Affect Innovation Performance Research Articles

How Does Knowledge Coupling Affect Innovation Performance? The Mediation Role of Exploratory and Exploitative Innovation

How Does Knowledge Coupling Affect Innovation Performance? The Mediation Role of Exploratory and Exploitative Innovation

Does global value chain participation and position lead to innovation in an emerging economy? Industry-level evidence from Indian manufacturing industries

This study examines the relationship between global value chain (GVC) embeddedness (participation and position) and innovation performance in India using data from the TiVA database for 14 manufacturing industries over the period 2009–2018. To account for the endogeneity issue arising due to reverse causality, the study employs a two-step system GMM. Empirical results show that GVC participation and position both significantly positively affect innovation performance, measured by the number of patent applications filed. However, participation has an inverted U-shaped impact. We contribute to the existing literature by further splitting GVC participation into forward and backward participations and finding that only forward GVC participation significantly impacts an emerging country’s innovation performance. These findings suggest that policymakers in emerging countries should prioritize improving GVC position through increased R&D expenditures rather than relying solely on excessive GVC participation for enhancing innovation.

The Debt Dilemma: Driver or Brake of Innovation in the EU?

In the current economic environment, the issue of increasing indebtedness is receiving considerable attention. This article delves deeper into a comprehensive analysis of how different forms of debt – from households to corporations to governments – affect innovation performance within the European Union (EU). Since the EU includes 25 different countries, it provides a rich background for this analysis covering the period from 2013 to 2021. By applying regression analysis techniques on a large dataset, this study offers a new insight into the complex relationship between indebtedness and innovation performance. A key part of this analysis is the Global Innovation Index, widely recognized as a metric for evaluating innovation performance among nations. The empirical findings of this study reveal a subtle dynamic: while government debt appears to be a drag on innovation performance, private sector indebtedness, including both households and non-financial institutions, shows a positive effect. This dichotomy underlines the crucial importance of implementing responsible fiscal policies that prioritize the promotion of innovation without jeopardizing financial stability. In addition, the research highlights the importance of fostering collaboration between the public and private sectors, supporting university research, and developing innovation incubators to create a robust innovation environment. In addition, this study not only clarifies the current status, but also identifies areas requiring further research, such as research into other factors influencing the innovation environment. However, it is important to acknowledge the limitations associated with the current understanding of the relationship between debt and innovation. These limitations underscore the need for continued refinement of methodologies and investigation of other factors that may influence this interaction, thereby providing fertile ground for future research efforts. In conclusion, this study contributes to a deeper understanding of how debt dynamics shape innovation outcomes in the EU context.

Configurational risks and innovation performance of complex product systems development: A fsQCA lens

Complex products and systems (CoPS) development demands effective risk management, which is frequently impeded by a lack of clarity regarding the impact of risks on performance. This study aims to investigate how multiple risks jointly affect innovation performance in CoPS projects. Based on the configurational theory and WSR framework, we use fuzzy set qualitative comparative analysis (fsQCA) with data from 97 CoPS projects and examine the combined effects of risks on innovation performance. We identify two types leading to high innovation performance and four patterns causing low innovation performance. The results verify the asymmetrical causality of the influence of risks on innovation performance in CoPS projects. The findings contribute to broadening the relationship studies of risk and innovation performance by adopting an empirical method in the context of CoPS. Moreover, our study can help managers implement flexible risk management activities within CoPS projects, by addressing several equivalent and distinctive paths.

Validating the Causal Relationship between Quantum Leadership and Employee Innovation Performance from the Perspective of Organizational Sustainability

In the quantum era, the rapid development of enterprises cannot be separated from the efforts of employees, and the improvement of employee performance is also closely related to the behavior and attitude of organizational leaders. Quantum leadership, as a new leadership paradigm, differs from traditional Newtonian classical mechanics in that it emphasizes wholeness and interconnectedness, considers new ideas as the key to success, and values complex changes in the organizational environment, thus helping the organization provide sustainable development in the future. In addition, quantum leadership is able to manage in chaotic and potentially uncertain environments, encouraging employees to explore new ideas for solving problems, stimulating enthusiasm and motivation for innovation, and thus improving the level of employee performance. In particular, as the importance of innovation performance has been emphasized, it has been considered as a key variable in driving and promoting sustainable organizational development. Moreover, this study is different from previous studies that validate traditional leadership. We focus on an emerging type of leadership that distinguishes itself from traditional leadership—quantum leadership—which is a leadership model that is currently receiving a lot of attention. In the uncertain future environment, quantum leadership is gradually becoming a key factor for business growth and plays an important role in the survival and development of organizations in the future environment. Based on this research background, this study argues that quantum leadership is closely related to employee innovation performance. This study examines whether quantum leadership improves employee innovation performance and the sequential multiple mediating effects of organizational intelligence and knowledge sharing. Most of the previous studies focused only on the mediating or moderating role of the model. This study expands this area of research by incorporating the moderating role of innovative culture and validating its effects. This finding explores the development of quantum leadership and provides a theoretical foundation for related research. In addition, this study collected data from 345 employees of Chinese SMEs in the context of the fourth industrial revolution. These results suggest that quantum leadership positively affects innovation performance. Organizational intelligence and knowledge sharing have multiple serial mediating effects on quantum leadership and innovation performance. Moreover, the interaction between innovative culture and knowledge sharing improves employees’ innovation performance. Therefore, this study clarifies the causal relationship between quantum leadership and innovation performance through theoretical and validated research models. It lays the foundation for the sustainable development of organizations in the future.

Moderating role of big data usage in intellectual capital and innovation performance: evidence from Turkish banking sector

PurposeIn this study, the moderator effect of the use of big data by Turkish banks on the innovation performance of the intellectual capital components, human capital, structural capital, and relational capital is discussed.Design/methodology/approachIn the research, 618 survey data applied to bank employees and weighted according to population in seven regions were used. The data were analyzed through the structural equation model.FindingsAccording to the empirical results, intellectual capital components and big data usage explain 65% of the variance in innovation performance. It has been determined that the other two components of intellectual capital, except structural capital, have a statistically significant effect on innovation performance. According to the Standardized Regression Weights, one unit change in human capital affects innovation performance by 0.162, and one unit change in relational capital affects innovation performance by 0.244. In addition, a one-unit change in big data usage affects innovation performance by 0.480. It has been understood that the use of big data significantly affects the innovation performance of banks with a rate of 0.480.Research limitations/implicationsAlthough this study is important, it could have been done with senior managers instead of being based on a survey. Instead of a survey, it could have been done with a data set taken from banks' balance sheets and tables. Additionally, the use of big data has been considered as a moderator but can be reconsidered as a mediator or external construct. Moreover, this study was conducted on a sample of participants working in the developing Turkish commercial banking sector. Therefore, the results of the study can be done in different countries and at different development levels.Originality/valueThe study is one of the first studies to examine the moderating effect of intellectual capital by considering its subcomponents in a developing country. In addition, it is thought that the results will contribute to managers, policy makers and researchers who want to increase competition and market share in the sector, as well as filling the gap in the literature.

Fetching the ‘exterior’ ‘in’: Effects of an alliance’s collaborative governance and collaborative accountability on hotel innovation performance

From a firm perspective and based on the innovation life cycle approach, this paper has two aims: to examine how collaborative governance (CG) and collaborative accountability (CA) in hotel chains affect innovation performance (IP, i.e., creation, diffusion and evaluation) and to highlight the connections between IP and firm performance (financial, nonfinancial and environmental). PLS-SEM was used to analyse survey data from a sample of managers of international chain hotels in Egypt (n = 126). The results indicate that CA significantly affects IP and firm performance, while CG does not. Moreover, all IP dimensions are significant antecedents of hotel performance at the financial, nonfinancial and environmental levels. This study is one of the few addressing the effects of CG and CA on the innovation life cycle as a higher order construct in the hospitality arena. Accordingly, the final section provides meaningful theoretical and managerial contributions.

Leveraging customer knowledge obtained through social media: The roles of R&D intensity and absorptive capacity

Previous research has highlighted the benefits of leveraging knowledge generated through internal R&D and external customer knowledge to drive firm innovation. While it is understood that both these knowledge sources may have complementary and/or substituting effects, our understanding of the mechanism through which they affect innovation performance is limited. Therefore, we develop a theory and empirically test a multiple moderation model to investigate the effect of customer knowledge obtained through social media on innovation performance, contingent on the firm’s realized absorptive capacity and R&D intensity. Using PLS-SEM multi-group analysis, we find that firm R&D intensity complements realized absorptive capacity in integrating customer knowledge from social media for innovation performance. Given resource constraints, firms with a low level of R&D intensity should focus on cultivating a strong realized absorptive capacity to maximize the benefits of social media. In contrast, firms with high R&D intensity need not overly prioritize developing realized absorptive capacity.

Understanding the role of social media and dynamic capabilities in innovation performance in AgTech: a serial mediation model

PurposeWe developed and tested a theoretical model that measures the importance of social media and dynamic capabilities with regard to improving innovation performance in startups from the agribusiness sector (AgTech), that is, technology-based companies with scalability potential that operate in the agribusiness sector.Design/methodology/approachThis model analyzed three dynamic capabilities: internal collaboration capacity, absorptive capacity, and organizational agility. To test this theoretical model, we employed structural equation modeling with partial least squares estimation (PLS-SEM) analyzing 237 AgTech in Brazil.FindingsOur results show that the use of social media positively affects innovation performance and contributes to internal collaboration capability (a second-order construct that encompasses commitment, communication, and trust). Internal collaboration is an antecedent of absorptive capacity and organizational agility. These two dynamic capabilities positively impact innovation performance. Our results also indicate that these dynamic capabilities serially mediate the relationship between social media and innovation performance.Practical implicationsWhile some literature describes the dark side of social media, our study sheds light on the importance of these platforms to improve internal collaboration in AgTech, a pivotal capability that is necessary to develop other relevant capabilities.Originality/valueThis study presents results from one of most large AgTech survey found in literature. Furthermore, this study also shows that there are dynamic capabilities essential to develop others relevant dynamic capabilities, indicating that innovation performance involves a sequential integration of capabilities.

Cluster heterogeneity and efficiency of innovation network—Evidence from Shanghai and Taizhou in China

AbstractThere are debates about cluster heterogeneity, network structures, and innovations. The difference in the degree to which firms joined in the internal and external networks of heterogeneous clusters can affect innovation performance. There is still a lack of empirical evidence on how networks or spatial factors can differentially affect innovation efficiency due to cluster heterogeneity. China has endogenous clusters formed by small and medium‐sized firms and numerous clusters mainly based on government planning instrument, such as industrial zones and high‐tech parks. There are controversies over these planned cluster, such as insufficient firm connections and weak innovation effectiveness.Cluster innovation is a complex socio‐economic process that combines endogenous context, exogenous factors and interacts with multi‐spatial relationships. This perspective may explain the differences in which heterogeneous clusters improve efficiency. This paper draws on first‐hand data obtained from 188 questionnaires. The Lingang Equipment Manufacturing Cluster in Shanghai and the Taizhou Machine Tool Manufacturing Cluster in Zhejiang serve as examples of heterogeneous clusters. We combine the cluster's endogenous and exogenous characteristics, network size and strength of network ties, and local and non‐local innovation spaces to discuss the impact on innovation efficiency. Expecting to provide a reference for improving the innovation efficiency of heterogeneous clusters in developing economies. The results suggest that regardless of local or non‐local scales, exogenous clusters have a more pronounced effect of local network size and non‐local tie strength on innovation performance based on demand for proximity to customers and suppliers.

Management innovation, digital capacity and enterprise innovation performance

Purpose 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.Design/methodology/approach By collecting primary data through a questionnaire survey, this paper employs Mplus and SPSS to analyze data.FindingsThis 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.Originality/value 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.

글로벌 혁신 성과에 대한 원인 요인의 필요조건 분석

This study analyzes the kind and degree of necessity logics between five innovation antecedents and innovation performance of the Global Innovation Index (GII) 2022, using the necessary condition analysis (NCA). The NCA results showed that all five causal conditions - institutions, human resources and research, infrastructure, market sophistication, and business sophistication - were necessary for the innovation outcome such as knowledge and technology outputs and the creative outputs. This study is the first attempt to analyze the necessity logic of innovation causal antecedents that affect innovation performance through NCA methodology, which has been widely used in various fields in recent years. This study also confirms that NCA and regression methodologies can be used complementarily, as NCA analysis explores ‘necessary but not sufficient’ causal antecedents for innovation performance, and regression analysis identifies ‘sufficient but not necessary’ causal conditions for innovation performance.

Strategic Dimensions Affecting to Innovation Performance in the Healthcare Sector: A Systematic Literature Analysis

The study systematically analyzes the literature's reflections to determine the dimensions and criteria affecting innovation performance in the healthcare sector and healthcare organizations. In order to achieve this goal, studies published between 2018 and 2022 in the Web of Science and Google Scholar databases are searched with the keywords "innovation" and "healthcare.” Out of 1,103 studies, 52 that met the screening criteria are included in the research analysis. The results show that the dimensions affecting innovation performance in the health sector and health institutions can be grouped as organizational culture, leadership, human resources, organizational structure, knowledge acquisition and knowledge sharing, cooperation, policy and management support, and technology. As a result of the study, explanations of the scope of each dimension are given, and suggestions are presented as to which areas healthcare organizations that want to increase their innovation performance should focus on improving. It is thought that healthcare organizations that want to evaluate their current innovation performance can also measure and assess within the scope of the exact dimensions.

Proximity and regional innovation performance: the mediating role of absorptive capacity

Purpose Proximity is a crucial factor influencing innovation collaboration and performance. Most existing studies have primarily focused on the organizational level and been static in nature. Therefore, a further study on how proximity affects innovation performance is needed. This paper aims to fill this gap by highlighting the organizational, cognitive and geographical proximity in China’s open regional innovation system. Design/methodology/approach This paper analyzes the data from 2010 to 2015 through path analysis. Findings The results reveal that geographical proximity has a direct positive effect on regional innovation performance in China’s regional innovation system. It also shows that organizational proximity exerts a negative impact on absorptive capacity, and through it adversely affects regional innovation performance. In contrast, cognitive proximity is found to have a positive effect on absorptive capacity, enhancing regional innovation performance. Originality/value Based on these findings, this paper contributes to a better understanding of the role of proximity in innovation collaboration and performance. By highlighting the importance of different proximity types, it provides insights for policymakers and practitioners seeking to foster regional innovation.

How does a firm’s digital business strategy affect its innovation performance? An investigation based on knowledge-based dynamic capability

PurposeWhile previous research has demonstrated the positive effects of digital business strategies on operational efficiency, financial performance and value creation, little is known about how such strategies influence innovation performance. To address the gap, this paper aims to investigate the impact of a firm’s digital business strategy on its innovation performance.Design/methodology/approachDrawing on the dynamic capability view, this study examines the mechanism through which a digital business strategy affects innovation performance. Data were collected from 215 firms in China and analyzed using multiple regression and structural equation modeling.FindingsThe empirical analysis reveals that a firm’s digital business strategy has positive impacts on both product and process innovation performance. These impacts are partially mediated by knowledge-based dynamic capability. Additionally, a firm’s digital business strategy interacts positively with its entrepreneurial orientation in facilitating knowledge-based dynamic capability. Moreover, market turbulence enhances the strength of this interaction effect. Therefore, entrepreneurial-oriented firms operating in turbulent markets can benefit more from digital business strategies to enhance their knowledge-based dynamic capabilities and consequently improve their innovation performance.Originality/valueThis study contributes to the understanding of how a firm’s digital business strategy interacts with entrepreneurial orientation in turbulent markets to shape knowledge-based dynamic capability, which in turn enhances the firm’s innovation performance.

Research on the Effect of Organizational Culture of Chinese Youth Entrepreneurial Enterprises on Innovation Performance - Focusing on the mediating effect of organizational learning

In the era of knowledge economy, market competition is constantly changing, and enterprises are developing rapidly in China. With the strong support of the Chinese government for innovation and entrepreneurial activities, the entrepreneurial development situation is optimistic,especially as the main business enterprises to enter the stage of rapid development of youth entrepreneurship.However, while having opportunities, we can also see that the global economic competition environment is complex.Chinese youth entrepreneurs still need to improve their competitiveness and promote the development of innovative technologies. It is necessary for employees to continuously absorb knowledge culture and update their innovative technologies. This paper mainly studies the relationship between organizational culture, organizational learning and innovation performance of young entrepreneurs. 302 questionnaires were collected from Chinese entrepreneurial enterprises, and we uses SPSS and AMOS to analyze organizational culture, organizational learning and innovation performance, and shows the organizational culture affects innovation performance through organizational learning. Finally, in order to make a good organizational culture, enterprises need to continuously update their knowledge,improve the soft power of enterprises, to cope with the changing market environment, enhance the creativity of enterprises and their innovation performance.

Technological and Institutional Space, Entrepreneurial Activities and Innovation in Asian Economies

The East Asian region has shown increased innovation performance over the past 20 years. At the same time, individual economies within the region have shown divergent performance. This article investigated the relationship between institutional potentials, entrepreneurial activities and innovation in 12 Asian economies in order to address the question of why innovation performance in Asian economies has been dynamic as well as divergent. We empirically examine the question in the following two steps. First, we apply a multiple factor analysis to a range of indicators of multiple institutional domains that are relevant to a technological system, and we show that there can be diversity of institutional space underlying a technological architecture. Second, we investigate how and to what extent technological and institutional dimensions—derived from multiple factor analysis (MFA)—affect innovation performance by using an ordered logit model. We find that there is a diversity of technological and institutional systems available for innovation activities, leading to different innovation systems, and that entrepreneurial activity is essential for a technological and institutional potential to be linked with innovative activity. The positive synergy between innovation, technological and institutional potentials and entrepreneurial activities results in different trajectories for Asian economies to lead to increasing innovation performance. This finding implies that there can be multiple ways for emerging economies to be able to develop innovative capabilities. It also contributes to innovation policy, because it allows policymakers in emerging economies to understand how to build a synergy between institutional spaces and entrepreneurs’ activities for innovation performance.

How relative technological size affects innovation performance of cross-border technology M&A enterprises: a configuration perspective

ABSTRACT Cross-border technology mergers and acquisitions (M&As) are critical strategic decisions for emerging multinational enterprises (EMNEs) seeking to gain competitive advantage. While previous research has examined the net effect of relative technological size on the innovation performance of EMNEs, their theoretical hypotheses and empirical results have been inconsistent. These studies fall short in explaining how relative technological size enhances innovation performance under conditions of acquirer knowledge absorptive capacity (comprising knowledge base and R&D investment) and macro-institutional contexts (comprising host country institutional quality and diplomatic relations). Utilising a sample of 44 listed firms in mainland China from 2008 to 2018, and employing the fuzzy-set qualitative comparative analysis (fsQCA) approach, our research reveals the relationship between different configurations of these influencing factors and the innovation performance of EMNEs. Our findings suggest that the mechanism by which relative technological size affects innovation performance is contingent upon the conditions of knowledge absorptive capacity and macro-institutional contexts.

The impact of managerial autonomy and founding-team marketing capabilities on the relationship between ambidexterity and innovation performance

Despite extensive research on the impact of ambidexterity strategy on firm performance, little is known about how team and individual factors affect innovation performance in new-venture businesses. In response to the call for research on the topic, this study examines the relationship between ambidexterity—which includes exploitative and exploratory strategies—and innovation performance. The study finds that the relationship is mediated by founding-team marketing capabilities and moderated by managerial autonomy. This model is empirically tested using 165 new ventures in the UAE. The findings suggest that an exploratory strategy improves the founding team's marketing capabilities, whereas an exploitative strategy worsens these capabilities. Exploitative strategy and the founding team's marketing abilities are negatively affected by managerial autonomy. However, managerial autonomy has no significant impact on either exploratory strategy or the founding team's marketing capabilities. The findings also show that the founding team's marketing skills mediate the relationship between exploratory strategy—but not exploitative strategy—and innovation performance.

How does technology catch-up experience affect innovation performance of latecomer firms?: Evidence from the Korea pharmaceutical industry

ABSTRACT Drawing on the technological learning model of latecomer firms (LCFs) and the literature on catch-up, this paper examines how accumulated internal R&D investment, foreign technology in-licensing experience, and creative imitation experience independently and interactively affect innovation by LCFs. We showed that LCFs’ accumulated internal R&D investment and creative imitation experience have a positive impact on their innovation, respectively. However, LCFs’ creative imitation experience weakens the positive relationship between accumulated internal R&D investment and innovation, implying the paradoxical effect of LCFs’ creative imitation strategy on their innovation. Using the unique panel dataset on drugs developed by Korean pharmaceutical firms between 1999 and 2019, we find evidence that generally supports our hypotheses.