• Title/Summary/Keyword: Company image

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Antecedents of Customer Loyalty in the Context of Sharing Accommodation: Analysis of Structural Equation Modelling and Topic Modelling (공유숙박업에서 고객 충성도에 영향을 미치는 요인: 구조 방정식 모형과 토픽 모델링 분석)

  • Kim, Seon ju;Kim, Byoungsoo
    • Knowledge Management Research
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    • v.22 no.3
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    • pp.55-73
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    • 2021
  • The sharing economy is considered as a collaborative consumption which enables customers to share unused resources. This study investigated the key factors affecting consumer loyalty in the context of sharing accommodation. Emotions, perceived value and self-image consistency were posited as key antecedents of enhancing customer loyalty. Authentic experience, home amenities, and price fairness were also considered as Airbnb's selection attributes. Airbnb was selected a survey target because it is the largest company in the domain of shared accommodation market. The research model was analyzed for 294 Airbnb customer through structural equation models. Additionally, this paper examine Airbnb customers' experiences by topic modelling method posted on the Naver blog. Based on the understanding of the key factors affecting customer loyalty to sharing accommodation, the analysis results contribute to establish effective marketing and operation strategies by enhancing customer experience.

Design and Implementation of Real-Time Mobile Remicon Quality Management Program for Field Response of Remicon mixer (레미콘 배합의 현장 즉시 대응을 위한 실시간 모바일 레미콘 품질 관리 프로그램 설계 및 구현)

  • Kim, Suyeon
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.19 no.2
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    • pp.111-117
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    • 2019
  • In this paper, we propose a mobile remicon quality management system to enable inspection and correspondence with a smart phone in the field check of remicon. We also proposed a real-time slump data processing part to digitize field inspection and XML formats for data exchange with the server. We used the smart phone to transmit real-time image about field inspection of remicon and judged the error at the same time. By doing this, we shared the situation of the remicon products in the field and the head office. Based on the actual results, the development technology is used to determine whether the product is abnormal or not, and to provide appropriate information to the company and the site. Based on the analysis of raw material quality data, it is possible to present real time optimal blending ratio according to raw material import with raw material management data, which is the biggest problem of the ready mixed concrete industry.

A Study on Activation of Movie Marketing Using Interactive Media (인터랙티브 미디어를 활용한 영화 마케팅 활성화 방안)

  • Song, Joon-hee;Lim, Chan
    • The Journal of the Convergence on Culture Technology
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    • v.5 no.1
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    • pp.243-248
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    • 2019
  • As digital media technology continues to evolve, media arts are being created using new technologies. Among them, interactive media provides new experience and interest to the audience in that the audience is completed only by participating in the works. The use of these characteristics as a marketing strategy has led to an increase in sales and a positive image of the company. Through this study, we analyze the case of interactive media contents and infer the usage plan and elements. In addition, we propose a prototype of interactive media contents that can be used as a strategic marketing element by exploring ways to utilize interactive media as a marketing element of the film industry. This suggests the development direction of interactive media that provides a continuous and new sense of immersion to the audience, and suggests subsequent research on effective use of the industry as well as movie marketing.

Antecedents and Consequences of Attitude toward Femvertising (펨버타이징 광고 태도의 선행요인 및 결과 연구)

  • Um, Namhyun
    • The Journal of the Korea Contents Association
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    • v.21 no.1
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    • pp.66-74
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    • 2021
  • As femvertising has raised a great deal of attentions in Korea and abroad, femvertising which focuses on women's equality and empowerment has also brought much pubic attentions. Despite of much attentions, research on femvertising has been scarce. Thus, this study is designed to examine antecedents and consequences of attitude toward femvertising. For antecedents, this study proposes perceived congruence and perceived authenticity; as consequences, it proposes attitude toward brand, purchase intention, and e-word-of-mouth intention. A total of 278 college students participated in the study in return for course credits. Study results suggest that both perceived congruence and perceived authenticity are positively related to attitude toward advertising. In sum, when consumers perceive that femvertising messages are congruent with the company's brand image and the ad messages are authentic, positive attitude toward ads is likely to increase. Findings also suggest that attitude toward femvertising is positively related to attitude toward brand, purchase intention, and e-word-of-mouth-intention. In the last section of this paper, we discuss theoretical and practical implications..

A Study on the Effect of YouTube's Comments on Making a Comeback on the Chart: Focusing on the Case of VIDITOR's 'BraveGirls_Rollin_Comment_Collection' Video (유튜브 댓글이 차트 역주행 인기에 미치는 영향에 관한 연구: 비디터(VIDITOR)의 '브레이브걸스_롤린_댓글모음'을 중심으로)

  • Park, Sung-Bae
    • The Journal of the Korea Contents Association
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    • v.22 no.1
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    • pp.10-22
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    • 2022
  • This study analyzed the effects of YouTube comments on belated hit in music chart by focusing on VIDITOR's YouTube channel video called 'BraveGirs_Rollin_comment_Collection'. For this, first of all, it investigated how the comments used by the channel master could achieve storytelling. Moreover, the reason for its popularity hit was researched by analyzing the comments made by users on this video through the 'Tipping point' rules. As a result, it was seen that this video created storytelling by connecting Brave Girls to the story of the Korean army. At the 'Tipping point,' besides, it was revealed that 'the law of the few' is the military, and 'the stickiness factor' is the good image left through Korea's island, 'Baengnyeongdo,' performance. Finally, the rule of 'the power of context' was indicated that it is a difficult reality situation because of COVID-19 and the good situation due to direct communication through the comments of Brave Girls' members and the company.

Performance Evaluation of Fine-Dust Blocking Effect of Functional Clothing (미세먼지 차단 기능성 의류 제품의 성능 평가에 관한 연구)

  • Seok-Ju, Hwang;Chang-Hoon, Lee;Jin-Kyung, Kwon;Young-Sil, Kim;Eun-Jin, Choi;Da-Jin, Kim;Min, Kim;Se-Jin, Yook
    • Particle and aerosol research
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    • v.18 no.4
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    • pp.137-145
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    • 2022
  • As many studies on the harmfulness of fine dust have been reported, awareness of its seriousness is spreading. Recently, interest in indoor air quality as well as air pollution is increasing, and research on measures to block fine dust flowing into the room from the outside is being conducted. The clothing company is launching functional clothing to prevent fine dust attached to clothing from entering the room through outdoor activities. However, it is difficult to confirm whether there is actually fine-dust blocking performance, and there is no evaluation standard. In this study, the contamination rate caused by fine dust was quantitatively compared through image processing after contamination of the outer fabric for 4 types of commercially available functional clothing with fine-dust blocking effect. The difference in particle contamination according to the material of the outer fabric was analyzed by comparing the surface resistance, and it was found that the higher the surface resistance of the outer fabric material, the more fine dust was attached. The analysis method of this study is expected to be able to quantitatively compare and evaluate the fine-dust blocking performance of functional clothing.

Research on how to promote fashion brands in the e-commerce era - Focusing on the work of a fashion PR agency - (e-커머스 시대 패션브랜드 홍보 방법에 관한 연구 - 패션홍보대행사 업무를 중심으로 -)

  • Song Ae Park
    • Journal of the Korea Fashion and Costume Design Association
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    • v.25 no.2
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    • pp.17-29
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    • 2023
  • The digital environment, which has been rapidly developing since the beginning of the 21st century, has become more specific due to COVID-19, and marketing strategies are rapidly changing to suit purchasing activities of Generation MZ, whose online purchases are becoming the center of their lives. A public relations agency is generally responsible for all aspects of making a client's product or service visible to the public through various forms of media. Among them, a company that performs only fashion-related tasks is called a "fashion PR agency". Now, the fashion industry is also centered on the e-commerce environment, and various digital marketing strategies have been developed and directly related to sales. This study examined the current status of online media and digital marketing, analyzes the aspects of fashion brand promotion strategies and methods in the e-commerce era, focusing on the work of fashion PR agencies, and suggests the direction of new online and offline promotion methods based on marketing and technological aspects. As a result of the study, first, theories on strategies for online media and digital marketing were examined, and found that the amount of online promotion has recently increased and become more specialized. Second, this study examines the concept of fashion PR agencies and analyzed their main tasks through interviews with fashion PR professionals. Third, based on successful online fashion promotion cases, the study analyzed fashion promotion strategies and methods that are being integrated online and offline in the e-commerce era. The main methods included SNS strategy, content strategy, performance strategy, influencer strategy, and event strategy, and it is suggested that integrated management is necessary for consistent brand image management, and an IMC (Integrated Marketing Communication) strategy, which intensively manages all strategies, should be employed.

Korean Air: Bringing Art and Culture to the World (대한항공의 문화마케팅 전략)

  • Yoo, Chang Jo;Ahn, Kwang Ho;Kim, Dong Hoon
    • Asia Marketing Journal
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    • v.11 no.3
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    • pp.167-184
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    • 2009
  • In the ever competitive world airline industry, Korean Air has been seeking on the one hand to streamline its operations through cost control and at the same time to boost customer loyalty and retention through a strong service differentiation strategy. As part of their service differentiation strategy, Korean Air has been actively engaging in culture marketing campaign. Their main activity involves entering into an alliance with the three leading museums of the world. Beginning with the Luvre of France, Korean Air supported the development of voice narration system that included the Korean language. This case describes the efforts of Korean Air to go beyond simply being a company that transports people and packages, to a global leading carrier that links the cities, cultures, and arts of the world. In the process, the case introduces the strategies and detailed actions behind Korean Air's culture marketing efforts.

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Deep Learning Algorithm Training and Performance Analysis for Corridor Monitoring (회랑 감시를 위한 딥러닝 알고리즘 학습 및 성능분석)

  • Woo-Jin Jung;Seok-Min Hong;Won-Hyuck Choi
    • Journal of Advanced Navigation Technology
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    • v.27 no.6
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    • pp.776-781
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    • 2023
  • K-UAM will be commercialized through maturity after 2035. Since the Urban Air Mobility (UAM) corridor will be used vertically separating the existing helicopter corridor, the corridor usage is expected to increase. Therefore, a system for monitoring corridors is also needed. In recent years, object detection algorithms have developed significantly. Object detection algorithms are largely divided into one-stage model and two-stage model. In real-time detection, the two-stage model is not suitable for being too slow. One-stage models also had problems with accuracy, but they have improved performance through version upgrades. Among them, YOLO-V5 improved small image object detection performance through Mosaic. Therefore, YOLO-V5 is the most suitable algorithm for systems that require real-time monitoring of wide corridors. Therefore, this paper trains YOLO-V5 and analyzes whether it is ultimately suitable for corridor monitoring.K-uam will be commercialized through maturity after 2035.

Development of Workplace Risk Assessment System Based on AI Video Analysis

  • Jeong-In Park
    • Journal of the Korea Society of Computer and Information
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    • v.29 no.1
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    • pp.151-161
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    • 2024
  • In this paper, we develop 'the Danger Map' of a workplace to identify risk and harmful factors by analyzing images of each process within the manufacturing plant site using artificial intelligence (AI). We proposed a system that automatically derives 'the risk and safety levels' based on the frequency and intensity derived from this Danger Map in accordance with actual field conditions and applies them to similar manufacturing industries. In particular, in the traditional evaluation method of manually evaluating the risk of a workplace using Excel, the risk level for each risk and harmful factor acquired from the video is automatically calculated and evaluated to ensure safety through the system and calculate the safety level, so that the company can take appropriate actions accordingly. and measures were prepared. To automate safety calculation and evaluation, 'Heinrich's law' was used as a model, and a 5X4 point evaluation scale was calculated for risky behavior patterns. To demonstrate this system, we applied it to a casting factory and were able to save 2 people the time and labor required to calculate safety each month.