Enterprise Technological Innovation Capability Research Articles

The Influence of Technological Innovation Capability on Sustainable Supply Chain Management Implementation—Evidence from Patent-Intensive Industries

The technological innovation capability of enterprises has many functions and many influences on the implementation of sustainable supply chain management. The study aims to shed light on how technological innovation capabilities (TICs) affect the implementation of sustainable supply chain management (SSCM) and how they can help organizations overcome internal barriers to SSCM implementation. This descriptive survey was conducted in the context of Iran. The survey was carried out with 27 responses, which were analyzed by one-sample t-test to determine the relationships between variables, and the Friedman test to rank the results. This study employs SPSS for statistical analysis. The study reveals that all TICs have a substantial effect on SSCM implementation in general, especially the learning capability, resource allocation capability, and manufacturing capability, which all have an almost identical positive and significant effect on SSCM implementation. Interestingly, organizing capability had the least influence on SSCM implementation. In addition, the results demonstrating improved TICs could assist firms in overcoming internal barriers to SSCM implementation. From a practical standpoint, the relationship between TICs and SSCM implementation and its barriers may give insight into how organizations can enhance their SSCM implementation by improving TICs. Moreover, policymakers and sustainable supply chain managers in Iran can benefit from the identified relationships in this study. This study is one of the first to analyze the impact of TICs on SSCM implementation, and the findings provide a novel paradigm for understanding how TICs influence the implementation of SSCM.

Enterprise technological innovation capability evaluation using a spherical fuzzy number based CSM-EDAS model

With the rapid development of science and technology, the flow of information has become more convenient, and society has entered the era of knowledge economy. In this era, technological innovation capability is becoming increasingly important and has become an important weapon for enterprises to survive in fierce competition, especially for technology-based small and medium-sized enterprises. Nowadays, technology-based small and medium-sized enterprises have developed many technological innovation achievements through continuous technological innovation, and have created a large number of high-tech products and services. Technological innovation has been proven to effectively improve the core competitiveness and economic benefits of technology-based small and medium-sized enterprises. Therefore, evaluating the technological innovation capabilities of technology-based small and medium-sized enterprises has both theoretical and practical significance. The enterprise technological innovation capability evaluation from a low carbon perspective could be deemed as the multiple attribute group decision making (MAGDM) problem. Recently, the evaluation based on distance from average solution (EDAS) technique and cosine similarity measure (CSM) technique has been employed to manage MAGDM issues. The spherical fuzzy sets (SFSs) are used as an efficient tool for portraying uncertain information during the enterprise technological innovation capability evaluation from a low carbon perspective. In this paper, the spherical fuzzy number EDAS based on the CSM (SFN-CSM-EDAS) technique is cultivated to manage the MAGDM under SFSs. Finally, a numerical study for enterprise technological innovation capability evaluation from a low carbon perspective is supplied to validate the proposed technique. The main contributions of this paper are outlined: (1) the EDAS and CSM technique was extended to SFSs; (2) the CRITIC technique is used to derive weight based on CSM technique under SFSs. (3) the SFN-CSM-EDAS technique is founded to manage the MAGDM under SFSs; (4) a numerical case study for enterprise technological innovation capability evaluation from a low carbon perspective and some comparative analysis is supplied to validate the SFN-CSM-EDAS technique.

How does the opening of high-speed rail drive energy restructuring? New micro evidence from China

Against the dual backdrop of China vigorously promoting high-speed railways (HSR) construction and establishing an ecological civilization system, HSR as urban transportation infrastructure, is currently gaining growing attention from the academic community due to its environmental benefits as well as its effects in energy conservation and emission reduction. In this context, this research treats the initiation of HSR as a quasi-natural experiment, meanwhile empirically examining the effect of HSR on energy structure restructuring and exploring the micro-level channels through which it operates. The empirical results validate the reduction effect of HSR opening on fuel energy consumption of industrial enterprises, especially the usage of fuel coal. This highlight remains valid across a series of robustness tests. Moreover, it is evident that the “driving effect” of enterprise technological innovation capability and the “industrial upgrading effect” of enterprise relocation are effective transmission pathways in the process of HSR opening influencing the adjustment of energy consumption structure. Moreover, the unique characteristics of enterprise, industry, and region introduce a certain degree of heterogeneity. The low-energy-consumption effect of HSR is more pronounced in high-carbon industry enterprises, technology-intensive enterprises, firms engaged in innovation pilot cities, small to the medium-sized city and resource-based city. This paper provides a new perspective on energy structure adjustment, contributing to offering solid experiences and references for environmental governance in China and other emerging economies.

The Influence of Workplace Envy on Employees' Knowledge-Hiding Behavior Based on a Comparative Analysis between Generation Cohorts.

How to promote the free flow of knowledge among employees is the core factor used to improve the innovation ability and even competitive advantage of an organization. Research on how to reduce knowledge-hiding behavior and promote knowledge sharing among employees becomes the key to enhancing the technological innovation capability of enterprises and effectively responding to the VUCA environment at present. Based on social comparison theory and regulatory focus theory, this study uses 402 enterprise employees as samples to deeply study the influence mechanism of workplace envy on their knowledge-hiding behavior and compare the differences between new-generation employees and non-new-generation employees. The research results show that: (1) employee's benign envy has a significant negative effect on knowledge-hiding behavior, while malicious envy has a significant positive effect on knowledge-hiding behavior. (2) Promotion regulatory focus plays a partly mediating effect between benign envy and employee knowledge-hiding behavior, while prevention regulatory focus also plays a partly mediating effect between malicious envy and employee knowledge-hiding behavior. (3) Generation not only has a positive moderating effect on the relationship between benign envy and promotion regulatory focus but also has a positive moderating effect on the relationship between malicious envy and prevention regulatory focus. This study further found that the younger the employee generation cohort, the more substantial the effect of benign envy on the promotion regulatory focus, while the older the employee generation cohort, the more substantial the effect of malicious envy on the prevention regulatory focus.

Evaluation of dynamic technological innovation capability in high-tech enterprises based on pythagorean fuzzy LBWA and MULTIMOORA

With the rapid development of science and technology, high-tech enterprises need to constantly carry out technological innovation to adapt to the changes in the external environment, and maintain their competitive advantages. However, the current research on technological innovation of high-tech enterprises is carried out from a static perspective, which is difficult to understand the dynamic evolution process of continuous technological innovation of high-tech enterprises in a turbulent environment. Therefore, this paper studies high-tech enterprises’ dynamic technological innovation ability from a dynamic perspective, through literature reading and the investigation of the technological innovation status of high-tech enterprises, the evaluation index system of 12 indicators under three dimensions is constructed. The multi-objective optimization by ratio analysis plus full multiplicative form (MULTIMOORA) –Level-based weight assessment (LBWA) comprehensive evaluation model based on Pythagorean fuzzy number (PFN) is proposed to evaluate the dynamic technological innovation ability of high-tech enterprises. Finally, the accuracy and reliability of the model are verified by case analysis. The result of this study shows that the ability to identify new technological knowledge and information outside the enterprise, the ability to obtain technological innovation resources, and the ability to strengthen the input of innovation resources are important factors for the dynamic technological innovation capability of enterprises, so enterprises should pay more attention from these aspects. This study provides a new comprehensive evaluation model and evaluation results can help the decision-makers find their strengths and weaknesses in time and improve them, to promote the sustainable development of high-tech enterprises.

Does environmental regulation spur innovation? Quasi-natural experiment in China

The relationship between stringent environmental regulation and the innovation capability of enterprises has been controversial. Treating the target-based sulfur dioxide emissions control policy implemented for the Two Control Zones after 2000 as a quasi-natural experiment, we exploit the difference-in-difference approach to investigate the causal relationship between stringent environmental regulation and technological innovation using the disaggregated Chinese manufacturing firm-level data between 1998 and 2007. Our estimation results indicate that the target-based environmental policy effectively limits the sulfur dioxide emissions of regulated enterprises and facilitates their technological innovation capability. The conclusion that strengthening environmental regulation has contributed to the technological innovation capability of enterprises is still robust after ruling out the effect of China’s integration into the World Trade Organization. However, enterprises with different characteristics might respond heterogeneously to strict environmental regulation. The estimation results of the difference-in-difference-in-difference confirm that heavily polluting enterprises and those exposed to greater environmental protection pressure have experienced more technological progress. Further analyses demonstrate that enterprises’ technological innovation triggered by strict environmental regulation dramatically reduces their non-clean energy consumption and improves their environmental performance. Our research sheds light on the causal relationship between environmental regulation and technological innovation and provides crucial references for governments within developing economies to design scientific environmental policies aimed at searching for win–win solutions for economic growth and eco-environmental protection.

CNS: Research on Regional Evaluation and Distribution Characteristics of Enterprise Technological Innovation Capability Based on Internet of Things and Big Data

In order to explore the regional evaluation and distribution characteristics of enterprises’ technological innovation capabilities, this paper introduces the Logistic model, a commonly used model in ecology to analyze the law of population growth. Moreover, this paper uses satellite-based symbiosis mode, network-based symbiosis mode, and network-satellite compound symbiosis mode to establish models to solve the stable equilibrium point, and summarize the symbiosis stability conditions of innovation clusters in various modes. In addition to this, this paper combines the Internet of Things and big data technology to study the regional evaluation and distribution characteristics of enterprise technological innovation capabilities, and build an intelligent model based on the Internet of Things and big data. The research results show that the research system of regional evaluation and distribution characteristics of enterprise technological innovation capabilities based on the Internet of Things and big data proposed in this paper has good results. Finally, this paper puts forward relevant suggestions with the support of the model proposed in this paper.

Research on the Evaluation Method of Enterprises' Independent Innovation Ability Based on Improved BP Neural Network and DQN Algorithm.

The development of enterprises has a very important influence on promoting national economic growth and improving comprehensive economic strength. This work evaluates the independent innovation ability of enterprises, analyzes the characteristics and difficulties of technological innovation of enterprises, and proposes corresponding solutions to promote independent technological innovation of enterprises. Firstly, the characteristics of the research object are clarified, and on the basis of relevant research, the theory of technological innovation and evaluation at home and abroad is expounded. At the same time, the basic theory of the improved BP neural network and DQN algorithm is introduced, which provides a theoretical basis for the research of the thesis. Secondly, according to the characteristics of enterprise technological innovation, an index system for evaluating the technological innovation capability of enterprises is constructed. Then, according to the related theory of the improved BP neural network and DQN algorithm, a neural network model for evaluating the technological innovation capability of enterprises is designed, and the validity of the model is verified through empirical research. Finally, this paper applies the evaluation model to the surveyed enterprises, comprehensively analyzes the characteristics and existing problems of independent technological innovation of enterprises, and proposes practical and feasible countermeasures to improve technological innovation capabilities from the perspective of enterprises themselves. The research results of this paper can be used as an effective supplement to the research on independent technological innovation of enterprises, and at the same time promote the continuous improvement of independent technological innovation capabilities of enterprises.

Optimizing deep learning and neural network to explore enterprise technology innovation model

The technological innovation capabilities of enterprises have a greater impact on regional economic development, and the evaluation of technological innovation capabilities of enterprises has a certain guiding role in the formulation of regional economic development plans. From the current situation, it can be seen that the technological innovation model of enterprises is affected by various factors. Based on deep learning and neural network technology, this research takes a high-tech park as an example to comprehensively evaluate the innovation ability of the high-tech park. The use of predicted values in some evaluation indicators can better reflect the innovation ability. At the same time, this research uses the historical GDP data of the park to predict future values and uses the predicted values as indicators of innovation ability. Finally, the idea of combined forecasting is used to comprehensively evaluate the technological innovation capability of enterprises. The research results show that the method proposed in this paper has certain predictive power, can provide guidance for regional economic development, and can provide theoretical references for subsequent related research.

Spatial interaction network structure and its influence on new energy enterprise technological innovation capability: Evidence from China

Improving the new energy enterprise technological innovation capability can effectively protect the ecology of the environment and reduce the consumption of resources. Based on the gravity model and the quadratic assignment procedure analysis method, this paper builds the spatial interaction network of new energy enterprise technology innovation capability. In this paper, we analyse the structural characteristics of the spatial interaction network and explore the main factors that influence it. The results show that the spatial interaction network of new energy enterprise technological innovation capability is robust. The network relations are closely linked, and there is no strict grade in this spatial interaction network. There are both centralization and marginalization trends in this network, and the block division is obvious. In addition, if there is proper reception, transmission capability, economic distance, and geographical distance are the main factors that can impact the interaction strength of this network. According to empirical research results, the relevant policy recommendations for promoting the new energy enterprise technology innovation capability are proposed. The policy recommendations include establishing the new energy technology innovation exchange platform, formulating regional development policies for the new energy enterprise, and improving the regional investment financing mechanism of the new energy enterprise.

Research on Regional Human Capital and Technological Innovation of Enterprises—Empirical Based on the R&D Intensity

Ethnological innovation is inseparable from human capital. Regional human capital as an endogenous force can promote the technological innovation capability of enterprises. Lots of researches argue that regional human capital and the Technological innovation are positive linear, while ignoring the moderate effects by R&D intensity. This paper bases on the provincial panel data of 2009-2015 years in China to explore the impact of regional human capital on technological innovation of enterprises, furthermore, under the moderate effect of R&D intensity. It’s found that regional human capital can effectively enhance the technological innovation capability of enterprises. Besides, R&D intensity has a significant moderating effect on the relationship between regional human capital and enterprise technological innovation capability.

Research on enterprise radical innovation based on machine learning in big data background

With the advent of the big data era, some new quantitative tools for enterprise radical innovation research have also emerged. The use of algorithms in machine learning can improve the deficiencies of the current methods of evaluating the technological innovation capability of enterprises. Based on the characteristics of radical innovation and the evaluation mode of traditional innovation performance, an evaluation index system of enterprise radical innovation performance is constituted by six dimensions of resources, technology, product, management, commercial value and social value, and a performance evaluation model of enterprise radical innovation is established by applying the BP neural network. Through model training and simulation verification on radical innovation performance evaluation of the sample enterprises, the results show that the method has high reliability and the model has good generalization ability.

The Analysis for the Scale and Efficiency of China’s Major Automotive Enterprises Based on DEA Model

This paper uses Data Envelopment Analysis (DEA) to measure the scale and efficiency of 28 major automotive enterprises in Chinese, and the results show that at this stage, large automobile manufacturers of China are under-produced and the production is too scattered, and the overall efficiency of automobile manufacturers is low. One of the main reasons is that because of the low technical efficiency value, the technological innovation capability of enterprises needs to be strengthened. The other reason is that the low efficiency of a large number of enterprises lowers the overall efficiency level. There is a positive correlation between the scale and efficiency of automobile manufacturers. Whether it is the horizontal comparison between different enterprises (nature) or the vertical comparison between the same enterprises, all show that compared with small-scale enterprises, large-scale manufacturing enterprises not only have higher scale efficiency but also have higher technical efficiency. With the expansion of production scale, the scale of enterprises and technical efficiency have improved, which shows that for the automotive industry, compared with other factors, economies of scale is the main factor that affects the automotive industry, and not only is it reflected in the scale but also in technological innovation. Therefore, when formulating policies, the relevant departments should support the development of large-scale enterprises, encourage mergers and acquisitions among enterprises, increase R&D investment, support technological innovation, and set up a scientific market exit mechanism to reduce exit costs, such as guiding the transformation of enterprises and establish a competition mechanism for the survival of the fittest.

Based on Factor Analysis of Enterprise Technological Innovation Ability Evaluation Research in Guangxi

Based on the existing evaluation index system, the evaluation index system of enterprise technical innovation ability is constructed. In this paper, we select the method of factor analysis and cluster analysis, and construct a model to evaluate the technological innovation capability of enterprises. Based on this model, the empirical study on the present situation and characteristics of enterprise technology innovation ability in Guangxi, and through the horizontal comparison with 30 different areas of the country's gap as an example, verify the validity of the model, so as to improve the ability of technological innovation of an enterprise in Guangxi scientific policy recommendations are put forward.

A Study on Enterprise Technological Innovation Capability Evaluation with 2-Tuple Linguistic Information

Today rapid and drastic changes are taking place in technology. Technological innovation capability of a nation to knowledge becomes the crucial factor which raises national industry competition ability. Only in this way can an enterprise scientifically realize its technological innovation ability in its competition with its counterpart, employ appropriate innovation strategy, make full use of its advantages and achieve the best economic and social benefits. The aim of this paper is to study the evaluation problems for evaluating the enterprise technological innovation capability with 2-tuple linguistic information. The induced 2-tuple linguistic choquet ordered harmonic average (I-2TCOHA) operator is used to aggregate the 2-tuple linguistic information corresponding to each alternative and rank the alternatives and select the most desirable one(s). Finally an illustrative example for evaluating the enterprise technological innovation capability has been given to show the developed approach.

A novel model for enterprise technological innovation capability evaluation with 2-tuple linguistic information

Today rapid and drastic changes are taking place in technology. Technological innovation capability of a nation to knowledge becomes the crucial factor which raises national industry competition ability. Only in this way can an enterprise scientifically realize its technological innovation ability in its competition with its counterpart, employ appropriate innovation strategy, make full use of its advantages and achieve the best economic and social benefits. The aim of this paper is to study the evaluation problems for evaluating the enterprise technological innovation capability with 2-tuple linguistic information. The induced 2-tuple linguistic choquet ordered harmonic average (I-2TCOHA) operator is used to aggregate the 2-tuple linguistic information corresponding to each alternative and rank the alternatives and select the most desirable one(s). Finally an illustrative example for evaluating the enterprise technological innovation capability has been given to show the developed approach.

Research on the Measurement of Enterprise Technological Innovation Capability Model based on Information Axiom

Enterprise technological innovation is featured by multi-level, multi-index, complex with uncertain information. This paper studies the measurement of enterprise technological innovation capability based on measurement index system that can reflect the innovation ability in an objective and systematic way. This index system is constructed according to certain rules and standards and sheds light on the measurement index model based on Euclidean distance and Information axiom. In this model, measurement indicators of different types are standardized and Euclidean distance is established. Then the weight of information content produced by Euclidean distance is calculated to get the comprehensive information content so as to measure the enterprise technological innovation capability. Measurement of three enterprises proves the model to be systematic, scientific and feasible.

Improve Technological Innovation Capability of Enterprises in Hebei Province by Absorbing Innovation Resources from Beijing and Tianjin

The Technological innovation capability of enterprises in Hebei Province lags behind the enterprises in Beijing and Tianjin,the main reasons include irrational industrial structure, inadequate investment in research, innovation soft environment not good enough. Hebei Province should absorbe the innovative resources from Beijing and Tianjin based on the characteristics of innovative elements. The enterprises in Hebei Province should improve the technological innovation capability by constructing regional innovation system with Beijing and Tianjin, transform and upgrade traditional industries, fostering the strategic new industries.

Improve Technological Innovation Capability of Enterprises Through Tacit Knowledge Sharing

The entreprise technological innovation capability depends on the level of tacit knowledge sharing. The enterprises tacit knowledge include technical element, cognitive element, experience element, emotional element and faith element. Tacit knowledge is the main body of enterprise knowledge with a priority.It is the basis and key to form the individual and enterprise innovation capability. Enterprises can share the tacit knowledge through the methods include trial of error, work with experts, create the environment for employees to exchange tacit knowledge, the innovative project team systems and promote conversion of tacit knowledge to explicit knowledge.

Model for Evaluating the Technological Innovation Capability of the High-tech Enterprises with Uncertain Linguistic Variables

In this paper, we investigate the multiple attribute decision making (MADM) problems for for evaluating the technological innovation capability for the high-tech enterprises with uncertain linguistic variables. We utilize the uncertain linguistic choquet integral (ULCI) operator to aggregate the uncertain linguistic variables corresponding to each alternative and get the overall value of the alternatives, then rank the alternatives and select the most desirable one(s). Finally, an illustrative example is given.