WhatsApp何时改变其隐私政策:从推动者-抑制剂的角度解释WhatsApp的终止

IF 3.1 3区 管理学 Q2 COMPUTER SCIENCE, INFORMATION SYSTEMS Online Information Review Pub Date : 2023-02-28 DOI:10.1108/oir-04-2022-0232
Ali Farooq, Laila Dahabiyeh, Yousra Javed
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引用次数: 0

摘要

本文的目的是了解WhatsApp隐私政策变化后,WhatsApp用户的中断意图(discontinuance intention, DI)的启用和抑制因素。设计/方法/方法以使能者-抑制者模型为框架,研究模型由停药使能者不信任(DT)及其前因[(负面电子口碑(NEWOM)、负面线下口碑(NOWOM)和隐私侵犯(PI)]、停药抑制剂惯性(INR)及其前因(情感承诺)、使用偏最小二乘结构方程模型(PLS-SEM)对624名WhatsApp用户的数据进行了分析和验证。结果表明,由NEWOM和PI感产生的DT显著影响DI。然而,INR对DI没有显著影响。结构保证显著调节了DT和DI之间的关系。原创性/价值本文收集了许多WhatsApp用户由于WhatsApp服务条款的变化而转向其他平台的数据。与其他研究相比,数据收集的时间允许收集PI感的真实影响,而其他研究的影响是假设引起的。此外,作者承认社交媒体提供商为解决隐私批评和重新获得用户信任所做的努力,这一领域在之前的文献中很少受到关注。
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When WhatsApp changed its privacy policy: explaining WhatsApp discontinuation using an enablers-inhibitors' perspective
PurposeThe purpose of this paper is to understand the factors that enable and inhibit WhatsApp users' discontinuance intention (DI) following the change in WhatsApp's privacy policy.Design/methodology/approachUsing the enabler-inhibitor model as a framework, a research model consisting of discontinuation enabler distrust (DT) and the DT's antecedents [(negative electronic word of mouth (NEWOM), negative offline word of mouth (NOWOM) and privacy invasion (PI)], discontinuation inhibitor inertia (INR) and INR's antecedents (affective commitment, switching cost and use habit) and moderator structural assurance was proposed and tested with data from 624 WhatsApp users using partial least square structure equational modeling (PLS-SEM).FindingsThe results show that DT created due to NEWOM and a sense of PI significantly impact DI. However, INR has no significant impact on DI. Structural assurance significantly moderates the relationship between DT and DI.Originality/valueThe paper collected data when many WhatsApp users switched to other platforms due to the change in WhatsApp's terms of service. The timing of data collection allowed for collecting the real impact of the sense of PI compared to other studies where the effect is hypothetically induced. Further, the authors acknowledge social media providers' efforts to address privacy criticism and regain users’ trust, an area that has received little attention in prior literature.
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来源期刊
Online Information Review
Online Information Review 工程技术-计算机:信息系统
CiteScore
6.90
自引率
16.10%
发文量
67
审稿时长
6 months
期刊介绍: The journal provides a multi-disciplinary forum for scholars from a range of fields, including information studies/iSchools, data studies, internet studies, media and communication studies and information systems. Publishes research on the social, political and ethical aspects of emergent digital information practices and platforms, and welcomes submissions that draw upon critical and socio-technical perspectives in order to address these developments. Welcomes empirical, conceptual and methodological contributions on any topics relevant to the broad field of digital information and communication, however we are particularly interested in receiving submissions that address emerging issues around the below topics. Coverage includes (but is not limited to): •Online communities, social networking and social media, including online political communication; crowdsourcing; positive computing and wellbeing. •The social drivers and implications of emerging data practices, including open data; big data; data journeys and flows; and research data management. •Digital transformations including organisations’ use of information technologies (e.g. Internet of Things and digitisation of user experience) to improve economic and social welfare, health and wellbeing, and protect the environment. •Developments in digital scholarship and the production and use of scholarly content. •Online and digital research methods, including their ethical aspects.
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