• 제목/요약/키워드: Streaming platforms

검색결과 64건 처리시간 0.025초

Trans-Parasocial Relation Between Influencers and Viewers on Live Streaming Platforms: How Does it Affect Viewer Stickiness and Purchase Intention?

  • Kim, Jeeyeon;Liu, Jui-Ting;Chang, Sue Ryung
    • Asia Marketing Journal
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    • 제24권2호
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    • pp.39-50
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    • 2022
  • Live streaming has become one of the most important communication tools for influencers to synchronously interact with viewers. It is critical to understand the effect of the reciprocal and synchronously interactive relations built between influencers and viewers, so-called trans-parasocial relations, in the context of live streaming. In this study, we investigate how trans-parasocial relations impact viewers' stickiness and purchase intention on live streaming platforms. Furthermore, we investigate fanship as a mediating factor in the relationship between trans-parasocial relations and viewers' behaviors. Overall, the results reveal significant direct and indirect effects of trans-parasocial relations on viewers' stickiness and purchase intention. Higher trans-parasocial relations further lead to stronger viewers' fanship toward influencers and increases their willingness to stay longer or make purchases on live streaming platforms. These findings further the understanding of influencer-viewer relations and viewers' behavior on live streaming platforms and provide valuable insights into influencer marketing and live streaming.

Exploring the Working Mechanisms of Digital Shadow Work in Chinese Music Streaming Application Use: A Longitudinal Approach Using the Grounded Theory Method

  • Haoxi Wu;Joon Koh
    • Asia pacific journal of information systems
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    • 제34권2호
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    • pp.421-446
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    • 2024
  • Through Information and Communication Technology (ICT), the growth of music streaming platforms has revolutionized music consumption. "Digital Shadow Work" (DSW) refers to unpaid labor in digital spaces, with some prior research on its aspects. However, a comprehensive understanding is hindered by limitations in existing studies such as a lack of universality and dynamic exploration. To address these gaps and enable a comprehensive investigation into the role of DSW within highly versatile digital applications such as digital streaming platforms, this study employs a grounded theory methodology, a qualitative approach well-suited for exploring the intricacies of DSW among users of Chinese music streaming applications over a two-month period, involving longitudinal interviews with nine participants. The study findings elucidate the dynamic nature of DSW perceptions, which fluctuate across different stages of use and change in intensity over time. This study uncovers mixed attitudes towards DSW tasks, and observes a waning enthusiasm for social features over time, prompting some users to consider switching platforms. This study highlights the importance of thoughtful and user-centric feature development to enhance user satisfaction and the understanding of DSW, providing practical design and enhancement implications for music streaming applications.

Architecture of Streaming Layer as Core of Personal Robot's Middleware.

  • Li, Vitaly;Choo, Seong-Ho;Jung, Ki-Duk;Choi, Dong-Hee;Park, Hong-Seong
    • 제어로봇시스템학회:학술대회논문집
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    • 제어로봇시스템학회 2005년도 ICCAS
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    • pp.98-100
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    • 2005
  • This paper, proposes concept of personal robot middleware core also called streaming layer. Based on openness and portability, the streaming layer is proposed in order to meet requirements of different kinds of applications. The streaming layer architecture provides effective management of data flows and allows integration of different systems with ease regardless software of hardware platform. With extensibility support additional features can be build in without affect to performance. Therefore, heterogeneous network support, real-time communications, embedded boards support can be easily achieved. In order to achieve high performance together with portability into different platforms, the most functions has to be implemented in C language, while critical parts, such as scheduling, priority assignment has to be made using native functions of tested platforms.

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Evolution and Historical Review of Music in Mass Media

  • Kang-iL Um;Jiyoung Jung
    • International Journal of Advanced Culture Technology
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    • 제12권3호
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    • pp.370-379
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    • 2024
  • In this paper, we explore the historical development and revolutionary impact of music in mass media across various forms, including radio, television, film, and digital platforms. The evolution of music in mass media reflects significant technological and cultural shifts over the past century. From the early days of radio to the advent of digital streaming, music has played a crucial role in shaping the types of mass media. Early radio broadcasts in the 1920s relied on live performances and recordings to captivate audiences, establishing music as a central element of media content. The rise of television in the 1950s brought new opportunities for music integration, with theme songs, variety shows, and music videos becoming staples of TV programming. The film industry further revolutionized the use of music, with iconic scores enhancing cinematic storytelling and emotional depth. The digital revolution of the late 20th century introduced new formats and services, expanding access to music and transforming consumption patterns. Recently, streaming platforms and social media allow for personalized music experiences and direct artist-fan interactions. Through an analysis of technological advancements, this study highlights the integral role of music in enhancing narrative, evoking emotions, and creating cultural identities. We present our understanding of this evolution to provide insights into future trends and potential innovations in the integration of music with mass media, including the use of artificial intelligence and virtual reality to create immersive auditory experiences.

The Streaming Industry in the U.S.: The Present and Future Prospects

  • Jeongsuk Joo
    • International Journal of Advanced Culture Technology
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    • 제12권1호
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    • pp.94-99
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    • 2024
  • In this paper, we aim to examine the recent state of the streaming industry in the U.S., and its future prospects as the most important force shaping the media landscape across the globe. First, we examine the launch of Disney's streaming services in late 2019 that heralded the start of the so-called streaming war to win subscribers and how the outbreak of COVID-19 in early 2020 helped its rapid growth. Then, we look at the crisis of the streaming industry in 2022, as subscriber growth slowed down for the first time and losses increased, and how this led to the growing emphasis on profitability. We also explore the subsequent attempts by streaming companies to cut costs and create more revenue, with the result that they were retreating from the previous strategy to grow their platforms at all costs. From this, we highlight that, while the future course of the streaming industry is not yet determined, the recent upheavals certainly made it more cost-conscious and conservative and less consumer-friendly.

The AHP Analysis of Music Streaming Platform Selection Attributes

  • Tae-Ho, Noh;Hyung-Seok, Lee
    • 한국컴퓨터정보학회논문지
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    • 제28권1호
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    • pp.161-170
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    • 2023
  • 본 연구는 음원 스트리밍 서비스 및 e-service 관련 기존 연구를 바탕으로 음원 스트리밍 플랫폼에 대한 선택요인들을 도출하고, 각 요인들 간의 중요도를 파악하기 위해 AHP기법을 실시하였다. 본 연구의 결과, 음원 스트리밍 플랫폼의 1단계 선택요인들인 안전성, 경제성, 정보성, 편리성, 응답성 중에서 경제성이 가장 중요한 요인으로 나타났다. 1단계 요인과 2단계 요인의 가중치를 종합화한 결과에서는 합리적인 가격이 가장 중요한 요인으로 나타났다. 마지막으로 성별과 연령에 따라 음원 스트리밍 플랫폼의 선택요인간 중요도 차이의 유무를 판단하고자 추가적인 분석을 실시하였다. 본 연구를 통해서 소비자들이 음원 스트리밍 플랫폼를 이용할 때 가장 중요하게 고려하는 요인이 무엇인가를 파악할 수 있을 것이다.

순환 신경망 기반 딥러닝 모델들을 활용한 실시간 스트리밍 트래픽 예측 (Real-Time Streaming Traffic Prediction Using Deep Learning Models Based on Recurrent Neural Network)

  • 김진호;안동혁
    • 정보처리학회논문지:컴퓨터 및 통신 시스템
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    • 제12권2호
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    • pp.53-60
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    • 2023
  • 최근 실시간 스트리밍 플랫폼을 기반으로 한 다양한 멀티미디어 컨텐츠의 수요량과 트래픽 양이 급격히 증가하고 있는 추세이다. 본 논문에서는 실시간 스트리밍 서비스의 품질을 향상시키기 위해서 실시간 스트리밍 트래픽을 예측한다. 네트워크 트래픽을 예측하기 위해 통계적 모형을 활용하였으나, 실시간 스트리밍 트래픽은 매우 동적으로 변화함에 따라 통계적 모형보다는 순환 신경망 기반 딥러닝 모델이 적합하다. 따라서, 실시간 스트리밍 트래픽을 수집, 정제 후 Vanilla RNN, LSTM, GRU, Bi-LSTM, Bi-GRU 모델을 활용하여 예측하며, 각 모델의 학습 시간, 정확도를 측정하여 비교한다.

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

  • 손옥영;김병재
    • Journal of Information Technology Applications and Management
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    • 제31권2호
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    • pp.35-49
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    • 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.

Information Behavior on Social Live Streaming Services

  • Scheibe, Katrin;Fietkiewicz, Kaja J.;Stock, Wolfgang G.
    • Journal of Information Science Theory and Practice
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    • 제4권2호
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    • pp.6-20
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    • 2016
  • In the last few years, a new type of synchronous social networking services (SNSs) has emerged—social live streaming services (SLSSs). Studying SLSSs is a new and exciting research field in information science. What information behaviors do users of live streaming platforms exhibit? In our empirical study we analyzed information production behavior (i.e., broadcasting) as well as information reception behavior (watching streams and commenting on them). We conducted two quantitative investigations, namely an online survey with YouNow users (N = 123) and observations of live streams on YouNow (N = 434). YouNow is a service with video streams mostly made by adolescents for adolescents. YouNow users like to watch streams, to chat while watching, and to reward performers by using emoticons. While broadcasting, there is no anonymity (as in nearly all other WWW services). Synchronous SNSs remind us of the film The Truman Show, as anyone has the chance to consciously broadcast his or her own life real-time.