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RESEARCH PRODUCT

Amidst Uncertainty–or Not? : Decision-Making in Early-Stage Software Startups

Tommi MikkonenPetri KettunenEveliina VentiläKai-kristian Kemell

subject

FOS: Computer and information sciencesComputer sciencepäätöksentekoeducation02 engineering and technologyentrepreneurshipstartup-yrityksetComputer Science - Software EngineeringSoftwareEmpirical researchohjelmistoala0202 electrical engineering electronic engineering information engineeringcynefin frameworkliiketoimintaympäristöbusiness.industry020207 software engineeringdecision-makingyrittäjyys113 Computer and information sciencesin-depth case studyepävarmuusIndustrial engineeringSoftware Engineering (cs.SE)Work (electrical)020201 artificial intelligence & image processingsoftware startupsStage (hydrology)business

description

It is commonly claimed that the initial stages of any startup business are dominated by continuous, extended uncertainty, in an environment that has even been described as chaotic. Consequently, decisions are made in uncertain circumstances, so making the right decision is crucial to successful business. However, little currently exists in the way of empirical studies into this supposed uncertainty. In this paper, we study decision-making in early-stage software startups by means of a single, in-depth case study. Based on our data, we argue that software startups do not work in a chaotic environment, nor are they characterized by unique uncertainty unlike that experienced by other firms. peerReviewed

10.1007/978-3-030-33742-1_29http://hdl.handle.net/10138/310167