• The Journal of Asian Finance, Economics and Business
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• v.8 no.7
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• pp.433-446
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• 2021

This study aims to identify the elasticities and casualties of financial performance and determinants of the mining and extractive companies listed in Jordan's stock market over the 2005-2018 period. The conceptual framework is based on the Resource-Based View theory and Arbitrage Pricing theory is used to describe the relationship between the external environment and the financial performance of the companies. Profitability ratio (return on assets) is utilized as a proxy of financial performance measurement. Meantime, the company's characteristics, macroeconomic variables, and non-economic factors are utilized as independent factors. Data sources are panel data set for mining and extractive companies over the above period. Fully Modified Ordinary Least Square (FMOLS), Dynamic Ordinary Least Squares (DOLS), and Pooled Mean Group (PMG) methods are applied. The empirical findings indicated that company size, sales growth, financial leverage, liquidity, and GDP growth were the critical determinants of mining and extractive companies' financial performance in the Amman Stock Exchange. Thus, the findings conclude that company characteristics and GDP growth mainly drive financial performance. Moreover, the findings reveal that a bidirectional causal elasticity exists between GDP and financial leverage and return on assets (ROA). Sound financial performance can be obtained by paying more attention to GDP growth and firms' characteristics.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.3
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• pp.399-409
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• 2021

This study examines whether oil and gas companies comply with the requirements of the International Financial Reporting Standards (IFRS) 6 on Exploration and Evaluation (E&E) of Mineral Resources. For this purpose, a comprehensive checklist divided into eight different parameters was prepared by including every requirement of IFRS 6. While building on the previous studies, the annual reports of the top five Indian and top five Global companies engaged in this business have been investigated in detail against the checklist using content analysis as the research method. Results show that a majority of the companies (both Indian as well as global companies) have not been complying with the requirements of IFRS 6. In five out of eight parameters the companies have not complied with even half of the requirements. The overall compliance ratio is as low as 41.54 percent and 43.68 percent for Indian and Global companies respectively. While analyzing the non-compliance, it has been observed that despite having distinct accounting standards, different kinds of companies are reporting differently. Thus, it is not in line or consistent with the goal of IFRS i.e., to establish a universal language for the companies to prepare the accounting statements. The research findings identify the exact area of non-compliance while citing the relevant paragraph number of IFRS 6.

• Journal of KIISE:Software and Applications
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• v.36 no.7
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• pp.539-547
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• 2009

Software product line (SPL) engineering is an emerging paradigm for successful software reuse and has been adopted for various industrial and consumer products to improve their productivity and quality. However, most SPL methods require high initial costs and long development time, which makes many companies hesitate to adopt the SPL paradigm. In this paper we introduce a method to construct an SPL by extracting core assets from legacy components based on the feature model, which requires less initial time and effort. We also present a case study on cable set-top box software to illustrate the applicability of this method, and lessons learned that will provide guidelines for many companies to adopt the SPL paradigm.