In Indonesia, the success of coal extraction largely depends on the role of mining contractors. One of these successes is determined by proper asset management amidst uncertainty in the coal business, such as sustainability and digitalization issues. However, research that identifies the role of asset management in improving the performance of mining projects is still rare. Therefore, this research investigates the impact of Information technology capability, sustainability practices, and asset management on improving the performance of coal mining contractor projects in Indonesia. This research uses quantitative methods, with questionnaire data filled in by 128 project managers of mining contractor projects spread across Indonesia and analyzed by applying structural equation modeling (SEM). The findings indicate that Information technology capability and sustainability practices have a substantial and beneficial effect on improving asset management, which then enhances the performance of mining contractors. Interestingly, there is no direct impact of Information technology capability and sustainability practices on the operational performance of mining projects, so asset management is highly needed. The originality of this study is in the recognition of asset management as a valuable asset for firms that have integrated Information technologies & sustainability practices, as it promotes improved operational performance of projects, and there is still rarely any previous research that examines sustainability practices and asset management, especially mining projects. This research contributes to developing the resource-based view (RBV) theory and also contributes managerially to the practices that mining contractors must carry out when dealing with uncertain business situations.

This paper presents an empirical investigation to study the effect of market management using Markowitz theorem. The study uses the information of 50 best performers on Tehran Stock Exchange over the period 2006-2009 and, using Markowitz theorem, the efficient asset allocation are determined and the result are analyzed. The proposed model of this paper has been solved using genetic algorithm. The results indicate that Tehran Stock Exchange has managed to perform much better than average world market in most years of studies especially on year 2009. The results of our investigation have also indicated that one could reach outstanding results using GA and forming efficient portfolio.

Electricity distribution systems are considered as the most critical sectors in countries because of the essentiality of power supplement security, socioeconomic security, and way of life. According to the central role of electricity distribution systems, risk analysis helps decision maker determine the most serious risk items to allocate the optimal amount of resources and time. Probability-impact (PI) matrix is one of the most popular methods for assessment of the risks involved in the system. However, the traditional PI matrix is criticized for its inability to take into account the inherent uncertainty imposed by real-world systems. On the other hand, fuzzy sets are capable of handling the uncertainty. Thus, in this paper, fuzzy risk assessment model is developed in order to assess risk and management for electricity distribution system asset protection. Finally, a comparison analysis is conducted to show the effectiveness and the capability of the new risk assessment model.