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Knowledge‐related challenges and solutions in GSD
Author(s) -
Parviainen Päivi,
Tihinen Maarit
Publication year - 2014
Publication title -
expert systems
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.365
H-Index - 38
eISSN - 1468-0394
pISSN - 0266-4720
DOI - 10.1111/exsy.608
Subject(s) - bridging (networking) , computer science , perspective (graphical) , knowledge management , knowledge transfer , order (exchange) , cognition , work (physics) , process management , risk analysis (engineering) , business , psychology , computer security , engineering , mechanical engineering , finance , artificial intelligence , neuroscience
A number knowledge‐related challenges may complicate the work in global software development (GSD) projects. In practice, even a small amount of missing knowledge may cause an activity to fail to create and transfer information which is critical to later functions, causing these later functions to fail. Thus, knowledge engineering holds a central role in order to succeed with globally distributed product development. Furthermore, examining the challenges faced in GSD from a cognitive perspective will help to find solutions that take into account the knowledge needs of different stakeholders in GSD and thus help to establish conditions for successful GSD projects. In this paper, we will discuss these challenges and solutions based on an extensive literature study and practical experience gained in several international projects over the last decade. Altogether, over 50 case studies were analysed. We analysed the challenges identified in the cases from a cognitive perspective for bridging and avoiding the knowledge gaps and, based on this analysis, we will present example solutions to address the challenges during the GSD projects. We will conclude that through understanding both the nature of GSD and the KE challenges in depth, it will be possible for organizations to make their distributed operations successful.