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In this paper, we examine the elements of pricing approaches in export businesses and their performance in an international environment. The elements of pricing approaches consist of cost-based, competitor-based, and value-based decisions made by different levels of management. By providing an integrated, holistic view, we investigate how different types of export-pricing strategies influence export performance, and which elements strengthen or attenuate the outcomes of strategic actions.

Using data from a survey of 172 export managers, we test our hypotheses in a two-step approach. First, we use an unsupervised approach to group the export companies and to validate the cluster solution internally and externally. Second, we test our hypotheses regarding export performance.

The results show that the types of export-pricing strategies are unequally distributed, and the elements of the strategies have different complexities. Export performance varies significantly by type of pricing orientation used.

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).

Purpose – The purpose of this chapter is to advance understanding of regional industry or innovation clusters and the opportunities that the cluster framework provides policymakers for delivering economic impact, clarifying economic priorities, and coordinating disparate programmatic efforts, and to articulate some basic principles for formulating cluster strategies.

Methodology/approach – As the cluster concept enters its third decade and the body of related literature reaches a new level of maturity a consensus has emerged among academics and policy thinkers on the economic benefits of clusters. In fact, clusters have emerged as major focus of economic and policy discussion just now – in what the authors dub a “cluster moment” – by dint of their demonstrated practical impact, their value in paradigm discussions, and their potential utility in policy reform. The chapter reviews the benefits of clusters and traces their ascendance – and re-emergence post-recession – among policy thinkers.

Findings – New research confirms that strong clusters tend to deliver positive benefits to workers, firms, and regions. As a paradigm, they reflect the nature of the real economy and as a matter of policymaking, clusters provide a framework for rethinking and refocusing economic policy. In pursuing cluster-based economic development strategies, policy leaders should not try to create clusters; use data to target interventions, drive design, and track performance; focus initiatives on addressing discrete gaps in performance or binding constraints on cluster growth; maximize impact by leveraging pre-existing cluster-relevant programs; align efforts vertically as well as horizontally; and let the private sector lead. All three tiers of the nation's federalist system have distinct and complementary roles to play in advancing the cluster paradigm.

Research limitations/implications (if applicable) – The paper includes no new/original data.

Practical implications (if applicable) – Given that clusters have emerged as a major focus of economics and policy, this chapter lays out a core set of general principles for pursuing cluster-based economic development strategies – and for avoiding common pitfalls – to which policymakers can adhere.

Originality/value of paper – The chapter advances cluster thinking and cluster strategies as a paradigm with the potential to accelerate regional economic growth and assist with the nation's needed restructuring and rebalancing toward a more productive post-recession economy.

This chapter applies the five drivers of productivity framework to regional microdata for Egypt and extends it by introducing an index of industrial clusters as an explanatory factor of the productivity performance of local private sector firms. Applying structural equation models, the geographic concentration of sectoral economic activity is found to have a positive and statistically significant effect on labor productivity. The transmission mechanism is conjectured to be the positive spillovers that are created, which local firms can tap into. In contrast, a higher concentration of skilled workers in an industrial sector in a region is associated with lower levels of labor productivity – a finding that suggests there may be structural deficiencies in the allocation of skilled workers. Regional policy should focus on net investments in gross capital formation throughout the country, for which the national and regional governments should improve how public investments are managed and the institutional framework – including the rule of law, bureaucracy and red tape, conflict of interest, transparency, and governance – so that private investment (both local and foreign) may substantially increase.

Internet + and Electronic Business in China is a comprehensive resource that provides insight and analysis into E-commerce in China and how it has revolutionized and continues to revolutionize business and society. Split into four distinct sections, the book first lays out the theoretical foundations and fundamental concepts of E-Business before moving on to look at internet+ innovation models and their applications in different industries such as agriculture, finance and commerce. The book then provides a comprehensive analysis of E-business platforms and their applications in China before finishing with four comprehensive case studies of major E-business projects, providing readers with successful examples of implementing E-Business entrepreneurship projects.

Internet + and Electronic Business in China is a comprehensive resource that provides insights and analysis into how E-commerce has revolutionized and continues to revolutionize business and society in China.

Set against the background of uncertainty and crisis generated by COVID-19, policymakers, destination marketers and tourism and hospitality managers are struggling in trying to envision how, and till when, tourist behaviour will be changed and transformed by this pandemic and how tourists will select the accommodation where to stay during their holiday.

So far, a limited number of academic studies have been devoted to analyzing how travellers will select the accommodation for their holidays. This urges academicians to fill this gap with the aim to provide practitioners with fresh and insightful knowledge to support their decision-making in a tourism era where everyone seems to be shifting towards a ‘new normality’ of uncertain duration.

This study was therefore carried out to contribute to this debate by presenting and discussing findings of an empirical investigation applying a factor–cluster analysis on a sample of 225 French consumers/travellers to profile them based on accommodation selection criteria. Further, a series of chi-square tests was run to investigate whether significant differences exist among clusters based on their sociodemographic characteristics (i.e. gender, age, level of occupation, employment status) and travel-related variables (i.e. the preferred type of accommodation and the length of the holiday).

Findings contribute to deepening the scientific debate about how tourists' behaviour is being transformed in a tourism era affected by the COVID-19 pandemic. Meanwhile, our results will provide accommodation marketers with useful information to be used to effectively plan and implement their service design to meet tourists' expectations and needs.