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Purpose: The importance of creativity and innovation can’t be overstressed today. Especially in the context of volatility, uncertainty, complexity, and ambiguity (VUCA) world, firms cutting across businesses have to pay special attention to building a culture of creativity and innovation around business processes.

Design/Methodology/Approach: The study uses an extant literature review and practical cases to highlight the parameters required to build a culture of creativity and innovation in companies. These parameters lead to the development of the conceptual framework that can help firms sustain innovation even amidst a fast-changing business environment.

Findings: The findings suggest that focus on internal and external forces is required to keep up innovation efforts in the VUCA world. Being agile with a discrete focus on learning is essential to remain creative and innovative for business sustainability.

Research Limitations/Implications: The study is crucial for academicians, practitioners, and policy makers. It is expected to open new avenues of research for further contributing to the body of knowledge related to the field of creativity and innovation while expected to help society by bringing them more innovative products at pocket-friendly prices.

Originality/Value: The study is unique as it delineates the relationship between creativity and innovation in the context of the VUCA world. The research also offers an innovation framework that is a valuable addition to both fields of academia and corporate.

This study focuses on the impact of green innovation on oil and gas firms’ performance in the MENA region from 2010 to 2020. Return on assets (ROA) was used to measure the financial performance of firms. However, green innovation was measured using two different scores, namely the environmental pillar and the innovation scores. Additionally, we introduced an oil price-moderated variable to examine its effect on the firm’s performance and the green innovation nexus. We collected data from the DataStream database. Regarding our empirical part, we use the generalized least squares method to carry out the analysis. Results showed a positive impact between green innovation scores and the firm’s performance in the MENA region. Also, we found that green innovation has a linear effect on firm performance. Finally, a negative, moderated effect of crude oil prices on green innovation and the firm’s financial performance nexus has been found.

This chapter examines the significance of green innovation and technologies for sustainable business in Asia, focussing on the issues and challenges confronted by contemporary sustainable business models. The concept of sustainable development is introduced, which seeks to minimize negative impacts on ecosystems and preserve the environment for future generations. This chapter's methodology entails a comprehensive review of existing literature and research on green innovation, green technology, and sustainable business models in Asia. The expansion of ‘green’ energy is directly proportional to the global demand for energy resources. Understanding how green innovation influences a company's capacity for sustainable development is essential for identifying the factors that influence sustainable business models and their economic consequences. Green innovation practices encompass a variety of factors, including government regulations, preferences, supplier competence, and consumer concerns. Green technologies, such as green human resource management (HRM) practices and green innovation practices, play a crucial role in attaining sustainable development by conserving energy, protecting the environment, and enhancing business efficiency. Businesses that adopt green innovation acquire a competitive edge and enhance their performance. This chapter emphasizes the importance of green innovation research and application for business stability in Asia, where sustainability and green concepts are acquiring momentum. Customer, government, and societal pressures further emphasize the significance of green innovation in businesses. For the success of ecological innovation practices, collaboration and knowledge-sharing among various stakeholders are crucial. The adoption of green innovation practices is influenced by external environmental impacts, stakeholder pressure, and organizational support. Green technology innovation, which concentrates on resource conservation, energy efficiency, and environmental protection, is crucial to the sustainability of a business. This chapter concludes by emphasizing the importance of business sustainability in achieving environmental and economic goals and assuring sustainable corporate development. Long-term success requires an understanding of the process of value creation, delivery, and capture within sustainable business models.

This chapter reviews the key findings and innovation leadership insights from this book, as well as pointing out directions for future research. We find a series of learning insights for people engaged in innovation leadership, at the distinct levels of self-leadership, team leadership, organisational leadership, and ecosystem leadership. We also find commonalities across these levels, as well as differences that reflect the complexity of these different leadership arenas. Leadership practice that orchestrates contributions from diverse viewpoints, seeing itself as with the group, rather than above it, is most likely to help turn ideas into value in repeatable ways. We also find evidence that mindset, skills, and behaviours are all important in the make-up of competencies. We point to the requirement for further research at all four levels, to bring further insights in what is still an emerging field; as well as a need for more research into competency development for innovation leadership; and we advocate a research approach that emphasises relational leadership, acknowledging that most leadership practice is shared across people.

Innovation is critical to the tourism industry. Living Labs (LLs) are innovation ecosystems which are becoming popular in tourism. LLs are a model of open innovation characterized by a networked approach to innovation. Local communities and businesses are usually excluded from processes of decision-making concerning the management of tourism. LLs enable local communities' participation in the sustainable development of tourism, thereby providing them the opportunity to increase their share of benefits. This chapter focuses on a case study of an LL recently created in Portugal and discusses LLs as an environment for tourism innovation where the local community is stimulated to explore competencies to cocreate value.

The pandemic has brought to light the importance of quickly adopting new technologies and building resilient organisations. Also, the Sustainable Development Goals (SDGs) can be addressed in large part through technological innovations. The development of smart systems which are linked with the Internet of Things (IoT) can create different opportunities to strategically face the barriers linked with the SDGs and make sure that there is an environmentally sustainable, equitable and healthy society. This study has utilised secondary and qualitative data and has adopted the interpretative and deductive approaches. It has given significance to several aspects of the SDGs and has linked them with digital technology such as accessibility to safe and clean portable water, production of sustainable food along with the generation of green energy and its utilisation. This study has evaluated the advantages of digitalisation so that it can catalyse the transition towards SDGs and improve the health of the citizens by giving digital accessibility specifically to the underserved community. The research has selected the most essential themes which are linked to the context of SDGs and has deeply evaluated a lot of information obtained from authentic secondary resources. At last, it provides a conclusion and recommendations where it has suggested several initiatives which could be made for enhancing the overall scenario and has also disguised the limitations that were identified while completing the study.

Effective leadership is critical in driving innovation and success in organisations, particularly in today’s rapidly changing environment. However, achieving effective leadership at all levels of the organisation can be challenging. This chapter argues that understanding how the brain functions is essential for innovation leaders to achieve positive results and higher rates of success in their projects. By analysing relevant research on neuroscientific functioning patterns and developing interventions based on these foundations, this chapter establishes that the brain’s self-organising ability and cognitive processing systems offer valuable insights for effective innovation leadership. Based on neuroscientific evidence this chapter concludes that effective innovation leadership should focus on inviting others to engaged co-creation, rather than directing others to perform specific tasks as if they were ‘a prolonged arm’. Additionally, effective innovation leadership integrates insights from information processing in the brain by providing behavioural-oriented impulses that activate the brain, enabling individuals to maintain focus, restore motivation or emotional stability, enhance mood and confidence, and increase cognitive flexibility. Evidence-based interventions range from structured breaks to powernapping and walking. The importance of self-leadership is stressed throughout the chapter. By deriving solutions from an understanding of how the brain functions, interventions that may have been known for a long time can become evidence-based and optimised for use in organisations. Future research could explore the intersection of neuro- and behavioural science with leadership to further innovate organisational principles.

Introduction: Today the ability of nations to develop and implement innovations is core for their international competitiveness. Ukraine is striving for innovation progress; however, its innovation performance is relatively low. The research problem is to find the bottlenecks, affecting Ukraine’s innovation capability.

Purpose: This study aims to research the national innovation capability profiles, based on cluster analysis, to develop an understanding of drivers and threats for the innovation capability of Ukraine.

Need of the study: The knowledge-based economy, which had already turned into one of the most efficient developmental models of the 21st century, became a key driver of international competitiveness for the leading developed countries due to their progressive structural shifts towards the growth of high-technology manufacturing and knowledge-intensive sectors. These trends are significant to capture for the sake of increasing the innovation capability of the economy of Ukraine.

Methodology: The study is based on the K-means clustering method, which is employed for identifying 10 country clusters based on the indicators of their R&D and innovation activities, which allowed us to assess the innovation capability of Ukraine in comparison with 140 countries of the world. Data selection and normalisation were based on the 2019 Global Competitiveness Report indicators.

Findings: The study showed that Ukraine’s innovation capability problems are typical for most developing countries and are prevalently connected to low R&D expenditures, patent applications, and international co-invention activities. Most countries, except for the technologically developed ones, follow the so-called ‘passive technological learning’ strategies, which usually result in low economic productivity.

Practical implications: Several innovation policy implications have been developed for the government of Ukraine based on the cluster analysis results and accounting for the problems of the national innovation system (NIS).

It is suggested that, to be successful, innovation teams should be small and consist of people with key expertise who want to participate and develop new solutions within their organisations. When it comes to conducting innovation work, I suggest shared leadership may be a factor influencing success. In this chapter, a theoretical framework is presented on the shared leadership of innovation teams. The key to establishing shared leadership in innovation teams is to plan for it as the team is created, not after the team has already been formed, as this may result in various problems in the intended innovation project. The proposed framework details key aspects to consider; some of which are related to external factors such as management and resources, and some to internal factors such as the team’s size, competencies, and their ability to develop norms and ways of working together. The proposed framework is applicable for managers, innovation leaders, and team members, and contributes to previous research on shared leadership and innovation leadership. Further research on the proposed framework is suggested.

The European Union’s Digital Markets Act (DMA) calls for far-reaching changes to the way economic activity will occur in EU digital markets. Before its remedies are imposed, it is critical to assess their impacts on individual markets, the digital sector, and the overall European economy. The European Commission (EC) released an Impact Assessment in support of the DMA that purports to evaluate it using cost/benefit analysis.

An economic evaluation of the DMA should consider its full impacts on dynamic competition. The Impact Assessment neither assesses the DMA's impact on dynamic competition in the digital economy nor evaluates the impacts of specific DMA prohibitions and obligations. Instead, it considers benefits in general and largely ignores costs. We study its benefit assessments and find they are based on highly inappropriate methodologies and assumptions. A cost/benefit study using inappropriate methodologies and largely ignoring costs cannot provide a sound policy assessment.

Instead of promoting dynamic competition between platforms, the DMA will likely reinforce existing market structures, ossify market boundaries, and stunt European innovation. The DMA is likely to chill R&D by encouraging free riding on the investments of others, which discourages making those investments. Avoiding harm to innovation is critical because innovation delivers large, positive spillover benefits, driving increases in productivity, employment, wages, and prosperity.

The DMA prioritizes static over dynamic competition, with the potential to harm the European economy. Given this, the Impact Assessment does not demonstrate that the DMA will be beneficial overall, and its implementation must be carefully tailored to alleviate or lessen its potential to harm Europe’s economic performance.