Results 141 to 150 of about 16,843,744 (242)
Creation of Business Incubators in University Through the Perspective of Business Law
One of the most important ways to promote innovation and entrepreneurship in higher education is to incorporate business incubators. However, there are other legal considerations related to the development and administration of these incubators ...
Sekamdo, Muhammad Aga +2 more
core +1 more source
How Brazilian Public Universities Are Operationalizing The SDGs: Strategic Plans Analysis
ABSTRACT Despite the importance of universities for Sustainable Development, only a handful of studies have evaluated the implementation levels of SDGs in HEIs in Latin America. To fill this void, this study examines the strategic plans of 70 Brazilian public universities, which account for 92.8% of Federal Universities.
Carolina Grano +6 more
wiley +1 more source
What entrepreneurial decisions enable the breeding of digital platform unicorns?
Abstract Research Summary Digital platforms have revolutionized business sectors; however, despite their significant success, platform unicorns remain rare. While extensive research exists on digital platform growth, it is uncertain what entrepreneurial decisions achieve unicorn status.
Sea Matilda Bez +3 more
wiley +1 more source
Integrating multimodal data and machine learning for entrepreneurship research
Abstract Research Summary Extant research in neuroscience suggests that human perception is multimodal in nature—we model the world integrating diverse data sources such as sound, images, taste, and smell. Working in a dynamic environment, entrepreneurs are expected to draw on multimodal inputs in their decision making.
Yash Raj Shrestha, Vivianna Fang He
wiley +1 more source
Why theory matters for causal inference? Rethinking endogeneity in entrepreneurship research
Abstract Endogeneity in entrepreneurship research is often treated as a statistical complication addressable through advanced econometric tools. This commentary argues that such an approach overlooks a deeper issue: endogeneity is conceptual before it is statistical.
Daniel Tzabbar
wiley +1 more source
Abstract Research Summary In this manuscript, we argue that the Entrepreneurs‐as‐Scientists (E‐a‐S) research program requires a fundamental shift from predominantly conceptual development toward an empirical agenda to achieve its normative goal: developing a scalable algorithm that improves entrepreneurial learning and value creation.
Arnaldo Camuffo +2 more
wiley +1 more source
Abstract Research Summary Prior studies have often conceptualized entrepreneurial experimentation as an activity over which founders exert a high amount of discretion in decision‐making. However, the locus of control over experimentation programs is dynamic, shifting with varying external stakeholder influence and venture growth. This paper proposes an
Hyeonsuh Lee +2 more
wiley +1 more source
Decomposing venture evaluation: Learning about belief formation
Abstract Research Summary Evaluating early‐stage ventures is difficult because observable signals of future quality are weak and noisy. How closely are evaluators' assessments related to venture quality, and do their subjective judgments add to the information already available about a venture?
Thomas Åstebro +2 more
wiley +1 more source
Framing the unknowable: The role of language and frame multiplicity in early‐stage startup pitches
Abstract Research Summary Early‐stage startup pitches must make largely unknowable futures plausible. As such, they bear a rhetorical burden. This study theorizes how multiple frames jointly shape this burden and, consequently, affect investor evaluations. Specifically, it considers how future growth frames interact with concreteness and novelty frames.
Ann‐Sophie Kowalewski
wiley +1 more source
When machines learn with organizations: AI‐enabled knowledge creation and entrepreneurship
Abstract Research Summary To promote entrepreneurship and new business development, firms will increasingly rely on new forms of knowledge creation to manage environments marked by technological change and radical uncertainty. We argue that as generative artificial intelligence (Gen‐AI) becomes embedded in organizational processes, knowledge creation ...
Linhui Wu, Shaker A. Zahra, Niron Hashai
wiley +1 more source

