全渠道触点下的隐私顾虑:多维度影响与策略

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全渠道触点对于隐私顾虑的影响:基于面板数据的研究深入探讨了在当今高度互联的商业环境中,企业如何应对复杂的顾客接触方式对消费者隐私保护意识产生的挑战。随着线上线下的无缝融合,诸如社交媒体、移动应用、实体店等多元化的接触点日益增多,这不仅改变了消费者的购物习惯,也引发了他们对个人信息安全的担忧。 研究者白寅和杨镓毓,来自天津大学管理与经济学部,通过分析一家保险公司26,093名客户在26周内的行为数据,构建了一个包含隐私顾虑等概念的面板数据模型。他们的研究旨在理解不同类型触点(如合作伙伴触点、顾客自主触点以及外部触点)在形成或减轻隐私顾虑中的作用机制。结果显示,无论是通过合作伙伴提供的服务,还是消费者自行选择的服务,或者外部第三方的互动,都可能对建立和维持良好的客户关系产生影响,进而影响到顾客对隐私保护的态度。 进一步的研究发现,企业的营销策略,如提供免费增值服务、促销活动等,可以在一定程度上缓解隐私顾虑对购买决策的抑制。这些举措表明,企业在实施营销策略时,必须充分考虑如何平衡消费者的需求和隐私保护,以提升顾客的信任度,减少负面效果。 关键词“企业管理”、“隐私顾虑”和“客户触点”突出了研究的核心议题,而“营销活动”则揭示了企业在解决隐私顾虑问题上的策略性实践。这篇首发论文提供了关于如何有效管理全渠道触点以减轻隐私顾虑对企业营销目标影响的重要见解,为企业在数字化转型中处理隐私问题提供了实证依据和指导。
2023-04-23 上传

The LULC simulation data we utilized to create future EN maps was produced by X. Liu et al. (2017), which was conducted at the national level. The reason we apply national-level simulated data to a local area is as follows. Firstly, China has a top-down land use planning system (also known as spatial planning) with five levels. The quantitative objectives in national plans are handed down to county-level plans through provincial and prefectural level plans (Zhong et al., 2014). That means land use patterns of nine cities in WUA are required to reflect relevant upper-level plans, for example, to satisfy the land use quota made by Hubei provincial plans and the national plans. Secondly, there are interdependencies across places so what happens in one region produces effects not only on this location but on other regions (Overman et al., 2010). And the increase of construction land in one place will shift protection pressure on natural ecosystems elsewhere for a sustainable goal. The land use simulation at the national level allocated land resources from a top-down perspective and links land use changes in a region to events taking place in other locations through global simulation. However, the Kappa coefficient of the simulated data in WUA is 0.55 and the overall accuracy is 0.71, which is lower than the statistic value at the national-level data. Although the Kappa between 0.4~0.6 is moderate and at an acceptable level (Appiah et al., 2015; Ding et al., 2013; Ku, 2016), the simulated accuracy of the land use data needs to be improved. Future work on exploring the impact of LULC dynamics on EN will develop based on the high-accuracy simulated data and updating the initial simulated time to 2020, by integrating the impacts of socioeconomic factors, climate change, regional planning, land use policy, etc.

2023-02-22 上传