Affective predictors of the effectiveness of training moderated by the cognitive complexity of expected competencies

Research in training, development and education (TD&E) in organizations has produced important results in the last two decades. Evaluation of TD&E has been a special focus of this research, which has resulted in the production of relevant predictive models. The present study has the aim of testing a model of effectiveness of training on work, with the trainee's motivation and satisfaction with training as the antecedent variables and the type of training as a moderator variable. Data collection with 600 participants in a Brazilian bank was conducted with measurement scales before training, at its end and three months later. The data were analyzed through structural equation modeling. The results indicate that the motivation of the trainee and satisfaction with training are predictors of its effectiveness on work and that the type of training affects this predictive relationship. The key feature of the type of training was the cognitive complexity of expected competencies.     

Forecasting core competencies in an R&D environment

This study, carried out in 1998, aimed to develop a method of forecasting core competencies in an agricultural research organization, using the Delphi Technique. First, based on a survey of internal documents and interviews, nine organizational core competencies and their specific components (human competencies) were defined, and expert judges identified. These judges responded to a questionnaire, in which the importance of the future human competencies was assessed and the organization's existing human capacity was evaluated. Means were calculated for both judgements and changes were made in various definitions, based on the experts' comments. Another questionnaire was designed and sent out to an expanded panel of judges to confirm or to revise the priority mean scores obtained or to add scores in the case of competencies that entered later. Factor analysis and reliability scores have demonstrated internal and inter‐competency consistencies. Technological Innovation Management and Geo‐processing appeared as the top priorities and Plant Pathology as the least priority. Priorities for each human competency were also calculated and they have been helpful for decision‐making concerning the selection and graduate training of researchers on the organization studied.     

A Case Study of Group Decision Method for Environmental Foresight and Water Resources Planning Using a Fuzzy Approach

Group decision-making (i.e., multi-expert) is an important subject in planning water resources. The inherent complexity and uncertainty of real world urge many experts to be involved in decision-making processes. This paper presents an application of the linguistic-label aggregation method in a real-life case study. The case was taken from a foresight exercise in Colombia (South America) concerning environmental and water resources planning in a river basin. The group decision-making problem is solved using a four-step approach based on (i) the evaluation of experts’ opinions, (ii) the aggregation of opinions for each alternative, (iii) fuzzy ranking, and (iv) final assessment. Two main issues that are new in our work is that we consider temporal linguistic labels and a fuzzy ranking procedure that is able to include the mean, the standard deviation, the fuzzy membership function and the frequency of experts’ opinions for each alternative. The approach is developed and implemented on a computational tool. Results show an efficient decision-making process, that is, the tool demonstrated to deal with shortest time frames and to increase the efficiency of the planning resources, mainly because allows the decision manager to focus on the establishment of criteria. The latter also leads to objectivity and eases the identification and discussion of elements of consensus in decisions that otherwise may be embedded in individuals’ interests.     

The impact of marketing systems on soil sustainability of agriculture in developing countries: a method and an application

This article is concerned with soil‐sustainability problems of agriculture in developing countries, in particular with soil erosion. The aim of our study is to develop a comprehensive model that explains the adoption of sustainable agricultural practices with respect to soil conservation. Our approach includes the following special features: (a) the model is comprehensive in that it includes a large number of institutional, personal–social, economic, and physical explanatory variables; (b) particular attention is paid to the influence of marketing systems on the adoption of sustainable agricultural practices, which to our knowledge has been neglected in past research; (c) the concept of adopting sustainable agricultural practices (ASAP) is differentiated into a limited number of basic components of soil conservation; and (d) the model is estimated by Principal Component Regression, which enhances efficient estimation of the impact of many explanatory variables on ASAP. Our model is applied to Cabuyal hillside farming in Colombia. The application demonstrates the usefulness of the proposed model. ASAP is differentiated into three basic components: soil‐disturbance control, soil‐protection practices, and run‐off control. It appears that soil‐disturbance control is particularly influenced by farmers' characteristics, such as education and managerial variables. The second component, soil‐protection practices, appears to be strongly influenced not only by farmers' managerial variables but also by their relationship with their environment, in particular marketing institutions. The third soil‐conservation component, run‐off control, is influenced by the physical characteristics of the plot and by the available farm labor. Our empirical results demonstrate the usefulness of the proposed model in designing agricultural policies, because it can determine which variables are more likely to influence the adoption of a specific type of soil conservation.     

Veblen’s Imperial Germany and the Industrialization of Latin America

Veblen’s Imperial Germany is a theory of development and industrialization, and the role the business enterprise played in these processes. Through a reassessment of Veblen’s Imperial Germany, this paper explores the main aspects that Veblen considered about the industrialization of England and Germany, deriving theoretical implications for the preconditions of a successful industrialization and development, based on an evolutionary Institutional perspective. Veblen’s analysis is then used to analyze the current state of the industrialization of Latin America, evaluating the last two decades since the 1990s, and comparing the orthodox approach, the neostructural view and the Veblenian perspective, arguing for the validity of a policy framework not reduced only to targeted protectionism but emphasizing the necessity of generating the institutional preconditions suggested by Veblen in his seminal work.     

Job Creation and Destruction in South Africa

Analysts of the South African labour market have mainly used household surveys to analyse the labour market. It has been more difficult to explore the labour demand of firms, as a result of limited data availability. We use the Quarterly Employment Statistics survey, an enterprise survey conducted by Statistics South Africa, to explore how South African firms create and destroy jobs, thereby shedding light on many of the policy questions that are relevant in a high unemployment society like South Africa. We find that job creation and destruction rates are similar to those found in Organisation for Economic Co‐operation and Development countries. There is little evidence that labour legislation creates rigidities that prevent firms from hiring or firing workers. We also find that larger firms are better net creators of jobs than small firms and that net job creation rates are negative in manufacturing. Our research has important policy implications – particularly for the South African National Planning Commission's 2030 plan, in which new jobs are envisaged to come mainly from small‐ and medium‐sized firms. Our research suggests that this scenario is not likely without changes to policy or legislation.     

Labour control regimes in the rural and urban workplaces of global production networks: The coffee case of Colombia

This study analyses the local labour control regimes (LCRs) in the workplaces of global production networks. Using the ethnographic approach, it examines the control strategies utilized by several stakeholders in coffee production and consumption sites in Colombia. The results demonstrate that transformations in the value chains have changed LCRs due to neoliberal openness and new consumption trends, which led to the creation of exploitation, discipline, and mobilization of labour practices. Rural production occurs in farms with predominant piecework and daily payment, where women play traditional roles that render their contributions invisible and undervalued. Employment in urban cafeterias includes stable and flexible contracts with low wages, increased activities, and supervision. Both situations link productive and reproductive work. Under these scenarios, employees manage various levels of negotiation, response, and endurance.