Computer simulation in social sciences

Mollona, Edoardo

doi:10.1007/s10997-008-9049-6

Cited by 20 publications

(9 citation statements)

References 31 publications

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“…Adopting the analytical lens proposed, the study will use agent-based modelling (ABM) simulations to examine the impact of digital coordination mechanisms on the nature, co-creation activities, and performance of self-organizing service ecosystems. We will use ABM as it can better capture properties of self-organizing systems, when compared to other modelling approaches like system dynamics (Mollona 2008). The development process for the ABM simulations will follow the traditional approach according to Macal and North (2014).…”

Section: Discussion Conclusion and Future Researchmentioning

confidence: 99%

Self-organizing Service Ecosystems: Exploring a New Concept for Service Science

Pena¹,

Breidbach²,

Turpin³

2018

Australasian Conference on Information Systems 2018

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The rapid advancements on digital technologies have positioned digital transformation as a central topic of interest to information systems (IS) researchers. However, our understanding of the nature, extent and dynamics of digital service ecosystems remains limited. This short paper contributes to IS and service science research by introducing the conceptualization of self-organizing service ecosystem as an analytical lens for understanding digital transformative phenomena in service ecosystems. To achieve this, we draw on the most recent narrative of value co-creation from service-dominant logic and on key definitions from the theory of self-organization. This paper also discusses future research directions emphasizing on the role and impact of technology in self-organizing service ecosystems.

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Section: Discussion Conclusion and Future Researchmentioning

confidence: 99%

Self-organizing Service Ecosystems: Exploring a New Concept for Service Science

Pena¹,

Breidbach²,

Turpin³

2018

Australasian Conference on Information Systems 2018

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“…Agent Based Modeling is a new technique for understanding how the dynamics of the complex systems arise from the characteristics and behaviors of autonomous and interacting computational objects, called agents. In comparison with "top-down" modeling, Agent Based Modeling provides a "bottom-up" approach, where behaviors are captured at agents' level [6]. Agents are autonomous, interacting computational objects, situated in space and time, with unique attributes.…”

Section: Agent Based Model (Abm)mentioning

confidence: 99%

An Agent Based Model for Land Use Policies in Coastal Areas

Nabinejad

Schüttrumpf

2017

Int. Conf. Coastal. Eng.

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Reducing the probability of flooding by flood defence structures might not be successful without appropriate actions taken in order to mitigate flood damages. Moreover, success depends on actions at both governmental and individual levels. Therefore, farmers as the inhabitant of flooding areas may contribute to flood management in terms of land use policies which lead to communication, human interaction, and adaptation. However, these social behaviors have not taken into account in flood management studies due to their complex nature and human has been only considered as the receptor of flooding without paying attention to multiple feedbacks over time horizons with a dynamic approach. In our study, we overcome this deficiency by employing Agent Based Model (ABM) of land use policy in flood risk management and address challenges regarding social interactions in this research area. Our Agent Based Model includes perspectives from engineering, decision making, and socio-economics allowing to model human-flood interactions. In this model, farmers are considered as individuals whose decisions depend on climatic conditions, crop yields, costs and prices, flood damage, personal risk perception, and their social interactions. This is achieved by integrating three main modules including hydrological module, flood analysis module, and decision making module in the frame of Agent Based Model. This paper has shed some light on main concepts of our Agent Based Model including the developed methodology, main modules, required information, and initial results. It also summarizes the components of the modules and the governed interactions.

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“…I speculate that the most relevant are reducible to the following four, and are reported in no particular order. First, simulations in management and organization studies aim at representing complex social phenomena (Lave and March, 1975;Mollona, 2008). This aim is a clear challenge in that organizational-related variables are many and their behavior is difficult to predict, ambiguity being one of the most apparent characteristic (March, 1981).…”

Section: Introductionmentioning

confidence: 99%

A case for agent-based models in organizational behavior and team research

Secchi

2015

Team Performance Management

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Purpose-This paper aims at introducing agent-based models (ABMs) and reviews some of their features in an attempt to show why they can be useful for organizational behavior research. Design/methodology/approach-The use of simulations has increased substantially in the past ten to fifteen years, but management seems to hold back to the agent-based "revolution". The paper first describes the ABMs, and then discusses some of the issues that usually prevent management scholars from using simulations. Findings-This paper indicates how an agent-based approach can help overcome the hesitations surrounding computer simulations because (a) it makes it relatively easy to model emergent and complex social phenomena, and (b) simulation is made easier by user-friendly software platforms that connect it to the existing research methods. Originality/value-This article describes ABMs in a way that may be attractive to organization scholars, and it depicts the frontiers of a more flexible computational and mathematical approach to organizations, management and teams.

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Computer simulation in social sciences

Cited by 20 publications

References 31 publications

Self-organizing Service Ecosystems: Exploring a New Concept for Service Science

Self-organizing Service Ecosystems: Exploring a New Concept for Service Science

An Agent Based Model for Land Use Policies in Coastal Areas

A case for agent-based models in organizational behavior and team research

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