Teknologi artificial intelligence akan merevolusi semua industri, tidak hanya akan terjadi pada perusahaan besar. Tidak ada yang kebal dari disrupsi teknologi AI. Dari keuangan sampai pertanian, kesehatan dan pendidikan, public relations (PR) dan jurnalisme juga akan terkena dampaknya. Bagaimana artificial intelligence merevolusi pekerjaan PR, dan seberapa cepat perubahan ini terjadi? Saat ini kajian mengenai artificial intelligene yang berpengaruh bagi pekerjaan PR dan jurnalisme masih terbatas. Proses pengumpulan data dimulai sejak April hingga November 2018, dengan metode utama survei online diikuti oleh 220 responden dalam waktu 48 jam. Survei didistribusikan kepada praktisi PR di Indonesia. Selain itu, wawancara semi-terstruktur dilakukan dengan 10 responden. Berdasarkan penelitian, pekerjaan PR apa saja yang dapat tergantikan oleh teknologi big data dan AI antara lain : kliping berita sebanyak 45%; menganalisis berita di media sebesar 45%; hubungan media dan pemangku kepentingan sebesar 37%; manajemen konten media sosial sebesar 34%; mendistribusikan rilis sebesar 33%; Foto dan video 24%; pekerjaan yang kemungkinan kecil untuk digantikan oleh mesin adalah presentasi atau face to face communication (18%). Sebagai kesimpulan bahwa manusia masih diperlukan pada tingkat yang lebih strategis dari aktivitas PR, seperti menganalisis data lebih lanjut hasil media monitoring, yang sifatnya prediksi dan preventif atau preskriptif. Riset juga menghasilkan kompetensi baru public relations antara lain : kompetensi untuk data analysis, social media management, influencer dan content creator. Penelitian ini baru karena topik tentang Artificial intelligence dalam Public Relations, berdasarkan kajian praktisi di Indonesia, belum pernah dibahas sebelumnya. Riset Ini memiliki potensi untuk memiliki dampak yang cukup besar bagi profesi PR, serta dampak yang lebih luas pada penerapan manajemen komunikasi dan teknologi informasi bagi profesi PR.
Background: It is critical to understand the factors that could affect the acceptance of the coronavirus disease 2019 (COVID-19) vaccine in the community. The aim of this study was to determine factors that could possibly affect the acceptance of Indonesian citizens of COVID-19 vaccination using a Technology Acceptance Model (TAM), a model how users come to accept and use a technology. Methods: An online survey was conducted between the first and fifth of November, 2020. Participants were asked to respond to questions on acceptance, perceived usefulness, perceived ease of use, perceived religiosity towards, and amount of information about COVID-19. This study used the Technology Acceptance Model (TAM) as the framework to decide factors that affect vaccine acceptance. Structural Equation Model was employed to assess the correlation between all explanatory variables and vaccine acceptance. Mann-Whitney test and Kruskal-Wallis rank were employed to assess demographic factors associated with acceptance. Results: In total, 311 responses were included for analysis. Our TAM model suggested that high perceived usefulness significantly increased COVID-19 vaccine acceptance and high perceived ease of use significantly increased the perceived usefulness. Perceived religiosity did not substantially affect vaccine acceptance. The amount of information on COVID-19 also did not significantly affect vaccine acceptance. Our data suggested that vaccine acceptance was associated with age, type of occupation, marital status and monthly income to some degree. Conclusion: Since perceived usefulness affects vaccine acceptance, the government should focus on the usefulness of the vaccine when promoting the COVID-19 vaccine to Indonesian citizens. In addition, since perceived ease of use significantly affects users’ acceptance to COVID-19 vaccine, the easier to acquire the vaccine in the community, the higher chance that the citizens are willing to be vaccinated.
Background: It is critical to understand the factors that could affect the acceptance of the coronavirus disease 2019 (COVID-19) vaccine in the community. The aim of this study was to determine factors that could possibly affect the acceptance of Indonesian citizens of COVID-19 vaccination. Methods: An online survey was conducted between the first and fifth of November, 2020. Participants were asked to respond to questions on acceptance, perceived usefulness, perceived ease of use, perceived religiosity towards, and amount of information about COVID-19. This study used the Technology Acceptance Model (TAM) as the framework to decide factors that affect vaccine acceptance. Structural Equation Model was employed to assess the correlation between all explanatory variables and vaccine acceptance. Mann-Whitney test and Kruskal-Wallis rank were employed to assess demographic factors associated with acceptance. Results: In total, 311 responses were included for analysis. Our TAM model suggested that high perceived usefulness significantly increased COVID-19 vaccine acceptance and high perceived ease of use significantly increased the perceived usefulness. Perceived religiosity did not substantially affect vaccine acceptance. The amount of information on COVID-19 also did not significantly affect vaccine acceptance. Our data suggested that vaccine acceptance was associated with age, type of occupation, marital status and monthly income to some degree. Conclusion: Since perceived usefulness affects vaccine acceptance, the government should focus on the usefulness of the vaccine when promoting the COVID-19 vaccine to Indonesian citizens. In addition, since perceived ease of use significantly affects users’ acceptance to COVID-19 vaccine, the easier to acquire the vaccine in the community, the higher chance that the citizens are willing to be vaccinated.
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