Browsing by Author "Mongi, H."
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Item Critical success factors for m-Government adoption in Tanzania: A conceptual framework(John Wiley & Sons, 2018) Ishengoma, F.; Mselle, L.; Mongi, H.The advancement of wireless and mobile technologies has given rise to the mobile government (m‐Government). A new channel of public service delivery using a mobile phone. In Tanzania, several m‐Government initiatives have been undertaken. Among these, some can be said to have succeeded while others are still struggling. The reasons for these variations are not known. This study aimed to capture the critical success factors (CSFs) for the adoption of m‐Government and propose a framework under the Tanzanian context. The study builds upon an extensive literature review methodology based on six electronic databases from 2003 to 2017. The results show that security, usability, access, cost, infrastructure, and personal initiatives and characteristics have the strongest effect on the adoption of m‐Government services. Based on the findings of the critical review, a conceptual framework is proposed by extending the mobile services acceptance model (MSAM). A further finding is that most of the m‐Government adoption research have not considered the environmental setting. Hence, this study calls for more research on m‐Government adoption with consideration to the environmental setting (mandatory or optional environment). The study culminates by providing both practical, theoretical, and policy implications of the findings.Item Vulnerability and adaptation of rain fed agriculture to climate change and variability in semi-arid Tanzania(Academic Journals, 2010) Mongi, H.; Majule, A. E.; Lyimo, J.G.A vulnerability assessment of rain fed agriculture to climate change and variability in semi-arid parts of Tabora Region in Tanzania was conducted in 2009. Four village clusters were selected out of which, three villages represent Millennium Villages Program (MVP) namely Mbola, Mpenge and Isila from Uyui District. One village namely Tumbi from Tabora Urban bordering the MVP was also selected. Both primary and secondary data were collected using different methods including structured questionnaire interviews, focus group discussion, documentary review and field observations. Structured questionnaire interviews were administered to 7% of all farmers selected at random from the four villages and 30 research and extension officers obtained through accidental purposeful sampling. Simple regression and t-test analyses of numeric data for rainfall and temperature collected over the last 35 growing seasons were performed using Microsoft Excel and Statistical Analysis System respectively. Non-numeric data were coded, summarized and analyzed using Statistical Package for Social Sciences spreadsheet. Results indicate that the overall rainfall amount was found to decline while distribution was varying both in time and space. Inter-seasonal dry spells between January and February appeared to increase both in duration and frequency. Temperature has shown an increasing trend. Minimum temperature increased faster (R2 = 0.68, p<0.001) while maximum temperature increased gradually (R2 = 0.24, p<0.01). Farmers, research and extension officers also perceived these changes by the help of a series of indicators. Nevertheless, perception on the climate change indicators varied depending on the type of livelihood activity most affected. Major implications on rain fed agriculture are possible shrinking of the growing season, increasing moisture and heat stress to common food and cash crops, increased insects and pests and eventually low income and food insecurity. This study concludes that there is strong evidence demonstrating the vulnerability of rain fed agriculture to negative impacts of climate change and variability in the study area. It is suggested that there is a need for multi-level interventions on adaptation to climate change and variability taking into account a wide range of stakeholder involvement.