The relationship between sustainability and business has become one of the central debates at the national and international level in both industrialized and emerging countries. A series of existing business models lack some critical aspects. The automotive industry strongly affects economic development, requiring rethinking business models in order to reduce their impact on the environment. An evaluation of the websites of the major automotive industry companies shows they have reported sustainability (through different methods) and present various practices in implementing organizational sustainability (OS). This paper aims to present a new business model for the automotive industry that takes into account the three dimensions of sustainability and emphasizes the importance of involving stakeholders in the OS approach. This model is developed based upon the literature review of three focus groups with a participation of 33 automotive industry members, of which three are highly-skilled experts of the industry. The proposed sustainable development model is scientifically relevant as it considers that all dimensions of sustainability exist and aims to increase organizational capacity for sustainable organizational development. It is also relevant from a practical point of view because it has been developed and validated by industry experts with automotive industry companies, taking into account the industrial, technical, and technological requirements for organizational sustainability assessment. The findings of this research will guide shareholders and managers in planning and developing organizational strategies.

This research article investigates the synergies between artificial intelligence (AI), digital transformation (DT), and financial reporting systems within the business context. The central theme explores how organizations enhance their decision-making processes by integrating AI technologies into digital transformation initiatives, particularly in financial reporting. The focal point is comprehending how the synergy of these integrated systems can unlock substantial business value, instigate strategic innovation, and elevate overall financial analytics through the adoption of intelligent, data-driven decision-making methodologies. By harnessing advanced analytics, automation, and adaptive decision support capabilities, organizations navigate the complexities of a rapidly evolving business environment, in which neural networks emerge as a valuable tool for calibrating outcomes in the financial accounting environment, demonstrating effectiveness in processing complex financial data, identifying patterns, and making predictions, ushering in a new era of transformative possibilities. The introduction of a game theory payoff matrix in this AI decision-making tool adds a strategic framework for analyzing interactions among decision-makers, considering strategic choices and outcomes in a dynamic and competitive context.

Currently, sustainability and sustainable development are issues that concern society due to the high degree of pollution and the measures taken that, in many cases, do not prove their efficiency. Economic entities are aware that their involvement in the community has become necessary for the sustainable development of any business. The promotion of responsibility towards the environment is an important principle of corporate social responsibility (CSR), which is becoming an obligation that can no longer be exempted. Our intention in this paper was to study the changes generated by the European Union (EU) Directive 2014/95 regarding the manner in which oil entities listed at the Bucharest Stock Exchange (BSE) and the Athens Stock Exchange (ATHEX) between 2014 and 2018, report environment-related information. We also identified whether entities in fields that are known as polluting were more sensitive to environmental factors and if they tended to report more information compared to other business sectors. To achieve these objectives, we used qualitative and quantitative research. Namely, we analyzed the entities’ non-financial reports, to identify their social responsibility actions, and we tested if they were correlated with the environment protection and also with the 2014/95 European directive stipulations. For the entities operating in this polluting area, demonstrating transparency regarding the efforts and investments made to counteract the environmental impacts is important. Non-financial corporate reporting can be an opportunity to integrate sustainability into a company’s business practices and strategies to obtain benefits and to increase efficiency and, thus, to increase stakeholder confidence. The contribution of our study is to highlight the importance of non-financial information for the sustainable development of companies and the environment.

Digital technology has drastically transformed businesses’ activities, operations, and processes. Today, digital efficiencies have inspired companies to take initiatives to leverage the firm’s environmental performance. The study’s primary purpose was to examine how a digital transformation strategy affects environmental performance under the mediating role of innovation capabilities and moderating role of digital organizational culture. The data was obtained from manufacturing industry employees in Pakistan. The results reveal that digital transformation strategy (DTS) positively and significantly affects innovation capabilities and environmental performance. The link between digital transformation and environmental performance is mediated by innovation capabilities, while digital organizational culture moderates the relationship between innovation capabilities and environmental performance.