Analysis Of Consumer Preferences Research Articles

An Analysis of Consumer Preference for Rice Attributes and Forecast of Market Share

Recently, as imported rice is distributed in the domestic rice market, consumer preference for imported rice is increasing. Conjoint analysis is used to identify consumer preferences for attributes of marketed rice. A ranked logit model is used to analyze consumer characteristics associated with the consumption of rice. Consumers were most likely to consider the price (40%), followed by rice variety (21%), and origin of rice (18%). While quality (18%) and taste (14%), including organic rice (7%) were least likely to be considered. Cluster analysis shows that some consumers prefer domestically produced rice to imported rice because of safety and reliability despite it’s higher price while other consumers prefer to imported rice due to its lower price. Finally, the scenario analysis fulfilled to forecast a contingent rice market share between domestically produced rice and imported rice. Imported rice with a tariff rate of 513% does not have a price competitive in Korean rice market but imported rice without tariff could have competitive for Korean consumers.

Analyses of phylogenetics, starch granule morphology and consumer preference of Canna indica L. grown in Sri Lanka

Canna indica is a tuber crop which has many medicinal values. In Sri Lanka, C. indica tubers are consumed in rural areas and mainly available in street-markets of Nuwara-Eliya and Kandy Districts. In the present study, we assessed the phylogenetics of C. indica, starch granule morphology and consumer preference of C. indica tubers in comparison to the popular tuber crops. The phylogenetic analysis was conducted based on the sequence polymorphism at rbcL, atpB gene, trnL-trnF and trnH-psbA marker-loci with respect to the ornamental Canna spp. in Sri Lanka and the previously published sequences of Canna spp. The starch granules were isolated and observed under optical and scanning electron microscopes. The diameter and the surface area of the starch granules were measured under the optical microscope and subjected to analysis of variance. As C. indica tubers are consumed as boiled tuber pieces in Sri Lanka, the consumer preference analysis was conducted using the boiled tuber pieces C. indica, Xanthosoma sagittifolium, Manihot esculenta, Solanum tuberosum, and Ipomoea batatas. The phylogenetic tree based on rbcL marker revealed that C. indica in Sri Lanka is slightly divergent from the other Canna spp. Only the polymorphism of the atpB gene can be used to differentiate C. indica from the ornamental Canna sp. in Sri Lanka. The morphological analysis of starch granules revealed that C. indica has the biggest scallop-seashell shaped starch granules compared to other tuber species. The boiled C. indica tubers were accepted better than that of X. sagittifolium, rated equally to the tubers of S. tuberosum and M. esculenta, and rated less than I. batatas. The hardy and fibrous nature of C. indica tubers must be the major limiting factors for achieving the highest consumer preference highlighting the need of breeding for better texture in tubers

Consumer Demand Analysis while Choosing Processed Cheeses on the Market of the Oryol City

The article concerns the up-to-date issues of consumer demand analysis when choosing processed cheeses using sociological and statistical methods of data processing. The study objectives were: to analyze the balance between the expenditures level and the expenditures share of the family budget on food; to determine consumer preferences for types of processed cheeses, to study its price and quality, purchases frequency, and manufacturer’s choice; to identify the consumers attitude to innovations aimed at increasing the nutritional value of processed cheeses. The developed model for measuring the latent variable in the analysis of consumer preferences for processed cheeses formed the basis of the survey questionnaire. The authors conducted the sample survey in four administrative districts of Oryol. They used a questionnaire method to survey a part of the population, selected equally in the administrative districts. The analysis reveals the following data: more than 80.0 % of respondents regularly buy processed cheeses; more than 20.0 % rarely buy cheeses. When choosing cheeses, 50.0 % of respondents are subject to the price; about 40.0 % prefer the quality of cheeses, 12.0 % of this group are low-income respondents; 13.5 % of respondents said that they have purchased low-quality processed cheeses. According to the survey of the consumer demand level for processed cheeses with a probability of 0.997, the share of the Oryol population that may be interested in buying processed cheeses of high nutritional value with vegetable additives ranges from 80.2 to 92.8%, and the share of the population that regularly buys processed cheeses is from 75.8 to 88.3 %.

Plastic packaging goes sustainable: An analysis of consumer preferences for plastic water bottles

The market of bottled water is projected to become the largest beverage category by volume worldwide. Consumption data are already impressive in many countries, with Italy leading the path in the European Union. Such market expansion will come with environmental costs, due to increasing plastics production and increasing bottle leakage in the environment. To tackle the problem consumer purchasing decision can make the difference. Using a hypothetical Discrete Choice Experiment this study explores consumer preferences and willingness to pay for plastic water bottles made of conventional plastic polymer and of more sustainable plastic alternatives. Additionally, by comparing two experimental conditions the study investigates whether information on plastic-related sustainability might affect consumer purchasing decisions. The results provide insights that could be relevant from a market and policy perspective. They indicate that Italian consumers prefer Bio-bottles water bottles with respect to common PET, being willing to pay more for these alternatives. Furthermore, recycled materials are dispreferred compared to virgin plastics and information provision seems to help consumers discriminating across different plastic types although it is not effective in increasing willingness to pay.

Analysis of of Consumer Preferences on Aceh Songket Product Using Conjoint Analysis (Case of Study: Banda Aceh City and Aceh Besar District)

Indonesia as the country rich in cultural heritage, has a variety of characteristics including woven fabric. Songket fabric is one form of woven fabric that is owned by almost every region. Aceh is one of the best producing areas for songket because of its quality. However, the limitations of the songket design made songket fabric not develop as the expectation. Therefore, the innovation is needed based on the consumer preferences by combining songket with other products. This research aims to identify the consumer preferences toward the product. The method that was used to analyze consumer preferences was conjoint analysis. The results showed that there were five attributes that influenced consumers in choosing songket products based on the highest level of importance for each attributes which were basic color at 35,381%, type of motive at 26,650%, type of product at 16,195%, materials at 11,718% and motive color at 10,057% while the most preferred combination product based on the highest utility level results from the level of each attributes were clothing product at 0,089, with black as basic color at 0,110, gold color as color motive at 0,012, using polyester and embroidery as materials at 0,059 and pinto aceh as a motive 0,089.

A two-phased SEM-neural network approach for consumer preference analysis

A fundamental task in the design of consumer products is consumer preference analysis. The primary focus of this task is establishing a mapping relationship between product parameters/attributes and consumer preferences. The key to connect the consumer space and the design space are user perceptions of the product. Among the many existing methods, the Structural Equation Model (SEM) is one of the most used methods because it explains the causal relationship between the input and the output variables explicitly. However, the relationship obtained from the conventional SEM is linear, which is usually not the case in practice. Fortunately, the Artificial Neural Network (ANN) provides a new perspective for building nonlinear models because of its nonlinear nature. Therefore, a two-phased SEM-NN approach for consumer preference analysis is introduced for identifying and mapping how product attributes affecting the fulfillment of user perceptions and ultimately their preferences. In this model, the consumer preference analysis is conducted in two phases: influence path construction, and path coefficient revision. The proposed method can reserve the original SEM topology that reflects the causal relationship between variables while using the training algorithm of ANN to obtain more accurate path coefficients. This model could help the designers to identify and map how product attributes affecting the consumer preferences, and to better understand the factors that affect user perceptions and the inner relationships between them. To demonstrate effectiveness of the model, a case study of smartphone is presented. It is shown that the SEM-NN model can make full use of the causal analysis of SEM and the nonlinear nature of ANN and ultimately provides more reliable results of consumer preference analysis.

An ordinal regression approach for analyzing consumer preferences in the art market

From its origin at the Renaissance, the art market is part of the global economy. Arts and cultural production add significant real values on the Gross Domestic Product (GDP) of several countries and a strong symbolic contribution in prestige for owners, either private collectors or cities and countries. The significant price fluctuations that may be observed in the market of artistic goods can be explained not only by the uniqueness of works of art and the economic conditions, but also by the changing preferences of buyers. The main aim of this paper is to develop an ordinal regression analysis model for studying the preferences of artistic goods buyers. The applied approach assumes that the price of a work of art depends on a set of criteria aiming to infer additive value functions that aggregate these criteria in such a way that these functions are optimally consistent with a given price. The presented study uses a large set of auction data from the Art Deco furniture market and considers several different criteria that may influence buyers’ preferences. These criteria are related to the physical or intangible characteristics of artistic goods. The results are mainly focused on analyzing buyer's preferences (e.g., contribution of several factors to the price of artistic goods), while the ordinal regression model has been applied in different time periods in order to study how preferences evolve over time. Finally, stability analysis has been performed, with the aim of evaluating the robustness of the results.

Is There a Promising Market for the A2 Milk? Analysis of Italian Consumer Preferences

Milk consumption has been on the decline for decades. Part of the cause for this is due to changes in consumer behavior and interest in healthy eating. The aim of this study was to estimate the premium price that consumers are willing to pay for A2 milk. A2 milk is a newcomer type of product containing only A2 beta-casein that is spreading in many countries of the world as a functional food. In addition, it is produced by traditional breeds of cattle that are adapted to the marginal areas and could be a virtuous model of the sustainable management system to which the consumer lately seems to turn in an increasingly conscious way. To accomplish this aim, contingent valuation has been used, which permits using a survey and a direct estimation of the premium price that consumers are willing to pay (WTP). The question format used is a dichotomous choice valuation based on a double-bound model. Statistical analysis was carried out using descriptive statistical analysis. The empirical results reveal that consumers are willing to pay a premium for A2 milk. In addition, individuals interested in product quality and already buying functional products are attracted to this type of product.

ANALISIS PREFERENSI DAN PENGAMBILAN KEPUTUSAN KONSUMEN DALAM PEMBELIAN PRODUK OLAHAN SEAFOOD (STUDI KASUS DI KOTA BANDUNG PROVINSI JAWA BARAT)

Bandung City is one of the regions in West Java Province that has culinary tourism potential, one of which is processed seafood culinary products. Seafood is one source of animal protein that is widely consumed by the wider community. Processed seafood products have many variations of flavors with prices that are relatively affordable by consumers. This research aims to analyze consumer preferences and decision making in purchasing processed seafood products. The method used in this research is survey. Conducting research in March - July 2019 in the city of Bandung. Primary and secondary data used. Primary data collection techniques using purposive sampling while secondary data obtained from the Central Statistics Agency Bandung City Office. To analyze consumer preferences used attitude measurement analysis as measured by a Likert Scale. Multiple linear regression analysis is used to analyze which attributes are most considered in the selection of processed seafood products. Based on the results of research preferences and consumer decision making in the purchase of processed seafood products are the taste of processed seafood products, the nutritional content of processed seafood products, the location and facilities of processed seafood products and the prices of processed seafood products.

Analysis of Consumer Preferences as an Instrument of Marketing of a Regional Bank

Analysis of Consumer Preferences as an Instrument of Marketing of a Regional Bank

Analysis of Consumer Preference for Cassava Products in Akoko South West Local Government Area of Ondo State, Nigeria

The study analysed consumer preference for cassava products in Akoko South local Government area of Ondo state, Nigeria. Data were collected from one hundred and ten (110) respondents with the aid of a structured questionnaire. Descriptive statistics and multiple regressions together with correlation Test were used to analyse the study data. The result revealed that the mean age of the household head was found to be 49.5 years and have a mean income of ₦26,800. The result revealed that garri is the major cassava product consumed. The result of the regression revealed that household size and income are the major factor that enhance the consumption of cassava products in the study area. The results of the Pearson Correlation showed that there is no significant relationship between income and the cassava products consumed. The major constraints faced were price of the products, taste, and household size. This research recommends that the Government, Ministries of Agriculture should provide improved technologies for production, processing and adding value to the cassava products. Scientists and bioengineers are encouraged to develop cassava varieties with less cyanide content and healthier for consumption by the old. Extension personnel should provide extensive services for actors of cassava value chain.

Analysis of consumer preferences when choosing wine

Analysis of consumer preferences when choosing wine

Развитие маркетинговых коммуникаций и анализ потребительских предпочтений на рынке индивидуального жилья города Новосибирска

Предмет исследования - потребительские предпочтения потребителей квартир, коттеджей и таунхаусов на региональном рынке г. Новосибирска. Цель исследования - определение потребительских предпочтений на рынке индивидуального жилья с целью формирования комплекса маркетинговых коммуникаций для продвижения жилых объектов индивидуального жилья. Современные рыночные тенденции на рынке индивидуального жилья заставляют строительные организации пересматривать свою коммуникационную политику в соответствии с потребительскими предпочтениями клиентов. Для грамотно выстроенной коммерческой деятельности строительной организации необходимо знать, какие жилые объекты пользуются спросом, какие не удовлетворяют потребителей жилья и причины этого, а также какие аналогичные жилые объекты способны удовлетворить потребности населения. The subject of the study is consumer preferences of consumers of apartments, cottages and townhouses in the regional market of Novosibirsk. The aim of the study is to determine consumer preferences in the individual housing market in order to form a set of marketing communications for the promotion of residential housing. Current market trends in the individual housing market force construction organizations to revise their communication policies in accordance with customer consumer preferences. For a well-established commercial activity of a construction organization, it is necessary to know which residential facilities are in demand, which do not satisfy the consumers of housing and the reasons for this, as well as what similar residential facilities are able to meet the needs of the population.

Customer Preferences towards Premium Category Super Food Products in Modern Trade Outlets

The super-food competition in Indian consumer industry is very demanding. Indian consumers have shown growing interest in nutritious and quality food items with high nourishing value, environmental sustainability and food safety. A person with a positive attitude towards the food product of this type is more likely to make a purchase; this makes a marketer's analysis of consumer preference highly important. The primary purpose of this analysis was to examine consumer expectations for quality and safe super food items. The target demographic of this research includes consumers in Chennai region. 173 respondents were chosen using the convenience sampling method. The results of the research study have shown that factors such as ethnicity, monthly income and family status, level of intake, brand knowledge and health issues are linked to customer demand for super-food items. The Structured Equation Modeling methodology was used to define determinants that may describe consumers' propensity for purchasing these groups of food stuffs. Consumers choose food products of this type due to safety considerations, quality issues and environmental concerns, as well as to qualities such as nutritional benefit, taste satisfaction, freshness and attractiveness of organic food items that matter a lot to consumers. This work may be used into further study into the application of various marketing campaigns by advertisers and the examination of other variables.

Market acceptability assessment of electric vehicles based on an improved stochastic multicriteria acceptability analysis-evidential reasoning approach

With advances in information and communication technologies (ICT), customers increasingly share their comments about electric vehicles (EVs) on various professional websites. By mining these consumer comments, decision makers (DMs) can analyze consumer preferences and evaluate the market acceptability of EVs to optimize the layout of EV products. Although the traditional multi-attribute decision-making (MADM) method can provide relevant technical support, it is still challenged by two aspects in the context of big data: (1) DMs need to predefine the evaluated attributes and related weight parameters and (2) Various types of uncertain data need to be effectively processed in the evaluation process. To address these inadequacies, an improved stochastic multicriteria acceptability analysis-evidential reasoning (SMAA-ER) approach is proposed to evaluate market acceptability for EVs. First, the (latent Dirichlet allocation) LDA topic model is used to analyze consumer reviews to help DMs define attributes and attribute weight constraints. Based on the collected attribute information, the acceptability index of each EV is calculated and a cross-ranking matrix formed. Then, a linear programming model is established to rank the market acceptability of EVs. Finally, a real case is used to demonstrate the detailed implementation process of our approach and reveal its potential applications in a big data environment.

The 2-rank additive model with axiomatic design in multiple attribute decision making

In this paper, we study the 2-rank multiple attribute decision making (MADM) problem where alternatives are divided into two preference-ordered categories. We begin our study by introducing five axioms that characterize an “ideal” 2-rank additive MADM method, and then present an impossibility theorem: Five axioms cannot be satisfied simultaneously due to the intrinsic conflict among them. Next, we propose two simple 2-rank MADM methods: Permutation-based 2-rank method (PRM) and Ranking-based 2-rank method (RRM), and explore their desired properties based on the axioms. Furthermore, we design detailed simulation experiments and find out that the PRM and the RRM share the same 2-rank result in most cases although these two methods violate different axioms. Finally, we illustrate the PRM and the RRM through a consumer preference analysis case study.

Emerging Consumer Preference for Wine Attributes in a European Transition Country – the Case of Kosovo

This study analyzes consumer preferences for wine in Prishtina, Kosovo – a transition country in the Balkans, which is making efforts to withstand to the competition pressure from the traditional neighboring wine producing countries. With the changes in life style and consumer behavior, and incomes rising rapidly since the last conflict, it is imperative to survey the changing demand for producers to compete in the domestic markets. Conjoint Choice Experiments were used to evaluate wine consumer preferences based on wine type (white vs. red), origin (domestic vs. imported), taste (sweet vs. dry) and price. Four distinct classes of consumers were identified. The top two important attributes in the choice of wine are the type and origin but preferences vary across groups – type of wine and origin appear far more important when compared to price, especially for the richest identified segment, whose consumers prefer more expensive wines.

Heterogeneity in consumer preferences for ready-to-eat pomegranate: an empirical study in Italy

PurposeThe present study aims at analysing consumer preferences for the pomegranate fruit, focussing on the effect of ready-to-eat format (i.e. packaged arils) on the purchasing choice, together with several products’ attributes as the origin, the packaging typology and the price.Design/methodology/approachThe paper presents a choice experiment (CE) among 626 Italian consumers from Veneto region through an online survey. The study estimates both a conditional logit (CL) and a latent class logit model (LCM).FindingsBy segmenting the sample based on the heterogeneous preferences of consumers, it can distinguish “eco-friendly consumers”, “time-saving lovers”, “nationalists” and “price sensitive” subjects. Interestingly, the marginal willingness to pay for ready-to-eat arils is positive for the “time-saving lovers” that are mainly young consumers. The Italian origin has always a positive effect on the choice, whereas a negative effect is found for the price. Finally, the eco-friendly package has both a negative and a positive effect.Research limitations/implicationsThe sample of this study is not representative of the population and the CE has a hypothetical nature. It follows that further research will link the economic analysis to a consumer test on a more representative sample.Practical implicationsThis study can be useful for the pomegranate producers and the industry because it provides original evidence that could drive their business and marketing strategies, for instance, the preference for ready-to-eat arils.Originality/valueThis study is one of the first seeking to determine the factors that affect consumers' preferences for pomegranate arils.

Impact of government incentives on the market penetration of electric vehicles in Australia

Incentives to buy and use electric vehicles (EVs) may influence individuals’ decisions to do so. To examine these impacts, a latent class discrete choice model is developed to analyse consumer preferences related to EV attributes and related government incentives. Data was collected from a stated preference survey of 1,076 residents of New South Wales (NSW), Australia. According to the results, the proposed latent constructs classify respondents into five segments. The segments are then used to distinguish respondent behaviours regarding EV attributes and related government incentives. The results show that rebate on the upfront cost of an EV is the most preferred one-off financial incentive, because EVs are expected to be expensive, especially in Australia which has a very small EV market at present. Furthermore, rebates on energy bills and parking fees are also well-received, as these things are expensive in Sydney, Australia. Thus, operational incentives for discounts on energy bills and parking fees may facilitate the success of EVs in NSW.

Analysis of Consumer Preference for Milk Produced through Sustainable Farming: The Case of Mountainous Dairy Farming

As income is rising and urbanization progressing, the consumption of meat and dairy products is increasing, especially in developing countries. However, increasing livestock production leads to challenges that need to be addressed, such as yielding environmental pollution and causing climate change. Due to these circumstances, the importance of sustainable livestock farming has been highlighted in order to effectively utilize natural resources and to protect the environment. We analyzed consumers’ preference and willingness to pay for milk, one of the representative dairy products, which was produced in a sustainable way. Among the various attributes of milk, marginal willingness to pay for “performing sustainability” through mountainous farming was estimated to be the biggest. The willingness to pay was revealed to be higher for the consumer group with a high awareness of sustainable farming than the consumer group with low awareness. The empirical results in this study suggest that it is important to consider the economic feasibility of dairy farming by forming a consensus with consumers through publicity and changing the production pattern to promote sustainability.