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This study aims to conduct a pertinent assessment of the concept of business competitiveness and how Portugal can progress in that field, for the sake of becoming a more sustainable and wealth-creator economy.

The research was elaborated with 65 in-depth interviews with expert persons from the Portuguese business ecosystem, who were asked to reflect on the state of the economy and competitiveness of the country.

There is much room for improvement in almost all areas of activity, in particular by promoting an innovative, value-adding and exporting private sector and a lighter and more efficient public sector. The conclusions point to modernisation of the Portuguese economy as a way of making it more competitive in a highly competitive and demanding global scenario.

To the best of the authors’ knowledge, it is the first time that a reflection with experts of the local Portuguese economy has been carried out, especially after a difficult period of COVID.

Considering lean thinking inside and beyond the organisation's boundaries, in the extended supply chain, this paper aims to fill a literature gap clearly stating some outsourcing practices as lean practices and establishing a deployment evolution parallel between both practices.

A literature review was carried out collecting cases of lean deployment in healthcare, from both scientific and grey literature. Cases were classified according to lean deployment taxonomy in healthcare settings, showing some differences in lean journey stages in 15 countries.

There is an alignment between SCM thinking in healthcare and lean thinking that places a SCM decision as outsourcing as a lean practice serving not only strategic intent but solving operational efficiency. There is a match between different outsourcing drivers (transactional, strategic and transformational) and lean maturity levels. The main constraint to deployment of both lean and outsourcing practices are cultural differences.

Understanding lean and outsourcing different deployment maturity levels under the national cultural umbrella can open new perspectives to study lean sustainability factors and better outsourcing relationships in healthcare organisations.

This paper presents a merger between the state‐of‐the art of both lean and outsourcing practices in healthcare settings and suggests an outsourcing and lean evolving pathway.

Understanding how VMI benefits serve lean purposes in healthcare and why its outcomes can be difficult to achieve in healthcare settings is the main purpose of this study.

An in‐depth case study of VMI is presented in the perspective of the downstream member, a public general multi‐site hospital, operating as a small scale consolidated service centre in terms of material management, exploring such dimensions as: VMI benefits, risks, barriers and enablers.

Despite some unawareness of VMI benefits in healthcare, it can present a waste reduction solution not only in costs but in the quality of care for freeing clinical professionals to clinical tasks, among other savings. The multiple benefits are better explored, as in any relationship building, by investing in partnership creation and overcoming the idiosyncratic barriers of the healthcare sector.

Although findings of a single case study are difficult to generalize, the protocol and methodology presented allow replication in other units of analysis with the same inclusion criteria.

This paper brings the lean deployment discussion out of the organization's boundaries, showing the interconnections and pointing to the need for future work that would allow healthcare managers to build a lean supply chain.

By considering VMI an outsourcing alternative, this paper identifies the lean thinking intent behind such options and enhances the idiosyncratic difficulties in full deployment in the healthcare sector, a less studied setting.

This paper aims to review the latest management developments across the globe and pinpoint practical implications from cutting-edge research and case studies.

This briefing is prepared by an independent writer who adds their own impartial comments and places the articles in context.

Portugal must strengthen its public sector, remove bureaucratic burdens, stimulate the local economy, and collaborate with foreign stakeholders.

The briefing saves busy executives, strategists and researchers hours of reading time by selecting only the very best, most pertinent information and presenting it in a condensed and easy-to-digest format.

This paper aim to propose a methodological mapping approach for the evaluation of dissertations and theses of graduate programs in the area of environmental sciences in Brazil in relation to the UN sustainable development goals (SDGs).

The research is characterized as exploratory with qualitative/quantitative approach. The proposed model was developed as a computational algorithm with a pilot being adopted as a professional master in national network for teaching in environmental sciences (ProfCiAmb) comprising associated courses from nine Brazilian public universities. 230 dissertations completed between 2018 and 2020 were analyzed.

A total of 266 correlations were identified between the texts and descriptors of each SDG. Correlation values between 0.100 (minimum value – Vmin) and 0.464 (maximum value – Vmax) were observed. SDG 4 – Quality Education (Vmax = 0.399) and SDG 6 – Drinking Water and Sanitation (Vmax = 0.464) were those with the highest correlation values, followed by SDG 3 – Health and Well-Being (Vmax = 0.299) and SDG 17 – Partnerships and Means of Implementation (Vmax = 0.249).

The construction of the computational algorithm provided consistent quantitative analyses with potential to contribute to the improvement of the multidimensional evaluation of graduate studies, as well as to support public policies related to teaching and research and strategic planning of the programs.

The relevance of this study lies in the creation of a model that involves the creation of metrics and tools regarding the impact of graduate studies on society.

Green lean six sigma (GLSS) is a sustainable development approach that leads to improved patient care with improved safety and quality of service to patients. This study aims to identify, study, model and analyze GLSS success factors for the Indian health-care facility.

Interpretive structural modeling (ISM) and Impact Matrix Cross-Reference Multiplication Applied to a Classification analyses have been used to understand the hierarchical structure among the GLSS success factors. This enabled the development of dependency relationships between success factors, in particular, which factors support the development of other factors.

Specifically, this study found that the success factors “commitment of management” and “financial availability” are the most critical to GLSS implementation success, as they support the development of all other success factors. Meanwhile “embedding sustainable measures at each stage of the service”; “the capability and effectiveness of real-time data collection”; and “feedback and corrective actions” most directly support the GLSS implementation in the health-care facility and serve as the final indicators of implementation progress.

The major implication of this research work lies in suggesting a direction for practitioners to execute the GLSS approach through a systematic understanding of classification and structural relationships among different enablers. This study also facilitates health-care managers to explore different GL wastes in hospitals and challenges to sustainability pursuits in health-care that assist in an organization’s efforts toward sustainable development.

This research work is the first of its kind that deals with the identification and analysis of the prominent factors that foster the inclusive implementation of GLSS within the health-care facility.

This paper offers an approach for outlining the main dimensions surrounding clusters in three areas of knowledge: economic geography, strategic management and operations management, the first being considered its natural field of knowledge.

The work was developed using the citation analysis technique as applied to a database of 627 articles and 22,980 citations, taken from 15 important journals in the areas selected.

The results proved that the theoretical and conceptual bases are unique to each of the areas studied and that they have few topics in common between them. They are complementary, however, and this facilitates their reconciliation.

The sample base, despite considering fairly influential periodicals in the areas of knowledge selected, can be considered to be a limitation.

Common themes and different areas of knowledge surrounding the cluster concept were identified; despite being considered “common”, a more detailed examination of their content reveals very different, but certainly complementary emphases, which makes it possible to reconcile the areas of knowledge.