The impact of virtual mirroring on customer satisfaction
Not on the map. Why?
Abstract (arXiv)
We investigate the impact of a novel method called "virtual mirroring" to promote employee self-reflection and impact customer satisfaction. The method is based on measuring communication patterns, through social network and semantic analysis, and mirroring them back to the individual. Our goal is to demonstrate that self-reflection can trigger a change in communication behaviors, which lead to increased customer satisfaction. We illustrate and test our approach analyzing e-mails of a large global services company by comparing changes in customer satisfaction associated with team leaders exposed to virtual mirroring (the experimental group). We find an increase in customer satisfaction in the experimental group and a decrease in the control group (team leaders not involved in the virtual mirroring process). With regard to the individual communication indicators, we find that customer satisfaction is higher when employees are more responsive, use a simpler language, are embedded in less centralized communication networks, and show more stable leadership patterns.
Key facts. Cited by 9 papers in the map (data through 7 Oct 2026). Builds on 5 of its 80 references that are in the map. First posted on arXiv 20 May 2021.
Builds on
5 of 80 references.
References · 5
- 2021Using social network analysis to prevent money launderingcited by 14
- 2015Evolution of Conversations in the Age of Email Overloadcited by 5
- 2014Measuring Team Creativity Through Longitudinal Social Signalscited by 4
- 2021Personality correlates of key roles in informal advice networkscited by 2
- 2013COINs change leaders - Lessons Learned from a Distributed Coursecited by 1
Built on by
Citing papers per year: 2021: 8; 2022: 1.
9 papers.
- 2021Measuring the impact of spammers on e-mail and Twitter networkscited by 5
- 2021Finding top performers through email patterns analysiscited by 2
- 2021Editorial introduction: The power of words and networkscited by 1
- 2021Look inside. Predicting stock prices by analysing an enterprise intranet social network and using word co-occurrence networkscited by 1
- 2021Big data and big values: When companies need to rethink themselvescited by 1
- 2021From words to connections: Word use similarity as an honest signal conducive to employees' digital communicationcited by 1
- 2022The language and social behavior of innovatorscited by 1
- 2021Put your money where your mouth is: Using deep learning to identify consumer tribes from word usagecited by 0
- 2021Enhancing operations management through smart sensors: measuring and improving well-being, interaction and performance of logistics workerscited by 0
- 2022The language and social behavior of innovators20 Sep 2022
- 2021Enhancing operations management through smart sensors: measuring and improving well-being, interaction and performance of logistics workers15 Dec 2021
- 2021From words to connections: Word use similarity as an honest signal conducive to employees' digital communication11 Nov 2021
- 2021Put your money where your mouth is: Using deep learning to identify consumer tribes from word usage27 May 2021
- 2021Finding top performers through email patterns analysis27 May 2021
- 2021Big data and big values: When companies need to rethink themselves25 May 2021
- 2021Look inside. Predicting stock prices by analysing an enterprise intranet social network and using word co-occurrence networks25 May 2021
- 2021Editorial introduction: The power of words and networks24 May 2021
- 2021Measuring the impact of spammers on e-mail and Twitter networks21 May 2021