• Title/Summary/Keyword: live-data

Search Result 1,454, Processing Time 0.022 seconds

Analysis and Applicability Assessment of Robotic Live-Line Electricity Distribution Technology (로봇을 활용한 배전 활선공법 기술분석 및 적용 타당성 연구)

  • Yang, Seon-Je;Kuc, Tae-Yong;Park, Choon-Sik;Seo, In-Yong
    • The Transactions of The Korean Institute of Electrical Engineers
    • /
    • v.67 no.9
    • /
    • pp.1125-1140
    • /
    • 2018
  • This paper analyzes robotic technology developed for live-line electricity distribution and its applicability to domestic environment. In doing so, available robotic systems developed for the live-line work are thoroughly investigated and compared in terms of from robotic functionality to economic feasibility. To assess the technology readiness for domestic live-line robot, the rubber gloves based direct live-line engineering methods have been also analyzed and mapped into robotic technology requisites. The results are expected as a fundamental data to help with solving the safety and economics issues when considering development and introduction of compact live-line robot for complex domestic electricity distribution environment.

Effects of Wanghong marketing in live commerce on chinese consumers' purchase intention toward fashion products - Focusing on the mediating effect of Wanghong's characteristics and consumers' co-experience - (라이브 커머스의 왕홍 마케팅이 중국 소비자의 패션상품 구매의도에 미치는 영향 - 왕홍의 특성과 소비자 공동경험의 매개효과를 중심으로 -)

  • La, Kyung Won;Oh, Kyung Wha
    • Journal of the Korea Fashion and Costume Design Association
    • /
    • v.23 no.1
    • /
    • pp.19-36
    • /
    • 2021
  • Real-time two-way communication has become an important factor in the relationship between consumers and broadcasters in the Live Commerce environment. To clarify, the relationship of the factors, and the effect of Live Commerce's on consumer purchase intention were examined. In addition, the role of Wanghong, who broadcasts Live Commerce and Co-experience that occurs between consumer and broadcasters influences consumer purchase intention. An online survey method was conducted for 403 subjects in their 20s that were Live Commerce users in Shanghai, Beijing, and Guangzhou, China. The number of final the data used for the analysis was 274 and anlaysis was conducted using SPSS 26.0 program and a Sobel test was employed. Based on the analysis of the data, it was found that Live Commerce's characteristics consisted of interactivity, security, and Wanghong's characteristics consisted of honesty, originality, and expertise. Also, it revealed that Co-experience was consisted of responsiveness and vividness. Second, for Live Commerce's characteristics, the Wanghong's characteristics, and Co-experience had a positive effect on the consumers' purchase intention. Third, the Wanghong's characteristics and vividness, a factor of Co-experience, had significant mediating effects on the relationship between Live Commerce's characteristics and the consumers' purchase intention. Finally, responsiveness of Co-experience had a noteworthy mediating effect on the relationship between the interactivity of Live Commerce's characteristics and the consumers' purchase intention. This study confirmed the important role of Live Commerce's characteristics, the Wanghong's characteristics and Co-experience in relation to the consumers' purchase intention. In addition, the Wanghong's characteristics and Co-experience were proposed as a significant mediating factors.

Proactive Virtual Network Function Live Migration using Machine Learning (머신러닝을 이용한 선제적 VNF Live Migration)

  • Jeong, Seyeon;Yoo, Jae-Hyoung;Hong, James Won-Ki
    • KNOM Review
    • /
    • v.24 no.1
    • /
    • pp.1-12
    • /
    • 2021
  • VM (Virtual Machine) live migration is a server virtualization technique for deploying a running VM to another server node while minimizing downtime of a service the VM provides. Currently, in cloud data centers, VM live migration is widely used to apply load balancing on CPU workload and network traffic, to reduce electricity consumption by consolidating active VMs into specific location groups of servers, and to provide uninterrupted service during the maintenance of hardware and software update on servers. It is critical to use VMlive migration as a prevention or mitigation measure for possible failure when its indications are detected or predicted. In this paper, we propose two VNF live migration methods; one for predictive load balancing and the other for a proactive measure in failure. Both need machine learning models that learn periodic monitoring data of resource usage and logs from servers and VMs/VNFs. We apply the second method to a vEPC (Virtual Evolved Pakcet Core) failure scenario to provide a detailed case study.

The Mediating Role of Interaction in the Relationship between IWOM and Purchase Intention E-commerce Live Broadcast (전자상거래 생방송에서 IWOM과 구매의도의 관계에서 상호작용의 매개역할)

  • Zou, ChangYun;Kim, Chee-Yong
    • Journal of Korea Multimedia Society
    • /
    • v.25 no.2
    • /
    • pp.382-389
    • /
    • 2022
  • In China, E-commerce live broadcast has emerged as the most popular and innovative online shopping form for today's consumers, and its "real-time interactive" feature can compensate for the communication delays of general online shopping. Based on the author's previous research it has been demonstrated that, in the E-commerce live broadcast environment, Internet Word of Mouth (IWOM) has become an important reference for consumers when making purchases. In this paper, we reconstructed the "IWOM-Purchase Intentions" model and use interaction (Auchor-Audience and Audience-Audience) as a mediating variable to empirically investigate the impact of IWOM on purchase intentions in E-commerce live broadcast. The data were collected through a questionnaire survey of individuals who had experience in E-commerce live broadcast and 250 valid data were obtained and analyzed by SPSS21.0. The results show that: the interaction (Auchor-Audience) acts as a mediator between IWOM (strength of relationship; word-of-mouth quality and word-of-mouth timeliness) and purchase intention; And the interaction (Audience-Audience) acts as a mediator between word-of-mouth timeliness on purchase intention, but has no significant mediation on the impact on the strength of relationship and word-of-mouth quality to purchase intention. On this basis, recommendations are made for the implementation of IWOM marketing strategies for E-commerce live broadcast platforms and anchors.

The Effect of Live Commerce to Increase Consumer's Purchase Intention: The Case of China

  • Wei-Keon ZHANG
    • Journal of Distribution Science
    • /
    • v.21 no.12
    • /
    • pp.103-111
    • /
    • 2023
  • Purpose: This study explores the impact of live commerce on consumer purchase intention in the Chinese market. Live commerce, a novel marketing strategy that fuses e-commerce with live streaming, has gained significant popularity in China. The study aims to pinpoint main ways that live commerce increases customers' propensity to make purchases. Research design, data, and methodology: The PRISMA technique was adhered to in the systematic cycle of finding, screening, and selecting publications. Predefined keywords like "live commerce," "live-stream shopping," "consumer purchase intention," and "China" produced a large number of possibly pertinent research in the first search. Results: This study has delved into the profound effects of live commerce on consumer purchase intention, with a specific focus on the dynamic Chinese market. This study has identified four primary outcomes that support the revolutionary potential of live commerce: increased product engagement, significant social influences, dynamic pricing tactics, and the establishment of trust and credibility. Conclusions: Finally, the study provides live commerce practitioners with valuable insights, advising them on maximizing these impacts to increase consumer buy intention. In summary, this study offers helpful information to companies and marketers who want to take advantage of live commerce as a powerful tool for connecting with Chinese customers and increasing sales.

Influences of Motivations on Interactivity in the Live Streaming Commerce

  • KIM, Juran
    • The Journal of Industrial Distribution & Business
    • /
    • v.12 no.10
    • /
    • pp.43-57
    • /
    • 2021
  • Purpose: This study focuses how motivations influence interactivity in the live streaming commerce context. Live streaming commerce involves the provision of e-commerce activities and transactions via a live streaming platform that offers real-time interaction, entertainment, social activities, and commerce. The purpose of study is to examine effects of motivations on perceived interactivity and the effects of perceived interactivity on attitude and intention to use the live streaming commerce. Research design, data and methodology: The study investigates key questions about consumers' motivation to use live streaming commerce and perceived interactivity by surveying 300 users of live commerce. Participants were asked whether they were live streaming commerce users who had experienced live streaming commerce before participating in the survey. The full survey required live streaming commerce users to respond to all the questions. Results: The study uncovered motivations for using live streaming commerce by finding information, entertainment, pass time, fashion/status and real time and perceived interactivity in the live streaming commerce. The results indicated motivation to use live streaming commerce positively influenced perceived interactivity. Perceived interactivity had positive effects on attitude toward brand. Attitude toward brand had positive effects on intention to use. Conclusions: Live streaming commerce is getting increasing attention from marketers because live streaming commerce has seamlessly integrated commerce, social activities, and hedonic factors. This study clarifies motivations and perceived interactivity in the live streaming commerce context. The study uncovers the relationships between motivations, perceived interactivity, attitude, and intention to use that contributes to the theoretical foundation and practical implications for marketing and management in the live streaming commerce context. Specifically, the study develops the theoretical contributions to perceived interactivity in the in the live streaming commerce context. The results also contribute to the practical implications for new marketing strategies that provides dynamic real-time interaction, exact information, and social and hedonic factors to attract consumers to indulge in the consumption processes. Marketing practitioners will obtain insights that can help them develop and manage brand strategies by understanding the influence of motivation and perceived interactivity in the live commerce context, which offers opportunities for contactless marketing and management.

Exploring Social Experience as Mediator of Shopping Behavior in Live Streaming Commerce

  • Kim, Hyeon-Cheol
    • International journal of advanced smart convergence
    • /
    • v.11 no.1
    • /
    • pp.76-86
    • /
    • 2022
  • The purpose of this study is to provide insights into live streaming consumer purchase intention by drawing on congruence between consumer and influencer factors and live shopping contents factors during the spread of COVID-19. We surveyed 348 individuals who have watched Fresh Hema's live streaming. SPSS and AMOS were used for data analysis. We determined that only actual congruity between influencer and consumer significantly influenced the consumer social experience. On the other hand, both the informativeness and entertainment value of live shopping contents positively impacted the consumer social experience. Additionally, social experience was significantly related to consumer co-experience and purchase intention. Moreover, the significant mediation effect of social experience was found amongst congruence between consumer and influencers, live shopping contents, co-experience, and purchase intention.

Determinants of Live Commerce Acceptance: Focusing on the Extended Technology Acceptance Model (TAM)

  • Zhi Pan;Hee Jun Cho;Dong Hyuk Jo
    • KSII Transactions on Internet and Information Systems (TIIS)
    • /
    • v.17 no.10
    • /
    • pp.2750-2767
    • /
    • 2023
  • Live Commerce is rapidly emerging as a new paradigm for the digital economy and consumption activities in the post-COVID era. Many prior studies have been conducted on Live Commerce, but studies focusing on the characteristics of sources of Live Commerce are insufficient. This study aimed to investigate the human factors of sources that affect consumers' intention to use Live Commerce. For this purpose, based on an expanded TAM (Technology Acceptance Model) through literature research, variables were set, and a survey was conducted targeting Korean consumers who have experienced purchasing products through Live Commerce. Excluding unreliable data, 201 responses were utilized in the analysis of this study. At first, the measurement tools were checked through validity and reliability verification, and correlation analysis was conducted to identify the relationships between variables. Then, the proposed hypotheses were verified through multiple regression analysis. As a result, firstly, the human factors of sources had a positive effect on PU (Perceived Usefulness). Secondly, the PEOU (perceived ease of use) had a positive effect on both PU and CS (Consumer Satisfaction). Thirdly, PU had a positive effect on CS and ITU (Intention to Use). Finally, CS with Live Commerce had a positive effect on the ITU. Through this study, we try to provide an understanding of consumer behavior in the Live Commerce environment and contribute to enhancing the service provider's ability to offer high-quality Live Commerce content.

A Study on the Impact of Live Commerce Interaction on Consumer Emotional Responses and Behavioral Intentions (라이브 커머스의 상호작용이 소비자의 감정반응 및 행동의도에 미치는 영향에 관한 연구)

  • YuRong Sun;Byoung-Jai Kim
    • Journal of Information Technology Applications and Management
    • /
    • v.31 no.2
    • /
    • pp.35-49
    • /
    • 2024
  • With the development of e-commerce, live streaming e-commerce, as an emerging marketing method, is on the rise. It integrates various ways of information delivery, providing consumers with unprecedented shopping experiences, particularly through its interactive nature, which can increase audience engagement and immersion. This study delves into how interactive elements in live streaming e-commerce influence consumer emotions and purchase intentions. By employing literature review and empirical analysis methods, we analyzed various interactive factors in the live streaming e-commerce environment and revealed the process through which these factors stimulate audience emotions and lead to specific purchasing behaviors. The results confirm that the interactive appeal of live streaming e-commerce significantly influences consumers' positive emotional responses, consequently enhancing purchase intentions. This study aims to explore the relationship between the interactive features of live streaming e-commerce and consumer emotional responses and purchase intentions, thereby filling theoretical gaps in the field of live streaming e-commerce and proposing new marketing theories. Additionally, by analyzing how interactive features stimulate consumers, optimal live content strategies can be proposed for live streaming e-commerce platforms and hosts, thus aiding in the improvement of marketing strategies and sales effectiveness.

An Analysis on Confidence Level of Domestic Precision Guided Missile(PGM) based on Live-fire Test Results (국내 정밀유도무기 사격시험 결과 기반 신뢰수준 분석)

  • Seo, Bo-Gil;Yoon, Young Ho;Kim, Bo Ram
    • Journal of Korean Society for Quality Management
    • /
    • v.48 no.1
    • /
    • pp.215-225
    • /
    • 2020
  • Purpose: The purpose of this study was to show current states of domestic Precision Guided Missile(PGM) by analyzing Live-fire test results using general methods to get the Confidence Levels. Methods: Live-fire test results were used to get Confidence Levels of PGM. The Confidence Levels were derived by two general methods. The first method was Binomial distribution and second was convergence of Hypergeometric distribution and Bayes' rule. Results: The results of this study are as follows; The more Live-fire tests of PGM are performed, the higher Confidence Level of PGM will be estimated. And the number of Live-fire tests are related to a unit price of PGM. This results means that the increase of live-fire test, which is useful data for preparation and evaluation of Development Tests / Operation Tests for PGMs, is only way to enhance the Confidence Levels of each PGMs. Conclusion: This study shows the relationship between the Live-fire tests and Confidence Levels of PGMs and it will be used on Live-fire Test & Evaluation of PGMs for reference.