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Building information modeling (BIM) is a striking development in the architecture, engineering and construction (AEC) industry, which provides in-depth information on different stages of the building lifecycle. Real estate valuation, as a fully interconnected field with the AEC industry, can benefit from 3D technical achievements in BIM technologies. Some studies have attempted to use BIM for real estate valuation procedures. However, there is still a limited understanding of appropriate mechanisms to utilize BIM for valuation purposes and the consequent impact that BIM can have on decreasing the existing uncertainties in the valuation methods. Therefore, the paper aims to analyze the literature on BIM for real estate valuation practices.

This paper presents a systematic review to analyze existing utilizations of BIM for real estate valuation practices, discovers the challenges, limitations and gaps of the current applications and presents potential domains for future investigations. Research was conducted on the Web of Science, Scopus and Google Scholar databases to find relevant references that could contribute to the study. A total of 52 publications including journal papers, conference papers and proceedings, book chapters and PhD and master's theses were identified and thoroughly reviewed. There was no limitation on the starting date of research, but the end date was May 2022.

Four domains of application have been identified: (1) developing machine learning-based valuation models using the variables that could directly be captured through BIM and industry foundation classes (IFC) data instances of building objects and their attributes; (2) evaluating the capacity of 3D factors extractable from BIM and 3D GIS in increasing the accuracy of existing valuation models; (3) employing BIM for accurate estimation of components of cost approach-based valuation practices; and (4) extraction of useful visual features for real estate valuation from BIM representations instead of 2D images through deep learning and computer vision.

This paper contributes to research efforts on utilization of 3D modeling in real estate valuation practices. In this regard, this paper presents a broad overview of the current applications of BIM for valuation procedures and provides potential ways forward for future investigations.

The main purpose of this study is to explore knowledge management and learning features in some Iranian small and medium‐sized enterprises.

A questionnaire was designed, applied and then analyzed using statistical methods. The results discuss various perspectives from the knowledge management point of view, and provide some important findings and a regression model to show the essential issues of the subject.

The learning factor was assumed as a dependent variable to carry out regression analysis with four factors: training; interactive participation of employees; flat structures in SMEs; and CEO support and commitment. The statistical analysis determined the four factors as important issues in the regression model. The results also showed that there is no relationship between organizational size and the need for knowledge management.

Most SMEs in Iran are still traditional. Their school of thought belongs to the industrial age and their efforts are not aligned to the knowledge era's requirements. Today's changes dictate a new model of thinking as a basic requirement. SMEs in Iran have to restructure their way of thinking towards a knowledge‐based paradigm for competitiveness and survival.

This study is probably the first to provide an integrated perspective of exploring knowledge management through Iranian SMEs. It gives valuable information and guidelines that hopefully will help SME leaders in decision making in the KM area.

This paper aims to discuss the essential issues of knowledge management adoption, in order to establish a knowledge management program in Iran Aerospace Industries Organization (AIO).

This paper has identified critical factors of knowledge management through Iran AIOs based on a comprehensive review of recent literature. For this purpose, a questionnaire was designed, applied and then analyzed by some statistical methods. The results discussed various perspectives from the knowledge management point of view, and provided some critical factors and a regression model for showing essential issues of subject.

The statistical analysis determined eight factors as critical issues in this large‐scale case study. These factors are “team working and KM features,” “leadership and commitment of CEO,” “appropriate organizational infrastructure,” “pilot, benchmarking and KM systems,” “job enrichment and security,” “culture, change management and strategy,” “collaborative and flexible organization” and “training and learning.” The overall results from the case study were positive as well, thus reflecting the appropriateness of the suggested regression model.

The extracted factors can act as a guideline for KM adoption in the organizations. This helps to ensure that the essential issues are covered during design and implementation phase of KM program. For academics, it provides a common language to discuss and study the factors crucial for knowledge management.

The paper may present high value to researchers in the knowledge management field and to practitioners involved with KM program in the organizations. This study further provides an integrated perspective of critical issues for KM adoption in the high‐tech industries including the aerospace industry. It gives valuable information and guidelines that hopefully will help the leaders to consider the important issues during knowledge management establishment in the organization.

Although there are some studies about knowledge management at national level, no integrated attempts have been reported in the direction of introducing knowledge management pattern at national level based on real experiences. Numerous researches have been conducted in the domain of knowledge management at micro level. But at macro/national level, some concepts and components have been investigated briefly. The purpose of this paper is to deal with this gap.

This research uses the hybrid method. The technique of qualitative case study of grounded theory method has been selected in this research for gathering and analyzing data. Data have been categorized and analyzed from case studies (at countries level) using the steps of this method. The degree of correlation and causality and the importance of each concept existing in the pattern have been computed by applying decision-making trial and evaluation (dematel) technique. The obtained concepts and pattern could be applied as a guide for accepting and implementing knowledge management at national level.

Total positive findings have been obtained from case studies, and the authors attained 14 concepts and one pattern. These findings provide the steps of designing and are useful in implementing projects and programs of knowledge management at national level. The degree of correlation between the components of the pattern is the other finding of this study.

The obtained concepts and patterns can be used as a guide in countries and governments which decide to implement knowledge management at national level. These can be a basis for countries which are in the process of implementing the projects of knowledge management at national level.

This research is the first study that aims to provide the pattern of knowledge management at national level and can provide useful information for countries and governments and can be used as a reference to guide them for the implementation. So these countries will be able to design and implement their programs of knowledge management purposefully.

The main objective of this paper is to develop a knowledge management (KM)approach in Iran aerospace industries based on the findings through the analysis of successful practices in KM area.

A qualitative case study technique has been used in this paper for data collection and analysis. For that, “grounded theory” research approach has been selected by which the collected data from successful organizations in KM adoption are categorized and analyzed. The extracted concepts were deployed in Iran aerospace industries to present a KM approach through benchmarking.

The overall results from the case studies analysis were positive, thus reflecting the appropriateness for benchmarking. The extracted concepts clarify how to develop KM approach in an organization. This approach has been applied in a large case study in Iran and is supported by practical implementation in Aerospace Industries Organization (AIO), one of the most important high‐tech industries in Iran.

This paper provides a helpful roadmap for practitioners in implementing KM through out the organizations and especially in large‐scale ones. This helps to ensure that the essential issues are covered during design and implementation phase. For academics, it provides a common language for them to deploy a KM approach in the organizations.

This study is probably the first to provide a benchmarked integrated KM approach based on the critical success factors extracted by analysis in a multi case study research. This study further opens up new lines of research and highlights implications for KM efforts through benchmarking. It gives valuable information and guidelines which hopefully will help the leaders to deploy KM in their organizations.

By now, change management programs for establishing knowledge management system at a national level for the countries have not been systematically explored. Available studies have derived their critical issues for change management from companies' perspectives and have not considered the needs of a larger scale such as a country and at a national level. This paper aims to fill this gap.

A qualitative case study technique has been used in this paper for data collection to gain insights into the topic being investigated. For that, “grounded theory” research approach has been selected by which the collected data from some case studies (European countries) are categorized and analyzed through specific stages. The extracted concepts can demonstrate critical issues of change management programs for knowledge management establishment at a national level.

The overall results from the case studies were positive, thus reflecting the appropriateness of the proposed concepts. In addition, ten concepts and a framework are the other findings of this research that clarify how to design and implement a change management program for knowledge management adoption at a national level.

The set of critical factors (concepts) can act as a list of items for countries to address when adopting knowledge management through a change management program. This helps to ensure that the essential issues and factors are covered during design and implementation phase. For academics, it provides a common language for them to discuss and study the factors crucial for the success of change management program designed for knowledge management adoption at a macro level.

This study is probably the first to provide an integrated perspective of critical issues for change management program during KM adoption at a national level in the countries. It gives valuable information and guidelines which hopefully will help the governments to mange essential changes for accomplishing knowledge management through their countries.

This study aims to investigate the effect of the Diamond Justice model on self-efficiency with the mediating role of job stress among the staff of Qazvin hospitals affiliated with Qazvin University of Medical Sciences. This study is a cross-sectional descriptive-analytical study conducted among the staff of Qazvin hospitals affiliated with Qazvin University of Medical Sciences in 2020.

Sampling was performed using the structural equation method. Data collection tools included three sections: demographic information, justice and self-efficiency questionnaire and job stress questionnaire. Data were finally analyzed using SPSS software version 26 and AMOS version 23 at a significance level of 0.05.

The structural equation model’s standard estimation coefficients show that all existing paths are at a significant level. Finally, the regression analysis showed that justice is inversely related to stress level (ß = −0.185, p = 0.015). Justice is directly related with self-efficiency (ß = 0.282, p < 0.001).

Justice, stress and self-efficacy have been measured in various studies among health workers. However, a fitting model showing these three variables’ interaction was necessary. Therefore, this study tries to conceptualize the multifaceted relationships of the components of these concepts by presenting a model.

The main purpose of this paper is to present the findings of a survey carried out in Southern African Development Community (SADC) universities to explore their knowledge portal practices and ignite debate on best practices regarding the importance, design and management of knowledge portals in developing world contexts.

The main data collection instrument was a questionnaire which was largely quantitative except one question was qualitative for additional comments.

The major finding of this study is that only one out of ten participating universities had a knowledge portal. Furthermore, what other participating universities have in place as web sites can only be described realistically as “extended web sites”.

Initially, the main purpose of this study was to explore SADC university knowledge portals and based on the findings ascertain the best practices prevailing among SADC universities. This purpose could not be fully achieved as most SADC participating universities do not have knowledge portals. Instead, they have extended web sites; hence, most responses are based on university extended web sites. Thus, the study reports on one case of a knowledge portal and describes how “extended web sites” might fit as foundational knowledge portals. Since the study was limited in its sample size (ten universities), it has implications for generalisation of the research findings.

This paper provides a theoretical framework for designing an effective university knowledge portal and creates the awareness of the importance of knowledge portals in universities. Also, the paper fills a gap in the literature on knowledge portals, and clarifies the difference between a knowledge portal and a web site.

Science parks play an important role in development of technology and are able to stimulate economic growth of the countries. The purpose of this paper is to study the role that science and technology parks (STPs) play in growth of knowledge-based economy.

Key factors affecting the competitive advantages and the World Bank indicators resulting in knowledge-based economy were displayed in the form of a questionnaire which was examined by experts. The questionnaire was designed to evaluate main factors and sub-factors of competitive advantages of the institutions, including aspects of human resources, research and development and technology transfer, facilities, market development and to assess the main criteria of knowledge-based economy known as pillars of the overall economic performance, the institutional regime and economic incentives, innovation system, education and information technology and communications.

The obtained results from the study on competitive advantages were evaluated and analyzed by using SPSS software and the results of the review on development of knowledge-based economy were modeled by SmartPLS software with partial least squares method. Eventually, the obtained model was tested and analyzed.

This study is an original contribution to the theory of STPs and knowledge-based economy. It was initiated to examine the role of STPs in development of knowledge-based economy and presentation schematic model.

Knowledge discovery in databases (KDD) is a tedious and repetitive process. A challenge for the effective use of KDD is understanding and confirming its results derived from the harmonized process. To exploit the advantages of agents’ application, this paper aims to propose a conceptual model based on a multi-agent system (MAS) to control each step of the KDD process.

This paper reports the empirical findings of a survey conducted among academic and industrial sectors in Tehran, Iran. In this survey, the participants answered a questionnaire about the main factors of designing a suitable model for the KDD process based on MAS. The factor analysis reveals important insights of previous models developed by various researchers.

This research uses the survey results to find six critical success factors, continuity in refinement and improvement; learning and acting concurrently; loosely or tightly coupled approach for using technologies; cooperative, dynamic and flexible environment; documentation and reporting; and extracting and evaluating knowledge intelligently, for a proper conceptual model of the KDD process based on MAS.

The proposed model reflects all aspects of the KDD process by applying the intelligent agents for each process steps. In addition, this research only considers the Iran society; hence, it cannot be generalized to other nations, and it may need further research in other countries and to be implemented in real-world business domains.

This research helps organizations to adopt a proposed model and implement a KDD process to advantage the valuable knowledge that exists in their data resources.