Abroon Qazi
Biographic Data
| ID | 3722803 |
|---|---|
| NAME | Abroon Qazi |
| GIVEN NAMES | Abroon |
| FAMILY NAME | Qazi |
| SIGNATURE | QAZI A |
| AFFILIATIONS | American University of Sharjah |
| ORCID | 0000-0001-6648-3306 |
| VERIFIED | Yes |
| TOTAL WORKS | 21 |
| TOTAL CITATIONS | 21 |
| AUTHOR COUNT | 21 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2021 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 3 |
Urban mobility and transportation in circular cities
Urban mobility systems face mounting challenges, including congestion, air pollution, modal fragmentation, infrastructure deficits, and fossil fuel dependency, which hinder the transition to circular city models. This study systematically examines how blockchain and artificial intelligence (AI) can address six validated transportation and mobility challenges within the Circular City Actions Framework (CCAF). Employing a two-stage methodology, we …
Diagnostic analysis of business ecosystem resilience using Bayesian belief networks
Business ecosystem resilience has become an important concern for policymakers and firms operating in increasingly uncertain global environments. Despite the widespread use of national resilience indices, limited research has examined how multiple macro-level institutional, social, and economic indicators jointly relate to resilience outcomes within an integrated analytical framework. This study addresses this gap by conducting a probabilistic ne…
A Bayesian inference and machine learning based hybrid intelligence framework for modelling and assessing community resilience under uncertainty
Community resilience depicts a community's capacity to efficiently be prepared for, respond to and recover from disruptions while minimizing long-term impacts on social, economic, and environmental well-being. Given that the frequency and intensity of disruptions, such as natural hazards and economic shocks, have been steadily increasing, assessing and enhancing community resilience has become of paramount importance than ever. To that end, this …
When Sustainability Fails
This study examines how progress toward the Sustainable Development Goals (SDGs) influences global supply chain risk and resilience by conceptualizing SDG risk as an interconnected and probabilistic source of vulnerability. Unlike prior studies treating sustainability indicators as static and isolated factors, this research models SDG risks as interdependent drivers capable of generating cascading disruptions across global supply chains. It is am…
A Bayesian network approach to understanding how rule of law shapes ease of doing business globally
This study addresses the challenge of understanding how rule of law dimensions collectively shape the ease of doing business (EoDB) across countries. Despite the recognized importance of governance for business performance, prior research often examines rule of law factors in isolation, overlooking their interdependencies. To fill this gap, this study develops two Bayesian Belief Network (BBN) models using data from 128 countries: one analyzing t…
Trust and technology
This study investigates the impact of future technologies on the economy, quality of life, and Sustainable Development Goal (SDG) contributions through the lens of trust. It aims to analyze the role of trust indicators in shaping socio-economic outcomes and their broader implications for sustainable development. The study uses Bayesian Belief Network (BBN) modeling to examine relationships between trust indicators—“cybersecurity,” “secure interne…
Exploring university sustainability performance through the Environmental, Social, and Governance (ESG) framework using Bayesian belief networks
Sustainability is increasingly critical for universities as institutions influence environmental stewardship, social equity, and the management of economic resources. The Environmental, Social, and Governance (ESG) framework is a widely used tool to assess university sustainability efforts, providing insight into institutional policies, practices, and external contributions, such as alumni research and societal engagement. This study analyzes dat…
When Financial Analysts Become Climate Actors
Climate‐sensitive firms face mounting pressure to innovate environmentally, yet the role of market‐based information channels remains underexplored. This study examines whether firms positioned centrally within analyst climate coverage networks exhibit enhanced green innovation. Using panel data from 12,101 firm‐years across China's eight key emission sectors between 2014 and 2024, we find that firms with more central network positions produce mo…
Insights into food security
Purpose This study investigates the dependencies between the Global Food Security Index (GFSI) and its affordability-related indicators using Bayesian belief network (BBN) models. The research also aims to prioritise these indicators within a probabilistic network setting. Design/methodology/approach The research utilises BBN models to analyse data from 113 countries in 2022. Nine indicators related to food affordability, including income inequal…
Bayesian network perspectives on sustainable pathways
Exploring global food security from a Bayesian network perspective on food availability
Structural equation modeling and Fuzzy set theory
Exploring the impact of global competitiveness pillars on sustainable development
Exploring Global Competitiveness Index 4.0 through the lens of country risk
Evaluating Drivers of the Patient Experience Triangle
Patient experience is a widely used indicator for assessing the quality-of-care process during a patient's journey in hospital. However, the literature rarely discusses three components: patient stress, anxiety, and frustration. Furthermore, little is known about what drives each component during hospital visits. In order to explore this, we utilized data from a patient experience survey, including patient- and provider-related determinants, that…
Exploring dependencies among global environmental, socioeconomic, and technological risks
Network-based risk assessment of country-level sustainable development goals
Adoption of a probabilistic network model investigating country risk drivers that influence logistics performance indicators
Assessment of humanitarian crises and disaster risk exposure using data-driven Bayesian Networks
Prioritizing risks in sustainable construction projects using a risk matrix-based Monte Carlo Simulation approach
Sustainability-related risks and risk management frameworks have been introduced in the literature to help project managers identify and manage critical risks influencing project sustainability. Theoretically grounded in the framework of Monte Carlo Simulation, this paper introduces and operationalizes a new process for prioritizing sustainability-related project risks using risk matrix data. Sustainability-related construction project risks have…
Quality assessment of enterprise risk management programs
Enterprise risk management (ERM) is an important process for organizations to manage risks and identify opportunities in a holistic manner. Earlier studies have explored antecedents and consequences of ERM programs considering organizational, procedural, technical, and other related factors. However, limited evidence is available regarding the effectiveness of ERM programs. Using semi-structured interviews with ERM experts, this paper explores ho…
Network-based risk assessment of country-level sustainable development goals
Structural equation modeling and Fuzzy set theory
Exploring the impact of global competitiveness pillars on sustainable development
Quality assessment of enterprise risk management programs
Enterprise risk management (ERM) is an important process for organizations to manage risks and identify opportunities in a holistic manner. Earlier studies have explored antecedents and consequences of ERM programs considering organizational, procedural, technical, and other related factors. However, limited evidence is available regarding the effectiveness of ERM programs. Using semi-structured interviews with ERM experts, this paper explores ho…
Exploring dependencies among global environmental, socioeconomic, and technological risks
Adoption of a probabilistic network model investigating country risk drivers that influence logistics performance indicators
Assessment of humanitarian crises and disaster risk exposure using data-driven Bayesian Networks
Prioritizing risks in sustainable construction projects using a risk matrix-based Monte Carlo Simulation approach
Sustainability-related risks and risk management frameworks have been introduced in the literature to help project managers identify and manage critical risks influencing project sustainability. Theoretically grounded in the framework of Monte Carlo Simulation, this paper introduces and operationalizes a new process for prioritizing sustainability-related project risks using risk matrix data. Sustainability-related construction project risks have…
Quality assessment of enterprise risk management programs
Enterprise risk management (ERM) is an important process for organizations to manage risks and identify opportunities in a holistic manner. Earlier studies have explored antecedents and consequences of ERM programs considering organizational, procedural, technical, and other related factors. However, limited evidence is available regarding the effectiveness of ERM programs. Using semi-structured interviews with ERM experts, this paper explores ho…
Adoption of a probabilistic network model investigating country risk drivers that influence logistics performance indicators
Exploring Global Competitiveness Index 4.0 through the lens of country risk
Evaluating Drivers of the Patient Experience Triangle
Patient experience is a widely used indicator for assessing the quality-of-care process during a patient's journey in hospital. However, the literature rarely discusses three components: patient stress, anxiety, and frustration. Furthermore, little is known about what drives each component during hospital visits. In order to explore this, we utilized data from a patient experience survey, including patient- and provider-related determinants, that…
Exploring dependencies among global environmental, socioeconomic, and technological risks
Network-based risk assessment of country-level sustainable development goals
Structural equation modeling and Fuzzy set theory
Exploring the impact of global competitiveness pillars on sustainable development
Insights into food security
Purpose This study investigates the dependencies between the Global Food Security Index (GFSI) and its affordability-related indicators using Bayesian belief network (BBN) models. The research also aims to prioritise these indicators within a probabilistic network setting. Design/methodology/approach The research utilises BBN models to analyse data from 113 countries in 2022. Nine indicators related to food affordability, including income inequal…
Bayesian network perspectives on sustainable pathways
Exploring global food security from a Bayesian network perspective on food availability
Urban mobility and transportation in circular cities
Urban mobility systems face mounting challenges, including congestion, air pollution, modal fragmentation, infrastructure deficits, and fossil fuel dependency, which hinder the transition to circular city models. This study systematically examines how blockchain and artificial intelligence (AI) can address six validated transportation and mobility challenges within the Circular City Actions Framework (CCAF). Employing a two-stage methodology, we …
Diagnostic analysis of business ecosystem resilience using Bayesian belief networks
Business ecosystem resilience has become an important concern for policymakers and firms operating in increasingly uncertain global environments. Despite the widespread use of national resilience indices, limited research has examined how multiple macro-level institutional, social, and economic indicators jointly relate to resilience outcomes within an integrated analytical framework. This study addresses this gap by conducting a probabilistic ne…
A Bayesian inference and machine learning based hybrid intelligence framework for modelling and assessing community resilience under uncertainty
Community resilience depicts a community's capacity to efficiently be prepared for, respond to and recover from disruptions while minimizing long-term impacts on social, economic, and environmental well-being. Given that the frequency and intensity of disruptions, such as natural hazards and economic shocks, have been steadily increasing, assessing and enhancing community resilience has become of paramount importance than ever. To that end, this …
When Sustainability Fails
This study examines how progress toward the Sustainable Development Goals (SDGs) influences global supply chain risk and resilience by conceptualizing SDG risk as an interconnected and probabilistic source of vulnerability. Unlike prior studies treating sustainability indicators as static and isolated factors, this research models SDG risks as interdependent drivers capable of generating cascading disruptions across global supply chains. It is am…
A Bayesian network approach to understanding how rule of law shapes ease of doing business globally
This study addresses the challenge of understanding how rule of law dimensions collectively shape the ease of doing business (EoDB) across countries. Despite the recognized importance of governance for business performance, prior research often examines rule of law factors in isolation, overlooking their interdependencies. To fill this gap, this study develops two Bayesian Belief Network (BBN) models using data from 128 countries: one analyzing t…
Trust and technology
This study investigates the impact of future technologies on the economy, quality of life, and Sustainable Development Goal (SDG) contributions through the lens of trust. It aims to analyze the role of trust indicators in shaping socio-economic outcomes and their broader implications for sustainable development. The study uses Bayesian Belief Network (BBN) modeling to examine relationships between trust indicators—“cybersecurity,” “secure interne…
Exploring university sustainability performance through the Environmental, Social, and Governance (ESG) framework using Bayesian belief networks
Sustainability is increasingly critical for universities as institutions influence environmental stewardship, social equity, and the management of economic resources. The Environmental, Social, and Governance (ESG) framework is a widely used tool to assess university sustainability efforts, providing insight into institutional policies, practices, and external contributions, such as alumni research and societal engagement. This study analyzes dat…
When Financial Analysts Become Climate Actors
Climate‐sensitive firms face mounting pressure to innovate environmentally, yet the role of market‐based information channels remains underexplored. This study examines whether firms positioned centrally within analyst climate coverage networks exhibit enhanced green innovation. Using panel data from 12,101 firm‐years across China's eight key emission sectors between 2014 and 2024, we find that firms with more central network positions produce mo…
Business (12 works) · Bayesian network (9 works) · Computer Science (9 works) · Economics (9 works) · Sustainable development (7 works) · Supply Chain Resilience and Risk Management (6 works) · Sustainability (6 works) · Environmental economics (5 works) · Interdependence (5 works) · Corporate governance (4 works)