• International Journal of Computer Science & Network Security
• /
• v.24 no.7
• /
• pp.45-54
• /
• 2024

Ingrained in multiple consumption theories, this research covers the seven determinants (Hedonic Consumption, Consumers' mood, Store layout, product promotion, Persons' situation, Materialism, and Product Attributes) of purchase intentions of a consumer. For this study, 384 offline shoppers were surveyed and found that out of seven, six determinants significantly trigger impulse buying behavior of customers of beauty products in a modern market setting while one determinant 'Materialism' did not have any influence on the impulse buying behavior. The relationships of the variables were statistically checked by multiple linear regression. Results of this study show that a consumer's mood has a significant impact on impulse buying as it can trigger the impulse behavior of consumers. Person situations also have a positive impact on impulse buying it means time, money, fear of missing out can active impulse buying. Store layout can also trigger that unplanned purchase which means store lighting, the music of the store, ambiance may affect the purchasing. Product promotion has an impact on spontaneous purchase which indicates that free coupons, discounts, free delivery, offers to attract the customer to sudden purchase. Product design, packaging, color, labeling indicate a positive and significant impact on impulse buying. However, materialism indicates an insignificant impact on impulse buying.

• Journal of Information Technology Applications and Management
• /
• v.27 no.1
• /
• pp.173-186
• /
• 2020

This study examines the effect of congruity between product and TV reality show on purchase intention of Chinese consumers. A total of 110 respondents from Chinese consumers were collected using online surveys. The results were analyzed by SPSS 22.0. Multiple Linear Regression and process analysis were used to test the hypotheses. This article found that congruity between product and TV reality show, attitude toward product placement and recall of product affected consumers' purchase intention. In addition, the frequency of consumer watching TV reality show and familiarity of product moderated the attitude toward product placement and recall of product. This study provides useful implications for sponsors to select product placement as one of their marketing promotion tool.

• Design & Manufacturing
• /
• v.15 no.1
• /
• pp.48-56
• /
• 2021

The quality of products produced by injection molding process is greatly influenced by the process variables set on the injection molding machine during manufacturing. It is very difficult to predict the quality of injection molded product considering the stochastic nature of manufacturing process, because the process variables complexly affect the quality of the injection molded product. In the present study we predicted the quality of injection molded product using Artificial Neural Network (ANN) method specifically from Multiple Input Single Output (MISO) and Multiple Input Multiple Output (MIMO) perspectives. In order to train the ANN model a systematic plan was prepared based on a combination of orthogonal sampling and random sampling methods to represent various and robust patterns with small number of experiments. According to the plan the injection molding experiments were conducted to generate data that was separated into training, validation and test data groups to optimize the parameters of the ANN model and evaluate predicting performance of 4 structures (MISO1-2, MIMO1-2). Based on the predicting performance test, it was confirmed that as the number of output variables were decreased, the predicting performance was improved. The results indicated that it is effective to use single output model when we need to predict the quality of injection molded product with high accuracy.

• KSII Transactions on Internet and Information Systems (TIIS)
• /
• v.16 no.5
• /
• pp.1561-1583
• /
• 2022

Context: Testing is one of the techniques that can assure the quality of software including the domain of Software Product Line (SPL). Various techniques have been deliberated to enhance the quality of SPL including Model-based Testing (MBT). Objective: The objective of this study is to analyze and classify trends of MBT in SPL covering the solutions, issues and evaluation aspects by using taxonomy form. Method: A Systematic Literature Review (SLR) was conducted involving 63 primary studies from different sources. The selected studies were categorized based on their common characteristics. Results: Several findings can guide future research on MBT for SPL. The important finding is that the multiple measurements are still open to improving current metrics to evaluate test cases in MBT for SPL. The multiple types of measurement required a trade-off between maximization and minimization results to ensure the testing method which could satisfy multiple test criteria for example cost and effectiveness at the same time.

• Journal of the Korean Society of Costume
• /
• v.51 no.3
• /
• pp.51-58
• /
• 2001

The purpose of this study was to investigate the effects of store image preferences on clothing impulse purchasing of male college students. The sample included 290 male college students, and an instrument was developed based on the previous studies. The statistical analyses used for this study were factor analysis and multiple regression. The result of factor analysis showed that store image preferences consisted of five factors : promotion, display, service, product, brand preferences. Clothing impulse purchasing consisted of product-driven impulse purchasing, situation-driven impulse purchasing, emotion-driven impulse purchasing. Multiple regression revealed that there were significant effects of store image preferences on dimensions of clothing impulse purchasing. For example, promotion preference factor had a positive impact on product-driven impulse purchasing and situation-driven impulse purchasing, but had a negative impact on emotion-driven impulse purchasing. The relative importance of store image preference factors were different according to different dimensions of clothing impulse purchasing.

• Journal of Korean Society for Quality Management
• /
• v.12 no.2
• /
• pp.25-32
• /
• 1984

The purpose of this paper is to compare several forecasting methods for the case of the cement product by the analysis of the forecasting data and by the study of major forecasting methods, which are the Trend Projection, Exponential Smoothing, and Multiple Regression Analysis. As a result, it is thought that the Multiple Regression Analysis is the optimal model for the case of the cement product. In addition, it is important to consider the future circumstances for forecasting, and to improve the level of the forecasting results through the precise analysis of the collected data.

• Communications for Statistical Applications and Methods
• /
• v.8 no.3
• /
• pp.685-696
• /
• 2001

Robust design is an approach to reducing performance variation of response values in products and processes. In the Taguchl parameter design, the product-array approach using orthogonal arrays is mainly used. However, it often requires an excessive number of experiments. An alternative approach, which is called the combined-array approach, was suggested by Welch et. al. (1990) and studied by others. In these studies, only single response variable was considered. We propose how to simultaneously optimize multiple responses when there are correlations among responses, and when we use the combined-array approach to assign control and noise factors. An example is illustrated to show the difference between the Taguchi's product-array approach and the combined-array approach.

• Journal of Korean Society of Industrial and Systems Engineering
• /
• v.18 no.34
• /
• pp.35-42
• /
• 1995

In the plastic extrusion process, product quality is influenced by work condition for temperature of cylinders and dies. The work conditions are various, so it is difficult to standardization of the work conditions. Therefore, the work conditions are depended on the workers of experience and skill. In the plastic extrusion process, it has five control heating points on the cylinder and three control heating points on the die. In addition, there is one control point on the extrusion process. It is extrusion speed. In this case, we don't know how these affect product quality. We structure the multiple linear regression equation with the temperature of cylinders and dies as independent variables and the product weight as dependent variable. We solve this equation using statistic computer package named Juse-Qcas.

• Journal of the Korea Safety Management & Science
• /
• v.18 no.4
• /
• pp.185-193
• /
• 2016

Now, many studies of industrial field are focusing on the whole optimization of SCM. But, the reason for making simultaneity of the whole system of SCM difficult is reduced scale of studies on ordering area in SCM reducing the complexity. It's an important issue how to allocate orders in the environment of many suppliers under special situation. Through this thesis, this research intends to expect systematic and arranged supply of distribution area which can make a decision while allocating product orders and quantity and maintaining service standard suggested by minimizing total purchase costs.

• International Journal of Precision Engineering and Manufacturing
• /
• v.1 no.1
• /
• pp.133-145
• /
• 2000

Plastic molding designers are frequently faced with optimizing multiple defects in injection molded parts. these defects are usually in conflict with each other, and thus a tradeoff needs to be made reach a final compromised solution. In this study, an automated injection molding design methodology has been developed to optimize multiple defects of injection molded parts. Two features of the proposed methodology are as follows: one is to apply the utility theory to transform the original multiple objective optimization problem into single objective optimization problem with utility as objective function, the other is an implementation of a direct search-based injection molding optimization procedure with automated consideration of process variation. The modified complex method is used as a general optimization tool in this research. The developed methodology was applied to an actual molding design and the results showed that the methodology was useful through the CAE simulation using a commercial injection molding software package. Applied to production, this study will be of immense value to industry in reducing the product development time and enhancing the product quality.