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The evaluation of perceived attribute performance reflected in online consumer reviews (OCRs) is critical in gaining timely marketing insights. This study proposed a text mining approach to measure consumer sentiments at the feature level and their asymmetric impacts on overall product ratings.

This study employed 49,130 OCRs generated for 14 wireless earbud products on Amazon.com. Word combinations of the major quality dimensions and related sentiment words were identified using bigram natural language processing (NLP) analysis. This study combined sentiment dictionaries and feature-related bigrams and measured feature level sentiment scores in a review. Furthermore, the authors examined the effect of feature level sentiment on product ratings.

The results indicate that customer sentiment for product features measured from text reviews significantly and asymmetrically affects the overall rating. Building upon the three-factor theory of customer satisfaction, the key quality dimensions of wireless earbuds are categorized into basic, excitement and performance factors.

This study provides a novel approach to assess customer feature level evaluation of a product and its impact on customer satisfaction based on big data analytics. By applying the suggested methodology, marketing managers can gain in-depth insights into consumer needs and reflect this knowledge in their future product or service improvement.

Given its growing economic potential and social impact, this study aims to understand the motivations and concerns regarding metaverse usage. It identifies user needs and risks around the metaverse grounded on uses and gratifications theory and perceived risk theory.

The authors analyzed user reviews and rating data from Roblox, a representative modern metaverse platform. They applied BERTopic modeling to extract topics from reviews, identifying key motivations and risk aspects related to metaverse usage. They further constructed an explanatory model to assess how those affect user satisfaction and changes in these effects over time.

This study discovered that gratifications like entertainment, escapism, social interaction and avatar-based self-expression significantly influence user satisfaction in the metaverse. It also highlighted that users find satisfaction in self-expression and self-actualization through creating virtual spaces, items and video content. However, factors such as identity theft, fraud and child safety were identified as potential detriments to satisfaction. These influences fluctuated over time, indicating the dynamic nature of user needs and risk perceptions.

The novelty of this study lies in its dual application of the uses and gratifications theory and perceived risk theory to the metaverse. It provides a novel perspective on user motivations and concerns, shedding light on the distinct elements driving user satisfaction within the metaverse. This study unravels the metaverse’s unique capacity to assimilate features from established digital media while offering a distinctive user-generated experience. This research offers valuable insights for academics and practitioners in digital media and marketing.

This research pioneers the application of both uses and gratifications and perceived risk theories to understand factors influencing metaverse satisfaction. By establishing a comprehensive framework, it explores the metaverse’s unique value as a user-content creation platform, while encompassing existing digital platform characteristics. This study enriches the academic literature on the metaverse and offers invaluable insights for both metaverse platforms and brand marketers.

This research aims to investigate the role of brand types (value brand vs premium brand) in determining review content. Specifically, this research focuses on attribute-based reviews for an innovative product and suggests that consumers of value brands tend to discuss more attributes in their product reviews than those of premium brands. Also, this research suggests that review valence and time have moderating effects on the relationship between brand types and the number of attributes discussed in a review.

This research employed a data set of online consumer reviews (N = 106,980) for wireless earbuds from Amazon.com. It extracted products' attributes from review text using Bigram analysis and measured the number of attributes discussed in a review. It then analyzed the effect of brand types (value brand vs premium brand) on the number of attributes and the moderating effect of review valence and time.

The estimation results of Poisson models reveal that reviews for value brands tend to contain more product attributes than reviews for premium brands. Interestingly, the tendency is stronger among positive (vs negative) reviews, and it decreases over time as more reviews are accumulated.

While existing studies focused on the outcomes of the review content, there was not enough investigation into the determinants of the review content. This study focuses on the number of attributes discussed in a review, a key content characteristic, and provides the first empirical evidence that review content differs by brand types of an innovative product.

This study aims to provide a way to derive inter-brand similarities from user-generated content on online brand forums, which enables the authors to analyze the market structures based on consumers' actual information searching and sharing behavior online. This study further presents a method for deriving inter-brand similarities from data on how the sales of competing brands covary over time. The results obtained by the above two methods are compared to each other.

In drawing similarities between brands, the authors utilized a newly proposed measure that modified the lift measure. The derived similarity information was applied to multidimensional scaling (MDS) to analyze the perceived market structure. The authors applied the proposed methodology to the imported car market in South Korea.

In light of some clear information such as the country of origin, the market structure derived from the presented methodology was seen to accurately reflect the consumer's perception of the market. A significant relevance has been found between the results derived from user-generated online content and sales data.

The presented method allows marketers to track changes in competitive market structures and identify their major competitors quickly and cost-effectively. This study can contribute to improving the utilization of the overflowing information in the big data era by proposing methods of linking new types of online data with existing market research methods.

From 1953 to 1961, the South Korean economy grew slowly; the average per capita GNP growth was a mere percent, amounting to less than $100 in 1961. Few people, therefore, look for the sources of later dynamism in this period. As Kyung Cho Chung (1956:225) wrote in the mid‐1950s: “[South Korea] faces grave economic difficulties. The limitations imposed by the Japanese have been succeeded by the division of the country, the general destruction incurred by the Korean War, and the attendant dislocation of the population, which has further disorganized the economy” (see also McCune 1956:191–192). T.R. Fehrenbach (1963:37), in his widely read book on the Korean War, prognosticated: “By themselves, the two halves [of Korea] might possibly build a viable economy by the year 2000, certainly not sooner.”

The purpose of this paper is to investigate how the center of pressure (COP) changes depending on the type and wearing method of baby carriers, which is fundamental research for the development of smart baby carriers. In addition, the most comfortable and least burdensome type and method of wearing baby carriers is suggested.

The COP and muscle fatigue were measured depending on the three types and wearing method of baby carriers. And then, the subjective stability, comfort, and fatigue were analyzed.

The results of this study show that horizontal changes to the COP are greater and when baby carriers are worn loosely, subjective comfort is worse. Furthermore, when the shoulder straps are worn loosely, the center of mass moves downwards, lowering the muscle fatigue of the shoulders, but greatly raising the muscle fatigue of the waist and thighs. Comparison of the shapes of baby carriers showed that X-type produced greater muscle fatigue in the shoulders, waist, and thighs, as well as greater subjective fatigue in the shoulders. However, subjective fatigue in the waist decreases when baby carriers without waist support are worn.

It is expected that changes in COP values based on the type and method of wearing baby carriers will be applied as fundamental data for the development of automatic-adjusting smart baby carriers that prevent muscular pain and concentrated pressure.

This study aims to identify the consumption mechanism by which consumers’ materialism creates purchase intentions for luxury athleisure products through impression management purchase motivation and to verify the moderating effect of sustainability in this mechanism.

This study conducted a scenario-based online survey by dividing into two groups according to the sustainability of luxury brand products (non-sustainable vs sustainable). Structure equation modeling (SEM) was performed to verify the hypotheses.

The SEM results showed that materialism has a positive effect on the purchase intention of luxury athleisure products. It was also confirmed that impression management purchase motivation mediates the relationship between materialism and purchase intention. As a result of examining the moderating effect of sustainability, materialism directly affects purchase intention for unsustainable products, but only indirectly affects sustainable products through impression management purchase motivation.

This study expanded the research on luxury brands by providing the consumption mechanism of luxury athleisure considering sustainability.

Luxury brand marketers should strategically motivate consumers to purchase by activating materialistic tendencies such as ownership and display for general athleisure products and using impression management purchase motivation for sustainable products.

This study explored unresolved research areas on the consumption mechanism of luxury athleisure by identifying the mediating role of impression management purchase motivation in the relationship between materialism and luxury consumption and exploring the moderating role of sustainability.

The purpose of this paper is to develop a method for defining and categorizing upper lateral somatotypes for clothing size systems used for clothing pattern creation based on directional angles of 3D space vectors.

3D data for 317 men in their twenties obtained from the fifth Size Korea survey were used in this study. Standard landmarks and surfaces were set on the 3D shapes, and six space vector angles of the lateral form were defined and measured. Relationships among the measurement results were clarified, and the results were compared with those obtained using existing classifying methods.

The measurement of the defined directional angles indicated that the swayback type and bend-forward type had the two extreme values, and the straight type was between the two values. The analysis of the correlation between six directional angles indicated that some points in the lower area of the upper body had a high correlation with other points in the lower area.

The subjects of this study were limited to lateral somatotypes, and there is a need for future studies that focus on frontal somatotypes. This research is confined to the upper lateral somatotypes of men in their twenties. Further study is needed to extend the results of this study to other body types such as those of elderly and overweight persons.

Major angle measurements quantified by the somatotypes can be specifically reflect in developing and revised to the right patterns which is spread body shell replica or individual pattern for MTM.

This objective somatotype analysis method can be involved in determining individual body somatotype of ordermade clothes or can provided the accurate information interactively to MTM automatic customized pattern making system.

Accurate measurements of size, shape, and posture were applied and characterized to realize the process. Accuracy was improved compared to existing 2D analysis methods through three-dimensional analysis using directional space vector angles based on 3D forms.

This chapter aims to build a systematization of the current theoretical and empirical academic contributions on smart working (SW) in the organization studies domain and to examine which are the main paths that researchers are concerning themselves with, with specific attention being paid to the new meaning that the work itself has acquired in the model proposed by SW. Particular consideration is devoted to an analysis of the characteristics of the present debate on this construct and the meaning of SW, identifying two different – and contrasting – approaches: one considers it as a totally new concept; the other is notable for its continuity with previous arrangements such as telework. Further, some relevant concepts, strictly related to that of SW in working environments are considered. In the last part of the chapter, some key points for further research are proposed to create stimuli for discussion in the community of organization studies and HRM scholars and among practitioners, given from the perspective of deepening the change in progress, the relevance for which there is general consensus.