PREFERENSI KONSUMEN TELUR PUYUH DI KOTA KENDARI

2017 ◽  
Vol 1 (1) ◽  
Author(s):  
Sani Wanti ◽  
Sitti Aida Adha Taridala ◽  
Takdir Saili ◽  
Budiyanto Budiyanto
Keyword(s):  
Performance Analysis ◽  
Conjoint Analysis ◽  
Consumer Choice ◽  
Customer Preference ◽  
Self Interest ◽  
And Behavior ◽  
Attributes Data

The preference of quail egg’s consumer could be determined by measuring the consumer choice.  This preference could illustrate the attribute of quail egg that could be produced by producer and accepted by consumer.  The aims of this study were to analyze the attitude and behavior of the customer in case of buying quail egg, analyze the level of self interest and satisfaction of the customer to the quail egg attribute, and analyze the customer preference on a variety of the quail egg attributes. Data collected in Kendari, South East Sulawesi and were analyzed using Fishbein Multiattribute Attitude analysis, IPA analysis (Importance Performance Analysis), and Conjoint Analysis.  The result of Fishbein Multiattribute Attitude Analysis indicated that the 61,91% consumers were fond of quail egg. In average, the acceptabiity of the customer to the quail egg was ‘quite good’ and the behavior of the customer was consistent but they to re-buy the quail egg. While the result of IPA analysis (Importance Performance Analysis) showed that the most important and the most satisfine attribute of quail egg for customer was colourful attribute. The result of Conjoint Analysis revealed that the preference of the quail egg customer in Kendari City was the quail egg with low price, seasonal availability, less than 10 gram in weight, colourful and unpacking. Keywords: quail egg; Fishbein; IPA; Conjoint analysis

scholarly journals Maqasid-based consumer preference index for Islamic home financing

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Hanudin Amin
Keyword(s):  
Consumer Choice ◽  
General Setting ◽  
Consumer Preference ◽  
Future Research ◽  
Building Society ◽  
Content Type ◽  
Customer Preference ◽  
Preference Index ◽  
A New Technique ◽  
Debt Policy

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.

scholarly journals Limitations of modern microeconomic theory of consumer choice: Sociological perspective

Sociologija ◽  
2008 ◽  
Vol 50 (3) ◽  
pp. 313-326 ◽  
Author(s):  
Ognjen Radonjic
Keyword(s):  
Theoretical Model ◽  
Consumer Choice ◽  
Microeconomic Theory ◽  
Market Demand ◽  
Sociological Perspective ◽  
Neoclassical Theory ◽  
Demand Functions ◽  
Sociological Factors ◽  
And Behavior ◽  
Better Than

Neoclassical theory of consumer choice needs to be reformed. Assumption that consumer choice is not influenced by the choice of others is in collision with reality. New and better theory of consumer choice is unimaginable without incorporation of intersubjective factors into the model of derivation of individual and aggregate (market) demand functions. Goal of this study is to underline widely neglected sociological factors that have significant influence on motivation and behavior of consumers. Inclusion of these factors into modern microeconomic theory is of essential importance if we are about to construct theoretical model aimed to describe reality in which we daily exist better than its predecessor did.

scholarly journals Avoiding the Privacy Paradox Using Preference-Based Segmentation: A Conjoint Analysis Approach

Electronics ◽  
2020 ◽  
Vol 9 (9) ◽  
pp. 1382
Author(s):  
Marija Kuzmanovic ◽  
Gordana Savic
Keyword(s):  
Conjoint Analysis ◽  
Online Social Networks ◽  
Online Survey ◽  
Personal Information ◽  
Personal Privacy ◽  
Privacy Concerns ◽  
Four Dimensions ◽  
Segmentation Approach ◽  
Privacy Paradox ◽  
And Behavior

Personal privacy on online social networks (OSN) is becoming increasingly important. The collection and misuse of personal information can affect people’s behavior and can have a broader impact on civil society. The aim of this paper is to explore the privacy paradox phenomenon on OSNs that is reflected in the gap between OSN users’ privacy concerns and behavior and to introduce a new segmentation framework based on preference data from conjoint analysis. For the purpose of the study, an online survey on four dimensions of OSNs has been conducted. Conjoint analysis has been employed on collected data to reveal users’ preferences, followed by two-step cluster analysis for the preference-based segmentation. The characteristics of the resulting clusters were compared with self-reported behavior and privacy concerns, as well as the results of the Westin Privacy Segmentation approach. The results suggest that conjoint analysis can improve users’ segmentation and consequently provide better solutions for avoiding the gap between users’ concerns, attitudes, and behavior.

Surprising Robustness of the Self-Explicated Approach to Customer Preference Structure Measurement

1997 ◽  
Vol 34 (2) ◽  
pp. 286-291 ◽  
Author(s):  
V. Srinivasan ◽  
Chan Su Park
Keyword(s):  
Utility Function ◽  
Conjoint Analysis ◽  
Predictive Validity ◽  
The Self ◽  
Preference Structure ◽  
Combined Approach ◽  
Customer Preference ◽  
Full Profile ◽  
Structure Measurement

The authors introduce customized conjoint analysis, which combines self-explicated preference structure measurement with full-profile conjoint analysis. The more important attributes for each respondent are identified first using the self-explicated approach. Full-profile conjoint analysis customized to the respondent's most important attributes then is administered. The conjoint utility function on the limited set of attributes then is combined with the self-explicated utility function on the full set of attributes. Surprisingly, the authors find that the self-explicated approach by itself yields a slightly (but not statistically significantly) higher predictive validity than does the combined approach.

An Approach to Modeling Customer Preference Uncertainty by Applying Bootstrap to Choice-Based Conjoint Analysis Data

2010 ◽  
Author(s):  
Swithin S. Razu ◽  
Shun Takai
Keyword(s):  
Product Development ◽  
Conjoint Analysis ◽  
New Product Development ◽  
Market Share ◽  
New Product ◽  
Analysis Data ◽  
Product Development Process ◽  
Product Concept ◽  
Customer Preference ◽  
Market Shares

Analysis of customer preferences is among the most important tasks in a new product development. How customers come to appreciate and decide to purchase a new product affects the products market share and therefore its success or failure. Unfortunately, when designers select a product concept early in the product development process, customer preference response to the new product is unknown. Conjoint analysis is a statistical marketing tool that has been used to estimate market shares of new product concepts by analyzing data on the product ratings, rankings or concept choices of customers. This paper proposes an alternative to traditional conjoint analysis methods that provide point estimates of market shares. It proposes two approaches to model market share uncertainty; bootstrap and binomial inference applied to choice-based conjoint analysis data. The proposed approaches are demonstrated and compared using an illustrative example.

scholarly journals Performance Analysis for Uniform and Binomial Distribution on Contention Window using DSRC and Wi-Fi Direct Standard

2015 ◽  
Vol 5 (6) ◽  
pp. 1452
Author(s):  
Nurain Izzati Shuhaimi ◽  
Heriansyah Heriansyah ◽  
Tutun Juhana ◽  
Adit Kurniawan
Keyword(s):  
Performance Analysis ◽  
Binomial Distribution ◽  
Wireless Networking ◽  
The Other ◽  
Contention Window ◽  
Collision Probability ◽  
Average Throughput ◽  
Potential Competitor ◽  
And Behavior ◽  
Better Than

In this paper, we present a mathematical analysis on the performance and behavior of uniformly distributed and non-uniformly distributed backoff timer based on binomial algorithm by using two standards which is the conventional DSRC and the latest Wi-Fi Direct. DSRC is a well-known technology being considered as the most promising wireless standard in VANET. On the other hand, as the latest wireless networking standard, the potential of Wi-Fi Direct technology should be concerned. We evaluates these standards using uniform and binomial distribution for contention window under mathematical modelling in order to analyze the average throughput and collision probability performance. The results show that binomial distribution in Wi-Fi Direct standard is 7.05% and 97.13% better than uniform distribution, in terms of average throughput and collision probability, respectively. Thus we can defer that Wi-Fi Direct is feasible to be used as an alternative standard since it has been considered as potential competitor of DSRC in VANET.

scholarly journals CLUSTER AND CONJOINT ANALYSIS FOR DETERMINING ONLINE SHOP SHOPEE CUSTOMERS PREFERENCE BASED ON E-SERVICE QUALITY

2021 ◽  
Vol 15 (2) ◽  
pp. 361-372
Author(s):  
Dimas Nurwinata Rinaldi ◽  
Fahriza Nurul Azizah ◽  
Candra Galang Gemilang Putra
Keyword(s):  
Cluster Analysis ◽  
Service Quality ◽  
Conjoint Analysis ◽  
Business Strategy ◽  
Quality Attributes ◽  
Sociodemographic Characteristics ◽  
Customer Preference ◽  
Gender Education ◽  
Education Profession ◽  
Cluster 2

The use of e-commerce as a means of shopping is a trend that is very much in demand by many Indonesians. This makes e-service quality very important in a transaction. Customer preference is one of the main factors in shaping a business strategy. This research discusses the use of cluster analysis to segment Shopee's e-commerce customers based on sociodemographic characteristics with k-means algorithm and conjoint analysis to determine which e-service quality attributes are most important to each cluster. The sociodemographic characteristics to be analyzed are gender, education, profession, e-commerce visit, income, and last purchase from the e-commerce. The result from k-means algorithm is there are 2 groupings of customers based on their sociodemographic characteristics, cluster 1 with the majority of women members with frequent visits, while for cluster 2 with the majority of male members with frequent visits. With the result of cluster analysis, conjoint analysis help this research to find which e-service quality attributes are most important. The results are members in cluster 1 prioritize Full payment payment methods when shopping online, while members in cluster 2 prioritize star seller types when shopping online. The aspect that doesn't matter most when shopping online is fulfillment in cluster 1 and security in cluster 2.

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