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The purpose of this paper is to examine how the knowledge breadth and depth and the balance of the two affect various dimensions of the innovation performance under the consideration of the organizational slack as a moderating factor of the analysis framework.

This study constructs and verifies a research model of knowledge breadth and depth to the explorative and exploitative innovation performance, using the exploratory factor analysis and the hierarchical regression analysis based on a survey sample of 320 Chinese companies.

The knowledge base is a critical foundation for improving innovation performance of an enterprise. A more detailed analysis reveals that first knowledge breadth provides more benefits for explorative innovation performance while the knowledge depth is more advantageous to exploitative innovation performance of an organization. Second, organizational slack can positively facilitate the improvement of the knowledge depth for the explorative innovation performance while an optimal balance of the knowledge breadth and depth can significantly enhance exploitative innovation performance.

This paper contributes to previous research work by providing both specific comparative studies and a clear explanation of the impacts of different dimensions of the knowledge base, i.e., knowledge breadth and knowledge depth, on innovation performance measures of both exploration and exploitation through a comprehensive empirical study. In particular, organizational slack is found to play a much more complicated moderation role between the knowledge base and the two different dimensions of innovation performance than has been demonstrated in previous research.

Drawing upon the resource dependence theory, the purpose of this paper is to examine how the board capital diversity influences the explorative innovation of firms, attempting to resolve the inconsistent empirical findings of the effect of outside directors on firm’s R & D strategy.

Using a sample of Korean manufacturing firms which consider R & D capability to be one of their core competencies, the study uses negative binomial model to test the influence of board capital diversity on explorative innovation.

Results support the value of moderate level of board diversity hypothesis by demonstrating that board capital diversity shows an inverted U-shaped relationship with explorative innovation. The results also suggest that CEO ownership positively moderates the relationship between board capital diversity and firms’ innovative performance.

Mainstream research has focussed on the directors’ monitoring role based on agency theory, overlooking the more positive resource provision role. Taking on the concepts of board capital and exploration, the study introduces the notion that outside directors should be selected with a view as vehicles for bringing in valuable expertise and social linkages for the firm’s explorative innovation.

New ventures search for external knowledge to break through the prevailing knowledge and resource constraints. The influence of search mechanisms can be assessed against the backdrop of internal factors such as the venture’s knowledge integration (KI) capability. The purpose of this paper is to study the effects of knowledge search depth (KSD) and knowledge search breadth (KSB) on innovation outcomes and asks to what extent such effects are mediated by levels of KI.

The authors distinguish between the current depth and width of the firm’s knowledge base as to detect their possible moderating effects. The authors test the model using data collected from 167 Chinese start-ups.

The results show that KSB has a positive effect on KI and innovation performance, but KSD has an inverted U-shaped effect on KI and innovation performance. KI plays a mediating role between external knowledge search and innovation performance, while the breadth of the venture’s knowledge base positively moderates the relationship between explorative KI and innovation performance, and the depth of knowledge base positively moderates the relationship between exploitive KI and innovation performance.

These results differ from earlier research focusing on mature enterprises.

Despite extensive published research into the relationship between open innovation (OI) activities and performance, the nature and direction of the relationship remain inconclusive. The purpose of this paper is to investigate the relationship as to how firms’ inbound and outbound OI activities, as well as their interaction influence incremental and radical innovation performance. The authors also consider the potentially mediating roles of knowledge learning and organizational capabilities in such a relationship.

To investigate this relationship, data were collected from a cross-industry survey of 304 leading Taiwanese-based firms. Three-stage least square analysis was employed to test the model.

Analyses reveal that knowledge learning and organizational capabilities mediate the OI activities-innovation performance relationship. In addition, a firm focussing on inbound activities enhances its radical innovation performance, but hinders its incremental innovation performance, while focussing on outbound activities produces the opposite effects. Among the findings, it is worth emphasizing that the effect of the interaction between inbound and outbound activities on innovation performance can be counter-productive.

The findings demonstrate that existing studies only partially explain the effects of OI activities on innovation performance. Understanding how OI activities influence innovation performance will facilitate more informed decision making, leading to more effective use of OI activities.

The results suggest that managers need to consider knowledge learning and organizational capabilities in order to fully capture the potential effects of OI activities. Managers also need to be aware of the limitations of OI activities.

The theoretical model presented here offers a timely contribution to the theory base underpinning the development of OI activities for innovation performance.

Organizational incentives and structures play a crucial role in realizing explorative and exploitative innovations in firms. Existing studies have neglected the role of trade-off mechanisms between the two on innovation ambidexterity. This study aims to investigate these trade-off mechanisms and their position on innovation ambidexterity.

Given the limited theoretical understanding, the authors conducted a case study with a sample of two Chinese firms with abundant interview and secondary data.

The results show that firms can develop innovation ambidexterity at two levels, namely, the time and space levels, using incentive synergy as well as organizational structures. Furthermore, the authors explain the role of the trade-off between incentive synergy and organizational structure in promoting a balance between explorative and exploitative innovation.

The authors propose trade-off mechanisms between incentive synergy and organizational structure and explore how trade-off mechanisms can play a role in promoting a balance of explorative and exploitative innovation at both time and space levels.

The purpose of this paper is to explore the effecting mechanism of relational embeddedness on technological innovation performance in the context of China.

By probing into the related theories and five exploratory case studies of Chinese manufacturing firms, this paper establishes a conceptual model about the effects of relational embeddedness on technological innovation performance and proposes nine hypotheses. The authors then investigate 228 Chinese manufacturing firms by questionnaires, and testify the hypotheses and conceptual model by structural equation modeling.

Chinese firm's relational embeddedness in the international manufacturing network has a positive effect on its technological innovation performance through explorative learning. Specifically, trust, information sharing and joint problem solving are beneficial to new knowledge acquisition and application, and then to the improvement of technological innovation performance.

This paper mainly focuses on bilateral relations among firms, regardless of the influence of network structure. Future research can extend to multilateral relations as well.

The paper builds up linkages among theories of network resources, organizational learning and technological innovation to open the black‐box of how relational embeddedness acts on technological innovation. It is a supplement to the existing research on inter‐firm network theories in developing countries.

Following the rapid expansion of data volume, velocity and variety, techniques and technologies, big data analytics have achieved substantial development and a surge of companies make investments in big data. Academics and practitioners have been considering the mechanism through which big data analytics capabilities can transform into their improved organizational performance. This paper aims to examine how big data analytics capabilities influence organizational performance through the mediating role of dual innovations.

Drawing on the resource-based view and recent literature on big data analytics, this paper aims to examine the direct effects of big data analytics capabilities (BDAC) on organizational performance, as well as the mediating role of dual innovations on the relationship between (BDAC) and organizational performance. The study extends existing research by making a distinction of BDACs' effect on their outcomes and proposing that BDACs help organizations to generate insights that can help strengthen their dual innovations, which in turn have a positive impact on organizational performance. To test our proposed research model, this study conducts empirical analysis based on questionnaire-base survey data collected from 309 respondents working in Chinese manufacturing firms.

The results support the proposed hypotheses regarding the direct and indirect effect that BDACs have on organizational performance. Specifically, this paper finds that dual innovations positively mediate BDACs' effect on organizational performance.

The conclusions on the relationship between big data analytics capabilities and organizational performance in previous research are controversial due to lack of theoretical foundation and empirical testing. This study resolves the issue by provides empirical analysis, which makes the research conclusions more scientific and credible. In addition, previous literature mainly focused on BDACs' direct impact on organizational performance without making a distinction of BDAC's three dimensions. This study contributes to the literature by thoroughly introducing the notions of BDAC's three core constituents and fully analyzing their relationships with organizational performance. What's more, empirical research on the mechanism of big data analytics' influence on organizational performance is still at a rudimentary stage. The authors address this critical gap by exploring the mediation of dual innovations in the relationship through survey-based research. The research conclusions of this paper provide new perspective for understanding the impact of big data analytics capabilities on organizational performance, and enrich the theoretical research connotation of big data analysis capabilities and dual innovation behavior.

This study aims to analyze the moderating role of a firm’s alliance learning capability. The aim is to investigate the comparative performance of developing exploitation (or exploration) activities in collaboration with others vs adopting a go-it-alone posture.

The authors compare high levels of co-exploitation (or co-exploration) that represent the collaboration stance vs low levels of co-exploitation (or co-exploration) that characterize the go-it-alone posture. Data were collected using a sample of 262 manufacturing firms that developed exploitation-based innovations and 239 exploration-based innovations. Regression models were used to test the hypotheses.

Empirical results suggest that the best performance is reached by firms that exploit or explore collaborating with others at high levels of alliance learning capability. In contrast, firms perform better by going alone in exploitation activities at low levels of alliance learning capability.

Firms may complement internal efforts of exploitation or exploration by co-developing knowledge with other organizations for higher performance. However, collaborating with others is not free of drawbacks, and, under certain circumstances, the go-it-alone strategy is more convenient.

This paper provides evidence of the role of a firm’s alliance learning capability in determining the differential performance of carrying on exploitation or exploration activities in collaboration with others vs adopting a go-it-alone stance. Thus, it offers an alternative perspective in the literature on organizational learning and innovation management, in contrast with the exploitation and exploration balanced perspective of ambidexterity, by explaining how alliance learning capability fosters firm performance combining exploitation or exploration at organizational and inter-organizational levels.

Despite the importance, no study exists which investigates the role of human resource (HR) in supply chain (SC) learning. This study aims to investigate the effects of high-performance human resource management (HRM) practices on different types of the SC learning (i.e. supplier, customer and internal learning) and innovation performance.

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 empowerment improves all three dimensions of SC learning, whereas training improves supplier and internal learning and teamwork is not related to any dimension of SC learning. These HRM practices also interactively influence SC learning dimensions. Moreover, customer and internal learning are directly related to innovation performance, while supplier leaning has a complementary effect with internal leaning but a substitutional effect with customer learning to innovation performance.

This study only selects training, teamwork and empowerment to manifest high-performance HRM practices. The impacts of high-performance HRM practices on different dimensions of SC learning and innovation performance are tested empirically with cross sectional-data collected only from manufacturing firms in China.

The findings suggest that managers can promote SC learning through the empowerment and training of their employees. Moreover, managers should place more emphasis on customer and internal learning to improve innovation performance.

Combining HRM and supply chain management (SCM) fields, this study offers a new framework to understand linkages between high-performance HRM practices, SC learning and innovation performance by using an empirical method.

The purpose of this paper is to investigate the relationship among CEO transformational leadership, innovation climate and organizational innovation through exploration and exploitation.

A questionnaire, designed as a self-reported survey, was distributed to individuals working in teams in US-based corporations, with a collected sample size of 215 organizations.

Results show that CEO transformational leadership has a direct positive effect on organizational innovation and an indirect effect through innovation climate. CEO leadership is more impactful for exploitation, compared to innovation climate, which has more influence on exploration.

This study is the first to integrate CEO transformational leadership and innovation climate with exploration and exploitation outcomes. A research limitation is that there is a higher percentage of female than male respondents and a lower of percentage of female CEOs in this study. A further limitation is self-report which can lead to common method bias.

The close connection among CEO transformational leadership, innovation climate and organizational innovation suggests that evaluating, supporting and training CEO transformational leadership becomes a vital activity for boards, investors and managers. If management wants to increase exploration, they should pay particular attention to creating a climate that is supportive of innovation. Organizations should recruit and train CEOs for transformational leadership and regularly assess climate to ensure innovation results.

The main contribution of this study is highlighting the role of innovation climate as a mediator between CEO transformational leadership and the outcome of organizational innovation which is measured by exploration and exploitation activities.