• International Journal of High-Rise Buildings
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• v.7 no.2
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• pp.171-183
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• 2018

Turner and Penn (1) from UCL have proved that Visibility Graph Analysis (VGA) can be used as a more accurate method to predict the pedestrian distribution in building spaces. However, this methodology neglects certain elements that are of special influence on pedestrian distribution in buildings, especially the entrances and exits. Based on Space Syntax, this dissertation improves on the traditional method of Visibility Graph Analysis, using three shopping centers in Shenzhen as examples, attempts to explore a new parameter - "attenuation index of pedestrians at the entrances and exits" - using relevant data of the entrances and exits of the three cases, and combines it with traditional VGA analysis through weighted calculation, in order to provide more accurate predictions of pedestrian patterns in shopping centers.

• Journal of the Economic Geographical Society of Korea
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• v.22 no.4
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• pp.576-591
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• 2019

This study attempts to analyze the effects of distance-accessibility to the complex shopping mall of 'Lotte Mall-Suwon', located at the old central and catchment district of the Suwon station in the Province of Gyeonngi, on the prices of its neighboring apartments within the Gwonseon-gu of Suwon City by using the hierarchical and linear-difference in difference regression method. The results of the analysis are as follows. First, before construction the effects of distance-accessibility show the U-shaped pattern, suggesting that the negative external effects of noise and traffic congestion around the Suwon Station affected the prices of its neighboring apartments within the Gwonseon-gu of Suwon City. Second, the effects of distance-accessibility at different times, such as the construction period and after the opening, are statistically significant only in the latter, indicating the reverse U-shaped pattern unlike before the opening. This means that after the opening of the complex shopping mall its external effects as a leisure and convenience space have a positive effect on the prices of its neighboring apartments within the Gwonseon-gu of Suwon City. Third, the effects of distance-accessibility is at an inflection point around 1.6-1.7 kilometers, which means that the U-shaped distance-decay pattern before construction, while the reverse U-shaped pattern is shown after the opening of opening. The latter implies that apartments that are very close to the mall within the Gwonseon-gu of Suwon City enjoy relatively small positive externalities. Therefore, they are exposed to some negative external effects of noise and traffic congestion, but apartments with some distance apart within the Gwonseon-gu of Suwon City maximize those positive externalities. These results suggest that the effects to distance-accessibility are different from location to location.

• Journal of Intelligence and Information Systems
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• v.11 no.2
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• pp.1-15
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• 2005

The explosive growth of the Internet leads to various on-line shopping malls and active E-Commerce. however, as the internet has experienced continuous growth, users have to face a variety and a huge amount of items, and often waste a lot of time on purchasing items that are relevant to their interests. To overcome this problem the comparison shopping systems, which can help to compare items' information with those other shopping malls, have been issued as a solution. However, when users do not have much knowledge what they want to find, a keyword-based searching in the existing comparison shopping systems lead users to waste time for searching information. Thereby, the performance is fell down. To solve this problem in this research, we suggest the Comparison Shopping System using Image Retrieval based on Semantic Web. The proposed system can assist users who don't know items' information that they want to find and serve users for quickly comparing information among the items. In the proposed system we use semantic web technology. We insert the Semantic Annotation based on Ontology into items' image of each shopping mall. Consequently, we employ those images for searching the items instead of using a complex keyword. In order to evaluate performance of the proposed system we compare our experimental results with those of Keyword-based Comparison Shopping System and simple Semantic Web-based Comparison Shopping System. Our result shows that the proposed system has improved performance in comparison with the other systems.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.14 no.1
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• pp.148-167
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• 2020

Today, digital shoppers express increasingly complex buying behavior. They can use multiple channels for shopping and also they can switch from one to another channel almost effortlessly, in the result of engaging in omnichannel shopping behavior. A few years ago, consumers were using brick and mortar stores to make their purchases. However, nowadays, they possess different digital devices (mobile and/or desktop) to search for different alternatives and to make a better shopping choice. These devices (mobile and desktop) are different and offer unique benefits to consumers. However, there has been very little research that has treated mobile and desktop devices separately. Perhaps this study is the pioneer when it comes to investigating the effect of regulatory focus (prevention vs. promotion) and chronotype (morning and evening person) on a sample of university students using desktop and mobile channels for their shopping. The findings from a sample of 312 digital consumers (mobile and/or desktop) confirmed that the desktop channel provides a greater fit for morning-type respondents and that the mobile channel offers better value for evening-type respondents in e-retail. Furthermore, promotion-focused shoppers favor the mobile channel, and prevention-focused shoppers favor the desktop channel. The new insights and contributions of this study provide a better understanding of digital consumers to help sellers to develop a more effective e-retail strategy.

• Journal of Distribution Science
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• v.18 no.3
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• pp.5-14
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• 2020

Purpose: Trust plays an important role in e-commerce because consumers perceive more risk involved with this type of shopping than traditional way of shopping. Trust is defined as complex and multidimensional issue. This paper argues that trust should be considered to have two important components as trust belief and trust intention, in which trust belief has three components as competence, integrity and benevolence. Research design, data and methodology: This study examines the relationship between retailer website quality (web design, navigation, information), reputation and risk toward trust. In addition, trust and risk toward buying behavior are also considered, leading to customer satisfaction. The paper is conducted on a sample of 594 customers with direct experience of online shopping in Vietnam. Both confirmatory factor analysis (CFA) and a structural equation model (SEM) were utilised. Results: Empirical findings from this paper indicate that trust is high order construct. Website quality and reputation have positive impacts on customers' trust. Trust has a positive relationship to buying behavior and customers' satisfaction while perceived risk has negative relationship to buying behavior. In contrast, a relationship between perceived risk and trust is not supported in this study. Conclusions: Improving reputation and website quality (especially information) may increase customers' trust and eventually lead to purchase decision.

• Journal of Distribution Science
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• v.15 no.6
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• pp.5-12
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• 2017

Purpose - This study is to investigate the effects of consumption values of retailers on the importance of store attributes, and to determine the influence on the consumption values of consumers who shop at complex shopping malls on the empirical and functional attributes in those malls as well as on the influence of on/off-line channels. Research design, data, and methodology - With 344 surveyed questionnaires, this study was conducted by using SPSS 22.0 to verify the reliability and validity of the measured variables. Structural equation model (SEM) was employed as a statistical method for the hypotheses test of this study. Results - The results showed that hedonic value has more influence on the importance of empirical attribute than that of functional attribute in shopping malls. In addition, practical value has more influence on functional attributes than empirical properties of shopping malls. However, these relationships showed the difference in on/off-line channels. As for off-line channels, consumers' consumption values were more influential on empirical attributes, while functional attributes were more important in on-line channels Conclusions - This study analyzed the influence on the importance of the consumption values in store attributes, and the effects of each channel with suggesting practical implications.

• Science of Emotion and Sensibility
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• v.20 no.2
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• pp.59-72
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• 2017

In the flood of information, many consumers want to choose the style that is suitable for their sensibility, which is usefulness and need for personalized services have been steadily increasing. This study made a video of personalized internet shopping mall and then university students (N=170) who have been using the internet shopping mall were asked to experience this and the change in consumer response was measured. According to level of personalization, this study found difference of web-site evaluation, satisfaction/internet behavior and quality evaluations of products. With regard to preferred types of internet shopping malls and the number of access, the difference was investigated. The results are as follows. First, subjects who experienced internet shopping mall of active personalization showed higher level of active personalization. Level of passive personalization differed depending on preferred types of internet shopping malls, for example, people who prefer online apparel shopping mall were low but people who prefer complex big shopping mall and social commerce were high. Second, after experiencing internet shopping mall of active personalization, satisfaction/internet behavior and quality evaluations of products did not change but passive personalization decreased and active personalization and web-site evaluation increased. Third, the number of access to internet shopping mall positively correlated with satisfaction/internet behavior and web-site evaluation, on the other hand, active personalization negatively correlated with satisfaction/internet behavior and web-site evaluation.

• Proceedings of the Korea Society of Design Studies Conference
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• 2005.05a
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• pp.116-117
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• 2005

• Korean Institute of Interior Design Journal
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• v.14 no.1
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• pp.81-90
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• 2005

This study was intended to suggest the design guidelines of digital home on the basis of digital-related human behavior. In order to achieve this, what and how often internet was used in the home, how living pattern and space usage was changing according to digitalization were examined and lastly, the design guidelines of digital home based on these findings were suggested. The subjects were 400 housewives who lived In 85m'-sized housing unit of the new apartment complex in Busan. They were average age of 38 and their eldest children were in the stage of elementary schooling or preschooling. Many of them had relatively high educational level and middle income level. The results of the study were as follows; 1) The respondents used internet more frequently for information searching, children's education, and Internet shopping. Therefore, it would be desirable to divide zoning of housing unit into space for routine activities, space for working, and for cultural activities. 2) Digitalization changed human living pattern like follows; it reduced time of shopping, information searching, banking, and going out. Also, it increased time of spending alone, watching movie, and playing game. Therefore, digital home should be designed to facilitate social Interaction between family members, cultural and recreational activities, and indoor or outdoor exercise within each housing unit or in apartment complex.

• Journal of Korean Society of Occupational and Environmental Hygiene
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• v.23 no.4
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• pp.323-332
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• 2013

Objectives: This study was conducted in order to investigate the diesel exhaust particle(DEP) concentrations in the thirteen parking lots of large shopping complex. Methods: The real-time black carbon(BC) concentration was determined using an Aethalometer, and elemental/organic carbon concentration was determined according to the method of the National Institute for Occupational Safety and Health(NIOSH) 5040. The particle number concentration(NC), lung deposited surface area concentration(LDSA) and geometric mean diameter(GMD) were determined using a DiSCmini aerosol monitor. Results: The average concentration of BC, EC, OC, NC, LDSA and GMD were $19.1{\mu}g/m^3$, $12.6{\mu}g/m^3$, $51.5{\mu}g/m^3$, $94,000particles/cm^{-3}$, $298{\mu}m^2/cm^{-3}$ and 57 nm in all parking lots, respectively, approximately 3-fold higher than those found in the urban outdoor. The average concentration of BC were $21.3{\mu}g/m^3$ in underground parking lots, 3-fold higher than above parking lots. Conclusions: Therefore, the parking lots at the large shopping complex can be considered a potentially dangerous environment with a high concentration of DEP nanoparticles.