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Green innovation in supply chains is crucial for socioeconomic development and stability. Factors that influence collaborative green innovation in the supply chain are complex and diverse. Exploring the main influencing factors and their mechanisms is essential for promoting collaborative green innovation in supply chains. Therefore, this study analyzes how upstream and downstream enterprises in the supply chain collaborate to develop green technological innovations, thereby providing a theoretical basis for improving the overall efficiency of the supply chain and advancing green innovation technology.

Based on evolutionary game theory, this study divides operational scenarios into pure market and government-regulated operations, thereby constructing collaborative green innovation relationships in different scenarios. Through evolutionary analysis of various entities in different operational scenarios, combined with numerical simulation analysis, we compared the evolutionary stability of collaborative green innovation behavior in supply chains with and without government regulation.

Under pure market mechanisms, the higher the green innovation capability, the stronger the willingness of various entities to collaborate in green innovation. However, under government regulation, a decrease in green innovation capability increases the willingness to collaborate with various entities. Environmental tax rates and green subsidy levels promote collaborative innovation in the short term but inhibit collaborative innovation in the long term, indicating that policy orientation has a short-term impact. Additionally, the greater the penalty for collaborative innovation breaches, the stronger the intention to engage in collaborative green innovation in the supply chain.

We introduce the factors influencing green innovation capability and social benefits in the study of the innovation behavior of upstream and downstream enterprises, expanding the research field of collaborative innovation in the supply chain. By comparing the collaborative innovation behavior of various entities in the supply chain under a pure market scenario and government regulations, this study provides a new perspective for analyzing the impact of corresponding government policies on the green innovation capability of upstream and downstream enterprises, enriching theoretical research on green innovation in the supply chain to some extent.

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.

The purpose of this paper is to explore brand innovation practices in small and medium enterprise (SME) wineries to found mid-range theory of brand innovation and to explain the interaction between upstream and downstream brand innovation during brand (re)launch.

This study deploys a qualitative research method. Data was collected through semi-structured telephone interviews with winery owners and managers from 20 German wineries. The approach explored both product and product line brands, organizational brands regarding upstream and downstream innovation and their mutual interaction.

The analyzed wineries provide evidence for up- and downstream brand innovation in the wine industry, thereby confirming previous findings that the wine industry is increasingly driven not only by tradition but also by innovation. The cases demonstrate that upscale SME wineries are able to distinguish between upstream and downstream innovation and integrate them in a meaningful way. Furthermore, the results point to the importance of team knowledge sharing and professional networks for successful upstream brand innovation, as well as social media for downstream brand innovation.

This paper presents a novel mid-range theory of brand innovation in winery SMEs, where resource constraints and a frugal approach to innovation demand for an integrated, hands-on approach.

The main purpose of this paper is to explore whether the nature of innovation is accumulative or radical and to what extent past year accumulation of technology stock can predict future innovation. More importantly, the authors are concerned with whether a change of policy regime or a variance in the quality of technology will moderate the nature of innovation.

The authors examined a dataset of 3.6 million Chinese patents during 1985–2015 and constructed more than 5 million citation pairs across 8 sections and 128 classes to track knowledge spillover across technology fields. The authors used this citation dataset to calculate the technology innovation network. The authors constructed a measure of upstream invention, interacting the pre-existing technology innovation network with historical patent growth in each technology field, and estimated measure's impact on future innovation since 2005. The authors also constructed three sets of metrics – technology dependence, centrality and scientific value – to identify innovation quality and a policy dummy to consider the impact of policy on innovation.

Innovation growth is built upon past year accumulation and technology spillover. Innovation grows faster for technologies that are more central and grows more slowly for more valuable technologies. A pro-innovation and pro-intellectual property right (IPR) policy plays a positive and significant role in driving technical progress. The authors also found that for technologies that have faster access to new information or larger power to control knowledge flow, the upstream and downstream innovation linkage is stronger. However, this linkage is weaker for technologies that are more novel or general. On most occasions, the nature of innovation was less responsive to policy shock.

This paper contributes to the debate on the nature of innovation by determining whether upstream innovation has strong predictive power on future innovation. The authors develop the assumption used in the technology spillover literature by considering a time-variant, directional and asymmetric matrix to model technology diffusion. For the first time, the authors answer how the nature of innovation will vary depending on the technology network configurations and policy environment. In addition to contributing to the academic debate, the authors' study has important implications for economic growth and industrial or innovation management policies.

Healthcare innovations for bottom-of-pyramid populations face considerable risks and few economic incentives. Can entrepreneurial innovators provide new solutions for global health? This chapter examines how a technology enterprise built a collaborative network and supportive ecosystem making it possible to steer an innovation for TB patients through discovery, development, and delivery. Ecosystem resources were mobilized and upstream and downstream co-innovation risks were mitigated to commercialize a new diagnostic test. Detailed evidence on this innovation for TB care uses ecosystem analysis to clarify core issues in the context of joint value creation. The case study shows how resources from private and public partners can be leveraged and combined by the focal firm to build joint value and to lower execution, co-innovation, and adoption risks in healthcare ecosystems combating diseases of poverty.

The aim of this paper is to establish the differences between the food and beverages (F&B) and technology-based industries with regards to the relation between previously identified success factors and innovation project performance.

These differences are established on the basis of logistic regression analysis, using 38 innovation projects (18 F&B and 20 technology-based).

Newness of the innovation project to the company, communication capabilities and market potential have a more negative impact on innovation project performance in the F&B than the tech-based industry. Especially functional upstream capabilities increase the likelihood of success in F&B, when compared to tech-based innovation projects.

While functional upstream capabilities are important for success of F&B innovation projects, there is still room for improvement in order to deal effectively with newness of the innovation project to the company. Internalization of resources from the network and a balanced radical/incremental innovation project portfolio contribute to additional enhancement of functional capabilities of the F&B companies, improving their capacity to deal with newness. Through a larger focus on co-innovation with retail, F&B companies can improve their intra- and inter-firm communication capabilities to attain more consumer-oriented integration of R&D and marketing activities, improving the market potential of their innovations.

This paper demonstrates that the previously identified critical success factors for innovation projects differ in impact and importance for F&B innovation project performance when compared to innovation projects in the technology-based industry.

Which venture capital is more beneficial in the product innovation of entrepreneurial ventures? The authors study the drawbacks and different effects of corporate venture capital (CVC) and independent venture capital (IVC) on the effectiveness and efficiency of product innovation in entrepreneurial ventures to answer this question.

This study uses a panel dataset of 502 high-tech ventures and runs the Heckman model to correct potential endogeneity issues.

The authors find that CVC increases the product innovation effectiveness of entrepreneurial ventures, but decreases their efficiency. IVC reduces innovation effectiveness and enhances efficiency. However, CVC performs less positively, while IVC performs more positively in terms of innovation effectiveness and efficiency in the B2B market than in the B2C market.

This study provides insights into how to leverage venture capital to develop new products effectively and efficiently.

This study moves beyond the current understanding of the finance-marketing interface. It delineates the two faces of venture capital and reveals the joint effects of equity stakes and market stakes between different types of venture capital and transaction markets in product innovation.

Firms have typically tried to profit from their technical innovations by selling them indirectly, embedded in goods and services. Markets for technology, in which innovations are sold or licensed, have been much rarer. Yet, trade in technology has grown systematically over the past 20 years, as reflected in the growth of arrangements such as licensing agreements, R&D joint ventures, and contract R&D. Recent estimates indicate that royalties received by American corporations for industrial processes may amount to about a quarter of total U.S. R&D. A number of supporting institutions that facilitate effective dissemination of information, standardization, and contracting are vital to the rise and functioning of markets for technology. Intellectual property rights, and in particular patents, are one such institution. The main objectives of this survey are to review critically the literature on the relationship between trade in technology and patent protection, and to assess the contribution of stricter and better-defined patent protection to the emergence of technology markets. We start our survey by providing a tentative taxonomy of markets for technology and some recent evidence on their extent and evolution. We then explore several reasons why firms would be willing to act as suppliers in the market for technology. The core of the survey revolves around the idea that patents facilitate the development of markets for technology in several ways: They enhance the ability of the licensor to extract rents from its innovation; they reduce costs in technology trade by forcing an increased codification of knowledge; they reduce information asymmetries, opportunistic behaviors, and transaction costs. However, the literature also points to some potential costs of stronger patents, including litigation costs and the problem of “anti-commons.” Finally, we explore the implications of patents and markets for technology for entry, competition and industry dynamics.

The purpose of this article is to provide insights into the innovation trajectory, and knowledge pipelines of mature industry multinational enterprises (MNEs). The ability to innovate constantly amidst a turbulent and competitive environment is often the key force behind MNE survival and dominance.

This study conducts an in-depth longitudinal study of the Goodyear Tire and Rubber Company, a global manufacturing company in the tire and rubber industry. The findings are based on USPTO patent and trademark data from 1975-2005.

The analysis reveals three crucial trends: the major role of continuous investment in innovation in the firm’s survival and turnaround; the evolution of the firm’s innovation network from a headquarters-centric model toward more geographical dispersal; and the changing mix of innovation from traditional “hard” science-based research toward a greater emphasis on “softer” competencies in design and trademarks. This third trend, in particular, opens up important new avenues for research on MNE innovation practices.

This study integrates historical analysis of a single firm in the context of its changing industry environment. The historical analysis is enriched by a detailed longitudinal quantitative analysis using a variegated dataset of patents and trademarks to investigate innovation.

This study explores the influencing factors affecting smart supply chain innovation (SSCI) performance of commodity distribution enterprises, and proposes the corresponding framework from the perspective of the application of technology to improve the SSCI performance and make up the research gap in this field.

A multi-case study method is adopted in this study. Four distribution commodity distribution enterprises A, B, C and D in China are chosen as case enterprises. The interviews with senior management team members are used to collect data. The combination of open coding and axial coding are used to process the data. By testing the reliability and validity, the theoretical framework is summarized.

First, we find that the technology application cost inhibits SSCI and that the level of technology suitable for enterprise development will promote SSCI. Second, SSCI in structure, management and services can improve the performance and innovation ability of enterprises. Third, the quality of multi-channel integration and degree of customization around customer demand can significantly modify the above effects.

Compared with previous studies, this study reveals for the first time the correlation between the SSCI performance and technology application, SSCI in structure, management and service, providing new ideas for relevant researches on SSCI, and providing new theoretical support for managers' decision-making related to SSCI.