Better Together? Signaling Interactions in New Venture Pursuit of Initial External Capital
By L. Plummer, Thomas H. Allison, Brian L. Connelly. 2016
337 citations recorded by the source corpus.
After new ventures have exhausted the limited financial resources of founders, family, and friends, they often pursue initial external capital. To secure investment, entrepreneurs can signal about ...
Subfields: Accounting, Management of Technology and Innovation
View Paper: https://www.semanticscholar.org/paper/decf3fa0a0ce123dae75da9b6c40c26ab35e2c31
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Accounting
- Oskar Colombo
- Thomas H. Allison
- Jeremy C. Short
- A. Mckenny
- Aaron H. Anglin
- Will Drover
- Romi Kher
- Regan M. Stevenson
In Management of Technology and Innovation
- Oskar Colombo
- Thomas H. Allison
- Jeremy C. Short
- A. Mckenny
- Aaron H. Anglin
- Will Drover
- Romi Kher
- Regan M. Stevenson
Citations in the corpus
- The Use of Signals in New-Venture Financing: A Review and Research Agenda (2021, background): “Meanwhile, other scholars underline the role of third-party affiliation as a critical factor that contributes to signaling effectiveness (e.g., Plummer et al., 2016).”
- What signals matter for social startups? It depends: The influence of gender role congruity on social impact accelerator selection decisions (2019, background): “, 2000), venture capitalists (e.g., Baum and Silverman, 2004; Busenitz et al., 2005; Plummer et al., 2016), and banks (e.”
- Signaling by early stage startups: US government research grants and venture capital funding (2018, background): “Entrepreneurship researchers have demonstrated that the strategies they use to cross these thresholds involve costly efforts to signal the quality of their ventures (Plummer et al., 2016; Rao, 1994; Stuart et al., 1999).”
- The power of positivity? The influence of positive psychological capital language on crowdfunding performance (2018, background): “The average marginal effects (AME) — the average change in probability for a given change in x — are particularly useful for interpreting interactions in logistic regressions as interactions between log odds or odds ratios do not lend themselves to intuitive interpretations (Plummer et al., 2016).”