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In the world today, innovation is an essential component of daily life. Companies deal with innovation on a regular basis to maximize their use of resources and form the foundations for competitive advantages over the competition. However, many firms currently face difficulties in terms of scarce resources and financial constraints, which have forced organizations to seek out new innovations that not only deliver good results but also require fewer natural and financial assets. Frugal innovation has, thus, been playing a significant role in companies’ success and growing in importance as this concept and its various practical applications have become more fully defined. Frugal innovation's practical aspects are still insufficiently addressed by the literature, which shows a lack of clarity about possible determinants of this approach and the ways they are interconnected. This study develops a multicriteria model using two problem structuring methods—design thinking and interpretive structural modeling—to clarify the issues that arise during frugal innovation. The results reflect the input of a group of experts linked to corporate innovation and/or small and medium-sized enterprises. The findings were subsequently analyzed and validated by a specialist who did not participate in the group work in order to make the analysis system more empirically robust. The proposed model provides a holistic view of determinants of frugal innovation, which can help companies understand and analyze these factors and engage in successful decision-making processes.

Society 5.0 is an extremely popular idea in current socioeconomic contexts. The transition process of evolving into this superintelligent society envisioned by the Japanese government is still ongoing, but this paradigm has already had an impact through recent changes in societies’ perspectives and ambitions. The academic contributions on this topic are still scarce, so further research is required particularly in the context of small- and medium-sized enterprises (SMEs). Society 5.0 encompasses various complex subjective aspects (i.e., variables) that require a constructivist approach to the associated decision-making processes. This study sought to overcome limitations identified in previous studies of Society 5.0’s varied dimensions by applying a combination of cognitive mapping and decision-making trial and evaluation laboratory techniques in a neutrosophic context. These methodologies provided a holistic perspective on the research topic, as well as identifying the most important variables to be included in the analysis system and defining their causal interrelationships. This comprehensive decision-support system was constructed by a panel of experts in related fields in order to mirror SME realities. The benefits and practical contributions of the proposed analysis system are discussed, and the results confirm that SMEs are not too small to shine in Society 5.0.

Open innovation has gradually gained greater importance over time as commitment to a culture of constant innovation has become increasingly indispensable for organizations’ long-term survival. This trend has made understanding the factors that affect innovation capacity and success imperative. Given the wide range of determinants already identified, researchers seeking to analyze these factors face difficult, extremely complex challenges in terms of determining their effects on small and medium-sized enterprises (SMEs). The existing literature mentions limitations arising from how criteria have been selected for evaluation systems and how these determinants’ relative weights have been defined. This article develops an analysis system that combines cognitive mapping—based on the jointly understanding, reflecting, and negotiating strategy making approach—and the best-worst method. The two main aims are to identify the most significant criteria for evaluations of SME propensity to engage in open innovation and to calculate these factors’ relative weights. This article focuses on promoting realistic, comprehensive analyses that foster clearer and more conscious decision making based on a holistic view of open innovation assessment.

This study focuses on the interconnection between two topics: change management and advanced wireless networks. Advanced wireless networks can generate turmoil at the deepest level of all sectors of activity by offering the possibility of new connectivity through these networks’ assets, which would require new business models and introduce novel features into purchasing processes and consumer experiences. In addition, telecommunications companies play a fundamental role in developing and implementing these new technologies to ensure they fulfil their promise. Change management practices are critical to ensuring successful advanced wireless network implementation, especially at a strategic and operational level. This research sought to contribute to a more holistic view of the interconnections between these two topics. The multiple-criteria decision analysis approach was used to conduct analyses of the relationships between the associated monetization opportunities and challenges, which included applying the decision-making trial evaluation laboratory technique to clarify their cause-effect links. A multidisciplinary expert panel was recruited to facilitate the method's application. The insights obtained during two panel meetings allowed the proposed process-oriented approach to assist decision makers in analyzing monetization opportunities and challenges related to advanced wireless network adoption according to the following five clusters: service offer; vendor value proposition; operational management; strategic management; and external factors. Contributions and limitations are also examined.

In recent years, increasing resource consumption worldwide has alarmed experts. This problem contributes to the need for more ecological solutions and processes including the use of renewable energies, which reduces organizations’ environmental impact. To find ways to improve new green solutions and process integration, researchers need to study and measure these innovation effects, especially on small- and medium-sized enterprises (SMEs). However, evaluating renewable energy impacts on SMEs is not as easy as would first appear. This challenge can be addressed by developing an analysis model to mitigate the limitations of recent studies and, concurrently, deal with this complex subjective issue. In this article, the combined use of cognitive mapping and the decision-making trial and evaluation laboratory (DEMATEL) technique facilitated the generation of a complete, transparent, and informed model that can help managers make better decisions in this context. Specifically, grounded in intensive group work sessions with renewable energy specialists, the results address some of the limitations of more generic models and include a multicriteria analysis system that provides guidelines for renewable energy management practices, with the potential to improve SME performance. To enable a fuller interpretation of the decision problem in question, the most important indicators were identified and the cause-and-effect relationships between these criteria were analyzed. The findings were validated by the panel members and a member of the Portuguese Renewable Energy Association. The advantages and limitations of the proposed model are also discussed.