The evolving role of universities has transitioned from an egalitarian education system suited for individuals, merely pursuing knowledge and education, fostering social bonds as Humbolt suggested “Bildung” (the German word for education/formation) (Brandser, 2022), to an organization that creates multifaceted commercial, social, environmental, and cultural impacts. Technology Transfer Offices play a crucial role in translating research into impactful societal benefits, yet defining, measuring, and addressing nonfinancial impacts remains challenging. This article investigates the importance of nonfinancial impacts, such as social, cultural, and environmental contributions, and suggests a practical model the author employs to visualize, assess, and address these impacts.

This study explores the impact of key factors on project management (PM) strategies within R&D units of SMEs. We present a case study of an SME engaged in the manufacturing of battery packs highlighting the critical need for adaptable PM methodologies to the specific characteristics of the company. Facing dynamic market conditions due to its growth rate, the SME sought a sustainable and flexible PM approach. The implementation of a hybrid agile–stage–gate methodology demonstrates the practical integration of identified parameters, offering valuable insights for SMEs navigating R&D challenges.

Despite their increasing popularity, artificial intelligence (AI) and machine learning (ML) projects often fail to deliver expected outcomes, frequently ending prematurely or not being deployed. Beyond data and model requirements, theseprojects necessitate cross-domain performance, business analysis, effective stakeholder and team management, risk and quality management, and a tailored development approach. These factors underline the need for a systemic project management (PM) approach that addresses the interconnections among business, organizational, team, and PM factors, rather than focusing on isolated achievements of AI and ML. Current PM methods such as Cross-Industry Standard Process for Data Mining, Team Data Science Process, Scrum, and Kanban may not adequately meet these challenges. Therefore, a systemic PM framework is essential for artificial intelligence and machine learningproject success, particularly in critical areas such as healthcare. This article argues for a change toward a principle-based, holistic, and systemic PM approach tailored to the performance domains of artificial intelligence and machine learningprojects. It explores the adoption of the Project Management Body of Knowledge (PMBOK V7) for an ML project at Baskent University Hospital Ankara. By combining systems engineering and Soft Systems Methodology with a survey on performance domains, we enhance PMBOK V7’s applicability, proposing solutions that include conceptual and process models. Findings indicate that PMBOK V7 meets the necessary project requirements but needs adaptations for ML processes.

Over the past decade, additive manufacturing technology has rapidly changed the business environment and global supply chains. This article discusses the impact of additive manufacturing and sustainability in the defense industry supply chain ecosystem. A lifecycle sustainability assessment based on integrating the three pillars of economics, environmental, and social impacts is presented. We consider inputs and outputs to the additive friction stir deposition transformation process that provides an opportunity for additive manufacturing in the circular economy, which mainly extends the product lifecycle by repairing/refurbishing or remanufacturing by using nonvirgin (recycled) materials. We identify the implementation challenges and expected benefits of additive manufacturing technology and the managerial implications of sustainability in the global supply chain ecosystem.

This study explores the complex relationships among environmental knowledge, green consumption values, green packaging, and the green purchase intentions of Generation Z consumers. Using a positivist research approach and structural equation modeling with smart partial least squares (PLS) 4.0 and SPSS V.25, the study analyzed 496 valid responses obtained through snow ball and purposive random sampling. While the research identified a positive association between green consumption values and green purchase intentions, no direct relationship was found between environmental knowledge and green purchasing. Notably, the study highlights the mediating role of attitude in influencing the relationships among environmental knowledge, green consumption values, and green packaging with respect to purchase intentions. This pioneering research enhances the understanding of green marketing perception, ecofriendly behavior, and environmental sustainability in developing countries, particularly in Bangladesh. Given the limited research in this area, especially among Generation Z consumers, the study advocates for increased awareness and the implementation of empowerment strategies by businesses to promote sustainable practices and advance environmental sustainability. Practically, the findings of this study also provide insightful practical insights for Bangladeshi fast-moving consumer goods (FMGC) companies and potentially for similar companies in other emerging countries. Furthermore, the findings have several theoretical ramifications that touch on the areas of consumer behavior theory, sustainability theory, corporate social responsibility theory, and the theory of planned behavior.

Three-dimensional bioprinting is gaining immense importance in the biofabrication of organs, cartilages, bones, tissue repair or regeneration in tissue-engineered applications, personalized medicine, tailored therapies, and pharmaceutical testing. This study envisages the types of controls employed in the production of 3-D printed bioimplants, which is either implemented through the use of digital control or action perceived with respect to response to stimuli, using various materials, printing techniques, and enabling technologies of Industry 4.0. Different search strings like “enabling technologies” and “controls” are used in the 3-D printing of bioimplants, which are confined to computer science for the exploration of scientific literature from the Scopus database. The systematic literature review methodology of the extracted literature gives an insight into critical concepts, present status, publication trends, research domains, a survey of controls implemented in 3-D printing of bioimplants since inception, and presents research directions for future work. This article underscores the significance of 3-D bioprinting for business managers and practitioners in terms of opportunities and challenges, business model innovation, decision-making, cost-benefit analysis, regulatory landscape, ethical and societal considerations, supply chain integration, market adoption barriers, and helping organizations achieve sustainability, precise control, biodegradability, efficiency, reliability, safety, and collaboration.