This study seeks to explore how key restaurant attributes differently influence customer satisfaction and dissatisfaction across pre-pandemic and post-pandemic periods, as well as across various economic segments. By employing impact asymmetry analysis (IAA), the research identifies the primary drivers of customer satisfaction and dissatisfaction, examining their uneven on customer satisfaction in Korean restaurants. The findings underscore the non-linear and asymmetric nature of customer responses to various service attributes, highlighting the significant influence of economic factors and the pandemic on dining expectations and experiences. This research deepens our understanding of the factors shaping customer satisfaction dynamics, particularly in the context of the evolving post-pandemic restaurant industry.

Wheat (Triticum aestivum L.), a significant cereal crop from the Gramineae family, serves as a vital source of protein, essential minerals, B-group vitamins, and dietary fiber. However, its productivity is often hindered by issues such as poor seed germination, which can adversely affect yield and crop quality. This study investigated the effects of different silicon concentrations and priming durations on wheat germination and seedling growth. Analysis of variance revealed that silicon treatment significantly influenced key parameters of germination and growth, including germination percentage (GP), germination index (GI), vigor index (VI), radicle length (RL), plumule length (PL), and seedling dry weight (SDW). Priming with silicon at a concentration of 1 mM resulted in notable improvements, increasing GP, GI, VI, RL, and PL by 10.6%, 65.5%, 29.4%, 18.6%, and 28.6%, respectively, after 6 hours of priming. Certain germination traits demonstrated strong positive correlations, particularly GP and GI (r = 0.96) and VI and RL (r = 0.94), after 4 hours of priming. These improvements in seed germination and seedling development may result from enhanced water uptake, stimulated cell division, and increased hydrolytic enzyme activity, which facilitate the mobilization of seed reserves and accelerate the growth of embryonic tissues.

The objective of this study was to categorize consumers' food-related lifestyles into various types and discern the differences in consumer preferences for locally sourced ingredients in Home Meal Replacement (HMR) based on food-related lifestyles. The online survey was conducted from December, 2020, involving 474 adults who registered with Macro Mill Embrain. Statistical analyses, including frequency analysis, descriptive statistics, factor analysis, K-means cluster analysis, and one-way ANOVA were applied to the collected data. The findings revealed the ‘convenience-seeking group,’ the 'high interest in food-related lifestyle group,' and the ‘health and taste-seeking group.’ The ‘convenience-seeking group’ showed a high proportion of respondents (65%) didn’t check the origin, whereas the ’high interest in food-related lifestyle group’ (57.5%) and the ‘health and taste-seeking group’ (66.7) had higher proportions of respondents who checked the origin. Regarding the reasons for preferring locally sourced HMR, all three clusters emphasized safety, hygiene, and fresh ingredients as the most critical factors. This study represented the first exploration into consumer preferences for HMR using locally sourced ingredients, segmented by their food-related lifestyles. The findings provided valuable foundational information for the development of HMR using locally sourced ingredients and could be applied to decisions in the food industry and related policy-making.

본 연구의 목적은 소비자의 속성인 성별과 전공에 따라 패션 인플루언서의 특성과 팔로우 및 관계유지 사이의 관계성을 살펴보고 소비자의 성별에 따라 패션 인플루언서를 팔로우함에 있어 동성편중을 분석하는 것이다. 패션 인플루언서의 특성은 전문성, 호감성, 유사성, 친밀성으로 구분하였으며 특성이 지속적인 관계유지에 유의미한 영향 을 미치는지 분석하였다. 연구방법은 SNS를 활발히 사용하는 20대 남녀를 대상으로 설문지 조사를 실시하였다. SPSS 통계를 사용하여 기술통계, 요인 분석, 신뢰도 분석, 카이제곱 분석, t-test, 회귀분석을 조사하였다. 연구 결과 는 다음과 같았다. 첫째, 남성은 인플루언서의 성별에 영향을 받지 않았으나 여성은 여성 인플루언서를 유의미하게 팔로우 하는 것으로 나타났다. 둘째, 지속적인 관계를 유지하는데 성별과 전공에 관계없이 공통적으로 전문성과 호 감성이 유의미한 영향을 미쳤으나, 여성과 패션 비전공자는 친밀성 또한 중시하는 것으로 나타났다. 이러한 결과는 지속적인 관계유지를 위해 전문적인 지식 전달과 함께 소비자에게 호감을 줄 수 있도록 노력해야 함을 시사한다.

This study aimed to identify consumer demands and propose improvement measures for restaurants by conducting an importance-satisfaction analysis of the attributes that influence dining consumers’ restaurant selection. The key findings are as follows: An analysis of consumer hygiene behavior revealed that participants were particularly vigilant about washing food ingredients, checking expiration dates, and maintaining personal hygiene before meals. Notably, women exhibited significantly higher hygiene behaviors than men in 9 out of 12 items. The importance analysis of restaurant selection attributes indicated that “food cleanliness” and “food taste” were prioritized, with women assigning higher importance to almost all attributes, particularly emphasizing restaurant cleanliness and food taste. The satisfaction analysis showed that “food taste” and “food cleanliness” were the most satisfying attributes, with significant gender differences observed in 4 out of 26 items. The importance-satisfaction analysis demonstrated that satisfaction levels were consistently lower than importance levels across all 26 attributes. The ISA analysis identified that items in the second quadrant, such as restroom cleanliness, reasonable price, and the provision of food safety information, were in the most urgent need of improvement. Overall, the study highlights that consumers place a high level of importance on hygiene and cleanliness in restaurants, reflecting a market with increasingly stringent hygiene standards.

This study aimed to understand the needs of consumers in the meal kit market and determine the impact of meal kit selection attributes according to the consumption behavior of single-person households on purchase decisions and satisfaction. A summary of the results of this study is as follows: First, the most frequent purchase frequency of meal kits was 2 to 3 times a month. The reason for purchase was that it was easy to consume, and the most common purpose of purchase was for consumption. Second, four factors, including health, convenience, taste, and economics, were derived as a result of a factor analysis of meal kit selection attributes. The difference in meal kit selection attributes according to age groups revealed that those in their 20s had high scores with respect to health and taste factors, and economic factors appeared statistically significant. Third, an analysis of the meal kit product selection attributes showed that health and taste factors had a positive influence on satisfaction. This can be said to reflect the tendency of single-person households to give weightage to healthy eating and to purchase products that can be consumed conveniently.

The purpose of this study is to analyze the characteristic of quality attributes of smart hotels by using a SERVQUAL-IPA model, focusing on Chinese, which has the most proactive approach for the adoption of smart hotel system. Toward this goal, six quality factors—tangibles, reliability, assurance, responsiveness, empathy, and playfulness—were extracted through factor analysis, and IPA was used to appraise the degree of importance and satisfaction for each quality attribute. As a result of the SERVQUAL-IPA model, quality attributes were categorized into four groups of 'keep up the good work,' 'possible overkill,' 'low priority,' and 'concentrate here.'. Furthermore, it was concluded that there is a need to focus on the following elements: ‘smart devices can assist customers in emergency situations’, ‘when the room control system identifies customer needs, the staff can provide prompt service’, ‘development and improvement of mobile applications that enable customers to control room amenities’, ‘regular maintenance for smart devices’, and ‘providing data-driven personalized recommendations through customer activity data analysis’.

This study aims to investigate how consumers perceive the attributes (ubiquity, continuity) of metaverse fashion brands in a virtual space. It also empirically verifies the impact on consumers’ perceived values (hedonic value, social value) and consumer behavioral intentions (intention to use the platform, intention to purchase virtual products). The results verified in this study are as follows: First, we confirmed that the metaverse attributes perceived by consumers in the virtual space of the fashion brand, ubiquity and daily extension, positively affect customers’ perceived hedonic and social values. Second, we found that consumers’ perceived hedonic and social values have a significant positive effect on their intention to use the platform. Finally, we found that consumers’ intention to use the platform had a significant positive effect on their intention to purchase virtual products. The results of this study will have academic significance by expanding the scope of research related to identifying metaverse attributes and values by identifying metaverse attributes and consumer values that perceived by consumers in fashion brands’ virtual spaces in the metaverse. This study suggests a direction and strategy for fashion brands to move forward in building virtual spaces on the metaverse platform. In this way, they can create perceived value for consumers that elicits positive consumer behavioral intentions.

Vertical takeoff and landing (VTOL) is a core feature of unmanned aerial vehicles (UAVs), which are commonly referred to as drones. In emerging smart logistics, drones are expected to play an increasingly important role as mobile platforms. Therefore, research on last-mile delivery using drones is on the rise. There is a growing trend toward providing drone delivery services, particularly among retailers that handle small and lightweight items. However, there is still a lack of research on a structural definition of the VTOL drone flight model for multi-point delivery service. This paper describes a VTOL drone flight route structure for a multi-drone delivery service using rotary-wing type VTOL drones. First, we briefly explore the factors to be considered when providing drone delivery services. Second, a VTOL drone flight route model is introduced using the idea of the nested graph. Based on the proposed model, we describe various time-related attributes for delivery services using drones and present corresponding calculation methods. Additionally, as an application of the drone route model and the time attributes, we comprehensively describe a simple example of the multi-drone delivery for first-come-first-served (FCFS) services.

In this study, based on previous research on personal broadcasting, we indirectly measured content quality, YouTuber attributes, user satisfaction, and behavioral intention, which are latent variables that cannot be directly measured, as measurement variables, and then measured theoretically between the latent variables. In order to analyze the causal relationship, we used a structural equation model to determine to what extent the content quality of the YouTube mukbang channel and the YouTuber's attributes influence behavioral intentions such as purchase, recommendation, and continued use according to viewers' satisfaction with use. We intend to analyze and verify the relationship between related variables. The research results are as follows. First, the value, relevance, timeliness, completeness, and data quantity of content quality were found to have no significant impact on user satisfaction. Second, the trustworthiness, expertise, attractiveness, and intimacy of YouTuber attributes were found to have a significant impact on user satisfaction, but the similarity of YouTuber attributes did not have a significant impact on usage. Third, user satisfaction was found to have a significant impact on behavioral intentions and purchase intentions. However, user satisfaction was not found to have a direct significant impact on recommendation intentions or continued usage intentions.

This study contemplates the effect of social media advertising attributes on consumers’ purchasing decisions in cosmetic products. It will serve as basic data for SNS’s advertising strategy and marketing that promotes cosmetics sales. This study conducted a survey and went through the analysis process of SPSS v.25.0 statistical program. Frequency analysis, exploratory factor analysis, descriptive statistical analysis, correlation analysis, and regression analysis were conducted to analyze that informativity, reliability, entertainment, interactivity, and disturbance among SNS advertising attributes were used as effective advertising strategies, which had a positive effect on consumers' purchasing decisions. Therefore, in the cosmetics industry, it is necessary to seek strategies to actively utilize marketing in the social media space to promote consumers' purchase needs and to activate purchases.

This study examines options to revitalize a B2B textile trading platform, exploring user satisfaction and perceptions of the importance of several website features. Between June 8 and June 21, 2023, fashion studies majors and domestic fashion brand product planners were asked to use the website of an open B2B textile platform for 30 minutes and then evaluate its features by responding to a survey. The final sample for analysis wad comprised of 150 questionnaires. To analyze the key textile website features, a paired t-test, Importance-Performance Analysis (IPA), and multiple regression analysis were utilized. The analysis classified the key textile website features related to user importance and satisfaction into the following categories: convenience, appearance, product information, and uniqueness. An analysis investigation of the differences in importance and satisfaction for each website evaluation attribute found significant differences in 12 attributes. The IPA analysis revealed that attributes such as product reliability, quality, a convenient search function, and convenient page movement are highly important to users and garner high user satisfaction; these findings demonstrate the importance of maintaining these elements. Images on the main screen, the latest trend information, and product prominence attributes also garner high importance ratings, but result in low user satisfaction, which signifies extensive revision is required. Finally, user evaluation of the convenience, appearance, and product information of the website was found to affect user recommendation intention.

본문은 최근 중국어 연구에서 화두로 떠오르는 ‘양범주’ 이론을 통해, 품사분류의 기준으로 작용하는 의미범주나 어법범주가 어떻게 양화(量化)되어 나타나는지를 명 사의 속성 대립을 통해 간략히 고찰해 보았다. 본래 ‘양범주’ 분석은 실사의 속성을 기반으로 범주를 분석한 것으로, 명사의 공간성과 동사의 시간성, 그리고 형용사의 정도성을 제시하고 있다. 중국어에서는 개별 단어의 품사 경계가 모호함으로, 본문에 서 제시하는 명사의 양범주는 구문에서 체언으로 기능하는 성분이 어떻게 양화(量 化)되어 명사성을 드러내는지를 의미와 기능으로 구분하여 살펴보았다. 또 체언의 속 성 양범주인 공간성을 구성하는 ‘공간량’과 ‘물량’이 실제 구문에서 어떻게 인지되는 지를 ‘방위사와 ‘양사’의 대비분석을 통해 접근해 보았다.

Consumption market research was conducted on gradually increasing vegetarians using various selection attributes. Factors were extracted to identify vegetarian selection attributes and to divide the study cohort into groups, continuous variables (health, animal welfare, eco-friendliness, religion, familiarity, convenience, stability, and cost) and categorical variables (age, marital status, vegetarian duration, and vegetarian frequency) were simultaneously subjected to two-step cluster analysis. Cluster 1 contained high proportions of 20-29 and 30-39 year-olds, which are MZ-generation age groups. A high proportion had a vegetarian duration of 1-3 years, and the popular reasons for vegetarian selection were animal welfare and eco-friendliness. Cluster 2 contained high proportions of 50-59 and 40-49 year-olds, and many in this cluster were married, and mean vegetarian duration was ≥15 years. In addition, significant differences were observed between Clusters 1 and 2 in terms of religion, health, familiarity, cost, stability, and convenience. This study should contribute significantly to predicting vegetarian consumers’ selection decisions and consumption behaviors and provide reliable marketing data for foodservice companies that develop vegetarian foods.

This study evaluated the consumers’ demands and points of improvement for restaurant meal replacement through importance–performance analysis by the restaurant meal replacement segment market using food involvement. The results were as follows. First, after segmenting the restaurant meal replacement market using food involvement, it was classified into three markets (multiple involvements, exploration-oriented, and product quality-oriented). Second, an analysis of the importance of restaurant meal replacement selection attributes revealed taste, sanitation, quality, freshness, price, saving time, texture, ingredients, preparation process, and quantity to be highly important. An analysis of the differences according to the market type revealed the multiple involvement type to be more important than other groups, considering the restaurant meal replacement selection attribute element. Third, an analysis of the importance-performance analysis of restaurant meal replacement selection attributes revealed that quantity and price as the selection attributes that needed to be improved first in all three markets. In addition, in the multiple involvement type, food additives appeared as a selection attribute requiring priority improvement, revealing the characteristics of a market that cares about diet and health.

This study was performed to investigate immune changes by comparing the proportion and function of immune cells in the blood under high-temperature period and convalescence temperature period in Holstein dairy cows. The experiment was conducted using Holstein dairy cows of five animals per group (60 ± 20 months old, 175 ± 78 non-day) from the National Institute of Animal Science at high-temperature period (THI: 76 ± 1.2) and convalescence temperature period (THI: 66 ± 1.3). Complete blood count results showed no change in the number of immune cells between groups. In the analysis using Flow Cytometry of PBMCs, no significant differences were observed among B cells, Helper T cells, cytotoxic T cells, and γδ T cells between groups. However, there was an increase in Th17 cells producing IL-17a, while Th1 cells decreased during the convalescence temperature period. The results of gene expression analysis using qRT-PCR in PBMCs revealed an increase in IL-10 during the convalescence temperature period, while a decrease in HSP70 and HSP90 was observed. In conclusion, the increased expression of IL-10 and the decrease in HSP expression suggest the possibility of a weak recovery from heat stress. However, the lack of observed changes in B cells, T cells, and other immune cells indicates incomplete recovery from heat stress during the convalescence temperature period.

In the last five decades, there has been a consistent decline in the total catch of fisheries in the Korean jurisdiction since the peak in 1986. The decline in catch slowed and slightly rebounded in the 2000s, but changed back to a decline in the 2010s. As indicators that can identify changes in the marine ecosystem, trophic level (TL), biodiversity index (H'), and the ratio between pelagic fish and demersal fish (P/D) were analyzed by each local marine ecosystem. There were some different changes in each local marine ecosystem, but the mean TL and H' decreased and P/D increased in general in Korean waters. Demersal fish, which were dominant in the 1970s and 1980s, declined, and small pelagic fish and cephalopods have dominantly changed since the 1990s. However, these changes are not simple, and they are fluctuating in complex ways relating to each marine ecosystem and the timing. It is believed that changes in marine ecosystems in Korean waters are likely caused by a combination of fisheries and climate change. The ecosystem indicators reflected a change in the total catch, a sharp drop in catch of demersal fish, and increasing catch of pelagic fish since the mid-1980s.