• The Journal of Industrial Distribution & Business
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• v.13 no.10
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• pp.9-14
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• 2022

Purpose: With the rapid development of China's e-commerce industry, the express delivery industry is also advancing by leaps and bounds. While express brings convenience to people's life, a large number of express packages are disposed of at will, which not only increases a large amount of domestic waste, but also causes environmental pollution and waste of resources. Therefore, express packaging recycling has become a consensus in all fields of society. Research design, data and methodology:According to the characteristics of express packaging recycling, other variables were introduced into the TPB model proposed by AJZEN, and based on previous literature research and research assumptions, a model of influencing factors of consumer behavior in express packaging recycling was constructed. Results: The results show that in addition to reward factors, other factors have a significant positive impact on the respondents' willingness to recycling. Conclusions: In order to enhance consumers' willingness to recycle express delivery and effectively carry out express packaging recycling, the following suggestions are put forward: the government should formulate a comprehensive express delivery recycling policy, strengthen policy publicity, and standardize consumers' express packaging recycling behavior. Improve consumers' awareness of express packaging recycling, and promote the increase in the scale of express packaging recycling.

• Journal of Distribution Science
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• v.13 no.5
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• pp.15-22
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• 2015

Purpose - Transparency, seller reputation, and website security are considered to be important factors that influence online customer purchasing decisions in China. This paper empirically examines the relative influence of Taobao.com on customers' online purchasing decisions. Research design, data, and methodology - We perform structural equation analysis, with a sample of 306 observations. The data comes from consumers' real transaction experiences from a specific website. This gives the results of our study more generalizability than studies using subjects who are not asked to engage in real transactions. Results - The results of this study reveal that perceived security and perceived reputation are critical factors affecting consumer trust and perceived transparency is most closely associated with purchase intention. Conclusions - The findings suggest that perceived transparency plays a significant role in increasing online consumer's purchase intention. The knowledge of the relative impacts of these factors and their roles in the customer transaction experience will be useful in developing customized sales strategies. The results of this study reveal that perceived transparency exerts a stronger effect than perceived reputation on consumer purchase intentions.

• The Journal of Industrial Distribution & Business
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• v.5 no.4
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• pp.5-11
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• 2014

Purpose - This paper examines Kazakh women's spending patterns and buying behavior. Research design, data, and methodology - After thoroughly reviewing the related literature on consumer behavior in general, and female consumer behavior in particular, both questionnaires and in-depth personal interviews were used to collect data from 400 Kazakh women consumers equally chosen from the age groups 20-30, 30-40, 40-50, and above 50. Results - A stratified and convenient sample was employed, and the selected five hypotheses were proved using the Karl Pearson Coefficient of Correlation. Related to spending patterns, 40 and 35 percent of the 20-30 and 30-40 age groups, respectively, of Kazakh women spend their incomes on personal items, as against 30 percent from both the 40-50 and 50 and above age groups. Twenty-five and 35 percent of the 40-50 and 50 and above age group, respectively, take decisions based on product quality, whereas this percentage is at its mite in the below 40 age group. Conclusions - The buying behavior of Kazakh women consumers is revealed; the results proffer useful background information to formulate marketing strategies.

• Journal of Distribution Science
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• v.19 no.10
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• pp.55-64
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• 2021

Purpose: This study empirically validates a research framework encompassing predictors hypothesized to affect the participation in sharing economy on O2O retail platforms. Research design, data, and methodology: The study examines the role of consumers' social capital and consumer citizenship as a net promoter of retail sales increase of sharing economy products. Using a convenience sampling method, this study used a questionnaire survey method to collect data from 400 adult consumers with previous experience of sharing economy who reside in the metropolitan areas of Seoul and Kyonggi Province, Korea. This study applied structural equation modeling to verify the structural relationships proposed as research hypotheses. Results: The study found a significant impact of social capital on sharing economy participation and the impact of consumer citizenship on sharing economy participation in retail settings. This study also confirmed that social identity and corporate image mediated the relationship between social capital (and citizenship) and sharing economy participation. Conclusions: The study results are expected to contribute to further understanding of the sharing economy's key success factors. The study results offer significant strategic implications for retail platform operators and individual retail operators of sharing economy.

• Journal of Internet Computing and Services
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• v.8 no.6
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• pp.9-19
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• 2007

Superdistribution service of DRM system is an essential part for revitalization of digital contents distribution. However, it limits superdistribution range to superdistribution between consumers. Recently, as the demands of the consumer increase, the consumers want to use the contents in their multiple devices, In this paper, we propose a license management method supporting superdistribution between devices owned by a consumer, The proposed method creates domain key for device authentication by using identification informations of devices owned by a consumer and stores it in license, If devices are changed, domain key and license are updated, Through this method, contents distribution between devices can be achieved securely and efficiently, Also, this license management method can apply to superdistribution between consumers.

• Journal of Distribution Science
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• v.18 no.2
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• pp.5-15
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• 2020

Purpose : Today's retailers are integrating new VR technology into their new marketing strategies. Thus, this research aims to understand the role of virtual experiences in the circumstance of sales channels. Research design, data and methodology : Our model hypothesizes that five key factors determine the consumer experience of VR in the virtual retailing context: smartness, vividness, interactivity, playfulness, escape. Information access and flow are mediating variables that connect key drivers and VR satisfaction. Information access and flow then give influence to satisfaction towards VR. Satisfaction serves as a mediator that determines changes in consumer's dual intention: intention to revisit VR and intention to visit the real site. Results : According to the test results, every path except the relationship between information access and satisfaction of VR is accepted as expected at the significance level of 0.05. Conclusions : This research emphasizes the potential importance of VR and continue VR marketing research as an advent research area. Through the dual-path model, this study found that the primary function of VR is information access and flow experience. This result shows that most VR users value emotional benefits rather than rational benefits provided by VR. Finally, the satisfaction of VR can stimulate both the intention to use the VR and the intention to visit real mall.

• Journal of Distribution Science
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• v.18 no.3
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• pp.67-76
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• 2020

Purpose: Consumers are affected by the purchase of a large number of opinions or support during the online purchasing process. This can be defined as the term of 'social decisions' on line. This paper seeks to explore the factors of influence on social decisions in on-line environment and to study in depth. Methodology: The purpose of this paper is to empirically examine the impact of factors on online social decisions. To verify the hypothesis of study, This study collected 256 from Seoul City, Gyeonggi Province and Chungcheong Province through Survey. Results: According to the research results, First, eWOM information usefulness have a positive impact on online social decisions, Second, online network connectedness have a positive impact on online social decisions. Third, innovative product have a positive impact on online social decisions. and the lower the category of knowledge, the more inclined it is to make online social decisions. Finally, social decisions have a positive impact on purchasing decisions about product. It is most significant that academic research has advanced consumer behavior in response to recent changes in the consumption environment. It is meaningful that we have studied in depth the changing consumer decision process in online channel environment.

• The Journal of Industrial Distribution & Business
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• v.7 no.4
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• pp.11-16
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• 2016

Purpose - There are numerous theories for retail trade area analysis which are designed to select candidate locations for new stores. In this study, comparative analysis on the characteristics from those of the theories are shown, and the explanation for the power in consumers' store-choice behaviors and their limitations are examined. Also, plans for improving commercial sphere analysis are explored. Research design, data, and methodology - This study is based on literature reviews with normative research methodology. Among many researches regarding the analysis on the location and commercial sphere for launching a new store, researches relying on statistics are excluded in this study since they belong to the marketing research area,. Results - In the Law of retail gravitation, Huff's model multinomial logit model and etc. are mutual complementary mathematical techniques for analyzing commercial spheres and each of them has its own characteristics. These theories rely on the same hypothesis in which consumers are all believed to be behaving rationally under a similar behavioral system. However, the trial in explaining or estimating behavior of choosing a store with only a select size of the population that is objectively estimated by some major properties has limits in its credibility. Conclusion - Research on consumer's spatial behaviors can be fully illustrative and explainable when it has both quantitative approaches such as 'law of retail gravitation', 'logit model' and etc., and qualitative approaches like consumer's 'cognitive structure', 'learning status', 'image formation', 'attitude' and etc.

• Journal of Distribution Science
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• v.16 no.9
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• pp.5-11
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• 2018

Purpose - In recent, Japanese retailers have expanded their business into Korea, although Korean customers have anti-Japan sentiment in their mind, It is, thus, necessary to investigate how Korean customers react to Japanese retailers, when selecting a shopping place. Research design, data, and methodology - The authors have developed a research model with five hypotheses, based on the literature review process, and used confirmative factor analysis(CFA) as well as a structural equation model(SEM) as a research technique, in order to verify hypotheses. Results - All of hypotheses are accepted. Anti-Japan sentiment significantly influences consumer ethnocentrism and animosity. Interestingly, consumer ethnocentricity affects the formation process of animosity. Rather than ethnocentrism, animosity relatively influences customer attitudes towards Japanese retailers, when Korean customers choose a retailer. Conclusions - The authors found that anti-Japan sentiment has significantly affected Korean customer attitudes. In order for Japanese retailers to increase their market shares in the Korean market, they have to make a significant effort to alleviate the degree of anti-Japan sentiment, together with Japanese government. In contrast with research findings, Japanese retailers have done their business very well in Korea. Considering that Japanese retailers target younger customers in Korea, demographic elements should be involved in the future research.

• Journal of Distribution Science
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• v.13 no.11
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• pp.39-46
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• 2015

Purpose - In Korea, there has been a recent trend that shows housing prices have risen rapidly following the International Monetary Fund crisis. The rapid rise in housing prices is spreading recognition of this as a factor in housing price volatility. In addition, this raises the expectations of housing prices in the future. These expectations are based on the assumption that a relationship exists between the current housing prices and expected housing prices in the real estate industry. By performing an empirical analysis on the validity of the claim that an increase in current housing prices can be correlated with expected housing prices, this study examines whether a long-term equilibrium relationship exists between expected housing prices and existing housing prices. If such a relationship exists, the recovery of equilibrium from disequilibrium is analyzed to derive related implications. Research design, data, and methodology - The relationship between current housing prices and expected housing prices was analyzed empirically using the Vector Error Correction Model. This model was applied to the co-integration test, the long-term equilibrium equation among variables, and the causality test. The housing prices used in the analysis were based on the National Housing Price Trend Survey released by Kookmin Bank. Additionally, the Index of Industrial Product and the Consumer Price Index were also used and were obtained from the Bank of Korea ECOS. The monthly data analyzed were from January 1987 to May 2015. Results - First, a long-term equilibrium relationship was established as one co-integration between current housing price distribution and expected housing prices. Second, the sign of the long-term equilibrium relationship variable was consistent with the theoretical sign, with the elasticity of housing price distribution to expected housing price, the industrial production, and the consumer price volatility revealed as 1.600, 0.104,and 0.092, respectively. This implies that the long-term effect of expected housing price volatility on housing price distribution is more significant than that of the industrial production and consumer price volatility. Third, the sign of the coefficient of the error correction term coincided with the theoretical sign. The absolute value of the coefficient of the correction term in the industrial production equation was 0.006, significantly larger than the coefficients for the expected housing price and the consumer price equation. In case of divergence from the long-term equilibrium relationship, the state of equilibrium will be restored through changes in the interest rate. Fourth, housing-price volatility was found to be causal to expected housing price, and was shown to be bi-directionally causal to industrial production. Conclusions - Based on the finding of this study, it is required to relieve the association between current housing price distribution and expected housing price by using property taxes and the loan-to-value policy to stabilize the housing market. Further, the relationship between housing price distribution and expected housing price can be examined and tested using a sophisticated methodology and policy variables.