Explorative Data Analysis and CATANOVA for Ordinal Variables: An Integrated Approach

Categorical analysis of variance (CATANOVA) is a statistical method designed to analyse variability between treatments of interest to the researcher. There are well-established links between CATANOVA and the τ statistic of Goodman and Kruskal which, for the purpose of the graphical identification of this variation, is partitioned using singular value decomposition for Non-Symmetrical Correspondence Analysis (NSCA) (D'Ambra & Lauro, 1989). The aim of this paper is to show a decomposition of the Between Sum of Squares (BSS), measured both in CATANOVA framework and in the statistic τ, into location, dispersion and higher order components. This decomposition has been developed using Emerson's orthogonal polynomials. Starting from this decomposition, a statistical test and a confidence circle have been calculated for each component and for each modality in which the BSS was decomposed, respectively. A Customer Satisfaction study has been considered to explain the methodology.     

Further applications of bias to discriminant analysis

This article extends the biased minimum x² rule to the unequal covariance matrix case and to the case of several populations, The biased procedure is shown to improve the performance of the commonly used classification procedures. Results of sampling experiments over a broad range of conditions are provided to demonstrate this improvement.     

Social time preference: a rejoinder

This note argues that positive discounting is necessary for intergenerational equity, and that the choice of the discount rate should be based on the principle that individuals of different generations should be treated in a symmetrical fashion.      

Implementing a Trauma Recovery Framework for Youths in Residential Treatment

This paper describes an intervention designed to address the special needs of youths with histories of maltreatment and exposure to family and community violence. The primary components of the model include an enhanced therapeutic community environment and a psychoeducation program that is aimed at changing non-adaptive cognitive and behavioral patterns which developed as means of coping with traumatic experiences. The implementation of the model and proximal effects on the therapeutic communities and youths are being examined in comparison to standard residential services. Initial perceptions of staff illustrate the challenges in applying an intervention that calls for changing the organizational culture.     

Some remarks on measurement models in the structural equation model: an application for socially responsible food consumption

Considering the structural equation model (SEM), usually the main researches are based on the structural model rather than on the measurement one. So, this context implies some problems: construct misspecification, identification and validation. Starting from the most recent articles in terms of these issues, we achieve – and formalize through two tables – a general framework that could help researchers select and assess both formative and reflective measurement models with special attention on statistical implications. To show this general framework, we present a survey on customer behaviours for socially responsible food consumption. The survey was carried out by delivering a questionnaire administered to a representative sample of 332 families. In order to detect the main aspects impacting consumers’ preferences, a factor analysis has been performed. Then the general framework has been used to select and assess the measurement models in SEM. The estimation of the SEM has been worked out by partial least squares. The significance of the indicators has been tested using bootstrap. As far as we know, it is the first time that a model for the analysis of the consumers’ behaviour for social responsibility is formalized through a SEM.     

Temporary Competitive Advantage: A State‐of‐the‐Art Literature Review and Research Directions

In many industries, the traditional sources of competitive advantage tend to evaporate fairly rapidly. Therefore, managers need to continually rethink and reformulate their firm strategies. Likewise, scholars have felt compelled to shift the traditional centre of attention from competitive advantage that is sustainable over time to a focus on how firms compete by achieving a series of temporary advantages. However, the proliferation of research on temporary competitive advantage, far from building a solid body of literature, has produced a series of fragmented studies. This condition calls for detecting the state of knowledge in this realm of strategic inquiry. By leveraging the present status of the literature on temporary competitive advantage, we offer a conceptual map of the current inquiry of the antecedents, management, and consequences of temporary competitive advantage. Then, we identify the key implications for strategy theory and discuss the major challenges for cultivating fertile territories in this intriguing area of research.     

Growth,Trade and Factor Endowment: A Survey

This paper examines the relationship between factor endowment, human capital formation and trade in the theory of economic growth. The paper analyses the evolution of the idea that both trade and human capital play a leading role in explaining country performance and development. Economic growth, dynamic comparative advantage, international specialization and cumulative technological progress are identified as the key ingredients that explain why countries perform differently and, at the same time, why they may tend to converge towards a common benchmark.     

Associations Between Systemic Quality of Life and Burnout Among French Canadian Workers

Social Indicators Research - Burnout has very often been studied from a work-life specific perspective. However, a recent field of research leads to wonder about the impact that life events can...     

Revamping research on unrelated diversification strategy: perspectives,opportunities and challenges for future inquiry

With the aim of achieving an advanced understanding of current research on unrelated diversification and providing fruitful groundwork to foster active interchange between disciplinary traditions, this paper detects articles from two relevant research streams; i.e., strategic management and financial economics. We first provide a brief overview of management thinking on unrelated diversification strategy. Then, we present a conceptual map that offers a comprehensive appreciation of unrelated diversification strategy antecedents (i.e., environmental and institutional, organizational value-enhancing, and managerial drivers), implementation process (i.e., managerial complexity, misallocation of resources, and structural inertia), and consequences (i.e., diversification premiums and discounts). Finally, we unpack the major gaps in our current knowledge that may help refocus the research agenda on unrelated diversification strategy and revamp the apparent waning proclivity of this issue.