Firouzeh TaghikhahThe University of Sydney · Discipline of Business Analytics
Firouzeh Taghikhah
Doctor of Philosophy
About
26
Publications
10,202
Reads
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318
Citations
Citations since 2017
Introduction
Additional affiliations
January 2019 - June 2019
Ernst & Young, Sydney, Australia
Position
- Consultant
August 2016 - August 2019
July 2016 - present
Position
- Lecturer
Description
- Global operation and supply chain management System engineering Value chain engineering Operation engineering Quality and management system Technology and innovation management system Information system
Publications
Publications (26)
Electric vehicles (EV) are a promising alternative for the current fossil-fuel-based vehicles. However, as of 2020, the share of EV sales was only 4.6% globally, and 1% in Australia. It is important to identify factors that promote or hinder consumer intentions of EV adoption. In addition, there are a few types of EVs, each with different advantage...
Global supply chains (SCs) have been severely impacted by the COVID-19 pandemic on several levels. For example, SCs suffered from panic buying-related instabilities and multiple disruptions of supply, demand, and capacity during the pandemic. This study developed an agent-based model (ABM) to predict the effects of panic buying-related instabilitie...
While agent-based modeling (ABM) has become one of the most powerful tools in quantitative social sciences, it remains difficult to explain their structure and performance. We propose to use artificial intelligence both to build the models from data, and to improve the way we communicate models to stakeholders. We use machine learning to facilitate...
In the efforts to ensure the health of the Australian population during the COVID pandemic, social, economic, and environmental aspects of people's life were impacted. In addressing the pandemic risks, a number of governments prioritized people's health and well-being over GDP growth. The Genuine Progress Indicator (GPI) is used to account for fact...
When residential rooftop solar photovoltaic (PV) systems are widely accepted across society, the uptake of home battery energy storage systems is closely tied to the PV-status quo and the behaviour previously taken by households. This study proposes that a decision of acceptance or rejection of PV systems is the past behaviour of the battery adopti...
Global supply chains (SCs) have been severely impacted by the COVID-19 pandemic on several levels. For example, SCs suffered from panic buying-related instabilities and multiple disruptions of supply, demand, and capacity during the pandemic. This study developed an agent-based model (ABM) to predict the effects of panic buying-related instabilitie...
Threats to sustainable food production are accelerating due to climate change, population growth, depletion of natural capital, and global market instability. This causes significant risks to farmers, consumers, and financial and policy institutions. Understanding agro-ecosystems, and how varying management styles can impact their performance is cr...
Supply chain resilience (SCRES) is an emerging research area, which plays a crucial role in protecting supply chains (SCs) against small- to large-scale disruptions. Over the past few years, many researchers have focused on developing SCRES strategies that have significantly contributed to mitigating SC disruptions. While the number of papers on th...
Huge masses of waste containing hazardous but often valuable metals are being produced worldwide. Recycling these wastes is necessary because mineral deposits are being depleted rapidly, making mining more expensive, and recycling hazardous metal compounds reduce environmental contamination. Compared to conventional methods of metal recycling, such...
Human-induced climate change and deterioration of our natural environment are critical problems. Advanced technologies, such as artificial intelligence (AI), offer potential for the development of solutions. Machines that learn by acquiring knowledge and perform human-like tasks can help humans reduce their intense use of natural resources and impr...
Huge masses of waste containing hazardous but often valuable metals are being produced worldwide. Recycling these wastes is necessary because mineral deposits are being depleted rapidly, making mining more expensive, and recycling hazardous metal compounds reduce environmental contamination. Compared to conventional methods of metal recycling, such...
Recipient's absorptive capacity (ACAP) is a barrier to knowledge transfer in organizations. The technology readiness (TR) dimensions measure an individual's technological beliefs and aligns with the individual's ACAP. The purpose of this research is to study if technological beliefs have a causal effect onto individual learning capability and behav...
Supply chain (SC) disruptions lasting a month or longer are reported every 3.7 years, according to McKinsey Global Institute research. SCs have specific risks that are based on their exposure to shocks of different types. As an example of a severe disaster, the COVID-19 pandemic has had a crippling effect on business operations and safety for SCs a...
Consumer behavior is key in shifts towards organic products. A diversity of factors influences consumer preferences, driving planned, impulsive, and unplanned purchasing decisions. We study choices among organic and conventional wine using an extensive survey among Australian consumers (N = 1003). We integrate five behavioral theories in the survey...
The current COVID-19 pandemic has hugely disrupted supply chains (SCs) in different sectors globally. The global demand for many essential items (e.g., facemasks, food products) has been phenomenal, resulting in supply failure. SCs could not keep up with the shortage of raw materials, and manufacturing firms could not ramp up their production capac...
In participatory modeling (PM), a conceptual model emerges from an exchange of information and opinions among stakeholders. This usually happens in a series of in-person workshops restricted to a certain number of attendees during designated time intervals. Our goal is to open up the PM workshop process to engage an unlimited number of participants...
Computational social science has witnessed a shift from pure theoretical to empirical agent-based models (ABMs) grounded in data-driven correlations between behavioral factors defining agents' decisions. There is a strong urge to go beyond theoretical ABMs with behavioral theories setting stylized rules that guide agents' actions, especially when i...
Organic food has important environmental and health benefits, decreasing the toxicity of agricultural production, improving soil quality, and overall resilience of farming. Increasing consumers’ demand for organic food reinforces the rate of organic farming adoption and the level of farmers' risk acceptance. Despite the recorded 20% growth in organ...
The current intense food production-consumption is one of the main sources of environmental pollution and contributes to anthropogenic greenhouse gas emissions. Organic farming is a potential way to reduce environmental impacts by excluding synthetic pesticides and fertilizers from the process. Despite ecological benefits, it is unlikely that conve...
In today's growing economy, overconsumption and overproduction have accelerated environmental deterioration worldwide. Consumers, through unsustainable consumption patterns, and producers, through production based on traditional resource depleting practices, have contributed significantly to the socio-environmental problems. Consumers and producers...
A serious game was designed and developed with the goal of exploring potential sustainable futures and the transitions towards them. This computer-assisted board game, Last Island, which incorporates a system dynamics model into a board game's core mechanics, attempts to impart knowledge and understanding on sustainability and how an isolated socie...
Railway disturbance management is inherently a multi-objective optimization problem that concerns both the operators’ cost and passenger’s service level. This study proposes a multi-objective simulation-based optimization framework to effectively manage the train conflicts after the occurrences of a disturbance caused by a temporary line blockage....
Over the last few years, the pressure for decreasing environmental and social footprints has motivated supply chain organizations to significantly progress sustainability initiatives. Since supply chains have implemented sustainability strategies, the volume of economic, environmental and social data has rapidly increased. Dealing with this data, b...
Recent pressure from governments and customers on supply chain organizations to consider environ-mental and social issues has increased dramatically. The challenge ahead for supply chain managers is how to grow business profit while protecting the planet and respecting people’s rights. The significance of this issue motivates researchers in the fie...
Projects
Project (1)
Every day, diabetes, one of the top 10 leading causes of death in the world, occurs in 280 Australians. For every 5 diagnosed cases of diabetes, there are 4 undiagnosed cases who do not seek help until they have developed complications. The high prevalence of undiagnosed diabetes and the increased risk of diabetes motivate us to study delays before the diabetes diagnosis and health-seeking behaviour of individuals with symptoms. We aim to 1) assess healthcare-seeking behaviour and delay in treatment of diabetes patients, 2) identify factors influencing diabetes choice of health system access level. Agent-based modelling, a class of complex systems methods, is utilized to understand the behavior of diabetes patients in two Statistical Area 2 regions, Gilagandra and Narromine, located in Dubbo Statistical Area 3. While there are three primary care providers and one hospital in the former, there are only one primary care and one hospital in the latter. Both spatial and non-spatial factors are considered in our behavioral model to examine the time and cost of diabetes diagnosis. With regard to spatial factors, the simulation results demonstrate that proximity to health care facilities is an important factor influencing individuals’ decisions about both seeking help and choosing health services. With regards to non-spatial factors, firstly, we find that having knowledge and information about diabetes symptoms and taking the risk of disease serious reduce the patients delay in seeking cure and treatment. Secondly, our analysis shows that social norms and personal experiences with the health care system can significantly influence the help-seeking behavior of patients. This tool can aid decision-making by conducting different “what-if” scenarios such as improved screening for the disease at primary care, further education of patients, and strengthening existing policies and legislation to control diabetes.
