Mixed Methods in Venture Capital Research: An Illustrative Study and Directions for Future Work

Abstract

Professor Wright's body of research on venture capital (VC) has advanced the field and facilitated recent research on new sources of financing for start‐ups, such as crowdfunding and blockchain. In this paper, inspired by Professor Wright's pursuit of encouraging new directions in research, we first demonstrate – with an illustrative study on VC learning – that mixed methods research, which combines quantitative and qualitative data, can be helpful in VC research. We also present some possible mixed methods directions for future research. We conclude with a short and critical discussion on both methods and research practices. In doing so, we hope to stimulate scholars’ interest in these underutilized methods.

The ABC of Needs Study: A Mixed-Methods Approach for Instrument Development

“…Apart from achieving breadth and depth of information from triangulating the qualitative and quantitative results, mixed-methods approach is feasible for instrument development especially in extending constructs that are not readily available in existing instruments and developing instruments for topics and populations that have not been explored by previous researchers (Creswell, 1999). As such, a mixed-methods research is able to elicit new insights that may not be achieved through a single research approach (Levasseur et al, 2022). Moreover, this mixed-methods approach for a needs study is in line with Christofi et al (2021) who have called for methodological innovations in contemporary, offering an alternative approach for researchers to enhance the trustworthiness of their results.…”

Mapping the venture capital and private equity research: a bibliometric review and future research agenda

“…However, more case studies and field studies can be conducted to grasp the mechanisms of private equity in a more real-world environment by focusing on the companies that employ them. Recent scholarship has also shown the advantage of using mixed methods in venture capital and private equity research (Levasseur et al, 2022 ). This will be useful for both finance researchers and students seeking to gain a better understanding of the subject.…”

The New Tokenomics of Crowdfunding

“…In the same vein, Aggarwal, Hanley and Zhao (2019) and Yen, Wang and Chen (2021) examine external quality ratings, while Belitski and Boreiko (2022) interpret additional venture characteristics as quality signals. 6 For instance, Faust et al (2022) and Mansouri and Momtaz (2022) examine whitepapers using machine learning models, while Samieifar andBaur (2021), Florysiak andSchandlbauer (2022), Kasatkin (2022) and Thewissen et al (2022Thewissen et al ( , 2023) also focus on whitepaper characteristics; Roosenboom, van der Kolk and de Jong (2020) examine bonus schemes and offering duration; Amsden and Schweizer (2018) consider the ETH/USD traded price and volatility; Albrecht, Lutz and Neumann (2020) focus on the initial offering price and online search trends; Blaseg (2018), Momtaz (2020), Campino, Brochado and Rosa (2021), Guzman, Pinto-Gutierrez and Trujillo (2021) Huang, Vismara and Wei (2021), and Xu et al (2021) focus on venture team characteristics; venture CEO characteristics are examined by Momtaz (2021aMomtaz ( , 2021c and Colombo et al (2022);Fisch, Meoli and Vismara (2022) examine the choice of token offerings versus traditional financing alternatives; topics such as venture capital investor participation, venture domicile and fraudulent behaviour are examined by Giudici and Adhami (2019), An et al (2021), Hackober and Bock (2021) (similar to the topics examined for traditional venture capital finance by Capizzi, Croce andTenca, 2022 andLevasseur, Johan andEckhardt, 2022), Shrestha et al (2021), Hornuf, Kück and…”