Population growth and economic development

The paper deals with the relationship between the population growth and economic development in Yugoslavia and its republics, covering the period after the Second World War. Yugoslavia is a developing country with a specific demographic and economic structure which makes her unique in Europe. Its territory is comprised of both relatively developed regions where demographic transition is over, and underdeveloped regions with high natural increase of population where the demographic transition is only just beginning. Correlation and regression methods were used to quantify this relationship. The economic development and structural changes are discussed, relating to human factor. An adequate population policy through family planning is stressed as important in obtaining an increased return to scale with a more positive role of demographic factor.     

Sense of coherence and social support – Resources for subjective well-being and health of the aged in Finland

In this study we explored if the psychological and social resources of aged people (over 75 years) in Finland predict their subjective well-being and experienced state of health (n = 348). Data were taken from a larger Finnish survey on living conditions. Based on previous research on younger people we formed a model where morbidity, experienced quality of social support and sense of coherence together with economic resources are the predictors of both experienced state of health and subjective well-being. LISREL (8) path analysis was used to test the model. The model providing the most parsimonious explanation of the data suggested that a strong sense of coherence and high experienced quality of social relationships are strongly related to subjective well-being. Experienced state of health was associated with morbidity and subjective well-being, but there was no significant relationship between subjective well-being and morbidity.     

On predictive distributions and Bayesian networks

In this paper we are interested in discrete prediction problems for a decision-theoretic setting, where the task is to compute the predictive distribution for a finite set of possible alternatives. This question is first addressed in a general Bayesian framework, where we consider a set of probability distributions defined by some parametric model class. Given a prior distribution on the model parameters and a set of sample data, one possible approach for determining a predictive distribution is to fix the parameters to the instantiation with the maximum a posteriori probability. A more accurate predictive distribution can be obtained by computing the evidence (marginal likelihood), i.e., the integral over all the individual parameter instantiations. As an alternative to these two approaches, we demonstrate how to use Rissanen's new definition of stochastic complexity for determining predictive distributions, and show how the evidence predictive distribution with Jeffrey's prior approaches the new stochastic complexity predictive distribution in the limit with increasing amount of sample data. To compare the alternative approaches in practice, each of the predictive distributions discussed is instantiated in the Bayesian network model family case. In particular, to determine Jeffrey's prior for this model family, we show how to compute the (expected) Fisher information matrix for a fixed but arbitrary Bayesian network structure. In the empirical part of the paper the predictive distributions are compared by using the simple tree-structured Naive Bayes model, which is used in the experiments for computational reasons. The experimentation with several public domain classification datasets suggest that the evidence approach produces the most accurate predictions in the log-score sense. The evidence-based methods are also quite robust in the sense that they predict surprisingly well even when only a small fraction of the full training set is used.     

Putting Process (Back) In: Research on the Internationalization Process of the Firm

This paper provides a critique of existing research on the internationalization process of the firm and proposes an agenda for future inquiry. In recent years, process approaches have received increasing attention in management research, leading to a more refined understanding of the distinction between process and variance paradigms. We apply a process lens to a well‐established sub‐field of international business, namely the internationalization process of the firm. We review how this research tradition has evolved over four decades. The review commences with a reassessment of the seminal ‘stage models’ that date back to the 1970s. It then proceeds to classify subsequent research on the basis of whether it includes process data and/or process theorizing. It is found that the majority of studies in this review do not combine process data with process theorizing. We show how, even in studies that contain some process elements, a process approach is not always sustained throughout the paper. On the basis of this review, six research themes are proposed, which would form the basis for a process agenda for future research.     

On MLEs of the parameters of a modified Weibull distribution based on record values

The modified Weibull distribution can be used quite effectively to model complex data from mechanical engineering or survival analysis studies that posses a monotonic or a bathtub-shape hazard rate. In this paper, we study the MLEs of the parameters of a modified Weibull distribution model in the presence of upper kth record values. The existence and uniqueness of the MLEs are proven in this case. Real data analysis is performed for illustrative purposes.     

Self-Stigma of seeking help and job burnout in mental health care providers: the comparative study of Lithuanian and the USA samples

This study aimed to explore the correlation between job burnout and self-stigma of seeking help among nonmedical mental health care providers (psychologists, social workers, and counselors) in two countries – Lithuania and the US. The study included 234 professionals (111 social workers and 123 psychologists) from Lithuania and 93 professionals (33 counselors, 23 social workers, and 37 psychologists) from the US on a voluntary basis (93% females, mean age – 39.81?years). They completed a self-reported questionnaire with the Self-Stigma of Seeking Help Scale (SSOSH) and the Maslach Burnout Inventory-General Survey (MBI-GS). The results revealed a statistically significant positive correlation between self-stigmatization and burnout in the Lithuanian sample, but only weak positive correlation between depersonalization and self-stigma of seeking help in the US sample. The relationship between the self-stigma of seeking help and burnout was stronger in the Lithuanian sample of professionals when compared to their colleagues in the US.     

The Impact of Cultural Events on Community Reputation and Pride in Maribor,The European Capital of Culture 2012

Social Indicators Research - This paper examines the cultural and social impacts of the European Capital of Culture (ECOC) on the case of the Slovenian city Maribor, the cultural capital of Europe...     

Gender-related factors in family business succession: a systematic literature review

Review of Managerial Science - Succession is one of the most discussed topics in family business research. However, despite the changing professional and family roles of women and the growing...     

The relationship between reputation,employer branding and corporate social responsibility

Reputation management requires coordination between internal understanding and external expectations (Cornelissen, 2011). The focus of this study were external expectations of potential employees. The main goal of the study was to contribute to the understanding of corporate reputation and its connections with perceived corporate social responsibility and employer brands. All three concepts were investigated amongst 550 senior college business students. The units of analysis were top twenty national organizations, rated according to a syndicated study on employer attractiveness. The results show that students assign good reputation to those organizations that are perceived as socially responsible and with a good employer brand. Reputation, at least according to our results, seems to be the umbrella concept that encompasses both perceived corporate social responsibility and perceived employer brands. Organizations that develop different strategies, policies and practices with regards to socially responsible behavior and nurturing employer brands have higher levels of perceived reputation among students. Additionally, students' perceptions and position on the list of the most attractive employers is consistent.