Percorrer por tipo de recurso "review article"
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- Green Human Resource Management and ISO 14001: Toward Environmental Sustainability in OrganizationsPublication . Ortega, Eduardo; Coelho, Arnaldo; Ribeiro, NeuzaThe current climate change scenario imposes urgent challenges to different economic sectors around the world, requiring companies to adopt new strategies to achieve sustainable development goals (SDGs) while enhancing environmental awareness. In this sense, green human resource management (GHRM) and International Organization for Standardization (ISO) 14001 can lead to a reduction in the environmental impact caused by business activities. The growing need for decision-makers to ensure a company's competitive position in the market invites managers to integrate people management as an active component of corporate sustainability efforts. By demonstrating a commitment to sustainability, companies can contribute to economic growth, individual well-being, and environmental preservation. The purpose of this study is to analyze current knowledge on GHRM and ISO 14001 and their intersection, providing directions for future research. The literature review was conducted using the PRISMA methodology and bibliometric analysis (performance analysis and scientific mapping) with data from Web of Science and Scopus. The final dataset comprised 520 articles on GHRM and 12 about GHRM and ISO 14001. The results show the growth of the topics in the academic community, especially in countries located in East, South, and Southeast Asia and in Brazil. The most studied economic sectors are tourism, hospitality, and manufacturing. Future research trends indicate a greater inclusion of people in the corporate ecological objectives of different economic activities. The integration of GHRM and ISO 14001 seems to help mitigate climate change and promote sustainable development. The conclusions highlight the importance of implementing GHRM, especially in ISO 14001 organizations, to obtain the active participation of employees in environmental preservation. These ecological practices seem to strengthen the company's image, making it more attractive and helping them to retain talent. This study provides insights for academics, professionals, and policymakers and is a pioneering study in investigating two themes simultaneously.
- Identifying the impact of stakeholder and top management support on shaping environmental innovation, green product development, and environmental performance in Brazil and Portugal’s plastics industryPublication . Curth, Marcelo; Marques, Alzira Maria Ascensão; Dantas, Ítalo José de MedeirosThis paper aims to identify the influence of stakeholders and top management support on environmental innovation strategy, green product innovation, and environmental performance in the context of the plastics industry of Brazil and Portugal. Methodology/approach: For the research, a survey was conducted with 94 companies in the industry, using the Partial Least Square (PLS) for data analysis. Originality/relevance: The study contributes fill the gaps in the influence of top management and external actors on sustainability-related strategies and in- novations in companies in the plastics industry in Brazil and Portugal. Main findings: The results demonstrated that the stakeholders’ pressure and top management support positively influence the environmental innovation strategy of green products, and both innovations influence the environmental performance of companies in the Portuguese and Brazilian plastics industries. Theoretical contributions: The implications emphasize the impact of external elements and companies that influence environmental sustainability, enabling greater quality of life and sustainability on a global scale. Management contributions: The practical implications of the results emphasize the need for alignment between top management and the stakeholders for strategies and innovations linked to sustainability.
- Innovation dynamics within the entrepreneurial ecosystem: a content analysis-based literature reviewPublication . Kumar, Rishi Kant; Pasumarti, Srinivas Subbarao; Figueiredo, Ronnie Joshe; Singh, Rana; Rana, Sachi; Kumar, Kumod; Kumar, PrashantEntrepreneurial ecosystems (EEs) delineate concepts from varied streams of literature originating from multiple stakeholders and are diagnosed by different levels of analysis. Taking up a sample of 392 articles, this study examines how innovation fosters the emergence of self-operative and self-corrective entrepreneurial ecosystems in the wake of automatic market disruptions. It also finds that measures lending vitality and sustainability to economic systems across the world through a mediating role played by governments, along with synergies exhibited by academia and “visionpreneurs” at large, give rise to aspiring entrepreneurs. The study also aligns past practices with trending technologies to enrich job markets and strengthen entrepreneurial networks through spillover and speciation. The research offers valuable insights into entrepreneurial ecosystems’ practical policy implications and self-regulating mechanisms, and it suggests that governments overseeing these entrepreneurial ecosystems should identify and nurture the existing strengths within them. Additionally, entrepreneurial ecosystems can benefit from government support through subsidies and incentives to encourage growth. In collaboration with university research, specialized incubation centers can play a pivotal role in creating new infrastructures that foster current and future entrepreneurial development.
- Managing Data in Screening Programs: Challenges and SolutionsPublication . Monteiro, Hugo; Oliveira, Mariana; Martinho, Ricardo; Martins, CarlosPopulation-based screening programs are vital public health initiatives that enable the early detection of diseases, significantly reducing both morbidity and healthcare costs. As these programs expand, the management of the extensive data they generate becomes increasingly complex, highlighting the need for structured digital solutions. This narrative review article presents a pragmatic framework aimed at clarifying big data analytics tailored to the needs and practices of healthcare professionals and administrators, focusing on effective integration into routine screening workflows. To achieve effective data utilization, the process begins with systematic archiving, which involves cloud-based storage solutions capable of securely maintaining various data formats in compliance with regulatory standards, thus ensuring long-term accessibility and continuity. Subsequent real-time processing of screening data facilitates rapid decision-making and patient management by providing immediate validation and analysis, essential for maintaining the responsiveness of screening services. Transformation processes play a critical role in converting diverse data inputs into standardized, consistent formats, enabling seamless communication and exchange among multiple healthcare systems. Integration further builds upon this standardization, merging data from different healthcare providers and diagnostic centers into centralized analytical platforms. This unified approach enables comprehensive patient monitoring and supports predictive modeling for early identification of at-risk individuals. Advanced analytics, particularly process mining and predictive techniques, reveal inefficiencies within screening workflows, highlighting areas needing improvement. These methods help healthcare managers to streamline operations, optimize resources, and enhance overall program performance. Real-time visualization tools provide administrators with continuous, practical insights into operational dynamics, despite existing challenges related to data governance and system interoperability. This article illustrates these concepts through concrete examples from the colorectal cancer screening program in Northern Portugal and the response to the COVID-19 pandemic. The colorectal cancer screening scenario demonstrates how structured data management significantly boosts operational efficiency and healthcare accessibility. Meanwhile, the COVID-19 experience highlights the importance of having flexible digital infrastructures capable of quickly adapting to unexpected crises. Finally, ongoing investments in digital infrastructure, professional training, and comprehensive data governance are crucial for sustaining these improvements. This review provides clear, actionable knowledge to support healthcare professionals in adopting big data analytics effectively within preventive healthcare programs.
- Process Mining for IS Project Management: A Systematic Literature ReviewPublication . Pedrosa, Joana; Magalhães, Luis Gonzaga; Martinho, RicardoRecently, process mining techniques have been used to discover, analyze, and improve business processes' performance, including project management processes conducted in IS projects. In this literature review, 383 documents were found and 59 were selected as relevant in the use of process mining for project management. These works were categorized according to the eight project performance domains presented by the Project Management Body of Knowledge. Approximately 50% were associated with the development approach and life cycle domain, in contrast to only 3% associated with the stakeholder domain. In addition to this review, other reviews were identified that explored the same theme but with an emphasis on agile software development. The process mining discovery techniques were the most applied in this context. The findings from the review suggested a gap in the literature regarding the correlation between process mining and IS project success.
- Quality of life of women with urinary incontinence in the postpartum period: an integrative literature reviewPublication . Lopes, Filipa Daniela; Henriques, Carolina; Lopes, Maria da Saudade; Mendes, Isabel MargaridaUrinary incontinence (UI) during pregnancy and after childbirth can negatively impact women's lifestyles, health, and well-being. It is a common problem that is often normalized by both healthcare professionals and women. This integrative review examines the influence of UI on women's quality of life (QoL) during the postpartum period and identifies the main affected domains. It will also contribute to the discussion of the results of a primary study. Fourteen studies were included in this review, mainly from Brazil and Spain, with most using quantitative methods. The findings indicate that UI negatively affects the QoL of women during the postpartum period, with mixed UI causing greater discomfort despite stress UI being more frequent. The main affected domains are general health perception, physical functioning, daily life activities, psychological/emotional/mental and social aspects, and sexuality. Effective interventions should promote women's self-care and enhance their awareness and recognition of the problem. These interventions should go beyond physical aspects to address emotional and psychological dimensions, such as low self-esteem and self-image, secrecy, embarrassment, and reluctance to seek help. Nurse midwives have specialized skills and can work within multidisciplinary teams to improve the QoL of women with UI at a time of increased vulnerability.
- Recent Developments on Hybrid Time-Frequency Numerical Simulation Techniques for RF and Microwave ApplicationsPublication . Jorge F. Oliveira; Oliveira, Jorge F.This paper reviews some of the promising doors that functional analysis techniques have recently opened in the field of electronic circuit simulation. Because of the modulated nature of radio frequency (RF) signals, the corresponding electronic circuits seem to operate in a slow time scale for the aperiodic information and another, much faster, time scale for the periodic carrier. This apparent multirate behavior can be appropriately described using partial differential equations (PDEs) within a bivariate framework, which can be solved in an efficient way using hybrid time-frequency techniques. With these techniques, the aperiodic information dimension is treated in the discrete time domain, while the periodic carrier dimension is processed in the frequency domain, in which the solution is evaluated within a space of harmonically related sinusoidal functions. The objective of this paper is thus to provide a general overview on the most important hybrid time-frequency techniques, as the ones found in commercial tools or the ones recently published in the literature.