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Misaligned values in software engineering organizations
Author(s) -
Lenberg Per,
Feldt Robert,
Wallgren Tengberg Lars Göran
Publication year - 2019
Publication title -
journal of software: evolution and process
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.371
H-Index - 29
eISSN - 2047-7481
pISSN - 2047-7473
DOI - 10.1002/smr.2148
Subject(s) - agile software development , interview , software , thematic analysis , set (abstract data type) , point (geometry) , knowledge management , affect (linguistics) , value (mathematics) , software development , computer science , process management , business , qualitative research , software engineering , psychology , political science , sociology , social science , geometry , mathematics , machine learning , programming language , communication , law
The values of software organizations are crucial for achieving high performance; in particular, agile development approaches emphasize their importance. Researchers have thus far often assumed that a specific set of values, compatible with the development methodologies, must be adopted homogeneously throughout the company. It is not clear, however, to what extent such assumptions are accurate. Preliminary findings have highlighted the misalignment of values between groups as a source of problems when engineers discuss their challenges. Therefore, in this study, we examine how discrepancies in values between groups affect software companies' performance. To meet our objectives, we chose a mixed method research design. First, we collected qualitative data by interviewing fourteen ( N   =  14) employees working in four different organizations and processed it using thematic analysis. We then surveyed seven organizations ( N   =  184). Our analysis indicated that value misalignment between groups is related to organizational performance. The aligned companies were more effective, more satisfied, had higher trust, and fewer conflicts. Our efforts provide encouraging findings in a critical software engineering research area. They can help to explain why some companies are more efficient than others and, thus, point the way to interventions to address organizational challenges.

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