Journal of ICT Systems最新文献

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Analyzing the Institutionalization of Free and Open Source Software Adoption in Tanzanian Higher Education Institutions 分析坦桑尼亚高等教育机构采用自由与开源软件的制度化情况

Journal of ICT Systems Pub Date : 2024-03-06 DOI: 10.56279/jicts.v2i1.56

Phesto Peter Namayala, Tabu Kondo, Leonard Mselle

{"title":"Analyzing the Institutionalization of Free and Open Source Software Adoption in Tanzanian Higher Education Institutions","authors":"Phesto Peter Namayala, Tabu Kondo, Leonard Mselle","doi":"10.56279/jicts.v2i1.56","DOIUrl":"https://doi.org/10.56279/jicts.v2i1.56","url":null,"abstract":"Free and open-source software (FOSS) are viable alternatives to pricey proprietary software due to their low total cost of ownership (TCO). They are predicted to have a bright future because of their advanced technologies in service delivery. Despite the availability of FOSS adoption studies, public discourse as well as information and communication technology (ICT) policies, FOSS applications are inadequately adopted in Tanzanian Higher Education Institutions (HEIs) due to lack of institutionalization. This finding poses a need for examining the institutionalization status. Institutionalization occurs when FOSS adoption and use becomes a standard practice. This study analyses the institutionalization of FOSS adoption by examining the national and selected universities’ ICT policies and observing the evolution of public discourse towards FOSS by examining multiple articles. The study adopted a systematic literature review and was guided by an analytical framework that triangulated new institutional theory, the underlying concept of organizing vision, and rhetorical diffusion theory. The findings show that, although there are sporadic use of FOSS in some Tanzanian HEIs, FOSS adoption is generally not institutionalized. As a result, the study recommends adjustments in preparation of ICT policies, making adoption of FOSS part of organizational strategic plans for them to enjoy decision-makers’ support.","PeriodicalId":478116,"journal":{"name":"Journal of ICT Systems","volume":"58 10","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-03-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140077703","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Impact of Performance-Based Financing Implementation on Healthcare Data Quality of Health Management Information System in Sierra Leone 绩效融资实施对塞拉利昂卫生管理信息系统医疗数据质量的影响

Journal of ICT Systems Pub Date : 2023-10-15 DOI: 10.56279/jicts.v1i2.38

Godfrey Justo, Henry Steven Moseray

{"title":"Impact of Performance-Based Financing Implementation on Healthcare Data Quality of Health Management Information System in Sierra Leone","authors":"Godfrey Justo, Henry Steven Moseray","doi":"10.56279/jicts.v1i2.38","DOIUrl":"https://doi.org/10.56279/jicts.v1i2.38","url":null,"abstract":"Data quality is an important aspect of data for effective healthcare planning and decision making. The Government of Sierra Leone launched the performance-based financing (PBF) scheme in June 2011, whereby target indicators included improving the quality of data for an informed decision making. We investigated the impact of PBF scheme on healthcare data quality using mixed-method sequential explanatory research design considering three data reporting periods: the pre PBF scheme in 2010, during PBF scheme in 2012, and the post PBF scheme in 2018. Results on timely reporting rate show an average percentage improvement in 2012 by 1.9% and 6.7% compared to 2010 and 2018, respectively. Results on complete reporting rate show an average percentage improvement in 2012 by 2.8% and 6.2% compared to 2010 and 2018, respectively. Results on accurate reporting rate show an average percentage decrease in 2012 by of 5.6% and 8.4% compared to 2010 and 2018, respectively. The results were validated and shown to be statistically significant, implying that the PBF scheme had positive impact on timely and complete data quality dimensions, but on the contrary, negative impact on the accuracy data quality dimension. Quantitative results strongly correlate to the mixed views on PBF obtained from qualitative results.","PeriodicalId":478116,"journal":{"name":"Journal of ICT Systems","volume":"121 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136185552","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Investigation of a Suitable Hybrid Time Series Model for Predicting Clove Price 丁香价格预测的混合时间序列模型研究

Journal of ICT Systems Pub Date : 2023-09-15 DOI: 10.56279/jicts.v1i2.36

Abdul-malik Ali, Joseph Mushi

{"title":"Investigation of a Suitable Hybrid Time Series Model for Predicting Clove Price","authors":"Abdul-malik Ali, Joseph Mushi","doi":"10.56279/jicts.v1i2.36","DOIUrl":"https://doi.org/10.56279/jicts.v1i2.36","url":null,"abstract":"The prediction of clove prices in domestic markets is affected by non-linear factors, including the monopoly market operational environment. Most of the hybrid time series models used in the prediction of crop prices do not consider the monopoly market operational environment as a nonlinear factor. This study investigated a suitable hybrid time series model for predicting clove price under the monopoly market in Zanzibar, Tanzania. The study conducted desk reviews on existing hybrid time series models and realize that ARIMA-ANN, ARIMA-SVM, ARIMAX-ANN, and SARIMA-NARNN are the most common and efficient models that have been employed to predict crop prices. Based on identified models, the study performed several experiments to investigate the accuracy of these models on predicting clove prices with the monopoly market operational environment as a nonlinear factor. The mean absolute percentage error (MAPE) was used as a performance metric. The monthly average prices of cloves from January 2007 to December 2019 were used to utilise these experiments. Results show that the ARIMA-SVM (MAPE = 0.45%) outperformed the ARIMA-ANN model (MAPE = 0.48%) in predicting clove prices under a monopoly operational market. The study recommended future research to investigate hybrid models for predicting production and planted areas of cloves.","PeriodicalId":478116,"journal":{"name":"Journal of ICT Systems","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135394206","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0