore recommended that the education department of the National Environment Management Authority approaches the non-compliant firms and educates them on the best ways of cost effectively adopting green transportation to offset their fears about costs involved in adopting Green Transportation; many of which are groundless.
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    Reverse logistics and environmental sustainability in selected manufacturing entities in Kampala district, Uganda
    (Kabale University Interdisciplinary Research Journal (KURJ), 2022) Rugasira, Jack; Moses, Agaba; Jotham Mbiito, Byarugaba; Rita, Makumbi; Kyatuheire, Jill; Asiimwe, Jane
    The purpose of this study was to empirically establish the relationship between reverse logistics and environmental sustainability in Uganda, focusing on selected manufacturing entities in the Kampala district. The study employed a cross-sectional design. The study also used quantitative approaches in collecting and analysing the data both descriptively and inferentially. The study population was 675 manufacturing entities. Using the purposive sampling technique, the study took a sample of 248. Data were obtained from 186 usable questionnaires. The researcher applied Statistical Package for Social Scientists (SPSS) to test all four hypotheses. The results are presented in terms of descriptive statistics and inferential statistics in terms of correlation analysis, simple regression and multiple regression analysis models. Results indicate that Pearson’s correlation results indicate a relatively moderate, positive and significant association between Green manufacturing and Environmental Sustainability in Kampala industries. The findings show that there was a low but positive correlation (r= 0.480, sig .000, p< .01) between Reverse Logistics and Environmental Sustainability. This implies that any improvements made in reverse logistics can be associated positively with environmental sustainability in Kampala. The study, therefore, concludes that findings are partially supportive of The National Environment Act, 2019; specifically concerning the prohibition of littering, Trans boundary movement of waste and classification and management of hazardous waste. It is therefore recommended that National Environment Management Authority and Uganda revenue Authority work out a rewards system for firms that actively practice Reverse Logistics as this undercuts pollution as reduces waste dumped in water bodies and the environment