• Journal of Distribution Science
• /
• v.21 no.4
• /
• pp.121-129
• /
• 2023

Purpose: Market basket analysis is one of the most frequently used methods in the retail industry today as a technique to discover the product association. It is empirically analyzed how these product associations differ regionally in the case of the United States. Research design, data, and methodology: Based on the purchasing data of consumer panels collected from 49 US states, the association rules for each state was extracted with the corresponding lift values indicating product association. The difference in lift values in 49 states by the association rule was compared and tested for 49 states and for 4 census regions (Northeast, Midwest, South, West). Results: The association rules of 3/4 of the same association rules show positive associations or negative associations depending on the lift values of the states. There were significant differences in the lift values for 49 states, and for 4 census regions. These significant differences in the lift values were found to be related to the distance between states and whether states belong to the same census region. Conclusions: Retail product associations shown by market basket analysis may vary depending on regional distance or regional heterogeneity. It is necessary to pay attention to these points in multi-store environment.

• Journal of Intelligence and Information Systems
• /
• v.23 no.3
• /
• pp.29-44
• /
• 2017

In Internet commerce, consumers are heavily influenced by product reviews written by other users who have already purchased the product. However, as the product reviews accumulate, it takes a lot of time and effort for consumers to individually check the massive number of product reviews. Moreover, product reviews that are written carelessly actually inconvenience consumers. Thus many online vendors provide mechanisms to identify reviews that customers perceive as most helpful (Cao et al. 2011; Mudambi and Schuff 2010). For example, some online retailers, such as Amazon.com and TripAdvisor, allow users to rate the helpfulness of each review, and use this feedback information to rank and re-order them. However, many reviews have only a few feedbacks or no feedback at all, thus making it hard to identify their helpfulness. Also, it takes time to accumulate feedbacks, thus the newly authored reviews do not have enough ones. For example, only 20% of the reviews in Amazon Review Dataset (Mcauley and Leskovec, 2013) have more than 5 reviews (Yan et al, 2014). The purpose of this study is to analyze the factors affecting the usefulness of online product reviews and to derive a forecasting model that selectively provides product reviews that can be helpful to consumers. In order to do this, we extracted the various linguistic, psychological, and perceptual elements included in product reviews by using text-mining techniques and identifying the determinants among these elements that affect the usability of product reviews. In particular, considering that the characteristics of the product reviews and determinants of usability for apparel products (which are experiential products) and electronic products (which are search goods) can differ, the characteristics of the product reviews were compared within each product group and the determinants were established for each. This study used 7,498 apparel product reviews and 106,962 electronic product reviews from Amazon.com. In order to understand a review text, we first extract linguistic and psychological characteristics from review texts such as a word count, the level of emotional tone and analytical thinking embedded in review text using widely adopted text analysis software LIWC (Linguistic Inquiry and Word Count). After then, we explore the descriptive statistics of review text for each category and statistically compare their differences using t-test. Lastly, we regression analysis using the data mining software RapidMiner to find out determinant factors. As a result of comparing and analyzing product review characteristics of electronic products and apparel products, it was found that reviewers used more words as well as longer sentences when writing product reviews for electronic products. As for the content characteristics of the product reviews, it was found that these reviews included many analytic words, carried more clout, and related to the cognitive processes (CogProc) more so than the apparel product reviews, in addition to including many words expressing negative emotions (NegEmo). On the other hand, the apparel product reviews included more personal, authentic, positive emotions (PosEmo) and perceptual processes (Percept) compared to the electronic product reviews. Next, we analyzed the determinants toward the usefulness of the product reviews between the two product groups. As a result, it was found that product reviews with high product ratings from reviewers in both product groups that were perceived as being useful contained a larger number of total words, many expressions involving perceptual processes, and fewer negative emotions. In addition, apparel product reviews with a large number of comparative expressions, a low expertise index, and concise content with fewer words in each sentence were perceived to be useful. In the case of electronic product reviews, those that were analytical with a high expertise index, along with containing many authentic expressions, cognitive processes, and positive emotions (PosEmo) were perceived to be useful. These findings are expected to help consumers effectively identify useful product reviews in the future.

• The Research Journal of the Costume Culture
• /
• v.24 no.3
• /
• pp.324-335
• /
• 2016

The fashion product image preference changes depending on one's lifestyle and personal inclination. Women want to show the fashion product image preference, often through their clothing and makeup choices. Brand image includes those elements related to the brand. Advertising is the primary method for introducing brands. This study was conducted to investigate the effects of fashion product image preference on emphasis of brand image and advertising factor evaluation targeting working women in their 20s and 30s. The fashion product image preference was s sophisticated image. Preference for a sophisticated image has a significant effect on emphasis of brand image when selecting fashion products. Emphasis of brand image has a notable effect on the brand direct advertising factor evaluation. Fashion product image preference has a significant effect on both brand's direct and indirect advertising factor evaluation. When selecting a fashion product (clothing and cosmetics), brand image importance was found to have a positive effect on a brand's direct advertising factor evaluation. Therefore, fashion companies should take advantage of their brand logo. Companies should also pay attention to clothing and product containers used in advertising to show the brand. In addition, every company should create an advertising image that represents their overall brand, by using a combination of detailed advertising factor evaluation.

• Journal of Pharmaceutical Investigation
• /
• v.24 no.4
• /
• pp.233-243
• /
• 1994

Precipitation was formed during the preparation of decoction from a mixture of Scutellariae Radix and Coptidis Rhizoma or Phellodendri Cortex according to the prescription of Hwang-ryean-hae-dog-tang. Baicalin and berberine were identified in coprecipitated product and these components were the active ingredients of two herbal medicine. The coprecipitated product was very slightly soluble in water and sparingly soluble in ethanol. The stoichiometric ratio of baicalin and berberine was found to be 1:1. The lipid-water partition coefficients of coprecipitated product were increased more than baicalin and berberine in chloroform, but were decreased in other organic solvents. The content of baicalin and berberine in coprecipitated product, determined by HPLC, were 23.08% and 26.75%, but the content of active ingredients in supernatant were 0.66% and 0.26%, respectively. The dissolution profile of baicalin of coprecipitated product was increased more than extract of Scutellariae Radix in artificial gastric juice, but was decreased in artificial intestinal juice. The dissolution rate of berberine of coprecipitated product was lower than extract of Coptidis Rhizoma in artificial gastric juice and intestinal juice commonly.

• Journal of the Korean Society of Clothing and Textiles
• /
• v.38 no.4
• /
• pp.467-481
• /
• 2014

This study examined consumer responses of photos used in Internet shopping malls. The content analysis conducted a preliminary study of the top 100 online shopping malls to investigate current website practices. Stimuli based on the preliminary study. The present study was a $2{\times}2$ factorial design that evaluated two independent variables of product presentation and background. We analyzed 410 responses derived from the descriptive analysis, factor analysis, and covariance analysis through SPSS 20.0. The results showed that a product presentation was significantly different in attractiveness, informativeness, satisfaction, and repurchase intention after controlling apparel items and model. This product presentation in everyday life had greater mean values than product presentation with the posing model. The background had a significant mean difference in all consumer responses expect for attractiveness. Overall product presentation in everyday life and indoor cases were evaluated as most positive by the respondents. The findings provide practical implications for online shopping malls integrating product presentation.

• Journal of Information Technology Application
• /
• v.3 no.4
• /
• pp.119-134
• /
• 2001

Improving software product quality is a key to increasing user satisfaction and to achieving competitive edge. There are two approaches to assure high software product quality; development process-oriented and product-oriented. There have been many efforts for improving software quality through process certification, for example, CMM, ISO 9000 family, ISO/IEC 12207, SPICE and Bootstrap. However, a good process alone cannot guarantee good product quality. A need for the evaluation of software product quality by an independent third party is growing rapidly for several reasons. We are concerned with an application of Statistical Quality Control (SQC) to the evaluation of software product quality to obtain the efficiency of evaluation processes and the objectivity of evaluation results. Methods for selecting test cases using a random sampling approach have been discussed and methods for selecting acceptance criteria with respect to software product quality have also been suggested.

• Proceedings of the Korean Operations and Management Science Society Conference
• /
• 1989.10a
• /
• pp.108-125
• /
• 1989

A new product development is critical to the growth and success of most business firms. Increasingly, the new product development is recognized as an essential component of the corporate plan. But, relatively few research investigations have focused on the elements of a new product development strategy and its performance results. This study aims to identify the patterns of new product development strategy which business firms adopt, and its performance results. To identify these patterns and results, 268 firms in four industries known to be active in new product development were selected as a matter of convenience, and surveyed by the questionnaire and interviews. The questionnaire is composed of 67 strategy variables, 8 performance variables, and other variables. To analyze the data from samples, various statistical methods such as factor analysis, Pearson correlation analysis, sluster analysis, and one-way ANOVA were employed. This analysis brought forth the following major findings: First, three new product development strategy patterns were identified. Each strategy pattern was proved to be different from the others in terms of group of strategy elements that were adopted. Second, the new product development strategy was closely linked to its performance. Third, the difference of performance results among strategy groups in each industries was rather significant, however, the performance difference among industries in each strategy group was less significant.

• Journal of the Korean Society of Costume
• /
• v.51 no.1
• /
• pp.61-74
• /
• 2001

This study is designed to examine the consumer behaviors affected by the product quality and the service quality in the garment industry. First of all, it is researched to recognize the differences in the mean of perceived product quality variables and the service quality variables in apparel stores. Secondly, the variables of the product quality and the service qualify are also investigated to see the casual effects in the consumer satisfaction and consumer repurchase intention, respectively. The 522 data, surveyed from the female college students, were analaysed with SPSS 8.0 version. Cronbach $\alpha$Frequency, Factor analysis, one-way ANOVA, Scheffe test, stepwise regression were applied. In conclusion, there are significant differences in the mean of the product quality variables and the service quality variables in the apparel stores. They are the product quality variables such as physical attribute and instrumental performances and the service quality variables regarding sales staff, VMD, store policy, and customer convenience in the apparel stores. The variables of the product quality and the service quality directly have leverage in the consumer satisfaction and repurchase intention.

• Journal of the Korean Society of Clothing and Textiles
• /
• v.28 no.1
• /
• pp.12-21
• /
• 2004

The purposes of this research were (1) to identify service quality and apparel quality in apparel stores, (2) to examine the influence of service quality, product quality and price on customer satisfaction, (3) to examine the influence of service quality, product quality, price and customer satisfaction on repurchase intention that is important feature of store patronage. The data was collected from 435 female students, career women, and house wives using questionnaire and analyzed by frequency analysis, factor analysis, reliability analysis and regression. The results of this research were as follows: (1) Service quality in apparel stores was divided into six factors: facilities and policy/ salesperson VMD/ after service/ impression and atmosphere/ promotion. (2) Product quality was divided into four factors: objective feature/ expressive feature/ wearing sensation/ fitness. (3) Service quality, product quality, price influenced customer satisfaction. (4) Product quality, price and customer satisfaction influenced repurchase intention directly, but service quality influenced repurchase intention indirectly. (5) Service quality factors that influenced customer to have repurchase intention were facilities and policy, salesperson, and VMD. (6) Product quality factors that influenced customer to have repurchase intention were objective feature and wearing sensation.

• Proceedings of the CALSEC Conference
• /
• 2003.09a
• /
• pp.54-59
• /
• 2003

The information sharing is essential to make collaboration by participants in the collaboration environment. The sharing of the information is necessary to reduce time-to-market of new Product. In this paper, V2-model is proposed far supporting the sharing of the information on product development. V2-model supports collaborative product development in design and supply chain. Through viewpoints, V2-model supports 1) two-level structure that consist of private level and public level ,2) level-up process and 3) product development process. The public level information supports to share the product information on collaborative supply chain and design. The viewpoints in V2-model are divided into public viewpoints that point to the public level information and private viewpoints that point to the private level information. Private viewpoints are transformed into public viewpoints. The extended Topic Map has B-Topic, S-Topic and View for representing V2-model in this paper. The level-up process of V2-model is implemented through the merging of S-Topics. V2-model is implemented with washing machine model using extended Topic Maps. In this model, the public viewpoints and private viewpoints are represented and the level-up process, which transforms private viewpoints into public viewpoints, is implemented.