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This study aims to explore the alignment between strategic plans of the Portuguese public higher education institutions (HEIs) and their perception of the integration of sustainability in education and curricula.

The strategic plans from 15 institutions were selected for content analysis; data about the integration of sustainability in education and curricula, from these HEI, were collected with an online questionnaire (self-report survey). Qualitative and quantitative analyses were performed.

Strategic plans of the Portuguese public HEIs seem to not be sufficiently aligned with self-assessment integration of sustainability in education and curricula.

The classifications used in the content analysis were constructed and revised by the authors to reduce coder interpretation issues and subsequent bias in the results. However, some subjectivity could remain. The analysis of strategic plans and self-report surveys answered by top management, or a technician, does not assess the practices and sustainability implementation in education and curricula.

This study allows the self-report of already-implemented practices to be compared to the planned strategy of HEI governance in Portugal as stated in their strategic plans.

An analysis and respective insights on the lack of connection between strategic planning and self-report practices about sustainability implementation, using Portugal as a case study.

This article aims to provide a theoretical unifying framework for flexible organizational forms, such as so-called adhocracies and network organizations.

In this article, organization practices that are typical of the software industry are analyzed and re-interpreted by means of foundational concepts of organization science. It is shown that one and the same logic is at work in all flexible organizations.

Coordination modes can be fruitfully employed to characterize flexible organizations. In particular, standardization is key in order to obtain flexibility, provided that a novel sort of coordination by standardization is added to those that have been conceptualized hitherto.

This article highlights one necessary condition for organizations to be flexible. Further aspects, only cursorily mentioned in this paper, need to be addressed in order to obtain a complete picture.

A theory of organizational flexibility constitutes a guide for organizational design. This article suggests the non-obvious prescription that the boundary conditions of individual behavior must be standardized in order to achieve operational flexibility.

This theoretical framework can be profitably employed in management classes.

Currently, flexible organizations are only understood in terms of lists of instances. This article shows that apparently heterogeneous case-studies share common features in fact.

The purpose of this research is to develop a framework of an ontology-based Asset Information Model (AIM) for a Digital Twin (DT) platform and enhance predictive maintenance practices in building facilities that could enable proactive and data-driven decision-making during the Operation and Maintenance (O&M) process.

A scoping literature review was accomplished to establish the theoretical foundation for the current investigation. A study on developing an ontology-based AIM for predictive maintenance in building facilities was conducted. Semi-structured interviews were conducted with industry professionals to gather qualitative data for ontology-based AIM framework validation and insights.

The research findings indicate that while the development of ontology faced challenges in defining missing entities and relations in the context of predictive maintenance, insights gained from the interviews enabled the establishment of a comprehensive framework for ontology-based AIM adoption in the Facility Management (FM) sector.

The proposed ontology-based AIM has the potential to enable proactive and data-driven decision-making during the process, optimizing predictive maintenance practices and ultimately enhancing energy efficiency and sustainability in the building industry.

The research contributes to a practical guide for ontology development processes and presents a framework of an Ontology-based AIM for a Digital Twin platform.