• Journal of Convergence for Information Technology
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• v.10 no.12
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• pp.256-265
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• 2020

This study examines the effects of perceived service employee support on customer's negative silence, defensive silence and acquiescent silence, and the effects of such negative silence on relationship retention intention. Through this, we would like to discuss the negative effects of customer's negative silence and suggest strategies to reduce negative silence. This study employed questionnaire survey. The total number of questionnaires used in the final analysis was 220. A structural equation model was used for hypothesis analysis. As a result, the perceived service employee support has a significant negative effect on the defensive silence and acquiescent silence in the failure situation. In addition, acquiescent silence had a significant negative effect on relationship retention intentions and defensive silence had no significant effect on relationship retention intentions. Acquiescent silence had a higher negative effect on relationship maintenance intention than defensive silence, indicating that acquiescent silence was worse than defensive silence.

• Journal of Internet Computing and Services
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• v.22 no.2
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• pp.69-75
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• 2021

In a contact-free society, online services are becoming more important than classic offline services. At the same time, the role of a contact center, which executes customer relation management (CRM), is increasingly essential. For supporting the CRM tasks and their effectiveness, techniques of process automation need to be applied. Quality assurance (QA) is one of the time and resource consuming, and typical processes that are suitable for automation. In this paper, a method of automatic quality evaluation for voice based consultations is proposed. Firstly, the speech in consultations is transformed into a text by speech recognition. Then quantitative evaluation based on the QA metrics, including checking the elements in opening and closing mention, the existence of asking the mandatory information, the attitude of listening and speaking, is executed. 92.7% of the automated evaluations are the same to the result done by human experts. It was found that the non matching cases of the automated evaluations were mainly caused from the mistranslated Speech-to-Text (STT) result. With the confidence of STT result, this proposed method can be employed for enhancing the efficiency of QA process in contact centers.