We report results of the measurement of the trigonometric parallax of an H2O maser source in IRAS 22555+6213 with the VLBI Exploration of Radio Astrometry (VERA). The annual parallax was determined to be 0.2780.019 mas, corresponding to a distance of 3.66+0:30 -0:26 kpc. Our results conrm that IRAS 22555+6213 is located in the Perseus arm. We computed the peculiar motion of IRAS 22555+6213 to be (Usrc; Vsrc;Wsrc) = (0 ± 1,-32 ± 1, 9 ± 1) km s􀀀1, where Usrc, Vsrc, and Wsrc are directed toward the Galactic center, in the direction of Galactic rotation and toward the Galactic north pole, respectively. IRAS 22555+6213, NGC7538 and Cepheus A lie along the same line of sight, and are within 2 on the sky. Their parallax distances, with which we derived their absolute position in the Milky Way, show that IRAS 22555+6213 and NGC7538 are associated with the Perseus arm, while Cepheus A is located in the Local arm. We compared the kinematic distances of IRAS 22555+6213 derived with at and non- at rota- tion curve with its parallax distance and found the kinematic distance derived from the non- at rotation assumption (—32 km s-1 lag) to be consistent with the parallax distance.

We made phase-referencing Very Long Baseline Interferometry (VLBI) observations of Galactic 22 GHz H2O maser sources with VLBI Exploration of Radio Astrometry (VERA). We measured the parallax dis- tances of G48.61+0.02, G48.99-0.30, G49.19-0.34, ON1, IRAS 20056+3350, IRAS 20143+3634, ON2N, and IRAS 20126+4104, which are located near the tangent point and the Solar circle. The angular ve- locity of the Galactic rotation at the LSR (i.e. the ratio of the Galactic constants) is derived using the measured parallax distances and proper motions of these sources. The derived value of Ω0 = 28:8  1:7 km s-1 kpc-1 is consistent with recent values obtained using VLBI astrometry but 10% larger than the International Astronomical Union (IAU) recommended value of 25.9 km s-1 kpc-1 = (220 km s-1) / (8.5 kpc).

This paper integrates scholarly work and industry practices in fashion design, marketing, and consumer behavior as the basis for presenting six principles of fashion design and marketing for sustainability and social change. Criteria for effective marketing strategies are offered.

In this paper, researchers investigated current fashion brands’ social media micro-blogging marketing strategy and consumers’ word of mouth reactions. More than 5,000 of the micro-blogs posted by fashion brands and 143,000 of customers’ comments were analysed in this study. Researchers firstly investigated the overall micro-blogging marketing structure for each fashion brand and compared them. Then researchers identified the type of expression pattern of each fashion brand currently in the micro-blogging context, negative or positive sentiments. Researchers found that fashion brands are using different micro-blogging marketing strategies. Forever21 used 61% micro-blogs for customer communication. H&M posted very diverse micro-blogs content to their official account. Their main micro-blogs were used for new product promotion (43%) and brand’s live event broadcasting (33%). Luxury brands, such as Burberry, more than 52% of micro-blogs posted last year were used for new product promotion and 36% of their micro-blogs contents included celebrities’ images of wearing Burberry product. Chanel used 60% of their micro-blogs to broadcast and introduce their brand events. There was no sale information posted on Chanel and Burberry’s micro-blogs account. Through sentiment analysis, researchers also found the brands have very positive electronic word of mouth (e-WOM). Particular, luxury fashion brands are having better e-WOM than fast fashion brands.

In line with the significant impact of information overwhelming on consumer behavior, the study conducted by Iyengar and Lepper (2000) showed that information overload could merely happen while being presented by too much choice, which is also referred as the phenomenon of “choice overload.” In contrast to the classic economic and psychological theories that the more choice, the better, their field observation and lab experiment concluded the finding that having more choice may be demotivating. Through the classic jam study of theirs, which was conducted in an upscale grocery store, they found that while displaying 24 different exotic jams at the sample booth (the large choice set) in the store, only three percent of the sampling shoppers actually purchased one of the jams. However, 30 percent of the sampling shoppers purchased one of the jams during the display of six jam samples (the small choice set). The too-much-choice effect was observed not only in the supermarket but also in an educational context. While providing six versus 30 essay topics to students, the quality of essays was found to be significantly better in the limited-choice (6) condition than in the extensive-choice (30) condition. In marketing practices, marketers tend to provide abundant alternatives to consumers because it increases the likelihood to match different needs and interests of various consumers (Haynes, 2009). However, researchers have noticed that providing extensive choice could result in negative consequences such as making one dissatisfied and unconfident with the choice or defer the decision. Although many empirical studies have shown that the too-much-choice effect occurs in different contexts (e.g. charity donation, prize drawing, and essay topics) or with various product categories (e.g. mp3 players, pens, and chocolates), it has not been consistently observed. Scheibehenne, Greifeneder, and Todd (2009) did not find the statistically significant relation between the size of choice sets (small vs. large) and the percentage of the participants who made a choice in the restaurant-picking task and charity donation task. To better understand the too-much-choice effect, thus, the purpose of this study is to develop a holistic and theoretical model of the too-much-choice effect inductively based on empirical findings. To date, most of the studies that have been conducted focus on experimental examinations, which are essential building blocks for theory development. However, experimental findings only provide fragmentary explanations about the phenomenon. By assembling the pieces derived from those segments, therefore, the too-much-choice effect is treated as a continuum, which may better explain under what situation the effect is more likely to appear and what consequences it may result in.