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The attention of scholars and policy makers towards the topic of innovation has consistently increased, especially in recent years. This is justified by the fact that innovation undoubtedly plays, today, a crucial role in driving a country’s economic growth, improving productivity and, more generally, enhancing overall societal well-being.

When the discourse around innovation focuses on its economic dimension, the strong intertwinement with entrepreneurship emerges. In line with this, focusing on research on innovation in organisations and, especially, innovation in relation to the figure of the entrepreneur is considered, plenty of studies have been carried on, over time, in many disciplines, analysing the role of the entrepreneur in relation to innovation from various different angles. However, especially when management studies are considered, we can notice a poor consideration of the role played by the gender of the entrepreneur. In line with this consideration, by means of a systematic literature review, this chapter aims to fill this literature gap focusing on the intertwinement that can be envisaged, in management studies, among the issues of entrepreneurship and innovation in the case of women-owned firms.

The growing use of internet communication technology has led to increased economic growth across the world, and this chapter seeks to assess the case of Czechia. The study also examines the changing employment distribution in the labour market with the growing influence of information and communication technology (ICT). The multiple indicators and multiple causes model as well as changes in employment or earnings shares of occupations are used for the analysis. The findings show that increased use of ICT contributes to growth in GDP and employment. It also shows that ICT has contributed to rising labour and factor productivity through increased innovation. There is also increased demand for highly educated labour leading to growth in employment in high skill occupations, while the share of low and middle skill occupations declines. The situation, however, does not indicate job polarisation in the labour market and total employment is still increasing. The study also finds that investment and use of ICT has led to progressive development in the human development index of the Czech Republic and a decline in the gender inequality index.

In our studies of daily newspapers and news websites in small and medium-sized cities in Brazil, we view these enterprises as firms endowed with specific strengths and weaknesses reflecting the characteristics of the localities in which they operate. In addition, we use references from urban geography and the industrial economy to investigate their structure, conduct, and performance. This chapter presents our observations about the structure of these firms and the journalistic business in non-metropolitan cities of the State of Rio de Janeiro. The results point to greater consolidation of newspapers, despite their traditional way of operating; the low performance of news websites and their restricted source of revenue; and the existence of a potential regional market little explored by these media.

It is important to consider economic and political factors when designing the tax mix and setting the level of corporate taxation. Increasing corporate taxation can be seen as an inefficient way to raise revenue for the state, as it can have a negative impact on investment and the competitiveness of firms. However, lowering corporate taxation can encourage investment and job creation, but it can also be perceived as supporting large corporations. The aim of this chapter is to evaluate corporate taxation, its position in the tax mix and its potential impact on economic growth. The revenues of corporate income tax (CIT) have an increasing tendency even though the tax rate was reduced from 41% to 19%. Revenues are influenced by both legislative changes and economic cycles. The level of taxation is also influenced by deductions, which include asset depreciations, research and development expenses, or loss deductions. The Pearson Correlation Coefficient was used to examine the correlation between the selected factors. A moderately strong positive correlation was found between GDP growth and CIT as a percentage of total taxes, as well as between GDP growth and CIT as a percentage of GDP.

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).

This study investigates the impact of corporate social responsibility (CSR) on corporate innovation. We selected the listed nonfinancial firms of South Asian Economies. The sample of the study comprised a total of 426 listed manufacturing firms of South Asian Countries for period spans 10 years from 2012 to 2021. In this study, descriptive statistics, multicollinearity diagnostic tests, correlation analysis and two-step dynamic panel system generalized method of moments (GMM) were applied to analyze the data. CSR measured with three proxies' social indicators, environmental indicators, and CSR composite index of social and environmental indicators. However, corporate innovation is captured with number of citations received in a year and number of patents filed in the year. Overall, findings of the study using all measures of CSR shows that CSR significantly and positively related with corporate innovation. Our results find support for CSR-innovation view with all measures of CSR. The findings suggest that the current study is helpful for managers, regulators, policymakers, and researchers. For managers, the study helps them to make the CSR and innovation decision. The policymakers should take appropriate innovative decision while considering factors such as CSR. This study can also be extended by considering this study for developed and emerging economies sample.

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.

Purpose: Innovation is a multi-dimensional phenomenon influenced at the organisational level by internal and external factors that can determine how innovative an organisation can be, determining a firm’s business performance. This chapter measures and predicts how innovative a company can be, considering key internal factors using modern data analytics/science.

Need for Study: The increasing challenge of modern business operations is affected by how quickly, sustainably, effectively, and efficiently companies can innovate to mitigate the dynamic challenges of current business environments and evolving customer needs. The ability to predict, measure, and manage innovation becomes necessary to ensure that businesses are fit for purpose.

Methodology: A model was designed following the study hypotheses and statistically tested. A historical data sample from the OECD global industry dataset for eight years was used for the analysis. The ordinary least square method was used to test for model fit. Also, in machine learning engineering, predictive analysis using the multivariate linear regression analysis method was carried out.

Findings: The results support the hypotheses that an organisation’s capacity to be innovative can be measured and predicted, and it is influenced by a good number of internal factors or independent variables at various degrees.

Practical Implications: Managers must understand how to measure and predict innovation metrics to manage innovation better, ultimately leading to better business outcomes and performance. Also proposed are new measurement matrices for innovation management: innovation capacity (I_C), business innovation value (BIV), innovation creation factor (ICF), and a practical data-driven innovation management and prediction system.