Journal Article10.1287/ORSC.2013.0832
The structure of competition: How competition between one's rivals influences imitative market entry
Kai Yu Hsieh,Freek Vermeulen +1 more
TL;DR: It is theorized that direct encounters between a firm’s rivals lead to a herding effect, making imitative market entry more likely, and aggressive past rivalry between the competitors dampens these expectations, producing a competition effect that makes herding less probable.
read more
Abstract: This paper investigates how the pattern of encounters between a firm’s competitors affects the firm’s inclination to follow its competitors into a new market. We theorize that direct encounters between a firm’s rivals lead to a herding effect, making imitative market entry more likely. Past mutual forbearance between a firm’s competitors (resulting from asymmetric multimarket competition) further strengthens this herding effect, by enhancing the firm’s expectations of market attractiveness. In contrast, aggressive past rivalry between the competitors (resulting from symmetric multimarket contact) dampens these expectations, producing a competition effect that makes herding less probable. We test our idea in two distinct contexts—the Chinese pharmaceutical industry and the Taiwanese computer hardware industry—and find consistent support in both settings. We discuss how our analysis of what we call the “structure of competition” can be extended to research on other forms of firm behavior.
read more
Chat with Paper
AI Agents for this Paper
Find similar papers on Google Scholar, PubMed and Arxiv
Write a critical review of this paper
Analyze citations of this paper to find unaddressed research gaps
Citations
Further Simulation Evidence on the Performance of the Poisson Pseudo-Maximum Likelihood Estimator
J. S. Silva,Silvana Tenreyro +1 more
- 01 Aug 2011
TL;DR: This study provides further simulation evidence on the performance of the Poisson pseudo-maximum likelihood estimator, examining its bias, variance, and mean squared error under various conditions, including different sample sizes and data distributions.
494
If They Can Do It, Why Not Us? Competitors as Reference Points for Justifying Escalation of Commitment
TL;DR: In this article, the authors argue that reference to certain rivals may enable or disable decision makers to justify continuing investment in an underperforming initiative, thereby influencing a firm's tendency toward escalating commitment.
111
Exchange and cohesion in dyads and triads: A test of Simmel’s hypothesis
TL;DR: Social exchange theory is used to address a classic question posed by Simmel (1964) regarding dyad-triad dynamics and the theory of relational cohesion, and reveals more convergence of behavior and higher cohesion in triads than in dyads.
81
References
Structural Holes: The Social Structure of Competition.
Steven B. Andrews,Ronald S. Burt +1 more
TL;DR: In this article, structural holes are defined as network gaps between players which create entrepreneurial opportunities for information access, timing, referrals, and for control, and the structural holes also generate control benefits giving certain players an advantage in negotiating their relationships.
12.6K
•Book
Structural Holes: The Social Structure of Competition
Ronald S. Burt
- 01 Jan 1992
TL;DR: In this paper, the Tertius Gaudens Entrepreneurs Secondary Holes Structural Autonomy (SSA) model is used to control the number of holes in a network.
10.6K
The Diffusion of Innovations
Jade Coston,Everett M. Rogers +1 more
- 01 Jan 2006
TL;DR: Diffusion is the process by which an innovation is communicated through certain channels over time among the members of a social system by concerned with the spread of messages that are perceived as new ideal.
9.2K
A Simple Model of Herd Behavior
TL;DR: In this article, the authors analyze a sequential decision model in which each decision maker looks at the decisions made by previous decision makers in taking her own decision, and they show that the decision rules that are chosen by optimizing individuals will be characterized by herd behavior.