Coal mining is a very important sector in Indonesia, but there has been a decline in the realization of coal production in recent years, so this can reduce state revenues. One of the big challenges in the mining sector is the uncertainty of the mining business, such as information technology and sustainability concerns, that affect the mining industry's supply chain procedure. The purpose of this examination is to identify and determine the performance of supply chain resilience in the face of business uncertainty by determining the function of IT capabilities and sustainability practices in coal mining contractors. This research was conducted using a quantitative research method approach that was carried out using a structured survey instrument. The methodology employed in this study is built on purposive sampling, which is a non-probability selection method. The researchers used the Structural Equation Model (SEM) to examine data that were gathered from a sample of 128 project managers of coal mining contractors in Indonesia. The findings of this study demonstrated that project operational performance was significantly and favorably impacted by supply chain resilience. Additionally, a major and advantageous mediating IT skill in the operational execution of projects is supply chain resilience. Furthermore, it was shown that the use of IT capacity and the implementation of sustainability practices had a noteworthy and favorable influence on enhancing the performance of mining contractor projects. This research also provides information that environmental dynamism does not significantly moderate supply chain resilience on mining project performance. The novelty of this research is the contribution of supply chain resilience as an important resource for organizations that are integrated with IT capabilities to encourage increased project operational performance, especially for coal mining contractors. Additionally, research is still rarely carried out in between sustainability practices and supply chain resilience in the mining sector. It is concluded that coal mining contractor projects need to build supply chain resilience at the site amidst the uncertainty of the coal mining business.

This study focuses specifically on the effect of Entrepreneurial Values and Entrepreneurial Orientation on Financial Performance of Indonesian state-owned enterprise and also incorporates Environmental Dynamism (ED) and Resource Availability (RA) as moderating variables which will influence the effect of (i) Entrepreneurial Orientation (EO) on Financial Performance (FP), (ii) Entrepreneurial Values (EV) on Financial Performance (FP), and (iii) Entrepreneurial Values (EV) on Entrepreneurial Orientation (EO). In addition, this study also provides a better understanding about the effect of Financial Performance on Intention to Sustainable Development (ITS) as well as Financial Performance on Intention to Collaboration (ITC) in Indonesian state-owned enterprises. The method of analysis used in this study is PLS-SEM methodology with purposive sampling method. The unit of analysis is all the state-owned enterprises listed which consists of 81 out of 106 state-owned enterprises, while the unit of observation is individuals from those state-owned enterprises (represented by the paired CEO and CFO who are originated from the same company). The findings of this study are that there is a significantly positive effect of: (i) EV on EO; (ii) EO on FP; (iii) FP on ITS; and (iv) FP on ITC. Meanwhile, (i) there is not any significantly positive effect of EV on FP, and (ii) there is no significant moderating effect of ED and RA on the relationship between (1) EV and FP, (2) EO and FP, as well as (3) EV and EO.

The global supply networks have been disrupted and weak connections exposed to an extent that few people have ever seen in their lifetime due to the COVID-19 epidemic. As a result of the severity of the crisis, every country and industry is feeling the effects, and the massive shifts in demand and supply that have happened throughout the epidemic are easily distinguishable from the effects of previous crises. We looked into the adaptability of alliance management and AI-driven supply chain analytics in the context of an ever-changing external environment. We examined four hypotheses in this area using survey data from the American auto components manufacturing industry. To do the analysis, we used Smart PLS. Alliance management capabilities, mediated by AI-powered supply chain analytics capacity, have been found to increase an organization's operational and financial performance. We also discovered, with environmental dynamics as a moderating factor, that alliance management capability has a substantial impact on AI-powered supply chain analytics capabilities. Based on our findings, we have a deep appreciation for the interplay between dynamic capacities and the relational view of organization. Finally, we pointed up the limitations of our study and offered a number of directions for future investigation that might help address some of the concerns that our results raise.