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Rouen, France

This article discusses a key development in the use of grounded theory (GT) in information systems (IS) - the use of quantitative data in mixed studies to build on and elaborate theories. We examine the design of one of our research projects and describe how this mixed-design GT project helped elaborate emerging theories using slices of qualitative and quantitative data. Our contributions are threefold: (i) we show that the use of mixed data and techniques can be leveraged to help build credible theories in IS because it allows researchers to build theories of greater abstraction and scope: it helps sense-making in the drive from substantive to parsimonious formal theories; (ii) in line with classic GT, we propose a mixed typological design to help build a pathway to formal grounded theories in rupture with existing literature; and (iii) we highlight GT as a meta-theory of research design and revisit some of its main principles in a mixed-design perspective. © 2015 Operational Research Society Ltd. Source


Gatfaoui H.,NEOMA Business School
Energy Economics | Year: 2016

Energy markets can represent a strategic advantage when they are supporting each other, and specifically when energy segments are complementary enough to support economic development and growth. In this light, a high and strategic interest relies on the possible interactions between energy market segments as well as their impact on a given country's financial market. The proposed research focuses on the interaction between the U.S. natural gas and U.S. crude oil markets on one side and their dependencies with the U.S. stock market on the other side. After controlling for structural changes or breaks, we characterize previous dependencies with the multivariate copula methodology. First, we assess the joint link prevailing between the natural gas and crude oil markets. Then, we characterize the joint risk structure prevailing between previous energy markets and the U.S. stock market. Finally, we assess the joint dependence structure between the natural gas, crude oil and stock markets. © 2015 Elsevier B.V. Source


Gomez P.,NEOMA Business School | Torelli C.J.,University of Minnesota
Journal of Consumer Psychology | Year: 2015

This research examines how cultural mindsets cued by a salient identity can influence how consumers interpret seemingly benign nutrition information in foods. Results show that nutrition information can be incongruent with the cultural norm of food enjoyment distinctively associated with French (and not American) identity. This occurs because of a conflict between the motivation to enjoy foods activated by a salient French identity and the utilitarian nature of nutrition information in foods - that does not belong to a French-culture mindset. Three studies demonstrate that French (and not American) consumers with a salient cultural identity are more sensitive (i.e., perceive as riskier for their health) and evaluate more negatively foods that display (vs. not) nutrition information. Furthermore, this devaluation effect is mediated by anticipated feelings that the foods would not be enjoyable. Providing further evidence for the motivational inconsistency between the culturally-distinctive norm of food enjoyment cued by a salient French-culture mindset, French (and not American) consumers with a salient (vs. not) cultural identity experienced more disfluency when processing nutrition information in foods. © 2015 Society for Consumer Psychology. Source


Poloni F.,University of Pisa | Sbrana G.,NEOMA Business School
International Journal of Production Economics | Year: 2015

Simple exponential smoothing is widely used in forecasting economic time series. This is because it is quick to compute and it generally delivers accurate forecasts. On the other hand, its multivariate version has received little attention due to the complications arising with the estimation. Indeed, standard multivariate maximum likelihood methods are affected by numerical convergence issues and bad complexity, growing with the dimensionality of the model. In this paper, we introduce a new estimation strategy for multivariate exponential smoothing, based on aggregating its observations into scalar models and estimating them. The original high-dimensional maximum likelihood problem is broken down into several univariate ones, which are easier to solve. Contrary to the multivariate maximum likelihood approach, the suggested algorithm does not suffer heavily from the dimensionality of the model. The method can be used for time series forecasting. In addition, simulation results show that our approach performs at least as well as a maximum likelihood estimator on the underlying VMA(1) representation, at least in our test problems. © 2015 Elsevier B.V. Source


Binninger A.-S.,NEOMA Business School
Journal of Food Products Marketing | Year: 2015

The aim of this article is to understand the concept of food “naturalness,” as it is perceived by the consumer via the packaging. The research is based on a qualitative study from which three types of experimental packaging were constructed (emotional, functional, and mixed) and a quantitative study carried out on 163 French consumers. The research identified two dimensions of food naturalness and related them to credibility, attractiveness, quality, and purchase intention, with differences according to the three types of packaging tested. The highlighting of their role in the perception of the naturalness of a food product should help managers to avoid overexposure of the concept. © 2015, Routledge. All rights reserved. Source

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