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The purpose of this paper is to investigate the relationship between the sub-components of intellectual capital and organisational performance in waqf institutions in Algeria.

Data was collected through structured questionnaires from a sample of 193 waqf employees working in 23 different provinces in Algeria and analysed using partial least squares – structural equation modelling (PLS-SEM) software to test the path modelling and the relationship between the instruments.

The results of this research show that human capital, structural capital and spiritual capital have a positive and significant relationship with organisational performance. However, relational capital, social capital and technological capital did not demonstrate any kind of role in the context of waqf institutions in Algeria.

The findings of this research are of great importance for waqf institutions in Algeria, as they provide a comprehensive screening with regard to organisational performance of these institutions through the lens of intellectual capital. The findings help waqf managers and policy makers consider effective solutions for the weaknesses and challenges impeding the performance of waqf institutions, in the hope of retrieving their role in serving and developing societies.

In the existing body of literature, there is a lack of research focusing on intellectual capital in the context of religious non-profit organisations particularly waqf institutions. Thus, this research adds to the body of knowledge on intellectual capital while highlighting its role and importance within the waqf industry, particularly in the context of Algeria. This research is considered among the primary attempts to investigate the impact of intellectual capital components on the organisational performance of waqf institutions in Algeria.

This study aims to highlight the importance of intellectual capital (IC) for the operation of waqf (Islamic endowment) institutions, as few studies have discussed this issue in relation to non-profit religious organisations, particularly waqf organisations. Consequently, this study hopes to contribute to the development of waqf institutions in terms of human capital proficiency, the efficiency of operations and the effectiveness and sustainability of performance.

The authors reviewed a significant body of relevant studies written on various aspects of IC, to highlight the significance of considering IC in the operation of non-profit organisations (NPOs) and waqf institutions.

This study highlights the importance of IC in the operation of waqf institutions. It provides a platform that facilitates understanding of the existing obstacles and challenges in waqf institutions (such as lack of accountability, lack of funding, mismanagement and lack of trained labour, among others) and offers potential solutions through the consideration of knowledge and IC.

This study is a conceptual analysis of IC in the context of NPOs. Future studies should conduct empirical testing, which will provide more detailed discussion and enriching insights into the issue of IC and the performance of NPOs, particularly in the case of waqf institutions.

This study provides several important implications for waqf institutions and other NPOs, as it sheds light on the consideration of knowledge and IC in their operations.

To the best of the authors’ knowledge, this study is the first to discuss the issues of waqf in the light of IC and provide an integrated framework for the operation of waqf institutions.

This research paper aims at proposing a framework based on semantic integration in Big Data for saving energy in smart cities. The presented approach highlights the potential opportunities offered by Big Data and ontologies to reduce energy consumption in smart cities.

This study provides an overview of semantics in Big Data and reviews various works that investigate energy saving in smart homes and cities. To reach this end, we propose an efficient architecture based on the cooperation between ontology, Big Data, and Multi-Agent Systems. Furthermore, the proposed approach shows the strength of these technologies to reduce energy consumption in smart cities.

Through this research, we seek to clarify and explain both the role of Multi-Agent System and ontology paradigms to improve systems interoperability. Indeed, it is useful to develop the proposed architecture based on Big Data. This study highlights the opportunities offered when they are combined together to provide a reliable system for saving energy in smart cities.

The significant advancement of contemporary applications (smart cities, social networks, health care, IoT, etc.) requires a vast emergence of Big Data and semantics technologies in these fields. The obtained results provide an improved vision of energy-saving and environmental protection while keeping the inhabitants’ comfort.

This work is an efficient contribution that provides more comprehensive solutions to ontology integration in the Big Data environment. We have used all available data to reduce energy consumption, promote the change of inhabitant’s behavior, offer the required comfort, and implement an effective long-term energy policy in a smart and sustainable environment.