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Article
Publication date: 13 February 2017

Ibrahim Onur Oz and Tezer Yelkenci

The purpose of this paper is to examine a theoretical base for the financial distress prediction modeling over eight countries for a sample of 2,500 publicly listed non-financial…

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Abstract

Purpose

The purpose of this paper is to examine a theoretical base for the financial distress prediction modeling over eight countries for a sample of 2,500 publicly listed non-financial firms for the period from 2000 to 2014.

Design/methodology/approach

The prediction model derived through the theory has the potential to produce prediction results that are generalizable over distinct industry and country samples. For this reason, the prediction model is on the earnings components, and it uses two different estimation methods and four sub-samples to examine the validity of the results.

Findings

The findings suggest that the theoretical model provides high-level prediction accuracy through its earnings components. The use of a large sample from different industries in distinct countries increases the validity of the prediction results, and contributes to the generalizability of the prediction model in distinct sectors.

Originality/value

The results of the study fulfill the gap and extend the literature through a distress model, which has the theoretical origin enabling the generalization of the prediction results over different samples and estimation methods.

Details

Managerial Finance, vol. 43 no. 2
Type: Research Article
ISSN: 0307-4358

Keywords

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Article
Publication date: 10 February 2025

Irem Kose and Gulden Gumusburun Ayalp

This study aims to outline the transformative impacts of technological developments (TD) on architectural education (AE). The focus is on studying the dynamics of convergence and…

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Abstract

Purpose

This study aims to outline the transformative impacts of technological developments (TD) on architectural education (AE). The focus is on studying the dynamics of convergence and erosion, aiming to understand the impact of current digital transformations such as the COVID-19 pandemic, sustainability considerations and technology integration on AE.

Design/methodology/approach

A scientometric analysis and bibliometric search were performed to understand the current knowledge in the field. The Web of Science (WoS) was selected for its comprehensive collection of significant research articles and integrated analytical tools for generating representative data. The study involved an extensive bibliometric analysis of 131 journal articles on TD in AE from 2000 to 2023. Subsequently, the VOSviewer software was employed to illuminate the transformative impacts of technological advancements on AE. Robust methodologies, including citation analysis and co-citation networks, unravel quantitative dimensions such as publication trends, influential authors, prolific journals, geographic distribution and prevalent themes or technological domains within the discourse.

Findings

The findings reveal significant evolution in AE due to TD, with notable shifts influenced by factors such as the COVID-19 pandemic, sustainability concerns and the integration of modern technologies. Key findings include the increasing adoption of online platforms and technologies like Building Information Modeling (BIM), the crucial role of design thinking methodologies and the recognition of innovative modules such as architectural photogrammetry and augmented reality (AR) applications. Furthermore, keyword clusters were classified into six groups: “AE pedagogy and curriculum development,” “Development of architectural design process and studio,” “Educational approaches and digitalization in architectural design,” “Transition to online AE,” “Development/emergence of photogrammetry at architectural education” and “use of AR.”

Originality/value

Although several studies have addressed TD in AE from various perspectives and methods, they have yet to investigate the subject using scientometric analysis from a holistic perspective. A holistic exploration of TD in AE still needs to be improved in the existing literature. In contrast to previous investigations, this study is the first to leverage the quantitative analytical capabilities of VOSviewer. The originality lies in uncovering quantitative dimensions such as publication trends, influential authors and prevalent themes, providing a comprehensive understanding of the nuanced dimensions of this evolving intersection.

Details

Engineering, Construction and Architectural Management, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 0969-9988

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