Recently, the luxury sector has witnessed a significant rise in luxury consumption, reaching £233 Billion in 2022 (Statista, 2022). This rise demonstrates the growing popularity of the luxury consumption phenomenon globally. However, the climate crisis may impact future trends in luxury consumption (Gardetti and Muthu, 2019). The luxury sector has endorsed a considerable growing demand for sustainability from environmental and ethical luxury consumers. In recent years, concerns have grown around the ethicality of supply chains, where consumers develop contradictory feelings and beliefs, veering between conscious and hedonistic decision-making (Kleinhaus, 2011; Helm, 2020; Wang et al. 2021). Moreover, consumers face a conflict between choosing what they believe is ethically right and indulgence (Hennigs et al. 2013). The supply chain plays an important role in achieving sustainability goals, and yet some researchers argue that the luxury supply chain can involve ethical and environmental breaches in terms of labour and raw materials, such as use of leather and fur (Klerk et al. 2018). However, some luxury brands such as Stella McCartney and Vivienne Westwood are focused on sustainability and the use of vegan raw materials (YNAP, 2021).

Prejudice refers to ideas, beliefs, feelings, and attitudes that people have about other less familiar groups as a whole or individuals within those groups, based on their perceived group membership (e.g., race, class, gender, and religion. Prejudice has become increasingly of major importance to scientific thinking about relations between groups. However, little is known about how prejudice affects consumer buying behavior, especially regarding shopping activities that involve crossing between suppliers.

Consumer brand engagement has recently drawn attention for researches because of its importance in predicting brand loyalty. Meanwhile, social media is used as digital marketing tools for marketers to attract and engage younger consumers. This study aims to answer the question whether social marketing efforts by fashion brands on major social media platforms have influence on consumer brand engagement in the context of Vietnamese fashion brands. Social marketing efforts include five dimensions of entertainment, interaction, trendiness, customization and word-of-mouth. Although social marketing efforts has been examined in relationship with other important marketing concepts such as brand equity and customer equity (Godey et al., 2016; Kim and Ko, 2012), few studies have investigated its effect on consumer brand engagement, especially in fashion brands. Besides, Vietnam as an emerging market is witnessing considerable changes that social media brings to every field including fashion markets. It is noticeable that more and more fashion brands in Vietnam are trying to expand and advance their marketing strategies on social media to engage consumers. In this study, a self-administered online survey was delivered to Vietnamese consumers, which included 281 valid responses who followed Vietnamese fashion brands on Facebook or Instagram. The empirical results show that social media efforts engage consumers differently on brand engagement dimensions. The key finding indicates that entertainment and word-of-mouth are positively related to brand engagement in affective, cognitive and behavioral dimensions. Interaction is positively related to affective and behavioral brand engagements. Trendiness is positively related to behavioral brand engagement. Finally, customization is positively related to cognitive brand engagement.

The objective of this study is to compare the efficiency of VR and 2D in the tourism industry as marketing tools, using affective forecasting and purchase intention. Accordingly, this study has two primary research aims. The first is to examine if a higher level of mental imagery (resulting from VR) is more effective than a lower level (2D) in a tourism marketing context. To evaluate this, the researchers use experimental method, measuring predicted dominance, predicted pleasure and predicted arousal, as well as purchase intention towards the hotel. Relevant to the tourism industry, tourism products are spatially and temporally distant (vs. near). This study aims to investigate how differently mental imagery, resulting from VR (versus 2D) experience, generates affective forecasting of a tourism product when tourists plan distant (versus near) future trips (temporal distance).

With the popularity of live streaming commerce, the characteristics of streamers and products subtly influence consumer behavior through visual live streaming form. Based on dual-process theory, this paper develops a comprehensive theoretical model to examine how consumer perceived streamer characteristics and product characteristics influence streamer attractiveness and product attractiveness, and explore how consumer behavior inertia is affected by streamer attractiveness and product attractiveness. An online survey consisting of 300 participants was recruited to empirically examine the proposed research model. The results indicated that consumer perceived streamer characteristics and product characteristics are important factors affecting the streamer attractiveness and product attractiveness, which in turn positively affect consumer’s shopping experience memory, which further influence consumer behavior inertia. In addition, the moderating effects of mindfulness are also examined.

With the rise of social media platforms, influencer marketing has become an essential tool for marketers to promote their products and services. Value co-creation behavior of influencers involves collaborating with their followers and brands to create content that provides value to their audience. This approach can help to build stronger relationships with followers and drive engagement and sales for the brands they work with.

Today’s society has become increasingly sensitive to humanity’s impact on the environment. Corporations are now measured by their scores pertaining to the environment, sustainability, and governance, or benchmarked for their level of corporate social responsibility. Another dimension of individuals’ environmental practices is purchasing merchandise such as clothing in the secondhand market. Consumers’ intention to buy in the secondhand market is rarely just related to economic concerns regarding such purchases, but rather to a deliberate nod to utilizing products fully rather than wasting them, therefore helping to reduce the negative environmental impact caused by human activities.

Digitalization is a prevailing force in the marketplace and unquestionably a key topic on the strategic agenda of many firms (e.g., Balsmeier & Woerter, 2019). Alongside, research into managing digitalization has also strongly increased in recent years (Svahn, Matthiasen, & Lindgren, 2017; Ritter & Pedersen, 2020). Hofacker, Pillai, Golgeci & Gligor (2020, p. 1162) claim “Artificial intelligence, blockchain, data security/integrity, Internet of Things, and big data analytics are just some possible digital trends that can shape how B2B relationships are understood and managed”. Despite this increasing interest, the number of works within the scope of business-to-business (B2B) exchanges is still limited (Obal & Lancioni, 2013; Pagani & Pardo, 2017; Gomes et al., 2022; Matt, Pedrini, Bonfanti & Orzes, 2023) and there any many unexplored or underexplored phenomena.

Based on the metaverse situation, this paper explores the influence of perceived usefulness and usability on brand experience. The brand experience include two dimensions of sensory experience and behavioral experience. And then, based on 329 valid data collected through online experiment, it makes an empirical analysis by structural equation model and hierarchical regression. Results show that, metaverse situational perceived usefulness and usability have significant effects on customer sensory experience and behavioral experience, and sensory experience plays a mediating role in the effects of usefulness and usability on behavioral experience. Social presence plays a positive moderating role in the influence path of usefulness and usability on sensory experience and behavioral experience.

The purpose of this paper is to explore underlying antecedents for inconspicuous luxury motivations by developing and testing a conceptual model under the self-concept mechanism with the influence of cultural capital. A questionnaire-based survey is used to collect data, and structural equation modeling is applied to analyze the data. Although growing interests in academia focus on the relationship between cultural capital and inconspicuous luxury, quantitative studies are scant. This research contributes to the literature by empirically investigating the impact of cultural capital in the relationship within the construct of consumers’ self-concept and inconspicuous luxury motivations.

The rise of social media has brought the existence of “foodie” and “food bloggers” in the culinary business. The word “foodie” refers to those who highly favor and engage with food and spend a substantial amount of time collecting culinary experiences and visiting famous restaurants, while a food blogger is an individual or a foodie who uses a communication platform to share recipes and passion for food through reviews based on his or her experience. Culinary businesses use food bloggers to help promote their products and encourage consumers to try their products, which are believed to be effective as the viewers or the followers tend to take their recommendations.

Emojis have become an important element in human-chatbot interaction to communicate emotion. In addition to facilitating emotional communication, emojis are able to engage consumers, enhance relationship strength and influence consumer behavioural intention. Therefore, it is crucial to understand how the use of emojis affects customer-chatbot rapport and purchase intention in the consumption context.

In this experimental work, a p-type c-Si (100) substrate with 8 × 8 × 2 mm dimension was taken for TiCN thin-film coating deposition. The whole deposition process was carried out by chemical vapor deposition (CVD) process. The Si substrate was placed within the CVD chamber at base pressure and process pressure of 0.75 and 500 mTorr, respectively, in the presence of TiO2 (99.99% pure) and C (99.99% pure) powder mixture. Later on, quantity of C powder was varied for different set experiments. The deposition of TiCN coating was carried out in the presence of N2– H2–TiCl4–CH3CN gas mixture and 600 ℃ of fixed temperature. The time for deposition was fixed for 90 min with 10 and 5 ℃ min− 1 heating and cooling rate, respectively. Later on, heat treatment process was carried out over these deposited TiCN samples to investigate the changing characteristics. The heat treatment was carried out at 800 ℃ within the CVD chamber in the absence of any gas flow rate. The morphological properties of heat-treated samples have been improved significantly, evidence is observed from SEM and AFM analyses. The structural analysis by XRD has been suggested, upgradation in crystallinity of the heat-treated film as it possessed with sharp and higher intensity peaks. Evidence has been found that the electrochemical properties are enhanced for heat-treated sample. Raman spectroscopy shows that the intensity of acoustic phonon modes predominates the optic phonon modes for untreated samples, whereas for heat-treated samples, opposite trends have been observed. However, significant degradation in mechanical properties for heat-treated sample has been observed compared to untreated sample.

The pataphysics implemented by digital technology differs from the form of objects in the real world and is used throughout the cultural industry. This study aims to analyze the expression method of pataphysics as applied to modern fashion and derive its impact on the fashion industry. The research analyzes fashion images, shows, films, displays, and e-commerce, since 2016, when pataphysics began to be used in the fashion domain. Pataphysics, created by Alfred Zaire, appeared as an overlapping phenomenon that reflects physical phenomena in the virtual world. The expression method of pataphysics applied to modern fashion was divided into an augmented reality method based on immersion and interaction, a virtual platform-oriented metaverse, and a virtual model expressing a processed self. The influence of pataphysics applied to modern fashion is as follows. In the field of design, pataphysics affects the development of contemplative designs for innovation and creativity. Second, digital technology can expand the role of fashion at the intersection of art and fashion that takes a novel perspective through pataphysics. Third, e-commerce positively affects efficient production and consumption through virtual and economic models. In conclusion, this study’s findings are expected to play a positive role in promoting creativity and innovation by introducing new perspectives and ideas into modern fashion through pataphysics.

The present study examines the impact of COVID-19 anxiety on employees’ psychological resources and behaviors, drawing on the conservation of resources theory. We also investigate whether flexibility in work contexts has a meaningful effect on employees’ responses to the pandemic. A total of 284 working adults participated in an online survey consisting of self-reporting questionnaires that assessed levels of COVID-19 anxiety, vigor, innovative work behavior, and flexible working arrangements. The results showed that the level of vigor mediated the positive relationship between COVID-19 anxiety and innovative work behavior, and the perceived level of flexible working arrangements moderated this mediation effect positively. The findings highlight the importance of considering employees’ psychological resources and work arrangements in managing the negative impact of COVID-19-related anxiety. This study provides theoretical and practical implications for organizations to better understand the psychological processes that employees undergo during a crisis. Further research on diverse work settings and cultural backgrounds is needed to expand on the present findings.

본 연구는 COVID-19로 인한 사회적 거리두기를 경험한 대학생의 사회·정서적 고립감, 우울, 스마트폰 중독 간의 관계를 살펴보고 대학생의 스마트폰 중독에 영향을 주는 요인을 파악하기 위해 시도되 었다. 본 연구에 참여한 대상자는 4개 대학교에 재학 중인 220명이며, 자료수집은 구글 폼으로 설문지를 구성하여 시행하였다. 자료 분석은 SPSS/WIN 28.0 프로그램을 이용하여 변수의 특성에 따라 통계적으로 분석하였다. 본 연구 결과, 대학생의 스마트폰 중독은 사회·정서적 고립감(r=.44, p<.001), 우울(r=.51, p<.001)과 유의한 양의 상관관계를 보였으며, 대학생의 스마트폰 중독에 영향을 주는 요인은 성별(β =.176, p=.001), 주말 스마트폰 사용 시간 7-9시간(β=.387, p=.001), 10-12시간(β=.313, p=.006), 12시 간 이상(β=.299, p=<.001), 우울(β=.302, p<.001), 사회·정서적 고립감(β=.210, p=.004)이었다. 회귀모 형은 통계적으로 유의하였으며 (F=15.81, p<.001) 모형의 설명력은 43% (adj R2=.43, p<.001)였다. 따라 서 대학생의 스마트폰 중독을 예방하기 위해 사회·정서적 고립감과 우울을 감소시킬 수 있는 정신건강 증 진 프로그램을 개발하여 활용할 필요가 있다.

20대를 대상으로 하였던 대학이 최근에는 운영방식, 설립목적, 교육대상이 다양화되었다. 대학 의 수에 비해 급격한 학령인구의 감소로 대학(과)은 신입생의 확보와 재학생의 중도탈락 최소화를 위해 최 선의 노력을 기울이고 있다. 본 연구는 2년제와 4년제 일반대학과 원격대학의 미용관련 학과 재학생을 대 상으로 전공선택동기와 소속감이 학업지속의도에 미치는 효과를 실증하기 위해 온라인 설문을 진행하였다. 일반대학 119명, 원격대학 113명에게 수집된 자료를 SPSS.28를 이용해 분석한 주요한 결과를 요약하면, 일반대학은 전공선택동기는 학업지속의도에 미치는 영향이 유의미하지 않았으나 소속감은 유의미한 정(+) 의 효과를 미쳤다. 또한, 소속감이 높아지면 외적동기는 학업지속의도를 유의미하게 상승시키는 조절효과 가 나타났다. 원격대학은 전공선택동기 중 내적동기와 소속감이 학업지속의도에 유의미한 정(+)의 효과가 나타났으며 전공선택동기와 학업지속의도의 관계에서 소속감의 조절효과는 유의미하지 않았다. 결과적으 로 재학생의 학업지속의도에 있어 일반대학은 대학(과)의 소속감이 주요했으며 원격대학은 내적동기가 주 요했다. 이러한 결과는 재학생의 중도탈락 예방을 위한 대학(과)의 효과적인 정책 수립을 위한 의미있는 자 료가 될 것으로 기대된다.

본 연구의 목적은 의미 있는 대상의 선호도 판단에 영향을 미치는 것으로 알려진 원리인 내적 편향 원리와 규범적 관점 간의 상호작용 양상을 연구하는 데에 있다. 개별 개체의 친숙도가 규범적 관점에 영향을 미친다는 점 또한 고려 하여 친숙도 수준에 따른 두 선호도 원리의 작용 양상을 검증하고자 하였다. 이를 위하여 이중 대안 선택 과제를 활용한 행동 반응 실험을 진행하였으며, 친숙도 수준(높음/낮음)에 따라 각 8개의 단일 개체를 실험 재료로 하여 내 적 편향 원리 준수 여부와 규범적 관점 준수 여부를 조작하였다. 실험 결과, 내적 편향 원리를 준수한 상태에서 개체 가 제시된 경우가 내적 편향 원리가 위배된 상태로 개체가 제시된 경우보다 더 선호되었다. 선호 판단에 걸리는 반응 시간 또한 더 짧은 것으로 나타났다. 그러나 규범적 관점 준수 여부는 선택 빈도 및 반응 시간에 영향을 미치지 않는 것으로 나타났다. 더불어, 개체의 친숙도는 선호도 판단과 관련된 의사 결정에 간섭 요인으로 작용하는 것으로 나타났다. 이와 같은 결과는 개체 선호도 원리 중 내적 편향의 강도가 규범적 관점에 비해 더 우세하며, 단일 개체가 제시될 때 그에 대한 선호 판단에 있어서 그 개체가 가진 속성보다 시각적 문맥과의 상호작용이 중요하게 작용한다 는 것을 시사한다.

In KAERI, a site descriptive model for stress field estimation had already been constructed by using integrated field data within KURT site scale. A sub-divided rock block domain containing major fracture zones has spatial rock mass and fault properties. The properties were decided based on the rock classification results of several borehole investigations. Modeling for maximum and minimum horizontal stress field estimation was performed and compared with the in-situ data. As a result, a depth-dependent stress ratio was adopted to obtain numerical results closer to actual in-situ data. Although the results were suitable at a relatively low depth (~500 m), there is still some deviation trend at a deep depth. This study aims to improve these modeling results by incorporating not only depth-dependent stress ratio but also changes in rock mass properties along the depth. The deep borehole of DB2 in the KURT site indicated fracture distribution corresponding to the property changes. Natural fractures are typically randomly oriented, and the fracture frequency decreases with increasing depth. The increase in P-wave velocity log data accompanies these features. A discrete fracture network (DFN) model can be used to simulate fractured rock explicitly, but DFN modeling is not feasible for site scale analysis because of its numerical efficiency. Therefore, as a preliminary model in this study, the effect of fracture distribution was considered by substituting the influence for the depth-dependent property. The properties were estimated from the fracture frequency and P-wave velocity log data. The influence of elastic modulus and density on the site stress field was dominant, with decreasing the deviation trend between modeling and in-situ data at a deep depth. Considering that the depth of the repository construction is within about 500 m, it may not be necessary to consider the change of rock properties with depth. However, it was determined that the rock property effect might need to be considered when the loading conditions change due to subsidence in the long-term evolution scenario. Continuously, this site descriptive modeling will be interdependently conducted with a representative DFN block model for deriving equivalent properties in fractured rock.

본 연구는 팀발명의 정도에 있어서 상당한 차이를 보이면서 전자산업, 자동차산업에서 가장 많은 특허를 출원해온 삼성전자와 현대자동차 발명자들을 대상으로 네트워크 특성들이 발명 자들 간 혁신성과 차이를 가져오는지를 분석하였다. 네트워크 내에서 더 많은 발명자들과 연결 되어 있을수록 더 높은 혁신성과를 보였다. 기존 문헌들이 산업내 및 산업간, 그룹내 및 그룹외 파급효과를 조직 수준에서 다루었는데, 본 연구는 이러한 논의를 발명자 수준으로 확장하였다. 본 연구는 네트워크로부터의 파급효과풀을 새롭게 추가하여 네트워크 내외, 그룹 내외, 산업 내외의 3가지 차원에서 파급효과풀들을 구성한 후 각 파급효과풀들이 미치는 효과를 분석하였 으며 서로 간에 비교하였다. 발명자 수준에서 다양한 파급효과풀들이 혁신에 미치는 효과가 확인되었다. 본 연구의 결과는 발명자의 네트워크 특성들과 파급효과풀들이 발명자의 혁신 성과에 대한 예측에 활용될 수 있음을 시사한다.