Synergistic Innovation Research Articles

Predicting financial performance with intellectual capital using machine learning

Purpose This study aims to apply machine learning techniques to efficiently predict leisure firms’ financial performance. Accurate financial forecasting is crucial in leisure and tourism, greatly affecting firms’ strategic decisions and competitive positioning. This study emphasizes the roles of intellectual capital to offer a nuanced understanding of how these types of capital influence firm success. Design/methodology/approach Using comprehensive firm-level data, this study examines several machine learning algorithms’ predictive capacity across a spectrum of industry sectors (general, manufacturing, service) to identify the most effective model and training dataset. These tools are used to evaluate financial metrics such as return on sales, return on assets and sales growth. A range of variables are incorporated into this process to enhance model accuracy and relevance. Findings Results demonstrate the support vector machine algorithm’s exceptional performance based on a training data set from the service sector in predicting leisure firms’ return on sales and sales growth. This algorithm is thus an efficacious strategic forecasting instrument. The variables significantly affecting firm performance include demand variation; organizational, product and technological innovation; synergistic innovation between multiple domains; salary levels; market strategy; and the number of employees. Originality/value By integrating advanced machine learning techniques with the strategic management of intellectual capital, this study presents a sophisticated approach to predicting leisure firms’ financial performance. Findings enrich the discourse on firm performance forecasting and offer actionable insights into strategic planning and resource allocation for practitioners in the leisure and tourism sectors.

The Emergence and Transformation of the Lithium-ion Battery Industry in Shenzhen

This paper has charted the dynamic evolution of Shenzhen's lithium-ion battery (LiB) industry through four distinctive stages, thereby elucidating the complex interplay between industrial growth, policy interventions, and technological advancements. The framework illustrated not only the vital role of resource pool at each stage of the LiB industry's evolution but also underscored how shifts in industry trends reciprocally influenced the structure of resource pool. In the first stage, the nascent LiB in Shenzhen was driven by local companies, operating on a traditional manufacturing model based on public knowledge. It benefited from the urban development advantages of Shenzhen, including its strategic location, industrial structure, and supportive government policies, setting the stage for subsequent evolution. The second stage marked the formation of a comprehensive industry chain, encompassing both upstream and downstream sectors, driven by the increasing demand for LiBs and the proliferation of consumer electronics manufacturing in Shenzhen. The expansion was not just in capacity but also in the scope, fostering a more interconnected and resilient industry ecosystem. The third stage witnessed a strategic shift from low value-added consumer electronic batteries to high value-added power batteries, propelled by national policy guidance and increased R&D investments. This shift was crucial in transitioning from conventional consumer electronics batteries to more sophisticated and lucrative energy solutions for automotive and industrial uses. The current stage, the fourth, is characterized by continuous innovation, talent development, and an emphasis on synergistic innovation between universities and enterprises. The establishment of intermediary organizations helped to promote the integration of resources and standardized division of labour within the innovation ecosystem. Throughout these stages, Shenzhen's LiB industry has navigated through varying challenges and opportunities, demonstrating remarkable adaptability and resilience. The LiB industry has continually responded to changes in the resource pool, adjusting interaction mechanisms to catalyse growth and innovation. Meanwhile, transformations in the industry have informed resource pool establishments, creating a dynamic feedback loop.

IMPACT OF THE SIMBA KUAT PROGRAM (RAMBA SYNERGY IN THE FIELD OF SUPPORTING CLEAN AND HEALTHY LEISURE) ON HANDLING STUNTING

This paper seeks to analyze the impact of the Strong Synergy Program to Support Clean and Healthy Villages through the concept of "From Waste to Happy Community." Based on data that has been collected from posyandu activities in May 2024 in Keluang Village, Tungkal Ilir District, Banyuasin Regency, there are 8 toddlers experiencing stunting and malnutrition conditions out of 40 toddlers who attended the activity. The program is designed to reduce the amount of wood waste thrown away and reduce the negative impact caused, provide educational play tools that can improve the quality of children's learning and stimulation, help improve stunting conditions through better cognitive and motor stimulation, and provide economic opportunities for local artisans and drive the community's economy. This paper and the program can be a breakthrough in synergistic innovation, where it is a combination of environmental solutions with health and education interventions in Indonesia.

“Synergistic Innovation: Crafting Indazole Derivatives for Advanced Anticancer, Antioxidant, and Antimicrobial Efficacy through Integrative Design and Holistic Evaluation”

AbstractThis study presents the synthesis and characterization of a newer series of N‐(1‐(2‐(phenylamino) pyrimidin‐4‐yl)‐1H‐indazol‐5‐yl)benzenesulfonamide (6 a–6 n) and N‐(6‐ethoxy‐1‐(2‐(phenylamino) pyrimidin‐4‐yl)‐1H‐indazol‐5‐yl)benzenesulfonamide (7 a–7 c) derivatives through the reaction of N‐(1‐(2‐chloropyrimidin‐4‐yl)‐1H‐indazol‐5‐yl) benzenesulfonamide (4 a–i) and N‐(1‐(2‐chloropyrimidin‐4‐yl)‐6‐ethoxy‐1H‐indazol‐5‐yl) benzenesulfonamide (5 a–i) with various aniline derivatives in isopropanol. The compounds were thoroughly evaluated for their biological activities, encompassing antifungal, antibacterial, and anticancer assays, as well as antioxidant potential in DPPH and ABTS assays. Compound 7 b (IC50: 0.0125 MIC), 6 e (IC50: 0.0128 MIC), and 6 i (IC50: 0.0128 MIC) demonstrated exceptional antibacterial efficacy, while 6 d (IC50: 0.0124 MIC), 6 f (IC50: 0.0125 MIC) and 7 c (IC50: 0.0118 MIC), exhibited notable antifungal activity. Compounds 6 c (IC50: 13.31±0.32 μM, A459) & (IC50: 22.36±1.76 μM, MCF7) displayed significant anticancer activity comparable to established drugs. Moreover, 6 b (IC50: 11.22±0.16 μM, A459) & (IC50: 18.21±1.32 μM, MCF7) and 6 d (IC50: 11.23±0.17 μM, A459) & (IC50: 18.31±1.41 μM, MCF7) showed remarkable anticancer potency. Notably, compound N‐(1‐(2‐(methyl(phenyl)amino)pyrimidin‐4‐yl)‐1H‐indazol‐5‐yl)‐4‐nitrobenzenesulfonamide (IC50:0.1090 μmol/mL for DPPH and IC50: 0.1286 μmol/mL for ABTS) exhibited the most significant antioxidant activity. Computational docking studies revealed robust binding interactions with target enzymes (PDB ID: 4JT3 for anticancer, PDB ID: 1EA1 for antifungal, PDB ID: 1KZN for antibacterial, PDB ID: 3SRG for antioxidant), supported by molecular dynamics simulations indicating consistent stability of the most potent compound within the binding sites of the target proteins. These findings underscore the therapeutic potential of these derivatives, warranting further investigation for potential clinical applications.

Synergistic Relationship, Agent Interaction, and Knowledge Coupling: Driving Innovation in Intelligent Construction Technology

The core driving force behind innovation in intelligent construction technology is synergistic relationships. It has become common practice to promote synergistic innovation through agent interaction and knowledge coupling in the development of intelligent construction technology. Drawing upon synergetics, social network theory, and the knowledge base view as theoretical frameworks, this research examines the impact of synergistic relationship, agent interaction, and knowledge coupling on innovation in intelligent construction technology. An empirical analysis of 186 questionnaires revealed the following: (1) regarding synergistic relationships, both horizontal synergy and vertical synergy significantly positively impact innovation in intelligent construction technology. (2) Concerning agent interaction, strong interaction serves as a mediator between horizontal synergy and innovation in intelligent construction technology, while weak interaction serves as a mediator between vertical synergy and innovation in intelligent construction technology. (3) Knowledge coupling has a positive moderating effect on innovation in intelligent construction technology under a strong interaction and a negative moderating effect on innovation in intelligent construction technology under a weak interaction. This study contributes to expanding the theory of synergistic relationships and its application in the context of intelligent construction technology. Furthermore, it provides practical insights and guidance for construction companies seeking to enhance innovation in intelligent construction technology through the utilization of agent interaction and knowledge coupling.

Supply Chain Networks Source of Knowledge Sharing: Impacts of Capability and Collaborative Innovation Activities on Innovation Performance

Expanding on information the executives and innovation capacity speculations, this paper expects to uncover the systems of communitarian development measures by exploring the perplexing connections among basic variables impacting company's innovation execution in inventory network organizations. Utilizing progressive Multiple Regression (MR) and Moderated Multiple Regression (MMR) strategies, results from a review of 315 firms in China showed that there are critical positive connections between synergistic innovation exercises, information sharing, collective development ability, and company's innovation execution. Additionally, it is normal that information sharing plays an incomplete interceding job in the connections between collective innovation exercises and company's development execution. Community oriented development capacity displayed a directing impact on synergistic innovation exercises - development execution relationship. These outcomes add to community oriented development measure the executives by offering a nuanced conceptualization of the collective innovation - execution relationship in production network organizations.

Does black-box supplier involvement help buyers' product modular and architectural innovation? The moderating role of product modularity

PurposeIn product modular design tasks, especially in the high-tech manufacturing industry, buyers and supplies play distinct roles, which may have different impacts on product architectural and modular innovation. Prior research has tended to view product innovation as a holistic concept, overlooking the importance of this differentiated influence. This study, from a modular design perspective, aims to clarify the impact of black-box supplier involvement on product architectural and modular innovation, as well as the influence of product modularity on these relationships.Design/methodology/approachBased on the theory of product modular design, this study decomposes product innovation into architectural and modular innovation from the perspective of the product internal structure to conduct in-depth theoretical analysis and model construction. A total of 276 valid questionnaires are collected from typical Chinese high-tech manufacturing firms and used to empirically test the constructed theoretical model using multiple hierarchical regression analysis.FindingsThe results show that black-box supplier involvement positively affects modular innovation and takes an inverted U-shape, as moderated by product modularity. However, the impact of black-box supplier involvement on architectural innovation shows contradictory differences at different modularity levels. Under a low level of product modular design, black-box supplier involvement has a negative impact on architectural innovation, but under a moderate level of modular design, it has a positive impact. After the degree of modular design exceeds a certain threshold, the impact gradually weakens.Practical implicationsThe results provide valuable insights for managers, highlighting the need to avoid oversimplifying the innovation impact of black-box suppliers solely based on overall product innovation. Instead, a more accurate assessment of the innovation contributions of both the buyer and supplier should be based on the degree of architectural and modular innovation. Additionally, the findings suggest that managers should consider the alignment between their company's product modular design features and innovation priorities (i.e. modular innovation or architectural innovation) when determining an appropriate supplier collaborative development strategy.Originality/valueThis study not only reveals the different impacts of black-box supplier involvement on architectural and modular innovation, but also proves the significant synergistic innovation effect of the relationship between black-box supplier involvement and product modularization. It constitutes an enriched and deepened exploration in the existing research on supplier involvement in product innovation.

Synergy between Electric Vehicle Manufacturers and Battery Recyclers through Technology and Innovation: A Game Theory Approach

Power battery recycling (PBR) has triggered profound changes in the industrial chain of electric vehicles (EVs). The PBR innovation network provides information channels and resource conditions for enterprises, but the mechanism of its impact on the synergistic innovation benefits and sustainable development ability of EV and PBR enterprises still needs further exploration. In this paper, we collect patent data for PBR from 2012 to 2020, identify the structural characteristics of innovation networks, and construct a synergy game model for PBR technology, aiming to analyze the synergistic effect of network embedding and knowledge spillover in PBR enterprises on technological innovation. First, we find that the PBR innovation network exhibits the small-world effect, which has a double-edged sword effect on technological cooperation innovation. Second, structural holes benefits of the main body of PBR technological innovation have a significant impact on cooperation innovation behavior. Third, the enhancement of the relevance and deep complementarity of knowledge cooperation is sufficient to make up for the input cost of PBR technological cooperation innovation, with additional benefits created by the increase in the output of structural holes. However, companies tend to be more inclined toward non-cooperative innovation as the knowledge spillover effect of the innovation network increases.

Research on Synergistic Innovation Path of Civic and Political Education and Student Management in Colleges and Universities in the New Era

Civic and political education and student management are the core components of higher education, which provide students with the foundation of morality, ethics, and civic responsibility. However, Civic and political education and student management in the new era have undergone profound changes. Civic and political education is no longer only "moral education" in the traditional sense, but also pays more attention to cultivating students' critical thinking, innovative spirit and sense of social responsibility, and student management has experienced a change from traditional "management" to "service". Student management has also undergone a transformation from traditional "management" to "service" and "guidance". This paper will focus on the connotation, concept, and synergistic innovation path of these two fields, aiming to explore how to carry out efficient and targeted civic education and student management under the new historical conditions.

The influence of open innovation on the synergistic innovation capability of Chinese manufacturing firms: the mediating role of tacit knowledge acquisition

PurposeChina has climbed from 22nd in the Global Innovation Index Rankings in 2017 to 11th in the 2022 due to the transition of its manufacturing firms from assemblers to system integrators. This paper examines how firms can enhance their innovation capability through inbound and outbound open innovation.Design/methodology/approachThis paper applies both open innovation and a knowledge-based view and proposes a conceptual framework that encompasses innovation capability and the significance of tacit knowledge acquisition. A questionnaire was designed to collect relevant data from 139 Chinese manufacturing firms in six regions to test this framework.FindingsThe authors found that inbound open innovation has a stronger impact than outbound open innovation on synergistic innovation capability. The acquisition of skill-based tacit knowledge has a slightly stronger intermediary role between open innovation (no matter inbound or outbound) and synergistic innovation capability than cognitive tacit knowledge does.Practical implicationsFirms should improve external tacit knowledge acquisition efforts to generate new knowledge, inspire the innovation passion of employees and implement ambidextrous open innovation.Originality/valueThis paper makes a good first step to analyze the effect of ambidextrous open innovation on the synergistic innovation capability of Chinese manufacturing firms. It verifies the role of skill-based and cognitive tacit knowledge acquisition and provides new reflections on open innovation strategy in emerging economies, thus enriching open innovation and knowledge-based theories.

Synergistic Innovation in Platform-Based Enterprise Innovation Ecosystem: A Fuzzy Perspective

Synergistic Innovation in Platform-Based Enterprise Innovation Ecosystem: A Fuzzy Perspective

The mechanism of innovation-driven emerging technology generation based on big data fusion in the perspective of technological self-reliance and self-improvement

Abstract Emerging technologies create opportunities for later adopters to achieve technological and economic leapfrogging and are highly valued by governments and enterprises. In this paper, we first screen the key factors influencing innovation drive through data region feature extraction to achieve a synergistic innovation effect between collaborative innovation and R&D subjects. Secondly, the multidimensional data are fused, and the feature extraction is performed using Transformer’s encoder (Encoder) structure, and the bidirectional coding of the input sequence text is realized using the supporting MLM training method. Finally, by comparing the analysis with other multimodal fusion methods in the constructed real dataset, the high performance of this method on emerging technology innovation-driven problems is demonstrated. The experimental results show that the absolute path coefficient of the innovation environment on collaborative innovation capability is 0.728 and the standardized coefficient is 0.835, which indicates that the innovation environment has a significant positive correlation with the innovation capability of emerging technology R&D subjects. The innovation-driven performance of science and technology emerging technology generation mechanism based on big data fusion technology is improved by 34.2%. The innovation-driving model based on big data fusion technology proposed in this paper plays a positive role in promoting the agglomeration of emerging industries and effectively improves the innovation ability and the conversion rate of R&D results of emerging enterprises, which is of great strategic significance for future economic development.

Resource Integration and Synergistic Innovation Effect of Innovative Enterprises

Resource Integration and Synergistic Innovation Effect of Innovative Enterprises

Четвертая промышленная революция и современная модель функционирования хозяйственных систем (Размышления о книге: Блуммарт, Т. Четвертая промышленная революция и бизнес: как конкурировать и развиваться в эпоху сингулярности [Текст] : пер. с англ. / Т. Блуммарт, С. ван ден Брук при участии Э. Колтофа. – М. : Альпина Паблишер, 2019. – 204 с.)

The article examines the main points of the book by T. Bloommart and S. Brook “The Fourth Industrial Revolution and Business: How to Compete and Develop in the Era of the Singularity”. The author reflects on the phenomena “technological singularity”, “singular environment”, “ecosystem”, “technological platform”, “exponential and divergent development of economic systems”, “synergistic innovation culture” and their defining influence on the Industrial Revolution 4.0. The issues of changes in the labor market (the emergence of new professions and the dying off of a number of old ones), in business management models (the need for bimodal business management), radical transformations of competitive advantages (avoiding mass production and focusing on a specific consumer, returning capital from countries with cheap labor), the impact of existing or generated institutional barriers on economic systems of various levels within the studied phenomenon. The tasks of economic entities have been determined for the mega- (economic growth, dissonance between environmental friendliness and innovation, the impact of the global financial system on the rate of technological change); macro- ; and meso- (creation and development of new technological platforms and ecosystems, personnel training); microlevel (implementation of a bimodal model management, identification and timely preparation of the organization for adaptation in the presence of disruptive technologies in the industry, the need for the exponential development of the organization), which confront them with new technological realities that require timely resolution in the future.

A Study on the Measurement and Influencing Factors of Innovation Governance Performance of Hubei Province in China Based on Technology Heterogeneity

Exploring areas of innovation and development and promoting total factor productivity is a topic that is crucial to implementing innovation‐driven strategies and building a modern economic system in the Hubei province in China. So, the aim of the research is to find a methodology for computing innovation performance and its influence factors in the Hubei region of China. Based on the existing efficiency measurement methods, this study measures the innovation efficiency performance and subsequently the innovation performance by using the optimized Färe‐Primont index for a sample of 28 manufacturing industries in Hubei. A threshold regression model of multidimensional explanatory variables focusing on business performance, government support, industry openness, and synergic innovation is used to investigate the core factors that affect the improvement of innovation performance in Hubei’s manufacturing industries. Results show that there is a significant “technological heterogeneity” in Hubei’s manufacturing industries. Business performance plays a significant role in promoting the innovation performance of manufacturing industries, while the roles of industry development, government support, and synergic innovation on innovation performance change depending on the “technological characteristics” of industries.

Efficacy in Synergistic Innovation: Managing Co-Creation Design in an Interdisciplinary Studio

Efficacy in Synergistic Innovation: Managing Co-Creation Design in an Interdisciplinary Studio

Promoting synergistic innovation in logistics service outsourcing

PurposeThe purpose of this study is to explore what is synergistic innovation in the logistics service outsourcing context and how this strategy can potentially benefit an organization by improving performance outcomes.Design/methodology/approachA total of 21 in-depth interviews were conducted to conceptualize the construct of synergistic innovation. In addition, a theory-based model is tested using data collected from 282 Chinese manufacturing firms that are currently engaged in logistics service outsourcing.FindingsThe results from the in-depth interviews reveal that synergistic innovation goes beyond just interactions on innovation but requires both parties to achieve synergies that otherwise cannot be achieved by individual party alone. In addition, the empirical analysis suggests that synergistic innovation can help firms improve both logistics service performance and market performance. This process is dynamic as knowledge integration capability influences the outcomes of synergistic innovation.Originality/valueThis study is among the first to conceptualize synergistic innovation. It also offers a practical scale that helps future studies effectively measure this construct. Moreover, the results of this study provide compelling insights into how managers can use logistics service outsourcing as an important source for improving innovation outcomes.

Evolutionary Game Simulation of Knowledge Transfer in Industry-University-Research Cooperative Innovation Network under Different Network Scales

This paper takes the industry-university-research cooperation innovation network constructed by the weighted evolutionary BBV model as the research object, which is based on bipartite graph and evolutionary game theory, and constructing the game model of knowledge transfer in the industry-university-research cooperation innovation network, by using the simulation analysis method and analyzing the evolution law of knowledge transfer in the industry-university-research cooperation innovation network under different network scales, three scenarios, the knowledge transfer coefficient and the knowledge reorganization coefficient. The results show that the increase of network scale reduces the speed of knowledge transfer in the network, and the greater the average cooperation intensity of the nodes, the higher the evolution depth of knowledge transfer. Compared with university-research institutes, the evolution depth of knowledge transfer in enterprises is higher, and with the increase of network scale, the gap between the evolution depth of knowledge transfer between them is gradually increasing. Only when reward, punishment and synergistic innovation benefits are higher than the cost of knowledge transfer that can promote the benign evolution of industry-university-research cooperation innovation networks. Only when the knowledge transfer coefficient and the knowledge reorganization coefficient exceed a certain threshold will knowledge transfer behavior emerge in the network. With the increase of the knowledge transfer coefficient and the knowledge reorganization coefficient, the knowledge transfer evolutionary depth of the average cooperation intensity of all kinds of nodes is gradually deepening.

Innovations for Declining Product to Extend Product Life Cycle (Case of TelX International Call Service Vinci)


 Change is rapid and unpredictable today. There are many emerging innovation that is used in society. There are many old and quite large today find themselves in business activities that have little promise for future growth and profit. Every firm need to manage their technologies and products, because the world is changing and new technologies emerge and the trade is shifting dynamically. Firms need to adapt, particularly in digital and telecommunication industries. Technology of internet changes the way of competition and value-creating model.
 
 TelX International Call Service Vinci is one of PT TelX product to make an international call directly. This product is facing its decline phase according to product life cycle process. People start to leave TelX International Call Service Vinci and even do not know this product. However, this product can still give revenue for PT TelX. But, that revenue shows declining trend from over previous years. Innovation is needed to create more value for TelX International Call Service Vinci and extend the life of this product.
 
 This research aim is to identify the factors that can influence the decline of TelX International Call Service Vinci and determine the innovations that are suitable and can be done for this product. This research uses qualitative and quantitative method. Qualitative data is collected from interview with Manager Regional Wholesale Service Telecommunication and observation in PT TelX. Quantitative data is collected through questionnaire from 70 respondents. Secondary data is collected from annual reports, journals, and books that support the research. Frameworks that used in this research are product life cycle framework and synergic innovation management model.
 Decline of TelX International Call Service Vinci is caused by several factors. First is because the product has entered its mature stage. Second cause is less intensive marketing process from PT TelX for this product. Third is caused by the characteristic of customers. Low switching cost and niche market makes this product has little sales. Last factor is caused by other products that use newer technology for their products, for example the usage of internet. Innovations that are proposed for TelX International Call Service Vinci are change the packaging of TelX International Call Service Vinci and create attractive user interface for this product, partnering with VoIP (Voice over Internet Protocol) provider to create better service, and sell TelX International Call Service Vinci in bundle with other Telecommunication services.

Empirical Research on Innovation Cluster Area Planning Based on Collaborative Innovation Theory

Innovation has become one of the main driving forces of social and economic development, and innovation clusters are crucial supporters for innovative development. Introducing collaborative innovation theory, this paper proposes an important mechanism for the implementation of innovation, and it has theoretical guiding significance for the interpretation and optimization of the spatial effects of innovation clusters. Based on an analysis of the operational mechanisms of collaborative innovation, we explain the formation mechanism and spatial law of innovation clusters from the aspects of innovation environment, innovation subject and collaborative innovation relationship. Then, taking the Dream Town of the Yuhang District in Hangzhou, China, as an example, this paper studies the mechanism of collaborative innovation effects, specifically in physical space design and policy making. With the goal of promoting innovative development, this paper analyzes the influencing factors and mechanisms of the collaborative innovation effect from the aspects of strategic orientation, knowledge integration and innovation and environmental collaboration. At the same time, it summarizes the existing problems of the base, and proposes three aspects: policy orientation, university cooperation and space optimization. The corresponding optimization strategy aims to drive the synergistic innovation effect from the aspects of space and policy, and to provide the impetus for the economic development of the innovation cluster. Through collaborative innovation, we can form a better protection and support environment for innovation subjects, and each of them can break the boundaries of departments, units and industries to achieve the optimal allocation of innovative resources. Collaborative innovation theory is an important theoretical tool to explain the development mechanism and cooperation mode of the innovation cluster area, and also has important guiding significance for the physical planning and construction of innovation clusters.