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Model Perilaku Peralihan UMKM ke Pemasaran Digital: Analisis Pendekatan Push-Pull-Mooring

Authors: R.A Nurlinda; Eka Bertuah; Novera Kristianti Maharani; Elok Hikmawati;

Model Perilaku Peralihan UMKM ke Pemasaran Digital: Analisis Pendekatan Push-Pull-Mooring

Abstract

Digitalization has great potential to boost the national economy, especially for MSMEs, though its realization still faces various obstacles, such as limited digital literacy and access to technology. This study aims to analyze the factors influencing MSMEs' shift toward digital marketing within the Push–Pull–Mooring (PPM) framework and to examine the role of the mooring effect as a mediating variable. This research is a quantitative study using a regression approach and Smart PLS-based Structural Equation Modeling (SEM) analysis with data from 140 MSME respondents. The results show that the pull and mooring effects significantly affect switching intention, whereas the push effect does not. In addition, the mooring effect has been shown to act as a mediator, strengthening the relationship between the pull effect and switching intention. In contrast, in the relationship between the push effect and switching intention, the mooring effect plays no role. This finding confirms that external attractiveness and internal readiness of MSMEs are more decisive in driving the transformation to digital marketing. In contrast, external pressure from limited conventional marketing has less influence. The implication of this research is to focus on strategies to accelerate MSME digitalization by increasing technological attractiveness.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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Average
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