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In this modern era, there is so much competition in the business world, especially in the sales industry, that requires shop owners to find a strategy that can increase sales and marketing of the products they sell, one of which is by utilizing clothing sales transaction data using data mining. Data Mining is an iterative and interactive process to find new patterns or models that can be generalized for the future, useful and understandable in a very large database (massive database). In these conditions, good data processing techniques are needed, one of which is data mining techniques. One thing that can be used in this technique is to use the Association rule method using the FP-Growth algorithm, which is an algorithm that produces frequent itemsets which will later be used to determine recommendations for clothing products for the needs of the Siny.co Store. This research uses the RapidMiner Studio application to help process transaction data. This research method uses a minimum support of 20% and a minimum confidence of 80%, thereby creating 9 association rules, where these rules determine several products for recommendation at the Siny.Co Store, including Sashi, Canna, Alice, Tartan, Aruna, Cassandra, Nala, Lalita, and Acio. [ABSTRACT FROM AUTHOR]

In the task of sales forecasting of new clothing products, the lack of historical sales data often necessitates the full utilization of data from other modalities as a supplement. However, multi-modal clothing data are usually redundant and heterogeneous. To solve the problems, a hierarchical multi-modal attention based recurrent neural network ( HMA-RNN) including three main elements is proposed. The hierarchical structure separates high-level semantic information from low-level semantic information to avoid information redundancy. The multi-modal attention ( MMA) is introduced in the fusion stage to mitigate inherent data non-alignment. The shared attention mechanism is utilized to build the dependencies across the multi-modal data. Experimental results on the Visuelle 2.0 dataset show that the proposed approach achieves promising results with 72.07 on the weighted average percentage error (WAPE) and 0. 80 on the mean absolute error ( MAE), outperforming existing works significantly, which indicates the effectiveness of the proposed approach. [ABSTRACT FROM AUTHOR]

This study investigates the influence of Islamic marketing strategies, lifestyle factors, and pricing on pre-loved clothing purchase decisions, mediated by purchase intention. The study employs Structural Equation Modeling (SEM) to analyze data collected through questionnaires distributed to 120 respondents in Banda Aceh City, following a sample size determined by the Hair formula. The findings reveal that purchase intention directly impacts purchasing decisions. Additionally, Islamic marketing strategies, lifestyle factors, and pricing all exert a direct influence on purchase intention. Interestingly, the study identifies that lifestyle factors do not have a significant direct effect on purchasing decisions. Furthermore, the analysis demonstrates that purchase intention partially mediates the relationship between Islamic marketing strategies, lifestyle factors, price, and pre-loved clothing purchase decisions. These results suggest that Islamic marketing strategies can be a valuable tool for businesses operating in the pre-loved clothing market. [ABSTRACT FROM AUTHOR]

A disadvantage to online clothes shopping is the inability to try on clothing to test the fit. A class project is discussed where students consult with the CEO of an online mensware clothing company to explore ways in which an online clothing customer can be assured of a superior fit by developing statistical models based on a shopper's height and weight to predict measurements needed to create a suit that feels custom-made. The dataset is most amenable to use with students who have previously been exposed to simple linear regression, and can be used to explore multiple regression topics such as interaction terms, influential points, transformations, and polynomial predictors. Discussion points are included for more advanced topics such as canonical correlation, clustering, and dimension reduction. [ABSTRACT FROM AUTHOR]

India is a booming market with respect to apparel industry, which gives a huge scope to another niche segment that is the, plus-size readymade apparels. The change in attitudes with respect to body shapes and sizes has led many renowned retailers to throw light on this niche yet promising segment but even after a lot of research and shift in focus there are concerns related to plussize apparel shopping faced by larger than usual sized customers while exploring and buying ready-made apparel under this category. This paper, aims to review previous studies done with regard to exploring and observing various problems, issues or concerns related to fit, size availability, inclusivity (vanity and general sizing), size adjustability and price, faced by plus-size customers while buying, searching and shopping for apparels including branded retailers as well as small homegrown brands popularly advertised on social media handles and promoted by influencers. The researcher aims to understand the beliefs and attitudes of plus size or widely called 'curvy' consumers towards such shopping mechanisms both online as well as offline. Previously written research papers, articles and studies published with respect to plus-size customers, their concerns, pricing and buying behavior are analyzed by understanding various factors affecting plus-size buying. [ABSTRACT FROM AUTHOR]

Indian online marketing is witnessing high growth with it's competitive advantage over the traditional marketing. The raising literacy rate, penetration of the internet and the effective supply chain in both the rural and urban regions is one of the major factors which intensify the online marketing in India. Enormous products such as apparels, mobile phones, books, consumer electronics, footwear, jewellery, fashion accessories etc are seeking by the customers through online. According to the statistics it is observed that the major stake i.e 35% of the business is coming from apparel products only. This study considered the customers who use online avenues for the apparels online purchase. Furthermore, this research paper is emphasised to understand the role of market segmentation of the customers who are purchasing through online based on their psychographic profiles by using VALS which is the short form of Values and Lifestyles. VALS is a way of viewing people on the basis of their attitudes, needs, wants, beliefs and demographics. Moreover, this research work also emphasised to understand the role of cognitive bias with the customers' psychographic segmentation as well as their loyalty towards the online marketing avenues. Finally, this research is intended to determine the moderating role of cognitive bias on customers psychographic segments such as, innovators, strivers, achievers, experiencers, survivors, believers, thinkers and makers over customer loyalty. The results of the study explored the moderating impact of cognitive bias over customer loyalty with respect to the psychographic segmentation of the customers. [ABSTRACT FROM AUTHOR]

Mostly for Indian consumers online shopping has become a way of life, especially in the case of working women. By 2020, the Indian online market is estimated to grow by 3.5 times. The reasons behind these are growing preference of online shopping, internet penetration, ease of shopping, flexible delivery, and increase in number of online retailers and increasing purchasing power of consumers. This study is undertaken to analyze purchase intention of working women in the study area. The study provides detailed analysis on the factors that are impacting the online purchase decision and regarding most preferred online shopping website. Recommendations were provided to the marketers based on the customers’ insight. [ABSTRACT FROM AUTHOR]

This paper aims to identify the antecedents of buying behavior for secondhand clothing among millennials, as well as to determine their underlying causal relationships. Upon a comprehensive literature search, a total of 18 antecedents were found, and these are categorized into three motives, namely, economic, hedonic and recreational, and critical. As a case study in the Philippines, a focus group discussion among experts who are active millennial secondhand clothing users and buyers were tasked to identify the antecedents they have experienced and further confirm those extracted from the literature. To establish the causal relationships of these antecedents, categorize them into net causes or net effects, and address the vagueness associated with the decision-making process, a fuzzy DEMATEL method is used. Results reveal that avoidance of conventional channels proves to be the antecedent providing the highest impact among all other antecedents. Uniqueness, high quality, and fashion trend found to be the antecedents with the highest impacts received, making them the major net effects. Findings from this work hope to provide a framework among practitioners that would lead to a better understanding of millennials' buying behavior for secondhand clothing. [ABSTRACT FROM AUTHOR]

Growing health concerns and being overweight as a result of excessive consumption of soft drink have become a major concern around the world. The primary purpose of this research study is to measure the effect of sports psychology, human behavior, and advertisement on the sale of player's shirts and drinks. This research study uses primary data analysis, collected through a questionnaire including specific questions related to the independent and dependent variables understudy. In this research study, sports psychology, human behavior, and advertisement are consider independent variables, and sales of player's shirts and sales of drinks are the dependent variables. For measuring data analysis, the study uses chi-square analysis, descriptive statistical analysis, regression analysis, leother histogram graphs. According to the overall study results, it has been found that sport psychology shows a positive and insignificant impact on the sale of players' shirts. On the other hand, human behavior is found to have a negative but significant impact on the sale of players' shirts. In other words, sport psychology has a negative effect on the sale of drinks, and human behavior has a positive effect on drinks sales. This study has important implications for marketers and policy-makers concerned with public health in general, and obesity reduction in particular. Through social marketing, soft drink marketers may incorporate obesity-reduction activities. This study proposes a conceptual framework soft drink anti-consumption behavior, emphasizing health concerns and exploring the impact of sociocultural variables on anti-consumption. [ABSTRACT FROM AUTHOR]

In recent years, slow fashion has become a sustainable consumption movement that is the opposite of fast fashion. This study aimed to identify the key factors influencing the U.S. consumers' purchase intentions toward slow fashion apparel. 263 eligible responses were collected via a questionnaire survey. The psychometric properties of the proposed model were examined, and the multiple regression method was applied to test the hypotheses. Attitude, perceived behavioural control, willingness to pay and perceived consumer effectiveness significantly affect U.S. consumers' intentions to purchase slow fashion apparel. Attitude plays a mediating role between consumers' environmental knowledge and their purchase intentions. Female consumers show a more positive attitude toward slow fashion apparel while consumers with a higher income level are more likely to purchase slow fashion apparel. The proposed research model exhibits a good explanatory power, accounting for 55.6% of variance in U.S. consumers' purchase intentions toward slow fashion apparel. [ABSTRACT FROM AUTHOR]

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The aim of the current research is to explore the mediating role of self-gratification and social comparison in explaining the relationship between media objectification and clothing buying behavior in women. For this purpose, correlational research design was employed using 400 female participants within the age ranges of 18-29 selected by convenient sampling. The data was collected using developed questionnaire. The results from Pearson Product Moment correlation highlighted that media objectification (MO) was found to be strongly related with self-gratification (SG), social comparison (SC) and clothing buying behavior (CBB) in women. The results from Path Analysis using AMOS highlighted the mediating role of SC and SG in explaining the relationship of media objectification with women clothing buying behavior. The finding from the study highlighted that besides media objectification in predicting women clothing buying behavior, SC and SG also plays significant roles, these results fills the gaps in the literature pertaining to clothing buying behavior. [ABSTRACT FROM AUTHOR]

Standard models of competition predict that firms will sell less when competitors target their customers with advertising. This is particularly true in mature markets with many competitors that sell relatively undifferentiated products. However, the authors present findings from a large-scale randomized field experiment that contrast sharply with this prediction. The field experiment measures the impact of competitors' advertising on sales at a private label apparel retailer. Surprisingly, for a substantial segment of customers, the competitors' advertisements increased sales at this retailer. This robust effect was obtained through experimental manipulation and by measuring actual purchases from large samples of randomly assigned customers. The effect size is also large, with customers ordering more than 4% more items in some categories in the treatment condition (vs. the control). The authors examine how these positive spillovers vary across product categories to illustrate the importance of product standards, customer learning, and switching costs. The findings have the potential to change our understanding of competition in mature markets. [ABSTRACT FROM AUTHOR]

Many luxury firms have successfully adopted online sales and online sales growth has outperformed offline sales growth. As online luxury sales continue to grow, service expectations in digital and instore channels are also expected to grow. To add to the research literature, the top performing 46 luxury apparel and accessories websites identified in the Luxury e-Commerce Report from Internet Retailer were content analyzed to determine the state of the art in top performing luxury retail websites in providing needed information (international customer service attributes). Those top performing websites were then compared to 44 randomly selected similar websites on the same attributes to determine how the two groups of websites compared in terms of international customer service attributes. Although top performing luxury retail websites are providing important customer service information that facilitates online purchasing, there is room for improvement. In comparing the two groups of online luxury merchants, each group had strengths and weaknesses. Overall, merchants performed at a suboptimal level on provision of many customer service attributes, need improvement on others, and performed well on a few attributes. These luxury fashion online retailers are at an early stage in providing important customer service attributes on their websites. [ABSTRACT FROM AUTHOR]