Search results

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 paper examines the extent to which different sources of ideas for innovation are associated with novelty of innovation outcomes. We measure the novelty of product innovation using three well-established categories, ranging from highly novel new-to-world products to new-to-firm products that are essentially imitative, with products that are new-to-country (but not the world) being an intermediary category. In turn we investigate how knowledge derived from different external and internal (within-firm) sources of ideas can help firms increase innovation with different degrees of novelty. Our empirical analyses are conducted on a large sample of manufacturing firms from the South American emerging market of Colombia and show that many of the same sources of knowledge – such as scientific sources, production departments and managers – are associated with higher innovation in all three categories of novelty. However, some sources – notably external clients and internal interdisciplinary groups – are more significantly associated with more novel innovation than imitation. The implications of these findings for the literatures on innovation and imitation, and innovation by emerging market firms are discussed.

The purpose of this paper is to develop and propose an integrated model of marketing knowledge from a tacit knowledge management perspective. This paper further aims at developing a linkage between explicit knowledge perspective (internal and external marketing) and tacit knowledge orientation of an organization, leading to improved business success.

This paper develops a conceptual model showing the integration of the internal, tacit and explicit knowledge perspectives that results in improved business success. The proposed model and associated propositions are drawn from the synthesis of relevant knowledge and marketing literature.

Five major associated propositions are offered in the paper, which inform both scholars and practitioners about what constitutes a holistic market orientation and how organizations can achieve business success by adopting both an internal and external orientation to tacit and explicit knowledge management.

The model makes an original contribution to theoretical and organizational marketing management knowledge. It does this by extending the conceptual and operational boundaries of existing models of internal and external marketing, aimed at helping organizations achieve competitive advantage and business success.

After identifying two kinds of internal knowledge transfer strategies, the purpose of this paper is to examine their effectiveness and whether they induce knowledge spillovers among firms.

This study collected data in China and 219 questionnaires were achieved. Then, structure equation model by LISREL was used for hypotheses testing.

The empirical results suggest that both codification and rich‐media strategies have positive effects on internal knowledge transfer. Moreover, codification strategy has a negative effect on knowledge spillovers while rich‐media strategy does not influence knowledge spillovers significantly. Thus, codification and rich‐media strategies are not double‐edged swords.

This study provides firms with two strategies, codification and rich‐media, to promote internal knowledge transfer. Moreover, these strategies do not accelerate knowledge spillovers, and codification strategy even reduces knowledge spillovers. Firms can use these strategies to construct and sustain competitive advantages.

While many knowledge creation, storage and protection strategies are studied, little is known about internal knowledge transfer strategies. This study suggests two internal knowledge transfer strategies and confirms their effectiveness. Moreover, because the relationship between internal knowledge transfer strategies and knowledge spillovers has been puzzling for a long time, this study clarifies the relationship and finds that these strategies do not accelerate knowledge spillovers and some even restrain knowledge spillovers.

Collaborative research and development have remained a pertinent mechanism for conducting technological innovations. With the lens of knowledge-based view (KBV), this study aims to examine the role of changes in knowledge couplings and network cohesion to elevate innovation performance.

Data analysis has been performed on 53,459 patents through regression analysis with random effects. These independent and joint patents are extracted from Derwent Innovation Database.

Findings explicate that change in external existing or existing and new knowledge couplings have inverted U-shaped effects on a firm’s innovation performance. Changes in internal existing or existing and new knowledge couplings have direct positive effects on firm’s innovation performance. The moderation effect of network cohesion flattens the inverted U-shaped effect of external new and existing knowledge coupling, whereas it has no significant effect on external existing knowledge coupling. Network cohesion further elevates the effects of internal knowledge couplings – existing or existing and new.

This study theoretically contributes to KBV and innovation management literature by highlighting the scope of changes in internal and external knowledge couplings and subsequent output. Network cohesion flattens the curviness of changes in external new and existing knowledge couplings, which is a contribution to strategic management literature.

Organizations need to carefully manage changes in knowledge couplings and ensure their benefits (obtain new knowledge domain or new combination) outweigh liabilities (damages to organizational routines or increase in collaboration costs). Managers must consider four kinds of knowledge coupling changes along with developing network cohesion as an R&D strategy.

This study is one of its types to flatten the curve through network cohesion. This study divided the changes in knowledge coupling into four types and two dimensions; external existing and new and existing knowledge couplings and internal existing and new and existing knowledge couplings.

The purpose of this study is to analyse the effect of organisational agility on environmental knowledge as an instrument for the successful development of eco-innovation in products.

This study used a cross-sectional design to collect data on the study variables from a sample of 184 Spanish manufacturing organisations. Structural equations with partial least squares were used to test the hypotheses.

Organisational agility is significantly linked to internal and external environmental knowledge. The results of this study highlight the effect of external knowledge on the success of eco-innovation. Internal environmental knowledge positively moderates the effect of external knowledge on the success of green products.

Based on the dynamic capabilities approach, a theoretical model has been proposed in which organisational agility is configured as an effective capacity for the development of environmental knowledge. The results confirm this relationship and indicate that, although internal environmental knowledge is not decisive in developing new green products, it does enhance the effect of external knowledge on the success of eco-innovation.

Innovative companies must implement organisational agility practices that promote environmental knowledge for the success of new green products. They should also promote both external and internal knowledge.

This study addresses the little explored area of the relationship between organisational agility and the successful development of new green products. The inherent particularities of eco-innovation prompt the need for further studies on the creation of specific knowledge for its promotion. This study concludes that adopting agile practices enables key environmental knowledge for this type of innovation to be created. Additionally, it explores the tensions arising from the dichotomy between internal and external knowledge, with scarce resources allocated to the most effective source. Although both types of knowledge seem to be equally relevant, external knowledge plays a more significant role in the case of eco-innovation. A final contribution of this study is the finding that internal knowledge can further enhance the effect of external knowledge on the development of successful green products.

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.

Based on the sample of the European information and communications technology (ICT) companies, this paper aims to identify which strategy of knowledge generation is most beneficial for companies: internal knowledge development or absorption of knowledge external to the company through corporate acquisition or merger.

In this study, a longitudinal analysis of European ICT companies was conducted, contrasting internal knowledge creation, in the form of patent accumulation and research and development (R&D) efforts, with external learning through merger-and-acquisition (M&A) activities to uncover the best strategies for performance maximization.

Results suggest that the two knowledge generation strategies are not complementary and demonstrate only marginal impact on organizational performance. However, intriguing patterns in combining the two became apparent. It was found that patent accumulation improves learning achieved through M&A activities, while also acting as a protection against corporate takeover. At the same time, the internal knowledge generation strategy was found to have a negative impact on financial performance, with external knowledge generation demonstrating somewhat mixed results.

This paper provides practical insights into the patterns of internal and external knowledge generation activities. The two strategies were found not to be complementary, implying that companies must carefully choose their preferences.

This large-scale study tackles the interplay between internal and external knowledge generation strategies, which are mostly studied separately. It reveals new patterns in corporate acquisition and divestment strategies as sources of new knowledge. It also ties the knowledge paradigm to organizational performance.

The combination of different knowledge sources has been considered conducive for innovation performance. While the literature has advanced regarding the combination of knowledge inputs as in internal and external research and development (R&D), the evolvement of knowledge blend from customers and competitors has also received substantial attention. The purpose of this paper is to delineate the sources of information from the customers into private and public and examine their direct effect on firm-level innovation. While the extant literature is mixed regarding this, no clear-cut results have emerged yet on the effect of knowledge combination from the private and public customers with internal R&D and human capital on innovation activities. This study, however, shed more lights on the inconclusiveness of the effect of knowledge diversity on firm-level innovation.

Using the microdata from the German Community Innovation Survey 2013, the authors employ a binary instrumental variable treatment model with Heckman selection, a suitable strategy to estimate binary variables to cope with a possible endogeneity issue.

The paper demonstrates that knowledge from customers in the private and public sector, and competitors are positively and significantly associated with innovation. The authors find evidence of a positive and significant effect of the combination of firm internal knowledge competencies with information from the public sector. In contrary, the blend of knowledge competencies with information from customers in the private sector and information from the competitors results in decline to innovation. The results also show that the blend of internal R&D with knowledge source from the customers in the public sector appears to have a stronger influence in the manufacturing sector than services. The results offer strong evidence of the positive link between knowledge diversity and firm-level innovation performance.

The results have significant managerial implications on the role of the blend of different sources of information in supporting a compelling internal knowledge development to optimise innovation performance.

This study is foremost to focus on knowledge sources from the customers in the public and private sector and its relationship with R&D and human capital in supporting a successful introduction of innovation.

Despite the significance, no study examines the relationship between supply chain (SC) learning components and focal firm performance. This study aims to investigate different types of SC learning (supplier, customer and internal learning) and their influence on the focal firm’s operational and financial performance.

Grounded in knowledge-based view and absorptive capacity theory, this study applies structural equation modeling to test the conceptual model based on data collected from 213 manufacturing firms in China.

The findings indicate that supplier and customer learning improve internal learning. Customer and internal learning have direct influence on operational performance, whereas internal learning mediates the relationship between supplier learning and operational performance. Moreover, all three dimensions of SC learning do not affect financial performance directly but operational performance plays the mediating role in their relationship.

This study only investigates SC learning outcomes without exploring its antecedents. In addition, SC learning and their impacts on firm performance are tested empirically with cross-sectional data collected only from manufacturing firms in China.

The findings furnish managers to seek for competitive advantages through different types of SC learning.

This study offers new insights concerning the performance implications of SC learning. It divides SC learning into dimensions and shows the distinctive impacts of these dimensions on focal firm’s performance using an empirical method.