Integrated Predictive Experience Management Framework (IPEMF) for Improving Customer Experience: In the Era of Digital Transformation

Q2 Computer Science
N. Kumbhojkar, Arun Balakrishna Menon
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引用次数: 8

Abstract

Enterprises are adopting digital transformation with an exponential rate to drive growth through new business models and the use of digital technologies. Digital transformation is a business imperative rather than technology imperative. Hence, customer experience during and post-transformation is key to the success of the digital transformation. The present paper proposes an Integrated Predictive Experience Management Framework (IPEMF) for improving customer experience. IPEMF is- a structured and methodological business processes centric connected experience framework with the customer at the centre. The uniqueness of IPEMF is that it seamlessly integrates business processes, technology, organisation, and customer behaviour. It is agnostic of the business vertical or the geography. The framework puts forth an approach to predict the impact on customer experience proactively and provides a feedback loop to help continuously improve the experience. IPEMF helps enterprises build intuitive, trusted relationships and hyper-personalised customer experience through the customer journey.
改善客户体验的集成预测体验管理框架(IPEMF):在数字化转型时代
企业正在以指数级的速度进行数字化转型,通过新的商业模式和数字技术的使用来推动增长。数字化转型是商业上的当务之急,而不是技术上的当务之急。因此,转型期间和转型后的客户体验是数字化转型成功的关键。本文提出了一个集成预测体验管理框架(IPEMF)来改善客户体验。IPEMF是以客户为中心,以结构化和方法论的业务流程为中心的连接体验框架。IPEMF的独特之处在于它无缝地集成了业务流程、技术、组织和客户行为。它与业务垂直或地理位置无关。该框架提出了一种方法来预测对客户体验的影响,并提供了一个反馈循环,以帮助持续改善体验。ippemf帮助企业通过客户旅程建立直观、可信的关系和超个性化的客户体验。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
International Journal of Cloud Applications and Computing
International Journal of Cloud Applications and Computing COMPUTER SCIENCE, SOFTWARE ENGINEERING-
CiteScore
6.40
自引率
0.00%
发文量
58
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