Logistics service design for cross-border E-commerce using Kansei engineering with text-mining-based online content analysis
暂无分享,去创建一个
[1] Mitsuo Nagamachi,et al. A Successful Statistical Procedure on Kansei Engineering Products , 2008 .
[2] Mitsuo Nagamachi,et al. Concepts, methods and tools in Kansei engineering , 2004 .
[3] Chih-Hsuan Wang,et al. Integrating Kansei engineering with conjoint analysis to fulfil market segmentation and product customisation for digital cameras , 2015 .
[4] Pei Pei Tan,et al. Gaining customer knowledge in low cost airlines through text mining , 2014, Ind. Manag. Data Syst..
[5] B. Gu,et al. The impact of online user reviews on hotel room sales , 2009 .
[6] Mitsuo Nagamachi,et al. Kansei engineering as a powerful consumer-oriented technology for product development. , 2002, Applied ergonomics.
[7] R. Mack,et al. An Alternative Approach in Service Quality: An e-Banking Case Study , 2008 .
[8] D. Lyth,et al. A Synthesised Service Quality Model with Managerial Implications , 1990 .
[9] Mu-Chen Chen,et al. Applying Kansei engineering to design logistics services - A case of home delivery service , 2015 .
[10] Michel Tenenhaus,et al. PLS methodology to study relationships between hedonic judgements and product characteristics , 2005 .
[11] G. Stephen Taylor,et al. Modelling choice in logistics: a managerial guide and application , 2012 .
[12] Mitsuo Nagamachi,et al. Kansei Engineering: A new ergonomic consumer-oriented technology for product development , 1995 .
[13] Ching-Chow Yang,et al. The refined Kano's model and its application , 2005 .
[14] Uriel Weinreich,et al. Travels through semantic space , 1958 .
[15] Liya Wang,et al. Feature fatigue analysis in product development , 2015 .
[16] María Fuentes Blasco,et al. Logistics service quality: a new way to loyalty , 2008, Ind. Manag. Data Syst..
[17] Álvaro Page,et al. Kano’s model in Kansei Engineering to evaluate subjective real estate consumer preferences , 2011 .
[18] Kun-Chieh Wang,et al. A hybrid Kansei engineering design expert system based on grey system theory and support vector regression , 2011, Expert Syst. Appl..
[19] T. Dijkstra. Latent Variables and Indices: Herman Wold’s Basic Design and Partial Least Squares , 2010 .
[20] B. Manly. Multivariate Statistical Methods : A Primer , 1986 .
[21] Chih-Chieh Yang. A classification-based Kansei engineering system for modeling consumers' affective responses and analyzing product form features , 2011, Expert Syst. Appl..
[22] Mu-Chen Chen,et al. Applying a Kansei engineering-based logistics service design approach to developing international express services , 2015 .
[23] Markus Hartono,et al. How the Kano model contributes to Kansei engineering in services , 2011, Ergonomics.
[24] Mitsuo Nagamachi,et al. Rule-based inference model for the Kansei Engineering System , 1999 .
[25] Wei Wang,et al. Product weakness finder: an opinion-aware system through sentiment analysis , 2014, Ind. Manag. Data Syst..
[26] Li Pheng Khoo,et al. A product configuration analysis method for emotional design using a personal construct theory , 2014 .
[27] Pekka Korvenmaa,et al. A preliminary study of perceptual matching for the evaluation of beverage bottle design , 2012 .
[28] Anitawati Mohd Lokman,et al. Kansei affinity cluster for affective product design , 2010, 2010 International Conference on User Science and Engineering (i-USEr).
[29] Victoria L. Mitchell,et al. Cooperative Planning, Uncertainty, and Managerial Control in Concurrent Design , 2007, Manag. Sci..
[30] Alex Pentland,et al. Big Data and Management , 2014 .
[31] A. Sermet Anagun,et al. Determination of optimal product styles by ordinal logistic regression versus conjoint analysis for kitchen faucets , 2009 .
[32] Apostolos Giovanis,et al. The 2 nd International Conference on Integrated Information Suppliers Logistics Service Quality Performance and its Effect on Retailers ’ Behavioral Intentions , 2013 .
[33] Thomas O. Jones,et al. Why Satisfied Customers Defect , 1996 .
[34] Meng-Dar Shieh,et al. Toward kansei engineering model in service design: Interaction for experience in virtual learning environment , 2009 .
[35] H. Abdi. Partial least squares regression and projection on latent structure regression (PLS Regression) , 2010 .
[36] Jens J. Dahlgaard,et al. Kansei/affective engineering design: A methodology for profound affection and attractive quality creation , 2008 .
[37] Meng-Dar Shieh,et al. Developing a design support system for the exterior form of running shoes using partial least squares and neural networks , 2013, Comput. Ind. Eng..
[38] E. Hartmann,et al. Supply risk management: model development and empirical analysis , 2012 .
[39] Antonio Lanzotti,et al. Kansei engineering approach for total quality design and continuous innovation , 2008 .
[40] Z. Schwartz,et al. What can big data and text analytics tell us about hotel guest experience and satisfaction , 2015 .
[41] Chih-Chieh Yang,et al. Constructing a hybrid Kansei engineering system based on multiple affective responses: Application to product form design , 2011, Comput. Ind. Eng..