The objective of this study is to investigate how major companies develop innovation projects in partnership with startups through the lens of corporate–startup engagement (CSE). The research aims to analyze the motivations, engagement models and internal validation processes for these partnerships, with a particul...
A. Ghobril· Academia : Revista Latinoame...· 0 citations
Working together with startups is common practice in an increasing number of corporate business environments, especially when the goal of innovation takes center stage. Our research objective is to provide empirical results on the relationship between corporate-startup collaborations and innovation success, and how man...
Anna K. Meyer, Vincent Göttel, Barbara E. Weißenberger· Journal of Innovation Manage...· 0 citations
Purpose: The main objective of the paper is to explore how different types of innovations contribute to ESG performance in companies. The study aims to distinguish the specific effects of technological and organizational innovations on environmental, social, and governance dimensions, thereby clarifying their role in s...
Biljana Popović, N. Radivojević, Aleksandar Popović· Anali Ekonomskog fakulteta u...· 0 citations
Purpose: The purpose of this exploratory research case study is to analyze Blue Dart Express Ltd. from the perspective of technological innovations, operational excellence, and strategic competitiveness in the logistics and supply chain industry. The study aims to evaluate the company's technology-driven business pract...
Jash U., C. Nidhi, P. N. et al.· Poornaprajna International J...· 0 citations
This thesis analyzes studies focusing on the use of Industry 4.0 technologies to enhance supply chain resilience in the automotive sector, which is of critical importance in the face of contemporary crises such as the microchip shortage and the COVID-19 pandemic. It examines how technological solutions mitigate logisti...
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.
Microsoft Research Blog· microsoft.comOct 21, 2026
For decades, a fundamental question about the difficulty of computing in high-dimensional spaces has resisted proof. New research resolves this question, removing a major theoretical obstacle to understanding the efficiency of randomized algorithms used across science and computing. The Kannan–Lovász–Simonovits (KLS) conjecture was proposed in 1995. It asks whether, for a broad class of high-dimensional […] The post Solving a 31-year-old grand challenge in mathematics – the KLS conjecture appear…
Computer scientist, entrepreneur, and philanthropist will collaborate with the MIT Schwarzman College of Computing to advance AI and scientific discovery.
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