Technology builds the journalist star? An experiment on the effects of human star power and content exclusiveness on reading, sharing and paying intentions for online news

IF 0.6 Q4 BUSINESS Journal of Media Business Studies Pub Date : 2021-10-18 DOI:10.1080/16522354.2021.1989972
Nina Klaß
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引用次数: 2

Abstract

ABSTRACT Technology has massively disrupted the news media, and the limited intention to pay for digital products is still an economic challenge. Other industries, such as film, politics, and sports, have heavily relied on human stars to increase success. Digitisation and the rise of social media have enabled formerly “hidden” journalists to engage in human branding. Against this backdrop, research has neglected the potential of frontline employees such as journalists to drive digital product success. While research has found that strategic brand management can foster human brands, this study is the first to investigate and empirically validate how star power and the exclusiveness of content affect behaviour intentions such as reading, sharing and paying intentions in the specific case of digital news media. The study is based on an online survey and includes an experiment (n=375), ANCOVA and regression analysis. The results suggest interaction effects of exclusiveness of content and star power on reading and sharing intention and an increasing influence of exclusiveness of content on paying intention. The results offer much needed guidance for media companies in searching for sustainable digital business success. Furthermore, this research provides a basis for implementing strategic human brand management in the news industry.
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科技造就新闻明星?人的明星效应和内容独占性对网络新闻阅读、分享和付费意愿影响的实验
科技极大地颠覆了新闻媒体,人们有限的购买数字产品的意愿仍然是一个经济挑战。其他行业,如电影、政治和体育,都严重依赖人类明星来增加成功。数字化和社交媒体的兴起使以前“隐藏”的记者能够参与到人类品牌建设中来。在这种背景下,研究忽视了记者等一线员工推动数字产品成功的潜力。虽然有研究发现战略品牌管理可以培育人类品牌,但本研究首次调查并实证验证了明星效应和内容的排他性如何影响数字新闻媒体的阅读、分享和付费意愿等行为意愿。本研究基于在线调查,包括实验(n=375)、方差分析和回归分析。结果表明,内容独占性和明星效应对阅读和分享意愿的交互作用,以及内容独占性对付费意愿的影响越来越大。研究结果为媒体公司寻求可持续的数字商业成功提供了急需的指导。此外,本研究为新闻行业实施战略性人力品牌管理提供了依据。
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来源期刊
CiteScore
4.00
自引率
7.70%
发文量
10
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