Effective Knowledge Governance at Technology Business Incubators: A Process View

2026

Closed access Metadata (CSL-JSON)
DOI 10.1142/s0219649226500061
Data confidence 70 medium
How this score is calculated

It is built from checkable properties of the record itself: whether the article has a DOI, how many independent sources confirmed its data, whether the required fields are filled in, and how recent the latest confirmation is. Disagreement between sources and a missing identifier lower it. A value of 80 or above means the record was published without further checking; 60 to 79 means it is published at reduced confidence, with a manual check advisable. A record verified by an editor by hand is never pushed below 90 by a recalculation. This scores our data about the article, not the article itself.

Abstract

Business incubators have been adopted as a driver of “startups” growth. As a platform to learn from diverse stakeholders, the effectiveness of business incubators critically depends upon their ability to enable knowledge creation and transfer. However, little is known about the governance of knowledge processes that lead to effective knowledge transfer from experts and practitioners to startups. This paper investigates micro-level processes of knowledge governance at a decade-old technology business incubator (TBI) in India. Adopting the nested case-analysis approach, this paper applies process tracing using in-depth interviews of key stakeholders. Building on transaction cost, social exchange and knowledge transfer theory, a framework of effective knowledge governance is proposed. This paper argues that an effective alignment between the nature of knowledge transactions, governance needs and governance mechanisms is crucial. This alignment process continues dynamically. Non-alignment leads to knowledge hazards and, consequently, results in poor performance of startups.