The Experts below are selected from a list of 10305 Experts worldwide ranked by ideXlab platform
Shoujian Zhang - One of the best experts on this subject based on the ideXlab platform.
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understanding the Social Contagion effect of safety violations within a construction crew a hybrid approach using system dynamics and agent based modeling
International Journal of Environmental Research and Public Health, 2018Co-Authors: Huakang Liang, Kenyu Lin, Shoujian ZhangAbstract:Previous research has recognized the importance of eliminating safety violations in the context of a Social group. However, the Social Contagion effect of safety violations within a construction crew has not been sufficiently understood. To address this deficiency, this research aims to develop a hybrid simulation approach to look into the cognitive, Social, and organizational aspects that can determine the Social Contagion effect of safety violations within a construction crew. The hybrid approach integrates System Dynamics (SD) and Agent-based Modeling (ABM) to better represent the real world. Our findings show that different interventions should be employed for different work environments. Specifically, Social interactions play a critical role at the modest hazard levels because workers in this situation may encounter more ambiguity or uncertainty. Interventions related to decreasing the Contagion probability and the safety⁻productivity tradeoff should be given priority. For the low hazard situation, highly intensive management strategies are required before the occurrence of injuries or accidents. In contrast, for the high hazard situation, highly intensive proactive safety strategies should be supplemented by other interventions (e.g., a high safety goal) to further control safety violations. Therefore, this research provides a practical framework to examine how specific accident prevention measures, which interact with workers or environmental characteristics (i.e., the hazard level), can influence the Social Contagion effect of safety violations.
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the impact of coworkers safety violations on an individual worker a Social Contagion effect within the construction crew
International Journal of Environmental Research and Public Health, 2018Co-Authors: Huakang Liang, Kenyu Lin, Shoujian ZhangAbstract:This research developed and tested a model of the Social Contagion effect of coworkers’ safety violations on individual workers within construction crews. Both situational and routine safety violations were considered in this model. Empirical data were collected from 345 construction workers in China using a detailed questionnaire. The results showed that both types of safety violations made by coworkers were significantly related to individuals’ perceived Social support and production pressure. Individuals’ attitudinal ambivalence toward safety compliance mediated the relationships between perceived Social support and production pressure and both types of individuals’ safety violations. However, safety motivation only mediated the effects of perceived Social support and production pressure on individuals’ situational safety violations. Further, this research supported the differences between situational and routine safety violations. Specifically, we found that individuals were more likely to imitate coworkers’ routine safety violations than their situational safety violations. Coworkers’ situational safety violations had an indirect effect on individuals’ situational safety violations mainly through perceived Social support and safety motivation. By contrast, coworkers’ routine safety violations had an indirect effect on individuals’ routine safety violations mainly through perceived production pressure and attitudinal ambivalence. Finally, the theoretical and practical implications, research limitations, and future directions were discussed.
Vito Latora - One of the best experts on this subject based on the ideXlab platform.
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Simplicial models of Social Contagion
Nature Communications, 2019Co-Authors: Iacopo Iacopini, Giovanni Petri, Alain Barrat, Vito LatoraAbstract:Complex networks have been successfully used to describe the spread of diseases in populations of interacting individuals. Conversely, pairwise interactions are often not enough to characterize Social Contagion processes such as opinion formation or the adoption of novelties, where complex mechanisms of influence and reinforcement are at work. Here we introduce a higher-order model of Social Contagion in which a Social system is represented by a simplicial complex and Contagion can occur through interactions in groups of different sizes. Numerical simulations of the model on both empirical and synthetic simplicial complexes highlight the emergence of novel phenomena such as a discontinuous transition induced by higher-order interactions. We show analytically that the transition is discontinuous and that a bistable region appears where healthy and endemic states co-exist. Our results help explain why critical masses are required to initiate Social changes and contribute to the understanding of higher-order interactions in complex systems.Social Contagion cannot only be understood in terms of pairwise interactions among individuals. Here, the authors include higher-order Social interactions, the effects of groups, in their model of Social Contagion, enabling insight into why critical masses are required to initiate Social changes.
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Simplicial models of Social Contagion
Nature Communications, 2019Co-Authors: Iacopo Iacopini, Giovanni Petri, Alain Barrat, Vito LatoraAbstract:Complex networks have been successfully used to describe the spread of diseases in populations of interacting individuals. Conversely, pairwise interactions are often not enough to characterize Social Contagion processes such as opinion formation or the adoption of novelties, where complex mechanisms of influence and reinforcement are at work. Here we introduce a higher-order model of Social Contagion in which a Social system is represented by a simplicial complex and Contagion can occur through interactions in groups of different sizes. Numerical simulations of the model on both empirical and synthetic simplicial complexes highlight the emergence of novel phenomena such as a discontinuous transition induced by higher-order interactions. We show analytically that the transition is discontinuous and that a bistable region appears where healthy and endemic states co-exist. Our results help explain why critical masses are required to initiate Social changes and contribute to the understanding of higher-order interactions in complex systems.
D Walker - One of the best experts on this subject based on the ideXlab platform.
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creating Social Contagion through viral product design a randomized trial of peer influence in networks
Management Science, 2011Co-Authors: Sinan Aral, D WalkerAbstract:We examine how firms can create word-of-mouth peer influence and Social Contagion by designing viral features into their products and marketing campaigns. To econometrically identify the effectiveness of different viral features in creating Social Contagion, we designed and conducted a randomized field experiment involving the 1.4 million friends of 9,687 experimental users on Facebook.com. We find that viral features generate econometrically identifiable peer influence and Social Contagion effects. More surprisingly, we find that passive-broadcast viral features generate a 246% increase in peer influence and Social Contagion, whereas adding active-personalized viral features generate only an additional 98% increase. Although active-personalized viral messages are more effective in encouraging adoption per message and are correlated with more user engagement and sustained product use, passive-broadcast messaging is used more often, generating more total peer adoption in the network. Our work provides a model for how randomized trials can identify peer influence in Social networks. This paper was accepted by Pradeep Chintagunta and Preyas Desai, special issue editors. This paper was accepted by Pradeep Chintagunta and Preyas Desai, special issue editors.
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Creating Social Contagion Through Viral Product Design: A Randomized Trial of Peer Influence in Networks
SSRN Electronic Journal, 2010Co-Authors: Sinan Aral, D WalkerAbstract:We examine how firms can create word-of-mouth peer influence and Social Contagion by designing viral features into their products and marketing campaigns. Word-of-mouth (WOM) is generally considered to be more effective at promoting product Contagion when it is personalized and active. Unfortunately, the relative effectiveness of different viral features has not been quantified, nor has their effectiveness been definitively established, largely because of difficulties surrounding econometric identification of endogenous peer effects. We therefore designed a randomized field experiment on a popular Social networking website to test the effectiveness of a range of viral messaging capabilities in creating peer influence and Social Contagion among the 1.4 million friends of 9,687 experimental users. Overall, we find that viral product design features can indeed generate econometrically identifiable peer influence and Social Contagion effects. More surprisingly, we find that passive-broadcast viral messaging generates a 246% increase in local peer influence and Social Contagion effects, while adding active-personalized viral messaging only generates an additional 98% increase in Contagion. Although active-personalized messaging is more effective in encouraging adoption per message and is correlated with more user engagement and sustained product use, passive-broadcast messaging is used more often enough to eclipse those benefits, generating more total peer adoption in the network. In addition to estimating the effects of viral product design on Social Contagion and product diffusion, our work also provides a model for how randomized trials can be used to identify peer influence effects in networks.
Sinan Aral - One of the best experts on this subject based on the ideXlab platform.
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creating Social Contagion through viral product design a randomized trial of peer influence in networks
Management Science, 2011Co-Authors: Sinan Aral, D WalkerAbstract:We examine how firms can create word-of-mouth peer influence and Social Contagion by designing viral features into their products and marketing campaigns. To econometrically identify the effectiveness of different viral features in creating Social Contagion, we designed and conducted a randomized field experiment involving the 1.4 million friends of 9,687 experimental users on Facebook.com. We find that viral features generate econometrically identifiable peer influence and Social Contagion effects. More surprisingly, we find that passive-broadcast viral features generate a 246% increase in peer influence and Social Contagion, whereas adding active-personalized viral features generate only an additional 98% increase. Although active-personalized viral messages are more effective in encouraging adoption per message and are correlated with more user engagement and sustained product use, passive-broadcast messaging is used more often, generating more total peer adoption in the network. Our work provides a model for how randomized trials can identify peer influence in Social networks. This paper was accepted by Pradeep Chintagunta and Preyas Desai, special issue editors. This paper was accepted by Pradeep Chintagunta and Preyas Desai, special issue editors.
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Identifying Social Influence: A Comment on Opinion Leadership and Social Contagion in New Product Diffusion
2010Co-Authors: Sinan AralAbstract:Professors Iyengar, Van den Bulte and Valente (2010) (hereafter IVV) make deep nuanced contributions to our understanding of how opinion leadership and Social Contagion affect the adoption and diffusion of new products. Their work moves us forward not only by answering several fundamental questions at the heart of diffusion research, but also by highlighting important open questions that should form the basis of future inquiry. In this comment, I extend insights gleaned from their empirical analyses to suggest how they may lead to an even more comprehensive understanding of peer influence and Social Contagion. Their work and the work that lies ahead are not only critical to marketing science and practice, but also more broadly to a host of disciplines as diverse as epidemiology, innovation management, organizational performance, development economics and public health. In what follows I sketch five broad questions suggested by IVV’s findings that could, if appropriately addressed, dramatically improve how we conceptualize and manage Social Contagions in a variety of domains.
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Creating Social Contagion Through Viral Product Design: A Randomized Trial of Peer Influence in Networks
SSRN Electronic Journal, 2010Co-Authors: Sinan Aral, D WalkerAbstract:We examine how firms can create word-of-mouth peer influence and Social Contagion by designing viral features into their products and marketing campaigns. Word-of-mouth (WOM) is generally considered to be more effective at promoting product Contagion when it is personalized and active. Unfortunately, the relative effectiveness of different viral features has not been quantified, nor has their effectiveness been definitively established, largely because of difficulties surrounding econometric identification of endogenous peer effects. We therefore designed a randomized field experiment on a popular Social networking website to test the effectiveness of a range of viral messaging capabilities in creating peer influence and Social Contagion among the 1.4 million friends of 9,687 experimental users. Overall, we find that viral product design features can indeed generate econometrically identifiable peer influence and Social Contagion effects. More surprisingly, we find that passive-broadcast viral messaging generates a 246% increase in local peer influence and Social Contagion effects, while adding active-personalized viral messaging only generates an additional 98% increase in Contagion. Although active-personalized messaging is more effective in encouraging adoption per message and is correlated with more user engagement and sustained product use, passive-broadcast messaging is used more often enough to eclipse those benefits, generating more total peer adoption in the network. In addition to estimating the effects of viral product design on Social Contagion and product diffusion, our work also provides a model for how randomized trials can be used to identify peer influence effects in networks.
Huakang Liang - One of the best experts on this subject based on the ideXlab platform.
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understanding the Social Contagion effect of safety violations within a construction crew a hybrid approach using system dynamics and agent based modeling
International Journal of Environmental Research and Public Health, 2018Co-Authors: Huakang Liang, Kenyu Lin, Shoujian ZhangAbstract:Previous research has recognized the importance of eliminating safety violations in the context of a Social group. However, the Social Contagion effect of safety violations within a construction crew has not been sufficiently understood. To address this deficiency, this research aims to develop a hybrid simulation approach to look into the cognitive, Social, and organizational aspects that can determine the Social Contagion effect of safety violations within a construction crew. The hybrid approach integrates System Dynamics (SD) and Agent-based Modeling (ABM) to better represent the real world. Our findings show that different interventions should be employed for different work environments. Specifically, Social interactions play a critical role at the modest hazard levels because workers in this situation may encounter more ambiguity or uncertainty. Interventions related to decreasing the Contagion probability and the safety⁻productivity tradeoff should be given priority. For the low hazard situation, highly intensive management strategies are required before the occurrence of injuries or accidents. In contrast, for the high hazard situation, highly intensive proactive safety strategies should be supplemented by other interventions (e.g., a high safety goal) to further control safety violations. Therefore, this research provides a practical framework to examine how specific accident prevention measures, which interact with workers or environmental characteristics (i.e., the hazard level), can influence the Social Contagion effect of safety violations.
-
the impact of coworkers safety violations on an individual worker a Social Contagion effect within the construction crew
International Journal of Environmental Research and Public Health, 2018Co-Authors: Huakang Liang, Kenyu Lin, Shoujian ZhangAbstract:This research developed and tested a model of the Social Contagion effect of coworkers’ safety violations on individual workers within construction crews. Both situational and routine safety violations were considered in this model. Empirical data were collected from 345 construction workers in China using a detailed questionnaire. The results showed that both types of safety violations made by coworkers were significantly related to individuals’ perceived Social support and production pressure. Individuals’ attitudinal ambivalence toward safety compliance mediated the relationships between perceived Social support and production pressure and both types of individuals’ safety violations. However, safety motivation only mediated the effects of perceived Social support and production pressure on individuals’ situational safety violations. Further, this research supported the differences between situational and routine safety violations. Specifically, we found that individuals were more likely to imitate coworkers’ routine safety violations than their situational safety violations. Coworkers’ situational safety violations had an indirect effect on individuals’ situational safety violations mainly through perceived Social support and safety motivation. By contrast, coworkers’ routine safety violations had an indirect effect on individuals’ routine safety violations mainly through perceived production pressure and attitudinal ambivalence. Finally, the theoretical and practical implications, research limitations, and future directions were discussed.