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Possible Solutions to the World Crisis. An Accounting Perspective

Ciotina, Daniela; Fadur, Cristina-Ionela - In: CES Working Papers 2 (2010) 4, pp. 20-26

Purpose – Our aim is to seize the essential aspects of the economical-financial environment and the alternatives that the companies have in their confrontation with the current challenges, the reorganization of the company being regarded as an option for ensuring the continuity of their...

Persistent link: https://www.econbiz.de/10012016921

ICT as a re-engineering strategy on claim settlement in some selected insurance companies In Nigeria: The pandemic experience

Frances, Madu; Ejikeme, Isichei; Onodugo, Vincent - In: International Journal of Business and Economic Sciences … 14 (2021) 3, pp. 88-97

Purpose: This study addresses the effect of ICT on the relationship between re-engineering and the performance of some … validates the use of technology and the relevance of reengineering in operational re-enforcement for increased efficiency and … effectiveness of insurance services. The improvement in business process re-engineering is driven by ICT, and as a re-engineering …

Persistent link: https://www.econbiz.de/10014434614

Distribution network design under demand uncertainty using genetic algorithm and Monte Carlo simulation approach: A case study in pharmaceutical industry

Izadi, Arman; Kimiagari, Ali Mohammad - In: Journal of Industrial Engineering International 10 (2014), pp. 1-9

Distribution network design as a strategic decision has long-term effect on tactical and operational supply chain management. In this research, the location-allocation problem is studied under demand uncertainty. The purposes of this study were to specify the optimal number and location of...

Persistent link: https://www.econbiz.de/10011551825

Statistical models for the analysis of skewed healthcare cost data: A simulation study

Malehi, Amal Saki; Pourmotahari, Fatemeh; Angali, … - In: Health Economics Review 5 (2015) 11, pp. 1-16

Skewed data is the main issue in statistical models in healthcare costs. Data transformation is a conventional method to decrease skewness, but there are some disadvantages. Some recent studies have employed generalized linear models (GLMs) and Cox proportional hazard regression as alternative...

Persistent link: https://www.econbiz.de/10011599814

Distribution network design under demand uncertainty using genetic algorithm and Monte Carlo simulation approach: A case study in pharmaceutical industry

Izadi, Arman; Kimiagari, Ali Mohammad - In: Journal of Industrial Engineering International 10 (2014), pp. 1-9

Distribution network design as a strategic decision has long-term effect on tactical and operational supply chain management. In this research, the location- allocation problem is studied under demand uncertainty. The purposes of this study were to specify the optimal number and location of...

Persistent link: https://www.econbiz.de/10011640806

An overview of modified semiparametric memory estimation methods

Busch, Marie; Sibbertsen, Philipp - In: Econometrics 6 (2018) 1, pp. 1-21

Several modified estimation methods of the memory parameter have been introduced in the past years. They aim to decrease the upward bias of the memory parameter in cases of low frequency contaminations or an additive noise component, especially in situations with a short-memory process being...

Persistent link: https://www.econbiz.de/10011995214

Quantitative risk management in gas injection project: A case study from Oman oil and gas industry

Khadem, Mohammad Miftaur Rahman Khan; Piya, Sujan; … - In: Journal of Industrial Engineering International 14 (2018) 3, pp. 637-654

The purpose of this research was to study the recognition, application and quantification of the risks associated in managing projects. In this research, the management of risks in an oil and gas project is studied and implemented within a case company in Oman. In this study, at first, the...

Persistent link: https://www.econbiz.de/10011995861

Bank stress testing: A stochastic simulation framework to assess banks' financial fragility

Montesi, Giuseppe; Papiro, Giovanni - In: Risks 6 (2018) 3, pp. 1-54

We present a stochastic simulation forecasting model for stress testing that is aimed at assessing banks' capital adequacy, financial fragility, and probability of default. The paper provides a theoretical presentation of the methodology and the essential features of the forecasting model on...

Persistent link: https://www.econbiz.de/10011996640

Assessing the financial distress risk of companies operating under conditions of a negative cash conversion cycle

Szpulak, Aleksandra - In: e-Finanse: Financial Internet Quarterly 12 (2016) 4, pp. 72-82

The purpose of the paper is to point out the accounting-based variables and relationships between them which enable us to measure financial liquidity in a way appropriate for assessing the financial distress risk of companies operating under conditions of a negative Cash Conversion Cycle (CCC)....

Persistent link: https://www.econbiz.de/10012011879

Arekar, Kirti; Kumar, Sanjeevani - In: Journal of Applied Finance & Banking 1 (2011) 1, pp. 131-142

Investment of portfolio known that there is an important level of uncertainty about the future worth of a portfolio. The concept of value at risk (VAR) has been used to help describe a portfolio's uncertainty. The current trend of investment in India is to invest in stock market which...

Persistent link: https://www.econbiz.de/10010277142