Purchase Preferences Research Articles

The impact of chemophobia on wine consumer preferences explored through the case of sulphites

Chemophobia refers to the fear of chemicals and the belief they are harmful or toxic. This phobia can influence people's attitudes and behaviours towards the use of chemicals in food products and other consumer goods. Focusing on the wine sector, there is a growing interest in understanding how consumer perceptions of wine-related health issues affect wine purchasing. In this regard, the presence of sulphites in wine production has become a key topic in the wine industry, as their use is crucial in traditional wine production. The aim of this research was to assess the relationship between the degree of neophobia (wine neophobia and food technology neophobia) and chemophobia in wine consumers and to determine how the presence of sulphites in wine affects their purchasing preferences. The research also aimed to identify consumer segments that exhibit greater acceptance of wines without added sulphites. By using data of 562 surveys to Spanish wine consumers, the results obtained suggest that wine consumers have a relatively high level of chemophobia and show a strong preference for wines without added sulphites. The results of the consumer segmentation showed that higher levels of education and income were generally associated with lower levels of chemophobia. Our results reveal the real perceptions of consumer risk towards the presence of sulphites in wine and show how education and information play a key role in the perception of chemical-related risks in foods.

Patterns of decision-making and driving factors among Indian wine drinkers: When picking out a bottle of wine

In today's highly competitive global consumer market, it is crucial to understand the factors that influence customers' decisions to select a particular product (in this case, wine) from among thousands of brands. Many hours have been spent investigating what factors influence people to buy specific products. However, there is scant research on the preferences of wine buyers when shopping online. Understanding why consumers pick one brand of wine over another when faced with literally thousands of options is crucial in today's hyper-competitive global consumer market. Researchers have paid close attention to how customers behave when deciding which products to purchase. However, there is a lack of research into the habits of people who buy wine online. The evolution of the Indian wine industry, common grape-growing regions and products, and other motivating factors are all discussed. A questionnaire for the study was also developed based on previously established models and ideas. Information was collected and analysed from numerous resources. The 619 responses provided a detailed portrait of Indian wine consumers and numerous strategies for reaching them.

Exploring the promotion of green technology innovation in the new energy vehicle industry: An evolutionary game analysis.

This paper aims to explore how to promote green technology innovation (GTI) among new energy vehicle (NEV) manufacturers and the strategic changes among the government, manufacturers, and consumers. From the perspective of evolutionary game theory, a tripartite evolutionary game model is established to analyze the influence of key factors on the tripartite strategies in the context of the government's willingness to subsidize gradually decreases. The main findings are as follows: (1) government subsidies provided to manufacturers better promote their willingness to participate in GTI. The relationship between government subsidies and GTI is not linear, and the government cannot blindly increase the level of subsidies. (2) The willingness of NEV manufacturers to engage in GTI is influenced by price and consumer purchase preferences. The higher the price of new energy vehicle using green technology (NEVG) is not better, and lowering the price of NEVGs can promote manufacturers' participation in GTI and consumers' purchase of NEVGs. (3) Increasing the mileage of NEVGs and consumers' green consumption preferences will effectively increase consumers' willingness to purchase. Accordingly, this study suggests that to enhance manufacturers' participation in GTI, the government should increase subsidies and encourage green consumption among consumers. In addition, manufacturers should focus on improving the mileage of NEVGs and reducing their prices to make them more accessible to consumers.

A Study on Purchase preference and Repurchase intention towards E-Commerce platform

Purpose - The paper focuses on shift from home-basket to E-basket and customer behaviour related to that, hence the research aims to study the Customer online buying behaviour, the factors affecting Customers’ Purchase preference criteria towards E Commerce platform and the reasons that can lead to Customers’ Repurchase intention towards E Commerce platform. Design/methodology/approach - As the study aims to study the significance between independent and dependent variables with respect to purchase preference and Repurchase intention towards E Commerce platform, the researchers have applied Multiple regression model to test the hypothesis using IBM SPSS-22 software. The researchers have also checked the reliability and normality of the data using the mentioned software. Findings - The study suggests there is significant influence of Coordinated marketing factors, functional benefits, Reference group triangle and trust on Purchase preference towards E Commerce platform and there is significant impact of personal benefits with respect to Repurchase intention with customers having intention to buy related products more compare to same product and higher priced products. Originality/value - Earlier researches have focused on marketing factors and functional benefits, influencing factor separately, whereas this study has taken the combined and coordinated impact of marketing factors, functional benefits and instead of single influencing factor, the study has taken into consideration the reference group triangle along with trust as an independent variable instead of mediating variable which the other studies have considered earlier. Further Research - Research give direction that people having repurchase intention would be willing to buy more of related products, then same products and few people are willing to buy higher priced products, which can further be researched as Cross buying habits of customers on E commerce platform.

Exploring Latent Characteristics of Fake Reviews and Their Intermediary Role in Persuading Buying Decisions

Online reviews play a significant role in shaping consumer purchase decisions. Accordingly, emergence of fake reviews has proliferated as an instrument to manipulate customers’ buying preferences. Such manifestation, however, lacks theoretical grounding and remains under researched due to two notable challenges: first, absence of conceptual underpinnings between consumers’ writing style and recommendation behavior. Second, little knowledge about the role of product characteristics underlying fake reviews and their influence on nudging product preferences. Through the lens of environmental psychology, this study uses an empirical investigation utilizing natural language processing (NLP) to uncover latent product-specific features underlying customer reviews and their impact on persuading buying preferences. As a major finding, we observe that characteristics underlying fake reviews, as opposed to genuine ones, fail to influence product recommendation or discouragement. Accordingly, we suggest firms permitting fake reviews on their portals to be aware of the limited economic advantages of such practices.

Post-pandemic Change in Women’s Online Buying Preferences

Many people’s lifestyles and goals have altered as a result of the pandemic, and their buying habits have shifted as well. The goal of this study is to determine the post-pandemic change in women’s online buying preferences. The study influenced the influence of the pandemic on e-commerce across industries to discover online women consumers’ priorities in online buying preferences. Shopping got more comfortable for consumers as a result of the availability of more digital touch points and an increase in the available time. Still, it also became more challenging for marketers to keep track of everything. Customers are continually exposed to the option to make purchases, whether on social media, reading their email, or watching YouTube videos. Because of this, marketers must create an Omni channel presence to be at the front of consumers’ minds wherever they are. Spearman correlation, ANOVA, and percentage analysis have been used for the statistical analysis. The study found that people anticipate a wide variety of alternative payment choices from online shopping as they do more and more of their shopping online. Buy Now Pay Later (BNPL) industry is growing alongside general e-commerce as a whole. Nowadays, consumers expect everything to be delivered to their doorsteps. Millennials and Gen Z consumers continue to rely on influencers for product discovery and deciding which brands to believe in. Specifically, consumers now often look for recommendations from social media influencers who could only have a limited, niche audience. As consumers increasingly opt for digital channels for browsing and buying, brands need to make sure that their digital experience is on par with what someone would get in the store.

Drivers of Purchase Decisions Among Consumers of Dried Flower Cannabis Products - A Discrete Choice Experiment.

Cannabis was legalized for non-medical use in Canada in 2018. However, with a long-established illegal market, it is important to understand cannabis consumers preferences in order to create a market that encourages purchasing cannabis through legalized channels. A survey including a discrete choice experiment was conducted to estimate preference weights for seven attributes of dried flower cannabis purchases (price, packaging, moisture level, potency, product recommendations, package information and regulation by Health Canada). Participants were at least 19 years of age, lived in Canada, and purchased cannabis in the last 12 months. A multinomial logit (MNL) model was used for the base model, and latent class analyses to identify sub-groups preference profiles. 891 participants completed the survey. The MNL model showed that all attributes significantly influenced choice, except product recommendations. Potency and package information were most important. A three-group latent class model showed that ~30% of the sample were most concerned with potency, while two groups, jointly making up the remaining ~70% were most concerned with package type ( ~40% preferred bulk packaging, ~30% preferred pre-rolled joints). Consumer purchase preferences for dried flower cannabis was influenced by different attributes. Preference patterns can be grouped into three groups. About 30% of the population appeared to have their preferences met by the legalized market, while another 30% appeared to be more loyal to the unlicensed market. The remaining 40% represented a group that may be influenced through regulatory changes to simplify packaging and increasing availability of product information.

A Study of Consumer Buying Behavior of Ford Brand

Preferences of Ford brand buyers Developing a successful market in today's competitive environment requires an in-depth familiarity with consumer purchasing patterns. The study's goal is to evaluate how satisfied buyers are with their Ford purchases and identify the factors that contribute to their decision to purchase. The study's primary objective was to learn about current Ford car owners' perceptions of the brand's strengths and weaknesses. Researchers use questionnaires to learn about consumer buying habits in relation to variables like brand. Features, mileage, offers, performance, and service. Telephone callings were also used to get feedback from current car owners on how to make the car-buying/-leasing process more convenient for future customers. To help us evaluate the merits and shortcomings of the vehicles, we surveyed 100 people at random. The primary purpose of this report was to survey Ford customers about their experiences with the company's current products and services and analyse those responses in light of what those customers would like to see Ford offer in the future. Brand recognition, product offerings, and pricing were identified as company strengths, while mileage and customer service were identified as areas for improvement.

157 Thoroughbred and auction characteristics that impact bid price when sold at online auctions

Thoroughbreds are best known for their careers as racehorses, a career that often concludes between the ages of 3 and 6. After racing, Thoroughbreds can perform successfully in other disciplines like eventing and dressage. However, the owner demand for off-the-track Thoroughbreds (OTTBs) as mounts for second careers is not well characterized. Therefore, the objective of this study is to quantify the buyer demand for OTTBs that have started second riding careers and are being marketed through a virtual auction. Horse and auction characteristics were collected on 170 Thoroughbred horses across 39 online sport horse auctions between 2012 and 2020. Data were analyzed using ANOVA (α = 0.05) and mean separations were assessed using Tukey's HSD when appropriate (STATA 16). Bids ranged from $100 to $20,000 and the average was $2,528.25 ± 3,011.37 (mean ± SD). Horse age impacted (P = 0.001) the bid price, where each additional year increased bid price by $430.50 ± 158.7. However, when the age was squared to model an aging horse, bid price decreased (P = 0.001) with age (-$22.91 ± 6.74). Additionally, geldings brought a premium of $924.08 ± 427.84 over mares, displaying buyer preference for geldings. Horse color, especially chestnuts ($1,071.07 ± 555.28;P = 0.05) and grays or roans ($1,054.05 ± 536.41; P = 0.05), brought premiums over bay or black horses. Horse height did not (P > 0.05) impact bid price, nor did Jockey Club registration (P > 0.05) or previous training in most English riding disciplines (P > 0.05). Horses listed as trail riding mounts, though, received discounts (-$1,599.46 ± 604.58; P = 0.001) compared with other disciplines. Of the auction logistics, only registration in USEF or USHJA or USEA affected (P = 0.01) bid price, where registration increased sale price by $1,967.33 ± 820.24. This interest shows that bidders value horse registration and could suggest a valuable tool for sellers to increase their horse's bid price. By characterizing the discounts and premiums for horse and auction characteristics, equine bidders can better expect what a horse may sell for, and which attributes could lend them more competition when actively bidding. Additionally, sellers can use this information to not only calculate what premiums or discounts their horse may sell with, but sellers can increase their horse's bid by enhancing their profile with registration.

Why does female voters prefer vote buying in local head elections?

This study aims to analyze the determinants of vote buying preferences among female voters in local head elections. We identify eight independent variables (education, income, welfare, happiness, risk-taking attitude, place of residence, age, and marital status) as a predictor of Y. This research used the 5th Indonesian Family Life Survey (IFLS) data, which was collected by Rand Corporation, Ltd., during 2014 – 2015 in 13 (thirteen) provinces in Indonesia. The data were analyzed by logistic regression technique using STATA 15. The results showed that only four independent variables had a statistically significant relationship with Y: education level, risk-taking attitude, income level, and marital status. These four independent variables can explain Y by 2.48% significantly, X2 (4) = 357.23, p < 0.01. At the variable level, all variables have a negative relationship with Y, except for marital status (142%) which has the largest contribution to explain Y. The effect of income, risk-taking attituted, and education on Y respectively is 90.62%, 80.90%, 31.11%. The final model of logistic regression produces the characteristics of female voters who tend to choose candidates local head election due to money politics: education below senior high school/equivalent, married, poor, and not willing to take risks. The author recommends all governments at all levels continue the modernization process in all aspects of the social life of Indonesian citizens.

Unravelling Consumer Preferences and Segments: Implications for Pakistan’s Mandarin Industry Development through Market Relocation

Rising food security and safety concerns in developing countries have highlighted the importance of establishing efficient and dependable food distribution systems, which necessitate a thorough understanding of consumers and their needs. Thus, this study unravels consumer segments, their preferences, and socio-economic composition so that stakeholders in Pakistan’s mandarin (locally known as Kinnow) industry can improve their practices and supply consumers’ desired quality. Primary data were collected through an intercept survey of 540 mandarin consumers in four major cities of Pakistan. Collected data were subjected to hierarchical cluster analysis, Mean ANOVA, and Post-Hoc tests for consumer segmentation and profiling. The study classified consumers into three groups: ‘value seekers’ (45.74%), ‘Kinnow lovers’ (26.85%), and ‘perfectionists’ (27.41%) related to their choice of various attributes of fresh mandarin fruits. The three segments significantly differed in their preferences for quality attributes, consumption and purchase preferences, and socio-economic composition. The study highlights the implications of understanding consumer preferences and market segmentation for private and public stakeholders in the mandarin industry. The existence of consumer segments with distinct quality preferences urges value chain actors to upgrade and align their practices with consumer requirements. The study findings provide insights for deciding relevant crop/cultivar mix with due consideration to geographically distinct consumer segments and land suitability. The findings may also be useful to relevant public-sector institutions in developing policies and programs for the development of the horticultural industries in Pakistan.

Factors Affecting Thoroughbred Online Auction Prices in Non/Post-Racing Careers.

Racehorse welfare is a prominent, public issue which affects nearly every aspect of the racing industry. Thoroughbred care after race career completion has garnered increasing attention from the equine industry, general public, and animal welfare groups alike. As the average racehorse's career lasts just 4.5 years, owner demand for thoroughbreds is essential for post-race careers and acceptable welfare standards. This study utilized data from and hedonic pricing models to analyze buyer demand for thoroughbreds sold in online auctions held from 2012 to 2020. The results indicate buyer preferences for age (p < 0.01), sex (p < 0.05), and organization registration (p < 0.05), with bid price premiums for age and registration status (USEF, USEA, USHJA, etc.) and price discounts for mares compared to geldings and horses listed for non-competition careers (trail, p < 0.01). The results of this study confirm and quantify the value potential buyers place on thoroughbreds offered for sale in sport disciplines. The findings may help non-profit organizations charged with rehoming off the track thoroughbreds and reduce the number of unwanted thoroughbreds by illustrating the desired traits and skills within the equine market, thus improving welfare optics overall.

A Differential Game for Optimal Water Price Management

This article studies a leader–follower differential game with a finite horizon, where a single buyer reacts to the selling price set by an agency (water supplier). The Open-Loop Stackelberg equilibrium is calculated, assuming that the user demand is fully satisfied (that is, the interior solution is considered), and the following different tariff schemes are analyzed: linear scheme, increasing block tariff, and convex tariff. Numerical simulations highlight how tariff convexity and seasonality in buyer’s preferences affect water price and demand, and the dynamics of the basin over time. The study shows that synchrony or asynchrony between basin recharge and buyer cyclical demand can dramatically affect the dynamics and basin levels observed at the end of the time period considered. Additionally, the presence of a large number of fluctuations in buyer preferences affects basin fluctuations, while natural recharge may help in maintaining acceptable levels of future water demands.

More Is Better, Or Not? An Empirical Analysis of Buyer Preferences for Variety on the E-Market

This paper examines the effect of the number of sellers of a good on buyers’ demand, using an extensive dataset from an e-commerce platform (PriceMinister.com) in France. Accounting for seller and product characteristics constitutes variety amongst the same product. Although buyers may prefer a wide variety, it can introduce a search cost. Using a flexible semiparametric specification, I find that the demand of buyers does not monotonically increase in relation to the number of sellers (variety), contrary to assumptions in the literature. I illustrate the consequences of misspecification of these network effects through a counterfactual simulation.

마스크 스타일 관심도에 따른 구매 선호요인이 만족도에 미치는 영향

In a pandemic situation, masks have proven to us globally the diverse cultural values of life protection and fashion items. The purpose of this study was to understand the effect of purchase preference factors on satisfaction according to the style interest of masks during the pandemic. As a research method, SPSS25.0 statistical program was used for 373 adult men and women. As a result of the study, as the interest in style increased, the preference for color, design, brand, advertising media, and quality, excluding price, increased. In addition, it was confirmed that satisfaction also increased as the perception of each factor of overall purchase preference increased. This suggests that the attitude of changing perception of mask fashion is positive according to the new change in the mask consumption market. In the future, research on mask development focusing on sustainability reflecting consumer needs is needed, and this study is expected to be an important basic data for follow-up research.

An experimental study on the potential purchase behavior of Chinese consumers of new energy hybrid electric vehicles

The automotive industry has paid close attention to the promising future of new energy vehicles, and the new energy hybrid electric vehicles that fall under this category are gradually entering the public eye. This paper uses the SPSS software to conduct an experimental study on the “purchase preference for new energy hybrid vehicles” and its influencing factors of different types of consumers in China, based on 379 questionnaires and the results of situational experiments conducted by the research group in 24 cities across the country. The findings are as follows: 1) Different categories of consumers have a large gap in their cognitive preferences for new energy hybrid electric vehicles; 2) There is little difference in “purchase preference for new energy hybrid electric vehicles” among different categories of consumers; 3) The improvement of education and income has a significant effect on promoting consumers’ “environmental awareness”; 4) Consumers’ perception of the government’s new energization policy is positive. Based on the preceding conclusions, this paper puts forward the policy recommendations to promote new energy hybrid electric vehicles.

Evaluating Consumer Behavior, Decision Making, Risks, and Challenges for Buying an IoT Product

Home appliance manufacturers have been adding Wi-Fi modules and sensors to devices to make them ‘smart’ since the early 2010s. However, consumers are still largely unaware of what kind of sensors are used in these devices. In fact, they usually do not even realize that smart devices require an interaction of hardware and software since the smart device software is not immediately apparent. In this paper, we explore how providing additional information on these misunderstood smart device features (such as lists of sensors, software updates, and warranties) can influence consumers’ purchase decisions. We analyze how additional information on software update warranty (SUW) and the type of sensors in smart devices (which draw attention to potential financial and privacy risks) mediates consumer purchase behavior. We also examine how other moderators, such as brand trust and product price, affect consumers’ purchase decisions when considering which smart product option to buy. In the first qualitative user study, we conducted interviews with 20 study participants, and the results show that providing additional information about software updates and lists of sensors had a significant impact on consumer purchase preference. In our second quantitative study, we surveyed 323 participants to determine consumers’ willingness to pay for a SUW. From this, we saw that users were more willing to pay for Lifetime SUW on a smart TV than to pay for a 5-year SUW. These results provide important information to smart device manufacturers and designers on elements that improve trust in their brand, thus increasing the likelihood that consumers will purchase their smart devices. Furthermore, addressing the general consumer smart device knowledge gap by providing this relevant information could lead to a significant increase in consumer adoption of smart products overall, which would benefit the industry as a whole.

Capacity Expansion Optimization of Determined Charging Stations Based on Accessibility Analysis and Improved Discrete Choice Model

Reasonable capacity expansion optimization of determined charging stations is important for the popularization of electric vehicles (EVs). In this article, Gaussian two-step floating catchment area method and temporal clustering are adopted to study the unbalanced spatial and temporal distribution of charging station accessibility, as well as to determine candidate sites for capacity expansion optimization. Then, a two-level optimization model for capacity expansion of determined charging stations is proposed to reduce the computational complexity caused by the non-linearity and non-convexity of choice probability formulas when the discrete choice model is applied to statistically describe and analyze discrete behaviors such as users’ EV purchase preferences and charging station heterogeneity. In the proposed method, the lower-level model is described as a maximal coverage location problem by expressing the error term of the utility function as a linear combination of the random vectors from IID normal distribution and IID Gumbel distribution, which effectively simplifies the computing process. Finally, the two-level model can be transformed into an integer linear programming problem to optimize the capacity of determined charging stations. Experimental results show that the purchase rate of EVs is significantly improved, and the accessibility of charging stations during rush hours is more balanced than before.

Macroprudential policy and household wealth inequality: Evidence from China

The influence of LTV ceiling on household wealth inequality is not constant. This paper finds that when the return on housing investment is higher than the return on liquid assets, the LTV ceiling generally has a negative impact on household wealth inequality; otherwise, it is more likely to be positive. Increasing the LTV ceiling can significantly alleviate household wealth inequality in China. Housing price and the number of houses purchased are important channels, and the house purchase preference (savings rate and house purchase intention) plays a key role in regulating wealth distribution through the LTV ceiling.

A Study on Consumer Buying Behaviour towards Eatery Outlets in Silvassa City

The Indian food joint industry has witnessed high growth strides in the past years, with increasing disposable income, exposure to a number of cuisines and consumers’ willingness to experiment a mix of both western and local menu. The purpose of the research is to study consumer buying behaviour towards food eatery outlets with respect to Silvassa city. The article aims to perceive the consumption pattern towards food joint; the likes, dislikes and perception and preferences of consumers towards eatery outlets. The article will contain issues regarding place of purchase and the factors determining the behaviour of buyers of food products as well as factors affecting preferences of buyers of eatery services. The main aim of the study is to understand the concept, significance &amp; process of consumer buying behaviour, to analyse the consumers’ buying behaviour towards eatery outlets in Silvassa city and to gather inferences from the study and extend recommendation with respect to the impact of consumer buying behaviour on business of Eatery Outlets.&#x0D; The research design is exploratory and descriptive and the data collected was primary and secondary using questionnaire as research instrument. The sample size is 121 and the population is residents from Silvassa city. The sampling technique used is non -probability convenience sampling. The scope of the study states the extent of Consumer Behaviour attributes is gathered in Silvassa City only. The Project enables to characterize the 7 Ps pertaining to the Eatery Outlets. The respondents hesitated to respond as the survey intended to ask their personal choices. The behavioural context is gathered from a limited area; hence the inferences are indicative in nature.