%0 Journal Article
	%A Abeba Nigussie Turi and  Xiangming Samuel Li
	%D 2022
	%J International Journal of Industrial and Systems Engineering
	%B World Academy of Science, Engineering and Technology
	%I Open Science Index 184, 2022
	%T Data-Driven Decision-Making in Digital Entrepreneurship
	%U https://publications.waset.org/pdf/10012523
	%V 184
	%X Data-driven business models are more typical for established businesses than early-stage startups that strive to penetrate a market. This paper provided an extensive discussion on the principles of data analytics for early-stage digital entrepreneurial businesses. Here, we developed data-driven decision-making (DDDM) framework that applies to startups prone to multifaceted barriers in the form of poor data access, technical and financial constraints, to state some. The startup DDDM framework proposed in this paper is novel in its form encompassing startup data analytics enablers and metrics aligning with startups' business models ranging from customer-centric product development to servitization which is the future of modern digital entrepreneurship.
	%P 122 - 127