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With the advance of the Silk Road Initiative proposed by China, it has been a focus of China government to develop strategic emerging industries. The development of strategic emerging industries needs the support of competitive intelligence on many aspects such as strategical planning, policy making, industrial structure adjustment, and technology innovation. However, so far there are few studies toward the competitive intelligence systems for strategic emerging industries. In this article, we focus on a number of issues related to the competitive intelligence for strategic emerging industries in China. First, we conduct a strengths, weaknesses, opportunities, and threats analysis on the situations of strategic emerging industries in China, based on which the necessity of building a competitive intelligence (CI) service system for strategic emerging industries is discussed. Next, the authors present a framework of a CI service system for strategic emerging industries in China. The principles, components, working process, and product forms are deeply described. The CI service system proposed in this article consists of a cooperation network platform, three layered organizations, and three systems, which integrates organizations, information, people, network, and service platforms into an ecosystem to offer competitive intelligence supports for government, industry, and enterprises. Finally, the authors discuss a case study of the proposed CI service system for the new energy automobile industry.

Because of the globalization of the knowledge economy, intellectual property (IP) rights have become an important tool for maintaining market leadership and controlling emerging market shares. This paper aims to identify the IP risks that China’s strategic emerging industries face in the process of knowledge management in the post-COVID-19 pandemic era seeking to minimize these risks and reduce unnecessary losses.

Based on an analysis of the current situation in China’s strategic emerging industries, this paper qualitatively organizes the various types of IP risks faced by China’s strategic emerging industries in their development with knowledge creation, knowledge transfer and knowledge application. This paper further analyzes the factors triggering the risks and proposes endogenous and exogenous IP risk-prevention strategies for China’s strategic emerging industries from the perspective of knowledge management.

Adopting a knowledge management perspective, this paper identifies three main intellectual property risks in the knowledge creation, transfer, application processes of knowledge management for China’s emerging industries, including infringement risks related to independent innovation, leakage risks related to international cooperation and ownership risks related to technology transfer.

Based on the entire technology–product–application process and from a knowledge management perspective, the IP risks in the development of China’s strategic emerging industries are comprehensively elaborated in this paper, providing a theoretical basis for avoiding IP risks that is also widely applicable to other knowledge-intensive industries.

This paper explicates the IP risk faced by China’s strategic emerging industries in each step of the knowledge management process and suggestions from knowledge management strategy, tools and implementation support mechanism holds promise for business, industry and government IP risk prevention are elaborated specially to promote the development of China’s strategic emerging industries. On the one hand, this paper expanded the research on knowledge management by exploring the relationship between knowledge management and intellectual property rights variables. On the other hand, the findings have practical significance for the stable, long term and efficient development of strategic emerging industries in China as well as other knowledge-intensive industries. Empirical analyses on this subject are suggested for future studies.

The purpose of this paper is to find the specific competitive industries in emerging industries of strategic importance of each province in China in order to provide references for industrial cultivation and development.

This paper uses quantitative analysis methods on RCA and R&D efficiency.

Different provinces have specific competitive emerging industries of strategic importance. Taking biotechnology, equipment manufacturing, and new generation of information technology industry as examples, this paper finds: for the advanced equipment manufacturing industry, Shaanxi, Sichuan, Guizhou, Tianjin, Liaoning, Heilongjiang and Jiangxi provinces have obvious characteristics and relatively high R&D efficiency; for bio‐technology, Jiangsu, Henan, Jiangxi, Hunan, Zhejiang and Shandong provinces have obvious characteristics and relatively high R&D efficiency; and for the next generation of the information technology industry, Jiangsu, Guangdong, Fujian, Beijing, Tianjin and Shanghai provinces have obvious characteristics and relatively high R&D efficiency.

This study is limited by lack of industrial comprehensiveness so that more statistical data about emerging industry of strategic importance is needed for more in‐depth analysis.

The identification of specific competitive emerging industry of strategic importance of each province will give managers and policy makers train of thought for the cultivation and development of strategic emerging industry and make future policies more targeted.

The paper contributes to the research on the differentiated cultivation and development tactics of strategic emerging industry by, respectively, finding out the specific competitive emerging industries of each province in China.

The purpose of this research is to explain the financing dilemma of China's strategic emerging industries and improve their financing efficiency, seize the commanding heights of economic science and technology to provide theoretical support.

This paper selects the companies listed under strategic emerging industry during the period of 2010–2017 as the research object and used the data envelopment analysis method (DEA) to evaluate the financing efficiency of China's strategic emerging industries and selects the tobit analysis method to find out the factors affecting its financing efficiency.

The results show that the average financing efficiency of listed companies in strategic emerging industries between 2010 and 2017 is 0.7792, and the level of financing efficiency of strategic emerging industries is still at a low level. Among them, the bio-pharmaceutical industry and the energy-saving and environmental protection industry have the highest comprehensive level, and the high-end equipment manufacturing industry and the new energy industry have the lowest level of financing efficiency. Among the factors affecting the financing efficiency of strategic emerging industries, the asset-liability ratio, financial expenses and cash ratio and financing efficiency are negatively correlated, and the net asset income is positively correlated with the growth rate of the main business income.

This paper measures the financing efficiency of China's strategic emerging industries, then explores the influencing factors of the financing efficiency of strategic emerging industries and tries to provide important reference values for the improvement of the financing efficiency of China's strategic emerging industries at a practical level.

The purpose of this paper is to focus on the impact of country-level factors and aim to find out how the factors affect the export competitiveness of agricultural industries from emerging markets. Agricultural industries have been traditionally one of the important contributors to the increased exports from emerging markets.

The revealed comparative advantage (RCA) approach is used to define the export competitiveness of agricultural industries in emerging markets. Regression and factor analysis are used to find out the relationship between export competitiveness and important country-level factors, such as wage cost, irrigated land area, food price index, export of agriculture products, domestic consumption demand and exchange rate, against US dollars of different countries from emerging markets.

Export of agriculture products, irrigated land area and exchange rate against US dollars were found to have positive relationship with export competitiveness of agriculture industry. On the other hand, labor cost and domestic consumption demand were found to have a negative relationship with the export competitiveness.

In transformation of emerging economies, a higher level of export, larger area of irrigated land and stable exchange rate of US dollars will benefit the agriculture export of emerging markets. The rising wage cost and domestic consumption need can restrain the export competitiveness of emerging markets.

The research offers important hints for emerging markets to find their own ways to maintain a sustainable competitive advantage in export market by controlling the country-level factors. Also, it revealed the future problems that can appear in the transformation, with practical suggestions following. This research will be helpful to both policy-makers and global managers.

The purpose of this paper is to explore the process of legitimation of international new ventures (INVs) from an emerging economy and the effect such ventures have on the process of creation and legitimation of a new industry in that economy.

It is a longitudinal ethnographic case study. Following an inductive theory building approach, data were collected over an 11-year period via in-depth interviews, participant observations and unobtrusive data.

Data reveal three different contexts in which legitimation takes place: legitimation of the new industry and of the new venture domestically and internationally. A new venture drives the process of industry legitimation by achieving legitimacy threshold first nationally at meso and micro levels as well as internationally. The challenge therefore for such a venture is to establish legitimacy in the absence of any precedents at the organization, industry or international levels. Unless at least one new venture achieves legitimacy threshold in a new industry there is no possibility for that industry to become institutionalized.

The authors advocate for further research at the intersection between legitimation, international entrepreneurship and emerging markets in order to further advance the emergent theory.

The data suggest that in order for an INV to achieve cognitive legitimacy and socio-political legitimacy in an emerging industry located in an emerging economy, and successfully internationalize, it shall design a robust business model targeting both internal and external stakeholders; engage in persuasive argumentation invoking familiar cues and scripts; engage in political negotiations promoting and defending incentive and operating mechanisms; and overcome the country-of-origin effect by pursuing technology legitimation strategy.

Governments and NGOs may wish to see new industries emerge but they lack the means and mandate to establish and lead them themselves, instead rely on enabling actions, such as investment in capacity building. However, building capacity for an as-yet non-existent industry in an emerging economy may prove to be counter-productive, driving a brain drain of qualified workers who are forced to migrate to find suitable work. The work leads the authors to speculate about whether there may be a role for investment in programs of industry legitimacy building in pursuit of public policy objectives.

The study puts forward a process model of new industry legitimation. The model theorizes the process of change from an initial condition in which an industry does not exist to a final condition in which it is institutionalized. The model addresses the case where the initial catalyst is the formation of an INV that is the seed for the birth of the industry. Since both the new venture and the new industry lack cognitive and socio-political legitimacies, the model theorizes temporal emergence of these at organizational and industry levels, leading ultimately to institutionalization.

The momentous contribution of innovative technologies has made a significant impact in several sectors globally. However, the construction industry is undoubtedly lagging when it comes to technology usage. Thus, this study aims to explore the various emerging technologies in the construction industry while noticing stakeholders’ challenges and strategies in its use.

The study used a pragmatism research philosophy together with a quantitative research strategy in determining emerging technologies in the construction industry while noticing stakeholder challenges and strategies. Data were obtained from a total of 80 construction stakeholders through a structured questionnaire survey. The analysis was done with descriptive statistics using mean score ranking and a one-sample t-test.

Each emerging technology challenge was analysed and compared to see how pressing the challenges were as well as the aligned strategies. A key indication of this study is that the familiarity of the various emerging technologies was based on how many occasions one had an encounter with the technology.

The discussion’s findings contribute to a better knowledge to construction stakeholders on the challenges and strategies for rising technology adoption and implementation competencies.

The study reckoned stakeholders’ challenges on the emerging technologies in the construction industry context and recommended strategies to balloon the adoption of these emerging technologies in a developing country setting.

While the phenomenon of R&D offshoring has become increasingly popular, scholars have mostly focused on R&D offshore outsourcing from the point of view of the client firms, who are often from an advanced country. By examining vendor firms, in this paper the authors shift the focus to the second party in the dyadic relationship of R&D offshore outsourcing. Specifically, the authors compare vendor firms with nonvendor firms from the same emerging economy and industry to look at whether vendor firms from emerging economies can improve their innovation performance by learning from their clients. The authors also look at the role of depth and breadth of existing technological capabilities of the vendor firm in its ability to improve its innovation performance.

This study is based on firm-level data from the Indian biopharmaceutical industry between 2005 and 2016. The authors use the Heckman two-stage model to control for self-selection by firms. The authors compare the innovation performance of vendor firms with nonvendor biopharmaceutical firms (group vs nongroup analysis) as well as innovation performance across vendor firms (within group comparison).

The authors find that, compared to nonvendor firms, R&D offshore outsourcing vendor firms from emerging economies have higher innovation performance. The authors argue that this higher innovation performance among vendor firms is due to learning from their clients. Among vendor firms, the authors find that the innovation gains are contingent upon the two factors of depth and breadth of the vendor firms' technological capabilities.

This paper makes three contributions: First, the authors augment the nascent stream of research on innovation from emerging economy firms. The authors introduce a new mechanism for emerging economy firms to learn and upgrade their capabilities. Second, the authors contribute to the literature on global value chains, by showing that vendor firms are able to learn from their clients and upgrade their capabilities. Third, by examining the innovation by vendor firms, the authors contribute to the R&D offshore outsourcing, which has largely focused on the client.

The study findings have important implications for both clients and vendors. For client firms, the authors provide evidence that knowledge spillovers do happen, and R&D offshore outsourcing can turn vendors into potential competitors. This research helps firms from emerging economies by showing that becoming vendors for R&D offshore outsourcing is a viable option to learn from foreign firms and improve innovation performance. Going outside geographic boundaries may be a large hurdle for these resource-strapped, emerging economy firms. Providing offshore outsourcing services for narrow slices of R&D activities may be a starting point for these firms to upgrade their capabilities.

This paper is among the first to quantitatively study the innovation performance of vendor firms from emerging economies. The authors also contribute to the nascent literature on innovation in emerging economy firms by showing that providing R&D offshore outsourcing services to client firms from advanced countries can improve firms' innovation performance.

The increasing adoption of informatization in the architecture, engineering, and construction (AEC) industries has raised the competency requirements for AEC practitioners. However, existing research primarily focuses on the integration of emerging technologies in AEC education programs, with little attention to the development of informatization-related competencies. Therefore, this paper aims to explore the competency requirements in the information age of the AEC industry.

Taking a policy perspective, this study investigates the competency requirements within the context of AEC industry informatization. By employing a competency-based theoretical framework, content analysis is conducted on China's policy document, the Outline of the Development of Informatization in the Construction Industry.

The study identifies crucial emerging technologies in the AEC industry, such as building information modeling (BIM), Big Data, Internet of things, networking, and cloud computing, along with their application scenarios. It considers various market players, including survey and design institutes, construction companies, and general contracting enterprises. Comparative analysis reveals the technology application patterns of these market players, shedding light on their preferences and perspectives. Based on these findings, the study proposes recommendations for competency requirements in the AEC industry.

This study extends the competency-based theory to AEC education from a macro perspective. The findings enhance understanding of informatization by providing insights into the related technologies, their applications, and the market players utilizing them. Moreover, the study's results have significant implications for AEC education, particularly in the design of curriculum systems for emerging technology-related fields.