Consumer Preferences Research Articles

A Study on Consumer Preference of UPI With Reference to Ahmedabad City

This study investigates the associations between age and preferences for various payment methods, particularly focusing on Unified Payments Interface (UPI). Utilizing a quantitative approach, we tested multiple alternative hypotheses to explore how age influences payment preferences and perceptions. Results indicate that younger consumers tend to favor UPI due to its convenience, while older adults exhibit a preference for traditional payment methods such as debit and credit cards. Concerns about security and usability are notably more pronounced among older users, suggesting the need for tailored educational initiatives and user-friendly designs. The findings contribute to existing consumer behavior theories by integrating age as a critical factor in technology adoption. Practical implications emphasize the importance of targeted marketing strategies, enhanced user experiences, and effective communication regarding security features to foster greater acceptance of digital payment systems across all demographics. Recommendations for future research include longitudinal studies, cross-cultural comparisons, and an exploration of emerging technologies in the payment landscape. Understanding these dynamics is crucial for stakeholders aiming to enhance digital payment adoption and ensure inclusivity in the financial ecosystem

Acceptability of Bangus-Clam Sisig

Milkfish is one of the healthy and nutritious fish available, and it is loaded with omega-3 fatty acids and protein, which are essential for the proper functioning of the body. Mud clams, on the other hand, are rich in Vitamin B12, providing iron and additional protein. Mud clams, with their potential to regulate high blood pressure and support thyroid health, are a promising addition to any diet. Their rich content of riboflavin, choline, minerals, and vitamins, coupled with their low-fat content, make them a healthy choice. This study utilized bangus flakes and clam meat in varying proportions, combined with butter, garlic, chili, onion, liver spread, soy sauce, black pepper, annatto oil, oil, and salt. The objectives of the study were to develop a bangus-mud clam sisig product, evaluate its sensory characteristics (color, odor, taste, and texture) in different formulations, and determine whether there were significant differences in the acceptability of bangus-clam sisig across treatments. Moreover, the study aimed to identify the most preferred formulation (MPF) and assess consumer preferences. The development was performed in five (5) treatments with three (3) replications. The quality of the product was determined through sensory evaluation. The bangus-clam sisig had similar color, odor, taste, texture, and acceptability, regardless of the amount of bangus flakes and mud clam meat added to the formulated product. The addition of bangus and mud clam in the development of sisig, even in varying percentages, had no significant effect on the results in terms of color, odor, taste, and texture. However, during cooking, especially when pan-frying, the skin browns and crisps up. This contributed a significant amount of brown color to the overall dish. The results show that there was no significant difference in the overall acceptability of bangus-clam sisig, regardless of the amount of bangus and clam. All treatments were acceptable. Out of the five (5) treatments, the most preferred formulation consisted of 50% bangus and 50% mud clams. The findings show that most of the faculty employee and college students at the Capiz State University-Dayao Satellite College, preferred the bangus-clam sisig.

Unveiling game meat: an analysis of marketing mix and consumer preferences for a forest ecosystem product

This study explores the dynamics of the game meat market, with a particular focus on venison and wild boar meat, to assess the impact of a nuanced marketing mix and strategy grounded in a comprehensive customer analysis. By conducting three pivotal research studies—namely, the Omnibus Survey (2022) and Consumer Market Analysis Polls (2021 and 2023)—and analysing their data, this research comprehensively analyses buyers’ preferences, motivations, and purchasing patterns. This paper is guided by three research questions aimed at examining the relationship between the game meat consumption and engagement in forest ecosystem services, including forest visitation, the sociodemographic characteristics of consumers and the criteria for market segmentation. The analysis focuses on identifying factors influencing the game meat consumption and examines how these factors may influence consumer behavior over time. It also explores the implications for the development of marketing strategies, based on Michael E. Porter’s approach, which is discussed in detail. Additionally, the research evaluates the role of game meat within the context of forest ecosystem services, its contribution to forest reforestation initiatives, and its relevance in the formulation of forest policy. This examination highlights the dual nature of game meat as both a market commodity and a critical element in ecosystem management and policy frameworks, seeking to harmonize the economic and ecological objectives.

SWOT Analysis in Determining Consumer Preferences For Designing Traditional Nias Clothing

The purpose of this research is to find out consumer preferences in designing traditional Nias clothing, find out the design after conducting a SWOT analysis, and find out the obstacles that exist in the process of making traditional Nias clothes. This research uses a qualitative research approach. The sample in this study were 6 people consisting of business owners, traditional leaders, employees, and consumers. Data collection techniques, namely interviews and observations. The results of this study are steps in determining consumer preferences in designing traditional Nias clothing at UD. Vivi is the determination of the size motif and type of material, color selection based on market demand, the design produced by UD. Vivi in designing Nias traditional clothing is seen in terms of shape, size, quality, and product durability, the findings of threats to UD. Vivi is that it can come from various factors, namely competition, changes in market trends, changes in consumer preferences, especially among the younger generation who may prefer clothes with modern styles rather than traditional ones, which can reduce demand for traditional Nias clothing, the influence of foreign cultures: Influence from outside culture, and the tools used are still traditional.

Examining the Impact of Digital Economy on Consumer Preferences in the Metaverse Era: An Empirical Study on the Role of NFTs and Tokenization in Changing Purchase Intentions

This study aims to investigate the impact of the digital economy on consumer preferences in the Metaverse era, focusing on the role of Non-Fungible Tokens (NFTs) and tokenization in changing purchase intentions. Using a mixed-methods approach, this study combines quantitative and qualitative analysis to gain a comprehensive understanding of the key determinants of consumer purchase intentions in a rapidly evolving digital context. The results of the quantitative analysis show that perceived value, trust in blockchain technology, and user experience significantly influence consumer purchase intentions towards NFTs. Qualitative analysis through in-depth interviews reveals that scarcity, digital ownership, and community involvement are the main factors driving NFT adoption, while lack of technological understanding and regulatory uncertainty are the main barriers. This study also introduces novelty through the use of machine learning-based sentiment analysis and social network analysis to explore the role of social interactions in the formation of purchase intentions. These findings make important contributions to the literature on the digital economy by offering new insights into consumer dynamics in the Metaverse and highlighting the need for marketing strategies that focus on creating community value and immersive user experiences. Practical implications of this study include the need for consumer education and clear regulations to increase NFT adoption, as well as marketing strategies that leverage the emotional value and scarcity of digital assets. This research contributes to a better understanding of consumer behavior in the digital age and offers recommendations for further research in this area.

Analysis of Marketing Strategies in Increasing Sales of Pesticide Products

Agriculture is a very important sector in Indonesia, because it has natural resources (SDA) and Human Resources (HR). Based on researchers' observations that have been carried out at UD. Makmur Tani uncovered problems involving many similar, tight competing companies with limited pesticide products and inappropriate marketing strategies. This research aims to analyze the marketing strategy implemented by UD. Makmur Tani in an effort to increase sales of pesticide products. The main focus of the research is on the three main indicators of marketing strategy, namely segmentation, targeting and positioning. Based on this explanation, the type of research used in this research is qualitative research, which is because it is not in the form of numbers or numbers so it only takes the form of statements or sentences. The research results show that UD. Makmur Tani has implemented a market segmentation strategy based on geography and farmer demographics. In terms of targeting, the company focuses on farmers in certain regions. The positioning strategy implemented is by positioning certain products. Further analysis revealed that implementation of this strategy has contributed to increased sales of pesticide products. However, there are still several obstacles in its implementation, especially related to market competition and changes in consumer preferences.

Unveiling Regional Dynamics and Factors Influencing Fish Purchase and Consumption in Odisha, India

Despite India being a major global fish producer, per capita fish consumption remains notably low in several regions, raising concerns regarding the nutritional adequacy of diets. This study explores the factors influencing fish purchase and consumption patterns in the Cuttack and Khordha districts of Odisha, India. A comprehensive survey (n=400)was conducted, and a trans-regression analysis was applied to identify key factors. The results reveal that fish quality, with an emphasis on freshness, taste, and texture, is the most crucial factor influencing consumer preferences in both districts. Affordability, represented by fish prices, ranked second, while dressing facilities unexpectedly held significant importance, reflecting consumer preference for convenience in fish preparation. Sociocultural factors, including local traditions and dietary customs, also played a role but were less significant compared to other factors. The study highlights apromising trend of fish consumption exceeding recommended levels, contributing positively to nutritional goals. A comparative analysis betweenregions showed variability in meat consumption, with fish standing out as a primary dietary staple. These findings underscore the need for region-specific strategies to promote sustainable fish consumption, considering both economic and socio-cultural influences. The study contributes to the understanding of regional variations in fish consumption patterns and provides a foundation for targeted interventions to address nutritional challenges and promote sustainable dietary practices.

Digital Transformation Strategies for Enterprises - An Case Study of the Traditional Retail Industry

Against the background of rapid changes in science and technology and the rapid development of the digital economy, the market landscape is going through unprecedented and profound changes, consumer preferences becoming more and more personalized and diversified, while the e-commerce sector has shown a vigorous development trend. More and more traditional retail companies realize that digital transformation has become an unavoidable trend under competitive pressure. How traditional retail companies can establish a competitive and adaptable business model through digital technology is an urgent problem that needs to be solved nowadays, but many companies have no clear idea about it and lack systematic digital transformation plans. This paper analyses the current situation of traditional retail enterprises and the dilemma of digital transformation. It puts forward suggestions for digital transformation strategies, hoping to help retail enterprises understand and cope with the challenges of digital transformation, enrich the ideas of digital transformation at the theoretical level, and provide references for traditional retail enterprises that are undergoing digital transformation.

Factors Contributing to the Success of iPhone in the Chinese Market and Competitive Strategies

As one of the largest smartphone markets in the world, China’s huge market demand makes it an important player. Since entering the Chinese market, the iPhone has won a wide user base with its high-end brand image and innovative technology. The study focuses on analyzing the factors that have contributed to Apple’s success in the Chinese market, including brand building, product innovation, marketing strategies, and user experience. It also explores how Apple’s competitive strategies have helped it stand out in a fiercely competitive market environment. The study employs a combination of quantitative and qualitative research methods. By analyzing market data, conducting consumer surveys, and conducting market research, the study evaluates Apple’s performance and consumer preferences in the Chinese market, and explores Apple’s competitive strategies and market positioning. We found that Apple’s success in the Chinese market is mainly due to its strong brand effect, continuous technological innovation, precise market positioning, and effective marketing strategies. Apple has won the recognition of Chinese consumers with its high-quality products and excellent user experience. At the same time, it has successfully addressed competition pressure through differentiated competition strategies and the establishment of a unique ecosystem.

Factors Driving Consumption Preferences for Fresh Mango and Mango-Based Products in Italy and Brazil

In many European countries the consumption of tropical fruit is constantly growing, and people are increasingly turning to diets rich in fruit and vegetables. In this context, mango is considered a super-food for its nutritional medium-high energy value. Produced mainly in developing countries, tropical fruits animate an interesting international market. Production in Mediterranean countries is also growing and is increasingly requested in European markets. The aim of this work is to investigate the factors that drive the inclination to purchase fresh mango and mango food and drinks in Italy and Brazil in order to observe consumer preferences in the two countries. The personal experiences, motivations and choices of consumers regarding fresh mango and mango-based products were taken into consideration. Through an online survey, a semi-structured questionnaire was administered in Italy and Brazil which led to a total sample of 453 participants. The data were statistically analyzed, and a PLS-SEM model was used to empirically examine the factors influencing the consumption of fresh mango and mango food and drinks. The research hypotheses are all supported. For a comparison between the two countries, a multigroup analysis (PLS-MGA) was performed. In Italy, consumers are attentive to the quality and safety of the fruit; they choose the point of sale where they buy fresh mango or mango foods because they trust the seller to guarantee the fruit’s origin and transformation. In Brazil, new consumer trends are emerging especially in gastronomy; since they are local foods, they are considered safe, sustainable and healthy by consumers. The study addresses a little-explored topic and aims to enrich the debate on consumer orientations, preferences and reasons for buying mango and mango products.

Investigating Marketing Strategies and Consumer Behavior of Chinese Otome Games: A Case Study of Game “Love and Deep Space”

This study investigates the marketing strategies and consumer behavior associated with Chinese otome games, using “Love and Deep Space” as a case study. Otome games, a genre predominantly targeting female players, have gained significant traction in the Chinese gaming market. This research explores how these games are marketed and how consumer behavior influences their success. Through a mixed-method approach, including market analysis, consumer surveys, the study examines promotional tactics, platform usage, and consumer preferences. Key findings highlight the effectiveness of targeted digital marketing, the role of social media influencers, and the impact of localized content on player engagement. The results provide insights into how otome games can leverage marketing strategies to enhance their appeal in the competitive Chinese market and offer recommendations for developers aiming to optimize their marketing efforts and understand consumer preferences in this niche segment.For example, the popularity of games such as Love & Producer not only shows the commercial potential of B-girl games, but also highlights the specific needs of female gamers for game content and experiences. Therefore, game developers need to have a deep understanding of these requirements and incorporate them into game design and marketing strategies in order to gain a competitive advantage in this growing market.

Social Exclusion and Consumer Preference for Crowded Shopping Environments: The Moderating Role of Time Perspective

Introduction: This study investigates how social exclusion influences consumer preferences for crowded shopping environments and examines the moderating role of time perspective. Specifically, it explores the mediating role of social connectedness and how present hedonism and fatalism impact these preferences.Methods: Three experimental studies tested the hypotheses. Participants were randomly assigned to social exclusion or inclusion conditions, and their preferences for crowded environments were measured. Time perspective (present hedonism and fatalism) and social connectedness were also assessed.Results: Results show that socially excluded consumers prefer crowded environments to fulfill their social connectedness needs. Present hedonism intensifies this preference, while present fatalism diminishes it. The findings demonstrate the significant role of social exclusion and time perspective in shaping consumer behavior.Practical Implications: These findings provide actionable strategies for retailers to design environments that address the psychological needs of socially excluded consumers. Retailers can use these insights to create targeted marketing strategies, especially in a post-pandemic context, where social interactions are evolving.Originality/Value: This study offers new insights into the psychological mechanisms behind consumer behavior in response to social exclusion. By integrating Belongingness Theory and Time Perspective Theory, it deepens the understanding of how social exclusion drives consumer preferences for crowded environments, highlighting the moderating effects of present hedonism and fatalism

Are successful business people beneficial to society: an analysis based on consumer preferences

Common perceptions may view successful business people with suspicion, assuming that their achievements are gained at the expense of others or through less-than-ethical means. However, a fundamental truth about genuine success in business is that business should inherently benefit others. This article argues that despite potential negative impacts, through responsible business practices and appropriate regulation, successful business people can effectively cover their potential negative effects in both wealth creation and expenditure processes. Successful business people will increase social welfare by promoting job creation, driving innovation, and dedicating themselves to charitable causes. This article further adopts the basic concept of “prisoner’s dilemma” in game theory to analyze the evolving relationship between business practices and consumer choices. It explains how consumer preferences shape corporate behavior, leading to more socially responsible and environmentally sustainable practices.

The Impact of Different Types of Short Video-Linked Advertisements on Consumer Avoidance Behavior: A Case Study of Douyin Advertisements

With the rapid growth of the Internet, short videos have become increasingly significant in the advertising industry. Advertising linked to short videos has progressively emerged as a primary marketing strategy. However, certain categories of customers cannot be accurately targeted with advertisements, leading to dissatisfaction among some viewers of short videos. Consequently, ads associated with videos often result in consumer avoidance behavior. This article investigates and analyzes the impact of different types of short video-linked advertisements on consumer avoidance behavior, drawing on a variety of previous studies. The findings highlight the demographic traits and behaviors of consumers who tend to avoid product-related marketing in short videos. In an effort to address this issue, the study also provides comprehensive solutions and strategies to mitigate consumer avoidance and improve the effectiveness of short video advertisements. Moreover, the growth of online shopping has influenced consumer behavior and preferences, further emphasizing the need for effective advertisement strategies. By understanding the factors that contribute to ad avoidance and tailoring advertisements to meet consumer needs better, advertisers can enhance viewer satisfaction and engagement. This research contributes to the broader understanding of advertising dynamics in the digital age and offers practical insights for marketers aiming to optimize their short video advertising campaigns.

Perception and Attitude of Consumer Patronage of Ghana-Grown Rice: Evidence from Kumasi, Ghana

Increasing human population, urbanization, and changing consumer trends have contributed to the emergence of rice as the leading staple food in Ghana. Despite its importance in the Ghanaian diet, patronage and consumption of locally grown rice are not yet widespread. This study investigates consumer patronage of locally grown rice in the Kumasi Metropolis, Ghana, and fills a critical gap in understanding the specific factors that influence consumer preferences in urban settings. Data were collected through a cross-sectional survey of 120 respondents across different income categories using a multistage sampling technique and analyzed using descriptive statistics, a Probit model, and Kendall's coefficient of concordance. The study found that cooking quality, palatability, colour, and fragrance were the primary attributes that influenced consumer preferences. Probit analysis revealed that income and the frequency of rice consumption significantly influenced the likelihood of purchasing locally grown rice. Specifically, a higher income decreases, while frequent rice consumption increases the likelihood of choosing local rice. Key constraints identified include perceived high cost, limited availability, and concerns about the quality of rice. This study recommends that local rice producers, agricultural organizations, and government bodies should make efforts to improve the sensory and culinary qualities of locally grown rice through improved processing techniques, increased promotion, and campaigns to ensure the commodity is readily available to consumers. These strategies aim to boost local rice consumption and support agricultural sustainability and food security in Ghana.

Optimal strategies for contract farming supply chain with government subsidies under e-commerce assistance to farmers.

The agricultural issue is a focal point of concern for each country, and e-commerce assistance to farmers, as an emerging model, is gaining increasing attention. Considering this trend, this paper bases on e-commerce assistance to farmers and considers four types of government subsidies: no subsidy, price subsidy model with the farmer as the subsidy target, price subsidy model with the e-commerce platform as the subsidy target, and area subsidy model. Based on this, a game model of the contract farming supply chain involving a farmer and an e-commerce platform was established to explore the optimal decision-making in the contract farming supply chain considering various government subsidies under the background of e-commerce assistance to farmers. The results indicate that: (1) Consumer preference for supporting farmers and consumer premiums can stimulate the farmer to expand farm size, increase agricultural production, increase the purchase price of agricultural products and promote the growth of profits for the farmer and the e-commerce platform, contributing to the growth of social welfare. Output volatility can lead to a decrease in farm size and a reduction in the purchase price of agricultural products. (2) Government subsidies can support the farmer in expanding farm size and contribute to increased profits for the farmer and the e-commerce platform. However, government subsidies do not universally have a positive impact on every variable. The influence of government subsidies on the purchase price of agricultural products is contingent upon the method of subsidy distribution. Similarly, the effects of government subsidies on social welfare are influenced by factors such as price elasticity and agricultural productions per unit area. (3) From the perspectives of farm size, the purchase price of agricultural products, and profits of the farmer and the e-commerce platform, the government will have different and more targeted subsidy models, and the corresponding subsidy models are influenced by the agricultural productions per unit area. The research conclusion can provide references for optimal decision-making in contract farming under the model of e-commerce assistance to farmers.

Leveraging Machine Learning to Optimize Pricing and Restocking Strategies for Fresh Vegetables

In the competitive and diverse retail market, restocking and pricing perishable vegetables is challenging. Using big data and machine learning to analyze sales data, this research can build predictive models to refine these strategies and predict trends[1][2]. This research analyzed sales data from 2020 to 2023, identifying key trends in sales volumes, seasonality, and consumer preferences. It incorporated these findings into a multi-objective programming model that also considered wholesale and loss rates. This research used statistical tests like the Kruskal-Wallis and Mann-Whitney U to detect significant sales differences across vegetable categories, while the Spearman correlation showed strong seasonal and culinary impacts on consumer buying behaviors. To optimize freshness and maximize sales and profits, this research utilized genetic algorithms and regression analyses, including an effective XGBoost model. This model had a Mean Absolute Percentage Error of 16.97 and an R² of 0.94, aiding in predicting daily sales and improving pricing strategies and restocking schedules. These methods helped enhance decision-making, ensuring vegetable freshness and maximizing profitability, with projected profits reaching ¥41,582.87. This study not only highlights the effectiveness of integrating big data and machine learning in the retail sector but also sets a benchmark for operational efficiency in managing perishable goods.

ANALYSIS OF CONSUMER BEHAVIOR IN SHOPPING CHANNEL PREFERENCES IN A DUAL CHANNEL SUPPLY CHAIN STRUCTURE

Physical stores and online stores are one way that companies can continue to survive amidst competition by increasing profits from these two channels. Clothing is one of the textile commodities that is widely traded through physical stores and also online stores. This research identifies the factors that have the most significant influence on consumer preferences in choosing physical stores or online stores. Determining the factors involved adopts the results of previously conducted research. Based on existing research, there are several factors, namely Financial Risk (FR), Performance Risk (PerR), Psychological Risk (PsyR), Perceived Risk (PR), Environment Quality (EQ), Service Quality (SQ), Internet Experience (IE ), and Switching Intention (SI). From these variables, 8 hypotheses were formed. All hypotheses from the model were processed using Structural Equation Modeling with SmartPLS 3 software, it was found that H1, H2, H3, H4, H5, and H7 were accepted. H6 and H8 are rejected.

Analysing the modest fashion market: an empirical study of e-commerce best-selling products

Purpose This study examines the dynamics of the modesty-conscious market within the global fashion industry. Specifically, the research aims to understand and analyse the preferences of consumers in this market segment and provide guidance for fashion companies seeking to engage with this sizable audience consumer demand for modest fashion, such as loose-fitting garments and headscarves for women. Design/methodology/approach Employing a mono-method quantitative research approach, this study uses a comprehensive big data analytics framework to analyseashion data sets obtained from e-commerce websites. Findings The findings highlight a persistent and growing demand for modest fashion; that demand proved resilient in the face of challenges presented by the COVID-19 pandemic. Modest shoppers demonstrate price sensitivity, and their preference for premium brands over affordable ones varies considerably. Crucial factors contributing to the success of modest clothing as best-sellers include price, retailer, colour and fabric, while the discount feature is less important. Research limitations/implications While this research provides significant insights, it is important to acknowledge its limitations. This study relies on data gathered from certain e-commerce websites, and specific nuances of consumer behaviour may not be fully captured. In addition, the scope is limited to a specific timeframe and may not account for long-term market shifts. Practical implications Fashion companies could use the results of this study to customise their strategy for engaging the modesty-conscious demographic. Comprehending the significance of elements such as price, retailer, colour and fabric can allow firms to enhance their product offerings and marketing strategies. Social implications This study highlights the social ramifications of the modesty-focused industry, stressing the changing tastes and requirements of customers within this sector. By aligning their strategies with these societal shifts, fashion companies can contribute to a more inclusive and diverse industry landscape. Originality/value This research contributes to the academic literature on modest fashion by using a unique combination of exploratory data analysis and machine learning techniques with fashion e-commerce data sets. This study addresses a gap in the use of big data within this field, and provides novel insights into consumer demand for modest garments. This study challenges the prevailing assumption that consumers of modest fashion prioritise premium pricing, and offers fresh insights into their price sensitivity across both mass-market and luxury segments. It contributes to the literature on consumer behaviour in niche fashion markets and introduces a theoretical framework for understanding the intersection of fashion, culture and consumer economics within the context of modest fashion.

Adoption of Cashless Payment Among Undergraduate Students: A Case Study

The increasing acceptance of cashless payment systems has led to a significant transformation in the global financial transaction landscape in recent years. As technology evolves and consumer preferences shift, digital payment methods are gradually taking the place of traditional cash transactions. This change not only facilitates financial transactions for individuals and businesses but also has significant implications for convenience, security, and financial inclusion. This paper investigates the key factors driving the transition to cashless transactions during this period, along with the benefits and drawbacks associated with society's growing embrace of this innovative approach to managing finances. The primary focus of research in this area revolves around the adoption and use of digital or cashless payment methods. A quantitative methodology was employed, and a questionnaire was administered to 113 participants. The data were analyzed using the Statistical Package for Social Science (SPSS) Version 27. The findings indicated that Performance Expectancy (PE) and Perceived Technology Security (PT) played significant roles in the adoption of cashless payments among undergraduate students while Facilitating Condition (FC) and Social Influence (SI) did not significantly affect their adoption of such payment methods. This study provides valuable insights into assessing individuals' willingness, intentions, or actual behaviors regarding various electronic transaction forms, including mobile wallets, credit/debit cards, online payments, and contactless methods. Additionally, researchers can utilize these variables to explore the factors that influence users' acceptance or rejection of cashless payment systems.