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Architectural management and construction practices have not been widely explored in refugee camps which have been growing exponentially around the world. Previous research largely focused on the negativity surrounding living in refugee camps and mostly ignored the input of refugees. This study explores the possibilities of involving refugees in architectural design and construction decisions in the camps.

This research adopts a qualitative interpretive research approach and employs exploratory ethnographic methods. Participatory design (PD) principles are applied to design and construct community place projects in two refugee camps in Greece.

The findings demonstrate that, despite the technical and institutional challenges of employing PD approaches in refugee camps, there are observed positive impacts on the wellbeing of refugees and impacts on the hosting communities.

This paper contests the negativity surrounding refugee camps and has implications on research, practice and society as well as a positive impact on NGO organisations, policy-makers and other stakeholders involved in the governance of refugee camps.

This paper addresses a critical issue concerning how to include refugees in the design, implementation and maintenance of refugee camps to improve their well-being and fight the feeling of “otherness” for both refugees and host communities. This study extends research on refugee camps by collaborating with refugees to improve their lives within the camps. This research contributes to architectural management and construction studies by providing practical recommendations related to PD methods in new contexts.

Industrial heritage is considered an essential part of cultural heritage in the world. This heritage suffers from continued marginalisation in the Arab world, particularly in Jordan, where many industrial heritage sites have not been protected or studied well due to the lack of a clear definition of cultural heritage. Most of these sites, built in the 20th century, are gradually disappearing or scheduled for demolition. This paper explores the de-industrialisation discourse and the loss of modern industrial heritage in the Arab world, especially in Jordan.

This research investigates the modern industrial heritage in Jordan as a case study in the Arab world. A comprehensive understanding of the industrial heritage has been obtained by adopting a case study approach and using a reconnaissance survey of potential industrial heritage sites in Jordan.

Seven categories were used in the analysis of the de-industrialisation phenomenon of heritage sites: ownership, location, design and types; structure, significance, deterioration and physical condition and conservation attempts and alterations. Three main approaches to industrial heritage were identified: demolition, occasional maintenance and rare examples of conservation and adaptive reuse.

This study sheds light on the ownership issue of industrial structures in Jordan and invites policymakers, relevant authorities, private organisations and the public to consider the challenges and impact of de-industrialisation of such sites.

This research raises awareness of the de-industrialisation discourse, and highlights the value of industrial architecture dating back to the modernity period, which was short-lived in Jordan. It also calls for serious consideration of these sites to support sustainable development in the Arab World.

The study aims to develop a model that supports the application of data science techniques for real estate professionals in the fourth industrial revolution (4IR) era. The present 4IR era gave birth to big data sets and is beyond real estate professionals' analysis techniques. This has led to a situation where most real estate professionals rely on their intuition while neglecting a rigorous analysis for real estate investment appraisals. The heavy reliance on their intuition has been responsible for the under-performance of real estate investment, especially in Africa.

This study utilised a survey questionnaire to randomly source data from real estate professionals. The questionnaire was analysed using a combination of Statistical package for social science (SPSS) V24 and Analysis of a Moment Structures (AMOS) graphics V27 software. Exploratory factor analysis was employed to break down the variables (drivers) into meaningful dimensions helpful in developing the conceptual framework. The framework was validated using covariance-based structural equation modelling. The model was validated using fit indices like discriminant validity, standardised root mean square (SRMR), comparative fit index (CFI), Normed Fit Index (NFI), etc.

The model revealed that an inclusive educational system, decentralised real estate market and data management system are the major drivers for applying data science techniques to real estate professionals. Also, real estate professionals' application of the drivers will guarantee an effective data analysis of real estate investments.

Numerous studies have clamoured for adopting data science techniques for real estate professionals. There is a lack of studies on the drivers that will guarantee the successful adoption of data science techniques. A modern form of data analysis for real estate professionals was also proposed in the study.