Even though interest in open innovation (OI) both as a research field and as an industrial practice for creating competitively advantageous innovation through collaboration has grown exponentially over the last decades, the issue of how to transform OI strategy into a sustainable competitive advantage is still an open research question. Selecting partners capable of operationally and strategically contributing to the OI project goals is a strategic decision for companies striving to effectively implement the OI concept. The study is aimed at defining a structured and methodology-supported decision-making process for OI partner selection based on a novel hybrid Multi-Criteria Decision-Making (MCDM) model which is enhanced by interval type-2 fuzzy sets (IT2F) to deal with the inherent uncertainty. The model combines IT2F Delphi (IT2FD), IT2F Analytical Hierarchy Process (IT2F AHP), and IT2F Preference Ranking Organization METHod for Enrichment of Evaluations (IT2F PROMETHEE). The study provides a comprehensive framework of the OI partner performance indicators; additionally, it provides a contingent approach to identifying evaluation criteria depending on the nature of the company’s innovation processes, contextual conditions, and innovation strategy. The case study is used to verify the feasibility and effectiveness of the proposed process. The study’s results highlight the significance of specific factors related to the partners’ technological competencies.

In terms of uncertain business conditions, the ability of an enterprise to bounce back after severe disruptions, or simply resilience, may be seen as one of the major features needed to sustain successful business operations. This research has the objective of proposing an algorithm for the organizational resilience assessment in industrial companies and conducting an analysis of the relationship between the organizational Resilience Factors and Key Performance Indicators recovery times. As the variables that are an integral part of the research are exposed to a high degree of uncertainty, they are modeled using fuzzy set theory. The methodology used for the research is an enhanced fuzzy Delphi, where the fuzzy geometric mean is employed as an aggregation operator. The relationship between the organizational resilience factors and Key Performance Indicators’ recovery time is based on the correlation analysis. The proposed model is based on real data from one complex industrial enterprise. The main finding of the research is that calculations indicate a significant negative correlation between treated variables.

In the changing business environment conditions, one of the primary management tasks is competitiveness enhancement. This goal can be achieved, among other things, by improving performance, which has the greatest impact on business success. This research paper aims to indicate that the alignment between the European Foundation for Quality Management (EFQM) model and the business model leads to an increase in enterprise performance. By applying the Fuzzy Simple Additive Weighting (FSAW) method and fuzzy algebra rules, the aggregated value of quality was calculated. Determining the value of the considered performance is set as a fuzzy decision-making problem. Aggregated performance value is given by fuzzy geometric mean with combined fuzzy algebra rules. By applying correlation analysis, the significance of the influence of business models and quality models on the value of performance was determined. The proposed model was tested on a sample of 20 SMEs that operate in the Republic of Serbia.

New industrial initiatives and innovations are being brought forward at an increasingly rapid rate, radically transforming job profiles and imposing the need for new paradigms in engineering education. Over the last few decades, PLM has evolved into the key business paradigm for supporting companies’ efforts to achieve long-term sustainable competitiveness by balancing innovation and efficiency growth on the one hand and cost optimization on the other. New labor market demands, shaped by rapid PLM evolution, require a shift in current engineering education to adapt to new realities and better prepare engineers for future challenges. This paper aims to provide a comprehensive review of the state of the art in PLM education, highlight issues facing PLM education, and discuss possible future trends and developments. The paper aims to increase awareness of the importance of PLM education development and encourage active debate about potential actions as responses to current issues.

Due to its ability to support the achievement of operational and strategic business excellence despite complex business conditions, growing globalization, demanding customers, and shorter product lifecycles, the Product Lifecycle Management concept (PLM concept) is becoming the most significant industry initiative today, while PLM education is becoming an essential strategy in the education of future engineers. The paper emphasized the necessity for the promotion of PLM education by academic communities, discussed PLM education issues, and identified key PLM competencies. It also explores the role of Engineering Management study programs in educating professionals with comprehensive PLM competencies.