A systematic literature review of 40 journal articles published between January 2001 and April 2024 shows the publication trend, the key publication outlets, research contexts in terms of countries, professions, technologies being examined, and methodologies being employed.
Renjie Sun, Pengji Wang, Kim-Lim Tan et al.· Group & Organization Man...· 0 citations
The implementation of innovation in organizations is a complex process, the success of which is determined not only by technological or financial factors, but also by a common understanding, employee motivation, and the ability to coordinate activities across organizational boundaries. However, in scientific literature...
Simona Ozoliņa-Ugore, Anita Straujuma· International Scientific Con...· 0 citations
The article concludes that the optimum in digital product developer teams is a brief period of equilibrium between forms of anomic behavior, achieved through the interaction of specific social conditions across macro, meso, and micro levels, all aimed at fostering autonomy, self-organization, and self-reflection.
A comparative analysis of three leading project management standards — PMBOK (United States of America), P2M (Japan) and PRINCE2 (Great Britain) — with an emphasis on their cultural characteristics is been carried out. The purpose of the study is to identify and systematize the value orientations embedded in each stand...
A. S. Zakroeva, G. P. Tamoyan, A. S. Emelianova et al.· Вестник университета· 0 citations
The main conclusion upends conventional logic: the effectiveness of hybrid teams is determined not by the level of digitalization, but by the degree of synchronization of changes.
A. Sharapov· EKONOMIKA I UPRAVLENIE: PROB...· 0 citations
Community of Practice (CoP) Facilitators are critical for supporting knowledge sharing and learning within organizations, yet the effectiveness of their activities is not well understood. Prior research has focused primarily on general task descriptions, with limited research on how facilitation is completed in practic...
Tiffany Nassirian, Giulia Tasca Zamprogna, Claudia Monti et al.· European Conference on Knowl...· 0 citations
Jennifer Neville did not want to go into computer science—but that’s exactly where she landed. Neville discusses the starts and stops that led to her professional sweet spot and her work identifying “surprising failures” making it hard for AI to handle complexity. The post What AI gets wrong and what failure teaches us appeared first on Microsoft Research.
Computer scientist, entrepreneur, and philanthropist will collaborate with the MIT Schwarzman College of Computing to advance AI and scientific discovery.
