Digital internal communication: An interplay of socio-technical elements

Digital transformation has become a research focus in recent years. Likewise, internal communication (IC) is one of the fastest-growing specialisations in public relations and communication management. This research explores digital internal communication (DIC) at the nexus between digital transformation and IC. We provide an integrative review of the literature; our thematic analysis of selected journal articles and other scholarly texts is guided by the concept of organisations as socio-technical systems. Furthermore, we create a template using NVivo software to organise the emerging themes and clusters following the logic of communication levels. This template allows us to explain the phenomenon of DIC in a socio-technical organisational system and discuss how the emerging themes are interrelated, people-focused, and linked to competency development and trust-building. As a contribution to theory, we offer a conceptual model which illustrates the dynamics of DIC as an interplay of socio-technical elements on three communication levels. This conceptual model can be further developed in scholarly discussions on DIC and by organisations reflecting on their IC use in a digital workplace environment.     

A theory of instrumental and existential rational decisions: Smith,Weber, Mauss,Tönnies after Martin Buber

This paper proffers a dialogical theory of decision-making: decision-makers (DMs) are engaged in two modes of rational decisions, instrumental and existential. Instrumental rational decisions take place when the DM views the self externally to the objects, whether goods or animate beings. Existential rational decisions take place when the DM views the self in union with such objects. While the dialogical theory differs from Max Weber’s distinction between two kinds of rationality, it follows Martin Buber’s philosophical anthropology. The paper expounds the ramifications of the dialogical theory in understanding structures of exchange considering assessments of diverse thinkers.

     

Le travail n'est pas une marchandise. Contenu et sens du travail au XXIe siècle

Dans sa dernière leçon au Collège de France, Alain Supiot revient sur les travaux qu'il a consacrés aux transformations du travail au XXI^e siècle, en soulignant le rôle du droit et des institutions pour faire face aux conséquences de la révolution numérique et au défi écologique. La faillite morale, sociale et écologique du néolibéralisme doit nous obliger, selon lui, à reconsidérer la fiction juridique du travail marchandise et à établir ce que le préambule de la Constitution de l'OIT nomme «un régime de travail réellement humain», qui fasse place au sens et au contenu du travail. Cette thèse est illustrée par l’étude du cas de la recherche scientifique.     

Immigration Selection and the Educational Composition of the US Labor Force

Immigration policy is often viewed as an important regulator of the flow of labor and human capital into the labor market. In the US context, this perspective underlies efforts to raise the educational levels of newly admitted US immigrants, which has been proposed through a variety of mechanisms. Yet it remains unclear whether and under what circumstances such changes would significantly raise the educational level of the US labor force. We use a microsimulation model to evaluate the effects of various policy proposals that would seek to admit more highly educated immigrants. Results suggest that adopting a Canadian-style admissions policy that explicitly selects immigrants based on educational attainment would lead to a better educated labor force, especially among immigrants and their descendants. Eliminating all unauthorized immigration or family reunification and diversity admission categories, however, would have minimal impact. Additionally, the effects of all policy scenarios on the educational composition of the entire labor force are likely to be modest and would be conditional on the continuation of intergenerational mobility and high levels of immigration.     

Literacy Skills as an Explanation for Labor Market Imbalances by Occupational Type in Canada: Microsimulation Projections for 2014–2024

Population Research and Policy Review - In Canada, the immigration selection process gives great importance to education level. However, studies find that given an equivalent level of education,...     

Implementing Dynamics of Immigration Integration in Labor Force Participation Projection in EU28

Population Research and Policy Review - Many developed countries have turned to immigration in order to mitigate the consequences of population aging, particularly the expected decline in the labor...     

Multilevel modelling of survey data: impact of the two-level weights used in the pseudolikelihood

Approaches that use the pseudolikelihood to perform multilevel modelling on survey data have been presented in the literature. To avoid biased estimates due to unequal selection probabilities, conditional weights can be introduced at each level. Less-biased estimators can also be obtained in a two-level linear model if the level-1 weights are scaled. In this paper, we studied several level-2 weights that can be introduced into the pseudolikelihood when the sampling design and the hierarchical structure of the multilevel model do not match. Two-level and three-level models were studied. The present work was motivated by a study that aims to estimate the contributions of lead sources to polluting the interior floor dust of the rooms within dwellings. We performed a simulation study using the real data collected from a French survey to achieve our objective. We conclude that it is preferable to use unweighted analyses or, at the most, to use conditional level-2 weights in a two-level or a three-level model. We state some warnings and make some recommendations.     

Bayesian optimal design for changepoint problems

We investigate Bayesian optimal designs for changepoint problems. We find robust optimal designs which allow for arbitrary distributions before and after the change, arbitrary prior densities on the parameters before and after the change, and any log‐concave prior density on the changepoint. We define a new design measure for Bayesian optimal design problems as a means of finding the optimal design. Our results apply to any design criterion function concave in the design measure. We illustrate our results by finding the optimal design in a problem motivated by a previous clinical trial. The Canadian Journal of Statistics 37: 495–513; 2009 © 2009 Statistical Society of Canada