Abstract:
Business opportunities for the world beauty business leaders, especially beauty clinics, the high need for beauty care makes a business opportunity for them. Beauty clinics compete with each other to show their competitive advantage through creative, innovative efforts, work effectively and efficiently so that the products and services they produce become choices for many customers. Based on the problem identification and problem limitation in this study, the problem was formulated whether the training … Show more
“…The results of this study are in line with the theory, (Diniyati, 2010), (Suryawati et al, 2020), (Ismani, 2020).Work with optimal abilities, which is extra income beyond the salary or wages that have been determined.…”
Section: Effect Of Agricultural Incentives On Farmer Participationsupporting
This study examines the effect of the marketing mix and agricultural incentives on farmer participation in organic rice cultivation. This research method uses descriptive quantitative research through survey techniques. The data collection uses observation and interview methods. The data were analyzed using structural equation modeling (SEM) with the help of the Smart PLS application. The results showed that the marketing mix affected farmer participation of -0.082 units with a T arithmetic value of 0.441 < 1.697 or a p-value of 0.660 > 0.005. Agricultural incentives affect farmer participation by 0.923 units with a t-count value of 3.491 > 1.697 or a p-value of 0.001 <0.05. The combined effect of the marketing mix and agricultural incentives on farmer participation is 57.2%, while 42.8% is influenced by other variables not observed in this study.
“…The results of this study are in line with the theory, (Diniyati, 2010), (Suryawati et al, 2020), (Ismani, 2020).Work with optimal abilities, which is extra income beyond the salary or wages that have been determined.…”
Section: Effect Of Agricultural Incentives On Farmer Participationsupporting
This study examines the effect of the marketing mix and agricultural incentives on farmer participation in organic rice cultivation. This research method uses descriptive quantitative research through survey techniques. The data collection uses observation and interview methods. The data were analyzed using structural equation modeling (SEM) with the help of the Smart PLS application. The results showed that the marketing mix affected farmer participation of -0.082 units with a T arithmetic value of 0.441 < 1.697 or a p-value of 0.660 > 0.005. Agricultural incentives affect farmer participation by 0.923 units with a t-count value of 3.491 > 1.697 or a p-value of 0.001 <0.05. The combined effect of the marketing mix and agricultural incentives on farmer participation is 57.2%, while 42.8% is influenced by other variables not observed in this study.
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