Abstract
Research summary: Competitors' experiences of prior
interactions shape patterns of rivalry over time.
However, mechanisms that influence learning from
competitive experience remain largely unexamined. We
develop a computational model of dyadic rivalry to
examine how time delays in competitors' feedback
influence their learning. Time delays are inevitable
because the process of executing competitive moves takes
time, and the market's responses unfold gradually. We
analyze how these lags impact learning and, subsequently,
firms' competitive behavior, industry profits, and
performance heterogeneity. In line with the extant
learning literature, our findings reveal that time delays
hinder learning from experience. However, this
counterintuitively increases rivals' profits by reducing
their investments in costly head-to-head competition.
Time delays also engender performance heterogeneity by
causing rivals' paths of competitive behavior to diverge.
Managerial summary: While competitive actions such as new
product launches, geographical expansion, and marketing
campaigns require up-front resource commitments, the
potential lift in profits takes time to materialize. This
time delay, combined with uncertainty surrounding the
outcomes of competitive actions, makes it difficult for
managers to learn reliably from previous investment
decisions. This results in systematic underinvestment in
competitive actions. The severity of the underinvestment
grows as the time delay between an investment and its
positive results increases. Counterintuitively, however,
competitors' collective underinvestment increases
profit-making opportunities. In industries with large
time delays, companies that do invest in competitive
actions are likely to enjoy high returns on investment.
It is also likely that rivals' paths of competitive
behavior bifurcate. Together, these mechanisms generate
large differences in competitors' profits
| Original language | English |
|---|---|
| Pages (from-to) | 506-525 |
| Journal | Strategic Management Journal |
| Volume | 38 |
| Issue number | 3 |
| DOIs | |
| Publication status | Published - 1 Mar 2017 |
| MoE publication type | A1 Journal article-refereed |
Funding
Jukka Luoma wishes to acknowledge the financial support of the Finnish Funding Agency for Innovation, Finnish Foundation for Economic Education, Fulbright Center Finland, HSE Foundation, Jenny and Antti Wihuri Foundation and KAUTE Foundation. Professor King's research was funded by the Ray Hunt Faculty Fellowship Fund at the McIntire School of Commerce.
Keywords
- competitive dynamics
- time delays
- performance heterogeneity
- behavioral strategy
- reinforcement learning
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