Research on Customer Preference of Mythical Characters in Animation Based on Fusion ACSI Model

2021 ◽  
Vol 39 (5) ◽  
pp. 401-412
Author(s):  
Ye Chen ◽  
Dong Min Cho
Keyword(s):  
Author(s):  
Ritesh Dwivedi

Customers of this era have turned out to be more worried about their wellbeing and furthermore slanted to keep up personal satisfaction which is reflected through the special utilization of those items that ensures the great condition of their wellbeing and additionally give most extreme fulfilment. In quest for a healthy way of life Indians have turned out to be more disposed to Ayurvedic or Herbal treatment as an option for common cure. This specific inclination has been in charge of exceptional prominence of Baba Ramdev's Patanjali Ayurvedic items. In today's huge market with changing client needs, Baba Ramdev has built up a special mix of innovation with Ayurveda, affordable pricing, easy accessibility under the brand Patanjali to pull the market. The Ayurveda theory and the key to healthy lifestyle has attracted many customers and changed their perspective about their lifestyle and product usage. Purpose of the study is to evaluate the preference of Patanjali over other leading products while understanding the its marketing mix. The consumer belief in natural and herbal products has become stronger day by day and created huge change in customer preference over other brands.


Author(s):  
Kosuke Ishii ◽  
Cheryl Juengel ◽  
C. Fritz Eubanks

Abstract This study develops a method to capture the broadest customer preference in a product line while minimizing the life-cycle cost of providing variety. The paper begins with an overview of product variety and its importance in overhead costs: supply chain, equipment and tooling, service, and recycling. After defining the product structure graph as a representation of variety, the paper introduces an approximate measure for the customer importance and life-cycle cost of product variety The cost measure utilizes the concept of late point identification which urges standardization early in the manufacturing process and differentiation at the end of the process. The variety importance-cost map allows engineers to identify cost drivers in the design of the product or the manufacturing system and seek improvements. The refrigerator door example illustrates the concept. On-going work seeks to validate and enhance the method with several companies from different industries.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Hanudin Amin

Purpose Using the maqasid-based consumer preference index (MCPi), this study aims to investigate customer preference for Islamic home financing. Design/methodology/approach The current study, based on valid 1,034 usable questionnaires and the MCPi, evaluates consumer choice for the supplied Islamic home finance products by 16 Islamic banks in Malaysia. Findings According to the findings, all banks have a moderate value of MCPi. Bank Islam Malaysia Berhad is at the top of the list, followed by Maybank Islamic, Commerce International Merchant Bankers Islamic and Malaysia Building Society Berhad. Research limitations/implications The MCPi is used in this study to test a new technique to measuring consumer preference. The contributions are confined to these particular variables – Educating Customer, Establishing Justice, Promoting Welfare and Fulfiling Islamic Debt Policy. The research also has limitations in terms of the facility’s general setting. Future research may shed light on these issues from new angles. Practical implications This research offers banks a new way to manage their products based on maqasid al-Sharīʿah. Originality/value In the context of Malaysia, this study introduces the MCPi, a new measure of consumer preference for home financing.


2020 ◽  
Vol 17 (3) ◽  
pp. 983-1006
Author(s):  
M. Kopecky ◽  
P. Vojtas

Our customer preference model is based on aggregation of partly linear relaxations of value filters often used in e-commerce applications. Relaxation is motivated by the Analytic Hierarchy Processing method and combining fuzzy information in web accessible databases. In low dimensions our method is well suited also for data visualization. The process of translating models (user behavior) to programs (learned recommendation) is formalized by Challenge-Response Framework ChRF. ChRF resembles remote process call and reduction in combinatorial search problems. In our case, the model is automatically translated to a program using spatial database features. This enables us to define new metrics with visual motivation. We extend the conference paper with inductive ChRF, new representation of user and an additional method and metric. We provide experiments with synthetic data (items) and users.


Author(s):  
Yulius Lie ◽  
Robertus Nugroho Perwiro Atmojo ◽  
Hery Haijono Muljo ◽  
Shinta Purnamasari ◽  
Bens Pardamean

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