案例研究-客户关系管理,智能信息系统和道德

Macnish Kevin, Fernandez Inguanzo Ana
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引用次数: 10

摘要

智能信息系统(SIS -大数据和人工智能)用于客户关系管理(CRM),以帮助管理大型客户数据库并改善公司与客户的互动。本案例研究涉及对芬兰电信供应商A公司在开发CRM中使用SIS的研究。他们主要用它来评估“流失率”,即选择不再订阅公司A服务的客户的流失率,并通过监控公司A网站上的客户活动来改善客户服务。SIS有潜力通过发展基于行为模式的理解来改善这两个领域。一篇关于在客户关系管理中使用SIS所面临的伦理问题的文献综述显示,存在许多这样的问题。其中包括自主性、对人的控制和操纵、隐私、客户对与他们有关的数据会发生什么的了解、算法偏见、公司、政府和个人的责任、信任和知情同意。在A公司进行的访谈表明,在SIS中操作的从业者认识到并遇到了许多这些问题。在访谈中没有讨论知情同意和信任,而在访谈中以文献综述中未见的方式提出了全球伦理方法。总体而言,本案例研究评估了SIS文献中发现的道德问题如何与CRM商业实践中发现和解决的道德问题相关联。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Case Study - Customer Relation Management, Smart Information Systems and Ethics

Smart information systems (SIS - Big Data and artificial intelligence) are used in Customer Relations Management (CRM) to help manage large customer databases and improve customer interaction by companies. This case study involves research into the Finnish telecommunications provider Company A regarding their use of SIS in developing CRM. This they use primarily for assessing “churn”, the drop-off rate of customers choosing not to re-subscribe to Company A services, and for improving customer service by monitoring customer activity on Company A’s website. SIS has the potential to improve both of these areas through developing an understanding based on patterns of behaviour.

A literature review of ethical issues facing the use of SIS in CRM reveals that there are a number of such issues. These include autonomy, control and manipulation of people, privacy, customer knowledge as to what happens with data pertaining to them, algorithmic bias, responsibility of companies, governments and individuals, trust and informed consent. The interview held at Company A demonstrated that many of these issues are recognised and encountered by practitioners operating in SIS. Informed consent and trust were not discussed in the interview while global approaches to ethics was raised in the interview in a manner not seen in the literature review.

Overall, this case study evaluates how ethical issues found within the SIS literature correlate with those identified, and tackled, in the business practice of CRM.

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