Background: In modern society, the use of computers accounts for a large proportion of our daily lives. Although substantial research is being actively conducted on musculoskeletal diseases resulting from computer use, there has been a recent surge in interest in improving the working environment for prevention. Objects: This study aimed to examine the effects of posture correction feedback (PCF) on changes in neck posture and muscle activation during computer typing. Methods: The participants performed a computer typing task in two sessions, each lasting 16 minutes. The participant’s dominant side was photographed and analyzed using ImageJ software to verify neck posture. Surface electromyography (EMG) was used to confirm the participant’s cervical erector spinae (CES) and upper trapezius muscle activities. The EMG signal was analyzed using the percentage of reference voluntary contraction and amplitude probability distribution function (APDF). In the second session, visual and auditory feedback for posture correction was provided if the neck was flexed by more than 15° in the initial position during computer typing. A 20-minute rest period was provided between the two sessions. Results: The neck angle (p = 0.014), CES muscle activity (p = 0.008), and APDF (p = 0.015) showed significant differences depending on the presence of the PCF. Furthermore, significant differences were observed regarding the CES muscle activity (p = 0.001) and APDF (p = 0.002) over time. Conclusion: Our study showed that the feedback system can correct poor posture and reduces unnecessary muscle activation during computer work. The improved neck posture and reduced CES muscle activity observed in this study suggest that neck pain can be prevented. Based on these results, we suggest that the PCF system can be used to prevent neck pain.

Background: Office workers experience neck or back pain due to poor posture, such as flexed head and forward head posture, during long-term sedentary work. Posture correction is used to reduce pain caused by poor posture and ensures proper alignment of the body. Several assistive devices have been developed to assist in maintaining an ideal posture; however, there are limitations in practical use due to vast size, unproven long-term effects or inconsistency of maintaining posture alignment. We developed a headphone and necklace posture correction system (HANPCS) for posture correction using an inertial measurement unit (IMU) sensor that provides visual or auditory feedback. Objects: To demonstrate the test-retest reliability and concurrent validity of neck and upper trunk flexion measurements using a HANPCS, compared with a three-dimensional motion analysis system (3DMAS). Methods: Twenty-nine participants were included in this study. The HANPCS was applied to each participant. The angle for each action was measured simultaneously using the HANPCS and 3DMAS. The data were analyzed using the intraclass correlation coefficient (ICC) = [3,3] with 95% confidence intervals (CIs). Results: The angular measurements of the HANPCS for neck and upper trunk flexions showed high intra- (ICC = 0.954–0.971) and inter-day (ICC = 0.865–0.937) values, standard error of measurement (SEM) values (1.05°–2.04°), and minimal detectable change (MDC) values (2.92°–5.65°). Also, the angular measurements between the HANPCS and 3DMAS had excellent ICC values (> 0.90) for all sessions, which indicates high concurrent validity. Conclusion: Our study demonstrates that the HANPCS is as accurate in measuring angle as the gold standard, 3DMAS. Therefore, the HANPCS is reliable and valid because of its angular measurement reliability and validity.

In this study, the synthesis of nitrobenzene was carried out using sulfated silica catalyst. The study delved into H2SO4/SiO2 as a solid acid catalyst and the effect of its weight variation, as well as the use of a microwave batch reactor in the synthesis of nitrobenzene. SiO2 was prepared using the sol-gel method from TEOS precursor. The formed gel was then refluxed with methanol and calcined at a temperature of 600 °C. SiO2 with a 200-mesh size was impregnated with 98 % H2SO4 by mixing for 1 h. The resulting 33 % (w/w) H2SO4/SiO2 catalyst was separated by centrifugation, dried, and calcined at 600 °C. The catalyst was then used as a solid acid catalyst in the synthesis of nitrobenzene. The weights of catalyst used were 0.5; 1; and 1.5 grams. The synthesis of nitrobenzene was carried out with a 1:3 ratio of benzene to nitric acid in a microwave batch reactor at 60 °C for 5 h. The resulting nitrobenzene liquid was analyzed using GC-MS to determine the selectivity of the catalyst. Likewise, the use of a microwave batch reactor was found to be appropriate and successful for the synthesis of nitrobenzene. The thermal energy produced by the microwave batch reactor was efficient enough to be used for the nitration reaction. Reactivity and selectivity tests demonstrated that 1 g of H2SO4/SiO2 could generate an average benzene conversion of 40.33 %.

Trust is well recognized as a critical component of effective health system processes, as patient trust is known to influence satisfaction and other health-related behaviors. The COVID-19 pandemic has strongly affected healthcare organizations, leading to the need for reorganizing services, practices, interactions. Particularly, because of COVID-19 pandemic, patient/doctor exchanges have increasingly been mediated by digital technologies, thus leading to potential devaluation of patients trust toward the healthcare system.

Humans turn to other humans for decision making. They don’t know how the algorithm operates but they understand how a human mind operates. Ergo, they would be more likely to follow a human’s recommendation.

Innovative companies after the first and second waves of the COVID-19 pandemic are undergoing significant changes: from new trends in the markets to the growth of remote work in the digital environment. At any stage of development, innovative companies need an adaptive marketing approach to the implementation of the planned strategy. Marketing solutions to the problems of a volatile, uncertain, complex and ambiguous environment (VUCA) in 2023 can rightfully be considered an emergency aid to innovative transformations in emerging markets. The triad “market orientation – innovation – performance” chain has been extended to various innovation types– from technological and product innovation to innovation orientation and capability. Moreover, the market orientation research agenda has, during last 10 years, highlighted customer orientation as a key component of market orientation that drives innovative activities.

This study investigated which factors impact esports viewership for League of Legends matches through Live and highLight streaming video. This research anaLyzed League of Legends viewership factors' differences between the three Leagues (LCK, LCS, and LEC) where viewership factors infLuence esports viewership demand through LOL’s Live and highLight streaming video. League of Legends not onLy has the highest audience among different various esports, aLso has formed a huge market from diverse countries. In order to soLve each League's unbaLance viewership trend issue between the three Leagues, and facing worLdwide viewership decrease, this study examined viewership impact factors from three Leagues with the highest viewership ratings: Korea's LCK, North America's LCS, and Europe's LEC. After that, differences in viewership impact factors for the research were anaLyzed and compared to each League. SpecificaLLy, this study investigated which factors impact esports viewership for League of Legends (LOL) matches. Data (N=1581) of reguLar season matches from the LCK, LCS, and LEC Leagues (2020 spring to 2021 summer) were coLLected and anaLyzed. This study anaLyzed the average number of visitors per minute of Twitch Live streaming and the number of views on YouTube highLights. Five main viewership factors(the uncertainty of match, consumer preferences, match importance, team attributes, match content, and controL variabLes), and seventeen independent variabLes were verified by muLtipLe regression anaLysis using STATA 15. As a resuLt of the anaLysis, the modeL with the number of reaL-time audience as the dependent variabLe demonstrated different trends between Leagues in terms of the uncertainty of match factors (rank difference, win rate difference, goLd difference, kiLL difference, object difference), and consumer preference factors(fan, operating period of both teams, number of worLd championship wins, the number of championship semifinaL advances). WhiLe the match importance factors(week, top-rank matches) and match content factors (the sum of kiLLs, the sum of assists, the sum of objects) indicated somewhat simiLar tendencies between Leagues. In the modeL with the number of highLights views as the dependent variabLe, consumer preference factors and match importance factors tended to be somewhat simiLar, but match content factors prone to be sLightLy different between Leagues. In addition, the uncertainty of the match factors did not show a significant infLuence across the three Leagues. Findings from this research expand and appLy the variabLes derived from the demand determination theory of traditionaL sports to e-sports demand research. This study heLps stakehoLders understand various esports cuLtures from different regions. Furthermore, it is meaningfuL in that it provides information that wiLL contribute to the growth of the entire League of Legends market through baLanced deveLopment between Leagues.

Today, the ability to engage customers is a key factor of brand competitiveness in global markets. Not surprising, marketers are scrambling to figure how to utilize social media and other digital platforms to motivate customer engagement (CE), defined as brand-focused behavioral manifestations, other than purchases, resulting from individual and group motivational drivers. In this study we adopt consumer investment in trademarks perspective, suggesting that consumers proactively use global brand’s signs to express themselves, affirm values, communicate, and experience pleasure in digital platforms. The brand owners deploy trademarks to protect the symbols, which can distinguish the goods or services of a brand owner from those of other enterprises. We hypothesize that by registering trademarked signs in the host markets, global brands may facilitate CE and achieve superior performance. We empirically test these proposition using data for 125 global brands and trademark finings these brands in the twenty largest economies. The results of model confirm expectations that both trademarking in the host markets and consistency in using protected signs positively affected brand’s market share. The study provides managerial, theoretical, and policy insights in context of global brand protection.

Service encounters increasingly feature AI-powered inputs such as add-ons recommendations or aftercare solutions. These novel forms of customer service, provided by AI rather than humans, can shape customers’ sense of agency throughout the customer journey. Customers find themselves in a form of competitive collaboration with AI, sharing tasks, resources, inputs, and decisions. This research conceptualises and develops a scale to measure shared agency power during customer-AI interactions. Understanding the role of agency in AI- customer interactions is important, as agency represents a source, mechanism, delimiter and effect of a human’s or a machine’s actions. Agency may differ across various service encounters and with it, the type of perceived risks associated with human-AI interactions. Future research may use the shared agency power scale to better understand the nature and impact of customer-AI interactions in a service context on traditional marketing factors.

Gastro-tourism extends beyond what to eat, but also the attractiveness and the environment. It encompasses a tourist experience journey starting from pre, during, until post-travel. Gastro tourism in the new normal engages with traditional vs novel value of experiences. This study aims to answer how Gen Z experiences gastro tourism and the impact of digital technologies using surveys on Tiktok Ads followed by an experiment with an immersive culinary adventure using 3D visual technology.

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.

The development and application of NFTs has gained great attentions. Especially, with the eyes on the potential of Metaverse and Web 3.0, NFTs are regarded as one of the foundational parts of the future internet. The main contribution of NFTs is the innovative solution for creating digital uniqueness through its property of non-fungibility. With this property, the ubiquity caused by replicable data on the current internet can be advanced with NFT-backed uniqueness, which can assist in certifying authenticity, authorship, and possessions of contents, products, and assets online. This has tremendous meaning for the luxury brand industry, which has been struggling with the ubiquity of the internet for years. The emergence of NFTs, however, represents hope and a potential mean to represent scarcity in a digital context. By the use of NFTs, luxury brands’ conservative digital marketing strategies and their ways of production design, marketing, consumer management could be fundamentally changed. This study aims to discuss the NFT marketing strategy from the perspective of luxury brands. Particularly, the study will investigate the desirability strategies in these luxury NFT cases. To do so, the study uses a socio-technical perspective to understand how luxury brands embody the desirability strategy through NFTs, by considering the technical factors of NFTs (i.e., design, issuance, and ecosystem functioning) and social factors of desirability (i.e., exclusivity, rarity, prestige, and creative leadership). The study explores applicable strategy of how to realize luxury desirability through NFT technics. As a result, this study investigates 39 luxury NFT cases from 2021 to 2022, including the NFTs launched by famous luxury brands such as Gucci, Louis Vuitton, Burberry, Dolce & Gabbana, and KARL LAGERFELD. The study showcases three within-case analyses to exhibit vivid examples of NFT innovations. Besides, the study generates a common framework by a complete cross-case analysis. The framework contains three domains and seven dimensions to guide further luxury NFT innovations and contributes to theory development in the field of NFT marketing and branding.

The capability for Artificial Intelligence in the beauty industry is enormous, as customers are demanding increasingly customized offers that only these strategies can offer. However, there is still a scarcity of empirical research on customer experiences enabled by AI, which highlights this research's relevance, which we intend to bridge.

E-commerce has seen significant growth since the outbreak of the COVID-19 pandemic. This has led to changes in consumer preferences and increased pressure on companies to develop effective e-commerce and social media capabilities to retain customers. This study examines the impact of these capabilities on customer retention and firm performance by collecting quantitative data from 160 small U.S. e-commerce companies in the fashion industry. The study finds that customer retention positively relates to firm performance and that factors, including cross-device shopping, payment methods, page speed, standard delivery time, Pinterest activity, and Instagram activity, significantly impact customer retention. The study suggests strategies for companies to remain competitive in the dynamic e-commerce landscape.

Entomophagy (or insects eating) is seen as a new, sustainable, and promising protein alternative for consumers in Western countries. Although eating insects is not new for many cultures (e.g., Asian culture), it represents a novel and unconventional eating practice in the Western world (e.g., United States and Europe), often characterized by food taboos and by a negative advertising in the media.

Livestreaming commerce is a form of e-commerce that embedded real-time video presentation and social interaction. It provides immersive shopping experience reinforced by high levels of interactivity and instant bidirectional communication. China, as one of the biggest livestreaming markets, has reached 2.3 trillion (CNY) livestreaming commerce market value in 2022. In a 2020 survey, two-thirds of Chinese consumers experienced livestreaming shopping in the previous year. Accordingly, luxury brands, such as Chanel and Louis Vuitton have started to implement livestreaming commerce in China. However, for years, luxury brands have struggled with online commerce as it may impact upon perceptions of exclusivity and dilute brand value. Research on the efficacy of live commerce emerged in recent years and mostly focused on non-luxury brands. However, luxury brands cannot simply copy digital marketing strategies that proved to be effective for non-luxury brands. To date, limited academic attention has been devoted to the luxury commerce in a livestreaming context.

In this research, we investigate how sponsored listings on an online search engine influence the consumer’s final decision choices. In an era of digital transformation where companies very often opt for sponsored advertisements, we explore how an anchoring effect (exacerbated by other factors) impacts the evaluation process and final outcome. More specifically, using a mix of secondary data from a large hotel aggregator and experiments, this work empirically validates that sponsored results (i.e., the first paid result) on a search engine results page indeed acts as an anchor. In addition, we find evidence the anchoring effect increases as a) the results are more versus less homogeneous, and b) the screen size of the search device is larger. What’s more, the anchoring effect is largely stable and does not fluctuate based on the category or decision importance. The effect also remains intact whether or not search engine results are randomized through the history of the browser. We also find the anchor influences subsequent evaluations, and options similar to the anchor are more likely to be chosen irrespective of the anchor’s attractiveness despite industry convention that consumers ignore sponsored results (see Henderson 2019) and research indicating consumers routinely select organic over sponsored search results.

This research addresses financial market communication of marketing information (i.e., information related to firms’ organic growth opportunities) through depth interviews (Study 1) and quantitative data on conference calls and stock market reactions (Study 2). The investigation (1) reveals that marketing, despite high potential relevance for financial markets, often plays only a marginal role in firms’ financial market communication and (2) develops a framework for effectively communicating marketing to financial markets.

With the development of WEB 3.0 and the metaverse, the emergence of chat GPT, and AI is attracting attention across all industries. AI technologies such as robotics, advanced analytics, and in-store applications created a sensation in the fashion industry, as well as created an exceptional customer experience. In this study, fashion AI types (e.g. AI models: generative, conversational, AI applications: design, production, sales, retail, marketing) and case analysis (e.g. concepts, characteristics, benefits, risks) are examined. Consumer experiences with fashion AI are also discussed for future research directions. Finally, the Fashion AI research framework and research agenda are discussed for future research.

Environmental, social, and governance (ESG) considerations have become increasingly important for firms' sustainability. Mandates for ESG information disclosure have been implemented in over 25 countries, including the EU, Australia, and China (Krueger et al., 2021). However, little attention has been paid to the drivers and mechanisms of ESG, which remain unclear. The existing literature has mainly focused on the consequences of ESG which shows mixed results and paid little attention to the drivers of ESG (Paolone et al., 2021). The majority of prior research suggests that ESG activities positively affect firms' financial performance (Nekhili et al., 2019). On the other hand, some researchers show a significant and negative relationship between ESG performance and a firm's financial performance (Duque-Grisales and Aguilera-Caracuel, 2021). To fill the research gap, this study attempts to identify 1) firms' internal and external factors that lead to ESG performance as drivers of ESG, and 2) firm performance as the consequences of ESG. The study found that environmental innovation activities, ESG committees, external audits, and ESG compensations related to environmental innovation could be drivers of ESG application and performance, leading to better firm performance. Moreover, the findings indicate that ESG performance positively affects firms' financial and non-financial performance. Understanding the adoption of ESG is crucial for firms since ESG requires a long-term perspective. This study contributes to the literature on ESG and firm sustainability and suggests new directions for managers to implement ESG in their business model. Especially, this study argues that taking a carrot-and-stick approach could lead to better ESG performance and firm performance. Therefore, managers might consider internal policies to encourage ESG that can lead to better firm performance.