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The view that dynamic capabilities theory can help explain how lean organizations improve has been put forward by scholars. However, there is still a lack of research on the matching relationship between the application of lean practice and the internal elements of enterprise organization from the perspective of dynamic capabilities. The purpose of this study is to validate the moderating effect of dynamic capabilities on the relationship between lean practices and operational performance.

This study used the method of survey and empirical research to collect sample data from 263 enterprises in China. Through literature review, this study put forward the moderating hypotheses around dynamic capabilities, lean practices and operation performance and used the method of regression analysis to validate these hypotheses.

The results showed that dynamic capabilities have a partially moderating effect on the application of lean practices. Specifically, dynamic capabilities have a significant moderating effect on the relationship between just-in-time, total quality management, total preventive maintenance and operational performance, while dynamic capabilities have no significant moderating effect on the relationship between human resource management and operational performance.

The research conclusion complements and enriches the lean practices literature from the perspective of dynamic capabilities. Existing studies mainly focus on the moderating role of external environmental factors, while there is a lack of empirical research on the role of dynamic capabilities in lean practices literature. The research results will help enterprises further understand the matching relationship between lean practices and dynamic capabilities and then improve the success of lean practices application.

The purpose of this study is to investigate whether the corporate environmental, social and governance (ESG) performance of enterprise is influenced by the enterprise digital transformation. In addition, this study explains how enterprise digital transformation affects ESG performance.

The sample covers 4,646 nonfinancial companies listed on China’s A-share market from 2009 to 2021. The study adopts the fixed-effects multiple linear regression to perform the data analysis.

The study finds that enterprise digital transformation has a significant inverted U-shaped impact on ESG performance. Moderate digital transformation can improve enterprise ESG performance, whereas excessive digital transformation will bring new organizational conflicts and increase enterprise costs, which is detrimental to ESG performance. This inverted U-shaped effect is more pronounced in industrial cities, manufacturing industries and enterprises with less financing constraints and executives with financial backgrounds. Enterprise digital transformation mainly affects ESG performance by affecting the level of internal information communication and disclosure, the level of internal control and the principal-agent cost.

The government should take multiple measures to encourage enterprises to choose appropriate digital transformation based on their own production behaviors and development strategies, encourage them to innovate and upgrade their organizational management and development models in conjunction with digital transformation and guide them to use digital technology to improve ESG performance.

This study shows that irrational digital transformation cannot effectively improve the ESG performance of enterprises and promote the sustainable development of the country. Enterprises should carry out reasonable digital transformation according to their own development needs and finally improve the green and sustainable development ability of enterprises and promote the sustainable development of society.

This study examines the relationship between enterprise digital transformation and ESG performance. Different from the linear relationship between the two in previous major studies, this study proves the inverse U-shaped relationship between enterprise digital transformation and ESG performance through mathematical theoretical model derivation and empirical test. This study also explores in detail how corporate digital transformation affects ESG performance, as well as discusses heterogeneity at the city, industry and firm levels. It is proposed that enterprises should take into account their own characteristics and carry out reasonable digital transformation according to their development needs.

The main purpose of this paper is to explore the impact of digital transformation on enterprises' performance considering financing constraints in the capital market to explore whether digital transformation improves enterprises' performance through the financing constraints channel.

This study, using a panel data set of 14,669 observations of 2,858 non-financial enterprises that issued A shares on the Shanghai and Shenzhen stock exchanges from 2013 to 2019, theoretically and empirically tests the impact and mechanism of digital transformation on enterprise performance.

Digital transformation has a significant positive effect on enterprise performance; this conclusion remains the same after the robustness test and endogeneity problems are dealt with. Financing constraints play a mediation role between digital transformation and enterprise innovation. The effect of digital transformation on enterprise performance varies significantly by size, ownership and industry.

The theoretical contributions of this study not only enrich the literature on the economic benefits and mechanism of digital transformation but also expand the literature on the factors that influence enterprise performance. The practical contribution of this study is the reference that it provides for implementing decisions about enterprise digital transformation and formulating differentiated policies for government digital transformation.

This study is aimed at making an inspection of the effects of collaborative innovation network characteristics on firm innovation performance, and the intermediary roles of knowledge transfer efficiency is taken into account.

This study used a convenient sampling method to obtain population and samples. Using data obtained by publishing online and paper questionnaires, and using on-site interviews in Anhui Province in the Yangtze River Delta region of China, descriptive analysis, regression analysis and correlation analysis are utilized to study the direct influence of collaborative innovation network characteristics on knowledge transfer efficiency as well as firm innovation performance, and the intermediary roles of knowledge transfer efficiency on firm innovation performance, respectively. In this study, 3,000 questionnaires were distributed to the employees of enterprises engaged in research and development (R&D) activities, of which 2,560 were valid. With the help of SPSS24.0 software, the reliability and validity of the questionnaire was analyzed.

The results are indicative of that network centrality and relationship strength positively affect knowledge transfer efficiency and firm innovation performance. Nevertheless, network scale has no significant correlation with knowledge transfer efficiency and enterprise innovation performance. In addition, knowledge transfer efficiency is an intermediary between collaborative innovation network characteristics and enterprise innovation performance, and positively affects enterprise innovation performance, which demonstrated that managers should take advantage of collaborative innovation network characteristics to elevate knowledge transfer efficiency because well-realized transferals of knowledge can help accelerate the coordination of resources in knowledge, and finally bring about the advancement of firm's innovation abilities and performance.

There are few previous studies that fully examined the relationships among collaborative innovation network characteristics, knowledge transfer efficiency and firm innovation performance. This paper developed previous researches on the relationships between collaborative innovation network characteristics, knowledge transfer efficiency and firm innovation performance. The mediation of knowledge transfer efficiency on the relationship between collaborative innovation network characteristics and firm innovation performance is analyzed. Further, studies on collaborative innovation network characteristics using data obtained from employees engaged in R&D activities are very limited in the literature. On account of that, the findings in this study may make sense to the innovation ability of innovative enterprise and expand the literature in the field of enterprise strategic management and knowledge management.

This analysis shows that collaborative innovation network characteristics have both positive and negative effects on firm innovation performance. Therefore, business managers should pay attention to their position in the collaborative innovation network and maintain the relationship strength with other innovation subjects. Special consideration should be given to the knowledge transfer of innovative enterprises, so as to improve firm innovation performance practically.

The study may provide additional understandings for researchers, government managers, universities and enterprises with regard to strategic management from the visual angle of innovation ecosystems. It is instrumental in the exploration of the mechanisms enabling firm innovation performance.

The purpose of this study is to propose a model of a value cocreation strategy (VCS) for analyzing how enterprises adopt innovative, marketing, and design strategies to achieve their performance goals through cocreation.

In the present study, a case study was conducted to establish a preliminary model. Subsequently, 1,000 NPD project managers in information and communications technology industries were approached to complete a two-stage questionnaire survey. The first survey investigated the VCSs they adopted for their marketing, innovation and design activities (valid questionnaires recovered=283). The valid respondents completed a second survey measuring their NPD performance 18 months after launching a new product (valid questionnaires recovered=247).

A conceptual was constructed to explain the effects of innovation marketing and design cocreation strategies on NPD performance. A partial least squares method was used to test the model showing a good fit between the model and the survey data, indicating the applicability of the proposed model. The innovation marketing and design cocreation strategies of the enterprises affected their NPD performance. Enterprises adopting diverse cocreation strategies improved their NPD performance. The cocreation strategies in the model were independent and mediating variables to NPD performance. A qualitative comparative analysis was performed to examine which strategy configurations affected NPD performance and to explore any regular patterns in them. Finally, a cluster analysis was conducted to investigate four cocreation strategies: market development, technology improvement, cost direction and customer service.

Whether different industry categories involve different characteristics and whether different corporate cultures cause inconsistent result in value cocreation warrants further in-depth investigation. In addition, the two surveys conducted in this study were separated by 18 months, and thus, only the short-term NPD performance could be presented. Future studies are recommended to conduct an extensive exploration of different industries, administer long-term surveys, investigate the different levels of influence of various types of enterprise on the proposed research model or examine the degree of difference in the mechanisms and methods adopted for elevating innovation performance.

Enterprises can reference the proposed approach to optimize their product development and services according to their organizational resources and market advantages to increase their market coverage.

This study was the first empirical study to examine critical factors, such as product innovation, marketing, design and value cocreation strategies, and NPD performance by administering two-stage surveys. Enterprises can reference the proposed method according to their organizational resources and market advantages to develop products and services efficiently and face the ever-changing market.

This study aims to examine the effect of entrepreneurial skills, market orientation, sales orientations and networking on entrepreneurial competency and performance of micro-enterprises in Kelantan, Malaysia.

Adopting a cross-sectional design, this paper collected data through structured interviews from 403 micro-entrepreneurs from “Majlis Amanah Rakyat,” Kelantan and “Majlis Agama Islam dan Adat Istiadat,” Kelantan.

The findings reveal that entrepreneurial skills, market orientation and networking have a positive effect on entrepreneurial competency. Then, entrepreneurial competency, entrepreneurial skills and networking have a positive effect on enterprise performance. The findings show a significant mediation effect of entrepreneurial competency on the relationships between entrepreneurial skills, market orientation and networking and enterprise performance.

Addressing the understudied “human factor” in entrepreneurship, this paper extends the resource-based view and enriches the existing entrepreneurship literature in Malaysia. It provides useful insights into the improvement of micro-enterprise performance, which is crucial for promoting entrepreneurial activities and for enhancing socio-economic conditions among low-income households in Malaysia. Thus, the government and developmental organizations should focus on the development of entrepreneurial skills, market-oriented approach, networking traits and entrepreneurial competencies and subsequently encourage poor households to perform entrepreneurial activities.

With the rise of service economy, many companies are attempting to gain a competitive advantage through service innovation. However, the existing research has not drawn consistent conclusions about the relationship between service innovation and firm performance. Hence, the purpose of this paper is to provide a quantitative review on the service innovation-performance relationship based on research findings reported in the extant literature.

Studies from 46 peer-reviewed articles were sampled and analyzed. A meta-analytic approach was adopted to conduct a quantitative review on the relationship between service innovation and firm performance, and the effects of any potential moderators were further explored.

The results found that service innovation has a significant positive impact on firm performance. Additionally, the relationship between service innovation and firm performance is influenced by measurement moderators (economic region and performance measurement), and contextual moderators (firm type, innovation type, customer factors and attitudes toward risk).

The meta-analysis has been used to explore the relationship between service innovation and firm performance, and the findings have contributed to the literature on service innovation, as well as providing future research directions.

The purpose of this paper is to analyze the key influencing factors which affect the performance of M & A and the key influencing factors by establishing grey relational sequence model. The results can not only perfect the current existing theoretical system, but also provide theoretical guide for M & A practice.

First of all, this paper analyzes the M & A performance through the literature reviews, and then establishes the grey model about M & A performance from three influencing factors: profitability, operational and development capacity to analyze its key influencing factors which affect M & A performance. Furthermore, the key factors influencing of M & A performance are analyzed, the results can be obtained through the analysis of the grey relative degree based on six years’ data of state-owned enterprises.

In this paper, some results can be found that ownership restriction and executive compensation can significantly affect corporate profitability and operation ability. M & A and institutional investors can be affected greater from the perspective of development ability and profitability. In general, enterprise scale has little affect on the performance after M & A.

With the sustainable development of economic globalization, M & A has become an important strategy for the rapid growth of the enterprise, enlargement market and brand effect. But the performance after M & A in most enterprises does not improve. As the pillar of the national economy, state-owned enterprises have an important impact on China’s economic development and urgently need to be reformed.

This paper analyzes the key factors through establishing grey relative sequence model to analyze the correlation of M & A performance and influencing factors, and finds key influencing factors which affect the performance of M & A. The conclusion can provide policy guidance for the improvement of M & A performance in the future.

Intelligent manufacturing has attracted extensive attention from national strategy, academic research and enterprises' practices. The purpose of this study is to investigate the influence of intelligent manufacturing on performance in manufacturing firms. Moreover, how intelligent manufacturing technology affects enterprise performance, this study provided a practice that can be replicated by other businesses.

This study uses text mining to collect the intelligence level of Chinese listed companies. It uses quantitative analysis to test the proposed model based on samples of 2,091 manufacturers.

Intelligent manufacturing has positive effect on short-term performance and long-term performance. Intelligent manufacturing can empower firms with ambidextrous capabilities, including exploit capability and explore capability. Exploit capability has positive effects on short-term performance and long-term performance. Explore capability has negative effects on short-term performance, but has positive effects on long-term performance.

On the theoretical side, it enriches the research framework between intelligent manufacturing and enterprise performance. This study explains the preconditions and results of ambidextrous capabilities. Moreover, based on the practice-based view (PBV), this study proposes that technologies can be used as strategies, filling a gap in the existing research on strategic management. On the practical side, how to quantify the intelligent manufacturing level of enterprises provides a certain reference. Also, this study provides an easy to imitate practice that can serve as a model for under-performing enterprises.

Performance measurement and management (PMM) literature is highly abundant with numerous PMM frameworks encapsulating various aspects of enterprise performance that are largely driven by enterprise viewpoint. Considering dynamic nature of Indian telecom industry where customers hold high bargaining power in the industry, flexible strategy game-card has been adopted as a theoretical basis. The purpose of this study is to capture an “outside-in view” of enterprise performance by incorporating performance measurement from customers’ perspective and highlight dual perspectives of performance, i.e. enterprise and customers’.

Rigorous empirical data analysis tools have been used on the data collated through opinion survey to develop strategic performance management model for Indian telecom service providers where mediation effects of customers’-based strategic factors have also been captured.

The findings emphasize the fact that financial performance indicators are outcome variables that are driven by the external environment, internal organizational structure and business processes. An effective performance management system (PMS) should consist enabling performance indicators (customers’ perspective) in addition to leading and lagging performance indicators that are widely discussed in the literature.

The set of performance indicators identified is in the context of Indian telecom service operators, which should be used in another context with full caution. The generalization of the empirically validated strategic performance management model in other country context is limited. However, the process of development of PMS could be taken as an example to replicate in any other context.

Measuring an enterprise performance from customers’ perspective is the major contribution of this study. With the diverse set of performance indicators, effective PMS can be developed and deployed where tangible measures act as lagging indicators, namely, situational and operational, strategic measures act as leading indicators, and subscribers’ crucial assessment measures act as enabling indicators.