Results 271 to 280 of about 333,308 (336)
Some of the next articles are maybe not open access.
, 2021
The resource-based view (RBV) provides a rich framework for analyzing the role of a firm’s tangible and intangible resources in creating and sustaining competitive advantage.
S. Zahra
semanticscholar +1 more source
The resource-based view (RBV) provides a rich framework for analyzing the role of a firm’s tangible and intangible resources in creating and sustaining competitive advantage.
S. Zahra
semanticscholar +1 more source
Catalyzer: Sub-millisecond Startup for Serverless Computing with Initialization-less Booting
International Conference on Architectural Support for Programming Languages and Operating Systems, 2020Serverless computing promises cost-efficiency and elasticity for high-productive software development. To achieve this, the serverless sandbox system must address two challenges: strong isolation between function instances, and low startup latency to ...
Dong Du +7 more
semanticscholar +1 more source
Harnessing The Power of Random Forest in Predicting Startup Partnership Success
International Conference on Intelligent Computing, 2023Startups are an important element in innovation and economic growth. However, startup failure is very high, so investors, governments, and startups need to predict startup success. This research develops a startup success prediction model based on random
Chandra Lukita +5 more
semanticscholar +1 more source
The design of startup accelerators
Research Policy, 2019Susan Lee Cohen, Daniel Colin Fehder
exaly +2 more sources
Strategic Management Journal, 2021
Abstract Research Summary Can accelerators pick the most promising startup ideas no matter their provenance? Using unique data from a global accelerator where judges are randomly assigned to evaluate startups headquartered across the globe, we show that judges are less likely to recommend ...
Nataliya Langburd Wright +2 more
openaire +1 more source
Abstract Research Summary Can accelerators pick the most promising startup ideas no matter their provenance? Using unique data from a global accelerator where judges are randomly assigned to evaluate startups headquartered across the globe, we show that judges are less likely to recommend ...
Nataliya Langburd Wright +2 more
openaire +1 more source
Artificial Intelligence Based on Recommendation System for Startup Matchmaking Platform
International Conference on Communications and Information Technology, 2022Artificial intelligence platform-based software is currently required and recommended for education and have innovation used to develop, implement, and evaluate the process of an activity.
Ninda Lutfiani +4 more
semanticscholar +1 more source
IEEE transactions on power electronics, 2022
Interior permanent magnet synchronous motor (IPMSM) with back electromotive-force (EMF) based sensorless field-oriented control (FOC) is widely used in medium-high speed applications.
Zhihao Song, W. Yao, Kevin Lee, Wuhua Li
semanticscholar +1 more source
Interior permanent magnet synchronous motor (IPMSM) with back electromotive-force (EMF) based sensorless field-oriented control (FOC) is widely used in medium-high speed applications.
Zhihao Song, W. Yao, Kevin Lee, Wuhua Li
semanticscholar +1 more source
The lean startup method: Early‐stage teams and hypothesis‐based probing of business ideas
Strategic Entrepreneurship Journal, 2020Funding information Comisión Nacional de Investigación Científica y Tecnológica, Grant/Award Number: NS130028; Fondo de Fomento al Desarrollo Científico y Tecnológico, Grant/Award Number: 11170537; National Science Foundation, Grant/Award Number: 1305078
Michael Leatherbee, R. Katila
semanticscholar +1 more source
Journal of Computer Science and Technology Application
In the dynamic realm of startup ecosystems, forecasting trends and measuring success pose significant challenges. To tackle this multifaceted issue, a novel research method proposes integrating the Technology Acceptance Model (TAM) with the robust Random
Daniel Bennet +4 more
semanticscholar +1 more source
In the dynamic realm of startup ecosystems, forecasting trends and measuring success pose significant challenges. To tackle this multifaceted issue, a novel research method proposes integrating the Technology Acceptance Model (TAM) with the robust Random
Daniel Bennet +4 more
semanticscholar +1 more source

