The Migration of Viewers in Gaming Streaming: The Perspective of a Push-Pull-Mooring Model

Xu, Xiaoyu; Wang, Lu-Yao; Zhao, Kai; Chang, Fang-Kai

doi:10.1080/10447318.2021.1886480

Cited by 19 publications

(14 citation statements)

References 105 publications

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“…Satiation is defined as reduction in the overall satisfaction among individuals due to prolonged exposure to similar stimuli (Yan et al , 2019). Xu et al (2021) posit that perceived boredom directs the viewers away from the incumbent video game. Dar and Xiongying (2021) concluded that satiation with the taste and presentation of food drives consumers' intentions to switch restaurants.…”

Section: Hypothesis Developmentmentioning

confidence: 99%

Switching to peer-to-peer accommodation (P2PA): an extended push-pull-mooring model perspective from emerging economy

Gupta

Mahajan

Dogra

et al. 2022

JHTI

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PurposeDrawing on the Push-Pull-Mooring model, this study sheds light on the factors that drive tourists to switch from traditional hotels to peer-to-peer accommodation (P2PA) in light of the global spread of the Covid-19 pandemic.Design/methodology/approachData have been collected from 380 participants through an online pan India survey. The data were mainly analyzed by adopting structural equation modeling.FindingsAll the three categories of push, pull and mooring factors are crucial in explaining tourists' switching intentions from hotels to P2PA. Out of all the factors, subjective norm came out to be the most significant factor while satiation (push factor) and authentic experiences (pull factor) also came out to be important indicators.Practical implicationsThe findings of this study carry implications for hoteliers as well as P2PA platform hosts. Hotels need to re-conceptualize their standard services, décor and amenities while P2PA hosts need to continue providing authentic experiences and also comply with all the Covid-19 norms.Originality/valueThe study offers a comprehensive PPM model to determine tourists' intentions to switch from hotels to P2PA. Moreover, this paper is one of the early studies to provide insights into tourists' switching intentions amidst Covid-19.

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Section: Hypothesis Developmentmentioning

confidence: 99%

Switching to peer-to-peer accommodation (P2PA): an extended push-pull-mooring model perspective from emerging economy

Gupta

Mahajan

Dogra

et al. 2022

JHTI

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“…Emerging Media 1(2) (Xu et al, 2021). From the perspective of consumption value theory, service value and customer satisfaction are critical determinants of service consumption (Hur et al, 2012;Park, 2018).…”

Section: Discussionmentioning

confidence: 99%

“…Mooring effects are key factors encouraging individuals to leave their original service provider (Li & Ku, 2018; Xu et al, 2021). According to previous marketing research, satisfaction, service quality, value, and price factors can also serve as mooring factors, driving users’ switching decisions.…”

Section: Theoretical Backgroundmentioning

confidence: 99%

Factors Influencing Switching Intention and Customer Retention of Over-the-Top (OTT) Viewing Behavior in Taiwan: The Push–Pull– Mooring Model

Chang,

Chiu

2023

Emerging Media

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The proliferation of over-the-top (OTT) platforms, offering a wide array of on-demand content accessible through the Internet, has reshaped the media landscape and transformed viewing habits. This has led to a decline in traditional cable TV subscriptions and reduced revenue for telecom operators who often bundle TV services with their broadband offerings. The acquisition of customers and retention of existing ones are critical objectives of OTT service providers in Taiwan, and understanding consumer switching behavior can assist them in maintaining their competitiveness. Therefore, the current study applied the push–pull–mooring model to delineate the determinants of users’ switching and retention intention on OTT services. An online survey of 500 individuals was conducted to collect data for this research. This study investigates the factors that affect users who switch or stay in OTT services to gain a specific understanding of how push (service value and customer satisfaction), pull (attractiveness of alternatives and social influence), and mooring (switching costs and habit) effects shape their behavior. Our empirical model provides compelling rationales for understanding the principal antecedents of switching and retention intentions. In addition to push and pull effects, this study also highlights the importance of examining the moderating effects of OTT switching behaviors, such as switching costs and habit experience. Moreover, this study empirically and theoretically extends the understanding of push, pull, and mooring effects on OTT service-switching decisions.

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“…Users will actively migrate and switch hedonic platforms. After long-term, excessive, and repeated contact with the same platform, the difficulty of emotional arousal gradually increases, which leads to usage transfer [35].…”

Section: Technical Defects At the Streaming Media Levelmentioning

confidence: 99%

“…We have learned some latent variables through flexible informal interviews in colleges and universities in the Greater Bay Area. Also, we consult some media studies [8,15,18,35] and summarize the independent variable (IV) that has three dimensions: Media, Human, and Context.…”

Section: Research Questions and Variablesmentioning

confidence: 99%

Research on the Multidimensional and Sustainable Design Strategy of Streaming Media Under the Integration of User Experience and Perceptive Technology in Greater Bay Area

Wang¹,

Liang²,

Chen³

et al. 2022

Proceedings of the 2022 2nd International Conference on Computer Technology and Media Convergence Design (CTMCD 2022)

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First of all, Guangdong, Hong Kong, Macao and the Greater Bay Area streaming media business as a variety of national policies under the strong support to complete the initial development, and harvest the "streaming media night city" reputation, but the surface of the traffic growth does not represent its growth path is smooth, in COVID-19 is the emergence of many difficult to break through the obstacles. The market for streaming media is limited in scope, and the cost of acquiring new users is getting higher and higher. The operators in the Greater Bay Area are not deeply involved in the application of behavioral and perceptual computing technologies, and the traditional operation strategy is missing a series of measures that can effectively wake up high precision, which becomes the biggest threat to the sustainable operation strategy. Therefore, this paper takes the integration of computational experience technologies to guide users' return opportunities as the starting point, based on the Re-domestication framework and through powerful experiments to uncover the value, perception and real behavior of re-use experienced by users during the churn period. Meanwhile, this paper investigated the awareness, experiences and attitudes of 785 streaming media users in the Greater Bay Area about re-domestication by using a structured questionnaire in three dimensions: Media, Human, and Context. Analysis was conducted to refine, analyze and model the important variables. The results of the study showed that the variables H2c Business Plasticity, H4c Social Identity, H3a Spiritual Pursuit, H3c Self-Actualization and H2b Social Urgency are the key factors for user return, and we also analyzed and integrated these variables based on personal opinions. We also analyze and integrate these variables based on our personal views. Finally, we build a new "computer technology + streaming media operation" model based on the perspective of user experience design and technology for different platform sizes, social, economic, cultural and technological. On the theoretical level, this study breaks the gap between horizontal interpretability and vertical empirical evidence; on the practical level, it establishes a sustainable design direction for streaming media designers with technology integration as the main focus, and brings a new operational vision for streaming media platforms that can break

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The Migration of Viewers in Gaming Streaming: The Perspective of a Push-Pull-Mooring Model

Cited by 19 publications

References 105 publications

Switching to peer-to-peer accommodation (P2PA): an extended push-pull-mooring model perspective from emerging economy

Switching to peer-to-peer accommodation (P2PA): an extended push-pull-mooring model perspective from emerging economy

Factors Influencing Switching Intention and Customer Retention of Over-the-Top (OTT) Viewing Behavior in Taiwan: The Push–Pull– Mooring Model

Research on the Multidimensional and Sustainable Design Strategy of Streaming Media Under the Integration of User Experience and Perceptive Technology in Greater Bay Area

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