Search results

The concept of adaptive reuse is an effective strategy in enhancing the heritage assets economic, cultural and social values. The main purpose of this research is to determine how to increase the life of the heritage buildings thereby improving their sustainability and reducing energy consumption and waste, while preserving them from the risk of obsolescence.

The qualitative method has been used in this research to evaluate the functional quality and sustainability of Mashrooteh house by using the adaptSTAR model with its scoring sheet with respective design criteria. Predicting and evaluating the sustainability and adaptability of the historic Mashrooteh house in Tabriz will ensure its reuse and increase its adaptability and future life.

Findings have shown that to increase the adaptability and future life of Mashrooteh house, it requires the improvement of the physical, legal, technological and functional criteria in order to provide suitable conditions for increasing the environmental and functional sustainability of this heritage building, while improving the quality of its spaces.

With the emphasis on conservation of national heritage as well as promoting sustainable development, the overall service life of these structures can be extended. The significance of this study lies in recognizing the incompatibilities and potential of viable approaches to rehabilitate the volatile condition of Mashrooteh house. The result of this study will add value to existing sustainable reuse database in Tabriz and other countries in the Middle East region.

This study aims to render a pattern for heritage restoration in the context of reusing historic buildings, to assist the authorities with decision-making process on the most appropriate time during the building’s life cycle. Here, the adaptive reuse potential (ARP) model is used to find the most appropriate time for adaptive reuse and calculating the useful life as well as the potentiality of the Amir Nezam House so a viable solution can be put forward.

In this research, a quantitative and qualitative method is adopted to evaluate the useful life and potentiality of the Amir Nezam House of Tabriz to determine the most appropriate time for next intervention.

Results show that the potential (ARP score) of the Amir Nezam House is increasing, the value of which will be greater than 50 percent by the next few years. Evaluations show that the most appropriate time for further intervention is the year 2035.

The significance of this research lies within the objective of proposing a preventive and protective schedule for historic buildings before they reach their life expectancy with an emphasis on environmental, economic, social and functional sustainability as well as environmental impacts. ARP model has been applied to implement this concept in the Amir Nezam House, Tabriz, Iran.

This study is to develop an accurate assessment tool to identify the factors that may influence determining the appropriate use for historic buildings.

The research method in this study is qualitative. The integrated MCDM (multi-criteria decision-making) method is used to determine the most appropriate use for historic buildings, which ultimately led to the development of the MAU (most appropriate use) model.

The results of this study show that, in terms of preserving identity and cultural heritage, the role intangible criteria have to play is seemingly more important than that of tangible criteria. Also, weighted criteria in the matrix relating the “use” options demonstrate cultural-social, commercial and educational uses being apparently more important than other uses.

The novelty of this research is in providing a framework to facilitate contribution to determine the most suitable use for historic buildings with the ability to set criteria and separate weights for each building aiming to increase the useful life to the maximum extent and delaying the need for a subsequent major overhaul.

The concept of adaptive reuse is an effective strategy for enhancing heritage assets, economic, cultural and social values. The purpose of this paper is to propose a method to reuse historic buildings within appropriate time frames. The adaptive reuse potential (ARP) model assesses the potential of buildings based on obsolescence criteria in order to determine the optimal time for changing the use of such assets.

Both quantitative and qualitative methods have been used in this research to evaluate the reuse potential of The Mashrooteh Building by using the ARP model. Predicting and evaluating the physical life, useful life and potential of the historic Mashrooteh building in Tabriz will ensure its reuse and will increase its future life.

Findings have shown that to increase the future life of The Mashrooteh Building, its adaptive reuse quality needs to be improved for the next intervention within a reasonable time. Further procedures can be outlined when the appropriate time for future rehabilitation is known.

With an emphasis on conservation of national heritage as well as promoting sustainable development, the overall future life of assets can be extended. The significance of this study is closely related to organizations dealing with the conservation and rehabilitation of historical buildings with the emphasis on sustainable improvement of environmental, economic, social and functional aspects in the best possible time frame. The result of this study will add a value to existing sustainable reuse database in Tabriz and other countries in the Middle East region.

Phishing is one of the major threats affecting businesses worldwide in current times. Organizations and customers face the hazards arising out of phishing attacks because of anonymous access to vulnerable details. Such attacks often result in substantial financial losses. Thus, there is a need for effective intrusion detection techniques to identify and possibly nullify the effects of phishing. Classifying phishing and non-phishing web content is a critical task in information security protocols, and full-proof mechanisms have yet to be implemented in practice. The purpose of the current study is to present an ensemble machine learning model for classifying phishing websites.

A publicly available data set comprising 10,068 instances of phishing and legitimate websites was used to build the classifier model. Feature extraction was performed by deploying a group of methods, and relevant features extracted were used for building the model. A twofold ensemble learner was developed by integrating results from random forest (RF) classifier, fed into a feedforward neural network (NN). Performance of the ensemble classifier was validated using k-fold cross-validation. The twofold ensemble learner was implemented as a user-friendly, interactive decision support system for classifying websites as phishing or legitimate ones.

Experimental simulations were performed to access and compare the performance of the ensemble classifiers. The statistical tests estimated that RF_NN model gave superior performance with an accuracy of 93.41 per cent and minimal mean squared error of 0.000026.

The research data set used in this study is publically available and easy to analyze. Comparative analysis with other real-time data sets of recent origin must be performed to ensure generalization of the model against various security breaches. Different variants of phishing threats must be detected rather than focusing particularly toward phishing website detection.

The twofold ensemble model is not applied for classification of phishing websites in any previous studies as per the knowledge of authors.

The purpose of this paper is to study the flow and heat transfer of an incompressible homogeneous second‐grade fluid past a stretching sheet channel and employ the homotopy analysis method (HAM) to compute an approximation to the solution of the system of nonlinear differential equations governing on the problem.

In this paper, a study of the flow and heat transfer of an incompressible homogeneous second‐grade fluid past a stretching sheet channel is presented and the HAM is employed to compute an approximation to the solution of the system of nonlinear differential equations governing on the problem. It has been attempted to show the capabilities and wide‐range applications of the HAM in comparison with the numerical method in solving this problem.

The obtained solutions, in comparison with the exact solutions admit a remarkable accuracy.

In this paper, a study of the flow and heat transfer of an incompressible homogeneous second‐grade fluid past a stretching sheet channel is presented and the HAM is employed to compute an approximation to the solution of the system of nonlinear differential equations governing on the problem. The paper shows the capabilities and wide‐range applications of the HAM in comparison with the numerical method in solving this problem. The obtained solutions, in comparison with the exact solutions admit a remarkable accuracy.

Green knowledge management (GKM) has become a more prominent research topic because of its ability to balance business sustainability, performance and society's well-being. The purpose of this paper is to study how GKM literature evolved before and after two major events: the introduction of sustainable development goals (SDGs) and the first conceptualization of GKM. In this paper, GKM is holistically examined following the stages of the knowledge management cycle, a framework for organizational knowledge-processing phases.

This study performed a bibliometric analysis of 1,274 papers related to GKM from 1995 until January 2024.

Over the three decades, this research outlined the intertwined relationships between core themes in the domain such as knowledge management in the context of corporate social responsibilities, sustainable development (SD), competitive advantage and so on, and popular theories. GKM evolved from an “industrial and technical view” of knowledge management to a more emerging perspective of a “social process.” Emerging themes were identified such as green innovation, information security or organizational learning sub-themes with key technologies like block-chain, big data analytics and artificial intelligence. Future research can explore themes such as green knowledge integration, green entrepreneurship, green supply chain and green knowledge integration capabilities.

This review offers practitioners a holistic picture of GKM to tackle emerging environmental concerns and increase businesses' competitive advantages. This study provides insights into the future practices of GKM, incorporating emerging technological advancement, to gain green intellectual capital and build dynamic capabilities for sustainability.

To the best of authors’ knowledge, this study is the first to provide a comprehensive picture of the GKM literature, from its earliest forms of corporate social responsibility and SD until the introduction of SDGs, and in combination with the evolution of knowledge management cycle stages.

This paper proposes and empirically assesses a social cognition conceptual model linking creativity (both artistic and scholarly), entrepreneurial personality traits, and entrepreneurial intention. Specifically, the study draws on social cognition perspectives to investigate the potential role of creativity as a mechanism underlying the relationship between entrepreneurial personality traits and entrepreneurial intention.

Using a sample of 194 creative nascent entrepreneurs, the study tests the proposed model using Partial Last Squares Structural Equations Modeling (PLS-SEM).

The study reveals that, among entrepreneurial personality traits, only risk-taking propensity is positively related to entrepreneurial intention. Interestingly, while artistic creativity seems to enhance entrepreneurial intention, scholarly creativity is found to stimulate a more cautious approach toward venturing. The findings also reveal that scholarly creativity fully mediates the relationship between tolerance for ambiguity and entrepreneurial intention.

The study makes an original contribution by showcasing how both artistic and scholarly creativity developed in the same socially situated cognitive environment can differentially influence decision-making and the relationship between entrepreneurial personality traits and entrepreneurial intention, thus contributing to social cognition perspectives and research in entrepreneurship.