Search results

This study relied on the job demands and resource model to understand employees’ turnover intentions. Recent studies have consistently lent support for the significant association between role ambiguity and turnover intentions; however, only a handful of studies focused on examining the potential mediators in this association. The authors argued that role ambiguity positively influences turnover intentions through affective mechanisms: job involvement and satisfaction.

To test the model, a large sample of working adults participated (N = 505).

Structural equation modeling results showed that role ambiguity, job involvement and job satisfaction were significantly associated with turnover intentions. Moreover, a serial mediation was found among the variables: employees with low levels of role ambiguity tended to report higher job involvement, which further increased their satisfaction with the job and subsequently decreased their turnover intentions.

The cross-sectional design is a limitation.

Practical suggestions regarding how organizations can reduce employee turnover are discussed.

The findings provide support for theory-driven interventions to address developing the intention to stay at work among working adults.

The aim of this article is to contribute to the field of social businesses, particularly considering the dimension of social innovation.

The authors adopted a qualitative approach, whose purpose is to gather in-depth insights into a problem to understand its contextual elements and interrelations. The authors used an exploratory descriptive design and a multiple case study, which allows the identification of similarities and differences in the research subjects. They developed a scale that enables the classification of the operation logic of the social businesses analyzed.

It became evident that social businesses present a few differences in their modus operandi: those based on a social logic are more concerned with the generation of socio-environmental value, however with small-scale innovation; in contrast, social business guided by a market logic do not intend to generate socio-environmental value in different dimensions and are more concerned with the wider range of their innovations.

This research analyzed social businesses from a founder and manager perspective and did not comprise all stakeholders. The purpose of this study was not to measure the effective impact generated by innovation, but to understand its potential to generate socio-environmental value.

The generation of socio-environmental value and the strategies to expand practices of social innovation are associated with the operation logic of social business.

The created scale allowed the classification of social businesses in terms of operation logic (greater emphasis on market or social aspects) and proposes a few dimensions to evaluate a socio-environmental innovation.

This paper investigates the literary corpus on the role of intellectual capital (IC) for the sustainable and innovative development of organisations. It provides a quantitative overview of the academic literature that constitutes this field. The paper discusses whether IC, through the implementation of knowledge management (KM) processes, can influence the entrepreneurial orientation (EO) towards the creation of sustainable business models (SBMs), which are outlined in the Sustainable Development Goals (SDGs) 2030 agenda and adopted by all United Nations member states in 2015.

Based on a database containing 45 publications in the English language with a publication date from 1990 to 2019 (October), a bibliometric analysis was conducted. Data on publications, journals, authors and citations were collected, re-checked and examined by applying bibliometric measures.

The bibliographic analysis identified that the research published on IC in the perspective of sustainability focusses mainly on the measurement of results, in terms of increased business performance. The results show that the IC is linked to the concept of long-term value. Therefore, the development potential of the IC is linked to the 2030 agenda for sustainable development (SD). These results also provide a framework for the literature on IC and SDGs by highlighting the connection with the EO to develop SBMs.

This paper contributes to the literature on IC as a driver for SD. In more detail, it provides a systematic review of the literature on these topics under the umbrella of the SDG perspective.

Adolescent pregnancy stands as a societal challenge, compelling young individuals to prematurely discontinue their education. Conversely, an expansion of high school education can potentially diminish rates of adolescent pregnancy, given that educational attainment stands as the foremost risk factor influencing sexual initiation, the use of contraceptive methods during initial sexual encounters and fertility. The aim of this paper is to analyze the impact of the implementation of the public educational policy introducing full-time schools (FTS) for high schools in the state of Ceará, Brazil, on early pregnancy rates.

Using the difference-in-differences method with multiple time periods, we measured the average effect of this staggered treatment on the treated municipalities.

The main result indicates a reduction of 0.849 percentage points in the teenage pregnancy rate. Concerning dynamic effects, the establishment of FTS in treated municipalities results in a 1.183–1.953 percentage point decrease in teenage pregnancy rates, depending on the timing of exposure. We explored heterogeneous effects within socioeconomically vulnerable municipalities, yet discerned no impact on this group. Rigorous tests confirm the robustness of the results.

This paper aims to contribute to: (1) the consolidation of research on the subject, given the absence of such research in Brazil to the best of our knowledge; (2) the advancement and analysis of evidence-based public policy and (3) the utilization of novel longitudinal data and methodology to evaluate adolescent pregnancy rates.

This chapter addresses the profession of research management and administration (RMA) in Portugal. It starts with a brief outline of the national research and innovation (R&I) ecosystem that contextualises the development of the profession. The RMA community is characterised and the expectations for the future of the RMA profession are summarised using data collected through a national online survey. It is posited that RMA in Portugal is an emergent career having developed key traits of a profession, namely common interests and practices, a concern with deepening specialised knowledge and skills, the existence of an organised network of practitioners, the offer of academic qualifications and training in the area, and the integration in international RMA communities of practice. Nevertheless, future developments in the European Research Area (ERA) are identified as a critical milestone that will influence the development and formal legislative institutionalisation of the RMA profession in Portugal.

The current paper aims to discuss the implementation of Green Lean Six Sigma (GLSS) in the food industry to improve sustainable practices. The focus is more specifically on dairy processors to ascertain the current state of the literature and aid future research direction.

Utilising a systematic literature review (SLR), the paper addresses various terms and different written forms in the literature. The study characterises the current deployment of GLSS in the food industry and explains the reported benefits of this approach.

GLSS, a concept that has yet to be fully explored in the food industry, as in other sectors, holds significant potential to enhance the food industry’s sustainability practices. The dairy sector, a subsector of the food industry known for its high greenhouse gas emissions, is a prime candidate for the application of GLSS. In instances where it has been applied, GLSS has demonstrated its effectiveness in improving sustainability, reducing waste, lowering greenhouse gas emissions and minimising water usage. However, the specific tools used and the model for GLSS implementation are areas that require further study, as they have the potential to revolutionise food industry operations and reduce their environmental impacts.

Benchmarking of this research by the food industry sector and by academics can aid understanding of the practical application of GLSS tools and aid implementation of these practices to evolve the dairy processing sector in the next decade as sustainability champions in the sector.

This study extensively analyses GLSS in the food industry, with a particular focus on dairy processors.