What's the value of being different when everyone is? The effects of distinctiveness on performance in homogeneous versus heterogeneous categories
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DOI: 10.1002/smj.2978
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Cited by:
- Jaeho Choi & Anoop Menon & Haris Tabakovic, 2021. "Using machine learning to revisit the diversification–performance relationship," Strategic Management Journal, Wiley Blackwell, vol. 42(9), pages 1632-1661, September.
- Karl Taeuscher & Hannes Rothe, 2021. "Optimal distinctiveness in platform markets: Leveraging complementors as legitimacy buffers," Strategic Management Journal, Wiley Blackwell, vol. 42(2), pages 435-461, February.
- Vossen, Alexander & Ihl, Christoph, 2020. "More than words! How narrative anchoring and enrichment help to balance differentiation and conformity of entrepreneurial products," Journal of Business Venturing, Elsevier, vol. 35(6).
- Xu, Jin & Peng, Biyu & Cornelissen, Joep, 2021. "Modelling the network economy: A population ecology perspective on network dynamics," Technovation, Elsevier, vol. 102(C).
- Yung-Shuan Chen & Han-Sheng Lei & Wei-Che Hsu, 2019. "A Study on the Sustainable Development Strategy of Firms: Niche and Social Network Theory," Sustainability, MDPI, vol. 11(9), pages 1-25, May.
- Williamson, Amanda J. & Short, Jeremy C. & Wolfe, Marcus T., 2021. "Standing out in crowdfunded microfinance: A topic modeling approach examining campaign distinctiveness and prosocial performance," Journal of Business Venturing Insights, Elsevier, vol. 16(C).
- Dharmani, Pranav & Das, Satyasiba & Prashar, Sanjeev, 2021. "A bibliometric analysis of creative industries: Current trends and future directions," Journal of Business Research, Elsevier, vol. 135(C), pages 252-267.
- Buhr, Helena & Funk, Russell J. & Owen-Smith, Jason, 2021. "The authenticity premium: Balancing conformity and innovation in high technology industries," Research Policy, Elsevier, vol. 50(1).
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