Open Collaborative Innovation Research Articles

Harnessing Collaborative Innovation: How Knowledge Sharing Drives Performance in Philippine Hardware MSMEs

The study examines the mediating effect of knowledge sharing on the relationship between collaborative innovation capabilities and innovation performance within hardware companies in the Philippines. It seeks to fill the gap in local research by exploring how collaborative efforts and knowledge-sharing practices influence the innovation outcomes of micro, small, and medium enterprises (MSMEs) in the hardware sector. A quantitative approach was employed, surveying operational managers from 80 hardware companies in Metro Manila. The study used Partial Least Squares Structural Equation Modeling (PLS-SEM) to assess the relationships between collaborative innovation capabilities, knowledge sharing, and innovation performance. The study found that collaborative innovation capabilities have a significant positive effect on innovation performance. Additionally, knowledge sharing acts as an important mediator, enhancing the effectiveness of collaborative efforts in driving innovation outcomes. This study provides valuable insights into the hardware industry in the Philippines, where there is a lack of local research on the dynamics of collaboration, knowledge sharing, and innovation. It offers practical implications for hardware MSMEs, highlighting the importance of fostering collaboration and implementing effective knowledge-sharing systems to drive innovation and maintain competitiveness in a fast-paced market.

Cooperative partners’ heterogeneity and supplier empowerment: impact on the performance of digital technology collaborative innovation in supply chain

ABSTRACT The rapid advancement of digital technology has stimulated collaboration between core companies and suppliers to pursue innovation activities. However, a theoretical framework is necessary to explain the impact of cooperative partners’ heterogeneity on the digital technology collaborative innovation performance in the supply chain. This study employed a multi-case analysis to investigate the collaborative innovation process of four Chinese case companies with their suppliers. Based on interviews and analyses, this study found that cooperative partners’ heterogeneity influences the digital technology collaborative innovation performance through supplier empowerment. Aligned strategic objectives, similar digital technology maturity, and complementary digital resources help achieve supplier empowerment and thus promote the performance improvement of digital technology collaborative innovation, such as digital technology R&D, resource access, and process improvement.

Research on the Impact of Inter-Industry Innovation Networks on Collaborative Innovation Performance: A Case Study of Strategic Emerging Industries

Research on the Impact of Inter-Industry Innovation Networks on Collaborative Innovation Performance: A Case Study of Strategic Emerging Industries

Collaborating for innovation: The inhibiting role of constraints

There is a growing recognition that firms increase their collaboration breadth by opening their boundaries to more innovation partners, sourcing and integrating complementary knowledge, skills, and resources and, in turn, improving their innovation performance. However, not all firms benefit equally from collaboration breadth. We argue that the literature has not considered important contingency factors that can mitigate such benefits. This paper enhances understanding of the relationship between collaboration breadth and innovation performance by contending, and empirically confirming, that the magnitude and direction of this association depend on the type of constraints the firm faces. Drawing on organizational learning theory, it is argued that firms encountering financial, knowledge, and institutional innovation constraints will compromise the effects of their openness. The empirical findings suggest that innovative firms face challenges balancing trade-offs between a broad collaboration network and high financial, knowledge, and institutional constraints.

Performance Evaluation of School Enterprise Collaborative Innovation and Practice of Innovation and Entrepreneurship Education Based on the Improved AHP Fuzzy Comprehensive Evaluation Method

Under the influence of the COVID-19, great changes have taken place in China’s economic structure and market subjects and college students are facing difficulties in employment. By carrying out collaborative innovation between schools and enterprises, cultivating high-quality talents to meet social needs has become an important way to solve difficulties. Based on the input-process-output principle, a performance evaluation index system for collaborative innovation is constructed, which includes 3 primary indicators and 22 secondary indicators. The weights of each indicator are determined using improved AHP. A mathematical model for evaluating the performance of school enterprise collaborative innovation is established using the fuzzy comprehensive evaluation method. The evaluation value of the innovation and entrepreneurship education case project is 0.82, indicating that the overall operation is in good condition. The cooperation between schools and enterprises has created a favorable atmosphere and accumulated rich experience for carrying out innovation and entrepreneurship education. Good results have been achieved in talent cultivation and scientific and technological output, but there are also problems such as low conversion rates of scientific and technological achievements. Based on the evaluation results, the article proposes suggestions to improve the performance of collaborative innovation between schools and enterprises. The research results provide theoretical reference for the performance evaluation of school enterprise collaborative innovation and the practice of innovation and entrepreneurship education.

Improving collaborative innovation performance in megaprojects: a system dynamic approach

PurposeThe development and evolution of stakeholder collaborative innovation in megaprojects is impacted by various influencing factors. The effect of influencing factors on collaborative innovation performance (CIP) in megaprojects is not a simplistic linear relationship but an iterative and non-linear relationship that requires a dynamic perspective to analyze. Therefore, this paper adopts the system dynamic (SD) approach to investigate the dynamic and interactive relationships between the CIP and the influencing factors.Design/methodology/approachThe study first develops a research framework with the system boundary of “CIP system – organizational collaboration subsystem – knowledge collaboration subsystem – strategic collaboration subsystem”. Then, the causal relationship model, the stock-flow model, and the mathematical equations were determined based on the literature review and the expert interviews. Finally, five performance improvement scenarios were designed according to the practice context of CIP in megaprojects, and simulations were performed using the Vensim PLE software to investigate the CIP from a dynamic perspective.FindingsThe findings reveal that the effect of different influencing factors on CIP grows non-linearly, with the cumulative effect becoming more pronounced as time advances. The incentive mechanism has the most significant effect, and the combined effect of multiple influencing factors has a highly significant facilitating effect on improving CIP. Strategic collaboration, organizational collaboration and knowledge collaboration are mutually conditional and reinforcing with each other, which ultimately promotes the improvement of CIP.Originality/valueThis study uncovers the inherent pattern and the interactive dynamic mechanism of factors for improving CIP in the context of megaprojects. It enriches the theoretical research in the area of collaborative innovation in megaprojects and provides practical management strategies for improving CIP.

The Interrelationships between Resource Orchestration, Collaborative Innovation, and Innovation Performance

The Interrelationships between Resource Orchestration, Collaborative Innovation, and Innovation Performance

Digital transformation for supply chain collaborative innovation and market performance

PurposeManufacturers increasingly resort to digital transformation to shape their competitiveness in the digital economy era, while supply chain (SC) collaborative innovation helps them cope with market uncertainties. However, whether and how digital transformation can facilitate SC collaborative innovation remain unclear. To address this gap, we aims to investigate the effects of digital transformation (strategy and capability) on SC collaborative (process and product) innovation and market performance.Design/methodology/approachWe use partial least squares-structural equation modelling (PLS-SEM) with a sample of 210 Chinese manufacturers to investigate the effects of digital transformation (strategy and capability) on SC collaborative (process and product) innovation and market performance.FindingsThe results show that digital strategy and capability positively impact SC collaborative process and product innovation, which enhances market performance. In addition, SC collaborative innovation mediates the relationship between digital transformation and market performance.Originality/valueThis study contributes to the literature by identifying how digital transformation drives SC collaborative innovation towards improving market performance and providing practical guidance for enterprises in promoting digital transformation and SC collaborative innovation.

Collaborative innovation, strategic agility, & absorptive capacity adoption in SMEs: the moderating effects of customer knowledge management capability

PurposeThe purpose of this study is to identify the relationship between collaborative innovation and the financial performance of information technology (IT) firms through the mediating role of strategic agility and absorptive capacity. Customer knowledge management capability (CKMC) is also explored as a potential moderator.Design/methodology/approachData were collected from 300 respondents working in different small to medium IT enterprises operating in different cities around Portugal. The simple random sampling method was used for data collection, and Smart partial least squares-structural equation modeling (Smart PLS-SEM version 3.2.8) was used to test the hypotheses.FindingsThe findings demonstrate that collaborative innovation contributes significantly to the financial performance of IT firms in Portugal. The results also indicate that absorptive capacity and strategic agility both positively and significantly affect the relationship between collaborative innovation and firms’ financial performance. However, while the moderating role of CKMC has a positive and significant effect on the relation between collaborative innovation and strategic agility, CKMC insignificantly moderates the relation between collaborative innovation and absorptive capacity.Originality/valueFew studies have explicitly connected collaborative innovation with firms’ financial performance; this study attempts to fill that gap. Moreover, this research investigates the mediating role of strategic agility and absorptive capacity in the relationship between collaborative innovation and financial performance. Finally, by discussing the moderating effect of CKMC, which leads to enhanced financial performance, this study proposes that when complex and unpredictable situations occur, managers should focus on customer-oriented strategies and innovation at the same time to outpace their competitors.

Open Design to Homesickness Elements in Tuping Village for Rural Revitalization

This paper discusses about problems facing in the rural revitalization and explore the social value of green design in promoting rural revitalization, as well as the principles and methods of rural revitalization design. From the three aspects of rural brand image design, cultural and creative product design, and rural tourism brand design based on the homesickness resources of Tuping Village. We analyzed the empirical case of Tuping Village homesickness design and social innovation project hosted by the author. In conclusion, design can play an important driving role, designers should carry out green design based on homesickness culture, maintain open collaborative innovation thinking, integrate all forces and resources, and realize the cultural inheritance and industrial revitalization of rural areas

Managing Technological Innovation: Dynamic Capabilities, Collaborative Innovation, and Born-Digital SMEs' Performance

In contrast to the digital transformation of the incumbents, born-digital small- and medium-sized enterprises (SMEs) embrace digital logic in the organization's design, processes, and governance from the very start. So far, scholars have focused on the digital transformation of the incumbents; thus, little is known about how dynamic capabilities, collaborative innovation, and firm performance interact in the context of born-digital SMEs—a new generation of digital firms with no legacy of the incumbent firm. Therefore, the study's research question is how dynamic capabilities and collaborative innovation affect the performance of born-digital SMEs. We aim to investigate the impact of the dynamic capabilities of born-digital SMEs on their performance when collaborative innovations mediate it. The empirical research was based on 268 complete viable responses from born-digital SMEs in the U.S., Sweden, and Lithuania. The study results show that dynamic capabilities' effect on born-digital SMEs' performance is more potent when mediated by collaborative innovations. Furthermore, the study highlights that although the impact of dynamic capabilities on partnership networks and relational collaboration is significant, only relational collaboration significantly affects the performance of born-digital SMEs. Our study contributes to the management of technology literature by advancing knowledge on dynamic capabilities and collaborative innovation of born-digital SMEs. In addition, we are exposing the limited role of partnership networks in born-digital SMEs' superior performance and spotlighting the significance of relational collaboration—cocreating innovative products and services and sharing the cocreated value among the relevant partners.

Collaborative Innovation Performance Within Platform-Based Innovation Ecosystems: Identifying Relational Strategies With fsQCA

Collaborative Innovation Performance Within Platform-Based Innovation Ecosystems: Identifying Relational Strategies With fsQCA

The Paths to Enhance the Collaborative Innovation Performance of Industry-University-Research Technological Chains: A Perspective from the Digital Economy

The Paths to Enhance the Collaborative Innovation Performance of Industry-University-Research Technological Chains: A Perspective from the Digital Economy

The role of trust in open innovation collaboration: the experience of polish medium-high-tech SMEs

This paper contributes to an emerging debate on open innovation ecosystems and knowledge sharing in the innovation environment, by sharing insights on the role of trust in open innovation collaboration. Systematization of the state of art literature on the innovation networks show that trust is crucial for improving competition among Polish companies, yet its seems to have not an important place in the innovation environment. The main purpose of the research is to determine the role of personal traits, including trust, in the initiation of the potential open innovation collaboration. The study applies the qualitative survey method and shares up-to-date empirical evidence from Polish high- and high-mid-tech small and medium-sized enterprises (SMEs). The study was conducted using the computer-assisted telephone interviewing (CATI) method, in collaboration with the ARC Rynek i Opinia company, from January to April 2021. The study covers 100 SMEs active in advanced technology industries. The results reflect the opinions of middle- to high level managers. The study findings show that there is a need for a deeper understanding of the factors behind trust-embedded open innovation collaboration, and the perception of open innovation as a win-win game for all the partners. Better understanding of these factors will ensure more effective communication in developing an open innovation environment in Polish SMEs. The study findings also indicate the need for an active role of key stakeholders and intermediary agents in facilitating formal and informal networks stimulating mutual trust, as well as the importance to build the educational system enabling the strengthening of the creativity, and the diffusion of innovations.

The convergence mechanism and spatial spillover effects of urban industry-university-research collaborative innovation performance in China

ABSTRACT This study deconstructs the triple helix structure of urban industry-university-research collaborative innovation into a two-stage chain structure of knowledge innovation and technological innovation. Based on data of 285 China prefecture-level cities from 2004 to 2018, this study measures the urban industry-university-research collaborative innovation performance using the network data envelopment analysis model. Additionally, it clarifies its spatial convergence mechanism and spatial spillover effects using the spatial convergence test and spatial Durbin model. The results suggest that: (1) the performance of China's urban industry-university-research collaborative innovation at different stages shows a spatial pattern with obvious regional differences and diversified development modes. (2) The overall performance shows a trend of gradual σ convergence with a slightly fluctuating rate, and the gap is constantly decreasing. Additionally, it shows an absolute β convergence trend at different stages, with an obvious geospatial club convergence trend in the eastern, central, and western regions. (3) The spatial spillover effects of ‘research-to-production’ performance and overall performance are stronger than that of ‘university-to-research’ performance. Finally, the collaborative innovation performance of various cities is dominated by the polarisation effect, and the its role as the driving force of regional innovation needs to be strengthened.

Platform collaboration patterns, network structure, and innovation performance: An NK simulation approach

Prior research lacks understanding about how collaborative arrangements and network structures influence innovation outcomes in platform-based ecosystems. This paper addresses this gap by using an NK simulation model to investigate the impacts of different collaboration patterns and network structures on innovation performance. The NK simulation approach overcomes the shortcomings of empirical methods and enables examining the dynamic impacts. The results reveal that the “special platform + generic complementor” pattern leads to the highest innovation output. The impact of component correlations on the innovation performance follows an inverted U-shape. The small world network structure promotes innovation versus regular or random networks. The results provide novel theoretical insights into strategically configuring platform partnerships and network connections to optimize innovation. The findings offer practical guidance for firms to choose beneficial collaboration pattern and design proper network structure.

Study on the Impact of Corporate ESG Performance on Green Innovation Performance—Evidence from Listed Companies in China A-Shares

With the establishment of China’s “dual carbon” target and the promotion of high-quality development strategy, the role of green innovation has become increasingly important. Corporate ESG innovation, as a guiding principle for companies to practice sustainable development and an important signal for evaluating their environmental and social responsibilities as well as corporate governance level, deserves in-depth research on its impact on green innovation performance. This paper empirically analyzes the green innovation effect of corporate ESG (Environmental, Social and Governance) performance using Chinese A-share listed companies as a sample from 2009 to 2021. The research shows that corporate ESG performance can enhance green innovation performance. Mechanism analysis reveals that ESG performance mainly improves green innovation performance by alleviating financing constraints and enhancing human capital. Further research shows that all three sub-dimensions of ESG performance contribute to improving green innovation performance, with the strongest effect observed in corporate governance performance. ESG performance not only enhances strategic green innovation performance and independent green innovation performance but also improves substantial green innovation performance and collaborative green innovation performance. Therefore, the government should improve the ESG information disclosure system, increase support for companies with excellent ESG performance, and improve local talent policies to attract high-quality green innovation talents. Investors should incorporate ESG performance into their decision-making and strengthen the identification and use of ESG information. Companies should formulate ESG strategies, increase relevant investments, prioritize corporate governance improvement, and enhance the quality of ESG information disclosure through various means.

Analysis of Service Quality Factors of the Regional Planning Agency of Aceh

Objective: This study examines how collaborative public innovation, transformational leadership, knowledge acquisition, employee competencies, innovative climate, and organizational performance affect service quality at the Regional Planning Agency of Aceh. Methods/Analysis: The study used quantitative analysis, qualitative interviews, and surveys. The data were analyzed using the SERVQUAL model and scatter analysis approaches. The correlation between variables was analyzed by Spearman rho correlation, while Kruskal-Wallis analyzed the significance between variables. Finding: The SERVQUAL model shows the Regional Planning Agency of Aceh provides good quality services; 98% of respondents gave an excellent rating, and 12% were good. Scatter analysis shows that the agency consistently meets expectations. Spearman rho correlation analysis shows that all determinant factor variables have a strong relationship with improving service quality and are also significant between variables (p<0.05). Novelty/Improvement: Improving the quality of the organization (Regional Planning Agency of Aceh) is primarily determined by the knowledge acquisition factor, which is followed by collaborative public innovation, transformational leadership, employee competencies, and an innovative climate. Doi: 10.28991/ESJ-2023-07-05-017 Full Text: PDF

Cognitive Characteristics of an Innovation Team and Collaborative Innovation Performance: The Mediating Role of Cooperative Behavior and the Moderating Role of Team Innovation Efficacy

Based on the theory of social cognition, this paper discusses the cognitive characteristics of an innovation team, the influence mechanism of cooperative behavior on collaborative innovation performance, and the moderating effect of team innovation efficacy in an enterprise collaborative innovation network. The hypothesis has been verified on the basis of 288 valid questionnaires. The results show the following: in the process of collaborative innovation, different dimensions of innovation team cognitive characteristics, namely collaborative innovation experience, the internal innovation environment of the enterprise, and emotional experience, have a significant positive impact on the collaborative innovation performance; and cooperative behavior plays a partial mediating role in the cognitive characteristics of the innovation team and collaborative innovation performance. In addition, the team’s innovation efficacy positively moderates the relationship between cooperative behavior and collaborative innovation performance. The results of this study not only expand the application of the social cognitive theory to the scope of collaborative innovation activities, but also have a certain reference significance to effectively mobilize the innovation initiative of the enterprise innovation team and improve the performance of collaborative innovation.

Do Team Boundary-Spanning Activities Affect Innovation Performance?

In order to reveal the impact of boundary-spanning activities of cooperative innovation teams on team innovation performance, this paper takes the panel data of 71 cooperative innovation teams from January to November 2022 as the research sample. It introduces intermediary variables (teamwork crafting and individual work crafting) to analyze the impact mechanism of boundary-spanning activities of teams on innovation performance, 71 teams were divided into 41 experimental groups and 30 control groups, and a quasi-natural experiment was conducted on the innovation performance of team boundary-spanning activities using the Double Difference Model (DID). Research has shown that boundary-spanning activities of collaborative innovation teams can promote team innovation performance. Team job crafting has a mediating effect on team innovation performance in boundary-spanning activities of collaborative innovation teams. Team job crafting and individual job crafting mediate between the boundary-spanning activities of collaborative innovation teams and team innovation performance. Further analysis using the double difference model found that compared to teams without boundary-spanning activities, teams with boundary-spanning activities can directly improve team innovation performance. When team reflection is vital and task interdependence is high, it will promote team innovation performance. This research enriches the research on the effects of boundary-spanning activities of collaborative innovation teams, explores solutions based on quasi-nature, and provides a reference for improving the team innovation performance of collaborative innovation teams.