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Examines non‐linear adaptation to change in the high‐technology environment of the computer industry. These environments are defined, and the efficacy of different organizational adaptations is assessed with respect to these environments. Results from our analyses show that there is a direct and causal relationship between the employment of non‐linear organizational archetypes and organizational effectiveness within high‐technology industries.

Despite the growing interest regarding the Brazilian rice industry, there is not much literature focusing on the role of the institutions in the process of technological capability accumulation and in the formation of the technological trajectories within this industry. This paper aims to discover the role of local institutions in the generation and dissemination of knowledge for creating the technological capability that can define different technological trajectories, using the Brazilian rice industry as an empirical field.

To achieve said objective, this paper uses secondary data (documental research) and a multiple case study design based on primary empirical evidence (content analysis and direct observation) about the Brazilian rice industry.

The paper’s main contribution is the empirical application of a framework that allows us to evaluate the institutions’ roles and activities and how these capabilities evolve as the firms’ technological levels progress and the technological trajectory is formed. Regarding aspects related to public policy, the authors found some implications that are mainly related to the need to consolidate this type of institution in developing countries with the goal of strengthening its technological capabilities, allowing these countries to operate on the technological boundary and to compete with developed countries.

There are few attempts to relate the technological capability, technological trajectories and institutions in the Brazilian rice industry. Therefore, to the best of the authors’ knowledge, the novelty of this study lies in the analysis of these theoretical approaches in this industrial sector, more specifically, in the Brazilian rice industry.

Recent technological turbulence stemming from Industry 4.0 provides managerial opportunities and challenges simultaneously. In this context, the purpose of this study is to explore the role of technological opportunism on innovativeness and discover the impact of innovativeness on new products performance in international markets.

To empirically test the hypotheses, the authors have collected survey data from 237 Korean exporting firms and applied structural equation modeling.

Empirical results indicate that technological opportunism, which represents technology sensing and responding capability, has a positive and significant influence on both exploratory and exploitative innovativeness. Also, explorative and exploitative innovativeness have positive and significant effects on new product performance in international markets.

This study highlighted the importance of technology sensing and responding capabilities to capture emerging opportunities, which may arise from Industry 4.0 technologies. In addition, sensing and responding capabilities will help a firm create a culture that values innovative proclivity, and in turn, will lead to superior new product performance in international markets.

Despite extensive scholarly interest in Industry 4.0, previous studies have neglected to address the potential impact of Industry 4.0 within the domain of new product development and its performance. Also, there have been several calls from the literature to address the managerial and strategic issues surrounding the Industry 4.0 phenomenon. In this study, the authors attempted to fill the research gaps in Industry 4.0 research studies through empirical examination.

This research outlines the technological structure of the entire Japanese manufacturing and service industry using the patent information from research and development (R&D) activities to set R&D goals.

By analyzing the technological development capability of individual companies, the direction of the companies' R&D activities and current state of technological fusion between them can be understood. A group of companies participating in a particular product/service market must have the same technological development capabilities. As a result, the ratio of patent applications by a company to the total number of applications in a technical field will be similar across companies. This study uses the inter-company correlation coefficient of the ratio of patent applications by technical field as an index of technological development capability. A total of 167 major companies covering the major industries of Japan were analyzed. The analysis period was 15 years from 2004 to 2018, and the technical fields were rearranged to 42 fields with reference to the International Patent Classification (IPC)-Technology Concordance used by the World Intellectual Property Organization (WIPO). Considering the fluctuation in patent application opportunities, the number of patent applications was collected for at least three years for the analysis of patent applications by technical field, company and industry.

Examining the entire Japanese industry, the research found that chemicals, ceramics, non-ferrous metals and electrical/electronic equipment act as intermediaries between the respective groups and are linked to the transportation equipment, electrical/electronic equipment and information and communication services industries that are currently driving the Japanese economy. However, the technical connections between these groups are relatively loose. Over the last 15 years, the propagation structure of technical knowledge information has not changed. The progress of technological fusion remains within the scope of commerce and is conditioned by commerce.

Studies focusing on the technological development capability between companies and the technological structure of the Japanese manufacturing and service industries are almost non-existent since 2000 when Japan's economic growth slowed. The analytical methods presented in this research can be applied to individual companies to gain an understanding of technical positions of companies and can be useful for planning a technical environment, business or R&D strategy.

States that it is critical that incumbent firms understand the processes that enhance or inhibit entry of new firms into their industry. A new entrant into an industry may create additional demand by legitimizing the technology/products, and/or may share the existing market by drawing buyers away from incumbents. An analysis of market entry rates is especially important in new, high technology industries where sub‐groups of firms pursue different technology and global market diversification strategies because such sub‐groups may have asymmetrical cross‐effects on entry rates of new firms. Suggests a community ecology approach to assessing the impact of industry density on new firm entry rates. The framework is demonstrated by applying it to the global personal computer industry during the period of 1977‐1992. Results suggest that density has a nonmonotonic positive effect, while the firm‐level variables of technological strategy and market expansion strategies have a monotonic positive effect on new firm entry rates.

This paper aims to examine the different impacts of six variables on firm technological innovation performance in different high-tech industries in China. Through a comparative analysis of data about growth enterprises market board (GEM)-listed companies, this study attempts to get some conclusions, to help firms in different high-tech industries use resources more rationally and to improve technological innovation performance more effectively.

This paper constructs semi-parametric models based on the relevant data of GEM-listed companies during 2010 to 2015 for different high-tech industries. These models can ensure that the influencing factors of firm technological innovation performance are no longer restricted to a particular aspect but can provide a comprehensive comparative analysis of the effects of factors on firm technological innovation performance in different high-tech industries.

The empirical results show that R&D expenditures have a significant positive impact on firm technological innovation performance in most high-tech industries, but not in electronic and communication equipment manufacturing industry; R&D personnel investment and government subsidies have significant positive impacts on firm technological innovation performance in knowledge-oriented industries; technology diversity has a significant positive impact on firm technological innovation performance in technology-oriented industries; the proportion of exports shows an inverted U-shaped relationship with firm technological innovation performance in electronic and communication equipment manufacturing industry, while firm size shows an inverted U-shaped relationship with firm technological innovation performance in general equipment manufacturing industry; and the effect of semi-parametric model fit is superior to the general parameters model.

Drawing on the resource dependence perspective, this paper is the first to consider a comprehensive treatment of differential effects of internal resources (R&D personnel, R&D expenditure), external resources (government subsides) and firm characteristics (firm size, export ratio) on firm technological innovation performance in different high-tech industries in an emerging country, in particular in contrast to previous studies that have focused on a single industry or taken the type of industry as a control variable. In addition, most studies about the determinants of firm innovation performance are based on survey questionnaires, which may introduce large subjective errors. Setting the relationship between variables in advance may also introduce fit error when using a general-parameter model. Semi-parametric regression which is used in this paper is able to prevent this shortcoming effectively. When constructing a regression model, this can be exempted from the formal constraints, thus estimating data more accurately and ensuring superior fit.

The extant “supply‐side” frameworks of industry evolution fail to predict the evolutionary patterns in industries based on systemic technologies. This paper aims to describe the complex demand environment in industries based on systemic technologies and to explain how the continuously evolving demand structure influences the choice and level of firm investments in the above context.

The paper identifies a conceptual gap in the “technology‐centric” literature on industry evolution by conducting a detailed interpretive survey of the literature that focuses on the demand‐side determinants of firm‐ and industry‐level technological processes underlying industry evolution, and co‐evolution of the technological system underlying an industry and the consumer applications based on the same.

The paper provides a set of empirically verifiable mechanisms to explain competing firms' choice and level of investment under conditions of technological and demand uncertainty in industries based on systemic technologies. On one hand, firms' investments influence the evolution of both the technological system(s) and their constituent components that underlie such industries and, on the other, firms' investments influence the consumption of the array of consumer applications that are generated in these industries.

The theoretical explanation provided herein not only enhances the understanding of the role of demand‐side factors as determinants of rate and direction of technological advances but also lies central to the understanding of the evolution of industries based on systemic technologies. More specifically, the paper explains how the interaction between continuously evolving demand structure in the downstream market(s) for consumer applications and the technological components comprising the technological system influences competing firms' choice and level of investments.

Because of importance of technological learning for less developed countries, the notion has received increasing attention of scholars. The purpose of this paper is to investigate technological learning systematically by assessing the effect of technology transfer actors on technological learning in less developed countries context.

The paper presents assessment model by adopting technological learning concept based on technology absorption and incremental innovation at firm level and identifying key roles of technology transfer actors (State – Scientific and technological infrastructure – Industry) that affect technological learning. The paper follows survey as research methodology. Thus, a questionnaire was addressed to 33 Syrian textile factories to examine the assessment model. Simple linear, multiple linear and ordinal regression analyses are preformed to examine relationships of model components.

The regression models show notable ability of technology transfer actors to explain technological behavior of firms to accumulate operative capability and consequently to generate passive incremental innovation. The findings indicate passive technical change system of Syrian textile industry. Therefore, goal-oriented evaluation of actual technology policy is preliminary step for achieving improvements, as well as activating scientific and technological infrastructure role by enabling strong relationships with industry and supporting interactions of domestic firms of textile industry and with foreign players.

The paper enriches technological learning literature by proposing systematic approach that sets the nature of technical change process of less developed countries in core of analysis. Moreover, it provides a guide for technological learning practices at firm level and for policymakers based on assessing actual status of Syrian textile industry.

Technological innovations can have Important strategic implications for individual companies and can greatly influence industries as a whole. Yet, not all technological change is strategically beneficial. This article focuses on ways to recognize and exploit the competitive significance of change.

The purpose of this study is to investigate the impact of an industry’s connectedness to foreign countries on knowledge sourcing.

The authors examine the research model through probit regression techniques to the 472,303-patent data across 16 industries derived from the United States Patent and Trademark Office.

The results suggest that international connectedness increases the accessibility of foreign knowledge and helps the accumulation of technological capability. Thus, this paper provides a better understanding that international connectedness can be critical for exploiting knowledge dispersed worldwide and influencing intra- and interindustry knowledge-sourcing behavior in the home country.

While prior studies have mainly paid attention to the relationship between parents and subsidiaries in foreign countries for international knowledge sourcing, the authors attempt to analyze international and local knowledge sourcing with a broader set of knowledge sourcing channels at an aggregate level. By considering an industry’s export intensity and inward foreign direct investment, this study reveals specifically how the extent of an industry’s international connectedness influences knowledge sourcing from both abroad and locally.