Faculty of Science and Technology

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Now showing 1 - 5 of 5
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    Government information seeking behaviour of citizens in selected districts of Tanzania
    (Journal of Library & Information Science, 2016) Komba Mercy Mlay; Lwoga Edda Tandi
    The study assessed the information needs and information-seeking patterns of citizens in Tanzania, focusing on three districts: Morogoro town, Njombe and Kinondoni districts. A questionnaire survey was self-administered to 450 citizens in selected districts, with a rate of return of 99.6 per cent. Findings revealed that citizens mainly required information on national examination results, followed by information on birth, death and marriage certificates, land, and health. Citizens relied on electronic sources and interpersonal communication with neighbours and friends more than explicit sources of information. Certain demographic factors related to education level and respondent’s age determined the use of various types of information sources. Common barriers of citizens’ information seeking behaviour were related to poor ICT infrastructure, difficulty in retrieving information, distant location and high costs of information sources. This is a comprehensive study that provides findings which might help the government in Tanzania and other countries with similar conditions to provide effective government information and services to their citizens.
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    Factors that influence eBusiness adoption in selected districs in Tanzania
    (International Conference on eBusiness, eCommerce, eManagement, eLearning and eGovernance (2015): 1-19. Print., 2015) Komba, Mercy Mlay; Ngulube, P
    Purpose-Tanzania government has been making efforts to provide its information and services through internet. However, e-government adoption has been quite slow. Few publications explore e-government adoption in the Tanzanian context; therefore, this paper aims to assess factors that influence citizen adoption of e-government in Tanzania.Design/methodology/approach- A survey was administered to elicit factors for e-government adoption in Tanzania. Findings- The results of multiple linear regressions indicate that social influence and system quality significantly influence e-government adoption in Tanzania. Research limitation/implications- In light of these findings, researchers should conduct a similar study using other different e-government adoption models to identify more factors that influence e-government adoption in Tanzania. Practical implications- Policymakers and e-government project teams should consider these factors to facilitate e-government adoption within the
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    Antecedents of continued usage intentions of web-based learning management system in Tanzania
    (Education + Training, 2015) Komba Mercy; Tandi Luoga
    Purpose – The purpose of this paper is to examine factors that predict students’ continued usage intention of web-based learning management systems (LMS) in Tanzania, with a specific focus on the School of Business of Mzumbe University. Specifically, the study investigated major predictors of actual usage and continued usage intentions of e-learning system, and challenges of using the e-learning system. Design/methodology/approach – Data were collected through a questionnaire survey of 300 third year undergraduate students, with a rate of return of 77 per cent. A total of 20 faculty members were also interviewed. The unified theory of acceptance and use of technology (UTAUT) was utilized in the study. Findings – The results show that actual usage was determined by self-efficacy, while continued usage intentions of web-based learning system was predicted by performance expectancy, effort expectancy, social influence, self-efficacy, and actual usage. Challenges for using web-based LMS were related to information and communications technology (ICT) infrastructure barrier, LMS user interface was not user friendly, weak ICT policies, management and technical support, limited skills, lack of awareness, resistance to change, and lack of time to prepare e-content and use the e-learning system. Practical implications – The study findings are useful to e-learning managers and university management to identify important factors and develop appropriate policies and strategies to encourage long-term usage of e-learning systems for future studies and lifelong learning. Originality/value – By using UTAUT in the context of continued usage intentions and the integration of an additional construct (“self-efficacy”), the extended UTAUT model fits very well in the web-based learning systems in Tanzania, in particular where such studies are scant. The findings can be used in other institutions with similar conditions in investigating the continued usage intentions of e-learning systems.
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    Creating new actors and partnerships: Case of Tanzania
    (Aalborg University, 2017) Turcan, Romeo V.; Kwayu, Aikande; Tossy, Titus; Fraser, Norman; Nandonde, Felix
    The purpose of this working paper is to highlight issues and challenges of starting up new sectors in emerging economies and of identifying and channeling appropriate support from development organizations. Although being addressed within the context of Tanzania, these issues and challenges are generic and ubiquitous throughout emerging economies and troublesome for development organizations. Hence another aim is to share these with a wider audience and stimulate a discussion among researchers, policy makers and support providers. The paper is an excerpt from a project application developed by a University from Denmark in cooperation with academic and business partners from Tanzania and submitted for funding to a development organization.
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    Probabilistic weather forecasting using Bayesian Model averaging: the case of Sagcot Regions
    (Mzumbe University, 2018) Joel, Emmanuel
    Over the past decade Tanzania has experienced spontaneous population increase (1.556 mil annual). But the number is estimated to further increase by 2050 to 2.982 mil annual, thus Tanzania is estimated to have population of 137 million people in 2050 (UN, 2015). The fast growing population is mainly depending on rainfed agriculture, which contribute 29 percent of the country GDP and providing employment to 65.5 percent of Tanzanians (Deloitte, 2016). The diversity in climatic and weather activities has posed a challenge in rainfed agriculture especially on when to plant seeds. Therefore, in order to promote agricultural activities, stable and reliable weather information are crucial in order for production to match with population increase. This study explores the challenge facing the Numerical Weather Prediction (NWP) namely WRF-ARW, by creating the system of equation (ensembles) from WRF-ARW resulting from the use of different initial conditions. Ensemble allow for probabilistic forecast to take the form of predictive probability function (PDF). But, raw ensemble forecast system are finite hence they only capture some of the uncertainty of the NWP. Thus, this study used Bayesian Model Averaging (BMA) methods of post processing ensemble forecast to maximize the sharpness of the parameter and calibration. The findings show BMA method successively removes most of under disersion showed by raw ensembles. Thus, calibrated and sharp results of BMA approach resolves a number of the weaknesses of the ensemble forecasts including their under dispersion and the discrepancy between forecasts and observations. Therefore, BMA can be used to attain higher consistency in the probabilistic forecasts of an operational model.