In the period of 2004 to 2014 there was a significant growth of employment in the logistics sector in Indonesia. This reflects a rapid rise in the need for logistics activities to support outsourcing. Because there is strong competition in the sector, logistics services should be able to deliver both cognitive and affective customer satisfaction. Studies in logistic services have been mainly focused on service gaps, an aspect related to cognitive satisfaction in customers. Many studies have been conducted to evaluate logistics service quality using SERVQUAL and the Kano model. However, these are insufficient in addressing all aspects of logistics provision. Hence, a deep understanding of customer affective need (known in Japanese as Kansei) is required, to provide competitive advantage by modeling more comprehensive customer experiences based on perceived logistics services. This paper proposes a combined model of Kansei Engineering, Kano, and quality function deployment (QFD), which it is hoped will generate more innovative ideas for improvements related to customer emotional satisfaction and customer delight. A case study in supporting logistics services has been chosen to validate the proposed model, and a survey through face-to-face questionnaires involving 157 customers was carried out. The model was then validated, and through the House of Quality (HoQ) concept, some innovative improvement ideas are proposed. They include the use of apps for order confirmation and cancellation, the integration of Google Maps into the ordering system, preorder booking, and a bilingual feature in the transaction menu. Thus, from a practical implication point of view, it is hoped that this study will provide guidelines to the managers of logistics services companies in capturing, measuring and analyzing customer emotional needs (Kansei), with respect to the service attributes which are highly significant to Kansei aspects.
-As one of the most rapidly growing service sectors in today's business, providing excellent quality in logistics services is a must. In services, recent research shows that affect/emotion (known as Kansei) and Kano's attractive performance are deemed to be sensitive in dealing with total satisfaction, rather than usability and functionality. However, the ideas for service improvement are often contradictory. Hence, this study proposes an integrated model of Kansei Engineering and Kano incorporating TRIZ (Teoriya Resheniya Izobretatelskikh Zadach) which contributes to the improvement of logistics services. A case study in IT-based logistics services has been conducted. The service attribute 'cleanliness of helmet for customer' has been regarded as the most critical, which dealt with Kansei professional, innovative, cheap, and precise. In addition, the modularity-based helmet cover and inner sponge has been proposed for TRIZ-based improvement.
Customer emotional satisfaction (known as Kansei) and retention is deemed to be vital for all service businesses including for the high-tech services such as Internet Service Providers (ISPs). Functionality and usability attributes such as network quality and connection speed are regarded as basic requirement. However, there has been little attention and academic research to evaluate the importance of perceived ISPs' service quality on customer emotional need and satisfaction (Kansei). Hence, more Kansei-based offerings are required as more service performance and delivery to obtain customer emotional satisfaction. Moreover, due to customer dynamics, more representative Kansei and robust solution are expected. This study discusses how Kansei-based mining design is proposed and enhanced by Taguchi methodology for robustness of improvement strategy. Both theoretical and practical implications are discussed.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.