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There are no management decisions deprived of ethical or political consequences. Political corporate social responsibility (CSR) has been highlighting this assertion but research at the microlevel on this topic is scarce. This study aims to contribute to the microlevel research by proposing a behavioral framework where leaders’ political skills are determinants of engagement in strategic CSR and perceived CSR leverages their ascribed legitimacy to perform a political role outside the boundaries of the organizations.

Building upon political CSR and critical realism theories, this study offers a general review on key political CSR microlevel concepts and examines multiple dimensions of CSR to explain the indirect effect between boards' political skills and political legitimacy.

This research suggests that high politically skilled leaders are associated to more CSR adoption which fosters higher legitimacy to act as political influencers. Among these, CSR activities directed toward community members and employees are seemingly the most successful from a political standpoint.

This study proposes a contemporary form of political influence to business leaders that, in contrast with other strategies such as lobbying or financing political campaigns, does not end up damaging corporate image and reputation. Also, this study proposes that not all CSR activities leverage corporate political legitimacy per se, therefore they do need to be differentiated. This study then offers a comprehensive future research agenda, including detailed suggestions for research designs and measurements.

This paper aims to propose a new framework to define relevant and meaningful indicators for monitoring and assessing environmental performance to improve health-care systems and operations.

A comprehensive literature review followed by field studies conducted with ten hospitals in the southern region of Brazil underlined the scarcity of consistent frameworks applied in practice to measure, monitor and improve environmental performance. A new framework was developed and proposed to address this issue. The proposed framework is operationalized through a “process approach” and evaluated in terms of feasibility (Can the process be followed?), usability (Is the approach easily followed?) and utility (Are the results useful for managers?).

The paper proposes a framework and a process to evaluate the environmental performance in hospitals.

The proposed framework represents meaningful guidance to managers for strategy formalization, goal setting and environmental performance assessment and monitoring.

The paper proposes a systematic framework for measuring environmental performance in hospitals drawn from the literature review, current legislation and best practices reported in literature.

In the context of resource scarcity, the affiliation of small and medium-sized enterprises (SMEs) to strategic networks has emerged as a fruitful path towards knowledge sharing as a reaction to fierce competition and with a view to enhance their innovative performance. In this framework, this paper aims to investigate the influence exerted by a specific relational design (i.e. types of strategic networks) and methodology (i.e. channels and content) of knowledge sharing on SMEs innovative performance.

A questionnaire-based survey with 102 top managers of European SMEs in the industrial field was conducted from June to August 2019 and a partial least squares structural equation modelling technique was used. The database was initially filtered to ensure the adequacy of the sample and data was analysed using the statistics software package SmartPLS 3.0.

The results concluded that the structural model explains 38.5% of the variance in SMEs innovative performance, indicating the positive effects exerted by offline and online and by competitive knowledge sharing on the dependent variable.

The study has both theoretical and practical implications in that it sets out a reference point for the key performance indicators for strategic networks structure, formation and development and, implicitly, for the selection of the most efficient relational design and methodology.

The pivotal originality elements reside in the advancement of a more comprehensive conceptual and structural model combining a two-fold operationalization of SMEs strategic networks (founded on business abilities or on the personality of the partner) and in the investigation of knowledge transfer processes at the inter-organizational levels within a context-centric approach.

Humans now enjoy a better life because of Artificial Intelligence (AI). AI has a significant impact on the creation of smart cities. Modern applications based on big data, Internet of Things (IoT) systems, and deep learning require extensive use of complex computational solutions. Thus, the following problems arise: (1) what are smart cities? (2) what is AI? (3) How is AI used in smart cities? To respond to this problem, the following objective was set: to map how AI is used in smart cities. For this purpose, a qualitative methodology based on a narrative analysis of the literature was used. It is concluded that AI and smart cities are complementary technologies that can assist cities in tackling difficult issues including public safety, transportation, energy management, environmental monitoring, and predictive maintenance. This chapter’s findings, while broadly applicable, offer valuable insights into the Gulf region’s unique context, where rapid urbanization and technological adoption intersect with cultural and environmental considerations. The integration of AI in smart cities presents a promising avenue for the Gulf region to address its specific challenges and leverage its economic and infrastructural strengths, thereby contributing to the broader goals of innovation, development, prosperity, and well-being as envisioned in the region’s Vision 2040 initiatives.

This paper aims to investigate Lean Six Sigma (LSS) in the Brazilian context, seeking to identify its main characteristics and opportunities for future research.

This study focuses on a literature review in the area of production engineering and operations management, where 104 relevant scientific publications were identified.

The results show that the most important critical success factor for integrating LSS in Brazil is top management support and commitment. LSS integration occurs predominantly in large industrial companies, being incipient in small and medium-sized enterprises. In general, there is no structured way of applying LSS. A standard framework for LSS is still lacking.

This study is limited to a sample that only comprises Brazilian scientific studies.

Professionals and practitioners can understand the evolution of LSS through practical applications and the main LSS tools used in both the industrial and services sectors. It also points out the critical success factor for the implementation of LSS. The study highlights several roadmaps for LSS implementation adopted by large and modern Brazilian automotive industries based on a robust technological base. This study also contributes to expanding the evidence base of LSS application, both in Brazil and in other countries.

Some suggestions are proposed to clarify the structure and complexity of integrated implementation of LP and SS as well as expand the LSS application in small and medium-sized enterprises. This study is the first to discuss the current situation of LSS in Brazil and provide suggestions to expand LSS in the country. Comparisons of Brazilian LSS literature review with researches of others countries are also presented.