Purchase Preferences Research Articles

Investigating the Role of Artificial Intelligence in Predicting Consumer Preferences (A Little Study in the Tehran Market)

Accurately predicting consumer preferences is one of the key success factors in marketing strategies. This research investigated the effectiveness of different artificial intelligence models in predicting consumer preferences in the Tehran market. The required data was collected through a questionnaire including demographic characteristics and purchase preferences from 400 consumers in Tehran. After data preprocessing, random forest, support vector machine (SVM) and logistic regression models were implemented to predict consumer preferences. The results showed that the random forest model has the best performance among the investigated models with an accuracy of 87%. Also, the data analysis showed that the variables of age, income and education have the greatest influence in predicting purchase preferences. These findings can help local businesses to optimize their marketing strategies and achieve better results in attracting customers.

Buyer Valuation of Angus Bull Attributes in Wisconsin

Abstract Hedonic analysis of Wisconsin Beef Improvement Association Bull Sale and Development Program data revealed buyer preferences for calving ease, growth, production weight, and carcass merit traits. Attributes like calving ease direct Expected Progeny Differences (EPD), average daily gain, birth to yearling gain EPD, and rib-eye area consistently ranked higher and significantly influenced the bull’s sale price. Further analysis using a 2-Class Finite Mixture Model indicated distinct groups of buyers in the region who prioritized measured bull attributes and others who did not, confirming heterogeneity in buyer preferences.

The Impact of Marketing Methods on Consumer Behavior in the Era of New Media

With the development of the new media era, marketing methods have undergone tremendous changes, therefore, consumers have a wider range of ways to obtain information. Previously, information could only be obtained from TV advertisements, newspapers, and magazines. Today, using social media and the Internet to transmit information is more rapid and convenient, which has a profound impact on consumers' cognition and behavior. Therefore, studying the impact of marketing methods on consumer behavior in the era of new media is of great significance and has profound practical value. The theme of this study is to explore how various marketing methods have an impact on consumer purchasing decisions, processes, and behaviors in the era of new media, and to find the connection between new media marketing and consumer behavior. This study adopts literature analysis and case analysis methods to explore. From the research results, it can be concluded that new media marketing methods have a significant impact on consumer behavior. On the one hand, it improves consumer understanding of product information and increases product awareness. On the other hand, it promotes communication among consumers, changes their purchasing decisions, and affects their purchasing preferences and behaviors. From this, it can be seen that in the era of new media, enterprises should fully consider consumer psychology, formulate relevant marketing strategies, attach importance to consumer needs, and enhance product visibility and diversification, to better meet consumer preferences.

Car Sales, Fuel Economy and Decarbonization in Mexico

The car market in Mexico has undergone substantial change over the last twenty years, as sales have increased dramatically and as policy measures have been introduced to improve fuel economy so that decarbonization targets can be achieved. The argument presented in this paper is that overall fuel economy is driven by vehicle sales and the fuel economy standards imposed. In addition, this picture is complicated by the purchasing preferences of buyers, and this might reduce the effectiveness of the policy measures introduced. A case study approach allows analysis of the shifts in transport policy (2003–2020) to be undertaken by linking the fuel consumption of cars (L/100 km) to the purchasing patterns of consumers, and from this estimate the levels of CO2 emissions. From the empirical analysis, it is found that, although there have been fuel economy gains every year, this is countered by (a) increasing sales of SUVs, and (b) a car market that is increasingly being dominated by larger cars. The current fuel standards are not sufficient to control the continued growth in fuel consumption, and levels of carbon emissions are continuing to increase. In conclusion, tighter emissions standards are needed, together with stronger governance structures and a range of further policy measures to improve car efficiencies and limit growth of the use of larger vehicles.

The Influence of Product Design and Beauty Vlogger Review on Serum Products Purchasing Decisions

In Indonesia, facial care has become a daily routine for women. The research was conducted in the city of Denpasar, the center of government, commerce, and culture in Bali, to understand the impact of product design and beauty vlogger review on serum purchase decisions amid increasing competition in the cosmetics industry. The problem formulation is, does product design influence product purchasing decisions? Does the beauty vlogger review affect the product purchase decision? Does product design and beauty vlogger review influence product purchasing decisions? The research method used was quantitatively descriptive, using surveys with research questionnaires, involving 100 respondents to collect data on serum purchase preferences. The research was analyzed using a double linear regression analysis method, then the data was processed using the help of SPSS software version 29. The results of the test on this study showed that the product design significance value is <0,001 < 0,05, the value of the beauty vlogger review significance is <0,001 < 0.05, so based on data analysis that product design and beauty vlogger review have a significant positive influence on the purchase decision of serum products in the City of Denpasar. In conclusion, attractive product design and positive reviews of beauty vloggers are important factors that influence serum purchase decisions, providing important insights for cosmetics companies in designing effective marketing strategies.

Bid evaluation with distortionary scaling in multidimensional procurement auctions

ABSTRACT Construction projects are often procured through multidimensional auctions, in which suppliers bid on both price and non-price attributes such as quality. In Korea, a unique scaling method is employed to differentiate bids, adjusting scores to ensure a sufficient point difference between adjacent quality bids. This scaling method aims to enhance the discriminating power of the scoring system and attract more sophisticated project designs. However, it may distort overall bid rankings and lead to inefficient contract allocation. The added uncertainty may incentivize suppliers to inflate their prices, as the effect of price on winning probability decreases with the scaling factor. Using Korean procurement data, I analyse cases of rank reversal, and I reveal a tendency among suppliers to bid less aggressively on price when quality differences are magnified, with the effect varying with the level of uncertainty in bid evaluation. This highlights the preference of buyers for a less distortionary scoring system to enhance the value of procurement.

Personalized pricing decisions through adversarial risk analysis

AbstractPricing decisions stand out as one of the most critical tasks a company faces, particularly in today's digital economy. As with other business decision‐making problems, pricing unfolds in a highly competitive and uncertain environment. Traditional analyses in this area have heavily relied on game theory and its variants. However, an important drawback of these approaches is their reliance on common knowledge assumptions, which are hardly tenable in competitive business domains. This paper introduces an innovative personalized pricing framework designed to assist decision‐makers in undertaking pricing decisions amidst competition, considering both buyer's and competitors' preferences. Our approach (i) establishes a coherent framework for modeling competition mitigating common knowledge assumptions; (ii) proposes a principled method to forecast competitors' pricing and customers' purchasing decisions, acknowledging major business uncertainties; and (iii) encourages structured thinking about the competitors' problems, thus enriching the solution process. To illustrate these properties, in addition to a general pricing template, we outline two specifications—one from the retail domain and a more intricate one from the pension fund domain.

Research on the preferences of maternity clothing shoppers

The article presents the results of a marketing study conducted to determine the preferences of buyers of clothes for expectant mothers. According to the survey results, we see the need to increase the range of comfortable, beautiful and mobile clothes for pregnant women. With the increase in the number of children, the need for clothes for women expecting a child increases every year. Naturally, expectant young mothers have a question about How to choose the right clothes during pregnancy. Women always want and strive to look stylish, appropriate and beautiful. During pregnancy, it is sometimes difficult to choose the right and beautiful clothes. So, pregnancy is a time when it is necessary to monitor the state of health for the benefit of the unborn child. Of course, during this period it is very difficult to choose clothes that will look stylish and will not harm the child's health. Maternity clothes should take into account the changed state of the body, mood, as at this time the appearance changes. To do this, in this research paper, we conducted a survey among pregnant women about which style and silhouette of clothes would be more comfortable. The results presented in our work help in the design and modeling of pregnant women's clothing.

Two stages data mining analytics for food intentional and behavioral recommendations

A recommender system is an information filtering system used to predict a user’s rating or preference for an item. Dietary preferences are often influenced by various etiquettes and culture, such as appetite, the selection of ingredients, menu development, cooking methods, choice of tableware, seating arrangement of diners, order of eating, etc. Food delivery service is a courier service in that delivers food to customers by restaurants, stores, or independent delivery companies. With the continuous advances in information systems and data science, recommender systems are gradually developing towards to intentional and behavioral recommendations. Behavioral recommendation is an extension of peer-to-peer recommendation, where merchants find the people who want to buy the product and deliver it. Intentional recommendation is a mindset that seeks to understand the life of consumers; by continuously collecting information about their actions on the internet and displaying events and information that match the life and purchase preferences of consumers. This study considers that data targeting is a method by which food delivery service platforms can understand consumers’ dietary preferences and individual lifestyles so that the food delivery service platform can effectively recommend food to the consumer. Thus, this study implements two stages data mining analytics, including clustering analysis and association rules, to investigate Taiwanese food consumers (n= 2,138) to investigate dietary and food delivery services behaviors and preferences to find knowledge profiles/patterns/rules for food intentional and behavioral recommendations. Finally, discussion and implications are presented.

Incremental Data Drifting: Evaluation Metrics, Data Generation, and Approach Comparison

Incremental data drifting is a common problem when employing a machine-learning model in industrial applications. The underlying data distribution evolves gradually, e.g., users change their buying preferences on an E-commerce website over time. The problem needs to be addressed to obtain high performance. Right now, studies regarding incremental data drifting suffer from several issues. For one thing, there is a lack of clear-defined incremental drift datasets for examination. Existing efforts use either collected real datasets or synthetic datasets that show two obvious limitations. One is in particular when and of which type of drifts the distribution undergoes is unknown, and the other is that a simple synthesized dataset cannot reflect the complex representation we would normally face in the real world. For another, there lacks a well-defined protocol to evaluate a learner’s knowledge transfer capability on an incremental drift dataset. To provide a holistic discussion on these issues, we create approaches to generate datasets with specific drift types, and define a novel protocol for evaluation. Besides, we investigate recent advances in the transfer learning field, including Domain Adaptation and Lifelong Learning, and examine how they perform in the presence of incremental data drifting. The results unfold the relationships among drift types, knowledge preservation, and learning approaches.

Toward just and equitable mobility: Socioeconomic and perceptual barriers for electric vehicles and charging infrastructure in the United States

Based on a large-scale public survey, we identify and quantify the significance of key factors associated with the deployment of electric vehicles and charging infrastructure. Our results indicate that individual characteristics, such as income, age, region, and single vs. multi-family housing type can significantly affect electric vehicle purchase preferences, especially those concerning overnight charging and perceptions of benefits and barriers. Moreover, our results challenge earlier findings in the literature by showing how certain elements, such as expected electric driving range, certain travel behaviors (e.g., driving distance, destination types), the most common perceived benefits (e.g., cleaner air) or barriers (e.g., reliability concerns), and preferred location for public charging seem to not vary much or at all with the socioeconomic, demographic, and geographical variables examined in this study. We conclude with the implications for policies to advance equitable vehicle electrification. Our findings underscore the importance of lower-cost models of electric vehicles, home and public charging access, charging infrastructure planning, more integrated analysis of interlinked housing and transportation needs and solutions, the availability of alternative transportation modes, and the potential role of gas stations for electric vehicles. We encourage others to build on these results and have shared our complete survey instrument as an added contribution.

The egalitarian value of counterfeit goods: Purchasing counterfeit luxury goods to address income inequality

AbstractThe present research demonstrates a novel driver of the growing demand for counterfeit luxury goods: perceptions of income inequality. Across five studies, using different samples and counterfeit luxury goods, we find that as perceptions of income inequality increase, consumers value counterfeit luxury products for their “egalitarian value”—a value associated with counterfeits' perceived ability to restore equality in society. Consumers perceive both public and private counterfeit luxury goods to have egalitarian value, suggesting that their value manifests itself beyond consumers' attempts to signal status via consumption. Moreover, the egalitarian value increases consumers' motivation to purchase counterfeit luxury goods beyond their hedonic, utilitarian, economic, or status signaling value. Finally, the positive effect of the egalitarian value of counterfeit luxury goods on purchase preference is greater among consumers who think equality is more desirable and attainable (i.e., those low in social dominance orientation). Our results outline one psychological mechanism underlying consumers' interests in counterfeit luxury goods, explaining how egalitarian value may link two important societal issues: growing income inequality and increased demand for counterfeits.

뮤지엄 샵 제품에 대한 소비자의 구매 선호 특성 융합 연구 – 중국 고궁박물관을 중심으로

뮤지엄 샵 제품에 대한 소비자의 구매 선호 특성 융합 연구 – 중국 고궁박물관을 중심으로

Implications for nutrition, expenditure, and environmental impacts of different protein purchase preferences

Implications for nutrition, expenditure, and environmental impacts of different protein purchase preferences

Study on Influence of Attributes on Online and Offline Buying Preferences: Understanding Opportunities and Future Options

Study on Influence of Attributes on Online and Offline Buying Preferences: Understanding Opportunities and Future Options

Suppliers' Perspectives on Cage-Free Eggs in China.

Successful promotion of cage-free eggs supports a housing system offering potential for improved hen welfare. As the world's largest egg producer and consumer, China offers much potential for welfare improvements. We examined 10 Chinese companies supplying cage-free eggs (four using indoor systems, six with outdoor access) to understand their strategies to promote cage-free eggs to businesses and consumers. We purposively sampled 12 employees from these companies familiar with production or sales. We conducted two-three semi-structured interviews per participant, collected public online documents (including online shops and social media content), and recorded field notes. We analyzed the data using template analysis to generate key results. Participants reported buyers being unfamiliar with 'animal welfare' and 'cage-free', but familiar with concepts associated with 'free-range'. Participants considered three attributes when promoting cage-free eggs: price (engaging buyers who were willing to pay more), experiential attributes (e.g., taste, accommodating buyer preferences), and non-sensory credence attributes (e.g., cage-free production, improving buyers' understanding and trust). Our results are not generalizable, though they may be transferable to similar contexts. Understanding how companies promoted cage-free eggs to buyers may help inform promotion of other animal products with welfare attributes. Simultaneous efforts are needed to ensure actual welfare improvements on farms.

A Study on Consumer Preference Buying Pattern Towards Amul Curd in Haridwar Uttarakhand

This master's thesis or dissertation “A study on consumer preference buying pattern towards Amul curd in Haridwar Uttarakhand”. Consumer preference towards Amul Curd in Haridwar Uttarakhand stand as center point of this comprehensive research focused on uncover the complex perceptions and preference within this deep market geography With a careful blend of qualitative and quantitative methodologies, This article examines the consumer buying preference towards Amul curd products. A questionnaire technique was adopted for data collection. Sample size taken in this is 100 consumers. The buying preference is positive which reveals that the buying preference of the consumers is high. The advertising strategies of the product can be improved to increase the sale of the company as much. Thus, the project concludes that the buying preference pattern of the consumers are very likely. The utilization of statistical tools such as t-tests analysis underscores the trial and finesse of this research endeavor. By me these analytical techniques, this study endeavors to not only uncover patterns and trends within the data but also to calculate its research objectives and hypotheses with original evidence. Through careful analysis and interpretation of results, this research focus to offer practical insights and strategic recommendations to top level management within the dairy industry and area. Formed into six’s chapters, the study advice a comprehensive analysis :1 Introduction, 2 Review of Literature, 3Consumer Attitudes towards Amul Curd,4 Analysis of Results and 5 Interpretations, and 6 Conclusions, Findings/Discussion & Recommendations.

Changes in risk appreciation, and short memory of house buyers when the market is hot, a case study of Christchurch, New Zealand

ABSTRACT In this paper, house prices in Christchurch are analysed over three distinct periods of time: post-2011 earthquake, pre-COVID-19 lockdown, and post-COVID-19 lockdown. The first method used is the well-established hedonic price model, additionally a second method incorporates random effects into the model to capture unobserved heterogeneity in buyers’ preferences for certain features of a house. Results show that buyers, in periods that are temporally distant from the 2011 Christchurch earthquake, underappreciate the risk of potential earthquake damage to a property. We find that there are observable shifts in buyer preference across the different time periods, specifically in terms of section size. We also examine heterogeneity and correlations in buyers’ preferences for floor area, land area, and age of a property.

Heterogeneous buyer preferences behind rejecting the law of one price in the fine wines market

Developing a second hedonic step, we show that the heterogeneity of agents' preferences partly explains the rejection of the law of one price in the Bordeaux and Burgundy fine wines. A significant effect of buyer profiles appears on the price.

Sustainable Foods: Consumer Opinions and Behaviour towards Organic Fruits in Poland

By producing high quality food with a low environmental impact, organic farming plays an essential role in developing sustainable food systems. Over time, consumer interest in organic food is systematically growing, which results in a generally positive attitude towards organic products. Many studies that are devoted to analysing organic food consumers’ behaviour aim to generalise the studied trends to the population of a given country or region. Given the varying rates of organic market development between countries, there is a need for more narrowly focused research, which could more profoundly facilitate local development of organic market. The aim of this study was to investigate the opinions of Polish consumers about organic fruit and to identify the socioeconomic and sociodemographic determinants of the propensity to choose and purchase organic fruit. Respondents were recruited via a market research agency using a consumer access panel. To collect responses, a formal, structured questionnaire was developed and distributed using the CAWI method. The general acceptance of price increases for organic apples amounts to less than around 30% (89% of responses). The effect of income and package size tend to interact with regard to the purchase preference of apples (p < 0.001). The highest frequency of organic fruit purchases were indicated for physical stores, in particular supermarkets (5.35 times/month, 95%CI). A relationship between willingness to consume organic fruits and the self-described economic situation (p = 0.005), as well as true household income (p = 0.007), has been shown. A relationship between the frequency of organic fruit purchases and the number of household members (p = 0.006), as well as number of household members under the age of 18 (p = 0.011), has also been shown. Marketing techniques for organic products should emphasize family welfare and be directed at younger consumers, especially at retail outlets where customers are most likely to buy them, namely physical supermarkets, local grocery stores and discount stores.