• Journal of the Korean Society of Clothing and Textiles
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• v.37 no.1
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• pp.27-38
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• 2013

Word-of-mouth (WOM) communication (traditionally important in consumption) is expanding its influence into cyber space and is playing an important role in online shopping. Consumers who use online shopping might not readily make purchasing decisions due to information overload, lack of accurate product recognition, and the distrust of commercial information. Subsequently, people use WOM communication for a mutual interchange with others who share common concerns, interests, and purposes. This study examines the consumer characteristics, perceived risk on online shopping and benefits of online shopping according to WOM behavior that may significantly affect consumer actions. Factor analysis, t-test, one-way ANOVA, cluster analysis, and Chi-square analysis were used for statistical analysis to identify the differences in consumer characteristics. Online WOM behavior consumers purchased more various items than offline WOM behavior consumers; however, the most influential purchasing factor was price regardless of WOM behavior. Offline WOM behavior consumers have shown higher perceived online shopping risks and benefits.

• Journal of Digital Convergence
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• v.14 no.11
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• pp.173-179
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• 2016

This study was conducted to provide basic information for future Anseong local food policy and local food activation by finding the key factor determining consumer purchasing for Anseong local food. First, we conducted a survey and derived consumer purchasing attributes for the local food. Logistic regression analysis was performed to find the main factors that determine the consumers' purchase intention for Anseong local food out of such seven attributes as 'excellent quality', 'safety', 'good for health', 'activation of local economy', 'low price', 'accessibility', 'variety of items'. The results showed that the most influencing attributes on consumers' purchase decisions for Anseong local food were 'excellent quality' and 'low price' followed by 'accessibility' and 'activation of local economy'.

• The Journal of Information Systems
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• v.32 no.1
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• pp.53-84
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• 2023

Purpose The purpose of this study is to understand the factors that influence the purchasing behavior of NFT collectibles consumers, using the value-based acceptance model (VAM). As the use of NFTs is predicted to become more widespread in the near future, it is important to explore how these consumers make purchasing decisions. Design/methodology/approach This study employed text analysis and in-depth interviews to identify the factors of benefits and sacrifices perceived by consumers. Based on the results of the exploratory study, a research model and hypotheses were established. To test the hypotheses, an online survey was conducted, and the data was analyzed using a structural equation model. Findings The major findings of this study showed that perceived benefit factors had a significant positive impact on consumers' perceived value of NFT collectibles, whereas perceived sacrifice factors did not have a significant effect on perceived value. Also, when consumers' social needs were met, their perceived value was highest. Lastly, the effect of perceived value on purchase intention was not affected by the level of psychological ownership.

• Journal of Fashion Business
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• v.14 no.2
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• pp.81-94
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• 2010

The online shopping environment has radically changed consumer shopping behavior. Without the actual physical shopping experience in a brick-and-mortar store, consumers make purchasing decisions over the Internet. They make an effort to obtain product information not only from online merchants, but also from previous purchasers in order to make an informed decision. Accordingly, customer comments are expected to have a significant impact on decisions to purchase goods and services online. This paper focuses on one type of electronic word-of-mouth, the online consumer review. It derives several motivations why customers post product reviews on shopping mall sites. Customer motives were identified through an in depth one-on-one interview with twenty female respondents conducted twice from June $17^{th}$ to September $11^{th}$, 2009. The interviews lasted between 40 and 60 minutes. The results showed that consumers write product reviews based on six motivations: to receive a reward or remuneration for writing a product review, to share information with other customers, to improve the quality of goods and services, to reduce customer dissatisfaction, to recommend products and services, and to derive pleasure.

• Journal of Distribution Science
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• v.21 no.1
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• pp.45-52
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• 2023

Purpose: This study aims to analyze the confirmation the purchase decision of community enterprise products, such information is an important issue for community enterprise entrepreneurs to develop a marketing strategy through the purchasing decision of community enterprise products Research design, data and methodology: The research was designed by using mixed methods research (exploratory design), starting with in-depth interviews of consumers of community enterprise products to determine the reasons for their purchase decisions. The researcher then used the data from the in-depth interviews to create a questionnaire for consumers of community enterprise products. These data were used to analyze the confirmation components of such elements. Results: The analysis found the following. 1. Decision-making is based on a product 2. Decision-making is based on social context considerations Conclusions: Develop an image to make a difference between community enterprise entrepreneurs and general entrepreneurs for distribution. The local wisdom, it is a local intellectual resource. It should be used in adjusting or blending old knowledge with new knowledge together appropriately. Creating community participation, love, unity, and the sympathy of the people in the community can help in participation in the operation of community enterprises.

• Asian Journal of Business Environment
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• v.13 no.1
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• pp.9-19
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• 2023

Purpose: The purpose of this research paper is to explore what factors that affect customer purchase decisions in the online environment, particularly after the COVID-19 pandemic in the case of Vietnamese customers. Research Design, Data and Methodology: To clarify which factor has the most significant impacts on online purchasing decision-making process, this study proposed a research model including factors such as customer trust, proposensity to trust, system assurance, the quality of website design, attitude, and customer satisfaction. This study collected the data via online survey. Data analysis was conducted by AMOS 25.0 using the Structural Equation Modeling (SEM) method. Result: The results of this study shows that the purchase decisions were positively affected by customers' attitude, satisfaction, trust, and the quality of websites design. Additionally, factors such as perceived size and reputation and system assurance, have impacts on buyers' trust, while the propensity to trust has no significant impact. Conclusion: This study provides managerial implications. The results provide which factors should be improved to foster trust, attitude, customer satisfaction, and purchase decision in the online environment. The results also provide managerial implication on marketing strategies how to enhance better relationships with customers and to consider environmental issues in the era of post COVID-19.

• The Journal of Industrial Distribution & Business
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• v.15 no.3
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• pp.1-9
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• 2024

Purpose: This research aimed at understanding the dynamics of consumer behavior in the context of nostalgic desserts. The primary objective is to scrutinize how different attributes like quality, health, convenience, and trend influence customer satisfaction and their subsequent decision to repurchase nostalgic desserts. Research Method: The study leverages structural equation modeling, incorporating statistical tools such as SPSS and AMOS for a thorough analysis. It involves collecting data over a specified period, followed by correlation and trend analyses to deduce patterns and relationships. Results: The findings reveal that attributes such as quality, health, convenience, and trend significantly impact customer satisfaction and repurchase intentions. Interestingly, economic factors appeared to have a negligible effect on these decisions. The study offers a comprehensive understanding of the factors that influence consumer decisions in the context of nostalgic desserts, providing valuable implications for both academic research and practical marketing strategies. Conclusions: The insights garnered from this research are pivotal for formulating marketing strategies for nostalgic dessert brands. It underscores the importance of accentuating quality, health, and trend in product offerings to boost customer satisfaction and encourage repurchases. The study also sheds light on the evolving nature of consumer preferences and the integral role of nostalgia in shaping purchasing behaviors.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.16 no.3
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• pp.830-860
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• 2022

[Introduction] Nowadays, many companies are shifting their businesses online due to the growing trend among customers to buy and shop online, as people prefer online purchasing products. [Problem] Users share a vast amount of information about products, making it difficult and challenging for the end-users to make certain decisions. [Motivation] Therefore, we need a mechanism to automatically analyze end-user opinions, thoughts, or feelings in the social media platform about the products that might be useful for the customers to make or change their decisions about buying or purchasing specific products. [Proposed Solution] For this purpose, we proposed an automated SentiDecpective approach, which classifies end-user reviews into negative, positive, and neutral sentiments and identifies deceptive crowd-users rating information in the social media platform to help the user in decision-making. [Methodology] For this purpose, we first collected 11781 end-users comments from the Amazon store and Flipkart web application covering distant products, such as watches, mobile, shoes, clothes, and perfumes. Next, we develop a coding guideline used as a base for the comments annotation process. We then applied the content analysis approach and existing VADER library to annotate the end-user comments in the data set with the identified codes, which results in a labelled data set used as an input to the machine learning classifiers. Finally, we applied the sentiment analysis approach to identify the end-users opinions and overcome the deceptive rating information in the social media platforms by first preprocessing the input data to remove the irrelevant (stop words, special characters, etc.) data from the dataset, employing two standard resampling approaches to balance the data set, i-e, oversampling, and under-sampling, extract different features (TF-IDF and BOW) from the textual data in the data set and then train & test the machine learning algorithms by applying a standard cross-validation approach (KFold and Shuffle Split). [Results/Outcomes] Furthermore, to support our research study, we developed an automated tool that automatically analyzes each customer feedback and displays the collective sentiments of customers about a specific product with the help of a graph, which helps customers to make certain decisions. In a nutshell, our proposed sentiments approach produces good results when identifying the customer sentiments from the online user feedbacks, i-e, obtained an average 94.01% precision, 93.69% recall, and 93.81% F-measure value for classifying positive sentiments.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.19 no.1
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• pp.279-290
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• 2018

The purpose of this study was to investigate the effect of consumption patterns of lactic acid bacteria(LAB) on the purchasing decisions of LAB products for the commercialization of lactic acid fermented products. The average use frequency of LAB product was 5 times/week and liquid type was the most preferred. The LAB products were purchased for their health benefits. The requirements for improvement of LAB products were natural (6.037), functional (5.936) and storage (5.856). Multiple regression analysis was conducted to examine the effect of consumption buying behavior on purchase decision-making behavior factors of LAB products. From the analysis results, comparison(. 468) appears to affect the ingredient factor. Comparison(.188), experience(.281), and showoff(.370) influence brand factors. Showoff(.598) influences design factors. Showoff (0.345) affected the price factor. Increasing the purchasing decision ability of LAB products will require producing a functional product in comparison with other products, and producing the products in a company with strong recognition. The packaging should suggest a luxurious design and expensive products.

• Journal of Distribution Science
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• v.10 no.2
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• pp.53-62
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• 2012

Well-being is a reflection of current sociocultural trends that focus on the quality of life based on economic growth. Furthermore, organic food is believed to help people maintain good health and therefore leads to increased consumption of organic foods. Therefore, consumer interest in organic food is increasing, causing its market to grow, and this trend will be maintained in the future. The abuse of agricultural pesticides, gene manipulation, and bovine spongiform encephalopathy has caused consumers to worry about food safety. The well-being trend has also contributed to consumers' growing interest inorganic food and organic agricultural products. A consumer's choice offood is a complex processes affected by various factors. In particular, organic food is considered an individualistic merit good, considering the consumers' preferences related to certification policies. Therefore, various factors such as personal characteristics and sense of value could affect consumers' decisions. This research focused on an analysis of the factors influencing consumers' purchasing intention for organic food on the basis of an increase in organic food consumption. The research method was based on the theory of planned behavior (TPB). Factors such as consumer characteristics regarding food consumption, purchasing frequency, and other factors affecting purchasing intention were presented. The hypothesis was set using advanced research and stated that it is easier to forecast purchasing intentions by combining the theory of planned behavior and personal characteristics of consumer. The results show that two dimensions, attitude and perceived behavioral control, have statistically significant influence on the purchasing intention. It can be said that a positive attitude toward organic foods in particular increases the possibility of purchasing intention. In addition, consumers who consume more organic food products are more likely to have positive attitudes, and, in the past, purchasing frequency has positively influenced purchasing intention of organic foods. Consumers' negative feelings about the non-purchase of organic foods also showed a negative influence on purchasing intentions. In other words, even though consumers feel uncomfortable when not consuming organic food products, they do not try to purchase such products because of this feeling of discomfort. Furthermore, the subjective norm and the behavioral control of food-related involvement do not have a statistically significant influence on the purchasing intention or attitudes. This research verified the influence of factors related to purchasing intention. This study has several limitations: (1) even though consumers' responses can change based on the type of food, the types of food were not classified in this study; (2) future studies are necessary to analyze the attitudes of consumers on the basis of their purchasing experiences with organic foods.