Pengaruh Strategi Marketing Mix terhadap Pendapatan Pedagang Kaki Lima Kuliner Kota Bukittinggi dengan Digital Marketing sebagai Variabel Moderasi

ARZUSIN Pub Date : 2024-01-08 DOI:10.58578/arzusin.v4i1.2483
Irvan Nanda, Iiz Izmuddin
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Abstract

The purpose of this study was to analyze the effect of the marketing mix strategy on street vendors' income at culinary street vendors in the city of Bukittinggi and estimate digital marketing to moderate the effect of marketing mix strategies on street vendors' income at culinary street vendors in the city of Bukittinggi). The research method uses a quantitative approach (correlation research). The research location in the city of Bukittinggi will be carried out in 2023 until completion. Data was obtained using a questionnaire which was distributed to 30 respondents to all street vendors. The data analysis used in this study is the Warp Partial Least Square program. With the help of Warp-PLS software 5. The results of the MIX Marketing Strategy research have a positive and significant effect on the income of street vendors with a β value of 0.65 and a P-Value of 0.01, smaller than 0.5 indicated by an R^2 value of 0.42, which means that the contribution to the influence of Marketing Strategy MIX to street vendors income by 42%. Digital Marketing has a positive and significant effect on PKL's income with a β value of 0.68 and a P-Value of 0.01, small of 0.5 indicated by an R^2 value of 0.46, which means that the contribution of Digital Marketing's influence on Street vendors' income is 46%. Digital Marketing moderates the effect of the MIX Marketing Strategy on street vendors' income with a moderation effect coefficient of 0.16 and a P-Value of 0.02, less than 0.05. indicated by the R^2 value of 0.44 (44%).
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以数字营销为调节变量的营销组合策略对武吉亭吉市烹饪街头小贩收入的影响
本研究的目的是分析营销组合策略对武吉亭吉市烹饪街头小贩收入的影响,并估计数字营销对营销组合策略对武吉亭吉市烹饪街头小贩收入影响的缓和作用。)研究方法采用定量方法(相关研究)。研究地点位于武吉亭吉市,研究将于 2023 年进行,直至完成。数据是通过向所有街头小贩发放的 30 份调查问卷获得的。本研究采用 Warp 偏最小平方程序进行数据分析。借助 Warp-PLS 软件 5.MIX 营销策略研究结果对街头小贩的收入有积极而显著的影响,β 值为 0.65,P 值为 0.01,小于 0.5 的 R^2 值为 0.42,这意味着营销策略 MIX 对街头小贩收入的影响贡献率为 42%。数字营销对 PKL 收入有正向显著影响,β 值为 0.68,P 值为 0.01,小于 0.5 的 R^2 值为 0.46,这意味着数字营销对街头小贩收入的影响贡献率为 46%。数字营销调节了 MIX 营销策略对街头小贩收入的影响,调节效应系数为 0.16,P 值为 0.02,小于 0.05。
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