Recently, there are some outdoor floor advertising lighting devices as one of the active marketing methods. However, for outdoor use, there are many restrictions due to the Outdoor Advertisement Act, according to requiring high-output heat generation, waterproofing, and AC power, etc. The purpose of this study is to develop a Duo Light product optimized for indoor use through publicity and information guidance in normal times and automatic evacuation route guidance display in case of disaster, in conjunction with disaster safety. To that end, patent search and patent association analyses were conducted, and a comparative analysis with commercial products was conducted as a case study. In addition, prototypes were designed and produced through the review of operation principles, where field environment surveys and self-tests were conducted. Also, technology roadmaps were presented by preparing plans for expandability and advancement of products. For the analysis of technology commercialization, the feasibility of technology commercialization was examined through the analysis of Jolly’s Model and Lean Canvas Model. The results of this study will be able to contribute to minimize human damage through the effective response to disasters, which can increase the effect of indoor advertising by using the proposed indoor floor advertising lighting device in advertising and disaster situations.

Recently, the importance of impact-based forecasting has increased along with the socio-economic impact of severe weather have emerged. As news articles contain unconstructed information closely related to the people’s life, this study developed and evaluated a binary classification algorithm about snowfall damage information by using media articles text mining. We collected news articles during 2009 to 2021 which containing ‘heavy snow’ in its body context and labelled whether each article correspond to specific damage fields such as car accident. To develop a classifier, we proposed a probability-based classifier based on the ratio of the two conditional probabilities, which is defined as I/O Ratio in this study. During the construction process, we also adopted the n-gram approach to consider contextual meaning of each keyword. The accuracy of the classifier was 75%, supporting the possibility of application of news big data to the impact-based forecasting. We expect the performance of the classifier will be improve in the further research as the various training data is accumulated. The result of this study can be readily expanded by applying the same methodology to other disasters in the future. Furthermore, the result of this study can reduce social and economic damage of high impact weather by supporting the establishment of an integrated meteorological decision support system.

현재까지 전세계적으로 Periphyllus allogenes (개성진사진딧물)은 무시성충세대에 대한 형태학적 정보만이 보고되었다. 본 연구에서는 2021 년부터 2022년까지 한국 가평군, 홍천군에서 그동안 P. allogenes의 알려지지 않았던 간모, 유시성충 세대를 채집하여, 이들에 대하여 형태학적 정 보, 분포지역, 기주식물, 생태 사진을 처음으로 보고한다.

본 연구에서는 한국산 미기록속인 밑들이자루맵시벌속(신칭)과 미기록종인 밑들이짧은자루맵시벌(신칭)을 처음으로 보고한다. 밑들이자루 맵시벌속은 잎벌류에 기생하는 것으로 알려져 있으며, 배마디 끝부분이 위쪽으로 굽어져있는 것이 특징이다. 본 논문에는 미기록속, 미기록종의 기 재문과 사진을 제공한다.

In recent years, young Chinese consumers have become more favorably inclined toward products relating to traditional culture. Therefore, this study aimed to develop a textile design that incorporates traditional Chinese patterns and cultural symbolism that will appeal to consumers from the MZ generation (millennials and Generation Z). Through a literature search for traditional Chinese patterns and symbols regarded as auspicious, our design concept and motives were established. We selected peony, lotus, and frog motifs as representative of a “wealth and eternal prosperity” design theme. In textile design work 1, we used hand drawing and watercolor techniques, color transformation with Adobe Photoshop, and colorway and end-use 3D simulation with TexPro. The 3D simulation work suggests that this textile pattern is suitable for women’s outerwear, mufflers, and tote bags. Textile design work 2 conveyed the ‘wealth and eternal prosperity’ design theme and had a graceful mood that embodied the nobility of the lotus flower whilst also encompassing the symbolism of money and status. The end design is a modern reinterpretation of traditional Chinese patterns and motifs. As such, it is hoped that it will satisfy the needs of young consumers for cultural values yet offer a unique new aesthetic distinct from existing textile designs. These qualities can be expected to enhance the competitive market value of textiles bearing this design.

The online shopping market is expanding, with online shopping malls now subdivided into personal computer(PC) and mobile versions. Meanwhile, various efforts to promote online sales are being carried out in a bid to improve performance, and detailed research is required to inform such strategies. The purpose of this study was to classify online shopping mall types into PC fashion malls and mobile fashion malls with the aim of assessing sales promotion satisfaction and investigating the relationship between sales promotion satisfaction and consumers’ behavioral intentions. Data were collected by a survey firm in June 2023, and 248 copies of the data were used for analysis. SPSS 28.0 was used to process the data, and frequency analysis, factor analysis, reliability analysis, and regression analysis were performed. The satisfaction factors for various sales promotions used by PC and mobile fashion shopping malls were empirically subdivided in consideration of consumer perspectives, and potentially effective marketing strategies were presented. Differences were observed in the type of satisfaction with sales promotion between PC fashion shopping malls and mobile fashion shopping malls and in the effect of sales promotion satisfaction on behavioral intention. Based on the study’s findings, effective sales promotion strategies that can increase satisfaction and enhance behavioral intention may be developed and implemented through the use of various and different sales promotion strategies in PC and mobile fashion shopping malls.

The objective of this study was to explore the symbolism associated with phoenix patterns in China and the temporal aesthetic characteristics of these patterns found in Dunhuang Mogao Grottoes. The study involved collecting examples of clothing designs featuring phoenix patterns from China Fashion Week and the Vogue website, spanning from spring and summer of 2016 to fall and winter of 2022. After collecting and organizing these examples, representative cases were selected for analysis. The objective was to identify effective techniques for incorporating phoenix patterns within the context of Dunhuang Mogao Grottoes and provided insights for future clothing design and textile pattern design research. Phoenix patterns boasted a lengthy history and were laden with symbolic meaning. Early renditions of phoenix patterns found at Mogao Grottoes in Dunhuang were relatively simplistic in design, mainly employing elements like rhythm, coordination, balance and symmetry to convey a sense of nature and gravity. Over time, these patterns evolved under the influence of the prevailing cultural backdrop, employing repeated emphasis to portray notions of abundance and tenacity. Furthermore, regarding the use of phoenix patterns in clothing, there were four prevalent expression techniques: embroidery, beading, printing, and knitting. Traditional techniques like embroidery and beadwork often prioritized aesthetic features like coordination, emphasis, and symmetry, thereby showcasing the opulent characteristics of phoenix patterns. On the other hand, printing and knitting techniques used a single phoenix pattern or a modified version to simplify designs by emphasizing or repeating aesthetic characteristics while adhering to a modern artistic approach.

We investigate the provenance of detrital garnets in Middle-Upper Jurassic sandstone of the Mino terrane, an accretionary complex in Southwest Japan, based on their chemical composition. The garnet grains in the Mino sandstone are mostly Fe-rich (almandine) and slightly Mg-rich (pyrope) species derived from high-grade metamorphic and intermediate to acidic plutonic rocks. The composition and interpreted origin of the garnets are generally consistent with those of metamorphic and igneous rocks of the Yeongnam Massif on the Korean Peninsula, a possible source region suggested in previous studies. In addition, two single grains of chromian spinel, an accessory mineral found in mafic to ultramafic rocks such as mantle peridotite, were found in one of the Mino sandstone samples. This finding suggests the possible presence of mafic to ultramafic rocks in the source area. The results of this study provide complimentary evidence for establishing a comprehensive tectonic and paleogeographical framework for the Mesozoic East Asian continent.

예이츠는 아일랜드의 음유시적 전통과 당대 유럽의 지식사회에서 강한 영향력을 발휘한 부동의 미학을 연결지어 본인만의 독특한 비극론을 전개한다. 유럽 상징주의 드라마가 자신의 연극론 형성에 갖는 잠재력을 예리하게 간파한 예이츠는 특히 벨기에 극작가 모리스 마테를링크가 주창한 “정적 드라마”에 영향을 받는다. 동시에 그리스비극을 아폴로와 디오니소스적 욕망 사이에 존재하는 긴장의 산물로 바라보는 니체의 비극 철학에 매료된다. 본 연구는 예이츠의 비극 이론을 니체철학과 마테를링크의 극이론의 창의적 수용이라는 관점에서 바라보고 분석하며 그 장단점을 논의한다. 특히 ‘비극적 환희’라는 극적 효과가 극형식과 연계되는 지점에서 발생하는 문제들에 주시한다. 예이츠는 그가 가졌던 사실주의에 대한 강한 반감 때문에 마테를링크의 일상성과 니체의 아폴로적인 욕망에서 보이는 형식의 중요성을 간과하게 된다.

This study aimed to establish the optimal conditions for producing gluten-free noodles by varying the amount of pregelatinized rice flour added to the regular rice flour and investigating their quality characteristics. With an increase in the amount of added pregelatinized rice flour, the brightness of the noodles decreased, and the color became more yellow both before and after cooking. Adding pregelatinized rice flour to the noodles also increased hardness, elasticity, chewiness, stickiness, and adhesiveness. The textures of the two groups of samples (PR-10 and PR-15) were similar to that of the control, indicating comparable structural characteristics. Furthermore, the absence of gluten made it inherently challenging to form gluten-free noodles. Still, adding pregelatinized rice flour improved the processability of the dough, leading to better noodle formation. An optimal addition of 15% pregelatinized rice flour was deemed suitable for optimal noodle formation in gluten-free noodles. This study established blending conditions using pregelatinized rice flour to improve the poor processability of gluten-free noodles. The findings are expected to be valuable for the industry’s future development of gluten-free processed food.

In recent years, the marketing literature has given considerable attention to the concept of online consumer misbehaviour. However, this increased interest has resulted in a significant accumulation of knowledge, leading to fragmentation and confusion in the field. This situation has serious implications for both researchers and practitioners, as it impedes the development of a coherent and unified understanding of the field. To address this issue, this paper presents a systematic review aimed at consolidating and organizing the available research on online consumer misbehaviour. The paper provides a conceptualization and operationalization of the concept of OCM. Additionally, the paper identifies and discusses the existing theories used in the field of OCM research.

This paper explores the relationships of various cognitive, attitudinal, and behavioural responses of e-discount sales promotion technique preferences consumers have when making purchases through online food delivery services (OFDS). This paper highlights new findings towards expanding e-discount and sales promotion literature and thus provide relevant implications.

From the standpoint of developing a transformative service to create improvements in collective wellbeing (Anderson & Ostrom, 2015), evidence of a sport–resilience relationship is gradually accumulating in the literature (Kim et al., 2022). Sport management and social science scholars are making considerable efforts to understand how sport entities with transformative services can contribute to consumer resilience—an intervention through a sport consumption experience that affects people’s abilities to cope with adversity (Inoue et al., 2022; MacIntosh et al., 2020). However, little is known about the sport industry and spatial consumer behavior in terms of consumer resilience. Although previous researchers have identified a macro-level association between sport industry and community resilience from a bird's eye view (Kim et al., 2021), it could not determine how and where sport industry at a macro level can be related to individual-level resilience through metaphors of Consumer Desire. Specifically, the spatial patterns of sport consumption (i.e., consumer spatial behavior) can be a result of sport consumer behavior affected by spatial context upon heterogeneous features of sport industry across regions (Kim et al., 2021) in the environment–behavior paradigm (Olsson & Gale, 1968). The macrolevel clustering of the sport industry in a region (environment) can be a community resource to provide individuals with the opportunity for sport consumption (behavior), which promotes the micro-level psychosocial factors for sport consumer resilience (Inoue et al., 2022). Furthermore, recent work illustrates heterogeneous spatial interaction at the regional level of the sport industry and individual-level sport consumption (Kim et al., 2022), suggesting the elaboration of cross-level spatial interaction models (Kim et al., 2021). Accordingly, in this study we aim to not only (a) determine spatially heterogeneous interactions in the association between sport industry and consumer spatial behavior in affecting consumer resilience, but also (b) identify what effect spatial interaction has on cross-level relationships. Using data focused on a multiscale-based nested geographic structure (e.g., individual-level consumption by zip code, county, state, and nation) that could elucidate the sport consumer spatial behavior, We collected multiple types of data from Florida, including the location quotient of the main seven sport industries (e.g., sport facilities) and socioeconomic factors (e.g., social vulnerability) at the county level from secondary sources. In addition, we acquired individual-level data from Qualtrics panels (1,107 Florida residents) to measure sport consumer spatial behavior (e.g., location-based sport consumption experience) and consumer resilience using the Connor-Davidson Resilience Scale. To address spatial interaction and heterogeneity, we used a comprehensive analytical model for global and local spatial analysis, including a spatial multilevel mediation (SMM) model and multiscale geographically weighted regression (MGWR) model. As a result of the SMM model, the county-level cluster of sport facilities affected individual-level participatory sport consumption, which enhanced consumer resilience (cross-level interaction effect). However, considerable spatial non-stationarity appeared in the spatial interaction, indicating interregional interactions in the cross-level effects within a county. The results of MGWR indicated significant spatially heterogeneous patterns in the association between the cluster of sport facilities and participatory sport consumption. That is, it was clarified that the spatial heterogeneous effects of the clustering of sport facilities on sport consumer spatial behavior are associated with consumer resilience. This empirical interdisciplinary work, including sport management, geography, and consumer psychology, advances knowledge of consumer spatial behavior and resilience by demonstrating heterogeneous spatial interactions. Practically, the current study calls for spatial management planning and strategy in sport industry for enhancing consumer resilience through spatial sport consumption, considering spatially varying patterns.

As interactive marketing devices that serve as proximity-marketing tools, AI-powered voice assistants (VA) provide consumers with highly innovative convenience, which in turn fosters consumer–brand relationships (Wang, 2021). This research aims to explore the role of AI-powered VAs as a positive technology that offers consumers a sense of positive experiences, thus contributing to building a consumer-brand relationship. Based on the positive technology paradigm and transformation of flow strategy, this research conducted a 2 (locus of agency: high, machine-centric vs. low, human-centric) by 2 (brand image and voice congruency effect: incongruent vs. congruent) between-subjects experimental design. Then, ANOVA and structural equation modeling (SEM) analysis were conducted to explain how perceived control, flow, and happiness induced by the interaction with brands’ AI-powered VAs lead to the formation of brand loyalty under the moderating influences of brand image and VA’s voice congruency. A total of 316 participants were recruited via Prolific. The ANOVA analysis highlights the importance of user-centric agency, as people tend to desire to control their environment (White, 1959). Further, the results suggest that the congruency between brand image and VAs also leads people to positive reactions, as it improves their comfort and control (Rodero, Larrea, & Vázquez, 2013). SEM analysis results found that perceived control was a crucial factor that led participants to flow experience (Ghani et al., 1991). Further, this study found that perceived control could lead to a much broader aspect, such as an increase in happiness. Therefore, the overall study findings support the potential of AI-powered VAs as a positive technology. This research contributes to human-machine interaction, positive technology paradigm, and VA literature. In addition, this study provides beneficial insights for marketers and app developers.

Synced advertising (SA) has grown in popularity due to its ability to facilitate multitasking and personalize ads to the media content users consume. Research on the effects of SA has been limited, but it has been suggested that repetition and personalization with SA will lead to a stronger, lasting impression. However, there are concerns that SA could be perceived as intrusive and lead to privacy issues. This study seeks to explore how the consumer paradox between perceived relevance and privacy concerns may affect the outcome of the advertisements.

While machine learning has gained popularity in choice behavior modeling, most machine learning models are often complex, difficult to interpret, and even considered as black box. This study investigates machine learning methods for choice behavior modeling that provide interpretability of models’ output. We explore various approaches including (1) explicitly descriptive models such as tree-based models, (2) interpretation of predictive models through feature importance measures, and (3) recent advancements in prediction explanation methods such as LIME and SHAP (Shapley Additive exPlanations). We demonstrate the methods on consumers’ airport choice behavior in Seoul metropolitan area. Through the comparative analysis with traditional discrete choice models, we discuss advantages as well as limitations of machine learning models in consumer choice behavior modeling.

Measuring service quality and related key dimensions has been an important problem in Marketing. In this research, we would introduce a smart methodological framework to efficiently identify refined, key sentiment dimensions for measuring the service quality using both traditional survey and unstructured online reviews (natural survey). The proposed framework consists of three parts: (1) steps for preprocessing the unstructured reviews to generate attribute-level sentiments for independent variables (2) Bayesian regression to efficiently identify key groups of correlated attributes and (3) post-hoc analysis for identifying dimensions from the selected groups of correlated attributes and predicting dimension-level effects. Note, the first part of the framework (i.e., preprocessing) is not required for analyzing traditional surveys. Our framework provides two sets of complementing results such as attribute-level effects under the identified dimensions and aggregate dimension-level effects. In the first application study to traditional SERVQUAL data, we successfully validated the proposed framework by comparing the results between our framework and three commonly used existing methods of regression, lasso regression, and factor analysis. In the second empirical application study with the online reviews from a major game review website, STEAM platform, we found that our framework provided a significantly reduced number of key dimensions which were surprisingly efficient for predicting and explaining the service quality ratings, compared with the same set of compared methods in the first study plus the topic model. In particular, with reviews of 2,825 games, three key dimensions of Mechanical playability, Fun in fantasy and Money for value were identified, and we also found that the Mechanical playability could be an important driver of game popularity.

Due to the rapid development of technology, the environment is rapidly changing, and new regulations are emerging in the global society. In addition, environmental and social problems such as the pandemic and deepening social polarization have intensified, and the international community and investors have begun to regard ESG as a key factor in decision making. Regulations and systems reflecting ESG elements, such as the Carbon Neutral Act to cope with environmental problems and the Serious Disaster Act to cope with social problems, have already been enacted and implemented in major countries such as the EU and the Republic of Korea. In particular, the EU is pushing to publish ESG disclosure standards and make ESG disclosure mandatory next year. Given this trend, companies should consider ESG management as their business key strategy, as well as consumer characteristics and regulation.

Artificial intelligence (AI) is transforming healthcare, yet little is known about how consumers experience and make decisions regarding follow-up care with medical AI. We take an interdisciplinary approach combining behavioral research and neuroscience to examine how anthropomorphism and personalization influence well-being and follow-up decisions. Study 1 found that consumers felt well-being after interacting with a highly personalized interaction, whether human or AI doctor. However, they preferred follow-up visits with the human doctor. Empathy mediated these effects. Study 2 used fMRI to show that the anterior cingulate cortex had greater activation when interacting with the human doctor, indicating more emotional processing and conflict resolution. These findings suggest that medical AI cannot currently replace human doctors, who remain vital for actual medical consultations and treatment. However, consumers viewed AI doctors positively and expressed a belief that AI will enhance well-being. By integrating neuroscience, this research provides biological evidence complementing behavioral findings.

As ESG (environmental, social, and governance) has become a major business trend, many firms put ESG into their business practice to fulfill market and stakeholders' demands (Wang et al., 2016). With a growing emphasis on ESG, firms must decide how to integrate ESG into their organizational strategy. Although ESG is a popular business trend, it is meaningless if ESG reduces firm value. For successful ESG implementation, ESG strategy must be integral to the business model (Duque-Grisales and Aguilera-Caracuel, 2021). With the integration of ESG into the firm's business process, sustainable activities enable firms to improve their economic and social performance by tapping into the synergies between business and societal agendas (Duque-Grisales and Aguilera-Caracuel, 2021). Core competence refers to an organization's accumulated strength compared to other organizations in the industry (Wheelen, 2019). It is the unique integration of leadership, technologies, specialized skills and knowledge, organizational culture, and the working possesses (Wheelen, 2019). Even though the literature on ESG emphasizes integrating ESG into firms’ core capabilities, there are only a few studies that developed ESG implementation and integration framework in specific dimensions (Fatima & Elbanna, 2022) and the literature shows mixed results. Since previous research presents unclear results regarding ESG implementation and firms' core competencies, this study aims to 1) investigate how ESG strategy could integrate with firms' core competencies and 2) clarify ESG embeddedness drivers. The findings provide significant implications for academics and managers by clarifying how firms can enhance their value through ESG with firms' core competencies.