The application framework of Kansei Engineering to enhance Customer Relationship Management in services

Main Author: Hartono, Markus
Format: Proceeding PeerReviewed application/pdf
Terbitan: , 2012
Subjects:
Online Access: http://repository.ubaya.ac.id/3742/7/Hartono_The%20%20Application_Abstract_2012.pdf
http://repository.ubaya.ac.id/3742/1/Paper%201_Markus%20Hartono.pdf
http://repository.ubaya.ac.id/3742/
Daftar Isi:
  • In order to fit what a customer needs and wants, a product or a service should be qualified. By incorporating Ergonomics/Human Factors and affect, quality of products and services should promote happiness and health to the users. Improved quality and long-lasting products/services make customers happy (Nagamachi & Lokman, 2011). According to Tribus (1990), quality is defined as a condition when customers have a love affair and emotional bondage with particular products and services. It implies that the main concern of qualified products and services is customer emotional experience. This study aims to explore the customer emotional needs (Kansei in Japanese) experienced and encountered in services. As emphasized in Customer Relationship Management (CRM), understanding the customer emotional needs is one succesful key for CRM implementation. Kansei Engineering (KE) methodology that has been widely used for modeling the emotional needs in product design is proposed to support the CRM improvement. Hence, this study has two objectives. The first is to develop an integrative application framework of the contribution of KE to CRM, while the second is to provide an illustrative example of how to apply KE-CRM into service industry. This study is expected to contribute to the theoretical academic literatures on Customer Relationship Management (CRM), marketing management, Ergonomics/Human Factors and Kansei by proposing an application framework and methodology of integrated KE-CRM. In addition, practical contributions will be presented by providing a guidance to service managers in collecting and capturing the emotional needs of customers, using the rich-channel of information for collecting information, and investigating what service attributes that are significantly sensitive to the customer emotions. It is, then, to be used as a prioritization tool for continuous improvement or maintenance on service attributes.