"This comprehensive and practical book looks at how to implement the most effective social technologies in the organisation and how to manage and sustain these successfully. Based on new research and a survey of practitioners in the enterprise, the author provides a simple framework which makes the book both a practical guide for managers, as well as an informative window into the world of social technologies in business"--
The Beijing–Tianjin–Hebei region is China's most important urban economic group. The specific structure of the region's manufacturing industry causes enterprises to face the problem of low investment efficiency. How to balance high efficiency investment with the development of the ecological environment, achieving a win–win situation, is an urgent problem. In order to explore the impact of environmental regulation on the investment efficiency of listed manufacturing enterprises in the Beijing–Tianjin–Hebei region, this study utilized environmental regulation and enterprise-level data from 2011 to 2017, established a panel regression model, and then tested the impact mechanism of environmental regulation on corporate investment efficiency. On this basis, the panel threshold model was established to test the existence of the threshold effect of environmental regulation. The empirical results show that environmental regulation will have a negative impact on the investment efficiency of the listed manufacturing companies in the Beijing–Tianjin–Hebei region, causing the threshold of the impact of environmental regulation on investment efficiency to move from promotion to suppression. Finally, in accordance with the different scopes of the environmental regulation intensity of each manufacturing industry, the paper proposes reasonable suggestions for government departments in order to formulate environmental policies to improve the efficiency of enterprise investment.
Among theories dealing with welfare state policy development, theories of social dilemmas and of key actor‐group influence over government policy formation are increasingly holding sway. These theories emphasise that few would risk being unilateral contributors to the systems without any compensating elements. Thus, selective, means‐testing systems or stingy universal systems in which some citizens 'contribute' while others 'receive' may risk being regarded as unfair in the eyes of the contributors in spite of the redistributive intentions. The degree of welfare state programme 'fairness' and reciprocity would, then, explain the degree of support for the welfare state. However, by using data from the United Kingdom and Sweden, this article will, first, claim that the social dilemma research turns a blind eye to the fact that public opinion in general as well as key groups appears to be able to yield its support even when welfare states contain distinctly selective elements and low‐compensation universal programmes. Second, the article will elaborate on the confusion surrounding welfare state taxonomies as one plausible reason for why social dilemma theories may risk missing the target. Finally, the article will elaborate on the future of the welfare state as we know it. The main points are that given the fact that the welfare states in the two countries really already are conglomerates of different types of welfare programmes and, given a weak relationship between key groups and policy formation, the most likely future for the welfare state is that policies will continue to follow mixed paths.
The results leading to this publication have received funding from the Innovative Medicines Initiative 2 Joint Undertaking under grant agreement No 777394 for the project AIMS-2-TRIALS. This Joint Undertaking receives support from the European Union's Horizon 2020 research and innovation programme and EFPIA and AUTISM SPEAKS, Autistica, SFARI. The funders had no role in the design of the study; in the collection, analyses, or interpretation of data; in the writing of the manuscript; or in the decision to publish the results. Any views expressed are those of the author(s) and not necessarily those of the funders.
How does the organizational culture of local governments influence the type and extent of procedural justice in environmental policy processes? Using the culture theory developed by Mary Douglas and others, this research seeks to bring a new conception and new measures of organizational culture to the study of policy making by local governments. To contribute to the development of the conceptualization and measurement of procedural justice in the environmental policy processes of those governments, item response theory (IRT) graded response model (GRM) is used to show variations in difficulties and frequencies of adopting distinctive public participation strategies for improving procedural justice across local governments. In this study, original survey data is collected from Illinois municipalities and a finding is suggestive of cultural variables explaining the two dimensions of procedural justice, equal and authentic public participation, while other variables can, at best, explain only the equal public participation. Furthermore, as hypothesized, egalitarianism increases both equal and authentic public participation, individualism increases equal public participation, and fatalism decreases both.
This work presents the social apostolate in the province of Bética in the Contemporary Age, although with references to the rest of Spain. There are various stages or waves in which the Andalusian Jesuits take up this ministry with renewed strength, imbuing it with some novelty and maintaining previous legacies. This shows that, although the Society's interest in the world of the needy remains constant, in every place and time it seeks new expressions that move between welfare, educational and political work. ; Este trabajo presenta el apostolado social en la provincia Bética en la Edad Contemporánea, si bien con referencias al resto de España. En él se dan diversas etapas u oleadas en las que con fuerza renovada los jesuitas andaluces retoman este ministerio, impregnándolo de alguna novedad y manteniendo herencias precedentes. Así se muestra que, si bien el interés de la Compañía por el mundo de los necesitados es de siempre, en cada lugar y tiempo busca expresiones nuevas que se mueven entre labores asistenciales, educativas y políticas.
p. 7-20 ; Las redes sociales se suelen utilizar para expresar opiniones sobre diferentes aspectos de la sociedad, como productos, servicios, política, celebridades, etc. Empresas, organizaciones y gobiernos han mostrado su interés en conocer las opiniones que los usuarios tienen sobre sus actividades o productos. Además de determinar si una opinión es positiva o negativa, resulta interesante establecer cuál es el sentimiento o emoción manifestada en la opinión. Identificar la emoción que un usuario expresa en un mensaje textual puede entenderse como clasificar o categorizar el mensaje según sus características. En este trabajo, se desarrolló un método para clasificar textos breves u opiniones de la red social Twitter según la emoción que expresan. En primer lugar, fue necesario estructurar los textos descartando las partes irrelevantes y tratando de mantener la mayor cantidad de información posible. Luego se utilizaron técnicas de aprendizaje automático para la generación de un corpus de opiniones etiquetadas. Por último, se aplicó un método de clasificación por ponderación con diccionarios léxicos asociados a tres valores emocionales: valencia, activación y dominancia. Social networks are often used to express opinions on different aspects of society, products, services, politics, celebrities, etc. Companies, organizations and governments have shown interest in knowing what users think about their activities or products. In addition to determining whether an opinion is positive or negative, it is interesting to determine what the feeling or emotion expressed in the opinion is. Identifying the emotion that a user expresses in a textual message can be understood as classifying or categorizing the message according to its characteristics. In this work, a method was developed to classify short texts or opinions of the social network Twitter, according to the emotion they express. First, it was necessary to structure the texts by discarding irrelevant parts, but trying to keep as much information as possible. Then, automatic learning techniques were used to generate a corpus of tagged opinions. Finally, a method of classification by weighting was applied with lexical dictionaries associated with three emotional values: valence, activation and dominance. ; Fil: Monge, Agustina. Universidad Católica de Salta. Facultad de Ingeniería e Informática; Argentina. ; Fil: Amor Lisardo, Matias Nicolas. Universidad Católica de Salta. Facultad de Ingeniería e Informática; Argentina. ; Fil: Talamé, María Lorena. Universidad Católica de Salta. Facultad de Ingeniería e Informática; Argentina. ; Fil: Cardoso, Alejandra Carolina. Universidad Católica de Salta. Facultad de Ingeniería e Informática; Argentina.
One of the areas of policy research where randomized field trials have been utilized most intensively is welfare reform. Starting in the late 1960s with experimental tests of a negative income tax and continuingthrough current experimental tests of recent welfare reforms, randomized evaluations have played a strong and increasing role in informing policy. This article reviews the record of these experiments and assesses the implications of that record for the use of randomization. The review demonstrates that the usefulness of randomized field trials in the area of welfare reform has been limited by a number of weaknesses, some of which are inherent in the method and some of which result from constraints imposed by the politicalprocess. The conclusionis that randomizedfield trials have an importantbut limited role to play in future welfare reform evaluations and that it is essential that they be supplemented by nonexperimental research.
