Figure 2 - uploaded by Girish Nair
Content may be subject to copyright.
Source publication
There are several ratios which define the financial health of an organization but the importance of Net cash flow, Gross income, Net income, Pending bills, Receivable bills, Debt, and Book value can never be undermined as they give the exact picture of the financial condition. While there are several approaches to study the dynamics of these variab...
Similar publications
A generic systems dynamics (SD) model template for resilience is adapted to analyse flooding impacts on household assets and local government assets of Pasig City, Metro Manila. SD simulations are used to quantify the loss of system performance due to adverse impacts, and the recovery of the system due to response measures. The simulation results r...
Citations
... Nair Grish's analysis lays the groundwork for understanding the importance of the latter's assessment in financial performance analysis. The research emphasizes the need for adaptive approaches to financial performance assessment that can capture emerging market dynamics [1]. ...
The study evaluates the interaction of macroeconomic variables, regulatory changes and internal operations of banks in the context of financial results formation. The research applies certain approaches to the evaluation of financial results to create an appropriate framework, that reflects the dynamics of financial results of the RA banking sector. A wide range of factors including macroeconomic indicators, regulatory changes, market competition and strategies of Armenian banks are assessed to build a complete picture of financial performance that will also enable financial managers to make strategic and financial management decisions.
... SD was introduced by Jay Forrester in his book, Industrial Dynamics, in the early 1960s [56,57]. The SD model and methodology have been applied by various researchers [4,[58][59][60][61][62] in different problem situations. They were used to develop causal loop diagrams, flow diagrams, and the governing equations/situations. ...
The objective of this study is to elaborate on the development of micro and small enterprises (MSEs) at the bottom of the economy, where most of them began as unbanked micro-ventures and may continue to be micro-enterprises even after being elevated to higher levels. This study contributes to the field of entrepreneurial finance by identifying the factors that influence the drivers and constraints of MSE upgrading. This paper employed models to show how unbanked MSEs transition to bankable ones, as well as to reveal the dynamics of MSEs’ transition to bankability during the COVID-19 pandemic. This study’s unit of analysis is MSEs, which initially have little or no access to bank loans. This study employs system dynamics (SD) modeling to investigate and manage the multifaceted response system of MSEs’ growth toward bankability in the face of a coronavirus pandemic in Indonesia. This study also simulates a coronavirus pandemic outbreak to fine-tune MSEs’ progress toward bankability. The dynamic models in this study reveal a number of variables that are critical in accelerating the bankability status of MSE from un-bankable to bankable, namely entrepreneurial MSE time to bankability, channel business, and MSE NPL. Policymakers can create high leverage policies for MSE bankability progression by changing these values.
... Simulation has been widely used in several industries (i.e., manufacturing, healthcare services and Freile et al. [22] in supply chain management) however, it has been rarely applied to financial settings. In terms of modelling state pension system and/or social security system, a number of approaches has been developed including Monte Carlo simulation by Mielczarek [23] and Russo et al. [24]; system dynamics by Viehweger and Jagalski [25], and Pietroń [26]; agent-based modelling by Chen and Murata [27], Nair and Rodrigues [28] and Lychkina and Morozova [29]. ...
The feasibility of Turkish Individual Pension System (IPS) for participants is empirically investigated under different scenarios determined based on its special conditions. Firstly, a system behaviour of the Turkish IPS is modelled by using system dynamics simulation method by taking into account the historical data of a pension company operating in Turkey. After that, all pension plans are evaluated under five “what-if” scenarios depending on the participant's age and the investment period that the deductions and the investment returns are directly related to these conditions. Secondly, the key performance metrics (i.e., net present value and profitability index) are measured to better understand which pension plans are suitable or not for participants. In conclusion, the IPS investment is not suitable for short-term investments, however, all pension plans are profitable in the medium-long term. In the long term, the IPS, particularly dynamic and aggressive funds, is determined as a very profitable investment tool for participants.
... SD has been used to explore economic growth [5], public policy [6], agricultural conservation [7], urban development [8], business development [9], financial systems [10], demographics [11], and environmental systems [12]. SD has proven highly effective at the quantitative simulation of the dynamic consequences of policies. ...
Land subsidence resulting from the overexploitation of groundwater is an important issue in the Choshui River Basin, Taiwan. In the current study, we employed system dynamics simulation in modeling the supply of surface and groundwater, as well as the demand for water by industry, water deficits, and mechanisms underlying land subsidence. The proposed model was then used to estimate the magnitude of land subsidence and evaluate various management strategies. Our simulation results revealed that the vigorous enforcement of well sealing would have a modest effect on land subsidence; however, it would also have notable adverse effects on the agricultural community. We determined that reducing the demand for irrigation water (e.g., by switching to less water-intensive crops) would reduce land subsidence, while preserving profitability in those areas. In the future, this policy could be complemented by promoting the adoption of advanced irrigation technology and automatic systems to further slow the excessive exploitation of groundwater, with a corresponding effect on land subsidence.
... In this study, variables are defined as risk factors in order to examine the complex structure of RES investments. Nair and Rodrigues (2013) applied system dynamics modelling to the financial system with the purpose of highlighting the sustainable growth. Boateng, Chen, Ogunlana, and Ikediashi (2012) gave a wider approach to investment process development with system dynamics methodology and focused on megaprojects. ...
Technological improvements allow changing a significant part of the electricity generation investments to renewable energies. Especially in emerging markets and energy import-dependent countries, shift to renewable energy generation became more important to break the links of dependency. Pakistan relies on imported fossil fuels; however, the country’s experience and ambition about the renewable energy transition gain prominence in recent years. Considering the long-term life cycle of energy infrastructure investments, possible risk factors and their dynamic nature must be analysed before the financial decisions are taken. This article aims to propose a system dynamics model for the risk analysis of investment life cycle. In this study, possible risk factors are detected and discussed in different categories. The casual loop diagram of possible risk factors and risk assessment model are designed, and the impacts are analysed. Case study of the proposed model in Pakistan highlighted the importance of commercial risks. The results achieved through this study will guide investors, sector participants and policymakers to develop stable strategies for promoting renewable energy in the country.
JEL: Q42, P48, O13
... social science, engineering and economics when there is problematic environment with interrelations can haven many elements (Saraji and Sharifabadi, 2017). The three main steps of system dynamics modelling forecast are defining the problem, designing dynamic hypothesis to describe the causes of the problem, and developing a problem formulation which is used as a simulation to analyze different scenarios (Aiguer, 2013;Nair and Rodrigues, 2013;Saraji and Sharifabadi, 2017). System dynamics modelling includes feedbacks, causal relationships, analysis, simulation and different scenarios to understand fluctuations across different data (Aiguer et al., 2013). ...
... In addition, although used in a short-term forecast, system dynamics modelling is more useful for long-term forecasts (Lyneis, 2000). Although both grey prediction and system dynamics modelling can be used in problematic systems, the system dynamic modelling is a more comprehensive model (Nair and Rodrigues, 2013). Therefore, it needs more data for the study. ...
... In this study, only 4 years which is inadequate for data are available, system dynamics modelling to be built and understand the relations within the study. System dynamics modelling is a comprehensive scenario-based model and it is a computer-based system which uses simulation (Nair and Rodrigues, 2013); however, in this study it is only aimed to forecast losses in red meat sector in Turkey, without forecasts different parameters and therefore scenariobased models are not applicable. Although not used in the study, the model can be applied for different scenarios, and when different parameters will be forecasted. ...
Purpose
The purpose of this paper is to find solutions to improve the red meat sector in an emerging economy, Turkey, from the circular economy point of view, and taking sustainability approach. The need for circular management within the red meat sector in Turkey is emphasized by using Grey method. As theoretical contribution of this study, the investigation of the causes of losses at the slaughter stages of the red meat supply chain leads to proposals for sustainable and circular solutions.
Design/methodology/approach
Grey method is used to predict the number of slaughtered cattle and the amount of bone and blood waste in the slaughtering process between 2018 and 2020.
Findings
It is revealed that according to Grey prediction calculations, although the amount of slaughtered cattle, bone and blood waste seem have decreased between 2018 and 2020, there are still significant losses in Turkish red meat sector. For bone waste, this is expected to be 56,581,200 kg in 2018, 48,235,840 kg in 2019 and 41,121,380 kg in 2020. For blood waste, it is expected to be 24,754,275 kg in 2018, 21,103,180 kg in 2019 and 17,990,604 kg in 2020.
Social implications
The proposed model in the study will contribute on sector revitalization, increase in product safety, quality and hygiene, development in the management of training and education centers for farmers/labors and increase in employment.
Originality/value
This paper represents policymakers with a proposal for triple bottom line (TBL) based circular and central slaughterhouse model, based on TBL, which brings social, economic and environmental benefits for the red meat sector in Turkey.
... Huang and Kunc [52]; Khaledi [48]; Nair and Rodrigues [60]; Schwarz and Schoeneborn [47] Debt (C) ...
... Khaledi [48]; Nair and Rodrigues [60] Cashflow (C/B) x x The incomes and outcomes of the company result in a certain amount of in-and outpayment in each period. ...
... Huang and Kunc [52]; Khaledi [48]; Nair and Rodrigues [60]; ...
Despite the fact that Building Information Modelling (BIM) is one of the most promising technological developments for the architecture, engineering and construction (AEC) industry, the body of literature addressing its financial implications on corporate level is still limited. Therefore, we propose a quantification model that is based on design science research and provides an enhanced understanding of cost and benefit implications arising from BIM investments from a systems theory perspective. The quantification model developed in System Dynamics (SD) is based on a literature review as well as a case study, whereby the socio-technical nature of BIM, its various tangible and intangible benefits as well as its multiple impact levels on the corporate system are taken into account. The results of our simulation experiments within the scope of the case study reveal that the interplay of costs and benefits of BIM with the subsystems of the organisation is manifold, which results in a long-term improvement of the company’s economic performance. Through the lens of systems theory, the financial impacts of the BIM investment can be examined by integrating all costs and benefits into the subsystems of the organisation and by investigating their interplay on system level rather than treating them as isolated system elements.
(Journal article freely available until May 27, 2018 at https://authors.elsevier.com/a/1WrhCbquF9B9g)
... Based on the big picture comprising all utility effects as illustrated in Fig. 5, we develop a causal loop diagram using Vensim PLE software (Ventana Systems, Inc. 2017), one of the most common SD software tools regarding the multitude of simulation models developed in it (Coyle 1996;Sterman 2000;Nielsen and Nielsen 2008;Huang and Kunc 2012;Nair and Rodrigues 2013). The causal loop diagram contains all utility effects on division, corporate and market level (Fig. 5) except those which are highlighted in dark grey colour. ...
The body of literature in the area of IT/IS investment evaluation proposes a variety of methods and techniques for the ex-ante assessment of IT/IS investments. However, the financial evaluation of intangible benefits associated with IT/IS investments in general and investments in innovative IT/IS in particular still remains a problem area of high relevance to decision makers. As a consequence, investment decisions are still taken by practitioners as an “act of faith”. With this in mind, it is our primary aim to develop a quantification model for the financial assessment of intangible benefits concerning investments in innovative IT/IS. Based on an augmented reality and smart glasses application scenario from the construction domain, we demonstrate how intangible benefits of innovative IT/IS investments can be visualised and measured more effectively by means of utility effect chains and system dynamics prior to their incorporation into a cost–benefit analysis. Based on design science research, the quantification model is developed by means of a systematic literature review and evaluated using the augmented reality application scenario in construction. The model can serve as an aid to the managerial decision making process by providing an enhanced understanding of the various tangible and intangible benefits associated with the investment.
(Full-text view-only version available at http://rdcu.be/CP3Q)
... In this paper, the methodology used is a System Dynamics (SD) approach, which was proposed by Forrester (1961) and has been applied in various research (including [16][17][18][19]) in different problem situations in developing financial and project management. ...
In a build, operate, and transfer (BOT) scheme, as Project Finance (PF), equity investors are concerned about the adequacy of their returns. On the other hand, the timeliness of the project debt service payments focuses to the lenders. Consequently, an important role is played by PF and risk modeling to ensure that structure of the project management is a prerequisite. Nevertheless, the complexity of future infrastructure project will become more complicated. Not only will the limitations of stakeholders to understand others when evaluating a project will become more prevalent, but also the competition force the bidders to become increasingly innovative in their financing modeling. The aim of this paper is to propose a new technique to calculate project finance and risks using System Dynamics (SD) approach with sysdea modeling. The model builds confidence and its policy implications. This paper results is PF and risk modeling should use an SD approach in toll road projects.
... The plating time was 30 min. The bath temperature was maintained at 70 °C throughout the deposition process [18]. After the deposition, the product obtained was washed thoroughly with distilled water and then dried at 70 °C in a vacuum oven overnight, thus completing the electroless deposition process. ...
... [17] A.M. Abioye, Z.A. Noorden, F.N. Ani, Synthesis and Characterizations of Electroless Oil Palm Shell Based-Activated Carbon/Nickel Oxide Nanocomposite Electrodes for Supercapacitor Applications, Electrochimica Acta, 225 (2017) 493502. [18] Z.-A. Hu, Y.-L. ...
... Flash temperature parameter (FTP) is a single number for a lubricant that fail under certain given condition showing the possibilities of lubricant films for breaking down [18]. The flash temperature parameter will decrease when wear scar diameter is increasing with load. ...
The purpose of this study is to determine the level effectiveness, implementation and sustainability of three hierarchial regulations related to Water Quality management at Cisadane River, Tangerang City. Regulations related to the quality of river water that will be studied is the Government Regulation No. 82/2001 [1] on Management of Water Quality and Water Pollution Control, Banten Provincial Regulation No. 10/2012 [2] on Protection and Environmental Management, and Tangerang City Regional Regulation No. 2/2013 [3] on Management of Water Quality and Water Pollution Control. Reviewed aspects is the role of government, institutional management, technical operations, financial and funding, and public participations. Overall aspects analized using SWOT method. The result of this study show that the regulations related to the management of river water quality have not been able to be applied properly. Evaluation need to be done thorough of all stakeholders so that the rule can be applied, especially given that the Province of Banten not have regulations on water quality management, and given the Government Regulation No. 82/2001 [1] has to be revised.
