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Understanding the role of corporate strategies in sustainability has become a hot topic for scholarly research. Meanwhile, firms strive to innovate and shape their positive image in the contemporary business arena. Past research has ignored investigating whether and how sustainability-oriented corporate strategies could drive innovation and firm image among external stakeholders. To address the said research gap, this paper examines the path through which sustainability-oriented corporate strategy and environmental regulation improve green corporate image and green innovation capabilities (i.e. green process and product innovation).

This study adopted a quantitative survey-based method. The online survey was adopted to collect data from employees working at the managerial level in the equipment manufacturing sector. The data collected from 343 managers that was complete in all aspects was used for empirical analysis using structural equation modeling. Direct and indirect relations were evaluated.

The findings reveal that sustainability-oriented corporate strategy and environmental regulation drive green innovation and green corporate image. Findings further show that external knowledge adoption underpins these effects of sustainability-oriented corporate strategy and environmental regulation.

The study delivers theoretical and practical understandings of the importance of sustainability-oriented corporate strategies to green corporate image and green innovation capabilities.

Drawing on open innovation and knowledge-based view, this study was initiated by investigating the fact that despite the growing literature on external knowledge being important for bridging the knowledge gap across the new product development (NPD) processes, gaps exist to explore as to what are the potential knowledge sources and their contribution for the Fuzzy-Front end (FFE-) (i.e. idea-generation) phase of the NPD process?

Thirty-seven open-ended interviews with the NPD managers in large firms from the Chemicals and Electronic industries have been conducted to collect the data following thematic analysis into NVIvo 12.

The findings reveal customers, suppliers and external research organizations are the potential knowledge sources. Each of the sources delivers distinct knowledge for FFE of the NPD process. The empirical analysis of this study demonstrates that each of the potential knowledge sources though bridges the knowledge gap that innovative firms seek for the FFE of the NPD process, however collaboration with such sources incurs significant costs, risks, resources, capabilities and management practices which differs noticeably among different kinds of knowledge sources.

Managers must need assessing not just the gains but also the pains associated with each of the knowledge source before deciding to make additional investments in terms of resources and capabilities dedicated to learning from them while considering any of these for the FFE.

This new conceptualization of FFE offers a better theoretical and practical rationale for how and what types of different sources of knowledge can bridge the knowledge gaps for the FFE of NPD processes provided that innovative firms have necessary resources to entail a successful collaboration.

This study aims to develop an original conceptual framework to guide research into knowledge transmission between professional external knowledge providers and their business clientele. As such, the framework aims to bridge a gap between theory and practice by explicating the processes which affect knowledge transmission and the conversion of knowledge for business application (i.e. knowledge transference).

Key concepts from disciplines of knowledge management, information management, communications, services marketing and business advice are reviewed and integrated into the development of this framework. Underpinned by a critical realist philosophical lens, it provides a robust research guide for examining business advisor knowledge actions in a changing open environment.

This study identifies that the process of knowledge transmission from a source external to a business is more complex than internal knowledge sharing. It addresses this complexity through a knowledge transmission framework, in a research design that is applicable to any methodological paradigm. Real-world application is identified in its applicability for evaluating mechanisms to facilitate knowledge transmission practices of external advisors to small business in regionally isolated communities.

The critical realist research methodology allows for causality in knowledge transmission to emerge; however, no assertion is made that the conceptual framework developed needs any particular philosophical paradigm for its application. Instead, what is asserted is that the research framework developed in this paper is specifically suited to the characteristics of external knowledge providers, their tacit knowledge and the businesses they service.

This study reconceptualises various theoretical perspectives and develops a sequential process for addressing a research lacuna by specifically examining the processes (or connections) between external business advisor’s knowledge and their advisory actions. With these processes clearly established, the role of external knowledge providers, as knowledge transmitters, deepens the understanding of knowledge transference that up until now has focused typically on internal organisation aspects.

This study focuses on resolving empirical inconsistencies in the relationship between external search breadth and innovation performance. Based on research on the knowledge-based view and innovation barriers, three internal barriers that weaken the effectiveness of external search breadth are discerned: information, rigidity and financial barriers.

For empirical analysis, the Korean Innovation Survey 2016 of manufacturing firms was utilized. This study defines innovation performance as the number of patent applications and new product introduction that are analyzed through zero-inflated negative binomial and logistic regressions, respectively.

The empirical analysis showed three findings. First, external search breadth has a positive relationship with the number of patent applications but not with new product introduction. Second, financial barrier weakens the positive association of external search breadth with the number of patent applications. Third, the interactions of external search breadth with the three internal barriers are negatively related to new product introduction.

This study makes two theoretical contributions. First, by examining barriers to external knowledge search, this research helps identify potential bottlenecks in this search. Second, the study reveals that the effectiveness of external search breadth may have a boundary in firm innovation by showing that this search affects patent application and new product introduction differently.

Driven by the development of the global digital economy, knowledge management in industrial enterprises offers more possibilities for green innovation. Based on the perspective of external knowledge sources, this study aims to construct a panel regression model to explore the relationship between digital economy and industrial green innovation efficiency.

Panel data from 30 regions in China from 2011 to 2020 were selected as research samples. All data are obtained from national and provincial statistical yearbooks. Coupling coordination degree analysis, entropy method, panel regression analysis, robustness test and threshold effect test by Stata 16.0 were used to test the hypotheses.

The empirical results demonstrate the hypotheses and reveal the following findings: the digital economy is positively related to industrial green innovation efficiency and external knowledge sources, and external knowledge sources mediate the relationship between them. Moreover, based on the threshold test results, the digital economy has a double-threshold effect on industrial green innovation efficiency.

Based on the perspective of external knowledge sources, the proposed mediating mechanism between the digital economy and industrial green innovation efficiency has not been established previously, further enriching the research on the antecedents and outcomes of external knowledge sources. Moreover, this study estimated the direct influence mechanism and double-threshold effect of the digital economy on industrial green innovation efficiency from theoretical and empirical analysis, thus responding to the call of scholars and adding to existing research on how the digital economy affects the green transformation of industrial enterprises.

Firms are engaging in eco-innovation as a response to environmental concerns. Due to its complexity, firms are searching, absorbing and using externally acquired knowledge toward implementing eco-innovation. Thus, this study aims to examine how different external knowledge sources affect the eco-innovation of small and medium-sized enterprises (SMEs) in developing economies.

The study uses an Ordered Probit regression analysis for 318 developing economy SMEs to examine the impact of vertical flows (suppliers and customers) and horizontal flows (competitors and scientific organisations) on eco-innovations.

On the vertical dimension, the results show that external knowledge from suppliers is positively associated with eco-product and eco-process innovations. However, external knowledge from customers is positively associated with eco-product innovation, but not eco-process innovation. On the horizontal dimension, external knowledge from competitors contributes to eco-process innovation, but not to eco-product innovation. Finally, external knowledge from scientific organizations is positively related to eco-product and eco-process innovations.

First, the study contributes to the external knowledge literature by focusing on developing country SMEs. Second, the methodology used in this study constitutes a novelty as it provides a tool that categorizes firms according to the extent of emphasis they placed on both eco-product and eco-process innovations. Finally, it offers new evidence by revealing that the effects of external knowledge on eco-innovations are differentiated and not equally beneficial to firms.

This paper aims to focus on the characteristics of a two-tier network featuring internal subject cooperation and external embedded cooperation in the context of regional innovation systems (RISs) and explore the influence of network characteristics on knowledge emergence.

Using social network analysis, a two-tier internal and external cooperation network of a RIS is constructed. A negative binomial regression method is used to explore the effects of the characteristics of these two-tier internal and external networks on knowledge emergence, the moderating effect of the cooperation knowledge base in this context is investigated and grouping and quantile regressions are used to conduct heterogeneity analysis.

The scale of the internal cooperation network has a positive effect on knowledge emergence, and the betweenness centralization of the internal cooperation network has an inverted U-shaped effect on knowledge emergence. The scale and structural holes of the external embedded network have an inverted U-shaped effect on knowledge emergence. Furthermore, the internal cooperation knowledge base weakens the influence of the external embedded network on knowledge emergence.

This research may enlighten policymakers with respect to improving the scale and structure of the RIS cooperation network and matching the embedded network based on the internal cooperation knowledge base to promote knowledge emergence.

This research contributes to the study of knowledge emergence by exploring the influence of a two-tier network structure and scale characteristics on knowledge emergence in RISs. This paper also extends the framework of relevant research by integrating the internal cooperation knowledge base into the analysis of externally embedded cooperation and knowledge emergence.

From the perspective of social networks and knowledge networks, this study aims to empirically examine an updated four-dimension networking capability (NC) construct and test the relationships between it and innovation strategies through knowledge application activities in the context of Chinese manufacturing firms.

Data analysis is conducted on a quantitative survey of 219 manufacturing firms in China with a mixed method of partial least squares structural equation modeling and fuzzy-set qualitative comparative analysis.

The results indicate that knowledge assimilation application (KAA) and knowledge transformation application (KTA) fully mediate the relationships between NC and ambidextrous innovation strategies. KAA has a stronger association with exploitative innovation (EL) than with exploratory innovation (ER), and KTA has a stronger association with ER than with EL.

The authors develop the conceptualization of NC and examine its role in knowledge application activities within a firm. Further, the authors adopt an alternative perspective to highlight the importance of KAA and KTA in mediating the relationships between NC and exploratory and exploitative innovation strategies.

The findings indicate that firms should build NC based on their knowledge requirements and knowledge network structure. Additionally, managers should possess in-depth insights regarding an effective knowledge application toward different types of external knowledge from partners. More specific, firms are more likely to conduct KAA for a high degree of knowledge relatedness, while for a low degree of knowledge relatedness, firms are more likely to conduct KTA.

The authors provide a novel alternative insight into knowledge application activities. From the perspective of knowledge networks, the authors argue that there are two distinct and parallel activities (i.e. KAA and KTA). The authors empirically examined the mediating roles of KAA and KTA in the NC–ambidextrous innovation strategies relationships as well as enriched the literature on their relationships.

Following the contextual approach to intellectual capital, this study analyzed the specific types of external relational capital that foster product/service, process and managerial innovativeness in organic farming as key drivers of sustainable food production.

Survey data from 358 organically certified Spanish farmers were analyzed using structural equation modeling based on partial least squares. A total of three models, one for each type of innovativeness, were developed to analyze the impact of external relational capital. These models took into account four specific types of relational capital: vertical relationships, horizontal relationships, relationships with government institutions and relationships with knowledge-intensive institutions.

Although relational capital and innovativeness are clearly underdeveloped, knowledge generated through and embedded in external relationships plays a substantial role in promoting innovativeness in organic farming. Moreover, depending on the type of innovation to be developed, the type of external relational capital that is relevant differs.

This study's findings indicate that organic farmers prioritize process innovation over product/service and managerial innovation. For the latter categories, building relationships with customers, consumers and government institutions is key. Policymakers should encourage farmer-engaging socialization spaces that emphasize family farms and their knowledge contribution.

Past studies have examined the overall degree of association between external relational capital and innovation, often overlooking the nuances of contextual factors. In contrast, this research delves into the unique contributions of knowledge sourced from various external relationships, focusing specifically on how these relationships influence different types of innovation within the specific context of organic farming.

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.