A new study by Lembaga Demografi, Faculty of Economics and Business, Universitas Indonesia (LD FEB UI) has found that GOJEK contributed IDR 44.2 trillion, or a little over US$3 billion, in added value to the Indonesian economy in 2018. The similar research by LD FEB UI in 2017 found GOJEK to contribute IDR 15.1 trillion (US$ 1.06 billion) from just two services: GO-RIDE and GO-FOOD.
The research also found that the average income of GOJEK’s driver-partners and GO-LIFE talents to be above the average minimum wage across the areas surveyed.
But there’s more than that. The research revealed that 90% of GOJEK partners are confident they can improve their family’s welfare by joining GOJEK. Also, they are highly confident they can send their kids to school, feel a strong sense of solidarity with their fellow driver partners, and view their partnership with GOJEK as fair.
On GO-FOOD, the research found that 93% of SME merchants experience an increase in transaction volume. The interesting part is, they joined GO-FOOD because of its advance technology! That’s why we’re the SuperApp. Around 75% of SME merchants also went cashless for the first time after they signed up GO-FOOD.
Last but not least, 70% of GO-LIFE talents were found to be women and almost 50% of them are breadwinners of their families. Also, 95% of female talents are confident they can be fully independent with GO-LIFE. GO-LIFE has truly increased female participation in Indonesia’s digital economy.
LD FEB UI research on GOJEK is one of the largest of its kind in Indonesia. It involved face-to-face interviews with 3,886 two-wheel driver partners (GO-RIDE); 1,010 four-wheel driver partners (GO-CAR); 1,000 SME partners (GO-FOOD); 836 GO-LIFE partners (GO-CLEAN and GO-MASSAGE), and was done across nine major cities in Indonesia (Balikpapan, Bandung, Denpasar, Greater Jakarta, Makassar, Medan, Palembang, Surabaya, Yogyakarta). The margin of error of the study is below 3.5% (the lower the margin the more accurate the research; typically quantitative surveys would aim to have a sample size that translates to below 5% margin of error).
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