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Effectiveness of city halls’ social networking sites in Poland based on the Data Envelopment Analysis (DEA) Methodology

机译:基于数据包络分析(DEA)方法的波兰市政厅社交网站的有效性

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This contribution presents an evaluation of the effectiveness of the social media platform (Facebook, Instagram) promoting the brands of main city halls in Poland based on the DEA (Data Envelopment Analysis) methodology and its selected models.The research question is that inhabitants use the fun pages of the city halls in Poland on the Facebook and Instagram social networks to get information about public e-services, public activities, projects, reports, and city views.In September 2020, data were collected on input and output variables, with input data being photos, posts, and links to social networking sites of city halls in Poland on Facebook, Instagram, and LinkedIn, and output data such as Likes, Comments, and Shares. The measurement of the efficiency of these input and output variables in order to assess the effectiveness of 18 main city halls in Poland was based on an input-oriented CCR DEA model. The number of Likes, Comments, and Shares on the Facebook, Instagram pages of the 18 city halls suggests that city inhabitants use Social Media to learn more about the services, events, and news they provide. Therefore, the DEA model is a functional tool to help evaluate the effectiveness of a public sector on a social network in promoting its e-services and activities, as it uses multiple variables and does not necessarily require an input-output relationship. The results of using this method confirmed the research question.The results of the analysis show the current state of using social networking sites by the offices of the largest cities in Poland. Over 60% of examined profiles publish posts with low effectiveness. The obtained data show posts with the most effective topics. In the paper, six models were developed for which the effectiveness of posts was examined in terms of their topics. The results of the analysis indicate that posts with the themes of "e-services" and "ex-ante relationships" receive a higher number of responses. The least effective represent posts from the groups: "ex-post relations", "representatives of the city government", and the "city panorama".
机译:这一贡献提出了评估了社交媒体平台(Facebook,Instagram)的有效性,基于DEA(数据包络分析)方法及其选定模型在波兰促进波兰的品牌。研究问题是居民使用波兰在Facebook和Instagram社交网络上的城市大厅的有趣页面,以获取有关公共电子服务,公共活动,项目,报告和城市次数的信息。在2020年9月,数据被收集在输入和输出变量上,输入数据是Poland在Facebook,Instagram和LinkedIn的波兰的社交网站的照片,帖子和链接,以及等输出数据,如喜欢,评论和共享。测量这些输入和输出变量的效率,以评估波兰18个主要城市大厅的有效性,基于输入为导向的CCR DEA模型。 Facebook上的喜欢,评论和股票的数量,18个City Halls的Instagram页面认为,城市居民使用社交媒体了解他们提供的服务,活动和新闻。因此,DEA模型是一个功能工具,可以帮助评估公共部门在促进其电子服务和活动方面的公共部门的有效性,因为它使用多个变量,并且不一定需要输入输出关系。使用该方法的结果证实了研究问题。分析结果显示了波兰最大城市的社交网站的现状。超过60%的审查的简介发布了低效力的帖子。获得的数据显示帖子具有最有效的主题。在本文中,开发了六种模型,以便在其主题方面审查了帖子的有效性。分析结果表明,帖子与“电子服务”和“前蚂蚁关系”的主题接受了更高数量的响应。最含量的有效代表来自组织的职位:“城市政府代表”,“城市全景”。

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