Solutions of brand posts on Facebook to increase customer engagement using the Random Forest prediction model
Year of publication: |
2023
|
---|---|
Authors: | Vaiciukynaite, Egle ; Zickute, Ineta ; Salkevicius, Justas |
Published in: |
Artificiality and Sustainability in Entrepreneurship : Exploring the Unforeseen, and Paving the Way to a Sustainable Future. - Cham : Springer International Publishing, ISBN 978-3-031-11371-0. - 2023, p. 191-214
|
Subject: | Customer engagement behaviour | Emoji | Machine learning | Posts | Random Forest | Social media | Social Web | Social web | Beziehungsmarketing | Relationship marketing | Konsumentenverhalten | Consumer behaviour | Virales Marketing | Viral marketing | Markenführung | Brand management | Online-Marketing | Internet marketing | Forstwirtschaft | Forestry | Kundenintegration | Customer integration |
-
Customer engagement : a systematic review and future research agenda
Kaur, Gurveen, (2023)
-
Customer engagement behaviour in online social networks : the Facebook perspective
Bitter, Sofie, (2014)
-
Being active in online communications : firm responsiveness and customer engagement behaviour
Sheng, Jie, (2019)
- More ...
-
Kumpikaite-Valiuniene, Vilmante, (2022)
-
Impact of business model innovations on SME’s innovativeness and performance
Gatautis†, Rimantas, (2019)
-
Gerulaitiene, Neringa, (2020)
- More ...