The Multinomial, Multiattribute Logit Choice Model

Gensch, Dennis H.; Recker, Will

doi:10.2307/3150883

Cited by 89 publications

(38 citation statements)

References 0 publications

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“…O modelo de escolha discreta permite determinar a probabilidade relativa de compra do novo produto com base nas utilidades dos produtos disponíveis (GENSCH; RECKER, 1979). Para isso, produtos são descritos como um conjunto de atributos perfeitamente substituíveis.…”

Section: Modelo De Escolha Discretaunclassified

Um novo modelo de previsão de demanda para inovações radicais

Neumann¹,

Santa-Eulalia

Yoshino

et al. 2013

Prod.

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ResumoEste trabalho apresenta um novo modelo para a previsão de demanda de inovações radicais baseada em simulação de Dinâmica de Sistemas que combina conceitos do modelo de difusão de Bass e do modelo de escolha discreta. Diferentemente de outras abordagens existentes, esta proposta permite estimar não somente a fatia de mercado do produto, mas também seu comportamento no tempo (timing), a partir das preferências individuais do consumidor e das forças que as influenciam. O modelo proposto pode ser facilmente parametrizado através da Conjoint Analysis e foi testado em escala real no mercado alemão de carros elétricos. Os resultados obtidos colocam em evidência o potencial da abordagem proposta, auxiliando na compreensão dos principais fatores na escolha desse produto.

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Section: Modelo De Escolha Discretaunclassified

Um novo modelo de previsão de demanda para inovações radicais

Neumann¹,

Santa-Eulalia

Yoshino

et al. 2013

Prod.

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show abstract

“…On the other hand, another actor weighing familiarity less is more inclined towards opting for innovative options; hence represents a more innovative profile. This preference structure is coupled with a variant of the logit function (Gensch and Recker 1979;Ben-Akiva and Lerman 1985) in determining the shift of end-user demand among electricity supply options.…”

Section: Model Descriptionmentioning

confidence: 99%

A simulation-based analysis of transition pathways for the Dutch electricity system

Yücel

Daalen

2012

Energy Policy

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Recent developments constitute a backdrop of change for the Dutch electricity system. Institutional change driven by liberalization, changing economical competitiveness of the dominant fuels, new technologies, and changing end-user preferences regarding electricity supply are some examples of these developments. In order to analyze the conjoint impact of such developments on the internal dynamics of the electricity system (grid-based and distributed generation), a simulation model is developed. The simulation experiments with the model indicate the continuation of fossil fuel dominance as the energy source, and a shift from natural gas to coal seems likely in the base case. In other cases, it is seen that a transition away from carbonintensive mode requires significant regulatory intervention, since technological developments and 'greening' end-users fail to trigger a system-wide transition. Moreover, it is observed that policies for carbon abatement and renewable generation support are intertwined, and may lead to unintended shifts of abatement costs to endusers.

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“…Bitner (1992) Environmental Psychology (Holahan 1986;Darley and Gilbert 1985;Stokols and Altman 1987;Russell and Ward 1982) The link between store environmental elements, emotions and patronage Developed the theoretical model for Environmental Psychology to be applied to retail patronage Arnold, Oum and Tigert (1983) Multinominal Logit Choice Behavior Mathematical Model (Gensch and Recker 1979;McFadden 1980;Punj and Staelin 1978) The link between store characteristics, and patronage Store size, price levels, merchandise display, location, service level, and quality merchandise affect patronage Moore and Carpenter (2006) Consumers' use of reference prices (Biswas et al 2002); price as a signal of quality and value (Grewal et al 1998); response to price reductions (Grewal et al 1996) The link between store characteristics and patronage…”

Section: (Table Continues) (Continued)mentioning

confidence: 99%