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THE ELECTRONIC JOURNAL OF INFORMATION SYSTEMS IN DEVELOPING COUNTRIES最新文献

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Essential health services tracker to enhance routine data use for sector‐wide decision‐making 基本保健服务跟踪器,为全部门决策加强日常数据使用
Pub Date : 2024-08-27 DOI: 10.1002/isd2.12348
Bigten Kikoba, Masoud Mahundi
Healthcare actors have designated a set of services as essential health services (EHSs), essential for achieving universal health coverage. Therefore, monitoring the provision of EHS is indispensable to gauge how countries progress toward achieving universal health coverage. However, there are no mechanisms for sector‐wide monitoring of these services. While EHSs cover the entire health sector, monitoring is left to individual subunits and health programs, which often confine themselves to specific diseases and health interventions. This makes it difficult to monitor interferences to the provision of these services. Such interferences include epidemics and pandemics such as COVID‐19, Marburg, Ebola, and seasonal incidences of cholera. This study, therefore, proposes an EHS tracker, a data visualization tool, to enhance routine data use for monitoring and tracking EHSs regularly. The paper details a collaborative process for developing the tracker, culminating in the creation of the tool itself. The paper contributes to the ongoing initiatives to strengthen data use practices using innovative solutions in the efforts to institutionalize data use practices and data‐driven decision‐making for improved healthcare service delivery.
医疗卫生机构已指定一系列服务为基本医疗卫生服务(EHS),这些服务对实现全民医保至关重要。因此,要衡量各国在实现全民医保方面的进展情况,就必须对基本保健服务的提供情况进行监测。然而,目前还没有对这些服务进行全部门监测的机制。虽然 EHS 涵盖整个卫生部门,但监测工作却留给了个别的次级单位和卫生计划,而这些次级单位和计划往往局限于特定的疾病和卫生干预措施。这就很难监测提供这些服务时受到的干扰。这些干扰因素包括 COVID-19、马尔堡、埃博拉等流行病和大流行病以及季节性霍乱发病率。因此,本研究提出了 EHS 跟踪器这一数据可视化工具,以加强日常数据的使用,从而定期监测和跟踪 EHS。本文详细介绍了开发跟踪器的合作过程,并最终创建了工具本身。该论文为正在进行的利用创新解决方案加强数据使用实践的倡议做出了贡献,努力将数据使用实践和数据驱动决策制度化,以改善医疗保健服务的提供。
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引用次数: 0
Effect of the ICT‐enabled reclaimer system on the informal waste recycling system in Cape Town, South Africa: The Regenize model 信息和通信技术辅助回收系统对南非开普敦非正规废物回收系统的影响:再生模式
Pub Date : 2024-08-14 DOI: 10.1002/isd2.12345
Vincent Siwawa
The impact of information and communication technology (ICT)‐enabled waste management systems on municipal solid waste, waste reclaimer integration, and resource recovery is critical, particularly in the informal recycling sector. This study investigates the effects of the ICT‐enabled waste management system in Cape Town, South Africa, with a focus on the Regenize model. Leveraging digital technologies, the Regenize model aims to improve waste picker integration and resource recovery within the local waste management system. A qualitative research methodology involving semi structured interviews with key stakeholders in Cape Town's ICT‐enabled waste reclaimer system, data triangulation, and thematic content analysis was employed to investigate the system's transformative potential. Preliminary findings indicate the Regenize system's alignment with extended producer responsibility (EPR) principles and its embodiment of local entrepreneurial innovation. Waste pickers' active participation as cocreators of waste management mobile platforms has transitioned them from traditional waste collectors to technological contributors, enhancing their role in the waste management ecosystem. Furthermore, the ICT‐enabled waste reclaimer system has significantly regularized the status of foreign waste pickers, providing them with essential rights and access to banking services through mobile platforms. By utilizing Internet and Communication Technologies (ICTs) and the Internet of Things (IoT), the Regenize model not only improves resource recovery but also promotes sustainable waste management practices. This represents a substantial step towards inclusive urban waste management in Cape Town. The study's implications extend beyond Cape Town, offering valuable insights for enhancing waste management practices and promoting sustainability across South Africa's broader waste management landscape.
由信息和通信技术(ICT)支持的废物管理系统对城市固体废物、废物回收整合和资源回收的影响至关重要,尤其是在非正规回收部门。本研究调查了南非开普敦信息通信技术辅助废物管理系统的影响,重点关注 Regenize 模型。Regenize 模式利用数字技术,旨在改善当地废物管理系统中的废物拾取者整合和资源回收。为了研究该系统的变革潜力,我们采用了定性研究方法,包括对开普敦利用信息和通信技术的废物回收系统中的主要利益相关者进行半结构化访谈、数据三角测量和主题内容分析。初步研究结果表明,Regenize 系统符合生产者延伸责任(EPR)原则,体现了当地的企业创新。拾荒者作为废物管理移动平台的共同创造者积极参与,使他们从传统的废物收集者转变为技术贡献者,增强了他们在废物管理生态系统中的作用。此外,借助信息和通信技术的废物回收系统极大地规范了外国拾荒者的地位,通过移动平台为他们提供基本权利和银行服务。通过利用互联网和通信技术(ICT)以及物联网(IoT),Regenize 模式不仅提高了资源回收率,还促进了可持续废物管理实践。这标志着开普敦向包容性城市废物管理迈出了实质性的一步。这项研究的意义不仅限于开普敦,还为在南非更广泛的废物管理领域加强废物管理实践和促进可持续发展提供了宝贵的见解。
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引用次数: 0
Designing a farmers digital information system for sustainable agriculture: The perspective of Tanzanian agricultural stakeholders 为可持续农业设计农民数字信息系统:坦桑尼亚农业利益相关者的观点
Pub Date : 2024-08-08 DOI: 10.1002/isd2.12344
G. E. Mushi, Pierre-Yves Burgi, G. Serugendo
This paper is part of a broader study that aims to design and develop a digital platform that addresses the common challenges of smallholder farmers. More specifically, we analyzed stakeholders' opinions on the farmers' digital information system (FDIS) designed for sustainable agriculture in Tanzania. We used a qualitative research approach to interview 74 key agricultural stakeholders, including the Ministry of Agriculture, the government subsidy office, agricultural insurance companies, financial institutions, farmers, extension agents and agro‐dealers in 13 regions of Tanzania. The study findings reveal that most stakeholders could adhere to the FDIS design for sustainable agriculture, as it potentially solves common challenges by enabling access to quality farm inputs, credit and insurance services, subsidies, advisory services, and markets for their products. However, the study identified certain factors that could hinder the full potential of the envisaged system, such as digital illiteracy and poor ICT infrastructures in rural areas. By interviewing key agricultural stakeholders, we confirm the potential of FDIS to make agriculture more sustainable in low‐ and middle‐income countries. The FDIS should therefore contribute to food security, environmental protection, job creation and higher incomes, as the agriculture sector becomes more dynamic once it is localized and adapted to the needs of all agricultural stakeholders. In addition, the government is expected to play a key role in setting up the agricultural stakeholders at a national level to help them overcome the challenges involved in exploiting the full potential of the FDIS.
本文是一项更广泛研究的一部分,该研究旨在设计和开发一个数字平台,以解决小农面临的共同挑战。更具体地说,我们分析了利益相关者对为坦桑尼亚可持续农业设计的农民数字信息系统(FDIS)的意见。我们采用定性研究方法采访了坦桑尼亚 13 个地区的 74 个主要农业利益相关者,包括农业部、政府补贴办公室、农业保险公司、金融机构、农民、推广人员和农产品经销商。研究结果表明,大多数利益相关者都能遵守可持续农业发展信息制度的设计,因为该制度能使他们获得高质量的农业投入、信贷和保险服务、补贴、咨询服务以及产品市场,从而有可能解决共同面临的挑战。然而,研究发现,某些因素可能会阻碍所设想系统潜力的充分发挥,如农村地区的数字文盲和信息与传播技术基础设施薄弱。通过采访主要的农业利益相关者,我们确认了粮食流通信息服务系统使中低收入国家的农业更具可持续性的潜力。因此,FDIS 应有助于粮食安全、环境保护、创造就业和提高收入,因为农业部门一旦本地化并适应所有农业利益相关者的需求,就会变得更具活力。此外,预计政府将在国家层面建立农业利益相关方方面发挥关键作用,帮助他们克服在充分发挥 FDIS 潜力方面遇到的挑战。
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引用次数: 0
Portfolio management with the help of AI: What drives retail Indian investors to robo‐advisors? 借助人工智能进行投资组合管理:是什么促使印度散户投资者选择机器人顾问?
Pub Date : 2024-08-08 DOI: 10.1002/isd2.12346
Sougata Banerjee
Portfolio management is a critical component of financial investments. With the advent of artificial intelligence (AI)‐driven portfolio management, retail investors have the choice to utilize cutting‐edge technology to manage their investment portfolios. This study analyzes and portrays the effects of factors influencing the adoption of financial robo‐advisors (FRAs) among retail investors in India. A framework comprising eight constructs is proposed to understand FRA adoption. Structural equation modeling (SEM) was used to analyze data from 387 respondents among Indian retail investors using the IBM SPSS AMOS version 28 software package. The results indicate that technology readiness and financial literacy are the two strongest predictors of the behavioral intention to adopt FRA. Additionally, this study provides empirical evidence that social influence and investor type are relevant determinants of customers' decisions to adopt FRA. This study provides managers with guidance on the target segment of consumers for FRA and insights into the drivers of adoption. It further highlights the importance of investor profiling beyond just demographics to improve adoption.
投资组合管理是金融投资的重要组成部分。随着人工智能(AI)驱动的投资组合管理的出现,散户投资者可以选择利用尖端技术来管理他们的投资组合。本研究分析并描述了影响印度散户投资者采用金融机器人顾问(FRA)的因素。为了解 FRA 的采用情况,本研究提出了一个由八个构件组成的框架。使用 IBM SPSS AMOS 28 版软件包对印度散户投资者中 387 名受访者的数据进行了结构方程建模(SEM)分析。结果表明,技术准备和金融知识是预测采用 FRA 行为意向的两个最有力的因素。此外,本研究还提供了实证证据,证明社会影响和投资者类型是客户决定采用 FRA 的相关决定因素。本研究为管理者提供了关于 FRA 目标消费群体的指导,以及对采用 FRA 的驱动因素的深入了解。它还进一步强调了除人口统计学之外的投资者分析对于提高采用率的重要性。
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引用次数: 0
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THE ELECTRONIC JOURNAL OF INFORMATION SYSTEMS IN DEVELOPING COUNTRIES
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