Offering a good shopping experience on the web is key for fashion luxury brands. However, it is not a field much analyzed by researchers. This research presents a systematic analysis of the usability of the web and its content in more than 60 fashion luxury e-commerce.

With the development of social media, most people will use social media to watch the videos of digital influencers to get spiritual comfort, and they will think that digital influencers are like friends who are connected with their own lives. However, most of the previous studies focused on the influence of digital influencers on followers’ behavioral intentions (e.g. loyalty, and purchase intention). They rarely discussed the online social well-being obtained by followers after watching digital influencers' posts. Therefore, this study integrates the attributes of followers (loneliness, low self-esteem, empathy) and the characteristics of digital influencers (social attractiveness, expertise, homophily) to explore the influence of the parasocial interaction established between digital influencers and followers on followers’ online social well-being. This study uses the Internet to collect questionnaires and takes users who have watched digital influencers' posts on social media as the research object. A total of 597 valid questionnaires are collected. The research results show that: the characteristics of digital influencers (social attractiveness, expertise, and homophily), and followers' attributes (low self-esteem and empathy) have positively affected parasocial interaction. It is noteworthy that loneliness has no significant effect on parasocial interaction.

This study constructs a model to predict ad attitude when AI influencers act as ad endorsers. In the results, search products and rational ad appeal have more positive ad attitude, perceived empathy and perceived expertise as mediator. These three variables can be reinforced by the consistency of ad appeals and product categories.

Over the last few years, customer engagement is being reimagined from the lens of relationship marketing in light of interactive brand experiences in order to eternalize long term customer engagement value. However, instilling engagement through dedication and involvement is becoming arduous for brands due to radically escalating digital technologies rendering the inefficacy in practitioner’s attempts. Simultaneously, the employment of hedonic technologies like gamification is catapulting for utilitarian aspirations including customer engagement. Gamification is an emerging field of study which is being intrinsically tied to customer engagement with the later not being the sole purpose of gamified platforms but a medium for subsequent brand related outcomes. Crafting digital interfaces that are straightforward to use and more interactive has become a successful approach for practitioners to engage customers and make tedious and repetitive tasks more pleasurable through gamification. Global organizations such as Walmart, Starbucks and Amazon employ game mechanics evidencing that gamification can reinforce engagement with customers.

Despite being one of the world's largest coffee exporters, Indonesia's coffee output for the international market has recently been dropping. Smallholder coffee growers and their cooperatives faced production challenges due to a lack of market demand knowledge, financial assistance, cultivation and processing equipment, and business practice expertise, according to a case study investigation of these groups. The research then conducted a quantitative survey of 84 international customers from 29 countries and enhanced it by speaking with ambassadors of the Indonesia Trade Promotion Centre in nine different nations. These global players' insights produce helpful information, such as product details, pricing ranges, and quality standards. The results show that for smallholder farmers and cooperatives to fulfil the demands of the global market, relevant commercial actors must assist them. As a result, this study creates a model of the coffee value chain that demonstrates how market demand data motivates cooperatives and smallholder coffee farmers to increase coffee output in a diverse business environment. Marketing might contribute to smallholder farmers' and cooperatives' economic prosperity and well-being by using varied insights from foreign consumers.

The rapid development of artificial intelligence technology has accelerated the promotion and application of service robot in the market. Although technology has provided service robot with increasingly autonomous functions, more research is needed on how service robot with different levels of autonomy affects customer satisfaction in the hospitality industry. Guided by affordance theory, the study examines whether service robot operational and decisional autonomy would have effects on customer satisfaction and explored explanatory mechanism. Adopting an experimental vignette method (EVM), the study reveals that direct effect of service robot operational autonomy and indirect effect of decisional autonomy on customer satisfaction, and functional affordance played a positive mediating role in the impact of service robot autonomy on customer satisfaction. This research extends and enriches the relevant literature on human-machine interaction and customer satisfaction research. Further, the study also provides marketing insights for enterprises to improve autonomous robot design and enhance customer relationships.

Smart technologies are critical for businesses to develop these dynamic connections, as technologies enable them to network with others and exchange resources seamlessly. This fact makes it possible to modify the tasks performed by employees of tourism organizations that are in contact with consumers/tourists.

Technologies, such as Artificial Intelligence (AI) and robotics are emerging as a new way to improve services, readjusting and impacting all business industries and relationships among people (Loureiro et al., 2021; Makridakis, 2017; Mingotto et al., 2020). The hospitality industry is no exception to this (Mingotto et al., 2020) since a quick growth in the use of robots and AI in this industry has registered a turnover of 249 million U.S. dollars (International Federation of Robots, 2021). However, very few of the existing studies highlight the customers’ perspective and sentiments on service robots (Luo et al., 2021) or the robot-human interactions/ customer service experience (Choi et al., 2021). Thus, further studies in the enhancement of human well-being through transhumanistic technologies, close relationship marketing capabilities, and the evolution of the engagement process between humans and AI-enabled machines are necessary (Loureiro et al., 2021). This research intends to understand how different types of robots influence customers’ perception of the service provided. Therefore, the following research questions are proposed; Can humans develop feelings of identification with a service robot? Can the identification that customers perceive between themselves, and service robots be strong enough to influence the creation of a close relationship between both parties? What are the features of service robots that heighten customer well-being?

In this research, we investigate the influence of Chinese consumers’ generation on the perception of “Made in China” luxury. This issue is of utmost importance for the Chinese government as Chinese consumers have now become the first luxury consumers in the world while China remains a non-legitimate dwarf in luxury manufacturing. To bridge this gap, we carried a quantitative survey involving 300 Chinese luxury consumers and tested the effect of consumers’ age on Chinese luxury products perceived luxury. Potential mediators are considered in our analyses, including consumers’ ethnocentrism and innovativeness, materialism, and cultural orientations (i.e., preference for individualism and tradition). The data are currently being collected. Our results will be discussed at the 2023 Global Marketing Conference in Seoul if this research is selected for presentation. They should help position current and future “Made in China” luxury brands and target Chinese luxury consumers.

The hotel industry is facing a complex business environment due to the impact of the COVID-19 pandemic and ongoing competition. The ability to build resilience in adverse conditions is key to the survival and sustained growth of hotel enterprises. Against this backdrop, as a Chinese domestic hotel group, Huazhu Group actively embraces digital technology and takes the lead in developing and adopting digital measures such as hotel smart robots and digital platforms to effectively improve work efficiency, reduce employee burden, manage supplier and owner relationships, and achieve digital transformation.However, the issue of how digitalization enables hotels to form resilience, the process and mechanism of empowerment, and the dimensions of hotel enterprise resilience have not been explored in detail from a theoretical perspective. Therefore, this study adopts an inductive qualitative research method and a single-case study approach, selecting Huazhu Group's subsidiary hotels as the research objects. The aim is to explore the practical aspects of digital empowerment and construct a framework for achieving hotel enterprise resilience through digital empowerment.

The Wide-Angle Polarimetric Camera (PolCam) is installed on the Korea’s lunar orbiter, Danuri, which launched on August 5, 2022. The mission objectives of PolCam are to construct photometric maps at a wavelength of 336 nm and polarization maps at 461 and 748 nm, with a phase angle range of 0◦–135◦ and a spatial resolution of less than 100 m. PolCam is an imager using the push-broom method and has two cameras, Cam 1 and Cam 2, with a viewing angle of 45◦ to the right and left of the spacecraft’s direction of orbit. We conducted performance tests in a laboratory setting before installing PolCam’s flight model on the spacecraft. We analyzed the CCD’s dark current, flat-field frame, spot size, and light flux. The dark current was obtained during thermal / vacuum test with various temperatures and the flat-field frame data was also obtained with an integrating sphere and tungsten light bulb. We describe the calibration method and results in this study.

It is difficult to distinguish the pure signal produced by an orbiting planetary companion around giant stars from other possible sources, such as stellar spots, pulsations, or certain activities. Since 2003, we have obtained radial (RV) data from evolved stars using the high-resolution, fiber-fed Bohyunsan Observatory Echelle Spectrograph (BOES) at the Bohyunsan Optical Astronomy Observatory (BOAO). Here, we report the results of RV variations in the binary star HD 135438. We found two significant periods: 494.98 d with eccentricity of 0.23 and 8494.1 d with eccentricity of 0.83. Considering orbital stability, it is impossible to have two companions in such close orbits with high eccentricity. To determine the nature of the changes in the RV variability, we analyzed indicators of stellar spot and stellar chromospheric activity to find that there are no signals related to the significant period of 494.98 d. However, we calculated the upper limits of rotation period of the rotational velocity and found this to be 478–536 d. One possible interpretation is that this may be closely related to the rotational modulation of an orbital inclination at 67–90 degrees. The other signal corresponding to the period of 8494.1 d is probably associated with a stellar companion orbiting the giant star. A Markov Chain Monte Carlo (MCMC) simulation considering a single companion indicates that HD 135438 system hosts a stellar companion with 0.57+0.017 −0.017 M⊙ with an orbital period of 8498 d.

This work presents four high-amplitude variable YSOs (≃3 mag at near- or mid-IR wavelengths) arising from the SPICY catalog. Three outbursts show a duration that is longer than 1 year, and are still ongoing. And additional YSO brightened over the last two epochs of NEOWISE observations and the duration of the outburst is thus unclear. Analysis of the spectra of the four sources confirms them as new members of the eruptive variable class. We find two YSOs that can be firmly classified as bona fide FUors and one object that falls in the V1647 Ori-like class. Given the uncertainty in the duration of its outburst, an additional YSO can only be classified as a candidate FUor. Continued monitoring and follow-up of these particular sources is important to better understand the accretion process of YSOs.

This paper is written as a follow-up observations to reinterpret the radial velocity (RV) of HD 36384, where the existence of planetary systems is known to be ambiguous. In giants, it is, in general, difficult to distinguish the signals of planetary companions from those of stellar activities. Thus, known exoplanetary giant hosts are relatively rare. We, for many years, have obtained RV data in evolved stars using the high-resolution, fiber-fed Bohyunsan Observatory Echelle Spectrograph (BOES) at the Bohyunsan Optical Astronomy Observatory (BOAO). Here, we report the results of RV variations in the M giant HD 36384. We have found two significant periods of 586 d and 490 d. Considering the orbital stability, it is impossible to have two planets at so close orbits. To determine the nature of the RV variability variations, we analyze the HIPPARCOS photometric data, some indicators of stellar activities, and line profiles. A significant period of 580 d was revealed in the HIPPARCOS photometry. H𝛼 EW variations also show a meaningful period of 582 d. Thus, the period of 586 d may be closely related to the rotational modulations and/or stellar pulsations. On the other hand, the other significant period of 490 d is interpreted as the result of the orbiting companion. Our orbital fit suggests that the companion was a planetary mass of 6.6 𝑀J and is located at 1.3 AU from the host.

Background: Proprioceptive neuromuscular facilitation (PNF) has been proven effective in a myriad of clinical fields as a treatment to restore function in patients with musculoskeletal disorders, damage to the central nervous system, or sports injuries. Objectives: The purpose of this study was to investigate the effect of a 2-week PNF exercise intervention on the degree of calcification, pain perception, and shoulder joint function in persons with calcific tendinitis (CT) of the supraspinatus. Design: Matched pairs design. Methods: This study was classified into a PNF group (n=8) and a control group (n=7) through a matched pairs design. Filmed x-rays, Visual Analogue Scale (VAS), Simple Shoulder Test (SST), and Constant-Murley Scale (CMS) were used to assess the long and short axis of calcified deposits, self-awareness of pain, and shoulder joint function of the subjects. 8 participants in the PNF group received a scapular and upper extremity PNF exercise intervention for 30 minutes per session, 10 times/week for 2 weeks while no intervention in the control group. Results: Two-way repeated analysis of variance (ANOVA) showed a significant improvement after the 2-week PNF exercise intervention on calcified deposits, pain, and shoulder joint function (P<.05), whereas no changes in the control. Conclusion: These findings suggest that the intensive 2-week PNF exercise may maximize intervention effects to reduce calcified deposits and pain in a relatively short period time and is effective for restoring shoulder function without combining other treatments or exercises in patients with supraspinatus CT.

Selective doping of pyridinic nitrogen in carbon materials has attracted attention due to its significant properties for various applications such as catalysts and electrodes. However, selective doping of pyridinic nitrogen together with controlling skeletal structure is challenging in the absence of catalysts. In this work, four precursors including four fused aromatic rings and pyridinic nitrogen were simply carbonized in the absence of catalysts in order to attain mass synthesis at low cost and a high percentage of pyridinic nitrogen in carbon materials with controlled edges. Among four precursors, dibenzo[f,h] quinoline (DQ) showed an extremely high percentage of pyridinic nitrogen (96 and 86%) after heat treatment at 923 and 973 K, respectively. Experimental spectroscopic analyses combined with calculated spectroscopic analyses using density functional theory calculations unveiled that the C-H next to the pyridinic nitrogen in DQ generated gulf edge structures with controlled pyridinic nitrogen after carbonization. By comparing the reactivities among the four precursors, three main factors required for maintaining the pyridinic nitrogen in carbon materials with controlled edges, such as (1) high thermal stability of the pyridinic nitrogen, (2) the presence of one pyridinic nitrogen in one ring, and (3) the formation of gulf edges including pyridinic nitrogen to protect the pyridinic nitrogen by the C-H groups on the gulf edges, were revealed.

This study investigated durian (Durio zibethinus) peels to produce powdered activated carbon (DPAC). The influence of process variables such as carbonization temperature, activation time, contact time, CO2 flow rate, and adsorption dosage was optimized using response surface methodology (RSM). A six-factor and two levels Box–Behnken design (BBD) was used to optimize the parameters. The independent variables were activation temperature (°C), duration (min), CO2 flow rate during the activation process (L/min), irradiation of adsorbent (kGy), irradiation duration (min), and adsorbent dosage (g) while phenol removal (mg/L) was the dependent variable (response). Following the observed correlation coefficient values, the design was fitted to a quadratic model (R2 = 0.9896). The optimal removal efficiency (97.25%) was observed at an activation temperature of 900 °C, activation time of 30 min, CO2 flow rate of 0.05 L/min, irradiation dose of 100 kGy, contact time of 35 min and adsorption dosage of 0.75 g. The optimal DPAC showed a BET surface of 281.33 m2/ g. The removal efficiency was later compared with a commercially available activated carbon which shows a 98.56% phenol removal. The results show that the durian peel could be an effective precursor for making activated carbon for phenol removal, and irradiation can significantly enhance surface activation.

In this study, a milled carbon nanofiber-reinforced composite paint was prepared to enhance the anti-corrosive properties of concrete structures. Shorter-length (40 μm) milled carbon fibers (MCFs) showed an increased viscosity relative to longer MCFs (120 μm) owing to their 2 weeks (the decrease was especially strong in the acid solution). A carbon nanotube (CNT)- reinforced composite paint showed similar results in uniform distribution in the epoxy resin. The latter showed a decrease in viscosity owing to agglomerative movement in the epoxy resin. The surface hardness and tensile strength of the composite paint linearly increased as the carbon nanofiber loading was increased by up to 7.2 wt% in the epoxy resin, and slowly decreased after soaking in a sulfuric acid or sodium hydroxide solution for to those of the MCFs, whereas CNTs dispersed in isopropyl alcohol (IPA) in advance and mixed with resin showed lower hardness values than those without dispersion in IPA at the same loading. The mechanical properties such as the Shore D hardness and tensile strength of the MCF-reinforced composite paint increased significantly, resulting in a slower surface degradation of the composite paint concrete in a sulfuric acid and sodium hydroxide solution.

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.

In recent years, people are increasingly interested in CO2 hydrogenation to produce value-added chemicals and fuels ( CH4, CH3OH, etc.). In the quest for an efficient treatment in CO2 methanation and methanolization, several technologies have been practiced, and DBD plasma technology gain attention due to its easily handling, mild operating conditions, strong activation ability, and high product selectivity. In addition, its reaction mechanism and the effect of packing materials and reaction parameters are still controversial. To address these problems efficiently, a summary of the reaction mechanism is presented. A discussion on plasma-catalyzed CO2 hydrogenation including packing materials, reaction parameters, and optimizing methods is addressed. In this review, the overall status and recent findings in DBD plasma-catalyzed CO2 hydrogenation are presented, and the possible directions of future development are discussed.