Explore the vast range of titles available.

Purpose Orthorexia nervosa (ON) is described as an obsession for healthy eating with potentially debilitating consequences but little of its psychopathology is empirically supported. Using suitable validation methodologies, we wanted to optimize the empirical assessment of ON symptoms and investigate their unclear relationship with BMI. Our objective was, therefore, twofold: (1) Validation of a robust measurement model of ON dimensions using the Eating Habits Questionnaire (EHQ); (2) Validation of a structural model describing a mechanism of relationships between ON dimensions and BMI. Methods A self-report questionnaire assessing BMI and ON through a French translation of the 21-item EHQ was administered to a large sample of French adults ( N  = 2065). We used Exploratory and Confirmatory Factor Analysis for objective no. 1 and Structural Equation Modeling for objective no. 2. Results We validated a well-fitted (TLI = 0.98; RMSEA = 0.04) and conceptually consistent measurement model with 16 items for three ON dimensions: Rigid Eating Behavior (REB), Positive Feeling of Control (PFC) and Problems of Attention Control and Social Relationships (PACSR). We also validated a structural model (TLI = 0.96; RMSEA = 0.05) showing that: 1. REB strongly impacts both PFC and PACSR; 2. REB has a significant negative impact on BMI and BMI has a significant positive effect on PACSR but effect sizes are very small and globally ON dimensions are only marginally related to BMI. Conclusion Our study achieved an improved assessment method of ON, a clarification of its links with BMI and implications for the descriptive psychopathology of ON. Level of evidence V, Descriptive cross-sectional study.

Purpose Big data analytics (BDA) increasingly provide value to firms for robust decision making and solving business problems. The purpose of this paper is to explore information quality dynamics in big data environment linking business value, user satisfaction and firm performance. Design/methodology/approach Drawing on the appraisal-emotional response-coping framework, the authors propose a theory on information quality dynamics that helps in achieving business value, user satisfaction and firm performance with big data strategy and implementation. Information quality from BDA is conceptualized as the antecedent to the emotional response (e.g. value and satisfaction) and coping (performance). Proposed information quality dynamics are tested using data collected from 302 business analysts across various organizations in France and the USA. Findings The findings suggest that information quality in BDA reflects four significant dimensions: completeness, currency, format and accuracy. The overall information quality has significant, positive impact on firm performance which is mediated by business value (e.g. transactional, strategic and transformational) and user satisfaction. Research limitations/implications On the one hand, this paper shows how to operationalize information quality, business value, satisfaction and firm performance in BDA using PLS-SEM. On the other hand, it proposes an REBUS-PLS algorithm to automatically detect three groups of users sharing the same behaviors when determining the information quality perceptions of BDA. Practical implications The study offers a set of determinants for information quality and business value in BDA projects, in order to support managers in their decision to enhance user satisfaction and firm performance. Originality/value The paper extends big data literature by offering an appraisal-emotional response-coping framework that is well fitted for information quality modeling on firm performance. The methodological novelty lies in embracing REBUS-PLS to handle unobserved heterogeneity in the sample.

PurposeThis study explores key dimensions of mobile commerce activities (MCAs), evaluates their impact on firm performance and examines the role of mobile commerce performance as a mediator and the role of industry competitive intensity as a moderator.Design/methodology/approachThe qualitative research identified 21 principal retailers’ MCAs. A survey involving 172 retail executives was then conducted to examine the structure of MCAs and their impacts on firm performance.FindingsOur findings reveal that the MCAs comprise four dimensions: guidance, connection, in-store conversion and relation. These dimensions jointly impact firm performance through mobile commerce performance, moderated by industry competition.Research limitations/implicationsThis study provides a foundational understanding of MCAs. Future research should continue to explore how these dimensions interact.Practical implicationsRetailers can enhance their management of MCA investments by focussing on four key areas: guidance, contact, in-store conversion and relation. By customizing activities and prioritizing those that strengthen customer relationship management within one area, retailers can effectively align their MCA strategies with their specific business context.Originality/valueThe study’s originality lies in identifying and empirically testing the dimensionality of MCAs, emphasizing the role of customer-centric mobile performance and expanding the understanding of MCA value creation.

PurposeThe purpose of this paper is to investigate the early career values and individual factors of objective career success among graduates from a top-tier French business school.Design/methodology/approachThe authors conducted a quantitative analysis of 629 graduates classified in three job markets according to income: the traditional business market, the alternative market and the high-potential business market. The graduation dates span a period of 12 years before the 2008 Recession.FindingsThe findings suggest that membership of each job market is associated with distinct early career values (when choosing/leaving the first job). Moreover, the authors confirm that the presence of a mentor, international experience, job-hopping and gender, all affect objective career success.Practical implicationsThe paper discusses implications for business career development and higher business education.Originality/valueThe originality of this study lies in the identification of the individual factors of objective career success among French business graduates and the links between objective career success and early career values.

We explore the relationships between student satisfaction and its antecedents—perceived value, university image, and perceived quality—from the perspective of employed graduate students from a Spanish technical university. To determine how students were segmented in our structural model, a general model was tested using partial least squares structural equation modelling and heterogeneity was tested using pathmox analysis. Our analysis indicated that student satisfaction varied according to demographics, university curricula, and job-related variables, resulting in three groupings differentiated by salary and grade point average (GPA): (1) higher-salary graduates, (2) lower-salary/lower-GPA graduates, and (3) lower-salary/higher-GPA graduates. We found student priorities to be as follows: perceived quality of soft skills was important for the higher-salary students, perceived quality of hard skills for lower-salary/higher-GPA students, and university image for lower-salary/lower-GPA students. Our findings contribute evidence concerning the satisfaction of graduates, exemplifying how an apparently representative global model can in fact mask different relationships between constructs due to heterogeneous data, underlining the importance of accounting for heterogeneity when analysing student preferences. Our results would suggest that higher education institutions could consider customizing polices according to student profiles reflecting labour market insertion and proficiency.

Purpose The purpose of this paper is to investigate the early career values and individual factors of objective career success among graduates from a top-tier French business school. Design/methodology/approach The authors conducted a quantitative analysis of 629 graduates classified in three job markets according to income: the traditional business market, the alternative market and the high-potential business market. The graduation dates span a period of 12 years before the 2008 Recession. Findings The findings suggest that membership of each job market is associated with distinct early career values (when choosing/leaving the first job). Moreover, the authors confirm that the presence of a mentor, international experience, job-hopping and gender, all affect objective career success. Practical implications The paper discusses implications for business career development and higher business education. Originality/value The originality of this study lies in the identification of the individual factors of objective career success among French business graduates and the links between objective career success and early career values.

Brain imaging is increasingly recognised as an intermediate phenotype to understand the complex path between genetics and behavioural or clinical phenotypes. In this context, a first goal is to propose methods to identify the part of genetic variability that explains some neuroimaging variability. Classical univariate approaches often ignore the potential joint effects that may exist between genes or the potential covariations between brain regions. In this paper, we propose instead to investigate an exploratory multivariate method in order to identify a set of Single Nucleotide Polymorphisms (SNPs) covarying with a set of neuroimaging phenotypes derived from functional Magnetic Resonance Imaging (fMRI). Recently, Partial Least Squares (PLS) regression or Canonical Correlation Analysis (CCA) have been proposed to analyse DNA and transcriptomics. Here, we propose to transpose this idea to the DNA vs. imaging context. However, in very high-dimensional settings like in imaging genetics studies, such multivariate methods may encounter overfitting issues. Thus we investigate the use of different strategies of regularisation and dimension reduction techniques combined with PLS or CCA to face the very high dimensionality of imaging genetics studies. We propose a comparison study of the different strategies on a simulated dataset first and then on a real dataset composed of 94 subjects, around 600,000 SNPs and 34 functional MRI lateralisation indexes computed from reading and speech comprehension contrast maps. We estimate the generalisability of the multivariate association with a cross-validation scheme and demonstrate the significance of this link, using a permutation procedure. Univariate selection appears to be necessary to reduce the dimensionality. However, the significant association uncovered by this two-step approach combining univariate filtering and L1-regularised PLS suggests that discovering meaningful genetic associations calls for a multivariate approach.

Notre recherche s’intéresse à l’influence du contexte interne et externe sur la façon dont les PME orchestrent trois capacités marketing reconnues comme très complémentaires : les capacités d’étude du marché et de la demande, les capacités de formulation de la stratégie marketing et les capacités de gestion de l’offre de valeur. Notre démarche de classification inductive a permis (i) d’observer trois profils de configuration marketing (le profil statique, le profil dynamique-agile et le profil dynamique-proactif) et (ii) de démontrer que l’alignement organisationnel des capacités marketing dépend de deux facteurs spécifiques : le degré d’incertitude de l’environnement de marché et le niveau du chiffre d’affaires annuel.

We propose a multidimensional instrument to assess the degree of presence of marketing capabilities a firm possesses, at three levels of abstraction. We first present the theoretical framework for marketing capabilities and discuss the main scales proposed by Vorhies et al. Then, we detail the steps required to develop and validate our third-order formative instrument. We assess the convergent and discriminant validity of the proposed instrument via partial least squares path modelling (PLS-PM) applied to a sample of 199 French small- and medium-sized enterprises (SMEs). Finally, we check the nomological validity of our instrument by testing the positive effect of marketing capabilities on organisational performance.