A bibliometric analysis, spanning five decades of knowledge is employed with the aim of: (i) assessing core intellectual knowledge of international services research; (ii) examining the contribution of international services marketing to broader research disciplines; and, (iii) estimating forecasting trends for the most promising international services research directions.

Even in an era where 8-meter class telescopes are common, small telescopes are considered very valuable research facilities since they are available for rapid follow-up or long term monitoring observations. To maximize the usefulness of small telescopes in Korea, we established the SomangNet, a network of 0.4{1.0 m class optical telescopes operated by Korean institutions, in 2020. Here, we give an overview of the project, describing the current participating telescopes, its scientic scope and operation mode, and the prospects for future activities. SomangNet currently includes 10 telescopes that are located in Australia, USA, and Chile as well as in Korea. The operation of many of these telescopes currently relies on operators, and we plan to upgrade them for remote or robotic operation. The latest SomangNet science projects include monitoring and follow-up observational studies of galaxies, supernovae, active galactic nuclei, symbiotic stars, solar system objects, neutrino/gravitational-wave sources, and exoplanets.

We report the discovery of a giant exoplanet in the microlensing event OGLE-2017-BLG-1049, with a planet―host star mass ratio of q = 9.53 ± 0.39 × 10-3 and a caustic crossing feature in Korea Microlensing Telescope Network (KMTNet) observations. The caustic crossing feature yields an angular Einstein radius of θE = 0.52 ± 0.11 mas. However, the microlens parallax is not measured because the time scale of the event, tE ≃ 29 days, is too short. Thus, we perform a Bayesian analysis to estimate physical quantities of the lens system. We find that the lens system has a star with mass Mh = 0.55+0.36 -0.29 M⊙ hosting a giant planet with Mp = 5.53+3.62 -2.87 MJup, at a distance of DL = 5.67+1.11 -1.52 kpc. The projected star{planet separation is aㅗ = 3.92+1.10 -1.32 au. This means that the planet is located beyond the snow line of the host. The relative lens{source proper motion is μrel ~ 7 mas yr-1, thus the lens and source will be separated from each other within 10 years. After this, it will be possible to measure the flux of the host star with 30 meter class telescopes and to determine its mass.

스리랑카는 채소의 주년 생산에 적합한 기후를 갖고 있는 열대국가이다. 열대, 아열대 채소의 재배면적은 전체 농지(105,062 ha)의 약 3%이다. 지난 50년 동안 스리랑카에서 채소 육종에 관한 체계적인 연구가 이루어졌고 채소 부문은 지속적으로 증가하였다. 하지만 채소 육종, 재배 및 가공과 관련된 기술이 선진국에 비해 많이 뒤떨어져 있는 형편이다. 전통 육종법을 통해 개발된 다양한 농업적 형질을 가진 품종이 현재까지 스리랑카의 채소 생산에 이용되고 있지만 생명공학적 방법을 접목한 채소 품종 육종법의 중요성이 점차로 부각되고 있다. 본 논문은 스리랑카에서 중요한 채소 작물인 토마토, 고추류, 콩류, 가지 및 여주의 육종과 품종 현황을 소개하고 향후 스리랑카 육종 전망에 대해 논의하였다.

This study focused on the development of Fe–Co/kaolin catalyst by a wet impregnation method. Response surface methodology was used to study the influence of operating variables such as drying temperature, drying time, mass of support and stirring speed on the yield of the catalyst. The catalyst composite at best synthesis conditions was then calcined in an oven at varied temperature and time using 22 factorial design of experiment. The catalyst with optimum surface area was then utilized to grow carbon nanofiber (CNF) in a chemical vapour deposition (CVD) reactor. Both the catalyst and CNF were characterized using high-resolution scanning electron microscopy, high-resolution transmission electron microscopy, thermogravimetric analysis (TGA), X-ray diffraction (XRD) and X-ray photoelectron spectroscopy. On the influence of operating variables on the yield of catalyst, the results showed that an optimum yield of 96.51% catalyst was obtained at the following operating conditions: drying time (10 h), drying temperature (110 °C), stirring speed (100 rpm) and mass of support (9 g). Statistical analysis revealed the existence of significant interactive effects of the variables on the yield of the catalyst. The HRSEM/XRD/BET/TGA analysis revealed that the particles are well dispersed on the support, with high surface area (376.5 m2/g) and thermally stable (330.88 °C). The influence of operating parameters on the yield of CNF was also investigated and the results revealed an optimum yield of 348% CNF at the following operating conditions: reaction temperature (600 °C), reaction time (40 min), argon flow rate (1416 mL/min) and acetylene/hydrogen flow rate (1416 mL/ min). It was found from statistical analysis that the reaction temperature and acetylene/hydrogen flow rates exerted significant effect on the CNF yield than the other factors. The contour and surface plots bi-factor interaction indicated functional relationship between the response and the experimental factors. The characterization results showed that the synthesized CNF is thermally stable, twisted and highly crystalline and contain surface functional groups. It can be inferred from the results of various analyses that the developed catalyst is suitable for CNF growth in a CVD reactor.

Intensive Monitoring Survey of Nearby Galaxies (IMSNG) is a high cadence observation program monitoring nearby galaxies with high probabilities of hosting supernovae (SNe). IMSNG aims to constrain the SN explosion mechanism by inferring sizes of SN progenitor systems through the detection of the shock-heated emission that lasts less than a few days after the SN explosion. To catch the signal, IMSNG utilizes a network of 0.5-m to 1-m class telescopes around the world and monitors the images of 60 nearby galaxies at distances D < 50 Mpc to a cadence as short as a few hours. The target galaxies are bright in near-ultraviolet (NUV) with MNUV < - 18.4 AB mag and have high probabilities of hosting SNe (0.06 SN yr-1 per galaxy). With this strategy, we expect to detect the early light curves of 3.4 SNe per year to a depth of R  19:5 mag, enabling us to detect the shock-heated emission from a progenitor star with a radius as small as 0.1 R. The accumulated data will be also useful for studying faint features around the target galaxies and other science projects. So far, 18 SNe have occurred in our target fields (16 in IMSNG galaxies) over 5 years, confirming our SN rate estimate of 0.06 SN yr-1 per galaxy.

Anecdotal evidence suggests that incidents like the recall of the exploding Samsung Galaxy 7 phones drive owners of other (competing) brands to experience and express feelings of joy when a rival brand fails (e.g., “the hottest phone in the streets!”). Although consumers sometimes experience brand-related schadenfreude—that is, joy out of other brand’s failure—, psychological processes driving schadenfreude are not clearly understood (Hickman & Ward, 2007; Van Dijk, Van Koningsbruggen, Ouwerkerk, & Wesseling, 2011). We propose that schadenfreude may be elicited by consumers’ tendencies to stand by their choices (Ye & Gawronski, 2016). We demonstrate that consumers show higher levels of schadenfreude if their choice is disconfirmed; for example, by a comparative product review that evaluates their chosen brand to be inferior to a rival non-chosen brand. Furthermore, this effect is moderated by the popularity of the chosen brand and mediated by feelings of self-threat. Moreover, we show that this effect is stronger for narcissists. We also find evidence that schadenfreude is a means for consumers to reaffirm their sense of self after they experience a self-threat induced by the disconfirmation of their choice.

We investigate how two concurrent multimodal sensory primes affect consumers’ evaluation of green products. More specifically, we study how an action of physical cleansing—which enables consumers to smell cleaning scents and offers them a sensation of physical cleanliness—influence their subsequent green detergent choices. Based on the theory of embodied cognition (Barsalou, 2008), we theorize that the two sensory inputs can simultaneously prime morality and cleaning effectiveness—two related yet different concepts—, which can be diagnostic for green product evaluations. The results of two studies show that both the cleaning effectiveness and the primed morality affect how consumers judge a green detergent. On the one hand, consumers infer how effective the detergent is from its scent strength and artificiality – the milder and the more natural the scent is perceived to be, the ―greener‖ and the less effective the detergent is judged to be compared to a regular, non-green alternative. On the other hand, the act of physical cleansing primes the sense of moral superiority of consumers relative to ―others.‖ The consumers who feel morally superior to others then underestimate how attractive the green detergent is going to be to ―other consumers‖ in the market (i.e., to the rest of the market). Our research contributes to both the psychophysiology and the green marketing literature. Regarding the former, we demonstrate a novel multisensory interaction effect by investigating how the brain deals with two competing primed concepts at the same time. Regarding the latter, our findings explain why making people feel moral does not always promote green or ethical consumption (Khan & Dhar, 2006; Mazar & Zhong, 2010). Apart from the account of moral licensing, we further identify that self-based green choices are largely utilitarian and driven by a pragmatic self-interest rather than by morality.

In the past, scholars and policy makers have tried to educate as well as incentivize practices like recycling to avoid reduce landfill stocks and create new objects from past used materials. Such products have been commercialized more and more by big brands (i.e. Adidas and Levi’s) and by famous fashion designers (i.e. Stella McCartney). While more academic literature has focused on drivers for consumers’ motivations to engage in recycling activities, there has been little research investigating consumers’ underlying psychological factors to favour recycled products over standard ones. In this study we address this issue by experimentally testing consumer evaluation and intention to adopt recycled products through an implicit theory – or mind-sets-framework on. In a set of three studies we demonstrate how consumers holding and incremental mind-set – who believe that trait like intelligence, morality or personality are malleable and transformable over time – are more keen top adopt products made of recycled materials. In contrasts, individuals with an entity mind-set – who instead believe human traits are fixed and non-mutable- are more sceptical to embrace such products. In Experiment 1 we demonstrated that the chronic incremental mind set of individuals influences their intention to acquire a recycled – over a non-recycled – coffee mug. In Experiment 2, we demonstrate through a laboratory experiment that this preference for products made out of recycled materials is stable in individual with an incremental min-set – over their entity min-set counterpart – even below the liminal attention threshold. Finally, in Experiment 3 we demonstrate that by attributing the merit of the transformation in a different object to qualities that are embedded in the materials used (rather than to the process to transform them) can make recycled products more appealing also to individuals with an entity mind-set. The results of these studies contribute to the literature on implicit theory by investigating another area in consumer psychology (intention to adopt recycled products) so far unexplored. On a managerial point of view, this study suggests how highlighting the effort spent by a company in creating the product can attract consumer (especially incremental theorists) to intend to buy the product, while highlighting the qualities of the material used can attract more entity theorists.

The Korea Astronomy and Space Science Institute plans to develop a coronagraph in collaboration with National Aeronautics and Space Administration (NASA) and to install it on the International Space Station (ISS). The coronagraph is an externally occulted one-stage coronagraph with a field of view from 3 to 15 solar radii. The observation wavelength is approximately 400~nm, where strong Fraunhofer absorption lines from the photosphere experience thermal broadening and Doppler shift through scattering by coronal electrons. Photometric filter observations around this band enable the estimation of 2D electron temperature and electron velocity distribution in the corona. Together with a high time cadence ($<$12~min) of corona images used to determine the geometric and kinematic parameters of coronal mass ejections, the coronagraph will yield the spatial distribution of electron density by measuring the polarized brightness. For the purpose of technical demonstration, we intend to observe the total solar eclipse in August 2017 with the filter system and to perform a stratospheric balloon experiment in 2019 with the engineering model of the coronagraph. The coronagraph is planned to be installed on the ISS in 2021 for addressing a number of questions (e.g., coronal heating and solar wind acceleration) that are both fundamental and practically important in the physics of the solar corona and of the heliosphere.