Validating agent-based marketing models through conjoint analysis

Garcia, Rosanna; Rummel, Paul; Hauser, John R.

doi:10.1016/j.jbusres.2007.02.007

Cited by 51 publications

(42 citation statements)

References 8 publications

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“…The complex adaptive system exhibits various levels of emergence from price or product differentiation to change in dominant design or even emergence of new (Carcia et al 2007). It is based on the premise of building the model to analyze the courses of open innovation, the complex adaptive system, and evolutionary change, starting from strategy at a corporate level.…”

Section: Model Building: Methodsmentioning

confidence: 99%

Dynamics from open innovation to evolutionary change

Yun

Won

Park

2016

Journal of Open Innovation: Technology, Market, and Complexity

203

202

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Section: Model Building: Methodsmentioning

confidence: 99%

Dynamics from open innovation to evolutionary change

Yun

Won

Park

2016

Journal of Open Innovation: Technology, Market, and Complexity

203

202

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“…A number of methods exist for the collection and analysis of new socio-economic data based on the principles of social survey. This might include the use of interviews, questionnaires or other semi-quantitative elicitation methods such as conjoint analysis [67]. The principle that underpins the use of these methods in ABM development is to understand the rules that determine agent behaviour and preferences and how this underpins decision-making as well as to create typologies that seek to simplify agent representation where a system comprises many actors.…”

Section: Discussionmentioning

confidence: 99%

From actors to agents in socio-ecological systems models

Rounsevell

Robinson

Murray-Rust

2012

Phil. Trans. R. Soc. B

161

122

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The ecosystem service concept has emphasized the role of people within socio-ecological systems (SESs). In this paper, we review and discuss alternative ways of representing people, their behaviour and decision-making processes in SES models using an agent-based modelling (ABM) approach. We also explore how ABM can be empirically grounded using information from social survey. The capacity for ABM to be generalized beyond case studies represents a crucial next step in modelling SESs, although this comes with considerable intellectual challenges. We propose the notion of human functional types, as an analogy of plant functional types, to support the expansion (scaling) of ABM to larger areas. The expansion of scope also implies the need to represent institutional agents in SES models in order to account for alternative governance structures and policy feedbacks. Further development in the coupling of human-environment systems would contribute considerably to better application and use of the ecosystem service concept.

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“…Stummer and Kiesling 2012), the required data for parameterizing the market simulation has to be collected (e.g., by means of conjoint analysis for retrieving proper preference data as discussed in Sect. 3 and suggested by Garcia et al 2007), and simulation results have to be validated in order to ensure that they also reflect and explain processes from real markets (an example can be found in Stummer et al 2015; for a more general discussion cf. Fagiolo et al 2007).…”

Section: Market Analysismentioning

confidence: 99%

Management science in the era of smart consumer products: challenges and research perspectives

Dawid

Decker

Hermann

et al. 2016

Cent Eur J Oper Res

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Smart products not only provide novel functionalities, but also may establish new business models, markets, or distribution channels, strengthen relationships with consumers, and/or add smart remote services. While many technical obstacles of such products have already been overcome, the broad market dissemination of smart products still poses some vital managerial challenges for decision makers. In this paper, we outline the technical potential and future trends of smart consumer products, discuss economic challenges in four scopes, namely, preference-based new product development, market analysis, supply chain design, and industry development, and, in particular, we highlight research perspectives for management science in this promising field.

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Validating agent-based marketing models through conjoint analysis

Cited by 51 publications

References 8 publications

Dynamics from open innovation to evolutionary change

Dynamics from open innovation to evolutionary change

From actors to agents in socio-ecological systems models

Management science in the era of smart consumer products: challenges and research perspectives

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