First in, First out? The Effects of Network Externalities on Pioneer Survival
By R. Srinivasan, Gary L. Lilien, Arvind Rangaswamy. 2004
246 citations recorded by the source corpus.
Subfields: Economics and Econometrics, Management Science and Operations Research, Strategy and Management
View Paper: https://www.semanticscholar.org/paper/acaeabeacba80c286e0db3a90f651d0b1591b905
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Economics and Econometrics
- Eitan Muller
- Jacob Goldenberg
- Barak Libai
- Peter T. Gianiodis
- Ferran Giones
- Miles A. Zachary
- G. Tyge Payne
- Feng Zhu
In Management Science and Operations Research
- Eitan Muller
- Barak Libai
- Jacob Goldenberg
- Miles A. Zachary
- G. Tyge Payne
- Peter T. Gianiodis
- Gideon D. Markman
- Ferran Giones
In Strategy and Management
- Peter T. Gianiodis
- Eitan Muller
- Gideon D. Markman
- Jinhong Xie
- Miles A. Zachary
- G. Tyge Payne
- Feng Zhu
- Jacob Goldenberg
Citations in the corpus
- Product Strategy for Innovators in Markets with Network Effects (2004, background): “1997), knowledge management (Ofek and Sarvary 2001), success of high-tech products (Yin 2001), advertising strategy in the presence of standards competition (Chakravarti and Xie 2004), asymmetric network effects (Shankar and Bayus 2003), cross-market network effects (Chen and Xie 2003), and effect o”
- The chilling effects of network externalities (2010, background): “This effect may contribute to high failure rates for pioneers in network markets (Srinivasan et al., 2004) and should be taken into account when considering pioneering advantages as well as when planning market strategies in the presence of network externalities.”
- Entry Timing (2015, methodology): “…the efficacy of entry-timing strategies more often rely on archival data and various regression techniques (e.g., Y. Chen & Xie, 2007), conjoint analyses (e.g., Carpenter & Nakamoto, 1989), survival analyses (e.g., Srinivasan et al., 2004), or mathematical modeling (e.g., Bayus et al., 1997, 2001).”
- Entry into Platform-Based Markets (2012, background): “Srinivasan et al. (2004) find that network effects actually have a negative influence on pioneers’ survival duration.”
- Platform Competition: A Systematic and Interdisciplinary Review of the Literature (2020, unknown): “Notably, the majority of these studies are in marketing (i.e., R. Srinivasan, Lilien & Rangaswamy, 2004; Stremersch, Tellis, Hans, Franses, & Binken, 2007; Tellis, Yin, & Niraj, 2009; Wang, Chen, & Xie, 2010; Wang & Xie, 2011), while only one such study was published in the field of management and…”
- Cross-Market Network Effect with Asymmetric Customer Loyalty: Implications for Competitive Advantage (2007, background): “The Shankar and Bayus (2003), Basu et al. (2003), Srinivasan et al. (2004), Sun et al. (2004), Harikesh et al. (2004), Chakravarti and Xie (2006), and Wang and Xie (2006). loyalty difference can stem from a variety of sources or factors.”
- Business model innovation and third-party alliance on the survival of new firms (2015, background): “On the other hand, studies have shown that firms that adopt radical innovation are more likely to survive because of higher returns from adoption as a result of gaining a larger market share (see Langerak et al., 2009; Sinha and Noble, 2008; Srinivasan et al., 2004).”
- Digital Technology Entrepreneurship: A Definition and Research Agenda (2017, background): “…interconnected system when they aim to commercialize their solutions; it is a context where platforms and network effects matter (Kypri-anou, 2016; Srinivasan et al., 2004) and standards or dominant designs (Brem et al., 2016) Further research could also study the co-evolution between digital…”
- Consumer Adoption of New Products: Independent versus Interdependent Self-Perspectives (2014, background): “For example, it may be worthwhile to examine whether the effect of self-construal can be moderated by network externalities, namely the extent to which the utility of a product increases as the number of users increases (Srinivasan, Lilien, and Rangaswamy 2004).”