数字服务技术,服务机器人,人工智能,以及具有成本效益的卓越服务的战略途径

Jochen Wirtz, Johannes Hofmeister, Patricia Y. P. Chew, Xin (David) Ding
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引用次数: 4

摘要

最近的研究表明,客户满意度和生产力之间的权衡可以通过三种战略途径来缓解:(1)运营管理(OM)方法,(2)专注的服务工厂,(3)双重文化战略,这使得企业能够实现具有成本效益的卓越服务(CESE)。我们提出,这些战略也是数字服务技术、服务机器人和人工智能(AI)的开发、实施和使用的优秀推动者。首先,OM方法减少了服务交付中的流程变化,为利用技术实现流程自动化创造了机会。其次,集中的服务工厂策略使大量基本相同的服务交易能够最小化客户引起的可变性,从而简化服务自动化。第三,双重文化战略确保数字自动化以客户为中心,实现卓越服务。我们提出了一系列命题和研究问题,旨在促进数字服务技术和CESE两大文献流的交叉研究。
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Digital service technologies, service robots, AI, and the strategic pathways to cost-effective service excellence
ABSTRACT Recent research has shown that the trade-off between customer satisfaction and productivity can be mitigated through three strategic pathways: the (1) operations management (OM) approach, (2) focused service factory, and (3) dual culture strategy, which allow firms to achieve cost-effective service excellence (CESE). We advance that these strategies are also excellent enablers for the development, implementation, and use of digital service technologies, service robots, and artificial intelligence (AI). First, the OM approach reduces process variations in service delivery, creating opportunities for leveraging technology to automate processes. Second, the focused service factory strategy enables high volumes of largely identical service transactions with minimized customer-induced variability, easing service automation. Third, the dual culture strategy ensures that digital automation is firmly customer-centric and achieves service excellence. We advance a set of propositions and research questions aimed at stimulating research at the intersection of the two streams of literature on digital service technologies and CESE.
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