Reinforcement Strategy for Optimization Motoran.id Platform

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Fattony, Muhammad Nur (2019) Reinforcement Strategy for Optimization Motoran.id Platform. Graduate thesis, Sekolah Tinggi Manajemen IPMI.

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Abstract

The main objective of this thesis is to strengthen strategies related to how Motoran gets more consumers to always use the Motoran application as a reliable application. As Motoran.id comes as an online market application solution to buy and sell quality used motorcycles without worry for the people of Indonesia. Researchers collect external analysis data, such as; Political Economy, Sociology, Technology, Law and Environment (PESTLE), Five Forces Porters, Kotler analysis and competitor analysis. As well as internal data such as Business Model Canvas (BMC), Resource Based View (RBV) and SWOT Matrix Analysis derived from Internal Motoran documents. This is the formulation of the researcher in researching the problem and discovering Motoran's uniqueness that is described in a descriptive qualitative manner. The findings of this qualitative study indicate that start-up companies like Motoran must have a holistic view of hypercompetitive industry competition overshadowed by existing competing companies. The researchers can conclude that before they have to find the right angel investor to ensure that the company has a "first weapon" that is sufficient capital in formulating a strategy and to consistently maintain a strong brand image in the end. Furthermore, the results of this research analysis show that Motoran's biggest threat comes from capital constraints where Motoran must try to find angel investors to maintain their business activities. Then, on the other hand, Motoran must open or expand their brand names to other dealer branches or other used motorcycle agents such as in Java and Sumatra, so that used motorcycle users become customers and finally find out the existence of the Motoran application. Keywords – used motorcycle company, e-commerce, marketplace, reinforcement strategy, external and internal analysis, hyper-competition,

Item Type:	Thesis (Graduate)
Subjects:	H Social Sciences > HD Industries. Land use. Labor > HD28 Management. Industrial Management H Social Sciences > HE Transportation and Communications
Divisions:	Thesis > Master of Business Administration
Depositing User:	Gandes Mranani
Date Deposited:	22 Jan 2020 04:28
Last Modified:	22 Jan 2020 04:28
URI:	http://repository.ipmi.ac.id/id/eprint/335

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