Innovation diffusion theory suggests that consumers differ concerning the number of contacts they have and the degree and the direction to which social influences determine their choice to adopt. To test the impacts of these factors on innovation diffusion, in particular the occurrence of hits and flops, a new agent-based model for innovation diffusion is introduced. This model departs from existing percolation models by using more realistic agents (both individual preferences and social influence) and more realistic networks (scale free with cost constraints). Furthermore, it allows consumers to weight the links they have, and it allows links to be directional. In this way this agent-based model tests the effect of VIPs who can have a relatively large impact on many consumers. Results indicate that markets with high social influence are more uncertain concerning the final success of the innovation and that it is more difficult for the innovation to take off. As consumers affect each other to adopt or not at the beginning of the diffusion, the new product has more difficulties to reach the critical mass that is necessary for the product to take off. In addition, results of the simulation experiments show under which conditions highly connected agents (VIPs) determine the final diffusion of the innovation. Although hubs are present in almost any network of consumers, their roles and their effects in different markets can be very different. Using a scale-free network with a cutoff parameter for the maximum number of connections a hub can have, the simulation results show that when hubs have limits to the maximum number of connections the innovation diffusion is severely hampered, and it becomes much more uncertain. However, it is found that the effect of VIPs on the diffusion curve is often overestimated. In fact when the influence of VIPs on the decision making of the consumers is strengthened compared with the influence of normal friends, the diffusion of the innovation is not substantially facilitated. It can be concluded that the importance of VIPs resides in their capacity to inform many consumers and not in a stronger persuasive power.

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Diffusions of new products and technologies through social networks can be formalized as spreading of infectious diseases. However, while epidemiological models describe infection in terms of transmissibility, we propose a diffusion model that explicitly includes consumer decision-making affected by social influences and word-of-mouth processes. In our agent-based model consumers' probability of adoption depends on the external marketing effort and on the internal influence that each consumer perceives in his/her personal networks. Maintaining a given marketing effort and assuming its effect on the probability of adoption as linear, we can study how social processes affect diffusion dynamics and how the speed of the diffusion depends on the network structure and on consumer heterogeneity. First, we show that the speed of diffusion changes with the degree of randomness in the network. In markets with high social influence and in which consumers have a sufficiently large local network, the speed is low in regular networks, it increases in small-world networks and, contrarily to what epidemic models suggest, it becomes very low again in random networks. Second, we show that heterogeneity helps the diffusion. Ceteris paribus and varying the degree of heterogeneity in the population of agents simulation results show that the Springer 186 S. A. Delre, W. Jager et al. more heterogeneous the population, the faster the speed of the diffusion. These results can contribute to the development of marketing strategies for the launch and the dissemination of new products and technologies, especially in turbulent and fashionable markets.

Consumers frequently consume hedonic products together with other consumers and derive value from this shared experience. This article investigates the impact of shared consumption, a type of social influence that determines the enjoyment of joint experiences, in the context of a typical hedonic product: movies. The authors argue that this type of influence has important consequences for the diffusion curves of hedonic goods that are consumed together and the effectiveness of advertising in generating launch and postlaunch sales. An empirically validated agent-based model simulates the U.S. motion picture market, with new movies launching, competing, and exiting. The agent-based model serves as a means to demonstrate the essential role of shared consumption for explaining movie life cycles and tests how advertising expenditures accelerate and/or acquire movies’ demand in markets with varying levels of shared consumption. The results provide key theoretical insights for the new product diffusion of hedonic products and help managers predict the financial consequences of their strategic decisions.

This paper uses a mixed method approach to show how cross-cultural differences in social influences can explain differences in distributions of market shares in different markets. First, we develop a realistic agent-based model that mimics the behavior of movie visitors and incorporates the social influences visitors exert on each other before and after visiting movies. The simulation results indicate that market inequalities are determined by social influences. In particular, we find that the social influence derived from the intended behaviors of others (coordinated consumption effect) has a stronger effect on market inequalities than the social influence derived from the past behavior of others (imitation effect). Second, we empirically validate the simulation results by conducting a crossnational survey that makes use of the cross-cultural differences in Hofstede's collectivism-individualism index as a proxy for the level of social influence present in a market. The results of this field study, performed in China, the Netherlands, Italy, and Spain, empirically show that social influences differ across countries, and that these differences can explain the apparent differences in the dispersion of movies' market shares. The empirical survey further contributes to understanding the role of social influence by revealing a U-shaped relationship between Hofstede's collectivism-individualism index score and the degree of social influence.

In this paper we investigate the degree to which two social influences, namely imitation and coordinated consumption, effectuate inequalities in the motion picture industry. We develop an agent-based model based on micro movie visitors' decision-making that generates the observed macro market outcomes. The simulation model makes use of the findings of an empirical survey amongst 1112 cinema visitors. We find that social influences explain market inequalities and that the impact of coordinated consumption on market inequalities is stronger than the impact of imitation.

We study a parsimonious competition setting whereby two studio producers launch their movies simultaneously. They compete deciding about the positioning of their movies, as they can position close to or far from the mainstream, and investing in advertising and in quality. We study our competitive setting with an analytical model and solve it using a standard game-theoretical technique. Next, we use an agent-based model (ABM) to relax several assumptions of the analytical model and investigate more realistic market situations, such as symmetric as well as asymmetric positioning, competitions among big and/or small studios, settings with more than two competitors, and studios that use weighted and evolving decision rules. Our results explain interesting dynamics behind the scenes of the competition. They indicate the drivers of studios' behaviors and shed light on some important aspects of their strategic competition. In this sense, our results offer relevant theoretical and practical implications.

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