2020
DOI: 10.1108/apjml-04-2019-0262
|View full text |Cite
|
Sign up to set email alerts
|

The influence of perceived social media marketing elements on consumer–brand engagement and brand knowledge

Abstract: PurposeThis paper investigates the impact of social-media marketing elements, namely entertainment, customisation, interaction, electronic word-of-mouth (EWOM) and trendiness, on consumer–brand engagement and brand knowledge.Design/methodology/approachUsing an online survey, the study collects data in Hong Kong from 214 experienced social-media users, as indicated by their consumption of a durable technology product, a smartphone. We used partial least squares structural equation modelling (PLS–SEM) to test th… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

23
308
3
40

Year Published

2020
2020
2023
2023

Publication Types

Select...
7
2

Relationship

0
9

Authors

Journals

citations
Cited by 250 publications
(374 citation statements)
references
References 151 publications
(255 reference statements)
23
308
3
40
Order By: Relevance
“…The expected positive moderating effect ( Shepherd et al, 2020 ) of academic background (ACADEMIC) on the influence of better reciprocal knowledge between customers and business (AWARENESS) on financial performance, also stated in H2, exists and is positive but not significant. Figure 4 shows that, in line with H2, companies with higher marketing objectives, aimed at obtaining customer information, obtained better financial performance ( Aker et al, 2019 ; Cheung et al, 2020 ). This positive effect is stronger when the female entrepreneurs have a higher educational level ( Galvão et al, 2018 ).…”
Section: Empirical Methods and Resultssupporting
confidence: 58%
See 1 more Smart Citation
“…The expected positive moderating effect ( Shepherd et al, 2020 ) of academic background (ACADEMIC) on the influence of better reciprocal knowledge between customers and business (AWARENESS) on financial performance, also stated in H2, exists and is positive but not significant. Figure 4 shows that, in line with H2, companies with higher marketing objectives, aimed at obtaining customer information, obtained better financial performance ( Aker et al, 2019 ; Cheung et al, 2020 ). This positive effect is stronger when the female entrepreneurs have a higher educational level ( Galvão et al, 2018 ).…”
Section: Empirical Methods and Resultssupporting
confidence: 58%
“…Many companies set their social marketing objectives in terms of gaining knowledge about their consumers ( Cheung et al, 2020 ). They are established during the first stages of the relationship between the company and customers, and normally seek awareness and name recognition among customers.…”
Section: Literature Review and Hypothesis Developmentmentioning
confidence: 99%
“…Furthermore, Ernawati's research (2019) done in Bandung revealed that product quality brought positive influence towards purchase decision. Regarding the explanation before, the proposed hypothesis is specified as follow: H1: Product Quality brings influences towards purchase decision A strong and popular brand image turns out to be customers' main reference in determining a decision to buy a product, brand image may influence customers' satisfaction and contribute to the future advantages (Cheung et al, 2020). A research implemented in Turkey by Omer et all., (2014) explained that there were influences of brand image towards purchase decision.…”
Section: Introductionmentioning
confidence: 99%
“…Partial least square structural equational modeling (PLS-SEM) was used for the data analysis because it is suitable for studies with a number of constructs, appropriate for studies with small sample sizes (i.e., n ≤ 500), and it is better than covariance-based SEM for theory testing [58]. As such, we followed the recent empirical studies to use PLS-SEM to perform the data analysis [59,60]. Firstly, the measurement model was analyzed using the SmartPLS 3.2.8 software [58].…”
Section: Data Collection and Analysismentioning
confidence: 99%