Proceedings | Entrepreneurship area | Year 2016
 

Startup Knowledge Model within Technology Business Incubator: Case Evidence from a Developing Country

by Kittichai Rajchamaha; Mongkolchai Wiriyapinit; Voraphan Raungpaka; Akkharawit Kanjana-Opas
  
  the Annual Australian Business and Social Sciences Research Conference in Goldcoast, Austraila

Abstract

Startup progress is globally recognized as a vital driver to sustain economics for developing countries. A technology business incubator, TBI, is one of the devices served to topic. Previous studies have found that one of the TBI's key success factors, KSFs, to develop startups' growth is knowledge management, KM inside a TBI, particularly knowledge acquisition and transfer, KA and KT, at early-stage incubation, ESI. The aim of this paper is to understand TBI's concept at ESI and its impact in KA and KT. The aim will be gotten to explain a TBI's model and character; to analyze practices regarding KA and KT as KSFs for nursing startups; and even proposing how to apply the findings in other TBIs. Methodology is based on a qualitative research through a case study (Yin, 2003) with both abductive and explanatory methods. The case was developed at a TBI of Prince of Songkla University as a leading TBI for nurturing startups at ESI. Purposive sampling was used with drawing on delicate firm-level data collected from 3 sampling groups including 10 TBI teams, 2 experts, and 69 startups incubated between 2010 and 2016 at a TBI, Thailand. Data collections were gathered using both primary and secondary data with in-depth interview, focus group. archival document, semi-structure and unstructured surveys. Content analysis was used. Validity and reliability were concerned according to Yin (2003). A research model was created by reviewing TBI's models, prior studies, knowledge and resource-based theories to explore purposes; moreover, the model was originally referred both a TBI;s KM model (Naumov Y., 2011) and Jones TBI Process (Carter&Jones E. 2000). The Findings indicate that the most sufficient TBI model at ESI mightily relies on its aim, team, network, and expert. In addition, KM practices that take place in a TBI are related to KA and KT.