• Journal of Distribution Science
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• v.21 no.11
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• pp.103-111
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• 2023

Purpose: This research aims to study the selection attributes influencing the purchasing decisions of the MZ generation in online luxury stores and explores the moderating effects of consumer value. The research aims to validate the impact of reasonable pricing, brand reliability, product variety, comprehensive product information, and user-friendly interfaces on customers' decision to purchase products from online luxury stores. Research design, data and methodology: A survey was conducted with 101 participants, and data analysis included exploratory and confirmatory factor analysis, as well as covariance structure model analysis. Results: The findings reveal that brand trust, product variety, and information sufficiency significantly influence brand affect, which in turn influences purchase intention. Additionally, the study identifies that consumers prioritizing hedonic value are more influenced by brand trust and information, while those prioritizing utilitarian value are more responsive to factors like reasonable price, product variety, and ease of use. Conclusions: The study provides insights into the preferences and behaviors of the MZ generation, highlighting their digital proficiency, mobile-centric lifestyle, desire for product variety, price-consciousness, social media influence, and the availability of personalized shopping experiences as factors contributing to their preference for online luxury stores. These findings contribute to understanding consumer behavior and decision-making processes in the context of online luxury shopping.

• Advances in Computational Design
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• v.2 no.2
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• pp.89-105
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• 2017

The AEC industry is highly interested in effective ICT adoption and deployment, including its utilization within the design process. However, its capabilities have not yet been fully exploited and it is an obvious area for further research. Architects and engineers tend to have some technological support to monitor and evaluate the possible impacts of decisions made throughout the design process. Many aspects are left out of consideration and the entire project is broken up into independent fragments or domains that are combined together at a later, post hoc stage. Impact of separate decisions on each others have to be interpreted on a person-to-person basis between the involved design stakeholders. This paper attempts to evaluate current design practice and associated challenges towards design integration with advanced technologies, such as BIM, by conducting an online survey targeted at designers and engineers, who are most affected by its emerging issues. The outcomes of this study are presented and analysed, concluding that the current design process fails to meet expectations and needs improvements. It goes further to propose the requirements for an integrated system as a means for an effective solution for the identified problem.

• Korean Journal of Agricultural Science
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• v.51 no.2
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• pp.97-108
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• 2024

During the COVID-19 pandemic, the online agricultural and food products market has experienced substantial expansion. This study aims to examine the factors influencing consumers' online purchasing behavior, their satisfaction levels regarding price and quality, the frequency of online transactions, and their future purchasing intentions concerning key short-term non-timber forest products. The analysis is based on survey responses obtained from 1,000 consumers across the nation. Results reveal that while online purchasing of non-timber forest products may not be as active compared to other sectors, various consumer behavior characteristics such as online purchase experience, socio-economic variables, online purchase dependency, and information utilization significantly influence purchasing decisions. These findings shed light on the understanding of consumer behavior through online platforms, particularly in non-timber forest products where analytical attempts have been relatively scarce compared to other agricultural products. The insights derived from this analysis could serve as fundamental data for understanding online consumption patterns, especially in sectors where research on consumer behavior remains limited. To expand the consumption of short-shelf-life perishable goods, which relatively have lower online consumption compared to other fresh agricultural products, it is necessary to conduct analyses that identify the socioeconomic characteristics and corresponding needs of consumers. Additionally, analyses should be conducted to explore the potential for developing and utilizing processed foods for online consumption. These analyses should be carried out in conjunction with an understanding the socio-economic characteristics identified in this study.

• 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 Information Technology Services
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• v.13 no.1
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• pp.43-55
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• 2014

More and more people are gravitating to reading products reviews prior to making purchasing decisions. As a number of reviews that vary in usefulness are posted every day, much attention is being paid to measuring their helpfulness. The goal of this paper is to investigate firstly various determinants of the helpfulness of reviews, and intends to examine the moderating effect of product type, i.e., search or experience goods on the product sales, helpfulness and helpfulness votes of online reviews. The determinants include product data, review characteristics, and textual characteristics of reviews. The results indicate that the direct effect exists for the determinants of product sales, helpfulness, and helpfulness votes. Further, the moderating effects of product type exist for these determinants on three dependent variables. The results of study will identify helpful online review and design review sites effectively.

• ETRI Journal
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• v.33 no.3
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• pp.407-414
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• 2011

In an effort to reduce energy consumption, research into adaptive power management in real-time systems has become widespread. In this paper, a novel dynamic voltage scaling scheme is proposed for multiprocessor systems. Based on the concept of the Nash bargaining solution, a processor's clock speed and supply voltage are dynamically adjusted to satisfy these conflicting performance metrics. In addition, the proposed algorithm is implemented to react adaptively to the current system conditions by using an adaptive online approach. Simulation results clearly indicate that the superior performance of the proposed scheme can strike the appropriate performance balance between contradictory requirements.

• International Journal of Internet, Broadcasting and Communication
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• v.13 no.4
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• pp.22-29
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• 2021

This study evaluates the accuracy of corrective feedback from Grammarly, an online grammar checker, on essays written by cyber university learners in terms of detected errors, suggested replacement forms, and false alarms.The results indicate that Grammarly has a high overall error detection rate of over 65%, being particularly strong at catching errors related to articles and prepositions. In addition, on the detected errors, Grammarly mostly provide accurate replacement forms and very rarely make false alarms. These findings suggest that Grammarly has high potential as a useful educational tool to complement the drawbacks of teacher feedback and to help learnersimprove grammatical accuracy in their written work. However, it is still premature to conclude that Grammarly can completely replace teacher feedback because it has the possibility (approximately 35%) of failing to detect errors and the limitationsin detecting errors in certain categories. Since the feedback from Grammarly is not entirely reliable, caution should be taken for successful integration of Grammarly in English writing classes. Teachers should make judicious decisions on when and how to use Grammarly, based on a keen awareness of Grammarly's strengths and limitations.

• Journal of Distribution Research
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• v.6 no.2
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• pp.109-133
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• 2002

This article examines how consumers in online environments depend on brand in making purchase decisions by product types. Previous research explains that the characteristics of online environments decrease the dependence on brand due to inexpensive search costs and affluent information quantity. But it is likely that in online environment, the dependence on brand will be differentiated by product types. We found that in search product, the availability of information decreased consumer's uncertainty, which, in turn, increased the dependence of brand. However, in experience products, the weakness of multi-sensory increased consumer's uncertainty, which resulted in the increase of the dependence of brand.

• Knowledge Management Research
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• v.16 no.3
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• pp.149-169
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• 2015

In this study, we try to understand the role of online social recommendation and the similarity of preferences between the recommender and the recommendee on consumer decisions in the framework of the two stage purchase decision-making process. Applying construal level theory to our context, we expect that the role of social recommendation and the similarity of preferences would vary over the stages in the two-stage decision making process. To test our hypotheses, we collected the data through an incentive compatible experiment, and analyzed the data with nested logit model. As a result, we found that the role of online social recommendation varies over the stages. Consumers take recommendation from similar others at the stage of consideration set formation, but no longer consider it at the stage of final choice. Consumers take recommendation from dissimilar others at the stage of consideration set formation. At the stage of final choice, however, consumers avoid choosing the option recommended by dissimilar others. The results of our study enrich the understanding about the role of social recommendation, and have implication to marketing practitioners who attempt to make online social recommendation system more efficient.

• Journal of Arbitration Studies
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• v.25 no.1
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• pp.3-23
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• 2015

As the Internet rapidly emerges as a speedy and cost-effective way of purchasing goods from overseas websites, the number of disputes arising out of overseas direct purchases also increases. In such situations, a disgruntled consumer might be left without an effective remedy. Providing an alternative approach to redress such grievances might assist in resolving such disputes and in increasing consumer confidence in e-commerce. Online Dispute Resolution (ODR) will allow consumers to solve their disputes without going to court, in a quick, low-cost, and simple way. It also helps to eliminate complex jurisdictional and choice-of-law problems. On the other hand, it has many problems such as having inadequate confidentiality and security, not being able to meet the "writing" requirement for arbitration of disputes, having difficulty in enforcing online arbitration agreements, having difficulties in enforcing online decisions and so on. This article investigates relationship online disputes and ODR and suggests ways that ODR can work best in resolving disputes arising out of overseas direct purchases. To expand the ODR system in online disputes, it is very important for domestic consumers to recognize the concept and usefulness of the Alternative Dispute Resolution (ADR) and ODR systems. The Korean government must also help consumers recognize the ADR mechanisms of dispute resolution by public campaign advertisement of ADR systems. Further education of dispute resolution in higher educational institutions is also required as well as assisting the KCAB with funds and the establishment of ADR Law.