EAGER: Identifying Technical and Non-Technical Feature Requirements to Generate Income-Earning Opportunities for Inexperienced Entrepreneurs

EAGER：确定技术和非技术功能要求，为缺乏经验的企业家创造创收机会

• 批准号: 1665049
• 负责人: Tawanna Dillahunt
• 金额: $ 15.49万
• 依托单位: Regents of the University of Michigan - Ann Arbor
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2017
• 资助国家: 美国
• 起止时间: 2017-04-01 至 2019-03-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1665049&HistoricalAwards=false
• 关键词: EAGER; Identifying; Technical; Non; Feature

This project seeks to discover some of the technical and non-technical "hidden" requirements for technology-driven, shared-economy entrepreneurship. This research will uncover the degree to which these hidden requirements are a challenge, especially for those who are not habitual shared-economy participants. Sharing economy platforms such as Uber, Lyft, eBay, Etsy, and Airbnb connect buyers and sellers and allow novice entrepreneurs to do business online. The sharing economy narrative emphasizes job creation and an easy ramp to small-scale entrepreneurship. Critics, however, have called into question what these systems actually provide for the least well-off, many of whom have limited experience with entrepreneurship and digital technology. This project very intentionally seeks broader impacts that aim to make the sharing economy more inclusive by simultaneously harnessing the strengths of local citizens, increasing community engagement, and raising economic prospects for the less well-off. A direct outcome of the research is to kick-start a working model for turning everyday citizens into tech-enabled, small-scale entrepreneurs.The research will follow a case study approach consisting of observations, participatory design exercises, informant interviews, and focus groups to examine the foundational factors that enable participants to successfully operate in a shared economy around tourism. Actively participating with the community, the team of researchers will use a participatory approach to embed this investigation into the working of an enterprise in which community members conduct neighborhood tours as a way to earn additional income. Participants will design the tours, handle logistics, and ultimately deliver the tours. For the purposes of analysis, documentation, and recording of all technical and non-technical support required to run the business, the research will elicit participant aspirations, run design exercises to determine tour content, and provide technical assistance and connections with legal and business advisors. The factors enabling successful participation in the sharing economy are poorly understood, especially with regard to non-technical components. The intellectual goal of this investigation will be to uncover the hidden needs and limitations of traditional sharing economy platforms and to identify methods required to meet these needs and requirements, especially as they relate to inexperienced entrepreneurs.

该项目旨在发现技术驱动的共享经济创业的一些技术和非技术“隐藏”要求。 这项研究将揭示这些隐藏的需求是一个挑战的程度，特别是对于那些不习惯共享经济的参与者。Uber、Lyft、eBay、Etsy和Airbnb等共享经济平台将买家和卖家联系起来，并允许新手创业者在网上做生意。共享经济的叙事强调创造就业机会和轻松进入小规模创业。然而，批评者质疑这些系统实际上为最不富裕的人提供了什么，他们中的许多人在创业和数字技术方面的经验有限。 该项目非常有意识地寻求更广泛的影响，旨在通过同时利用当地公民的优势，增加社区参与，并提高经济前景，使共享经济更具包容性。该研究的直接成果是启动一个将普通公民转变为技术型小规模企业家的工作模式。该研究将遵循案例研究方法，包括观察，参与式设计练习，知情人访谈和焦点小组，以研究使参与者能够成功地在围绕旅游的共享经济中运营的基本因素。研究人员团队积极参与社区，将采用参与式方法，将这项调查嵌入到一个企业的工作中，在该企业中，社区成员进行邻里图尔斯旅游，作为赚取额外收入的一种方式。 参与者将设计图尔斯，处理物流，并最终提供图尔斯。为了分析、记录和记录经营业务所需的所有技术和非技术支持，研究将激发参与者的愿望，进行设计练习以确定旅游内容，并提供技术援助和与法律的和业务顾问的联系。人们对成功参与共享经济的因素知之甚少，特别是非技术因素。本次调查的智力目标将是揭示传统共享经济平台的隐藏需求和局限性，并确定满足这些需求和要求所需的方法，特别是当它们与缺乏经验的企业家有关时。

项目成果

Entrepreneurship and the Socio-Technical Chasm in a Lean Economy

精益经济中的创业精神和社会技术鸿沟

• DOI: 10.1145/3173574.3173814
• 发表时间: 2018
• 期刊: CHI ... conference proceedings--CHI Conference
• 作者: Dillahunt, T.;Kameswaran, V.;McLain, D.;Lester, M.;Orr, D.;Toyama, K.
• 通讯作者: Toyama, K.

Community Collectives: Low-tech Social Support for Digitally-Engaged Entrepreneurship

• DOI: 10.1145/3313831.3376363
• 发表时间: 2020-04
• 期刊: Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems
• 作者: Julie Hui;Nefer Ra Barber;W. Casey;Suzanne Cleage;Danny C. Dolley;Frances Worthy;K. Toyama;Tawanna R. Dillahunt