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The primary objective of this study is to test whether gender differences in job satisfaction are assignable to variations in labour market and welfare state regimes in the light of gender‐related labour market modernization.

Using data derived from the European Household Community Panel (EHCP) and covering 14 member states of the European Union the study constructs a series of summary statistics to lay the foundation for the analysis. An ordinary ordered‐probit regression model is employed to test for the (non‐) emergence of a gender‐job satisfaction paradox.

The results suggest that objective (socio‐economic and institutional) determinants of labour market status and subjective (assessed and evaluated) perspectives are mutually complementary. The more restrictive the labour market access and process is for women, the more likely a gender‐job satisfaction paradox is to emerge in any country. Equal opportunities for women and men (such as those observed in Scandinavian countries) indicate that the gender‐job satisfaction paradox does not appear anymore due to a fading‐out process over past decades, which was driven by appropriate institutional labour market interventions.

The gender‐job satisfaction paradox was confirmed for the UK, whereas little has been done to test this hypothesis on a cross‐national basis. This investigation thus fills the gap in the empirical literature.

This paper aims to present the IZA Evaluation Dataset, a newly created data source allowing for the evaluation of active labor market policies in Germany.

The paper's approach is a description of the sampling and contents of the IZA Evaluation Dataset and an outline of its research potential.

The evaluation of active labor market policies is often confronted with a lack of adequate empirical data. The IZA Evaluation Dataset may serve as a role model for the provision of such data.

The scope of active labor market policy instruments that can be analyzed with the IZA Evaluation Dataset is mainly restricted to measures for unemployed individuals.

In recent years, many countries have opened their administrative databases for evaluation studies. However, information that might be relevant for economic modeling is often absent. The IZA Evaluation Dataset aims to overcome such limitations for Germany by complementing administrative data from the Federal Employment Agency with innovative survey data.

The purpose of this paper is to explain the rationale and potential for the WHO health promoting schools (HPS) to improve children ' s oral health, and describe validated quantitative methodologies and qualitative approaches to measure program impact.

Critical discussion of the impact of poor oral health and potential for school-based educational intervention, and evaluation methodologies used by the authors.

Using HPS to improve oral health is relevant because dental caries and gingivitis/periodontitis negatively impact children ' s health and quality of life worldwide. WHO has called for effective community-based oral health promotion programs; intervention is simple and low cost; robust evaluation measures exist – the decayed missing filled teeth index and change in cavity rate allow quantitative comparison of oral health status; and questionnaires document changes in knowledge, practices, diet, health-related quality of life, and pain.

Poor oral health is a major health issue. Established measures to improve oral hygiene offer an achievable, low-cost HPS entry point; the “knowledge” and “healthy practices” components central to the WHO HPS model are tried and tested and multiple potential benefits are documented. Poor oral health is a non-stigmatized issue, hence intervention is readily accepted, and effective evaluation tools provide evidence of program effect over a short (two to three years) timeframe.

Oral health promotion is more affordable and sustainable than the cost of traditional restorative treatments especially in middle- and low-income countries. Success with oral health leads to confidence for expansion of HPS activities to address other health issues relevant to the school community.

Nobody concerned with political economy can neglect the history of economic doctrines. Structural changes in the economy and society influence economic thinking and, conversely, innovative thought structures and attitudes have almost always forced economic institutions and modes of behaviour to adjust. We learn from the history of economic doctrines how a particular theory emerged and whether, and in which environment, it could take root. We can see how a school evolves out of a common methodological perception and similar techniques of analysis, and how it has to establish itself. The interaction between unresolved problems on the one hand, and the search for better solutions or explanations on the other, leads to a change in paradigma and to the formation of new lines of reasoning. As long as the real world is subject to progress and change scientific search for explanation must out of necessity continue.

This study examines how consumer involvement with apparel influences perceptions of an apparel product (T‐shirt) presented in a print advertisement. Consumer involvement with apparel was examined in relation to three advertisement response concepts: attitude toward the advertisement, product attribute beliefs, and product attitude. Also as part of the study, three dimensions of apparel involvement were tested (fashion, comfort, and individuality). Finally, an advertising processing model that integrates apparel involvement with the three advertisement response concepts was tested. A convenience sample of students attending a midwestern university in the USA participated in data collection. Respondents were presented with a full‐page advertisement for a fictitious brand of apparel and answered items on the questionnaire. Findings confirmed that dimensions of apparel involvement shaped consumer attitudes. A combination of apparel involvement dimensions (fashion, individuality, and comfort) influenced consumer beliefs about product attributes in the advertisement. In terms of gender differences, the comfort variable showed to be a stronger component of apparel involvement for men and women tended to be more involved in fashion. Findings also supported relationships among advertisement response variables previously tested by scholars. Product attribute beliefs and ad attitude were significant in product attitude formation.

This paper examines the effects of advertising type and antecedents of attitude towards advertising in general (AG) on individuals' responses to advertising in a sports broadcast setting. Both AG antecedents and advertising type were assessed using Brackett and Carr's (2001) model. Our results indicate that individual responses to advertising vary according to the type of advertising (television commercials, virtual ads by location).

The purpose of this paper is to explore how rating mechanisms encourage emotional labor norms among sharing economy consumers.

This study follows a mixed-methods research design. Survey data from 207 consumers were used to quantify the impact of three distinct rating dimensions on a consumer behavioral outcome (emotional labor). In the second step, 18 focus groups with 94 participants were used to investigate the conditioning functions of ratings in more depth.

Rating mechanisms condition consumers toward performing socially desirable behaviors during sharing transactions. While consumers accept the necessity of bilateral rating mechanisms, they also recognize their coercive nature. Furthermore, the presence of bilateral rating mechanisms leads to negative outcomes such as annoyance and frustration.

This study contributes to sharing economy literature by examining bilateral rating mechanisms as a means of behavioral conditioning for consumers. This study points to improvements in platform design and informs theory on tripartite markets as well as trust.

The purpose of this paper is to explore consumers’ responses to emotional and normative communication in comparison with traditional informational campaigns promoting pro-environmental behavior in the context of biodiversity. By adopting the approach of likeability of the communication, the paper identifies which type of communication strategy is liked by consumers’ and which dimensions define likeability in the context of biodiversity. The goal is to improve the effectiveness of communication messages delivered by social marketers or public policy makers through a better understanding of consumers’ responses to different communication strategies.

To investigate which communications strategies are perceived as likeable in the context of promoting biodiversity and to explore the dimensions that underlie likeability of the communication a qualitative study was conducted. First, the information design with the different communication strategies has been developed. Second, focused interviews with 25 individuals have been conducted.

Results indicate that communication strategies using positive emotions led to most favorable responses. Further, findings suggest that informational strategies seem to result in positive attitudes when they tap on procedural knowledge. Favorable judgments are linked with communication strategies that create awareness or which are relevant and informative.

Further empirical research is suggested exploring consumers’ responses to communication strategies that combine emotions and facts.

Based on the findings of this study, social marketers and public policy makers are recommended to use a combination of communication strategies that evoke positive emotions and provide consumers with the facts necessary to take action.

The paper allows for an integrated view and contributes to an increased understanding of responses to communication strategies and provides valuable practical implications for social marketers and public policy makers.

The purpose of this paper is to analyse the determinants of small and medium-sized enterprises’ (SMEs) propensity to export using data from a North African country, namely Algeria. Drawing on the extended resource-based view, the study examines the role of firms’ resources and capabilities in explaining the probability to export.

The study employs the nascent fuzzy c-means clustering technique to analyse a sample of 208 Algerian SMEs. The sample included both established and potential exporters operating across various sectors. A combination of online and face-to-face methods was used to collect the data.

While a preliminary analysis established the existence of five clusters exhibiting different levels of resources and capabilities, further discernment of these clusters has shown significant variances in relation to export propensity. In short, clusters exhibiting combinations that include higher levels of export-oriented managerial resources showed greater export propensity, whereas clusters lacking such assets were less likely to display high export propensity, despite superior capabilities in marketing and innovation.

The findings provide a more comprehensive insight on the critical resources shaping SMEs’ internationalisation in the North African context. The paper holds important implications for export promotion policy in this area.

The study makes a twofold contribution. First, the use of the fuzzy c-means clustering technique to capture the joint influence of discrete resources and capabilities on SMEs’ export propensity constitutes a methodological contribution. Second, being the first study bringing evidence on SMEs’ internationalisation from the largest country in the African continent, in terms of landmass, constitutes an important contextual contribution.

Cost transparency is of central importance to reach a consensus between supply chain partners. The purpose of this paper is to contribute to the instrument of cost analysis which supports the link between buyers and suppliers.

Based on a detailed literature review in the area of cost analysis and purchasing, intelligent decision support systems for cost estimation are identified. Subsequently, expert interviews are conducted to determine the application possibilities for managers. The application potential is derived from the synthesis of motivation, identified applications and challenges in the industry. Management recommendations are to be derived by bringing together scientific and practical approaches in the industry.

On the one hand, the results of this study show that machine learning (ML) is a complex technology that poses many challenges for cost and purchasing managers. On the other hand, ML methods, especially in combination with expert knowledge and other analytical methods, offer immense added value for cost analysis in purchasing.

Digital transformation allows to facilitate the cost calculation process in purchasing decisions. In this context, the application of ML approaches has gained increased attention. While such approaches can lead to high cost reductions on the side of both suppliers and buyers, an intelligent cost analysis is very demanding.