Gender Equitable Interactions Online (GEiO): Supporting Gender Equity In Work-based Videoconferencing

在线性别平等互动 (GEiO)：支持工作视频会议中的性别平等

• 批准号: ES/X00533X/1
• 负责人: Lisa Maria Lazard
• 金额: $ 52.94万
• 依托单位: The Open University
• 依托单位国家: 英国
• 项目类别: Research Grant
• 财政年份: 2022
• 资助国家: 英国
• 起止时间: 2022 至 无数据
• 项目状态: 未结题
• 来源: https://gtr.ukri.org/projects?ref=ES%2FX00533X%2F1
• 关键词: Gender; Equitable; Interactions; Online; GEiO

The GEiO project investigates the role of gender in online group meetings. Research exploring the ways in which gender becomes relevant to videoconferencing at work remains in its infancy. Recent research suggests that with the exponential rise in digitally mediated working patterns and new reliance on videoconferencing platforms, organisations are currently ill-equipped to address unequal treatment online and there is a lack of understanding, training or policy around these issues. A key aim is to build new transnational evidence on the currently unexplored ways in which digital videoconferencing innovations can be used to support or resist gender inequity at work. The empirical research questions are:1. How is gender performed and accomplished in online meetings on videoconferencing platforms? 2. How do the affordances of digital environments mediate the processes of othering in professional contexts? 3. How are gendered interactions on videoconferencing platforms understood by those using them? 4. How do people enact and resist gendered positionings in online work meetings, in particular those that are experienced as gendered harassment and violence? 5. How can technologies be used to support equitable intersectional relationships in an online meeting context? Three different and complementary methods will be used to explore the micro (study 1), meso (study 2) and macro (study 3) gendered processes that are relevant to videoconferencing at work. This includes three different approaches to collecting data to address all aspects of the five research questions. Study 1 will collect data in the form of video recorded online work meetings, comprised of mixed gender groups. Data will be analysed using conversation analysis. The research team will work with our corporation partner (CP) as well as one private multinational organisation in each partner country which will serve as a case study. Three to five meetings from each organisation per country will be included in the data corpus. Each meeting will include a maximum of 10 participants of which at least three will be women. Study 2 will use Q methodology to explore shared understandings. It does so through the use of both statistical and thematic analytic techniques. Participants (N = 40/50 per country,) will be recruited through the same multinational organisations taking part in Study 1 for comparison and consistency. Study 3 will use the innovative method of Story Completion (SC) tasks for data collection and discursive analysis of the collected data. SC allows us to tap into social perceptions and meanings, as well as the understandings, on a given topic. Data will be collected via secure online survey platforms (e.g. Qualtrics) which has the benefit of reaching a wider, more geographically dispersed sample, and enables the social and cultural, macro- level, meanings to be captured. This macro level focus is thus reflected in the wider sampling strategy, which will recruit a minimum of 100 participants per nation - an established standard in SC studies for the generation of a data sample. Findings from the three studies will then be brought together, reintegrated and contextualised within the existing literature by the GEiO team to produce an overall analysis of the micro, meso and macro elements of the gendered interactions and experiences of videoconferencing. By approaching the data both by study and by country, this methodological design will enable cross-national comparisons at different levels of analysis.The research findings will provide a firm basis for knowledge exchange with private sector organisations to develop evidence-based training and policy that better respond to the needs of those who have experienced gendered discrimination in a digital work context. An accredited micro credential training course on gender equitable interactions online will be produced and translated into the languages used in each of the partner locations.

GEiO项目调查了性别在在线小组会议中的作用。性别与工作视频会议相关的研究仍处于起步阶段。最近的研究表明，随着数字媒介工作模式的指数级增长和对视频会议平台的新依赖，企业目前没有能力解决在线不平等待遇问题，而且缺乏对这些问题的理解、培训或政策。一个关键目标是建立新的跨国证据，证明目前尚未探索的方法可以利用数字视频会议创新来支持或抵制工作中的性别不平等。实证研究的问题有：1。在视频会议平台的在线会议中，性别是如何表现和完成的？2. 数字环境的支持如何在专业背景下调解他人的过程？3. 使用视频会议平台的人如何理解视频会议平台上的性别互动？4. 人们如何在在线工作会议中制定和抵制性别定位，特别是那些经历过性别骚扰和暴力的会议？5. 如何利用技术来支持在线会议环境中公平的交叉关系？三种不同的和互补的方法将被用来探索微观（研究1），中观（研究2）和宏观（研究3）性别过程是相关的视频会议在工作中。这包括三种不同的方法来收集数据，以解决五个研究问题的所有方面。研究1将以视频的形式收集数据，记录在线工作会议，由混合性别群体组成。数据将使用会话分析进行分析。研究团队将与我们的公司合作伙伴（CP）以及每个合作伙伴国家的一个私营跨国组织合作，这将作为一个案例研究。每个国家每个组织的三至五次会议将列入数据语料库。每次会议最多将有10名与会者，其中至少有3名是妇女。研究2将使用Q方法来探索共同的理解。它通过使用统计和专题分析技术来做到这一点。参与者（每个国家N = 40/50）将通过参与研究1的相同跨国组织招募，以进行比较和一致性。研究3将使用故事完成（SC）任务的创新方法进行数据收集和收集数据的话语分析。SC使我们能够深入了解社会观念和意义，以及对给定主题的理解。数据将通过安全的在线调查平台（如Qualtrics）收集，这有利于获得更广泛、更分散的地理样本，并能够捕获社会和文化宏观层面的意义。因此，这种宏观层面的重点反映在更广泛的抽样战略中，该战略将招募每个国家至少100名参与者- -这是SC研究中生成数据样本的既定标准。然后，GEiO小组将把这三项研究的结果汇集起来，重新整合并纳入现有文献，以便对视像会议的性别相互作用和经验的微观、中观和宏观因素进行全面分析。通过按研究和按国家处理数据，这种方法设计将能够在不同的分析水平上进行跨国比较。研究结果将为与私营部门组织的知识交流提供坚实的基础，以制定基于证据的培训和政策，更好地满足那些在数字工作环境中遭受性别歧视的人的需求。将制作一个关于网上两性平等互动的经认可的微型证书培训课程，并将其翻译成每个伙伴地点使用的语言。