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The increasing economic importance of knowledge is redefining firm‐market boundaries, work arrangements and the links between education work and learning. This article proposes a new framework: the knowledge supply model, which helps individuals, firms and learning institutions understand the dynamics of change and emerging patterns of knowledge demand and supply in different sectors of the economy. It also assists learning institutions to tailor their products and services to the needs of knowledge consumers. As working and learning become synonymous, firms, workers, educators and intermediaries will have to adopt new roles and develop new strategies. Understanding the dynamics of knowledge demand and supply should assist all actors in navigating knowledge markets of the new economy.

Knowledge‐intensive firms are growing in importance yet there are few tools to help managers to analyze and improve their performance, which this paper aims to describe.

This paper builds on Michael Porter's strategic frameworks for industrial firms. It outlines how his frameworks, in particular the five forces and value chain, need to be modified if they are to be effectively applied to knowledge‐intensive firms.

Managers of knowledge‐intensive firms need to use the old tools in new ways, if they are to improve their business models and ultimately increase their profitability.

The paper outlines ways for managers of knowledge‐intensive firms to improve their firm's performance. First, managers using a revised five forces can improve their value capture by reducing bargaining power of its experts, making outsourcing of expert services more attractive, or improving their reputational status. Second, the paper outlines a continuum of business models and suggests that the appropriate choice of business model depends on the firm's problem‐solving expertise, its target clients, desired risk level and aspirations. The paper elaborates on the business model by examining choices surrounding the scope of the firm's problem‐solving activities, suggesting that these allow the firm to find profitable niches.

This is one of the first attempts to develop strategic tools that managers of knowledge‐intensive firms can used to increase their firm's profitability.

The prevailing theories of entrepreneurship have typically revolved around the ability of individuals to recognize opportunities and act on them by starting new ventures. This has generated a literature asking why entrepreneurial behavior varies across individuals with different characteristics, while implicitly holding the external context in which the individual finds oneself to be constant. Thus, where the opportunities come from, or the source of entrepreneurial opportunities, are also implicitly taken as given. By contrast, we provide a theory identifying at least one source of entrepreneurial opportunity – new knowledge and ideas that are not fully commercialized by the organization actually investing in the creation of that knowledge. The knowledge spillover theory of entrepreneurship holds individual characteristics as given, but lets the context vary. In particular, high knowledge contexts are found to generate more entrepreneurial opportunities, where the entrepreneur serves as a conduit for knowledge spillovers. By contrast, impoverished knowledge contexts are found to generate fewer entrepreneurial opportunities. By serving as a conduit for knowledge spillovers, entrepreneurship is the missing link between investments in new knowledge and economic growth. Thus, the knowledge spillover theory of entrepreneurship provides not just an explanation of why entrepreneurship has become more prevalent as the factor of knowledge has emerged as a crucial source for comparative advantage, but also why entrepreneurship plays a vital role in generating economic growth. Entrepreneurship is an important mechanism permeating the knowledge filter to facilitate the spillover of knowledge, and ultimately generating economic growth.

Adopting a knowledge-based view of the firm, this chapter explores how different contents of firm-level entrepreneurship may influence performance of SMEs in moderately dynamic industries, which represent the bulk of economic activity in several countries. More specifically, this study aims, first, at identifying what types of entrepreneurial behavior – new-market entry, new-product development, diversification – are more suitable in order to survive and prosper in industries characterized by moderate growth and dynamism. Second, the analysis aims at assessing whether knowledge sharing is to be promoted in order to successfully compete in these industries. Third, the study aims at identifying which type of knowledge – market knowledge or technology knowledge – is most needed to develop entrepreneurial behavior and performance in low-growth industrial contexts. Following a knowledge-driven approach, we propose a view on corporate renewal that may complement current streams of research focused on large firms in high-velocity settings. Emerging results contribute to advancing the literature on entrepreneurial renewal by providing both an investigation of such behaviors within an industrial setting different from the high-growth, high-technology industries in which investigations have been conducted so far, and by suggesting that rich insights may be gained by investigating entrepreneurial recombinations within smaller firms that operate in less-dynamic contexts.

Despite the importance of green supply chain integration (GSCI) in advancing green innovation (GI) is recognized, it remains unclear how firms can translate their GSCI efforts into GI. Therefore, this study aims to understand how GSCI affects GI, with its dimensions (exploitative GI and exploratory GI), as well as to investigate the mediating role of green knowledge integration capability (GKIC) and the moderating role of blockchain technology (BCT) adoption.

On the basis of data collected from 247 managers working in Indian firms in the automotive industry, the authors tested the proposed model using the PROCESS macro tool via SPSS software.

The empirical results indicate that GSCI is positively associated with both exploitative and exploratory GI, with a higher effect on exploitative GI. In addition, GKIC mediates the link between GSCI and exploitative GI in contrast to exploratory GI. Notably, the relationship between GSCI and GKIC is stronger when BCT adoption is high.

This study opens the black box of how GSCI affects exploitative and exploratory GI by revealing the mediating role of GKIC and the moderating role of BCT adoption. It provides valuable insights for practitioners to translate GSCI efforts into GI through developing GKIC and adopting BCT.

Digital transformation (DT) is among the vital factors contributing to innovation ambidexterity, especially for advanced manufacturing firms (AMFs). However, the empirical studies on the relationship between DT and innovation ambidexterity in AMFs from the perspective of knowledge management are inadequate. Therefore, this study aims to systematically analyze the impact of DT on innovation ambidexterity and its mechanism of action.

This study selects 254 listed firms within the ten key areas of “Made in China 2025,” as they occupy a key position in China’s advanced manufacturing system. Based on the knowledge-based view (KBV) and contingency theory, it constructs a model of the influence mechanism of DT on innovation ambidexterity.

The results show that the DT of AMFs positively influence innovation ambidexterity. External pressure from environmental turbulence enhances the positive relationship between DT and innovation ambidexterity, demonstrating the “resilience effect,” external knowledge search (EKS) and broadening the knowledge base mediating roles between them, highlighting the “accumulation effect.”

By identifying this mediation mechanism of DT and innovation ambidexterity, this study provides new ideas for path research on the KBV. Moreover, this study explores the triggering effect of market environmental turbulence on the DT of firms. It reveals the boundary conditions of DT acting on innovation ambidexterity, expands the research perspective on organizational resilience and enriches the theory of power change.

Network formation is often said to be driven by social capital considerations. A typical pattern observed in the empirical data on strategic alliances is that of small-world networks: dense subgroups of firms interconnected by (few) clique-spanning ties. The typical argument is that there is social capital value both to being embedded in a dense cluster, and to bridging disconnected clusters. In this chapter we develop and analyze a simple model of joint innovation where we are able to reproduce these features, based solely on the assumption that successful partnering demands some intermediate amount of technological similarity between the partners.

An emerging stream of literature has observed that project-based organizations rely increasingly on a network of collaborations originating from the ongoing process of creating and dissolving relationships that bring new project opportunities. Project-based networks are widespread in knowledge-intensive and creative industries, such as life-science and biotechnology, nanotechnology, and software, film, and music industry. This chapter examines the structural characteristics of project-based network-ties in German biotech. We focus on the consequences of local versus international network ties for the innovative success of German biotechnology firms. The findings of our longitudinal event history analysis indicate that the most valuable learning drivers are international research alliances and centrality within the international research network. Surprisingly, we do not find any local effects: neither the density of a local research cluster, nor its diversity or age is of significance. Our results shed new light on the relevance of international linkages for firms that are engaged in project-based learning networks.

To adapt to the rapidly changing market environment, firms must constantly adjust and change their knowledge base to develop new technologies. The purpose of this paper is to analyze the improvement path of firms’ breakthrough innovation from the perspective of knowledge recombination in the context of dynamic change in the knowledge base. By analyzing the influencing mechanism of environmental dynamism on the relationship between the two, this paper provides a theoretical foundation for managers to make knowledge recombination decisions under a dynamic external environment while further enriching the firm’s innovation achievements.

Using data from 220 manufacturing firms listed on the Shanghai and Shenzhen A-share stock from 2010 to 2018, an extensive panel data set was constructed to investigate the effect of knowledge recombination, which was divided into recombination creation and recombination reuse, on firms’ breakthrough innovation. In addition, the authors differentiated environmental dynamism as market dynamism and technological dynamism and then examined its moderating role in the above relationships.

The research results show that various recombination behaviors of knowledge elements have a differentiated effect on firms’ breakthrough innovation presented as follows: Knowledge recombination creation is significantly positively correlated with firms’ breakthrough innovation, while knowledge recombination reuse is significantly negatively correlated with firms’ breakthrough innovation. In addition, environmental dynamism has a considerable moderating effect between knowledge recombination and firms’ breakthrough innovation further, emphasizing that the moderating effect on different types of knowledge recombination behaviors is significantly distinct.

First, given that this study refers to several Chinese noted databases to collect second-hand data for empirical analysis, future research could use first-hand data by collecting questionnaire survey and interview to provide a more practical and detailed research conclusion. Second, the authors focused on the contextual variable to explore the moderating role of environmental dynamism on the relationship between knowledge recombination and breakthrough innovation. Nevertheless, the indirect effects of other internal factors were not discussed. The authors advocate future studies to involve other moderators from employee social and phycological perspectives, such as trust in colleagues in the proposed theoretical models in this study.

This study is conducive for managers to attach great attention to knowledge management practices in the firm and to understand the critical role of knowledge recombination in affecting innovation performance under dynamic environmental changes. Moreover, this study provides practical guidance and serves as a reference for firms to strengthen their knowledge recombination ability as full utilization of existing knowledge elements and exploration of new knowledge values.

Primarily, from the perspective of dynamic changes in the knowledge base, this paper explores how the knowledge recombination behaviors affect firms’ breakthrough innovation, thereby enriching and extending the relationship theory between knowledge recombination capabilities and breakthrough innovation, while new and valuable ideas are provided in the study of issues related to the firms’ breakthrough innovation; Moreover, this study analyzes the moderating effects of diverse types of environmental dynamism on the relationship between knowledge recombination and firms’ breakthrough innovation from a multi-dimensional perspective proposing that the moderating effects of environmental dynamism on different knowledge recombination behaviors are distinct.

Technical knowledge is a key factor in firm innovation. This study aims to construct a theoretical framework of technological boundary-spanning search, exploratory innovation and exploitative innovation to help firms adjust their search strategies and improve the effect of external resources on internal innovation.

The study uses questionnaires to collect data and conducts empirical analysis using SPSS25 and AMOS24.

Technological boundary-spanning search is positively correlated with ambidextrous innovation. Additionally, knowledge base positively moderates the effect of technological boundary-spanning search on ambidextrous innovation and knowledge distance negatively moderates the effect of technological boundary-spanning search on ambidextrous innovation. When a firm’s knowledge base is robust, its ambidextrous innovation can benefit more from technological boundary-spanning search. Additionally, when the knowledge distance is less, a firm’s ambidextrous innovation can benefit more from technological boundary-spanning search.

Considering organizational ambidexterity, this study divides firm innovation into exploratory innovation and exploitative innovation and presents a theoretical framework for the effect of technological boundary-spanning search on ambidextrous innovation. Additionally, it provides a comprehensive understanding of the crucial roles of knowledge base and knowledge distance in the relationship between technological boundary-spanning search and exploratory and exploitative innovation.