Product Style Research Articles

The Impact of Blind Box Economy on Consumer Behavior in Social Media Networks

Blind box is a kind of non-transparent box, consumers can not know in advance of the specific product style of the goods, and this random form of consumption is being sought after by a large number of young people. With the continuous enrichment of blind box products, in the era of social media, the blind box economy is growing stronger. Blind box economy, as a special consumption model, has risen rapidly in social media networks in recent years. This paper aims to explore the definition, characteristics, and effects of blind box economy on consumer behavior. Firstly, the definition and characteristics of blind box economy are introduced, including aesthetic experience, emotional value, social value, and second-hand value. Secondly, the influence path of blind box economy on consumer behavior is analyzed, and the interest groups, purchasing process, consumption behavior and symbol consumption are discussed. Finally, the positive and negative effects of blind box economy on consumer behavior are summarized, and relevant suggestions are put forward to promote the healthy development of blind box economy and the reasonable choice of consumers.

Understanding farmed salmon imports and e-commerce consumer satisfaction in China: A text mining approach

Salmon, a luxury aquatic species, has seen a steady increase in imports in China. The rapid development of the Internet, the transformation of consumption behaviour, and the impact of the COVID-19 pandemic have prompted consumers to purchase salmon products from e-commerce platforms in China. In this context, understanding salmon import trends and consumer satisfaction with salmon e-commerce is critical to promoting and sustaining sales of salmon products through e-commerce platforms. Therefore, this study aims to investigate the import trend analysis of salmon in China as well as understand factors influencing consumer satisfaction with salmon e-commerce. We analysed 10,064 consumer comments out of 25,763 for this study after resampling the proportion of positive/negative comments. Sentiment analyser, Textblob, classified 65.2 % of consumer comments as positive, 21.7 % as negative, and 13.1 % as neutral. Additionally, Latent Dirichlet Allocation (LDA) topic modelling identified five areas critical for satisfaction with salmon e-commerce: purchase decision (19.5 % of the comments), eating experience (22.3 %), service quality and delivery (20.6 %), purchase history (17.5 %), and general product quality (20 %). Our findings indicate that service quality and delivery are the most critical factors affecting consumer satisfaction, whereas purchase history has the least impact. Consumers’ PLUS membership profile, salmon product style, and preservation form had a significant influence on consumer satisfaction, while the country of origin, weight and price of the product had no significant influence. Salmon e-commerce platforms need to improve logistic service and delivery quality to influence consumer satisfaction.

Wardrobe furniture color design based on interactive genetic algorithm

With the change in consumption environment and habits, the active feedback from users on online shopping platforms serves as a valuable source of information for analyzing user demand. Color design is an important factor in shaping product style and influencing user’s purchase decisions. This study combines the Latent Dirichlet Allocation (LDA) and an interactive genetic algorithm (IGA) to investigate the usability of the interactive genetic color selection method for wardrobe color design. Firstly, the LDA model was employed to cluster online review data to identify customer requirements (CRs), then summarize the perceptual evaluation factors (EFs) of color selection. Subsequently, the color selection information from market examples was used as reference to establish the initial population, and the interactive genetic color design process was completed with CorelDraw. Then, the fuzzy comprehensive evaluation method was employed to evaluate the color scheme generated from IGA. The empirical analysis demonstrated that the interactive genetic color selection method can effectively enhance both efficiency and satisfaction in wardrobe design. This study has substantial implications for both theory and practice in the field of wardrobe design and offers designers novel design concepts and methodologies.

Exploring product style perception: A comparative eye-tracking analysis of users across varying levels of self-monitoring

Digital shopping applications and platforms offer consumers a numerous array of products with diverse styles and style attributes. Existing literature suggests that style preferences are determined by consumers’ genders, ages, education levels, and nationalities. In this study, we argue the feasibility and necessity of self-monitoring as an additional consumer variable impacting product style perception and preference through the utilization of eye-tracking technology. Three eye-movement experiments were conducted on forty-two participants (twenty males and twenty-two females; Age: M = 22.8, SD = 1.63). The results showed participants with higher levels of self-monitoring exhibited shorter total fixation durations and fewer fixation counts while examining images of watch product styles. In addition, gender exerted an interaction effect on self-monitoring’s impact, with female participants of high self-monitoring ability able to perceive differences in product styles more rapidly and with greater sensitivity. Overall, the results highlight the utility of self-monitoring as a research variable in product style perception investigations, as well as its implication for style intelligence classifiers, and style neuroimaging.

White wine vinification and an expanded insight into pellicular macerations: bibliometric and bibliographic review.

Pellicular macerations in the vinification of white wines involve the contact of grape skins and seeds with the must before, during or after alcoholic fermentation. Pre-fermentative pellicular maceration aims to enrich the must with volatile compounds and aroma precursors. Fermentative maceration occurs during alcoholic fermentation, whereas post-fermentative maceration is carried out after this process, associated with orange, amber or skin-contact wines, which have experienced a growing global demand in recent years. In this context, this research aimed to conduct a bibliometric review on pellicular macerations in white wines using two search strategies on the specific platform for the period from 2010 to 2023. Additionally, we sought to identify research trends in this segment of the wine industry through a comprehensive literature review of the retrieved documents. The results emphasized more studies on pre-fermentative pellicular maceration than on long-duration macerations during and after alcoholic fermentation. Alternative maceration techniques, such as grape freezing, were also observed as study subjects, including their effects on final wines. The research identified a wide variety of grapes explored in studies related to pellicular macerations of the Vitis vinifera L. species, with approximately 50 distinct nomenclatures identified. Regarding pre-fermentative macerations, the contact time varied from 2 to 60 h, with the temperature range 1-20 °C. The specific search for extended skin contact white wines revealed a limited number of available documents, indicating that studies related to this product style are promising and necessary, given the growing commercial relevance of this product profile. © 2024 Society of Chemical Industry.

Factors That Influence Online Game Consumer Loyalty Through Consumer Satisfaction

This research aims to analyze the influence of product quality, product features, product style and design, brand image, and brand experience on consumer loyalty in the online gaming industry in the Depok, Bogor, Jakarta, Tangerang, Bekasi (Jabodetabek) area, with consumer satisfaction as an intervention variable. The results of data analysis show that online game product quality does not have a significant influence on consumer satisfaction, and the same thing applies to the direct influence of product quality on consumer loyalty. Online game product features also do not have a direct influence on consumer satisfaction and loyalty. Product style and design do not directly influence consumer satisfaction and loyalty in online games. However, brand image has a direct influence on consumer satisfaction, while brand experience has a direct influence on satisfaction. Consumer satisfaction, in turn, has a positive impact on consumer loyalty. Some factors, such as product quality, product features, and product style and design, may have an indirect influence on loyalty through satisfaction. Therefore, this research provides valuable insights for companies in developing marketing strategies and increasing consumer loyalty in the online gaming industry in the Depok, Bogor Jakarta, Tangerang, Bekasi (Jabodetabek) area.

Analysing Influence of Product Attributes And Customer Characteristics Towards Customer’s Purchase Intention on Edible Cutlery

Plastic waste has become a significant threat and problem to the world, causing many environmental and ecosystem issues. Plastic pollution causes a disturbance towards habitats and interferes with natural processes, reducing the environment's ability to adapt to climate change. Indonesia consumes more than 93 million plastic straws every day, making the country the fourth largest plastic straw-consuming country in the world. Many actions have been taken to solve this problem, one of them being the introduction of edible cutleries, including edible straws. Although the market value for edible straws shows a great opportunity, predicted to reach USD 446.96 in the year 2029, a growth of 113% from 2020, several edible cutlery provider businesses have not been receiving the expected response from the market. Departing from this problem, this research was conducted to identify factors influencing a customer's purchase intention on edible cutlery products. Seventy-eight respondents who have ever consumed any edible cutlery product residing in DKI Jakarta or Kota Bandung were involved in this study. The data was gathered using an online survey in the form of a questionnaire, using Bahasa Indonesia as the survey language. The data was then analyzed by implementing multiple linear analysis methods. The result of the study indicates that psychological factors significantly and positively affect a customer's purchase intention on edible cutleries. On the other hand, product quality, product features, product style and design, cultural factors, social factors, and personal factors do not significantly affect the purchase intention of edible cutlery products of a customer. Moreover, each independent variable for this research simultaneously affects a customer's dependent variable on edible cutlery products.

CrePoster: Leveraging multi-level features for cultural relic poster generation via attention-based framework

Integrating multi-level features of cultural relics into aesthetic posters suitable for social sharing can enhance cultural value dissemination. However, this task meets two major challenges: (i) generating professional captions for cultural relics that encompass color, shape, form, and metaphor details; (ii) combining designers’ expertise and cultural relics’ unique aesthetic features to create visually appealing posters through layout, color, and font selection. Existing methods for poster generation primarily target merchandise or scientific publications. Constrained by product style or traditional design rules, which are unsuitable for cultural relics with multi-level aesthetic features. In this work, we propose CrePoster, an attention-based Cultural relic Poster generation framework that incorporates multi-level feature extraction. Taking Chinese cultural relics as the case study, after the photos are uploaded, CrePoster leverages a large-scale pre-trained image segmentation network to obtain the critical object. Subsequently, a multi-level feature extraction-based caption generator is utilized to generate professional captions. Afterward, an attention-based dual-scale fusion network is employed to represent the aesthetic characters and guide the layout matching. Compared with existing methods, CrePoster can generate higher-quality captions and posters with more aesthetic value.

BIM product recommendation for intelligent design using style learning

Building information modeling (BIM) has been widely adopted in architectural interior design due to its characteristics such as visualization, coordination and simulation. Currently, an increasing number of BIM products are created to facilitate BIM interior design, which triggers new demand for BIM product recommendations to improve design efficiency by directly recommending satisfactory BIM products for designers. Current efforts mainly focus on the text-based BIM product retrieval and ignore the high-level semantic concept of style features. Although style consistency is one of the critical design principles, BIM product recommendation satisfying style consistency remains to be unexplored. This study proposes a novel design recommendation scheme for BIM products using style learning, termed DrStyle. Firstly, a product representative image selection model is designed to identify a representative image retaining the best style of a BIM product. Then, the DrStyle employs a style learning algorithm to extract the style feature vector using the representative image as input. Finally, a BIM product recommendation scheme is proposed to recommend BIM products by computing the similarities of style feature vectors. The performance of the proposed DrStyle was evaluated, and the experiment results showed that the DrStyle achieved an average precision of 68.8% purely using the style. This study complements intelligent design from a novel perspective of style consistency and will inspire more comprehensive intelligent design schemes.

The temperature of newness: How vision–temperature correspondence in advertising influences newness perception and product evaluation

Although studies have shown that background ad imagery can communicate various concepts to consumers, no research has investigated its effects on perceived ambiguity and newness of the advertised product. Drawing on construal level theory, we address this gap by exploring the psychological mechanism of newness perception. Through four studies, it is demonstrated that background ad imagery associated with coldness (vs. warmth) engenders perceptions of the newness of the advertised product (Study 1) as psychological distance enlarged by coldness enhances perceived ambiguity, a key driver of newness perception (Study 2). Moreover, the effect of background ad imagery on perceived newness manifests when the product style is modern (vs. antique) (Study 3) and subsequently improves product evaluation when consumers plan the purchase in the distant (vs. near) future (Study 4). These findings contribute to building a theoretical framework explaining how newness perception is communicated through advertising.

The Influence of Consumer Perceptions on Product Attributes towards Brand Preferences of Alpina Outdoor Sport and Eiger Adventure

Alpina and Eiger are outdoor product pioneers in Indonesia. Initially, Alpina dominated the Indonesian outdoor product market, but it was unable to compete with Eiger. According to the preliminary research findings, more than 50% of respondents claimed that they prefer to buy outdoor products from Eiger over Alpina because Eiger products are superior in terms of product quality, product features, and product style & design. In this study, the independent variables are product attribute variables (product quality, product characteristics, and product style & design), and the dependent variable is brand preference. Data was gathered through interviews, observations, literature studies, and questionnaires completed by 120 people using the judgement sampling approach. Multiple linear regression study results reveal that product attribute dimensions have a positive and significant influence on brand preference simultaneously. According to the coefficient of determination calculation results, the independent variable contributes 45.1% to the dependent variable.

Cultural Product Appearance Design Based on Improved Multiobjective Optimization Algorithm

Cultural creative products are important carriers of cultural heritage and play a very important role in the inheritance, innovation, and dissemination of culture. At present, cultural and creative products emerge in an endless stream with a variety of patterns. No matter in function or form, most of them still follow the traditional design method, and the product style is relatively single, the identification is not strong, and the heat is not enough. Therefore, in the design of cultural and creative products, it is far from meeting the requirements of the flexible and changeable market to only use culture to conform to the consideration of product form. Instead, it should also take into account the personalized and diversified needs of users for products and carry out in-depth practical research on their functionality and imagery. Therefore, this study proposes an improved multiobjective optimization algorithm, combined with the VGG (visual geometry group) model, to study and design the appearance characteristics, color collocation, and design aesthetic feeling of cultural and creative products. This study hopes that through the continuous attempts of cultural and creative product design, people can feel the splendid cultural connotation civilization again and provide new ideas and good for the advanced theme design of traditional Chinese culture.

Research on the post-purchase behaviour tendency of the product quality to customers in fast-selling marketing

Abstract Based on an analysis of the influence of the quality of fast-selling products on customers’ shopping behaviour, this paper discusses the research on the influence of various factors on customers’ shopping behaviour. According to modern scientific methods and literature, theoretical research and social factor analysis, from three angles, namely corporate image, product/service image, and consumer image, six important indicators, such as corporate image, product style and value, consumer characteristics, user’s buying feeling, corporate philosophy and corporate values, are determined, which are the key factors that influence people’s choice behaviour. Considering the key factors in the quality of fast-selling products and the weight of their influence on users’ choice behaviour, according to the development trend of the fast-selling-product industry, this paper provides appropriate guidance on shaping and ensuring the quality of enterprises’ products. Suggestions on image-building and maintenance of fast-selling products are as follows: the image-building of fast-selling products must pay attention to quality, the shaping of brand culture and the practice of brand image communication management.

중국 전통 패치워크의 디자인적 요소를 활용한 복식 디자인 개발

Background/Objectives: This study uses data mining methods for practical research on product design application to identify the importance of the online market in China and design products that ordinary consumers would prefer and purchase. Methods: Data were collected through literature review and field investigation for theoretical research; photographic data were collected in parallel through online museums and onsite photography. For practical research, Python Program was used, and data mining analysis was conducted through term frequency analysis, word cloud analysis, and social network analysis, using consumer evaluation data of patchwork products currently sold in the Chinese online market. Results: First, two factors were identified in the birth of traditional Chinese patchwork: economic factors, which include a shortage of supplies, and social background factors, which denote the spread of the spirit of thrift. Second, fashion products are the most representative online shopping items in China. Comprehensive data analysis performed via data mining through platforms such as Baidu Index and Sina Weibo confirmed that patchwork products include decorative items, tops, and aprons. The keywords for the patchwork product style were "boxy, casual, and modern brands," and the target consumers were young people in their 20s and 30s. Third, according to the results of data mining, doubles were selected as sweatshirts and shirts popular with young people. As for the design of tops was applied with design elements analyzed through research on traditional Chinese patchwork. Conclusion/Implications: The design developed using traditional patchwork was created with a total of five items, three sweatshirt designs and two shirt designs, and the possibility of commercialization of traditional patchwork in the modern fashion market was confirmed through 3D image work after development.

Big Data-Driven Product Innovation Design Modeling and System Construction Method

In order to improve the image quality of innovative design of manufacturing products, reduce the dependence on experts, increase the amount of research data, and accurately sort and select the best alternatives, this paper proposes the KENPI method, which integrates perceptual engineering and neural style transfer, normalizes the content map through nm model, realizes style transfer, and generates new product images. Use ORDD perceptual engineering to collect a large number of perceptual word data, establish product semantic space, use TF-EPA to obtain perceptual words, and use word clustering combined with degree adverbs to evaluate the sensibility of products. Under the KE-GRA-TOPSIS method, considering user preferences, accurately sort and select the product design alternatives with multiple criteria, and establish the auxiliary system of product innovative design. The experimental results show that the style transfer effect of nm model is better, the style intensity of the product is enhanced, and the average texture evaluation of sample 3 is increased by 0.30 points. The average absolute value of DOD phrase in BP neural network is 0.0765, which is lower than the MLR method, and the performance of the former is better than the latter. The relative closeness of A6 scheme under KE-GRA-TOPSIS method is 0.57, which is 0.02 higher than the KT method, indicating that the KE-GRA-TOPSIS method is better than the KT method. The research improves the way of obtaining user demand data, enhances the strength of and product style, and improves the competitiveness of products.

Perancangan Brand Concept “Móta Studio” Dengan Inspirasi Karya dari Tokoh di Era Mid Century Modern

Mid-Century Modern is a style of architecture, product, interior, and graphic design that reflects 20th century developments in modern design. Mid Century Modern style is a combination of many styles and materials, one of which is retro style wrapped with the simplicity of Scandinavian style. Several Scandinavian design elements were applied to the Mid-Century Modern design by displaying clean lines, the use of wood, soft and minimalist organic curves. One of the popular design styles in the Mid-Century Modern era is the Biomorphic form which has a characteristic of curved shape, smooth surface, asymmetrical shape and is oriented towards natural objects and their environment. One of the iconic mid-century design is the La Chaise chair by Charles and Ray Eames, its biomorphic shape inspired by Gaston Lachaise's 'The Floating Figure' sculpture. Through analysis of politic, economy, social and technology and the work of figures in the Mid-Century Modern era, we were able to identify the key concepts, design elements and visual characters of this era, which were then used to determine the concept and design style’s visual character for the brand concept and product collection of Móta Studio.

Analysis of the Effect of Product Quality Factors, Product Style, Product Price, Brand Image, Service Quality and Store Environment against Brand Loyalty of Zara Customers in Surabaya

People in Indonesia are currently very easy to follow the existing fashion trends with a variety of products and fashion models, to complement their appearance every day to make it more attractive and stylish. Currently, in Indonesia, fashion retail has become increasingly diverse with the emergence of new brands starting from domestic brands to foreign brands. One of the foreign retailers that has enlivened the competition between retailers, especially in the fashion sector in Indonesia, is Zara. The purpose of this study was to determine the effect of product quality, product style, product price, brand image, service quality and store environment of brand loyalty. The expected benefits of this research is to increase the repertoire of knowledge in the field of management, especially how large the influence of product quality, product style, product price, brand image, service quality and store environment so asto increase Brand Loyalty for Zara customers in Surabaya. This study is causal. The method used is quantitative methods of processing the data using AMOS. Data was collected by distributing questionnaires to 125 respondents with the characteristics of male and female respondents aged 18-60 years, and has visited Zara’s store at least two years. The results showed that Product Quality with regression coefficient of 0.464; Product Style with regression coefficient of 0.370, Product Price with regression coefficient of 0.723, and Service Quality with regression coefficient of 0.256, positive and significantly affect Brand Loyalty;Brand Image with regression coefficient of 0.044 and Store Environment with regression coefficient of 0.042, positive and not significantly affect Brand Loyalty.

Analysis of the Effect of Product Quality Factors, Product Style, Product Price, Brand Image, Service Quality and Store Environment against Brand Loyalty of Zara Customers in Surabaya

Analysis of the Effect of Product Quality Factors, Product Style, Product Price, Brand Image, Service Quality and Store Environment against Brand Loyalty of Zara Customers in Surabaya

ATRIBUT PRODUK DALAM MENINGKATKAN LOYALITAS PELANGGAN (studi pada Gorontalo Post)

This study uses a quantitative approach emphasizing the analysis on numerical data that is processed by statistical methods. This study aims to determine and analyze the effect of product attributes, including product quality, design, brand, price and service, simultaneously and partially influence customer loyalty in Gorontalo Post newspaper and analyze the dominant variables affecting customer loyalty. The research results obtained are Simultaneously product attributes consisting of product quality, product style and design, product prices, product brands, product services have a positive and significant influence on customer loyalty Gorontalo Post. Partially, each of the independent variables studied, namely product quality, product style and design, product price, product brand, product service has an influence on Gorontalo Post customer loyalty. The dominant indicator in the formation of product quality is the indicator of completeness of news. The dominant indicator in shaping the style and design of Gorontalo Post products is the polite language style indicator. Indicators that have a dominant contribution in product prices are indicators of price conformity with quality. The dominant indicator in shaping the product brand in Gorontalo Post is the easily recognizable brand indicator. The dominant indicator in shaping the Gorontalo Post product service is the Gorontalo Post delivery indicator that is always on time. The product quality variable applied by Gorontalo Post has the most dominant effect on customer loyalty.

Product innovation concept generation based on deep learning and Kansei engineering

Industrial designers often present their initial concepts as design sketches. Rapid creation of new product conceptual images that meet users’ affective preferences remains challenging in real design environments. However, few published works in affective design directly assist industrial designers in creating product conceptual images. Thus, we propose a product concept generation approach framework based on deep learning and Kansei engineering (PCGA-DLKE) to assist industrial designers. Our work focuses on dataset collection, pre-processing, affective preferences recognition, conceptual image generation model and product style transfer networks. To mark users’ affective preferences, we established an affective recognition model by Kansei engineering and deep convolutional neural networks. To address the product conceptual image generation problem, we proposed a product design GAN model (PD-GAN), generating product conceptual images with affective preferences. An improved fast neural style transfer network was successfully trained to meet users’ style preferences. This study aims to assist industrial designers in finding innovative concepts with affective preference. The Kansei evaluation shows that the innovation of the new product concept has been enhanced, indicating that the approach can better assist industrial designers in creating designs that meet users’ emotional needs. Hand drill design and bicycle helmet design are taken as a case study.