The growth of OTT internet and mobile video streaming services is a major development in consumption of global media sport. The online streaming of sporting events has become the important way of copyrights holders to engage sport fans, especially young fans. The most popular live streaming platforms in South Korea, such as NAVER and Africa TV are intervening in coverage rights markets and changing how live sport is experienced and shared across television, computer, tablet and smartphone screens. At the FIFA World Cup Qatar 2022, NAVER's live streaming service reached 121,173,945 cumulative viewers in 64 matches, including the opening ceremony and the final between France and Argentina. Based on suspense theory, this study aimed to examine the factors that influence sport fans’ watching intention to stream online sport. The current study collected the number of cumulative viewers of live streaming from NAVER and Africa TV, for the matches broadcasted across the KBS, MBC, and SBS, a total of 64 matches in the FIFA World Cup Qatar 2022. The results suggest that a measure of the unfolding nature of suspense is a stronger predictor of watching intention than those used previously. The additional measures of suspense that take into account the unfolding events of the contest will be stronger predictors of watching intention than either disposition toward the winning team or closeness of final score.

Small, independent and privately owned luxury companies face a number of challenges in today’s globalized and increasingly digitalized luxury market dominated by big luxury groups. However, the Internet and Social Media also create new opportunities. They enable luxury brands with limited resources to reach out to an international clientele and build brand awareness. Moreover, new channels and platforms allow for multifaceted storytelling, interactive communication with customers and data analysis for quick and continuous learning and improvement of strategies. While many luxury brands have long struggled in the digital sphere, which in many cases represents the exact opposite (e.g. openness, accessibility, dynamic change, etc.) of what luxury stands (or stood) for, a growing number of young and daring luxury brands with no legacy and heritage, embraces digital technology as an important, if not vital part of their business model from day one. Given the often high investment needed to start and sustain a company in the luxury segment, “born digital” luxury start-ups need to show a great deal of creativity, pragmatism, flexibility and a good sense for the actual tastes and preferences of their globally dispersed target group in order to be successful and cut out their share of the market in due time and despite fierce competition. By analyzing the case of VAULT, a Swiss luxury watch brand founded in 2014, the present study explores the main challenges of the young luxury brand with regards to positioning, communication, distribution and business development and the role of the Internet and Social Media for the company’s success. By deriving recommendations for similar brands, the study aims at a practical, but also a theoretical contribution.

Understanding consumer insight in luxury watch purchase is crucial in the current situation where the industry is recovering from a downturn. Today, the consumer does not only purchase a luxury watch to impress others as in the past. Using the means end chain approach, this study discovers that branding, together with design, function and price are key attributes that customers consider. Consequently, the consumer benefits from having a sense of personal identification. In addition, today the consumer perceives the benefit of luxury watch purchase as an investment. Therefore, they seek product distinction, durability, and a value-work product, in order, to serve the perceived value of capital investment. The results of the study reflect a changing trend in the luxury consumer. Prestige value is not the only key factor determining the purchase decision as was found in previous studies. Therefore, the luxury watch players, in an effort to elicit increased sales, should consistently build the brand profile by offering both functionality and design. Furthermore, communication of focus on quality leads to durability that would be considered as an investment asset from generation to generation. Introduction In the luxury watch industry, despite the start of a recovery, from a downward trend, the growth rate is forecast to be at a slow pace (ReportLinker, 2017; Deloitte, 2016). The global luxury watch players face the challenge of decreasing demand as per the change in consumer behavior (Financial Time, 2017). Like other luxury goods, the luxury watch is considered as a product that is not entirely necessary but the drive behind the buying intention is due solely to the personal desire of the consumer In addition, individual perception as well as consumer purchasing power, has a strong link with decision making. Why a consumer buys a luxury watch today is rather different from why they bought one ten years ago (Adams, 2017). This study is conducted in order to understand luxury watch consumer insight using the means end theory, in ways of appropriation, and examine variations in consumer willingness-to-pay (Gengler & Mulvey, 2017). Luxury consumption behavior There are numerous studies to be found that explore luxury product consumption starting from extrinsic themes like consumer purchasing power (e.g. Veblen, 1899), consumer characteristics (e.g.Dubois & Laurent, 1993); (O'cass & McEwen, 2004), consumer behavior (Vigneron & Johnson, 1999; Kastanakis, & Balabanis, 2012) to intrinsic themes like consumer motivation (e.g.Xiao-hui, 2006; Truong & McColl, 2011), consumer perception (e.g. Zhan & He, 2012; Vigneron & Johnson, 2017) and at a more subjective level of consumer value (Sukhdial, Chakraborty, & Steger, 1995; Moraes, Carrigan, Bosangit, Ferreira, & McGrath, 2017; Vigneron, & Johnson, 2017). This is because the nature of the consumer has changed. The current consumer does not view purchasing a luxury item as a vehicle to impress others but much more to serve their own perspectives (Wiedmann, Hennigs & Siebels, 2009). Thus to cope with this downtrend, it is necessary, nowadays, for luxury brand suppliers to have a deep and detailed understanding of customer insight. Means end chain theory (MEC) and laddering MEC has been regarded as one of the most felicitous theories in consumer research since 1980 (Grunert et al. 2001). It was developed to help understand consumer insight in the decision making process (Gengler, Mulvey, & Oglethorpe, 1999) starting from how the consumer thinks about a product and why they buy it. Through MEC (Olson and Reynolds, 1983; Gutman, 1982; Howard, 1977; Young and Feigin, 1975), the researcher and marketer can discover the salient meanings consumers associate with products, both in services and behavior. The chain explains the linkage; starting from attributes through to consequences, and then to values in the form of a hierarchial model Gutman, 1982; Gengler, Mulvey, & Oglethorpe, 1999; Leao and Mello, 2007). Beginning with the first level, attributes are characteristics of the product/service the consumer is expecting which can be both tangible and non-tangible features. However, attributes will mean nothing to the consumer, without so called consequences (Klenosky, 2002). At the second level of the hierarchical model, consequences are benefits that take part in explaining why those attributes are important to consumers (Olson and Reynolds, 1983). The consumer is looking for particulars benefits when purchasing that certain product or service (Voss and Gruber, 2006). The final level is value. The consumer judges the benefit of the product based on the perceived value, in the mind of the customer (Gutman, 1982; Olson and Reynolds, 1983; Costa, Dekker, and Jongen, 2004). It is notable that the higher the hierarchial level, the greater the level of abstraction (Woodruff & Gardial, 1996). Using the MEC helps gain consumer insight information which allows the luxury brand supplier to offer products which are best suited for their targeted consumers (Petison, Thongthou and Lekmoung, 2012). Methodology By its nature, the MEC is adopted as a qualitative research method. In order to understand why a consumer is interested in a product and makes a purchasing decision (Smith and Swinyard, 1999); the decision making process can be revealed using the laddering interview (Gutman, 1982; Olson & Reynolds, 1983; Ozguven, 2012). Through the laddering interview, researchers decide to apply a soft laddering interview; an open answer question, rather than hard laddering interview; or a fixed answer question, to enjoy the benefits of go by the flow (Ozguven, 2012). Furthermore, soft laddering interview is well suited to the elite in a sense that interviewer can adjust questions depending on answers and ambience (Harvey, 2011). In this study a total of 30 luxury watch consumers; 18 females and 12 males, who recently bought luxury watches in 2017 were interviewed. This is because the researchers want to obtain the most up to date information. This group of consumers tended to purchase a luxury watch every year. The most popular brands these consumers purchased are Rolex, Patek Philippe, Panerai and Audemars Piguet. In face to face time, a semi structure interview was applied based on Reynolds and Gutmam (2001), who suggested questions such as; What affects your purchasing decision?, How do you feel about the product? Why do you want to wear this watch? etc. All interviews were recorded and verbatim transcripts produced. Content analyses were applied following the interviews. The preliminary categorization was into groups of attribute consequence and value, and recurring words with similar meanings collected in clusters. Research triangulation was applied to ensure validity. The researchers created a hierarchical value chain for each consumer then analyzed the findings by using LaddermapTM software. Results According to the content analysis process, a total of 28 attributes, 22 consequences, and 15 values were found in the study. Through the LaddermapTM software analysis only 7 attributes, 11 consequences, and 9 values can be reported as in figure 1. Figure 1: Hierarchial value map of luxury watch purchase Brand is the most important attribute from the viewpoint of the luxury consumer followed by design, price and function. For example, one consumer mentioned that “…brand helps one who wears it by identification…it reflects a certain lifestyle…wearing a Rolex is easy to take care of because of its quality as well as the ease to wear on any occasion…it is value for money… but more than this as it constantly appreciates in value.…” In addition, brand is a key attribute that leads to two most important consequences which are personal identification and investment. However, impressing others, which used to be a key rationale for purchasing luxury product is found to be absent from the top consumer benefits nowadays. However, today, luxury brand consumers are more concerned with distinction, durability, and value-work product as a consequence of watch purchase. For example, one consumer said that “…normally, women do not wear Pannarai. I love to be different…so I bought a limited edition….I wear it constantly for both work and leisure activities…although the price is high, I feel secure with the price paid…it has a warranty and good after- sales service…” Among reported values, monetary satisfaction is found to be the most the important followed by self- image and pleasure. For example, one consumers said that “…I always buy Rolex…my parents also use Rolex. From my parent’s experience of use, it was made aware that the Rolex is fabulous due to its quality and resale price. …I have never ever changed my mind about Rolex…it is excellent value as an investment…I am happy and satisfied with the money I have spent…” This study also found other consumers who expressed their satisfaction with money invested in comparison with another investment options such as gold or stocks. Moreover, it is an investment that can be passed on to their children. Discussions and Implications Nowadays, brand, design, price and function are the key attributes that luxury consumers focus on. Luxury brand suppliers should pay particular attention to a design that reflects the unique identity of the brand and distinguishes it from competitors. This is a consistent finding of Subhadip, Jain, &Matta (2018) that the luxury product ought to reflect its own creativity, artistry, and uniqueness. Moreover, consumers prefer a luxury watch that offers various functions that they can be used with ease on any occasion. In addition, the luxury consumer does not only purchase a watch that represents their self-image and bring in pleasure value, but also monetary satisfaction which is found to be most important nowadays so that the luxury watch player should advertise their brand based on this distinctive study finding. Durability is a reflection of quality brand. Warranty is the linkage between quality and value for money. Monetary satisfactory also comes from the benefits of investment and a generation to generation heritage.

Introduction This research will investigate the advancement of cognitive computing and how it can be applied through „Dynamic Marketing Capabilities‟ (Bruni and Verona, 2009) to raise the bar of personalizing services and amenities provided to the luxury watch market loyal customer. Through intuitive digital applications, new levels of interactive systems can focus on explicitly the next generation of hyper-connected luxury customers. Theoretical Development The purpose of this research is to investigate how to personalize the communication process in the luxury market segment through cognitive computing and address the high expectation of the new affluent consumer of the digital age. The next generation of affluent luxury consumers is accustomed to interactive systems and personalized interfaces that enable computers to get more intuitive of the customer(s) to enable them to personal the individual‟s needs. This level of personalization undoubtedly raises the bar on the luxury customer‟s journey from the tactile in-person luxury shopping experience currently found in brick-and-mortar locations, to a decidedly more interactive and increasingly immersive online customer experience. Abbott (1955) and Alderson (1957) focused on the notion that “what people desire are not products but satisfying experiences” (Abbot 1955, p. 40). The fundamentals of cognitive computing are to recognizing trends and behaviors that enable companies to utilize Artificial Intelligence to make proper predictions and give insight to intuitively give consumers what they need before they have to request it. The idea behind this research is to take the traditional luxury market sector of Swiss watches and combine it with the intuitive software provided by cognitive computing. Research Design According to the Federation of the Swiss Watch Industry (FHS) in 2017, Switzerland occupies only 3% of the global market regarding the quantity of watches. As for value, Switzerland represents 54% of global sales that is 21 billion USD. Thus, about 95% of luxury watches with price starting from 1,000 USD are stamped "Swiss Made.” Thus, the Swiss watch industry has become an integral part of the luxury universe. However, it‟s not an easy task to get a place in this luxury market of reference. According to the estimation made by the Institute of Watch Marketing, there are approximately 200 active Swiss independent watch brands on the market today. Under conditions of the highly competitive market, the challenge concerns not only market share, but also competitive advantage as well as customer relationships or brand equity. We situate this research within the context of the Swiss luxury watchmaking industry and focus on the power of the website to increase customer loyalty. We suggest ways to utilize a brand‟s electronic (desk, mobile, tablet) touch points to aggregate data to gain a deeper understanding of their loyalist. Armed with knowledge, luxury watch brands can connect to their customers through the power of artificial intelligence. Affluent “digital native” consumers have “hyper-connected” instincts, and increasingly expect more from their chosen brands through next-level personalization. The continued evolution of consumers‟ online behavior, attitude, and expectations from brands currently exceeds what is possible for a single human to process. It is, therefore, becoming increasingly necessary to incorporate both the power of cognitive computing and the information gleaned from large data sets (big data) to produce more intuitive and personalized experiences. This information enhances the brand‟s ability to uncover behavioral patterns and begin to incorporate “machine learning,” (a subset of AI) a calculated algorithm that can facilitate the process of personalization. The speed at which data can now be processed, analyzed, clustered and contextualized has increased the value of machine learning in the world of the consumer experience. Personalization of luxury branded communication that utilize artificial intelligence (AI) to help them connect intuitively with their audience are more apt to meet the needs of the next generation of affluent consumers on a more personalized level. By focusing on the shift in adaptive interactive systems, we highlight the power of cognitive computing to help offer more intuitive luxury personalization for their loyal customers (owners of the brand‟s watches). Achieving this stage of customization requires computers to mimic human intelligence using logic and insight. This research will explore new opportunities to help identify the independent luxury watch industry to capture the attention of the next generation of customers in cyber-space. The customer‟s journey no longer ends at the front door of the traditional brick-andmortar location – it continues into the digital space and even starts from it. Offline Swiss luxury watch brands have mastered the role of personalization through “white glove” in-person customer service and installations exhibiting their expert craftsmanship. This level of customer service is still best accomplished through cultivating and curating the boutique shopping experience, although AI is rapidly changing this dynamic. Currently, the online experiences of luxury watch brands have proven to be less than satisfying for their discriminating clientele because most still shy away from creating a fully-realized digital landscape including an e-commerce presence. Independent watch brands need to push beyond the generic expectations and curate rich aesthetic experiences that set a crucial dimension of the luxury sector (Berthon et al. 2009). This research begins to address how Swiss luxury watch brands can fully embrace the digital evolution and strategically utilize the valued subset of AI including cognitive computing, machine learning, and adaptive interactive systems. AI machine learning will ensure the level of personalization to which the discerning luxury customer has grown accustomed. The next section details how watchmakers can accomplish this integration. Conceptual Framework Over the past years, researchers have increased conceptual understanding of the role of marketing in enabling firms to create and sustain competitive advantage and superior value (Ramaswami et al., 2009). By potential to improve business performance, some studies (Bruni and Verona, 2009), have introduced the term „Dynamic Marketing Capabilities‟ (DMCs hereafter). In fact, DMCs are focused explicitly on releasing and integrating the market knowledge that helps firms evolve. The strategic position of marketing to absorb market knowledge allows Swiss luxury watch brands to provide accurate insight into brand equity and distinctive experience. DMCs are capabilities that use market knowledge to adapt firms‟ resources and capabilities (Day, 1994; Slater and Naver, 1998). In this research will explore the characteristics and uses of market-based resources, such as building brands, relationships, and knowledge and apply to digital solutions through interactive systems and personalized interfaces. This market-based perspective suggests that marketing research increasingly focuses on intangible, complementary resources, whose effects on the firm‟s sustained competitive advantage (SCA) and performance may be greater than the impact of tangible resources (Srivastava et al.1998). As much as 70% of a firm‟s market value may come from its intangible resources (Capraro and Srivastava 1997), and organizational performance increasingly seems tied to intangible resources, such as customer relationships or brand equity (Lusch and Harvey 1994). The abundance of active users globally on the internet, smartphones, laptops, tablets, and desktops creates a wealth of data, up to 80 percent of which is untapped and unstructured and not contextualized for use (Alexander, 2016). This unused data often referred to as “dark data,” includes web images, social media networks, emails, blogs, and videos (Alexander, 2016). An analysis of the online behavior of a brand‟s current customers contributes to the formation of stronger, more meaningful clusters based on current customer personas to reveal patterns of similar interests between groups of customers. This majority of available data can be analyzed by machine learning, and “the more data an algorithm can train on, the more accurate it will be” (Deep Learning, n/a). The sub-domain of machine learning, deep learning, which is itself a sub-domain of AI, breaks down tasks to make machine assistance possible (Copeland, 2016). Thus, deep learning provides insights, which can then be used to help curate a personalized experience through predictive analytics. Gathering customer attributes through insight for this research requires that we take a closer look at similar customer gathering registering their watches online (serial number required) making sure to capture necessary demographic and psychographic information, and through using clientele retail locations, which would then was mined for insights and more branded content. The reactive software would utilize deep learning algorithms to recognize moments, behavior and geo-location to offer realtime personalized mobile engagement. The increasingly common practice of merging of marketing teams enhances marketing deliverables through the User Interface (UI) and User Experience (UX). The interface, coupled with the experience, need to work synergistically to drive curiosity and encourage the user to explore and discover what will eventually become more personally-targeted curated content on the website. To further explain how these technologies can be employed for the luxury watchmaking companies, we examine several Swiss luxury watch brands. Describing how actionable data derived from cognitive computing can create a more intuitive customer experience, Vishal Katelia, Senior Manager, Global CRM at the luxury ecommerce website Mr. Porter provides an analogy from the luxury hotel world. He says that luxury hotels excel in many ways, “especially around the „surprise and delight‟ aspect of keeping track of small but important details that personalize their clientele‟s experience from the type of pillow they prefer to sleep on. Paying attention to these details can ensure future expertise, are as perfect as the hotel can offer (Miller, 2016). While machine learning focuses on building machines that replicate the human brain‟s cognitive capabilities to apply this knowledge from cognitive science to react in a intuitive way (Jones, 2017). Artificial intelligence refers to "a broad set of methods, algorithms and technologies that make software 'smart' in a way that may seem human-like to an outside observer," according to Lynne Parker, director of the division of Information and Intelligent Systems for the National Science Foundation (Noyes, K., 2016). Cognitive technologies are themselves products of artificial intelligence that perform human-like tasks such as speech recognition, natural language process, machine learning, computer vision (Schatsky D., Muraskin, Ragu Gurumurthy, R. 2015). Furthermore, it is important to look beyond AI to the most efficient way to personalize the customer‟s experience. By using cognitive technologies marketers can create intuitive experiences for customers offering services and experiences based on behavioral profiling through data clusters and affinity analysis. Result The actionable insight that can be gained through this research was presented in a two-pronged process. First, connecting data that would typically be collected from a brand‟ e-commerce customers‟ journey now would be used to produce more curated content. The ability to apply cognitive computing through tools such as Qubit (data science company) that was used for this study that offers gives us the opportunity to apply an affinity analysis to form insights, patterns, behaviors that previously were undiscovered. Insights gathered would help to identify and reward loyal customers beyond the standard loyalty programs with notifications, private activations on geolocation services. Second, understanding the UX and UI on the websites of the three pre-selected independent luxury watch brands enabled us to follow and eventually understand the user‟s journey both on mobile and desktop. The personalization of the interface allows for in-depth learning to better understand an individual‟s needs and create an intuitive experience for the user. This research is limited to the personalization of loyal users, not to the interested parties of the independent luxury watch brands. While for marketing purposes, most insight collected from a brand‟s website typically is obtained from e-commerce, the independent luxury watch brands are currently limited to UX to measure the movement and interests of the users. The practical application of utilizing untapped „dark data‟ through the process of deep learning personalizes the interface and further utilizing AI technology to offer unique immersive experiences raises the innovation of personalization. The behavioral insights provided by deep learning can contextualize actionable information, which can then be applied by the brand‟s marketing management, retail managers, digital marketing, and public relations (PR) teams. Collection Process & Insight 1. Discovery of Audience Clusters based on Interests 2. Selection Process of Interest-Sets 3. Profiling / Persona of Audience 4. Discovery patterns from AI‟s Subset of Deep Learning 5. Select Deliverables That Align with Brand Through Mobile Applications Further investigation and re-evaluation of changing audience should be measured through the new applied data collected from discovering of new AI subset of deep learning from the luxury consumer. The AI movement will continue to change the next generation of affluent consumer‟s expectations, and with a continued reliance on smartphone technology it is inevitable that the future of personalization will require further investigation. While we have specifically focused on these three independent luxury watchmakers and the four clusters of interests currently available on their websites, future research will need to more deeply examine how the continued evolution of deep learning measurements can be best utilized to match the organic interests of the next generation of loyal customers. The behavioral insights provided by deep learning can contextualize actionable information, which can then be applied throughout the luxury brand communication; marketing management, retail managers, digital marketing, and public relations (PR) teams. Conclusion In this paper, we aimed to revisit luxury customer‟s expectation in the digital age and discuss how the industry is in the midst of a revolution that is changing the level of expectations of personalization. There is no doubt that the new technology is shifting the levels of customization through interactive systems and personalized interface will continue to advance. The next generation of affluent consumers have a high demand for interactive visual content, and dynamic marketing capabilities concept helps to integrate data for creating the new value and competitive advantage for the company. Cognitive computing insight will continue to enable luxury Swiss watches makers to understand how to personalize for the next generation of affluent consumers; more research is required to continue to explore more actionable insight.

초연결사회의 시대가 도래하여 시간과 공간의 제약없이 효율적으로 정보를 전달할 수 있는 스마트 디바이스의 사용이 보편화되었다. 스마트 디바이스는 사람과 사물 간의 상호작용을 통하여 정보를 전달할 수 있도록 점차 웨어러블 형태로 발전하고 있으며, 의복 형태의 스마트 디바이스인 스마트의류는 인체에 가장 밀착한 상태로 각종 생체신호 등의 측정이 가능하기 때문에 미래 일상생활에서 사용도가 높아질 것으로 주목받고 있다. 기존에 개발된 스마트의류는 의복에 전자장치를 부착한 형태로 개발되어 기기 이물감으로 인해 착용 시 사용자의 불편을 야기하여 지속적으로 생체신호를 측정하기에 한계가 있었다. 이에 따라 점차 전자장치가 텍스타일 내의 한 요소로 통합되어 있는 스마트 텍스타일을 기반으로 한 스마트의류의 개발이 요구된다. 본 연구에서는 현재 소비자에게 가장 근접한 웨어러블 디바이스인 스마트워치 사용자를 대상으로 하여 사용경험에 기반한 감성을 통해 웨어러블 디바이스에서 사용자가 필요로 하는 요구조건을 탐색하고자 하였다. 스마트워치 사용자의 경험에 기반한 감성에 대해 구체적인 답변을 얻고자 반구조화 된 심층인터뷰를 통해 질적 연구를 수행하였으며, 심층인터뷰 내용을 바탕으로 사용자감성을 기능적, 심미적, 사회적, 경험적 네 가지 측면으로 분류하였다. 측면별로 감성키워드를 설정하여 빈도 수 확인을 통해 스마트워치 사용자의 관심도를 알아보았다. 본 연구의 결과를 미래의 웨어러블 디바이스로 주목받고 있는 스마트의류 제작에 필요한 스마트 텍스타일 개발을 위한 기초자료로 활용하고자 한다.

Luxury watch manufacturers open boutiques around the globe. A branded boutique is a promise to customers and much of the responsibility of keeping it weighs on frontline employees. However, not much is known about the “moments of truth” in monobrand boutiques. This study explores the “front reality” of sales staff and besides a theoretical and a managerial contribution provides a critical reflection of the methodological approach.

This study analyzed characteristics of officers’ watch-keeping during fishing operation at the fisheries training ship KAYA(GT: 1,737 tons, Pukyong National University). It observed fishing works of three officers in wheel house of KAYA. The observations were carried out at the fishing ground 45 miles away from east of Jeju from 7 to 8 January 2010. The works and movements of the officers were recorded with three common video cameras and a 4-channel MPEG-4 Triplex DVR. Recorded data of the working circulation was analyzed by using the post-processing method. As a result of the traffic lines, the average (±S.D) of working hour (min) and moving frequency (times), distance (m) and speed (m/min) during setting the net was 11.8 (0.9), 43.7 (8.1), 133.9 (35.8) and 10.5 (0.6), respectively. During trawling the net, it was 100, 241 (39.8), 615.7 (194.6) and 5.2 (1.6), respectively. During hauling the net, it was 17.6 (1.4), 41.0 (7.2), 196.9 (37.6) and 10.7 (0.8), respectively. In addition, it has a different tendency of the instrument usage frequency by the fishing works. During setting, the usage priority was CCTV, ECDIS, RPM and pitch controller, net monitor, GPS plotter, chart room, X-band radar, fish finder and public addressor. During trawling, it was CCTV, ECDIS, fish finder, X-band radar, net monitor, chart room, GPS plotter, RPM and pitch controller, auto pilot and steering, interphone, wind speed and direction indicator, No.1. VHF, navigation light control panel and public addressor. During hauling, it was CCTV, RPM and pitch controller, GPS plotter, public addressor, chart room, net monitor, X-band radar, auto pilot and steering and fish finder.

This study analyzes how and why video gamers intentionally watch media on video games that they play and like through online platforms such as YouTube and Afreeca TV. More specifically, this study utilizes the Uses and Gratification theory in order to understand game players’ psychological behaviors and patterns in detail. Among the various types and genres of video games, this study focuses on the fighting game “Tekken 7” published by the Japanese company Namco. Tekken 7 is distinguished in some ways in that its platform is an arcade rather than PC or mobile phones and that it emphasizes mind game between game players. By analyzing how and why Tekken 7 gamers watch Tekken 7-related media over the Internet and new media, this study further provides a blueprint for the future of the new media.

Attitude and ability of frontline employees in customer interaction influence company reputation. Since respective theory is scarce, this paper – based on a qualitative interview study – presents an examination of the status quo of the topic in luxury watch retail. Theories of service quality, identity and impression management are briefly addressed.

Nearly 70% of the Swiss luxury watch market is represented by major groups, bringing together worldwide well-known brands. In order to stand out from concurrence and to get a place in this highly competitive market of reference, independent (often unknown) companies have to find other vectors of marketing differentiation.

Purpose of CH4 reference gases Intercomparison is to evaluate measurement ability among different laboratories and to improve problems in analyzing reference gases. As a result, the goal is for being reached a scale within the limits of the possibility in intercomparison. Korea Meteorological Administration (KMA) and Korea Research Institute of Standards and Science (KRISS) carried out CH4 reference gases intercomparison of the Far East Asia managed by Japan and CH4 intercomparison among standard institutions managed by Consultative Committee for Amount of Substance (CCQM) respectively. CH4 reference gas and standard gases is injected to calibrate instrument drift by turns and checked uncertainty of measurement additionally. Expanded uncertainty in intercomparison among meteorological administrations in the Far East Asia showed 1784.3 ppb±0.26%, 1935 ppb±0.29% respectively. Expanded uncertainty in the case of one point calibration and multipoint calibration showed 1903 ppb±0.11%, 1904 ppb±0.32% respectively. One point calibration obtained better result than mult-point calibration because of having an extent of different manufacturing uncertainty in the case of using various standard gases and having an instrument drift caused by long-time analysis. Through these intercomparison experiment, we could know that concentration of CH4 standard gases produced in CMDL was higher about 1.3~1.4% (about 24~26 ppb) than those of KRISS. This is reason caused a difference between manufactured by gravimetric method and manometric method. Therefore, the standard gases is required to intervalidation with standard institutions and GAW observatories. Also, a low level standard gases need to be calibrated by upper level standard gases periodically.

This study is focused on the manufacturing technique of powder injection molding of watch case made from zirconia powder. A series of computer simulation processes were applied to the prediction of the flow pattern in the inside of the mould and defects as weld-line. The material properties of melted feedstock, including the PVT graph and thermal viscosity flowage properties were measured to obtain the input data to be used in a computer simulation. Also, a molding experiment was conducted and the results of the experiment showed a good agreement with the simulation results for flow pattern and weld line location. On the other hand, gravity and inertia effects have an influence on the velocity of the melt front because of the high density of ceramic powder particles during powder injection molding in comparison with polymer's injection molding process. In the experiment, the position of the melt front was compared with the upper gate and lower gate positions. The gravity and inertia effect could be confirmed in the experimental results.

경상대학교 해양과학대학의 실습선 새바다호를 사용하여 통영항 내의 동호만에서 1999년 9월 3~4일 사이에 투묘와 양묘를 포함한 선박의 궤적을 PATK-GPS 선간거리계측 시스템을 이용하여 위치와 거리 및 상대방위를 측정하고, 그 측위 정도의 유효성과 묘박의 실시간 가능성에 대하여 분석한 결과를 요약하면 다음과 같다. 1. 투묘 후 묘가 브로트업 앵커가 될 때까지의 시간은 4분이 소요되었고, 완전한 묘박 상태로 되어 선박의 궤적이 나타나기 시작하는데 요하는 시간은 10분 정도였다. 2. 묘박중 선체는 묘를 중심으로 하여 8자형의 요동운동을 나타내었다. 3. 측정 전체 시간대의 평균 묘박위치는 투묘위치로부터 북으로 49m, 동으로 89m로 편향되었다. 4. 선박의 궤적은 묘를 중심으로 하여 상태방위 186.1˚에서 194.2˚까지의 8.1˚ 폭 사이를 장반경 63m, 단반경 53m의 거리로 타원형에 가까운 궤적을 그리고, 반시계 방향으로 이동하는 경향이 있는 것으로 나타났다. 5. 선위의 분포 빈도가 가장 높은 것은 상대방위 187˚, 거리 558m 지점이었고, 가장 낮은 점은 상대방위 194˚, 거리 556m의 지점이었다. 6. PRTK-GPS는 거리와 방위를 동시에 측정할 수 있으므로 선박의 묘박에 요구되는 적정한 면적과 주묘의 상태를 연속적으로 정밀하게 파악할 수 있으므로 묘박의 감시에 매우 적절한 시스템이라 판단된다.

Heat watch warning systems are operating in Korea and several other countries (China, the United Kingdom, France, the United States, Germany, Australia, and Japan). The heat wave indices used in this system are the heat index, perceived temperature, the wet bulb globe temperature, and the daily maximum temperature. To improve the heat wave advisory and warning system, some suggestions have been made. The meteorological-health index (i.e., indirect index), has especially been proposed in previous studies. This information should be provided not only to vulnerable groups (seniors, infants, and children), but also to outdoor workers who may be particularly exposed to heat waves. In addition, to have sufficient preemptive response times, the need for an extension of the heat watch warning period was suggested. Finally, the subdivision of administrative units and risk stages was proposed.

본 연구는 우리나라 최대 항만인 부산항의 남외항 정박지를 VTS(Vessel Traffic Service)에서 효율적으로 관리하는 방안을 제시하기 위해 정박선간 적정한 영역감시(Domain Watch)를 산정하는 데 목적이 있다. 이를 위해 영역감시 산출 방법을 제시하고 최근 정박지 이용 현황 중 정박선이 가장 많았던 기간에 선박 길이(L), 정박선간 거리( Dij), 영역감시 반경(R), 선박 길이 대비 영역감시 반경(R/L)을 1시간 간격으로 조사하였다. 조사된 자료에 대해 기술 분석을 한 결과, 정박선 한 척이 다른 정박선과 안전거리를 확보할 수 있는 최소 R/L을 조사된 전체 자료의 70 %ile(백분위수)에 해당하는 2.85를 기준으로 산정할 수 있었다. 이 결과를 부산항 남외항 정박지에 적용하여 이를 ‘항만 및 어항 설계 기준(2014)과 비교한 결과 상당 부분 일치하였고, 이를 통해 VTS에서 정박선의 영역감시 반경을 최소 2.85L 이상으로 설정하는 것이 타당함을 확인하였다. 본 연구는 정박지 안전 관리를 VTS 차원에서 검토한 것으로, 부산항과 같은 집단 정박지를 운영 중인 타 항만에 적용할 경우 정박지를 이용하는 선박의 안전과 VTS의 안전 관리 방안 마련에도 기여할 수 있을 것으로 기대된다.

이 연구에서는 최근 5년(2010～2014년) 동안의 데이터를 이용하여 우리나라의 풍랑특보 분포 특성에 대하여 분석하였다. 풍랑특보는 우리나라 주변 해역을 항해하는 선박 및 해양 구조물 등의 안전에 큰 영향을 미치므로 중요한 의미를 가진다. 풍랑특보는 한반도의 동측 즉, 동해남부 및 동해중부 해역, 남해동부 해역에서 많이 나타난다. 이 결과는 온대저기압의 이동과 발달, 계절풍의 세기 등과 밀접히 관련되어 있 다. 그리고 풍랑특보는 12월에 가장 많고, 1월과 3～4월에도 높은 빈도수를 보인다. 계절로 구분해 보면, 겨울 〉봄 〉가을 〉여름의 관계를 확 인할 수 있는데, 이들 결과는 온대저기압의 발생 및 발달, 계절풍의 세기 차이 등에 의한 것이다. 앞바다와 먼바다의 월별 풍랑특보 분포에 대 하여 통계 분석한 결과, 양자는 강한 양의 상관관계가 있음을 확인하였다.