Manufacturing Enterprises In China Research Articles

Exploring the Sustainability of China’s New Energy Vehicle Development: Fresh Evidence from Population Symbiosis

It is particularly important to measure the growth prospects of new energy vehicles, especially electric vehicles, as they can effectively reduce the negative effects of the greenhouse effect. The population dynamics analysis model provides a method to comprehensively evaluate the growth mechanism, mode, and development prospects of new energy vehicles. In this research, the sales data of 20 automobile manufacturing enterprises were counted from the website database of the China Automobile Industry Association, and their development mechanism, development mode, and development trend were analyzed in order to help researchers understand the development prospects of China’s new energy vehicle enterprises. The conclusion is that the analysis results of the single population logistic model show that the intrinsic growth rate of Chinese new energy vehicle enterprises is generally relatively low. The intrinsic growth rate of China’s new energy automobile enterprises is lower than that of other mature traditional automobile manufacturing enterprises in China. The level of intrinsic growth rate of new energy vehicle enterprises is similar to that of declining enterprises with significantly declining sales. The Lotka–Volterra model provides the analysis results of the growth mechanism driven by market demand of automobile manufacturing sample enterprises. The market driven mode of China’s new energy vehicle enterprises is not obvious. It is difficult for the current development mechanism of China’s new energy vehicle enterprises to achieve the sustainability of growth. The optimization results of the MCGP model show that China’s new energy vehicle enterprises should transform to a market-driven development model.

Research on the Impact of Actual Tax Bearing Rate on the Financial Performance of Enterprises.

This paper is based on financial data analysis of 241 listed pharmaceutical manufacturing enterprises in China, we study the different effects of different tax reduction policies on the financial performance of enterprises in the short term and long term. Through the verification of practical examples, it could be found that the implementation of a tax reduction policy can indeed play a positive role in the financial performance of enterprises, and the reduction of income tax significantly improves the short-term financial performance of enterprises. However, the tax reduction of turnover tax significantly enhances the long-term financial performance of enterprises, and the effect of tax reduction on the financial performance of state-owned enterprises is better than that of non-state-owned enterprises. Generally speaking, tax reduction policy has a better effect on the financial performance of non-state-owned enterprises and enterprises in central and western regions than state-owned enterprises and enterprises in eastern regions.

Improved Premium Model of Voltage Sag Insurance Based on Voltage Sag Risk

Voltage sag insurance (VSI) is an effective measure to reduce the voltage sag loss and risk for enterprises with insufficient mitigation confidence or economic ability. However, due to the lack of understanding of voltage sag risk (VSR), it is difficult for power utilities to identify the enterprises with VSI demands, and it is also unable to realize differentiated premium according to different enterprises' situations. To solve the above problems, this paper proposes an improved voltage sag premium model based on VSR. Firstly, the VSR factors are analyzed, such as the hazard, the vulnerability, the exposure. The process immune time is introduced to describe the vulnerability. Based on the traditional consideration of only the ability of users to resist voltage sag, the ability of users to recover from voltage sag is further considered. Then, the risk evaluation model of voltage sag is established. The evaluation results can help power utilities to judge whether enterprises have the demand of VSI. Finally, the improved premium model of VSI based on VSR is constructed to ensure the differentiation and rationalization of the premium. The correctness and rationality of this method are proved by ten manufacturing enterprises in China by analyzing the VSR and comparing the premium before and after the improvement.

Data element embedding and firm performance: The influence of ESG investment

ESG is a brand-new concept about how environmental, social and corporate governance supports sustainable development in enterprises. However, little research is done on how to reshape the internal mechanism by which data element embedding drives enterprise performance based on the brand-new sustainable concept. From the perspective of contingency theory and organizational agility, a conceptual model including ESG investment, data element embedding, organizational agility and environmental uncertainty is constructed to study the internal mechanism by which data element embedding affects enterprise performance. The model is empirically researched through the data obtained from the survey of 287 manufacturing enterprises in China. The results show that, ESG investment and external data element embedding impose no direct impact on enterprise performance, but create an indirect impact through organizational agility; environmental uncertainty negatively moderates the effect of ESG investment on organizational agility. Through the hierarchical analysis of ESG investment and data elements embedded in enterprise performance, the value creation mechanism of data elements is revealed, which enriches and expands the theory of data elements and organizational agility, and provides enlightenment for ESG investment to drive the value creation of data elements.

Enhancing sustainable development: Innovation ecosystem coopetition, environmental resource orchestration, and disruptive green innovation

AbstractDisruptive green innovation stands out in an important way to achieve corporate sustainable development. Although the general importance of innovation ecosystem has recently been emphasized, little research has considered the influence of innovation ecosystem coopetition on disruptive green innovation. Combining resource‐based view and resource orchestration theory, this study sheds light on the relationships among innovation ecosystem cooperation and competition, environmental resource orchestration, and disruptive green innovation under the moderating role of big data analytics capability. Using data collected from 295 manufacturing enterprises in China, the results show that both innovation ecosystem cooperation and competition have positive effects on environmental resource orchestration，and that environmental resource orchestration has a positive effect on disruptive green innovation. Furthermore, environmental resource orchestration is found to partially mediate the relationship between innovation ecosystem cooperation and disruptive green innovation, and to fully mediate the relationship between innovation ecosystem competition and disruptive green innovation. Moreover, we find that big data analytics capability has a moderating effect on the relationship between innovation ecosystem cooperation and environmental resource orchestration, whereas it does not moderate the relationship between innovation ecosystem competition and environmental resource orchestration. This study opens avenues for understanding the relationship between innovation ecosystem coopetition and disruptive green innovation, which enriches literature on both innovation ecosystem and green innovation. Likewise, this study has important implications for practitioners who attempt to promote market disruption and sustainable development with the help of ecosystems.

Intuitionistic fuzzy social network hybrid MCDM model for an assessment of digital reforms of manufacturing industry in China

• A new intuitionistic fuzzy aggregation method is proposed, called the IF hybrid average and geometric operator. • A multi-dimensional trust propagation model is built to reflect decision makers’ social relationships. • A social network MCDM model is proposed under an IFS environment. • The MCDM model is used to evaluate the effects of digital reform in the communication equipment manufacturing enterprises in China. • The influence of the parameters in the proposed method on the result is considered to ensure the robustness. Digital reform requires enterprises to use digital technology to create a deep integration between their production, management, and operational processes, and generate a data chain for the entire process, thereby meeting the personalized requirements and expectations of customers. The achievements of digital reform in manufacturing enterprises need to be evaluated scientifically, which can help the enterprises adjust their development strategies for a digital reform in a timely manner. We therefore propose a multi-criteria model based on a social network for assessing a digital reform under an intuitionistic fuzzy environment, wherein an intuitionistic fuzzy hybrid average and geometric operator is proposed to aggregate evaluation information more effectively than with existing methods. In addition, because the trust relationships between experts can affect their decisions, a social network is introduced to determine the weights assigned to these experts. Finally, a case study of four manufacturing enterprises is presented to verify the effectiveness of the proposed method.

Impact of Meritocratic Beliefs of Newcomers on Creativity: A Career Construction Perspective.

Recent research suggests that meritocratic beliefs impact future-oriented activities. However, relatively little attention has been given to concomitant work outcomes, such as employee creativity. This study examines how the meritocratic beliefs of newcomers relate to employee creativity. We explore a serial mediation model where the meritocratic beliefs of newcomers heighten their meaning of work and learning adaptability, which increases employee creativity. We use questionnaires to survey 212 full-time employees from 10 manufacturing enterprises in China, who had joined their companies for less than a year. The results show that positive serial indirect effects of the meritocratic beliefs of newcomers on employee creativity via increased meaning of work and learning adaptability. Overall, the results provide new insight that may advance theoretical and practical implications on the pathways in which meritocratic beliefs may enhance employee creativity.

Green Innovation, Green Dynamic Capability, and Enterprise Performance: Evidence from Heavy Polluting Manufacturing Enterprises in China

Green innovation is widely regarded as a beneficial strategy for manufacturing enterprises to accelerate green transformation. Drawing the natural resource‐based view with dynamic capabilities, this study proposes a model linking green innovation, green dynamic capability, and firm performance. Using survey data from 236 heavy polluting manufacturing firms in China, this study investigates the impact of green innovation on firm performance. The results show that green innovation is positively correlated with both enterprise performance and green dynamic capability, whereas green dynamic capability also has a significant impact on enterprise performance. Furthermore, the survey found that the green resource integration ability, organizational learning capability, and environmental insight capability of green dynamic capability play a moderating effect on the relationship between green innovation and enterprise performance. Additionally, we provide useful enlightenment for policymakers and business managers to stimulate green innovation in enterprises. Our research not only assists managers to better grasp the effects of green innovation practices but also provides some important implications for policymakers.

Does financialization of non-financial corporations promote the persistence of innovation: evidence from A-share listed manufacturing corporations in China

Financialization of non-financial corporations is an important factor affecting innovation activities. This paper calculates the optimal financialization of enterprises and the deviation of optimal financialization, divides amples into moderate and excessive financialization, then investigates the relationship between financialization and sustainable innovation in different research samples using the data of A-share manufacturing enterprises in China from 2012 to 2018. The results indicate that the deviation of optimal financialization is negatively related to the persistent innovation of enterprises. However, financialization had significantly different effects on persistent innovation in different research sample. More specifically, excessive financialization could crowd out the persistent innovation, but moderate financialization may promote the persistent innovation. This study provides a new perspective for understanding the relationship between financialization and innovation, and helps finance better serve the real economy.

A DEA integrated grey factor analysis approach for efficiency evaluation and ranking in uncertain systems

Efficiency evaluation and ranking in manufacturing systems involves complex and multiple input/output criteria. As a well-established non-statistical method for relative efficiency evaluation, data envelopment analysis (DEA) is questioned for the lack of discriminatory capability and the sensitivity to measurement error. Traditional multivariate statistical analysis used for multiple criteria performance evaluation has the prerequisite of underlying hypotheses and shows poor resolution facing up to insufficient amounts of sample data. We consider that the grey theory is a systematic analysis methodology that focuses on information insufficiency and model uncertainty. Thus, this study combines the advantages of DEA, factor analysis (FA), and grey theory to deal with the deficiencies. A DEA integrated grey factor analysis (GFA-DEA) efficiency evaluation and ranking model for uncertain systems is established. It is structured on the absolute degree of grey incidence (ADGI) matrix instead of the correlation matrix. Therefore, the underlying factors that explain a substantial proportion of the variance will be extracted, and the overall efficiency of all the identities will be evaluated and ranked. Furthermore, the model is employed to evaluate and rank the utilization efficiency of organizational quality infrastructure (QI) in 22 manufacturing enterprises in China, which is an important driver of business and operational performance improvement. According to Spearman rank correlation, the proposed method gives a higher correlation with super efficiency compared to other methods. The results indicate the adaptability of the GFA-DEA algorithm, which is able to offer a computationally easy and reliable result for small and uncertain data sets.

Effects of Supervisor Negative Feedback on Employees’ Feedback Management Behaviours

Studies on feedback management behaviours such as feedback-seeking behaviour (FSB) and feedback-avoiding behaviour (FAB) have developed relatively independently from the broader feedback literature. Little is known about how the feedback that individuals receive affects their subsequent feedback management behaviours. We propose an overarching framework that integrates conservation of resources theory with the cognitive-affective processing system framework to determine why and when supervisor negative feedback affects employees’ FSB and FAB. Data was collected at two points in time from 220 employees of a manufacturing enterprise in China. As anticipated, employee organisation-based self-esteem mediated the negative effects of supervisor negative feedback on employees’ FSB, while frustration mediated its positive effect on FAB. Leader-member exchange serves as a double-edged sword for employees, as it weakens the negative effects of supervisor negative feedback on employees’ organisation-based self-esteem, while strengthening the positive relationship between supervisor negative feedback and frustration. The theoretical and practical implications of the findings are discussed.

Transmission mechanism of simmelian ties on the knowledge spiral – the conducive combination of a high-performance work practice and knowledge fermentation

PurposeThe purpose of this paper is to analyse how different strengths of simmelian ties affect knowledge spirals and investigate which major factors affect the influence of simmelian ties on knowledge spirals.Design/methodology/approachThe empirical data in this paper were collected through e-mail and interview questionnaires to R&D teams in high-tech manufacturing enterprises in China. The authors obtained 132 teams' valid responses. The interval decision-making trial and evaluation laboratory (interval DEMATEL) method, differential evolution (DE) algorithm and Bayesian structural equation modelling (BSEM) were employed to test the theoretical framework developed for this paper.FindingsThe results show that strong simmelian ties have positive associations with high-performance work practices (HPWPs). Meanwhile, weak simmelian ties have positive associations with HPWPs. Furthermore, HPWPs and knowledge fermentation play a conducive role in the relationship between simmelian ties and knowledge spirals.Originality/valueThis paper contributes in three ways. First, it extends research on the relational antecedents of knowledge spirals. Second, this paper extends the study of social capital related to knowledge spirals. Third, this paper elucidates less familiar factors relating HPWPs to knowledge fermentation by testing the mediating role of HPWPs in knowledge fermentation.

The Analysis of Manufacturing Service Ecosystem’s Evolution Stability Based on Evolutionary Game

In the process of successful establishment and development of service ecosystem organization, manufacturing companies not only pay attention to their own resources, business models and competitive advantages, but also pay attention to the positioning in the manufacturing service ecosystem and the symbiosis with other members of the system to achieve complementarity and symbiotic development of resources among members. Based on this, we take the manufacturing service ecosystem in the transformation and upgrading of the manufacturing enterprises in China as the research object, and comprehensively uses the theory of evolutionary game and ecosystem to study the symbiotic evolutionary stability of the manufacturing service ecosystem. Through simulation, we find that integrator is more sensitive to the change of rights than supplier. Our conclusions have certain reference for manufacturing companies to improve the collaborative operation efficiency of manufacturing service ecosystem.

Ambidextrous Marketing Capabilities, Exploratory and Exploitative Market-Based Innovation, and Innovation Performance: An Empirical Study on China’s Manufacturing Sector

Despite the acknowledged importance of innovation for enterprises’ sustainable development, in comparison to technological innovation, research on market-based innovation is still in its nascent stage. It is unclear what factors will predict market-based innovation and how market-based innovation boosts innovation performance. Therefore, based on an adaptive marketing capabilities perspective and drawing on insights from the organizational ambidexterity literature, this study explored the relationships among enterprises’ marketing capabilities, market-based innovation and innovation performance. Data collected from 237 manufacturing enterprises in China were analyzed using hierarchical regression analysis and bootstrapping methods. The results showed that: (1) Marketing capabilities and market-based innovation activities are both ambidextrous. Specifically, marketing capabilities include marketing exploration capabilities and marketing exploitation capabilities, and market-based innovation includes exploratory market-based innovation and exploitative market-based innovation. (2) Ambidextrous marketing capabilities can enhance innovation performance significantly, with ambidextrous market-based innovation playing a partial mediating role in this relationship. Specifically, marketing exploration capabilities affect innovation performance through the partial mediating role of exploratory market-based innovation, whereas marketing exploitation capabilities affect innovation performance through the partial mediating role of exploitative market-based innovation. (3) Exploratory market-based innovation negatively moderates the relationship between exploitative market-based innovation and innovation performance, and exploitative market-based innovation also exerts a negative moderating effect on the exploratory market-based innovation–innovation performance association. These findings complement and enrich the ambidextrous capability (innovation) theory, helping manufacturing enterprises to better understand and deploy ambidexterity, and hence to achieve sustainability.

Assessment of Industrial Internet Platform Application in Manufacturing Enterprises: System Construction and Industrial Practice

To evaluate the effectiveness of the industrial Internet Platform (IIP) applied by manufacturing enterprises, this study proposes a set of assessment systems for guiding and standardizing the application of IIP. Our assessment framework is established based on five dimensions: strategy and organization; basic conditions; platform application; business innovation; and efficiency and benefit. We collect IIP application data from more than 1400 manufacturing enterprises in China. The application performance of the IIP in manufacturing enterprises were comprehensively analyzed from different perspectives such as equipment on the cloud, industrial knowledge accumulation and reuse, and industrial APP innovative application. The research results show that the overall score of IIP application in China is 31.76 according to our assessment criterion. The breadth and depth of platform application need to be improved. Furthermore, this study provides guidance to a wide range of potential market participants, such as manufacturing enterprises, service providers and relevant policy makers, to assess the effectiveness of platform application.

The chain mediation effect of spiritual leadership on employees' innovative behavior

PurposeBased on the intrinsic motivation theory and spiritual leadership theory, the current study proposes a chain mediation model for testing the linkage between spiritual leadership and employees' innovative behavior through individual values and role identity.Design/methodology/approachIn this study, 309 valid leader–subordinate matching questionnaires from 10 Internet enterprises and 21 manufacturing enterprises in China were collected through a field study. The hypotheses were tested using structural equation modeling and bootstrapping.FindingsThe results show that spiritual leadership has a positive impact on employees' innovative behavior. Uncertainty avoidance and creative role identity not only respectively play a mediating role but also play a chain mediating role in the process of spiritual leadership influencing employees' innovative behavior.Originality/valueThis study explores the influence of leadership style on employees' individual values, which has rarely been done in previous studies. Furthermore, the research explores the impact of personal values (uncertainty avoidance) on employee self-perception (creative role identity). And it enriches the relationship between spiritual leadership and employees' innovative behavior and reveals the deeper influence mechanism between them.

Sustainability assessment of mechanical manufacturing systems in the industrial sector

Sustainability assessment is growingly recognized as an effective analytical methodology and management tool useful for managing and improving sustainability performance. In this study, a novel approach of sustainability benchmark assessment is presented to overcome the performance quantification and hierarchization deficiencies of current sustainability assessment methods. A conceptual model demonstrating how sustainability assessment of mechanical manufacturing systems in the industrial sector produces mutually beneficial energy, economy and environment outcomes that serve to reduce energy and cost demand and mitigate environmental challenges is illustrated. Through constructing the sustainability index system encompassing energy, economy and environment perspectives, the energy, economy and environment-oriented assessment models are presented. Furthermore, two concepts concerning sustainability benchmark and sustainability benchmark rating are proposed to benefit the sustainable performance quantification and hierarchization of mechanical manufacturing systems. This method based on sustainability benchmark assessment is applied to a small mechanical manufacturing enterprise in China through which users can visualize and identify sustainability performance for different mechanical manufacturing systems. This approach can offer the effective feedback for users to enhance process management and technical improvement (process optimization) and to reconsider the energy, economic, and environment in new production cycle, enabling sustainability continuous cycle improvement. This study contributes a new theoretical insight for sustainability assessment by offering relational ties with technical and managerial aspects in support of industrial sustainability.

How to improve new product performance through customer relationship management and product development management: evidence from China

PurposeThis paper aims to investigate how to improve new product performance in turbulent circumstances of emerging economies.Design/methodology/approachThis paper used regression analysis to examine the performance impact of customer relationship management (CRM) and product development management (PDM) concentration strategy in new product development (NPD). A detailed contingent analysis of the market and institutional environments in emerging economies is also conducted based on a survey of 114 Chinese high-tech manufacturers.FindingsThe research findings show that PDM has a stronger positive effect on new product performance than CRM in emerging economies and that the contingent effects of the market and institutional environment vary. More specifically, technological turbulence and enforcement inefficiency can positively moderate the relationship between CRM and new product performance, whereas the moderating effect of market turbulence on CRM is negative. Meanwhile, enforcement inefficiency negatively moderates the effect of PDM on new product performance, while the moderating effect of market turbulence on PDM is positive.Research limitations/implicationsThis paper is limited to a survey of high-tech manufacturing enterprises in China. Further research should continues to explore and document the strategic issue about NPD in emerging economies by longitudinal study.Originality/valueThis paper contributed to theoretical and practical initiatives on the strategic issue of NPD and provided firms a further understanding of how to select the right NPD strategy in emerging economies to improve new product performance.

Coping with workplace ostracism: the roles of emotional exhaustion and resilience in deviant behavior

PurposeThe purpose of this paper is to explicate the relationship between workplace ostracism and deviant behavior, and further test the mediating role of emotional exhaustion and the moderating role of resilience.Design/methodology/approachA sample of 409 first-line production workers from four manufacturing enterprises in China was collected. A moderated mediation analysis was employed to test the hypotheses and examine the relationships proposed in the research framework.FindingsThe findings indicate that emotional exhaustion could mediate the relationship between workplace ostracism and deviant behavior. Moreover, the results from the moderated mediation analysis suggest that the mediation of emotional exhaustion is moderated by resilience such that with a higher level of resilience, the mediation effect of emotional exhaustion becomes weaker.Research limitations/implicationsThe participants of this study are limited to manufacturing enterprises, and thus our findings may not be equally valid for other types of industries. Meanwhile, this study is a cross-sectional research that could not explain the causal relationship between workplace ostracism and deviant behavior.Practical implicationsThe present research can offer some managerial implications about how to avoid the occurrence of workplace ostracism and deviant behavior for organizations.Originality/valueThis study constructs a moderated mediation model by introducing the potential mediating role of emotional exhaustion and the moderating effect of resilience in order to reveal the mechanism through which workplace ostracism relates to deviant behavior. Our research not only integrates and enriches the ideas of the Stress-Non-Equilibrium-Compensation Approach and the Transactional Model of Stress and Coping Theory but could also inform future management practices for mitigating the negative consequences of workplace ostracism.

Inclusive leadership, leader identification and employee voice behavior: The moderating role of power distance

Inclusive leadership, a particular mode of relational leadership, has received extensive attention from scholars in recent years. Inclusive leadership may indicate a positive relationship to employee voice behavior, but there is little research on the relationship between them. Therefore, based on social identity theory, this study aims to examine the effect of inclusive leadership on employee voice behavior, the mediating role of leader identification, and the moderating role of power distance. Through the analysis of 232 valid sample data obtained from employees working in food manufacturing enterprises in China, the results demonstrate that inclusive leadership is positively related to employees’ promotive and prohibitive voice behavior; leader identification partially mediates the effect of inclusive leadership on employees’ promotive and prohibitive voice. In addition, the results also indicate that power distance not only weakens the effect of inclusive leadership on leader identification and prohibitive voice, but also weakens the effect of leader identification on prohibitive voice. The findings have enriched the research on the consequences of inclusive leadership to a certain extent, provided a new perspective for in-depth analysis on the mechanism of inclusive leadership, and theoretically deepened an understanding of the boundary conditions of inclusive leadership.