scispace - formally typeset
Open AccessJournal ArticleDOI

消費者コミュニケーション空間の多重化を考慮したプレゼント戦略の効果;消費者コミュニケーション空間の多重化を考慮したプレゼント戦略の効果;The Effect of the Present Strategy Considering the Multiplexing of Consumer Communication Space

Reads0
Chats0
TLDR
Effectiveness of present strategy in the multiplexing communication space is analyzed by using agent multi-agent simulation because present strategy has a risk of loss of profit declines.
Abstract
The rapid spread of information and communication technology induces multiplexing of our communication space in recent years. As a result, diffusions of products in the market are changing because the communication affects our behaviors and states of own mind. It has been known that markets of products having ”network externality” are greatly influenced by this change. Network externality is an effect that value of the product is increased by having many people. Strategy selling products that has network externality is important for some companies in competition among other companies. A solution to this problem is ”present strategy”. Because company using present strategy diffuse products in the market, this strategy is an effective marketing activity. But it is necessary to verify the effectiveness of present strategy in the multiplexing communication space because present strategy has a risk of loss of profit declines. In this paper, we analyze effectiveness of present strategy in the multiplexing communication space by using agent multi-agent simulation.

read more

References
More filters
Journal ArticleDOI

Collective dynamics of small-world networks

TL;DR: Simple models of networks that can be tuned through this middle ground: regular networks ‘rewired’ to introduce increasing amounts of disorder are explored, finding that these systems can be highly clustered, like regular lattices, yet have small characteristic path lengths, like random graphs.
Proceedings ArticleDOI

An individual view on cooperation networks

TL;DR: A systematic equilibrium analysis using computer-based simulations reveals principal solution scenarios for network agents and shows that network cooperation problems might frequently be not as difficult to resolve as often feared.