Abroon Qazi’s research while affiliated with American University of Sharjah and other places

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Publications (86)


Benchmarking higher education excellence: insights from QS rankings
  • Article

January 2025

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10 Reads

Abroon Qazi

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Purpose This study aims to address a gap in traditional university ranking methodologies by investigating the interrelations among key indicators featured in the QS rankings, within the broader context of benchmarking in higher education. Design/methodology/approach Utilizing the 2024 QS ranking data and a Bayesian Belief Network (BBN) model, this research explores the interconnected relationships among indicators such as “academic reputation,” “employer reputation,” “faculty-to-student ratio,” “sustainability” and others to predict university rankings. Findings The developed model achieves 80% predictive accuracy and shows that strong performance in “employment outcomes,” “academic reputation” and “employer reputation” contributes to higher overall scores. In contrast, weaker performance in “academic reputation” and “sustainability” is associated with lower scores. Among these factors, “academic reputation” is the most informative indicator for predicting the overall score. Originality/value This research contributes to the literature by emphasizing the interconnections among ranking criteria and advocating for network-based models for benchmarking in higher education. Particularly, it underscores the importance of “sustainability” in forecasting rankings, aligning well with the broader theme of predicting university performance and societal impact. This study offers valuable insights for researchers and policymakers, promoting a comprehensive approach that considers the interdependencies among criteria to enhance educational quality and address societal change within the framework of benchmarking in university rankings.



Exploring the nexus of stakeholder management, project performance and stakeholder satisfaction in Malaysian residential building projects: a PLS-SEM approach

December 2024

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35 Reads

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1 Citation

Engineering Construction & Architectural Management

Purpose In this research, the authors distributed a survey to 156 residential construction developers and 468 buyers to assess the level of perceived agreement of developers and buyers on the key indicators for measuring stakeholder management, project performance and stakeholder satisfaction. Following this, a partial least squares structural equation modelling (PLS-SEM) model was developed to quantitatively analyse the direct impacts of stakeholder management on both project performance and stakeholder satisfaction, and to analyse the mediating role of stakeholder satisfaction in enhancing project performance. Design/methodology/approach This paper seeks to investigate the direct effects of stakeholder management on project performance and stakeholder satisfaction within residential construction projects, and also examine the mediating role of stakeholder satisfaction in enhancing project performance by surveying residential buildings’ developers and buyers in Malaysia. Findings This research found that effective stakeholder management directly improves project performance and stakeholder satisfaction within Malaysian residential construction projects. It further identified that stakeholder satisfaction significantly enhances project performance, serving as a critical mediator in the relationship between stakeholder management and project performance. Practical implications This study enhances the understanding of stakeholder management, stakeholder satisfaction and project performance in the Malaysian construction industry, offering strategic insights that emphasise the importance of stakeholder-centric practices for improving project outcomes, ensuring better collaboration and fostering enhanced project performance. Integrating these insights with digital technologies like building information modelling can lead to clearer communication, more informed stakeholder engagement, and, ultimately, enhanced project efficiency and satisfaction. Originality/value This paper offers empirical evidence on the critical role of stakeholder management and satisfaction in enhancing project performance in Malaysia’s residential construction projects, providing novel insights into stakeholder-centric approaches that contribute to improved project outcomes.


Profiles of the pilot study participants
Profiles of the Semi-Structured Interview Participants
Examining the Key Challenges and Barriers to Construction Risk Management Implementation during Health Pandemics
  • Article
  • Full-text available

December 2024

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25 Reads

The purpose of this study is to identify and assess the level of significance of key risk management implementation challenges and barriers (RMICBs) in the construction industry of developing countries during the COVID-19 pandemic. To achieve this, semi-structured interviews were conducted with 30 construction experts in Iraq, including project managers, contractors, safety engineers, and academics. A total of 34 RMICBs were identified and grouped into four categories: analytical approach-related, behaviour-related, management-related, and team-related challenges and barriers. Results show that the most critical RMICBs are the complexity of quantitative-based risk assessment tools, bribery, ineffective risk communication, and insufficient familiarity with the risk management process. This research significantly enhances existing knowledge, offering construction professionals in developing countries deeper insights into the key challenges and barriers that hinder the successful implementation and delivery of risk management practices in construction projects during health pandemics.

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Examining the Integration of Generative AI Models for Improved Risk Management Practices in the Financial Sector

November 2024

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296 Reads

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5 Citations

SSRN Electronic Journal

The rapidly evolving landscape of the financial sector demands continuous innovation in risk management practices to ensure stability and sustainability. With the emergence of Generative Artificial Intelligence (GenAI) models like ChatGPT, there's a pivotal opportunity to revolutionise traditional risk management practices. These models possess the capability to analyse vast datasets rapidly, identify emerging risks, and offer predictive insights that surpass human capabilities alone. However, understanding the practical implications and challenges of integrating GenAI into risk management processes is essential for maximising its benefits. Accordingly, this study aims to investigate how GenAI can be effectively employed across different stages of the risk management process, i.e., planning, identification, analysis, response, and monitoring and control, in the financial sector. Drawing on preliminary findings from an open-ended survey of risk management experts in Jordan, the study revealed that GenAI models exhibit significant potential in aiding risk management efforts at each stage. The findings indicate that these models can facilitate more accurate risk identification by capturing complex patterns in financial data, support timely responses to emerging risks, and enhance ongoing monitoring and control mechanisms. However, they also underscore the importance of addressing challenges such as data quality, interpretability, and ethical concerns. This research offers insights into the practical application of GenAI models in risk management, providing actionable guidance for financial institutions in Jordan and beyond. Furthermore, it highlights the importance of continued exploration and adoption of innovative AI technologies to strengthen risk management practices and ensure the resilience of the financial sector in the face of evolving challenges.


CRM Challenges
CRM Best Practice
Examining the Impact of Credit Risk Management Challenges on Bank Performance: The Mediating Role of Best Practices

November 2024

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264 Reads

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2 Citations

SSRN Electronic Journal

In the evolving landscape of banking, effective credit risk management (CRM) is crucial for maintaining financial stability and optimising performance. Commercial banks face numerous challenges in managing credit risk, which can significantly impact their overall performance and resilience. Understanding the relationship between CRM challenges and bank performance, along with the mediating role of best practices, is essential for navigating the complexities of modern banking systems, an area often overlooked in previous financial risk management literature. This study, therefore, investigates the impact of CRM challenges on bank performance, with a particular focus on the mediating role of CRM best practices. Employing a mixed-method research approach, the study integrates qualitative insights from credit risk experts with quantitative analysis using Partial Least Squares Structural Equation Modelling (PLS-SEM) to assess the effects of operational, regulatory, and technological challenges on bank performance. Initial findings highlight specific best practices that can mitigate these challenges and enhance banks' capacity to manage credit risk despite resource constraints. This research thus contributes to the existing literature by advancing the understanding of CRM dynamics in emerging markets and offering insights for banking practitioners and policymakers. The study also supports the development of adaptable CRM practices that strengthen stability and resilience within Jordan's banking sector, with broader implications for similar markets.


Theoretical and Practical Instantiations of Generative AI in Construction Risk Management: An Analytical Exposition of Its Latent Benefits and Inherent Risks

November 2024

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123 Reads

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4 Citations

The construction industry's increasing complexity and dynamic project environments engender advanced risk management strategies. AI-based risk management tools, reliant on complex mathematical models, often impose specialised coding requirements, leading to challenges in accessibility and implementation. In this vein, Generative Artificial Intelligence (GenAI) emerges as a potentially transformative solution, leveraging adaptive algorithms capable of real-time data analysis to enhance predictive accuracy and decision-making efficacy within Construction Risk Management (CRM). However, integrating GenAI into CRM introduces significant challenges, including concerns around data security, privacy, regulatory compliance, and a skills gap. Our research seeks to address these issues by presenting a systematic bibliometric analysis that explores evolving trends, key research contributions, and critical methodological approaches related to GenAI in CRM. Thus far, our investigation has analysed 23 selected research articles from an initial corpus of 212 papers, spanning the period from 2014 to 2024. Early insights delineate a marked escalation in research activity from 2020 onwards, a surge likely engendered by 2 recent advancements in AI technologies and their applicability to construction management. We categorise GenAI's potential benefits into technical, operational, technological, and integration-related advantages, encompassing improvements in risk identification, predictive capabilities, scheduling, and cybersecurity. Simultaneously, we identify significant risks, particularly related to data governance, social acceptance, and the operational impacts of AI-driven decisions. These preliminary findings underscore the imperative for systematic governance frameworks and proactive stakeholder engagement to optimise GenAI's benefits whilst mitigating its latent risks.



Figure 1: Fintech Applications and Challenges in Financial Risk Management within Emerging Markets
Capturing Fintech's Role in Optimising Financial Risk Management

October 2024

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99 Reads

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6 Citations

As Financial Technology (Fintech) continues to evolve rapidly, financial institutions recognise the need to integrate innovative solutions to enhance their risk management strategies. This acknowledgement stems from the potential benefits that Fintech offers in mitigating financial risks. However, despite this growing recognition, empirical research, particularly in emerging markets such as Jordan, remains scarce. To this end, this study aims to evaluate how Fintech applications impact the enhancement of financial risk management practices in Jordan. A questionnaire survey was developed and administered to 11 financial risk experts in Jordan to assess the effects of Fintech adoption on financial risk management. Participants evaluated the potential of Fintech applications, such as digital lending and credit, mobile banking, mobile payments, cryptocurrency, blockchain, and online trading, to improve financial risk management practices. The study findings indicate a perceived positive impact of Fintech adoption on enhancing the efficacy of financial risk management practices in Jordan. This study significantly contributes to the literature by shedding light on the positive impact of Fintech adoption on financial risk management, particularly in emerging markets like Jordan. Moreover, this study has important implications for policymakers, regulators, and banking practitioners, highlighting the importance of creating an enabling environment for Fintech adoption to address financial risks proactively.


Citations (62)


... Building capacity within the construction industry is essential for overcoming technical barriers. Educational initiatives and training programs can equip professionals with the skills needed to implement sustainable practices (49). For instance, the US Green Building Council (USGBC) offers training courses on LEED certification, empowering architects and contractors to design and execute green projects (50). ...

Reference:

SUSTAINABLE CONSTRUCTION PRACTICES: BALANCING COST EFFICIENCY, ENVIRONMENTAL IMPACT, AND STAKEHOLDER COLLABORATION
Exploring the nexus of stakeholder management, project performance and stakeholder satisfaction in Malaysian residential building projects: a PLS-SEM approach
  • Citing Article
  • December 2024

Engineering Construction & Architectural Management

... Additionally, [23] and [24] emphasize the role of data diversity and proprietary information in training more effective generative AI models. Finally, [2] and [6] showcase how LLMs can revolutionize credit risk assessment and econometrics by improving prediction accuracy by [18][19][20][21][22] These findings illustrate the broad and growing applications of generative AI in finance and other sectors, highlighting both the opportunities and challenges of integrating AI into traditional systems. ...

Examining the Integration of Generative AI Models for Improved Risk Management Practices in the Financial Sector

SSRN Electronic Journal

... Through collective resource management, these entities engender improved market access and extend bargaining power within complex supply chains Dacre, Yan, Dong, et al., 2024;Dacre, Yan, Frei, et al., 2024;Fischer & Qaim, 2012). These co-ops foster economic resilience by equitably distributing risks (Al-Mhdawi, O'Connor, et al., 2023;Mohamed et al., 2024) and rewards among members, promoting long-term viability and sustainable livelihoods (Altman, 2015;Candemir et al., 2021). However, the sustainability and effectiveness of these coops are increasingly tested by crises such as climate change (Tite et al., 2021a(Tite et al., , 2021b, economic volatility (Gkogkidis & Dacre, 2023), and global health emergencies, compelling agile and adaptive responses (Al-Mhdawi, Baxter et al., 2023;Boin et al., 2020;Dacre et al., 2019;Dong et al., 2024). ...

Theoretical and Practical Instantiations of Generative AI in Construction Risk Management: An Analytical Exposition of Its Latent Benefits and Inherent Risks

... Jordan's financial institutions, operating within a developing economy and a region often subject to geopolitical volatility, face distinct challenges in managing risks effectively (Al-Rjoub, 2021;Alshatti, 2016). Exploring how Generative AI could address these challenges may yield insights that are applicable not only locally but also to other similar contexts (Al-Mhdawi, O'Connor, et al., 2023;Dacre, AlJaloudi, et al., 2024;Mhlanga, 2020). As such, this study aims to explore the potential applications of GenAI in risk management, focusing on its possible roles in the processes of planning, identification, analysis, response, and monitoring, and to contribute to ongoing discussions about AI in finance, highlighting areas that warrant further exploration . ...

Capturing Fintech's Role in Optimising Financial Risk Management

... The integration of emerging technologies with infrastructure project delivery has influenced the evolution of risk assessment and management approaches, particularly as projects become increasingly complex and interconnected (Al-Mhdawi, O'connor, et al., 2024;Bai et al., 2024;Mohamed et al., 2024;Wu et al., 2018). In this vein, recent advances in artificial intelligence and digital transformation suggest new methodologies for evaluating and responding to project risks, whilst evolving frameworks for project success highlight the inherent influence of institutional contexts and stakeholder dynamics on project outcomes (Biygautane et al., 2019;Corbin et al., 2024;Eggleton et al., 2023;Jayasena et al., 2021). ...

Theoretical and Practical Instantiations of Generative AI in Construction Risk Management: An Analytical Exposition of Its Latent Benefits and Inherent Risks

... However, respondents also emphasised the challenges involved in implementing blockchain, particularly in a context where regulatory frameworks are still evolving. AI tools like ChatGPT, which have been evaluated for their adherence to standards such as ISO 31000, also demonstrate the capability of AI-driven solutions to offer structured risk management processes, making them particularly relevant for these contexts (Al-Mhdawi et al., 2023). ...

Expert Evaluation of ChatGPT Performance for Risk Management Process based on ISO 31000 Standard

SSRN Electronic Journal

... Whilst there are some industries and sectors that have benefited significantly from the introduction of AI technologies, such as the automotive industry and the retail sector, the construction sector remains slow to adopt new technologies, including AI (Dacre, AlJaloudi, et al., 2024;Dacre et al., 2019). The construction industry is a complex sector with multiple reasons for the slow uptake in available technologies (Al-Mhdawi, Sonjit et al., 2021b;Tite et al., 2021b). ...

Capturing Fintech's Role in Optimising Financial Risk Management

... In May 2020, the World Health Organisation (WHO) declared a global health pandemic caused by the novel coronavirus disease (COVID-19) (Dryhurst et al., 2020). The pandemic and resultant public health measures posed the greatest threat to global economic growth since the Great Recession (Namian et al., 2024;Qazi et al., 2024). According to the World Bank, the global economy contracted by 4.3% as a result of the pandemic, making it one of the top four global recessions in modern history (World Bank, 2021;Nabil et al., 2022). ...

From prevention to response: A holistic exploration of factors shaping Global Health Security
  • Citing Article
  • June 2024

Progress in Disaster Science

... This highlights the importance of the spatial component in food system intervention research and marks a key advancement compared to other BN food security studies. Other studies have not to a similar extent been able to demonstrate the ability to provide precise recommendations for targeted and effective policies (Eyre et al., 2021;Kleemann et al., 2017;Wang et al., 2020), and often face difficulties due to an overly broad scope (Qazi & Al-Mhdawi, 2024). On the other hand, others have sometimes more intensively involved stakeholders in the model design process, while we only included stakeholder perceptions in the conceptual models that underly our network structure (Eyre et al., 2021;Kleemann et al., 2017;Wang et al., 2020). ...

Sustainability and Adaptation Dynamics in Global Food Security: A Bayesian Belief Network Approach
  • Citing Article
  • June 2024

Journal of Cleaner Production

... Strategies like excess inventory, alternative configurations of SCR frameworks, vendor-managed inventory, capacity recovery, and backup suppliers are also recommended (Chowdhury et al., 2024;Hossain & Parvez, 2020;Ivanov, 2017bIvanov, , 2018. Additionally, digitalization, insurance, and government support can effectively mitigate SCD impacts (Pellegrino et al., 2024). These strategies provide the flexibility needed to restore SC performance , making them essential for achieving SCR. ...

Capturing key interdependences among supply chain disruptions and mitigation strategies to enhance firm performance
  • Citing Article
  • May 2024

International Journal of Quality & Reliability Management