Search Results - subject:"Kansei Engineering"

The development of Kansei-based work events scale

Nor Hafizah Ibrahim; Zafir Khan Mohamed Makhbul; Ayob, … - In: The South East Asian journal of management 17 (2023) 1, pp. 75-97

Persistent link: https://www.econbiz.de/10014261287

Customer perception on last-mile delivery services using Kansei engineering and conjoint analysis: A case study of Indonesian logistics providers

Restuputri, Dian Palupi; Fridawati, Ayun; Masudin, Ilyas - In: Logistics 6 (2022) 2, pp. 1-16

Background: This article identifies the preferences of the customer of logistics services in Indonesia using the Kansei … engineering and conjoint analysis methods. The Conjoint Analysis aims to establish utility scores that represent factors in …

Persistent link: https://www.econbiz.de/10015194780

Customer perception on last-mile delivery services using Kansei engineering and conjoint analysis : a case study of Indonesian logistics providers

Restuputri, Dian Palupi; Fridawati, Ayun; Masudin, Ilyas - In: Logistics 6 (2022) 2, pp. 1-16

Persistent link: https://www.econbiz.de/10013203047

The effect of logistic service quality on customer satisfaction and loyalty using kansei engineering during the COVID-19 pandemic

Restuputri, Dian Palupi; Indriani, Tri Ratna; Masudin, Ilyas - In: Cogent Business & Management 8 (2021) 1, pp. 1-35

This article identifies the influence of logistics service quality in Indonesia on customer satisfaction and loyalty during the COVID-19 pandemic and customer trust as a moderating variable. In this study, the service quality consists of three variables: the quality of staff service, quality of...

Persistent link: https://www.econbiz.de/10014001627

The effect of logistic service quality on customer satisfaction and loyalty using kansei engineering during the COVID-19 pandemic

Restuputri, Dian Palupi; Indriani, Tri Ratna; Masudin, Ilyas - In: Cogent business & management 8 (2021) 1, pp. 1-35

Persistent link: https://www.econbiz.de/10012661363

How can manufacturers make decisions on product appearance design : a research on optimal design based on customers' emotional satisfaction

Dou, Runliang; Li, Wei; Nan, Guofang; Wang, Xiaoqiu; … - In: Journal of management science and engineering 6 (2021) 2, pp. 177-196

With changing customer attitudes toward consumption and function homogenization, product appearance designs have an increasing influence on the purchase decision. Customer characteristics and emotional factors play an important role here. This study proposes a novel approach for modelling...

Persistent link: https://www.econbiz.de/10013206262

The effect of humanitarian logistics service quality to customer loyalty using Kansei engineering: Evidence from Indonesian logistics service providers

Masudin, Ilyas; Safitri, Nika Tampi; Restuputri, Dian Palupi - In: Cogent Business & Management 7 (2020) 1, pp. 1-30

technical service quality has a considerable impact on customer loyalty. The use of Kansei engineering for humanitarian …

Persistent link: https://www.econbiz.de/10012657259

The effect of humanitarian logistics service quality to customer loyalty using Kansei engineering : evidence from Indonesian logistics service providers

Masudin, Ilyas; Safitri, Nika Tampi; Restuputri, Dian Palupi - In: Cogent business & management 7 (2020) 1, pp. 1-30

technical service quality has a considerable impact on customer loyalty. The use of Kansei engineering for humanitarian …

Persistent link: https://www.econbiz.de/10012650009

Application of Kansei engineering and data mining in the Thai ceramic manufacturing

Kittidecha, Chaiwat; Yamada, Koichi - In: Journal of Industrial Engineering International 14 (2018) 4, pp. 757-766

product that must satisfy customers. This research is applied Kansei Engineering (KE) and Data Mining (DM) into the customer …

Persistent link: https://www.econbiz.de/10011995869

Application of Kansei engineering and data mining in the Thai ceramic manufacturing

Kittidecha, Chaiwat; Yamada, Koichi - In: Journal of industrial engineering international 14 (2018) 4, pp. 757-766

product that must satisfy customers. This research is applied Kansei Engineering (KE) and Data Mining (DM) into the customer …

Persistent link: https://www.econbiz.de/10011950186