2022
DOI: 10.29138/ijebd.v5i4.1934
|View full text |Cite
|
Sign up to set email alerts
|

The Effect of Promotional Strategies Through Social Media Marketing on Sales Volume of Micro Small and Medium Enterprises Post-Covid-19 Pandemic

Abstract: Purpose: The purpose of this study was to determine and analyze the effect of advertising promotion strategies and sales promotions through social media marketing on the sales volume of small and medium enterprises after the Covid 19 pandemic. Design/methodology/approach: This study uses quantitative research methods and includes explanatory research because this study intends to explain the causal relationship between variables through hypothesis testing using partial least squares path modeling (PLS-SE… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1

Citation Types

0
6
0

Year Published

2023
2023
2024
2024

Publication Types

Select...
3

Relationship

0
3

Authors

Journals

citations
Cited by 3 publications
(7 citation statements)
references
References 6 publications
0
6
0
Order By: Relevance
“…In assessing structural models with PLS, it can be seen from the R Square value for each endogenous latent variable as the predictive power of the structural model where the R Square values are 0.75 (Strong), 0.50 (Medium) and 0.25 (Weak) (Sugiono, 2018;Alimudin et al, 2022). To see if the model meets the model fit criteria, where the model viewed with an SMSR score must be less than 0.1 (Backer et al, 2018;Alimudin et al, 2022). It can be seen that the magnitude of the influence of data accuracy, ease of use, and accessibility on process speed with an R Square value of 78.4% and an R Square Adjusted value of 78.1%, while the magnitude of the influence of data accuracy, ease of use and accessibility on credit performance with an R Square value of 86.9% and an R Square Adjusted value of 86.6%, where the model in this study is categorized as High (Backer et al, 2018;Alimudin et al, 2022).…”
Section: ) Average Variance Extracted (Ave) Valuesmentioning
confidence: 99%
See 3 more Smart Citations
“…In assessing structural models with PLS, it can be seen from the R Square value for each endogenous latent variable as the predictive power of the structural model where the R Square values are 0.75 (Strong), 0.50 (Medium) and 0.25 (Weak) (Sugiono, 2018;Alimudin et al, 2022). To see if the model meets the model fit criteria, where the model viewed with an SMSR score must be less than 0.1 (Backer et al, 2018;Alimudin et al, 2022). It can be seen that the magnitude of the influence of data accuracy, ease of use, and accessibility on process speed with an R Square value of 78.4% and an R Square Adjusted value of 78.1%, while the magnitude of the influence of data accuracy, ease of use and accessibility on credit performance with an R Square value of 86.9% and an R Square Adjusted value of 86.6%, where the model in this study is categorized as High (Backer et al, 2018;Alimudin et al, 2022).…”
Section: ) Average Variance Extracted (Ave) Valuesmentioning
confidence: 99%
“…To see if the model meets the model fit criteria, where the model viewed with an SMSR score must be less than 0.1 (Backer et al, 2018;Alimudin et al, 2022). It can be seen that the magnitude of the influence of data accuracy, ease of use, and accessibility on process speed with an R Square value of 78.4% and an R Square Adjusted value of 78.1%, while the magnitude of the influence of data accuracy, ease of use and accessibility on credit performance with an R Square value of 86.9% and an R Square Adjusted value of 86.6%, where the model in this study is categorized as High (Backer et al, 2018;Alimudin et al, 2022). 2) Fit Model Indicates an SMSR value of 0.093 where the value is greater than 0.1 and an NFI value of 0.707 is less than 1 which means the model meets the model fit criteria.…”
Section: ) Average Variance Extracted (Ave) Valuesmentioning
confidence: 99%
See 2 more Smart Citations
“…Using social media for promotions can be more profitable than print media, such as brochures, newspapers, or magazines, and the perceived price of a product can positively impact sales for small and medium-sized businesses (Chawla & Chodak, 2021). In 2020, there were 160 million active social media users on Instagram, and in 2021, there were 91.77 million social media users in Indonesia, with 36.4% being in the 18-24 age range (Alimudin et al, 2022). Instagram is particularly popular, being the thirdmost used social media platform after YouTube and WhatsApp.…”
Section: Introductionmentioning
confidence: 99%