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Entrepreneurial Bricolage and New Product Development Performance in New Ventures: The Contingent Effects of Founding Team Involvement

  • Xinchun Wang , Xiaoyu Yu EMAIL logo and Xiaotong Meng
Published/Copyright: June 28, 2021

Abstract

New product development (NPD) performance is a key determinant of a new venture’s success. However, compared with established firms, new ventures often suffer from resource constraints when developing new products. Entrepreneurial bricolage is reported in the literature as an alternative strategic option that enables managers to overcome resource constraints when developing new products. However, because new ventures are often founded by an entrepreneurial team, the effectiveness and efficiency of using bricolage to improve NPD performance might be contingent on how the founding team plays its roles in this process. Using data from 323 new ventures in China, we find support for the critical role of entrepreneurial bricolage in improving NPD success under resource constraints. More importantly, our results reveal that the bricolage strategy is more likely to benefit a venture when the founding team is composed of members with diverse functional backgrounds and is not heavily involved in strategic decision-making.


Corresponding author: Xiaoyu Yu, School of Management, Shanghai University, 200444, Shanghai, China, E-mail:

Funding source: Natural Science Foundation of China

Award Identifier / Grant number: 71772117

Award Identifier / Grant number: 71972126

Funding source: Innovation Program of Shanghai Municipal Education Commission

Award Identifier / Grant number: 2019-01-07-00-09-E00078

Funding source: The National Key Research and Development Program

Award Identifier / Grant number: No. 2020YFB1708200

  1. Research funding: This research was funded by Natural Science Foundation of China (grant nos. 71772117 and 71972126), Innovation Program of Shanghai Municipal Education Commission (grant no. 2019-01-07-00-09-E00078) and The National Key Research and Development Program (grant no. 2020YFB1708200).

Appendix A: Sample profile (N = 323)

Characteristics Frequency Per cent (%)
Manager age (years) 29 or younger 71 22.0
30–39 208 64.4
40–49 39 12.1
50 or older 5 1.5
Gender Male 256 79.3
Female 67 20.7
Education Lower than Bachelor’s degree 59 18.3
Bachelor’s degree 192 59.4
Master’s degree 66 20.4
PhD 6 1.9
Industry Electronic information 64 19.8
Computer Services and Software 51 15.8
Equipment manufacturing 32 9.9
Others 176 54.5
Ownership Private firm 261 80.8
Joint firm 24 7.4
Foreign firm 25 7.7
State-owned enterprise 13 4.1
Firm age (years) 0–2 50 15.5
3–5 93 28.8
6–8 180 55.7
Firm size (employees) 1–50 209 64.7
50–100 24 7.4
101–200 24 7.4
200 or above 66 20.5

Appendix B: Measurement items and validity assessment

Items Factor loading
New product development performance (Atuahene-Gima and Li 2004) (CR = 0.94, AVE = 0.79)
Compared to our major competitors, this new product has helped us achieve better performance in:
  1. Sales growth

0.904
  1. Market share growth

0.908
  1. Profit growth

0.866
  1. Return on investment

0.871
Entrepreneurial bricolage (Senyard, Baker, and Davidsson 2009) (CR = 0.92, AVE = 0.61)
  1. When faced with new challenges, we are confident in our ability to use existing resources to find workable solutions.

0.827
  1. We can take more challenges with our existing resources than our competitors.

0.759
  1. We can effectively use existing resources to handle new problems or opportunities.

0.778
  1. We can face new challenges by combining existing resources and other resources available at a lower cost.

0.792
  1. When faced with new problems, we usually assume that we can find solutions and take action accordingly.

0.757
  1. By recombining our existing resources, we can handle multiple new challenges.

0.823
  1. When faced with new challenges, we can use existing resources to achieve viable solutions.

0.808
  1. We can combine existing resources originally planned for other purposes to meet new challenges.

0.675
Team functional diversity (Heyden et al. 2013) (CR = 0.94, AVE = 0.83)
  1. The members of the founding team have divergent areas of expertise.

0.918
  1. The founding team members have a great variety of backgrounds.

0.935
  1. The founding team is composed of members with diverse experiences.

0.886
Team participation in decision-making (Campion, Medsker, and Higgs 1993) (CR = 0.92, AVE = 0.80)
  1. The founding team members have a real say in how the team carries out its work.

0.919
  1. The founding team members get a chance to participate in decision-making.

0.905
  1. The founding team is designed to let everyone participate in decision-making.

0.862
Demand uncertainty (Atuahene-Gima and Li 2004) (CR = 0.87, AVE = 0.70)
  1. Customer demand and product preferences change quite rapidly.

0.814
  1. Customers tend to look for new products all the time.

0.876
  1. We witness demand for our products from customers who had never bought from us before.

0.814
Technology turbulence (Atuahene-Gima and Li 2004) (CR = 0.94, AVE = 0.80)
  1. In our industry, technology is changing quite rapidly.

0.847
  1. In our industry, technological changes can create big opportunities.

0.917
  1. In our industry, technological breakthroughs have turned many new ideas into real products.

0.918
  1. In our industry, technology has been greatly developed and improved.

0.896
Risk propensity (Sitkin and Weingart 1995) (CR = 0.88, AVE = 0.70)
To achieve NPD success, I may choose risky strategic options even if faced with the following conditions:
  1. This risky strategy may not align with our original strategic goals.

0.789
  1. This strategy may have the potential to backfire.

0.925
  1. The information related to this strategy is not comprehensive enough.

0.793
  1. CA, Cronbach’s alpha; CR, composite reliability; AVE, average variance extracted.

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Received: 2020-10-20
Accepted: 2021-05-29
Published Online: 2021-06-28

© 2021 Walter de Gruyter GmbH, Berlin/Boston

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