低收入国家用户需求开发的开放式、聚类和离散选择方法的评估

Q1 Economics, Econometrics and Finance
Amir Sabet Sarvestani , Richard Gonzalez , Timothy R.B. Johnson , Marianna J. Coulentianos , Kathleen H. Sienko
{"title":"低收入国家用户需求开发的开放式、聚类和离散选择方法的评估","authors":"Amir Sabet Sarvestani ,&nbsp;Richard Gonzalez ,&nbsp;Timothy R.B. Johnson ,&nbsp;Marianna J. Coulentianos ,&nbsp;Kathleen H. Sienko","doi":"10.1016/j.deveng.2023.100112","DOIUrl":null,"url":null,"abstract":"<div><p>High quality user requirements are positively correlated with successful design outcomes, but engaging stakeholders within low-income contexts can present financial and time-related challenges to product developers from non-local industrial and academic institutions with limited knowledge of the context. Existing literature provides guidance for engaging stakeholders during the early stages of product design in high-income country contexts, but few studies have examined the effectiveness of these methods in low-income country contexts. This study evaluated three user requirements elicitation and prioritization methods including open-ended, clustering, and discrete choice. Ghanaian healthcare delivery stakeholders with varying types of expertise, years of experience, and from various types of healthcare facilities were recruited to allow for diversity of responses. Participants included physicians (n = 10), nurses/midwives (n = 16), biomedical technicians (n = 14), and public health officers (n = 7). A hypothetical mechanical device for managing and treating postpartum hemorrhage was chosen to characterize each method's ability to elicit and prioritize user requirements. The open-ended method captured general requirements of a design concept, yet resulted in predominantly generic requirements. The results from the open-ended method were used to inform the clustering and discrete choice methods. The clustering and discrete choice methods were useful for inferring in-depth user requirements and eliciting stakeholder priorities. The clustering method revealed that usability and affordability were high-priority requirements among all four stakeholder groups. An individual difference scaling analysis was performed using the clustering method outcomes, which indirectly identified ease-of-use, availability, and effectiveness as the priority user requirements categories. Stakeholders ranked ease-of-use as the highest-priority user requirement, followed by performance, cost, and place-of-origin requirements, using the discrete choice method. Given the significance of the ease-of-use requirement, an analytical framework based on sub-requirements was developed for quantifying stakeholder needs. Lastly, the relative merits of the three elicitation approaches and their implications for use with different stakeholder groups were examined.</p></div>","PeriodicalId":37901,"journal":{"name":"Development Engineering","volume":"8 ","pages":"Article 100112"},"PeriodicalIF":0.0000,"publicationDate":"2023-04-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Evaluation of open-ended, clustering, and discrete choice methods for user requirements development in a low-income country context\",\"authors\":\"Amir Sabet Sarvestani ,&nbsp;Richard Gonzalez ,&nbsp;Timothy R.B. Johnson ,&nbsp;Marianna J. Coulentianos ,&nbsp;Kathleen H. Sienko\",\"doi\":\"10.1016/j.deveng.2023.100112\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>High quality user requirements are positively correlated with successful design outcomes, but engaging stakeholders within low-income contexts can present financial and time-related challenges to product developers from non-local industrial and academic institutions with limited knowledge of the context. Existing literature provides guidance for engaging stakeholders during the early stages of product design in high-income country contexts, but few studies have examined the effectiveness of these methods in low-income country contexts. This study evaluated three user requirements elicitation and prioritization methods including open-ended, clustering, and discrete choice. Ghanaian healthcare delivery stakeholders with varying types of expertise, years of experience, and from various types of healthcare facilities were recruited to allow for diversity of responses. Participants included physicians (n = 10), nurses/midwives (n = 16), biomedical technicians (n = 14), and public health officers (n = 7). A hypothetical mechanical device for managing and treating postpartum hemorrhage was chosen to characterize each method's ability to elicit and prioritize user requirements. The open-ended method captured general requirements of a design concept, yet resulted in predominantly generic requirements. The results from the open-ended method were used to inform the clustering and discrete choice methods. The clustering and discrete choice methods were useful for inferring in-depth user requirements and eliciting stakeholder priorities. The clustering method revealed that usability and affordability were high-priority requirements among all four stakeholder groups. An individual difference scaling analysis was performed using the clustering method outcomes, which indirectly identified ease-of-use, availability, and effectiveness as the priority user requirements categories. Stakeholders ranked ease-of-use as the highest-priority user requirement, followed by performance, cost, and place-of-origin requirements, using the discrete choice method. Given the significance of the ease-of-use requirement, an analytical framework based on sub-requirements was developed for quantifying stakeholder needs. Lastly, the relative merits of the three elicitation approaches and their implications for use with different stakeholder groups were examined.</p></div>\",\"PeriodicalId\":37901,\"journal\":{\"name\":\"Development Engineering\",\"volume\":\"8 \",\"pages\":\"Article 100112\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-04-26\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Development Engineering\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S2352728523000064\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"Economics, Econometrics and Finance\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Development Engineering","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2352728523000064","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"Economics, Econometrics and Finance","Score":null,"Total":0}
引用次数: 0

摘要

高质量的用户需求与成功的设计成果呈正相关,但在低收入背景下参与利益相关者可能会给来自非本地工业和学术机构的产品开发人员带来财务和时间方面的挑战,因为他们对环境的了解有限。现有文献为在高收入国家背景下产品设计的早期阶段吸引利益相关者提供了指导,但很少有研究检验这些方法在低收入国家背景下的有效性。本研究评估了三种用户需求激发和优先级排序方法,包括开放式、聚类和离散选择。我们从不同类型的医疗保健机构招募了具有不同类型专业知识、多年经验的加纳医疗保健服务利益攸关方,以实现响应的多样性。参与者包括医生(n = 10)、护士/助产士(n = 16)、生物医学技术人员(n = 14)和公共卫生官员(n = 7)。选择一种用于管理和治疗产后出血的假想机械装置来表征每种方法引发和优先考虑用户需求的能力。开放式方法捕获了设计概念的一般需求,但导致了主要的一般需求。开放式方法的结果用于聚类和离散选择方法。聚类和离散选择方法对于推断深度用户需求和引出利益相关者优先级是有用的。聚类方法表明,可用性和可负担性是所有四个涉众组的高优先级需求。使用聚类方法结果进行个体差异缩放分析,间接确定易用性、可用性和有效性作为优先用户需求类别。涉众使用离散选择方法,将易用性列为最高优先级的用户需求,其次是性能、成本和原产地需求。鉴于易用性需求的重要性,开发了一个基于子需求的分析框架,用于量化涉众的需求。最后,研究了三种启发方法的相对优点及其对不同利益相关者群体使用的影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Evaluation of open-ended, clustering, and discrete choice methods for user requirements development in a low-income country context

High quality user requirements are positively correlated with successful design outcomes, but engaging stakeholders within low-income contexts can present financial and time-related challenges to product developers from non-local industrial and academic institutions with limited knowledge of the context. Existing literature provides guidance for engaging stakeholders during the early stages of product design in high-income country contexts, but few studies have examined the effectiveness of these methods in low-income country contexts. This study evaluated three user requirements elicitation and prioritization methods including open-ended, clustering, and discrete choice. Ghanaian healthcare delivery stakeholders with varying types of expertise, years of experience, and from various types of healthcare facilities were recruited to allow for diversity of responses. Participants included physicians (n = 10), nurses/midwives (n = 16), biomedical technicians (n = 14), and public health officers (n = 7). A hypothetical mechanical device for managing and treating postpartum hemorrhage was chosen to characterize each method's ability to elicit and prioritize user requirements. The open-ended method captured general requirements of a design concept, yet resulted in predominantly generic requirements. The results from the open-ended method were used to inform the clustering and discrete choice methods. The clustering and discrete choice methods were useful for inferring in-depth user requirements and eliciting stakeholder priorities. The clustering method revealed that usability and affordability were high-priority requirements among all four stakeholder groups. An individual difference scaling analysis was performed using the clustering method outcomes, which indirectly identified ease-of-use, availability, and effectiveness as the priority user requirements categories. Stakeholders ranked ease-of-use as the highest-priority user requirement, followed by performance, cost, and place-of-origin requirements, using the discrete choice method. Given the significance of the ease-of-use requirement, an analytical framework based on sub-requirements was developed for quantifying stakeholder needs. Lastly, the relative merits of the three elicitation approaches and their implications for use with different stakeholder groups were examined.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
Development Engineering
Development Engineering Economics, Econometrics and Finance-Economics, Econometrics and Finance (all)
CiteScore
4.90
自引率
0.00%
发文量
11
审稿时长
31 weeks
期刊介绍: Development Engineering: The Journal of Engineering in Economic Development (Dev Eng) is an open access, interdisciplinary journal applying engineering and economic research to the problems of poverty. Published studies must present novel research motivated by a specific global development problem. The journal serves as a bridge between engineers, economists, and other scientists involved in research on human, social, and economic development. Specific topics include: • Engineering research in response to unique constraints imposed by poverty. • Assessment of pro-poor technology solutions, including field performance, consumer adoption, and end-user impacts. • Novel technologies or tools for measuring behavioral, economic, and social outcomes in low-resource settings. • Hypothesis-generating research that explores technology markets and the role of innovation in economic development. • Lessons from the field, especially null results from field trials and technical failure analyses. • Rigorous analysis of existing development "solutions" through an engineering or economic lens. Although the journal focuses on quantitative, scientific approaches, it is intended to be suitable for a wider audience of development practitioners and policy makers, with evidence that can be used to improve decision-making. It also will be useful for engineering and applied economics faculty who conduct research or teach in "technology for development."
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信