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Complex technology not only provides potential economic benefits but also increases the difficulty of application. Whether and how upstream technological complexity affects downstream manufacturers' innovation through vertical separation structure is worth discussing, but it has not been effectively discussed.

Through theoretical analysis and empirical testing, this article discusses the cost effect and market competition effect caused by upstream technological complexity on downstream manufacturers and further elucidates the impact of upstream technological complexity on downstream manufacturers' innovation.

Research has found that the impact of upstream technological complexity on the downstream manufacturers' innovation depends on the cost effect and market competition effect. The cost effect caused by the complexity of upstream technology inhibits the innovation of downstream manufacturers. In contrast, the market competition effect promotes the innovation of downstream manufacturers. There are differences in the cost effect and market competition effect of upstream technological complexity on different types of downstream manufacturers, so there is also significant heterogeneity in the impact of upstream technological complexity on innovation of different types of downstream manufacturers.

The conclusions of this article improve the understanding of the relationship between upstream technological complexity and downstream innovation and provide helpful implications for industrial chain innovation.

This chapter’s goal is to determine the essence and causal connections of the emergence of conflicts at the level of economic systems (countries) due to technological inequality and to find the perspectives of overcoming these conflicts. The chapter models the economic and political conflict of modern time under the conditions of high-tech development based on the methods of variation analysis and regression analysis. It is proven that the scale of technological inequality in the world economy is very large. It is the economic and political conflict of modern time, the essence of which is as follows: the differentiation of economic systems amid digital development predetermines the opportunities for their entering the world markets. This chapter contributes to the development of the theory of economic and political conflicts, proving the existence of technological inequality as a new form of differentiation of economic systems amid digital development and defining this inequality as a new economic and political conflict of modern time. The chapter also contributes to the development of the theory of international trade, disproving – for the first time – the action of the principle of freedom of international trade. The authors describe technological barriers of the world markets, which limit the presence of countries that are behind the leading countries by digital development. Three key factors that determine the level of technological development of the economy are given: knowledge-intensive employment, venture investments and financing of innovations in business. Due to the above, the chapter provides opportunities for technological conflict management.

This article explores the effect of technological similarity in acquisitions on invention quantity and quality. In doing so, we confirm previous findings in the literature suggesting that technological similarity exhibits an inverted U-shaped relationship with innovative output and a negative relationship with average invention quality. However, we identify the nature of the technology as an important moderating factor for both relationships. We distinguish between two types of technologies, complex and discrete, and suggest that at high levels of technological similarity, invention quantity and average quality increase more in complex technology industries as compared to discrete technology industries. These effects are attributed to innovation cumulativeness and the interdependencies developed between patent rights in complex technology settings. A study of acquisition and patenting activity in two industries over a sixteen-year period provides empirical support to our claims.

We propose a model to explain how and why merger & acquisition (M&A) can affect firms' technological performance. The model presents two key novel features. First, we conceptualize technological performance as a bi-dimensional construct that includes both the quantity of innovations produced as well as their quality (or type). Second, we characterize the outcome of the innovation process as essentially dependent on two variables: the resources available in the process and the organizational incentives that govern the use of these resources. We then argue that two types of resources are particularly relevant to explain technological performance: technological resources and complementary assets. Moreover, we contend that not only do incentives influence the propensity of firms to innovate (i.e., the quantity of innovations produced), but they also shape the type of innovations pursued. Our thesis is that M&A influence technological performance by altering simultaneously the resources firms' can use in their innovation process as well as the incentives firms undergo in the innovation process. Some preliminary empirical findings along these lines are also discussed.

Purpose – This chapter analyzes the effects that the international integration of product markets induced by globalization exerts on the direction of technological change at the industry level.

Methodology/approach – In order to do so it elaborates an interpretative framework that complements the classical inducement hypotheses with the Schumpeterian literature and the localized technological change approach, putting forward the hypothesis that technological change is biased by the dynamics of both factor and product markets. We argue and show that not only the changing levels of input costs but also the changing prevalence of product and process innovations affect the direction of technological change: specifically when product innovations prevail technological change is skill-biased, while when process innovations play a major role innovation is capital intensive.

Findings – Following this perspective we analyze the interindustrial variance of the output elasticities of labor of the main advanced economies in recent years and claim that such heterogeneity can be understood as the result of differentiated innovative reactions of firms to changes induced by the globalization of the markets: fast-growing sectors innovate mainly through (skilled) labor-augmenting technological change, while mature industries rely more on capital-enhancing innovations. The empirical evidence supports our hypotheses and shows that the variance of the output elasticity of labor in a panel data estimate across 17 manufacturing sectors in 16 OECD countries from 1995 to 2006, is significantly and positively associated with the rates of growth of employment, wage levels and their rates of increase, and R&D intensity.

Originality/value of paper – By investigating the variance of output elasticities at the industry level the chapter provides new insights within the literature focused on the bias of technological change.

The purpose of the chapter is to study peculiarities of formation of “green economy” in Russia and to substantiate the perspectives of its development by technological parks. The “green economy” is just appearing in Russia, as its volume is 4% of GDP as of now, with a downward trend for the recent 10 years. Favorable conditions for the formation of “green economy” are created in technological parks due to the attraction of the necessary volume of investments and increased state regulation. Technological park ‘Sinarsky’, West-Siberian innovational center (Tyumen technological park), and technological park of high-tech of Khanty-Mansi Autonomous Okrug show “green” initiatives. However, their share in the total structure of technological parks of Russia is only 2%. The volume of “green” investments in technological parks of Russia constitutes RUB 0.58 billion, and the volume of “green” production – RUB 9.153 billion, with 3,980 “green” jobs. The developed authors’ concept and the offered practical recommendations allow for the deeper study of the potential of technological parks in the context of the “green economy” in Russia. According to the forecast, their implementation will allow ensuring achievement of the share of “green” technological parks in their structure at the level of 30%, thus increasing the volume of “green” investments in Russia’s technological parks to RUB 7.888 billion: the volume of “green” production to RUB 124.48 billion, and the number of “green” jobs to 54,128. “Green” development of technological parks will allow increasing the volume of “green” economy in Russia by 3.2% until 2025.

This study aims to investigate whether there are disparities in research and development (R&D) internationalization between latecomers from economy-level technological disparities and firms with ownership-specific technological capability differences in the wind turbine industry.

Employing econometric analysis based on patent indicators, the authors examine the patent data assigned by the United States Patent and Trademark Office (USPTO) to the technologically advanced economy and the technologically emerging economy.

This study finds that latecomers from technologically advanced economies behave with no difference from early leaders in terms of international co-invention (INCO) but do show differences in another indicator – native ownership of foreign inventors (NOFIs). Additionally, latecomers from economy-level technological disparity show significant differences both in both INCO and NOFI. These results indicate that the latecomers from technologically advanced economies not only possess the nature of latecomers which motivates them to seek knowledge from foreign economies but also benefit from their advanced home base, thereby prompting them to internationalize and access cost-effective R&D resources. Moreover, the results demonstrate that latecomers from technologically emerging economies are more prone to engage in R&D internationalization to augment their own home base compared with firms from advanced economy.

This study extends the literature on R&D internationalization by introducing novel perspectives. It distinguishes some apparent distinctions of the tendency of R&D internationalization between latecomers under economy-level technological disparity as well as firms from ownership-specific technological capabilities differences. Additionally, this study disaggregates R&D internationalization into twin key dimensions: INCO and NOFI. These findings allow for a comprehensive understanding of the differences in the firm's R&D internationalization under economy-level technological disparities and ownership-specific technological differences. These findings offer valuable insights for decision-makers in navigating global innovation activities by highlighting the diverse economy-level technological advantages as well as ownership-specific advantages.

Advanced information technologies, and particularly big data, provide new affordances to facilitate inter-organizational collaboration. Rich flows of real-time data provide transparency across organizational boundaries and enable greater automation of inter-organizational routines. Taking stock of the literature and building on observations from the research in an industrial setting, the authors introduce the concept of technological embeddedness as an important characteristic of inter-organizational relationships, denoting the degree of monitoring, control, and optimization of intra- and inter-organizational tasks accomplished through technology at the interface of the inter-organizational relationship. The authors theorize how increasing technological embeddedness created by big data technologies affects the development of inter-organizational trust, mutual adaptation, and temporal structuring of collaboration. The propositions elaborate how greater technological embeddedness enables collaboration, and warn about the potential limiting effects of technological embeddedness on the development of interpersonal trust, strategic learning, and long-term orientation.

The authors study the relation between a firm’s combinative capability and value creation in the context of technological scope expansion. On a sample of Compustat firms that applied for US patents between 1980 and 2001, the authors find that firm value, measured using Tobin’s q, decreases with increases in technological scope (measured as the number of unique patent classes). However, when firms expand by combining different classes into a single patent, the authors find that this negative effect is significantly diminished. These findings indicate that increasing technological scope likely creates value only when the firm is able to integrate the components into a single technology; simply maintaining different technological components within the firm boundary without integration appears to subject the firm to a discount.