Online video channel management: An integrative decision support system framework

Shi, Yuying; Vaghefi, Mahyar Sharif; Zhao, Huimin

doi:10.1016/j.ijinfomgt.2020.102244

Cited by 6 publications

(4 citation statements)

References 125 publications

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“…Users have experienced text communication in Web 1.0, video interactions in Web 2.0, and now are moving toward avatar activities in Web 3.0 [52], [53], [54], [55]. It is how users interact on the Internet and the deep integration of physical and social spaces within cyberspace that have been changing.…”

Section: A Parallel Intelligencementioning

confidence: 99%

ParaDefender: A Scenario-Driven Parallel System for Defending Metaverses

Han

Chen

Liu

et al. 2023

IEEE Trans. Syst. Man Cybern, Syst.

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The metaverse, as an instance of cyber-physicalsocial systems (CPSS) that originates in cyber-physical systems (CPS), features growing complexity, and diversity in terms of functionalities, as well as the exponentially increasing demand in network bandwidth and computational resources, thereby leading to exaggerated security threats. However, compared with the extensive attention received by the metaverse, solutions defending against the threats have not kept pace. A major obstacle to such solutions is virtuality-reality-synthesized threats. Therefore, it is imperative to design new paradigms to defend the metaverse effectively. In this article, we advance a parallel system, dubbed ParaDefender, to defend the metaverse against emerging new threats effectively. Inspired by parallel intelligence, ParaDefender comprises artificial cyberspace, computational experiments, and parallel execution. The basic idea is to make artificial and real cyberspaces executed in parallel to mutually guide each other for enhanced security, wherein the parallel execution is scenario driven in the sense that the scenarios originate from all possible spatial-temporal combinations of security threats in the metaverse. We also demonstrate how to land ParaDefender onto real-world applications, including the Industrial Internet of Things (IIoT) security operation application in the industrial metaverse, and the social governance application.

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Section: A Parallel Intelligencementioning

confidence: 99%

ParaDefender: A Scenario-Driven Parallel System for Defending Metaverses

Han

Chen

Liu

et al. 2023

IEEE Trans. Syst. Man Cybern, Syst.

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“…The work by Martin et al (2020) describes the multimode perspective of information and management. Similarly, France et al (2021) have provided an integrative decision support system framework for understanding online video channel management. In yet another very recent work by Cao et al (2021), the authors describe the understanding of the consumer's behavior by examining the moderation effect of social media.…”

Section: View Count Dynamics Formentioning

confidence: 99%

Modeling view count dynamics for YouTube videos: a multimodal perspective

Anand

Irshad

Dwivedi

2021

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PurposeYouTube allows its users to upload and view videos on its platform. YouTube provides notification to the subscribers whenever a channel uploads a new video thereby making the channel subscribers the potential viewers of the video. And thus, they are the first to come to know about any new offering. But later on, the view count also increases due to virality, that is, mass sharing of the content by the users on different social media platforms similar to word-of-mouth in the field of marketing. Therefore, the purpose of this paper is to examine different diffusion patterns as they can help to inflate traffic and generate revenue.Design/methodology/approachYouTube's view count grows majorly through virality. The pattern of view count growth has generally been considered unimodal in most of the available research in the field of YouTube. In the present work, the growth process due to views through the subscribers and views due to word-of-mouth (virality) is presented. Considering that the impact of virality in view count growth comes later in the video life cycle; the viewing patterns of both the segments have been mathematically modeled; independently.FindingsDifferent models have been proposed to capture the view count growth pattern and how the impact of virality changes the view count growth curve and thereby results in a multimodal curve structure. The proposed models have been verified on various view count data sets of YouTube videos using SPSS (Statistical Package for the Social Sciences), and their ranks have been determined using a weighted criteria–based approach. The results obtained clearly depict the presence of many modes in the life cycle of view counts.Originality/valueTill now, the literature is evident of the video life cycle following a bell shape curve. This study claims that the initial thrust is by subscribers and then the contribution in the view count by people watching via word-of-mouth comes into picture and brings in another hump in the growth curve.

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“…The intense competition among channels and the demanding nature of users have prompted youtubers to pay increasing attention to the quality of content and additional services offered, such as merchandising and subscription benefits. Indeed, to differentiate their production and attract viewers, they have invested in collaborators and equipment to support pre-and post-production stages such as decisions on topic and format mix, video script, set design and editing (France et al, 2021). Secondly, YouTube is one of the main platforms used in influencer marketing campaigns, incorporating commercial messages like sponsored content, affiliate marketing, and product placement (Schwemmer & Ziewiecki, 2018).…”

Section: Introductionmentioning

confidence: 99%

The role of Youtube channel characteristics in shaping followers’ purchase intentions and behavioural engagement: the serial mediation of satisfaction and channel loyalty

Lombardo

2024

Ital. J. Mark.

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The increasing importance of social media influencers, such as youtubers, in the consumer decision-making process has prompted scholars to study this phenomenon. The literature has demonstrated that not only influencer attributes but also content characteristics impact follower behaviours. However, the activity of influencers continues to be predominantly described as a persuasion process aimed at engaging followers in behaviours desired by brands and influencers. Drawing upon e-service and influencer marketing literature, this study aims to broaden the exploration of the influencer category from an e-service perspective by investigating the role played by the evaluation of youtuber content in determining follower satisfaction and behaviours. The results show that four characteristics of a YouTube channel (information quality, entertainment quality, interactivity, and content originality) determine follower satisfaction. Furthermore, satisfaction and channel loyalty serially mediate the effect of the characteristics on behaviours related to the endorsed brand (purchase intention of sponsored brands) and the influencer channel (purchase intention of influencers’ brands, behavioural engagement). This study provides a new perspective on influencers by portraying them as service providers for both followers, serving as content creators, and for brands, acting as communication partners, rather than merely as persuaders. Theoretical and practical implications are discussed.

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Online video channel management: An integrative decision support system framework

Cited by 6 publications

References 125 publications

ParaDefender: A Scenario-Driven Parallel System for Defending Metaverses

ParaDefender: A Scenario-Driven Parallel System for Defending Metaverses

Modeling view count dynamics for YouTube videos: a multimodal perspective

The role of Youtube channel characteristics in shaping followers’ purchase intentions and behavioural engagement: the serial mediation of satisfaction and channel loyalty

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