nach oben

Erschienen in:

2023 | OriginalPaper | Buchkapitel

7. Social Interaction and Digital Content Consumption

verfasst von : Xuejing Ma

Erschienen in: Social Influence on Digital Content Contribution and Consumption

Verlag: Springer Nature Singapore

Einloggen

Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.

search-config

KI-gestützte Suche

Aus

Abstract

In this chapter, our attention shifts to the subject of digital content consumption. This chapter explores how social interaction influences users’ content consumption behavior and examines how this effect varies based on the contributors’ level of experience. Our findings reveal a positive correlation between users’ social interaction and gift sending, particularly among contributors with high levels of content provision experience. This research underscores the significance of social influence in digital content consumption.

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

über 102.000 Bücher
über 537 Zeitschriften

aus folgenden Fachgebieten:

Automobil + Motoren
Bauwesen + Immobilien
Business IT + Informatik
Elektrotechnik + Elektronik
Energie + Nachhaltigkeit
Finance + Banking
Management + Führung
Marketing + Vertrieb
Maschinenbau + Werkstoffe
Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

über 67.000 Bücher
über 340 Zeitschriften

aus folgenden Fachgebieten:

Bauwesen + Immobilien
Business IT + Informatik
Finance + Banking
Management + Führung
Marketing + Vertrieb
Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Vorheriges Kapitel Dynamics of Digital Content Contribution, Monetary Incentive, and Social Interaction

Nächstes Kapitel Dynamics of Digital Content Consumption and Social Norm

http://mat1.gtimg.com/chinatechinsights/file/20160926/The_pulse_of_live_streaming_in_China.pdf.

Amore, M. D., & Murtinu, S. (2019). Tobit models in strategy research: Critical issues and applications. Global Strategy Journal, gsj,1363. https://doi.org/10.1002/gsj.1363

Andreoni, J. (1990). Impure altruism and donations to public goods: A theory of warm-glow giving. The Economic Journal, 100(401), 464. https://doi.org/10.2307/2234133CrossRef

Ariely, D., Bracha, A., & Meier, S. (2009). Doing good or doing well? Image motivation and monetary incentives in behaving prosocially. American Economic Review, 99(1), 544–555. https://doi.org/10.1257/aer.99.1.544CrossRef

Bagchi, R., & Cheema, A. (2013). The effect of red background color on willingness-to-pay: The moderating role of selling mechanism. Journal of Consumer Research, 39(5), 947–960. https://doi.org/10.1086/666466CrossRef

Batra, R. K., & Ghoshal, T. (2017). Fill up your senses: A theory of self-worth restoration through high-intensity sensory consumption. Journal of Consumer Research, 44(4), 916–938. https://doi.org/10.1093/jcr/ucx074CrossRef

Cappellari, L., Ghinetti, P., & Turati, G. (2011). On time and money donations. The Journal of Socio-Economics, 40(6), 853–867. https://doi.org/10.1016/j.socec.2011.08.013CrossRef

Goode, S., Shailer, G., Wilson, M., & Jankowski, J. (2014). Gifting and status in virtual worlds. Journal of Management Information Systems, 31(2), 171–210. https://doi.org/10.2753/MIS0742-1222310207CrossRef

Harbaugh, W. T. (1998). The prestige motive for making charitable transfers. The American Economic Review, 88(2), 277–282.

Heckman, J. J. (1979). Sample selection bias as a specification error. Econometrica, 47(1), 153. https://doi.org/10.2307/1912352CrossRef

Hilvert-Bruce, Z., Neill, J. T., Sjöblom, M., & Hamari, J. (2018). Social motivations of live-streaming viewer engagement on Twitch. Computers in Human Behavior, 84, 58–67. https://doi.org/10.1016/j.chb.2018.02.013CrossRef

Hou, F., Guan, Z., Li, B., & Chong, A. Y. L. (2019). Factors influencing people’s continuous watching intention and consumption intention in live streaming: Evidence from China. Internet Research, 30(1), 141–163. https://doi.org/10.1108/INTR-04-2018-0177CrossRef

Jain, A., & Thietart, R.-A. (2014). Capabilities as shift parameters for the outsourcing decision: Research notes and commentaries. Strategic Management Journal, 35(12), 1881–1890. https://doi.org/10.1002/smj.2193CrossRef

Kang, K., Lu, J., Guo, L., & Li, W. (2021). The dynamic effect of interactivity on customer engagement behavior through tie strength: Evidence from live streaming commerce platforms. International Journal of Information Management, 56, 102251. https://doi.org/10.1016/j.ijinfomgt.2020.102251CrossRef

Katz, E., Blumler, J. G., & Gurevitch, M. (1973). Uses and gratifications research. The Public Opinion Quarterly, 37(4), 509–523. JSTOR.

Kim, H.-W., Kankanhalli, A., & Lee, S.-H. (2018). Examining gifting through social network services: A social exchange theory perspective. Information Systems Research, 29(4), 805–828. https://doi.org/10.1287/isre.2017.0737CrossRef

Kumar, A., Bezawada, R., Rishika, R., Janakiraman, R., & Kannan, P. K. (2016). From social to sale: The effects of firm-generated content in social media on customer behavior. Journal of Marketing, 80(1), 7–25. https://doi.org/10.1509/jm.14.0249CrossRef

Lampel, J., & Bhalla, A. (2007). The role of status seeking in online communities: Giving the gift of experience. Journal of Computer-Mediated Communication, 12(2), 434–455. https://doi.org/10.1111/j.1083-6101.2007.00332.xCrossRef

Li, R., Lu, Y., Ma, J., & Wang, W. (2021). Examining gifting behavior on live streaming platforms: An identity-based motivation model. Information & Management, 58(6), 103406. https://doi.org/10.1016/j.im.2020.103406CrossRef

Li, Y., & Peng, Y. (2021). What drives gift-giving intention in live streaming? The perspectives of emotional attachment and flow experience. International Journal of Human–Computer Interaction, 1–13.https://doi.org/10.1080/10447318.2021.1885224

Lu, S., Yao, D., Chen, X., & Grewal, R. (2021). Do larger audiences generate greater revenues under pay what you want? Evidence from a live streaming platform. Marketing Science, 40(5), 964–984. https://doi.org/10.1287/mksc.2021.1292CrossRef

McIntyre, S. H., McQuarrie, E. F., & Shanmugam, R. (2016). How online reviews create social network value: The role of feedback versus individual motivation. Journal of Strategic Marketing, 24(3–4), 295–310. https://doi.org/10.1080/0965254X.2015.1095218CrossRef

Sanbonmatsu, D. M., & Kardes, F. R. (1988). The effects of physiological arousal on information processing and persuasion. Journal of Consumer Research, 15(3), 379. https://doi.org/10.1086/209175CrossRef

Shmargad, Y., & Watts, J. K. M. (2016). When online visibility deters social interaction: The case of digital gifts. Journal of Interactive Marketing, 36, 1–14. https://doi.org/10.1016/j.intmar.2016.01.004CrossRef

Sjöblom, M., & Hamari, J. (2017). Why do people watch others play video games? An empirical study on the motivations of Twitch users. Computers in Human Behavior, 75, 985–996. https://doi.org/10.1016/j.chb.2016.10.019CrossRef

So, K. K. F., Wei, W., & Martin, D. (2021). Understanding customer engagement and social media activities in tourism: A latent profile analysis and cross-validation. Journal of Business Research, 129, 474–483. https://doi.org/10.1016/j.jbusres.2020.05.054CrossRef

Varey, R. J. (2008). Marketing as an interaction system. Australasian Marketing Journal, 16(1), 79–94. https://doi.org/10.1016/S1441-3582(08)70007-7CrossRef

Wan, J., Lu, Y., Wang, B., & Zhao, L. (2017). How attachment influences users’ willingness to donate to content creators in social media: A socio-technical systems perspective. Information & Management, 54(7), 837–850. https://doi.org/10.1016/j.im.2016.12.007CrossRef

Wongkitrungrueng, A., & Assarut, N. (2020). The role of live streaming in building consumer trust and engagement with social commerce sellers. Journal of Business Research, 117, 543–556. https://doi.org/10.1016/j.jbusres.2018.08.032CrossRef

Wu, J., Wu, T., & Schlegelmilch, B. B. (2020). Seize the day: How online retailers should respond to positive reviews. Journal of Interactive Marketing, 52, 52–60. https://doi.org/10.1016/j.intmar.2020.04.008CrossRef

Yang, P., Zhang, Q., & Feng, Y. (2021). Effects of pride-tagged money and surprise-tagged money on online tipping. Internet Research, 31(3), 1061–1082.

Yoon, K., Bolls, P., & Lang, A. (1998). The effects of arousal on liking and believability of commercials. Journal of Marketing Communications, 4(2), 101–114. https://doi.org/10.1080/13527269800000003CrossRef

Zhou, J., Zhou, J., Ding, Y., & Wang, H. (2019). The magic of danmaku: A social interaction perspective of gift sending on live streaming platforms. Electronic Commerce Research and Applications, 34, 100815. https://doi.org/10.1016/j.elerap.2018.11.002CrossRef

Titel: Social Interaction and Digital Content Consumption
verfasst von: Xuejing Ma
Verlag: Springer Nature Singapore
Buch: Social Influence on Digital Content Contribution and Consumption
Print ISBN: 978-981-9967-36-0

Electronic ISBN: 978-981-9967-37-7

Copyright-Jahr: 2023
DOI: https://doi.org/10.1007/978-981-99-6737-7_7