If in the past, the success of innovation was measured primarily in the economic sphere, recently the non-economic sphere has increasingly become more of a matter of corporate management and, therefore, of innovation management. Management’s acquisition of non-economic aspects has been strongly influenced by the vision of sustainable development. Sustainability is a direction of action important for innovation as well, integrating economic, social, and environmental responsibility in the management of innovation, leading to sustainability-oriented innovation (SOI). Research on SOI approached innovation processes has been carried out in large companies, however in recent years the use of TRIZ (teoriya resheniya izobretatelskikh zadach) tools has been tried for SOI. The TRIZ-based approach is a valuable tool because it does not require an encyclopedic knowledge of field-specific technology and it enables the expansion of the scope of problem solutions beyond the skills of the team members. This paper discusses the concepts of sustainability, innovation, and risk management in small and medium-sized enterprises (SMEs) for the purpose of developing a flow chart for the implementation of the TRIZ method in SMEs and for evaluating the state of innovation in such companies. Through the use of the TRIZ method in the field of SMEs, fast and efficient processes, products, and sustainable services have been obtained.

For the first time, this study presents a cyber–physical framework that reconciles the long-standing conflict between transparent queue analytics and adaptive machine learning in flexible manufacturing systems. Deterministic indicators, utilization, expected queue length, waiting time, and idle probability, are fused with topological embeddings of the routing graph and ingested by a graph convolutional network that predicts station congestion with calibrated confidence intervals. Shapley additive explanations decompose every forecast into causal contributions, and these vectors, together with a percentile-based risk metric, steer a mixed-integer genetic optimizer toward schedules that lift throughput without breaching statistical congestion limits. A cloud dashboard streams forecasts, risk bands, and color-coded explanations, allowing supervisors to accept or modify suggestions; each manual correction is logged and injected into nightly retraining, closing a socio-technical feedback loop. Experiments on an 8704-cycle production census demonstrate a 38 percent reduction in average queue length and a 12 percent rise in throughput while preserving full audit traceability, enabling one-minute rescheduling on volatile shop floors. The results confirm that transparency and adaptivity can coexist when analytical priors, explainable learning, and risk-aware search are unified in a single containerized control stack.

Nowadays, more and more companies, regardless of the field to which they belong, operate through projects. Due to this, it is necessary to have a more detailed and precise knowledge of how projects are carried out in order to achieve the expected results. The most important thing that must be mentioned from the beginning is that all the activities that take place in a project will be translated into money in the form of costs. The challenge for the project manager is to complete the project on time and to fit the actual costs in the established budgets. Obtaining financial efficiency in the development of the project will be considered a strong point for the Project Manager that turns him into a professional. The responsibility for sizing the budgets in a project lies with the Project Manager, as well as fitting the actual costs in the established budget.

Public and private organizations increasingly operate under conditions of technological change, external demands, institutional constraints, and growing expectations for responsiveness, placing renewed attention on the discretion available to managers and on how that discretion is translated into organizational responses. This study examines whether managerial behavior under such conditions can be explained through partly shared response mechanisms rather than sector membership alone. An integrative contextual model was tested using survey data from 238 managers (153 from Romanian police organizations and 85 from industrial companies) in North-West Romania. Exploratory factor analysis, confirmatory factor analysis, and path analysis identified seven constructs and a differentiated empirical model. Managerial autonomy was positively associated with adaptive–reflective managerial practices and decision legitimacy and relational trust. External and technological pressures were associated with greater legitimacy and trust and greater resistance to change, but not with adaptive–reflective practices. Adaptive–reflective practices were associated with lower resistance and stronger stakeholder orientation, whereas legitimacy and trust did not reduce resistance. Public–private differences were selective, with significant differences in autonomy, adaptive–reflective practices, external pressures, and stakeholder orientation, but not in legitimacy and trust, organizational constraints, or resistance. The findings shift attention from broad sector differences toward the managerial response mechanisms associated with discretion and external pressures and highlight the potential relevance of responsible managerial autonomy for adaptation under institutional constraints.

We live in an extremely dynamic society in which classical approaches applied by companies no longer provide viable solutions to the problems they face on the market every day. Companies that will be able to quickly access information, qualified workforce and innovative solutions will be successful. This goal can only be achieved by those companies that will actively involve universities in their “life” through research partnerships, professional training programs, etc. thus being able to respond effectively to the market demands. The paper presents the results obtained through the achieved research by processing of the information collected from the teaching staff of the Technical University of Cluj-Napoca and the companies' representatives from Satu-Mare participating in the events of the project “Specialists for Satu-Mare”. The most important findings are: the need to develop training courses and to involve professors in research activity in order to design, develop and implement new products. Finally, proposals are being made to improve the collaboration between companies and professors.

This paper analyses the behavior of fashion online consumers in Romania during the pandemic period on decisions related to the purchase of clothing, by studying the responses of the respondents to a questionnaire, collected in 2021, also by studying international trends in the environment, industry or society, in order to better understand the needs and desires of the consumers, the dynamics and direction of the changes.