Managing Government Digital Reputation through Big Data Processing

K. Nisa', E. Rusfian, Zaenab Zaenab
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引用次数: 6

Abstract

The objective of this paper is to assess government reputation management performance by lev-eraging Big Data technology, internet, and public relations capacity, in particular creating credible information for the public. The research used a case study methodology on Indonesi-aBaik.id management for the period between 13th September to 13th October, 2017. The focus of the research was on the degree to which big data processing influenced communication, pub-lic persuasion, and content. Research techniques used to collect data including in-depth inter-views, observation, and literature review through elated techniques. Research findings indicate that effective Big Data processing is underpinned by quality data analysis and creative content development skills. This research contributes to knowledge on the application of online reputa-tion management processes for public relations officials and general readers based on the four steps of management process by Cutlip as applied to reputation management analysis using Big Data technology effectiveness. Based on the result of the research the government reputation management practice should also followed by higher competence of the public relation officials especially on the skill of reputation management process and public persuasion skill, thus, the process of creating credible information can be done adequately.
通过大数据处理管理政府数字声誉
本文的目的是通过利用大数据技术、互联网和公共关系能力,特别是为公众创造可信的信息,来评估政府声誉管理的绩效。该研究采用了印度尼西亚- abaik的案例研究方法。2017年9月13日至10月13日期间的id管理。研究的重点是大数据处理对传播、公众说服和内容的影响程度。收集数据的研究方法包括深入访谈、观察和通过相关技术进行文献回顾。研究结果表明,有效的大数据处理是由高质量的数据分析和创造性的内容开发技能支撑的。本研究基于Cutlip将管理过程的四个步骤应用于使用大数据技术进行声誉管理分析,有助于了解公共关系官员和普通读者对在线声誉管理流程的应用。根据研究结果,政府声誉管理实践还应遵循更高的公关官员能力,特别是声誉管理过程技能和公众说服技能,从而充分完成可信信息的创造过程。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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