Search results

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.

Small- and medium-sized enterprises (SMEs) are key players in economic activities. Yet little research focuses on their management innovation’s effect on innovation performance, this paper explores the impact of three sub-dimensions of management innovation (new organizational structure, new processes and new practices) on innovation performance (innovation outcome performance and innovation process performance) of SMEs in the manufacturing industry. It elucidates the mediating role of external knowledge search (search depth and search breadth) and identifies the moderating effect of digital capability.

By collecting primary data through a questionnaire survey, this paper employs Mplus and SPSS to analyze data.

This paper finds that management innovation positively affects innovation performance, with a greater impact on innovation outcome performance. Search breadth partially mediates the relationship between new organizational structure and innovation performance. Digital capability positively moderates the positive relationship between management innovation and external knowledge search.

The theoretical contribution of this study is to supplement the research on the consequences of management innovation and to improve the theoretical relationship between management innovation and external knowledge search based on firm behavior theory.

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.

This study explores the influence of the Top Management Team (TMT) social capital on business model innovation in business ecosystems.

This study examines the impact of internal and external TMT social capital on enterprises’ business model innovation, explores the relationship between internal and external TMT social capital, and investigates how business ecosystem health moderates the relationship between external TMT social capital and enterprises’ business model innovation. These hypotheses are proposed and tested using a hierarchical regression analysis with data from 168 Chinese firms.

First, both internal and external TMT social capital exert a significantly positive influence on an enterprise’s business model innovation. Second, internal TMT social capital positively contributes to the development of external TMT social capital, affecting business model innovation. Finally, the moderating effect of business ecosystem health on the relationship between external TMT social capital and business model innovation depends on the dimensions. Specifically, the productivity of the business ecosystem negatively moderates this relationship, whereas the niche creation capability of the business ecosystem has a positive moderating effect.

These findings enrich prior research on business model innovation within the business ecosystem, thoroughly exploring the critical role of TMT social capital. This study reveals the diverse impacts of internal and external TMT social capital on business model innovation and the intricate relationship between these elements. Furthermore, it emphasizes that the success of enterprise’s business model innovation within a business ecosystem depends on the alignment and adaptation to dynamic ecosystem conditions. By presenting these insights, this study provides valuable practical implications for enterprises aiming to cultivate social capital within business ecosystem to facilitate business model innovation.

This study investigates the effect of entrepreneurial orientation and government support on the innovation openness of South Korean manufacturing firms. By compartmentalizing entrepreneurial orientation and government support, this study seeks to elucidate their effects on the breadth and depth of firms' knowledge searches.

The study utilizes Poisson regression analysis with empirical data from 2,353 South Korean manufacturing firms collected from Korean Innovation Survey data.

Analysis reveals nuanced influences of various factors on firms' open innovation activities. Innovativeness positively affects knowledge search breadth and depth, highlighting the role of innovation-oriented processes, while competitive aggressiveness influences depth, thereby underscoring the pursuit of specialized knowledge acquisition. Proactiveness positively affects breadth but negatively affects depth, suggesting the importance of maintaining broad perspectives. Government support scope positively affects both breadth and depth, reflecting the significance of external support in encouraging inclusive knowledge exploration. The importance of government support positively influences depth, emphasizing its vital role in establishing collaborative relationships to enhance in-depth knowledge acquisition.

This study provides novel insights by exploring the nuanced implementation of open innovation in latecomer economies, especially South Korea, which experienced rapid economic development by leveraging innovation. The identification of specific factors influencing knowledge search breadth and depth contributes to the literature on open innovation by providing strategic guidelines for firms and policymakers. This practical implications of this study suggest that firms should align their strategies with entrepreneurial orientation while leveraging pertinent government support.

The purpose of this research is to examine the impact of crowdsourcing-based social connections on the development of innovation competence (IC). The conflicting results in existing studies regarding the influence of crowdsourcing-based social linkage on IC necessitate a thorough investigation into this relationship.

The research uses a sample of 300 senior managers from various industries in India. The data is analyzed using partial least squares (PLS), a component-based approach to structural equation modeling.

The results of the analysis indicate that knowledge transfer effectiveness and absorptive capacity (ABC) play a significant role as mediators in the relationship between social linkages based on crowdsourcing and IC. This suggests that the effectiveness of knowledge transfer and the organization’s ability to absorb and apply new knowledge are crucial factors in leveraging crowdsourcing-based social connections for enhanced innovation capabilities.

The findings of this study hold crucial implications for managerial practices. The research highlights that successful crowdsourcing outcomes necessitate more than mere establishment of external social linkages. Managers must recognize that internal organizational readiness plays an equally critical role. This study offers two key managerial insights: first, exclusive focus on external linkages is inadequate; internal capabilities such as ABC and optimized knowledge transfer processes must be actively nurtured. Second, the concept of “crowdsourcing maturity” is introduced, emphasizing the evolving dynamic capabilities over time. Managers are urged to adopt a balanced approach, aligning external partnerships with internal adaptability, to fully optimize IC.

This research contributes to the existing body of knowledge by shedding light on the mediating variables that influence the conversion of crowdsourcing-based social linkage into improved IC. By considering the role of knowledge transfer effectiveness and ABC, the study provides insights into the mechanisms through which social linkages based on crowdsourcing can impact innovation capabilities. These findings offer valuable implications for organizations seeking to leverage crowdsourcing for innovation purposes and enhance their overall IC.

Past research is mixed on family small and medium-sized enterprises’ (SMEs) use of external advisors and the limited empirical evidence is confined to developed markets. Drawing on the knowledge-based view of the firm, this research focuses on the “familiness” characteristic of SMEs and their use of external accountants as advisors in an emerging marketplace. Using internal resources for basic tasks is proposed to strengthen this relationship from a managerial cognition lens. Focusing also on SME internalization, this research probes the performance ramifications of using external accountants as advisors.

Hierarchical regression is used to test the hypotheses. The mediation hypothesis is tested by bootstrapping the indirect effect. The interaction hypothesis is visualized with simple slope analysis.

The results indicate that the familiness of SMEs is positively associated with the use of external advisors, and thereby, with high performance. SMEs with higher international exposure also use these external advisors to a greater degree. Family SMEs that have a focused use of internal resources for basic tasks benefit more from the use of external accountants for advising tasks.

This research sheds light on how family involvement in management influences firm performance, showing the moderating role of the use of internal advisors for basic tasks and the mediating role of the use of external accountants for advising. We add to the knowledge-based view by describing how family SMEs can utilize internal and external knowledge resources simultaneously.

This study aims to investigate the influence of inventors’ abilities to acquire external knowledge, provide broad and professional knowledge and patenting output (i.e. different types of inventors) on the formation of structural holes.

The authors collected 59,798 patents applied for and granted in the USA by 33 of the largest firms worldwide in the pharmaceutical industry between 1975 and 2014. A random-effects tobit model was used to test the hypotheses.

The inventors’ ability to acquire external knowledge contributes to the formation of structural holes. While inventors’ ability to provide broad knowledge positively affects the formation of structural holes, their ability to provide professional knowledge works otherwise. In addition, key inventors and industrious inventors are more likely to form structural holes than talents.

The results identify individual factors that affect the formation of structural holes and improve the understanding of structural hole theory. This study is unique in that most scholars have studied the consequences of structural hole formation rather than their antecedents. Studies on the origin of structural holes neglect the effect of inventors’ knowledge abilities and patenting output. By addressing this gap, this study contributes to a more comprehensive theoretical understanding of structural holes. The results can guide managers in managing structural holes in accordance with inventors’ knowledge abilities and patenting outputs, which optimize the allocation of network resources.

Despite the increasing studies concerning external knowledge for innovative firms or for innovations, little research demonstrates as what are those capabilities that enable firms to explore and assess high-valuable knowledge. The aim of this study is to examine those capabilities that aid innovative firms to search and identify the potential knowledge for open innovation. This study is an empirical and theoretical examination of knowledge search and identification capabilities of the UK-based biotechnology firms. The literature has been drawn from the research streams into knowledge management, open innovation and dynamic capabilities.

Forty-five semi-structured interviews with senior-level innovation and R&D managers were completed, and thematic analysis using NVivo 12 was performed.

Evidence from 45 interviews with senior-level innovation and R&D managers in the UK-based biotechnology firms and thematic analysis was used to develop a process framework capturing the key capabilities. By identifying the role and contribution of each of the capabilities in knowledge identification in the practices of open innovation, this study contributes to open innovation and knowledge management literature.

Managerial implications suggest knowledge-oriented leads greatly influence the development of identification capabilities. Hence, firms with knowledge-oriented leads are better crafted approaches to achieve competitive advantages in the practices of open innovation.

This study offers a new theoretical perspective and empirical evidence to view knowledge identification capabilities as the dynamic capabilities. This study offers a process framework of identification capabilities.

This study aims to investigate the relationship between strategy intent (product-service innovation intention) and outcome (product-service innovation outcome), and the role that external sources of innovation play in influencing this relationship.

Using data obtained from the community innovation survey, we apply a logit regression to a sample of 1,419 Portuguese firms. By examining the moderating effect of open innovation breadth, we assess how the relationship between differentiation intent and outcome is contingent upon the involvement of external stakeholders.

Our findings reveal that the relationship between differentiation intent and outcome is contingent upon the moderating effect of open innovation breadth. Our analysis suggests that the negative influence of different sources of innovation can be addressed by adopting a paradox lens.

This research provides valuable insights for managers. By simultaneously pursuing a differentiation strategy and engaging in collaboration with external sources, firms may compromise their ability to effectively differentiate their offer. Managers should consider the potential tensions arising from internal and external stakeholder relationships to optimize their innovation strategies.

This study contributes to the existing literature by shedding light on the role of external innovation sources in influencing the relationship between differentiation intent and outcome and the importance that information systems may have in this relationship. By exploring the moderating effect of open innovation breadth, we provide a nuanced understanding of how firms can navigate organizational tensions and leverage innovation for competitive advantage.