Aima Khan

Postdoctoral Fellow

Department of Working Life and Innovation

Email: aima.khan@uia.no
Phone: +47 37233456
Mobile phone: +4798022908

Office A-162 (Jon Lilletuns vei 3, 4879 Grimstad, Norway)

Research groups

Areas of responsibility

Aima Khan is a postdoctoral researcher at the Department of Working Life and Innovation, University of Agder (UiA). She has a doctorate in system dynamics (with focus on corporate finance) from University of Bergen (UiB). She has solid background in the field of Finance (MS in Management Science and MBA with specialization in Finance). She has teaching experience in accounting and finance at bachelor's and master's level. She also has some supervision experience.

Her professional interests are mainly about financial analysis specifically corporate finance, business valuation, and financial policies analysis with focus on decision making and policy analysis. She has published her work in Journals such as System Dynamics Review and Systems Research and Behavioral Science.

Aima is working as part of the Dig CBA Project (Responsible use of cash-based assistance). The project focuses on supporting the use of technology to deliver humanitarian assistance in refugee crisis. She is using system dynamics (SD) and multicriteria decision analysis (MCDA) for her research.

Research

Corporate Finance

System dynamics modelling and simulation

Policy and scenario analysis

Selected publications

HOW DO OIL PRICES AND INVESTMENTS IMPACT THE
DYNAMICS OF FIRM VALUE?
Aima Khan, Muhammad Azeem Qureshi, Pål Ingebrigt
Davidsen| 2020
"System dynamics Review" Volume 36(1), 74-100.
A SYSTEM DYNAMICS MODEL OF CORPORATE FINANCING
POLICY FOR FIRM VALUE MAXIMIZATION
Aima khan, Muhammad Azeem qureshi, Pål Ingebrigt
Davidsen| 2020
"Systems Research And Behavioral Science".
POLICY ANALYSIS TO MAXIMIZE THE FIRM VALUE:
POLICY ANALYSIS USING SYSTEM DYNAMICS
Aima Khan , Muhammad Azeem Qureshi | Accepted 2021
Journal of Modelling in Management
A SYSTEM DYNAMICS MODEL OF EXCHANGE RATE
DETERMINATION AND FORECASTING
Aima Khan | 2020
SEISENSE Journal of management, 3 (4), 44-55
MAXIMIZING OWNER’S WEALTH UNDER UNCERTAINTY
AND VOLATILITY: A SYSTEM DYNAMICS APPROACH
USING EVIDENCE FROM NORWEGIAN OIL SECTOR
Aima khan, Pål Davidsen, Muhammad Azeem Qureshi|
2016
34th International Conference of the System Dynamics
Society. Delft, Netherlands.
https://www.systemdynamics.org/assets/conferences/2016
/proceed/inde x.html
PORTFOLIO BALANCE APPROACH: AN EMPIRICAL
TESTING
Aima khan, Zaheer Abbas | 2015
Journal of economics and international finance, 7(6), 137-
143
CALENDAR ANOMALIES, REALITY OR AN ILLUSION? KSEPAKISTAN
Muhammad Ibrahim khan, Muhammad Suleman Khan,
Aima Khan| 2014
Journal of economics and international finance, 6(4), 80-
84
RELATIONSHIP OF FOREIGN DIRECT INVESTMENT AND
STOCK MARKETS
Aima khan | 2016
Scholars press

Aboughonim, Ahmed Abdeltawab Abdelgawad S.; Khan, Aima & Baharmand, Hossein (2023). Exploring gaps in using digital delivery mechanisms for cash-based assistance in refugee crises. International Journal of Disaster Risk Reduction. ISSN 2212-4209. 96. doi: 10.1016/j.ijdrr.2023.103907.
Khan, Aima & Qureshi, Muhammad Azeem (2023). Policy analysis to maximize the firm value: performing firm valuation using system dynamics. Journal of Modelling in Management. ISSN 1746-5664. doi: 10.1108/JM2-10-2020-0272.
Khan, Aima; Qureshi, Muhammad Azeem & Davidsen, Pål (2020). How do oil prices and investments impact the dynamics of firm value? System Dynamics Review. ISSN 0883-7066. 36(1), p. 74–100. doi: 10.1002/sdr.1649.

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Khan, Aima; Baharmand, Hossein & Besiou, Maria (2023). Digital cash based assistance: Qualitative modelling using system dynamics. Show summary
Digital CBA refers to the use of digital technologies to deliver cash in humanitarian contexts. This study focuses on the selection of cash delivery mechanism in refugee crises and explores the feasibility requirements for using different technologies in CBA. The study uses system dynamics methodology to map the feasibility requirements for digital CBA. The developed CLD is informed by a systematic review of the literature and validated through interviews with CBA experts active in Uganda. The study contributes by enhancing the intuition and understanding for the delivery mechanism selection in refugee crises to facilitate the decision making by humanitarian actors.
Baharmand, Hossein; Khan, Aima; Maghsoudi, Amin; Ntayi, Joseph; Widera, Adam & Abdelgawad, Ahmed Abdeltawab [Show all 10 contributors for this article] (2022). DigCBA – Project Annual Report #1. Universitetet i Agder. ISSN 978-82-8427-126-2.
Abdelgawad, Ahmed Abdeltawab; Khan, Aima & Baharmand, Hossein (2022). DigCBA D1.2–Digital Cash-Based Assistance Technologies: Literature Review Report and Gap Analysis. Universitetet i Agder. ISSN 978-82-8427-124-8.

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Published Apr. 16, 2024 11:11 AM