• 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 Asian Finance, Economics and Business
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• v.7 no.11
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• pp.549-556
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• 2020

Real estate markets play an essential role in the economic development of both developed and developing countries. Investment decisions in private real estate demand the consideration of several qualitative and quantitative criteria. Especially in Vietnam, demand for housing, apartments are rising which has resulted because of the migration from rural to urban areas. This study aims to determine the influencing factors of the real estate purchasing behavior and then recommend a grey Multi-Criteria Decision Making (MCDM) support model to evaluate real estate alternatives based on a numerical example in Vietnam. A set of essential criteria are identified based on experts' opinion, and the proposed determinants are initial investment, maintenance cost, prestige location, distance to interesting places, parking lot, public transportation, property condition, total area size, number of rooms, and neighbors. The subjective weights were obtained by using the Decision-Making Trial and Evaluation Laboratory (DEMATEL) model, and the Grey Relational Analysis (GRA) technique is employed to prioritize and rank real estate alternatives. The results reveal that this approach can be useful to make purchasing decisions for many kinds of real estate property under uncertain business environments. These findings indicate that the presented hybrid model has advantages in granting flexibility to the preferences of decision makers.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.10
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• pp.323-328
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• 2020

This study aims to analyze the changes in purchasing decisions in conducting transactions using cash and digital payment systems. Cash payment systems are very different from digital payments because they no longer use banks as intermediaries for transactions. The scope of this study is to determine the differences that take place with purchasing decisions using digital payment systems with OVO Indonesia smart applications. By using the paired T-test sample test method and testing the regression class assumptions, it is expected we will document the comparison between cash and digital payment systems as regards changes in consumers' buying interest behavior towards goods. Data is obtained by purposive sampling using special characteristics for smart application users. The results show that digital payments are developing very quickly, but cash payments still dominate due to the unavailability of complete facilities and infrastructure to support digital payment systems other than in cities. This study illustrates that digital payments have not been able to completely change consumer buying behavior in large numbers, but the main finding in this study is an increase in the percentage of digital payment usage to the online market, due to the many conveniences provided in OVO smart applications.

• Journal of Distribution Science
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• v.20 no.4
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• pp.9-19
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• 2022

Purpose: Mothers determines all household requirements and decides almost all their related things. The purpose of this study was to examine several independent variables on customer loyalty among mothers in The Asian Parents Indonesia community. The independent variables include advertising on Instagram, brand image, word-of-mouth, community cohesiveness, while the dependent variable is purchasing decisions. Research design, data, and methodology: This quantitative study uses a survey method for the Asian Parents Indonesia community members, listed on its website. The population of this community was recorded at 1,310, with a sample of 135 respondents. Data processing is done by using Structural Equation Model using Smart-PLS software. Results: Variables that significantly affect purchasing decisions and customer loyalty are word-of-mouth,summarized in a testimony, advertising on Instagram, and brand image. However, community cohesiveness does not affect customer loyalty to a brand. Conclusion: The results of this test propose significant implications for developing the relationship between baby toiletries producers and customers through word-of-mouth testimonials and advertisements on Instagram while community cohesiveness in maintaining customer loyalty using a brand is not influential, but interactions that occur within the community become a reference for mothers to choose a baby toiletries product.

• The Journal of the Korea Contents Association
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• v.16 no.6
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• pp.168-182
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• 2016

The domestic market for performances and concerts is rapidly growing. However, despite of the various efforts to attract audience, the market still struggles in securing consumers for classical music performances. In this context, the following thesis first explores the factors that determine the choice of performances through open-ended questions to categorize the types of consumers based on the results. Then, effects of different factors of choices for each type of consumer are studied to find out how these factors affect the consumers' purchasing decisions. As a result, 35 factors out of the 40 factors were ultimately confirmed as the factors that determine the consumers' choice for purchasing classical music performances. Then, the 35 factors were classified into seven categories. Moreover, an empirical analysis showed that personal factors, factors regarding contents of the performance, information factors, environmental factors and marketing factors had significant effects on the consumers' purchasing decisions. The degree of influence of the factors for each type of audience varied. This study conclusively seeks to contribute to developing a more thorough marketing strategies for performance arts institutions and performance venues.

• Korean Management Science Review
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• v.31 no.1
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• pp.27-40
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• 2014

Tour products have been recognized as a perishable asset. For tour operation companies (TOCs), improving profitability is a core decision problem for their business. Since package tour products, typical products of TOCs, are perishable after the tour was departed, TOCs have been tried to increase their sales before the departure date with various marketing strategies including price discounts. The pricing problem for perishable assets have been studied in Revenue Management for a long time. However, it is hard to find a research on pricing decisions for tour products. In this paper, we focus on a pricing problem for tour products. In particular, we will consider the pricing scheme with customer preference values on purchasing conditions. With conjoint analysis, we can use the part-worth value as a preference value for each level of purchasing conditions. To construct various discount prices, we use an enumeration method and suggest a mathematical optimization model. With experimental analysis for a sample tour package, we will show that our pricing process is very helpful for designing customer-oriented pricing decision.

• Journal of the Korean Society of Food Culture
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• v.38 no.3
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• pp.143-153
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• 2023

This study examined the MZ Generation Consumers' perception and needs of HMR (Home Meal Replacement) using local food. The paper provides basic data for deriving a plan to promote local food consumption and reports the implications for various development and distribution strategies regarding HMR using local food. In this study, a quantitative survey was conducted targeting 600 consumers to examine the general consumption status of HMR using local food by MZ consumers. In addition, a qualitative survey was conducted targeting 21 people to derive the specific perceptions and unmet needs of MZ consumers. These results showed that MZ consumers require healthy and fresh HMR but have low awareness of HMR using local food. Therefore, it is necessary to deliver sufficient information and promote it. In particular, MZ consumers have high expectations for 'healthy and safe' food when purchasing HMR using local food, which plays an important role in purchasing decisions. They also valued 'convenience', which means 'simple cooking', 'subdivision packaging', and 'accessibility of purchasing channels', as important when purchasing HMR using local food. Lastly, MZ consumers positively evaluated the values of 'healthy eating' and 'revitalization of the local economy' through local food.

• Journal of the Korean Society of Clothing and Textiles
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• v.35 no.7
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• pp.775-786
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• 2011

This study examines whether there are differences in the evaluation of clothing products according to self-efficacy in purchasing clothes. A total of 300 surveys were distributed and 231 were used for analysis. The data were analyzed by regression and factor analysis. The results are as follows. First, there were significant differences in the product attributes considered according to self-efficacy in purchasing clothes. The consumers with high self-efficacy considered diverse product attributes comprehensively when making purchase decisions and had significantly higher score in perceived value and post-purchase satisfaction level than the consumers with low self-efficacy. Second, there were differences in the attributes of clothing products that effects perceived value according to self-efficacy in purchasing clothes. The attributes of 'clothes that I like' and 'necessary clothes' had a significant effect on perceived value for both consumers. The attributes of 'design that suits me' and 'inexpensive price' had significant effect on perceived value on consumers with high self-efficacy while the attributes of 'harmony with other clothes' had a significant effect on perceived value for consumers with low self-efficacy. Third, there were differences in product attributes and the perceived value that influenced post-purchase satisfaction level according to self-efficacy in purchasing clothes. The attributes of 'design that suits me' and perceived value had a direct effect on the post-purchase satisfaction level four consumers with a high self-efficacy. For the consumers with low self- efficacy, the attributes of 'clothes I like', 'necessary clothes', and 'design similar to that of usually purchased products' had a direct effect on post-purchase satisfaction level; however, the effect of perceived value was not found.

• The Journal of the Korea Contents Association
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• v.13 no.11
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• pp.815-828
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• 2013

Recently internet shopping malls provide newer and more varied goods and services to meet the demand of their customers. And as new companies enter the on-line shopping mall business, competition in this specific market is getting stiffer. Therefore, to keep a more sustained relationship with their customers, internet shopping malls need to satisfy their customers with their goods and services and to make them loyal customers. Unlike bricks-and-mortar stores in real life, This study also aims to propose an on-line physical environment model, and to develop the existing on-line research into a physical environment. The physical environment is measured on the four dimensions and 4 measurement units and the on-line physical environment, trust, and purchasing decisions are also explained. This study makes contributions as follows. First, online physical environments contain theoretical syntheses and operational definition. Second, this study finds that trust is an important part of an on-line transaction. Third, this study provides an insight into some of the factors preceding purchasing decisions. Lastly, this study finds that the consumer's comprehension of the on-line environment has a considerable influence on trust and purchasing decisions.

• Journal of Intelligence and Information Systems
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• v.22 no.1
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• pp.63-82
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• 2016

Individuals gather information online to resolve problems in their daily lives and make various decisions about the purchase of products or services. With the revolutionary development of information technology, Web 2.0 has allowed more people to easily generate and use online reviews such that the volume of information is rapidly increasing, and the usefulness and significance of analyzing the unstructured data have also increased. This paper presents an analysis on the lexical features of expert product reviews to determine their influence on consumers' purchasing decisions. The focus was on how unstructured data can be organized and used in diverse contexts through text mining. In addition, diverse lexical features of expert reviews of contents provided by a third-party review site were extracted and defined. Expert reviews are defined as evaluations by people who have expert knowledge about specific products or services in newspapers or magazines; this type of review is also called a critic review. Consumers who purchased products before the widespread use of the Internet were able to access expert reviews through newspapers or magazines; thus, they were not able to access many of them. Recently, however, major media also now provide online services so that people can more easily and affordably access expert reviews compared to the past. The reason why diverse reviews from experts in several fields are important is that there is an information asymmetry where some information is not shared among consumers and sellers. The information asymmetry can be resolved with information provided by third parties with expertise to consumers. Then, consumers can read expert reviews and make purchasing decisions by considering the abundant information on products or services. Therefore, expert reviews play an important role in consumers' purchasing decisions and the performance of companies across diverse industries. If the influence of qualitative data such as reviews or assessment after the purchase of products can be separately identified from the quantitative data resources, such as the actual quality of products or price, it is possible to identify which aspects of product reviews hamper or promote product sales. Previous studies have focused on the characteristics of the experts themselves, such as the expertise and credibility of sources regarding expert reviews; however, these studies did not suggest the influence of the linguistic features of experts' product reviews on consumers' overall evaluation. However, this study focused on experts' recommendations and evaluations to reveal the lexical features of expert reviews and whether such features influence consumers' overall evaluations and purchasing decisions. Real expert product reviews were analyzed based on the suggested methodology, and five lexical features of expert reviews were ultimately determined. Specifically, the "review depth" (i.e., degree of detail of the expert's product analysis), and "lack of assurance" (i.e., degree of confidence that the expert has in the evaluation) have statistically significant effects on consumers' product evaluations. In contrast, the "positive polarity" (i.e., the degree of positivity of an expert's evaluations) has an insignificant effect, while the "negative polarity" (i.e., the degree of negativity of an expert's evaluations) has a significant negative effect on consumers' product evaluations. Finally, the "social orientation" (i.e., the degree of how many social expressions experts include in their reviews) does not have a significant effect on consumers' product evaluations. In summary, the lexical properties of the product reviews were defined according to each relevant factor. Then, the influence of each linguistic factor of expert reviews on the consumers' final evaluations was tested. In addition, a test was performed on whether each linguistic factor influencing consumers' product evaluations differs depending on the lexical features. The results of these analyses should provide guidelines on how individuals process massive volumes of unstructured data depending on lexical features in various contexts and how companies can use this mechanism from their perspective. This paper provides several theoretical and practical contributions, such as the proposal of a new methodology and its application to real data.