Une échelle de mesure de l'appartenance aux cercles sociaux : Analyse factorielle confirmatoire multiniveaux

Sempé, Laurent

doi:10.1177/076737010001500203

Cited by 8 publications

(6 citation statements)

References 38 publications

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“…For example one interviewee stated "I enjoy this community because Mr X is a member " It is recognized in marketing consumer preferences are influenced by their reference groups such as social classes, ethnic groups , the family, friends ... "At the consumer relations may limit the options of his" ego " and influence their choices , just as providing him with opportunities to promote his interests and influence on others " ( Sempé 2000) The complexity of the assessment of a virtual community lies indeed in its multimember ship and it is therefore subject to different pressures more or less implicit such as the presence of social references in this community. Interactivity:…”

Section: The Quality Of Membersmentioning

confidence: 99%

Perceived Quality of a Virtual Community and Its Components: An Exploratory Investigation

Othmani¹,

Bouslama²

2015

JISNVC

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The increasing use of the virtual communities encourages involvement in understanding its characteristics. The perceived quality of the website was a major concern of web marketer's. Given the differences between the traditional websites and the virtual communities, also the speedy maturation of information engineering, mechanisms of perception of quality has also evolved. This research identifies the specificities of perceived quality of virtual communities. Through an exploratory qualitative study in two stages we were able to extract five dimensions.

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Section: The Quality Of Membersmentioning

confidence: 99%

Perceived Quality of a Virtual Community and Its Components: An Exploratory Investigation

Othmani¹,

Bouslama²

2015

JISNVC

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“…Mais cette non-indépendance conduit ici le modèle MCO à surestimer le degré de significativité de l'effet de la variable Genre : si l'on s'était contenté du modèle MCO, le fait d'être une femme aurait été considéré, à tort, comme ayant, sur la fidélité des consommateurs des 49 magasins concernés, un effet significatif (au seuil de 1 %) alors qu'il ne l'est même pas au seuil de 5 %. Sempé (2000) ou N'Gobo et Guinguant (2006).…”

Section: Illustration De Surestimation D'un Effet Par Les Mcounclassified

“…Il en va ainsi d'articles parus dans des revues telles que le Journal of Marketing (par exemple, Steenkamp et Geyskens, 2006), Marketing Science (par exemple Ter Hofstede, Wedel et Steenkamp, 2002 4 ou, plus récemment, Palmatier, Gopalakhrishna et Houston, 2006), l'International Journal of Research in Marketing (Bijmolt, Paas et Vermunt, 2004), ou encore le Journal of Service Research (Malthouse et alii, 2004). De même, Recherche et Applications en Marketing et Décisions Marketing ont déjà publié des textes utilisant les modèles multiniveaux, tels que Sempé (2000) ou N'Gobo et Guinguant (2006).…”

Section: Illustration De Surestimation D'un Effet Par Les Mcounclassified

Modéliser les phénomènes multiniveaux en marketing

Ray¹,

Ray

2008

Recherche et Applications en Marketing (French Edition)

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Comme en témoigne la littérature internationale, le recours aux modèles multiniveaux, bien que récent en marketing, connaît un fort développement. Or cette méthode, qui s'applique à des données structurées en niveaux distincts (ex.: consommateurs/magasins/enseignes), n'est pas évidente à comprendre et mettre en œuvre sans explications appropriées. Ce texte, qui s'appuie sur une illustration marketing, souligne les objectifs, l'intérêt et les limites des modèles multiniveaux.

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“…and Décisions Marketing have already published articles using multilevel models such as Sempé (2000) and N'Gobo and Guinguant (2006). However, the presentation of multilevel models made here differs from these previous articles in that it focuses on the method itself instead of serving as a simple methodological appendix supporting a body of research.…”

Section: Boxmentioning

confidence: 99%

Multilevel Modeling for Marketing: A Primer

Ray¹,

Ray

2008

Recherche et Applications en Marketing (English Edition)

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Many marketing subjects call for treating different "level" variables within a single model (and therefore to resort to, as we shall demonstrate, "multilevel" models) 1 such as, for example:• international marketing problems involving consumer segmentation (Ter Hofstede, Wedel and Steenkamp, 2002;N'Gobo and Guinguant, 2006) or, for example, demonstrating the existence of moderating effects within the relationship between the perceived quality of websites and its main drivers on the individual level (Steenkamp and Geyskens, 2006) requires the integration of national characteristics (country level) in addition to individual characteristics (consumer level); • measurement of the ROI from relationship marketing programs requires assigning variables for each of the levels involved: customer, salespersonThe authors would like to thank the anonymous reviewers of this article as well as the editor of Recherche et Applications en Marketing for their comments and suggestions. The authors are, however, solely responsible for any remaining errors. Jean-Claude Ray would also like to thank Section 37 of the CNRS for allowing him to benefit from a delegation for a period of two years to conduct a research project involving the implementation of multilevel models. The authors can be reached at the following e-mail address: daniel.ray@grenoble-em.com 1. While the term multilevel seems to be the norm, these models are also referred to as mixed linear models. These are often hierarchical linear models (HLM). ABSTRACTRecent marketing literature relies more and more on multilevel models. Yet, this method, which applies to data structured in levels (e.g., consumers, nested within stores, themselves nested within retailers), is not straightforward to understand and to implement. Through a marketing example, the present text introduces the reader to the objectives, interest and limits of multilevel modeling.

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Une échelle de mesure de l'appartenance aux cercles sociaux : Analyse factorielle confirmatoire multiniveaux

Cited by 8 publications

References 38 publications

Perceived Quality of a Virtual Community and Its Components: An Exploratory Investigation

Perceived Quality of a Virtual Community and Its Components: An Exploratory Investigation

Modéliser les phénomènes multiniveaux en marketing

Multilevel Modeling for Marketing: A Primer

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