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Performance impacts of mobile carbon footprint calculators in South Africa
Modernization and advancement in technology have contributed towards the increased use of mobile phones in South Africa. The increased demand for services and energy has resulted in the increase in generation of electricity to meet the country's need. Consequently, South Africa now possesses the hig...
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| Format: | Thesis |
| Language: | English |
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Department of Information Systems
2017
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| _version_ | 1867613284526456832 |
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| access_status_str | Open Access |
| author | Munetsi, Martin |
| author2 | Kyobe, Michael |
| author_browse | Kyobe, Michael Munetsi, Martin |
| author_facet | Kyobe, Michael Munetsi, Martin |
| author_sort | Munetsi, Martin |
| collection | Thesis |
| description | Modernization and advancement in technology have contributed towards the increased use of mobile phones in South Africa. The increased demand for services and energy has resulted in the increase in generation of electricity to meet the country's need. Consequently, South Africa now possesses the highest greenhouse gas (GHG) emission per capita relative to other developing countries. Conservation organizations in South Africa argue that the first step towards reducing carbon footprint is through its measurement. In spite of the high penetration of mobile phones and the alarming GHG emission, there is hardly any research to investigate the fit and performance impacts of mobile carbon footprint calculators in South Africa. In fulfilment of this gap, the rationale of this study was to (1) investigate factors that are suitable to determine the fit of mobile technology for carbon footprint tasks, (2) adopt an existing model from the vast base of theories and models on technology usage and impact, (3) test the research model based on a South African sample within a mobile technology and carbon footprint context in order to determine the performance impacts on individual carbon footprint tasks. Sample data were collected, through a survey instrument, and was analysed quantitatively. Partial Least Square Structural Equation Modeling (PLS-SEM) analysis was used to evaluate the study's outer and the inner model. The study revealed that only task-technology fit was the cause of performance impacts on individual carbon footprint tasks. In addition, there was no significant difference in the estimation and offsetting of carbon footprint between the users and non-users of mobile technology. In conclusion, this study established that performance impacts on individual carbon footprint tasks are only determined by the fit of the mobile technology. The insignificant difference between users and non users of carbon calculators, in performance impacts on carbon footprint tasks, was an unexpected result but yet relevant to practitioners. Further implications to practice and theory are outlined in conclusion to this study. |
| format | Thesis |
| id | oai:open.uct.ac.za:11427/25406 |
| institution | University of Cape Town (South Africa) |
| language | eng |
| last_indexed | 2026-06-10T12:33:41.762Z |
| license_str | Not specified — see source repository |
| provenance_str_mv | Harvested via OAI-PMH from UCTD — University of Cape Town Open Access Repository |
| publishDate | 2017 |
| publishDateRange | 2017 |
| publishDateSort | 2017 |
| publisher | Department of Information Systems |
| publisherStr | Department of Information Systems |
| record_format | dspace |
| source_str | UCTD — University of Cape Town Open Access Repository |
| spelling | oai:open.uct.ac.za:11427/25406 Performance impacts of mobile carbon footprint calculators in South Africa Munetsi, Martin Kyobe, Michael Information Systems Modernization and advancement in technology have contributed towards the increased use of mobile phones in South Africa. The increased demand for services and energy has resulted in the increase in generation of electricity to meet the country's need. Consequently, South Africa now possesses the highest greenhouse gas (GHG) emission per capita relative to other developing countries. Conservation organizations in South Africa argue that the first step towards reducing carbon footprint is through its measurement. In spite of the high penetration of mobile phones and the alarming GHG emission, there is hardly any research to investigate the fit and performance impacts of mobile carbon footprint calculators in South Africa. In fulfilment of this gap, the rationale of this study was to (1) investigate factors that are suitable to determine the fit of mobile technology for carbon footprint tasks, (2) adopt an existing model from the vast base of theories and models on technology usage and impact, (3) test the research model based on a South African sample within a mobile technology and carbon footprint context in order to determine the performance impacts on individual carbon footprint tasks. Sample data were collected, through a survey instrument, and was analysed quantitatively. Partial Least Square Structural Equation Modeling (PLS-SEM) analysis was used to evaluate the study's outer and the inner model. The study revealed that only task-technology fit was the cause of performance impacts on individual carbon footprint tasks. In addition, there was no significant difference in the estimation and offsetting of carbon footprint between the users and non-users of mobile technology. In conclusion, this study established that performance impacts on individual carbon footprint tasks are only determined by the fit of the mobile technology. The insignificant difference between users and non users of carbon calculators, in performance impacts on carbon footprint tasks, was an unexpected result but yet relevant to practitioners. Further implications to practice and theory are outlined in conclusion to this study. 2017-09-26T14:56:47Z 2017-09-26T14:56:47Z 2017 Master Thesis Masters MCom http://hdl.handle.net/11427/25406 eng application/pdf Department of Information Systems Faculty of Commerce University of Cape Town |
| spellingShingle | Information Systems Munetsi, Martin Performance impacts of mobile carbon footprint calculators in South Africa |
| thesis_degree_str | Master's |
| title | Performance impacts of mobile carbon footprint calculators in South Africa |
| title_full | Performance impacts of mobile carbon footprint calculators in South Africa |
| title_fullStr | Performance impacts of mobile carbon footprint calculators in South Africa |
| title_full_unstemmed | Performance impacts of mobile carbon footprint calculators in South Africa |
| title_short | Performance impacts of mobile carbon footprint calculators in South Africa |
| title_sort | performance impacts of mobile carbon footprint calculators in south africa |
| topic | Information Systems |
| url | http://hdl.handle.net/11427/25406 |
| work_keys_str_mv | AT munetsimartin performanceimpactsofmobilecarbonfootprintcalculatorsinsouthafrica |