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Prior studies have confirmed market segmentation as an important shackle to China's macroeconomy upgrade, but the systematic analysis of microenterprise upgrade remains inadequate. This paper aims to investigate the nonlinear impact of market segmentation on microenterprise upgrade.

The price method was applied to calculate China's provincial market segmentation, including commodity, capital, labor and energy. The generalized method of moments was employed to examine the nonlinear impact of market segmentation on the upgrading of manufacturing enterprises based on microenterprise data from 2003 to 2019.

First, China’s heterogeneous market segmentations have been significantly reduced. Macroeconomics and policies are critical factors in market integration. Second, there is an inverted U-shaped relationship between China’s total market segmentation and the upgrading of manufacturing enterprises. Third, the relationship between the commodity market segmentation, labor market segmentation, energy market segmentation and manufacturing enterprises' upgrade is shown as an inverted U-shaped. Nevertheless, the relationship between the capital market segmentation and upgrading of manufacturing enterprises exhibits a U-shape.

The impact of market segmentation on the upgrading of manufacturing enterprises in China performs nonlinearly. An inverted U-shaped relationship exists between market segmentation in commodity, labor and energy and the upgrading of manufacturing enterprises, while a U-shaped relationship prevails between capital market segmentation and the upgrading of manufacturing enterprises.

The purpose of this paper is to econometrically examine whether indigenous enterprises can upgrade under open economy by using micro-firm data.

In order to make clear the impact of outward development on the indigenous manufacturing export enterprises' productivity from micro level and to propose policy recommendation, the research group selected indigenous manufacturing export enterprises in Kunshan China as research objects and made a large-scale survey. Based on micro-firm data from survey, the paper carries out empirical analysis.

After controlling some other variables including innovation activity, human capital and enterprises scale, empirical result shows that export activity, establishing connections with FDI enterprises, industry clusters formed under open economy all have significant and positive effect on upgrading of indigenous enterprises.

This paper is the first to use micro-firm data obtained from survey to examine factors affecting indigenous enterprises' upgrading capability of China.

Enterprise systems (ES) upgrade is a complex phenomenon, yet it is possible to reduce the complexity through understanding of the upgrade drivers. The purpose of this paper is to investigate the various upgrade drivers, in order to provide a detailed understanding of the factors driving upgrade decisions.

This research is grounded in a qualitative survey design. It utilises a web-based survey questionnaire and semi-structured interviews to collect data from 41 respondents representing 23 large organisations. The data were qualitatively analysed and coded to identify the various drivers and their influence on ES upgrade decisions.

The findings suggest that the upgrade decisions are dependent on establishing the need to upgrade, which is influenced by various drivers and stakeholders interests. In addition, the findings suggest that organisations would only opt to upgrade when benefits are aligned with the upgrade and when the decision makes business sense.

In this paper, the authors propose that there is a relationship between the upgrade drivers and the upgrade strategy. However, qualitative studies can only formulate logical generalisations. Hence, future research could explore these associations through a quantitative study in order to provide probabilistic generalisation that offers either similar or conflicting arguments applicable to ES upgrade phenomenon.

This paper provides an alternative classification of upgrade drivers, and conceptualises an association between upgrade drivers and the upgrade strategy, which in turn facilitates minimising disruptions and upgrade risks.

This study examines how dynamic capabilities (DCs) impact global value chain (GVC) upgrading and assesses the mediating role of innovation.

The study uses a quantitative research method. The data are collected using an online questionnaire administered to respondents working in Chinese automobile manufacturers in China and Laos. The data are analyzed using structural equation modeling (SEM) and related software.

The results show that DCs and innovation capabilities (ICs) positively affect GVC upgrading and that ICs plays a mediating role between DC and GVC upgrading. Dynamic capabilities evolution (CE) mediates the relationship between DCs, ICs and GVC upgrading. Finally, differences exist in the effects of the three dimensions of DCs on ICs and GVC upgrading.

Focusing on the absorption and transformation of knowledge, enterprises could experience a clear enhancement of IC and CE and be more likely to obtain higher marginal returns. The study provides insights for emerging market firms to gain higher added value in internationalization.

This study demonstrates that different dimensions of DCs have different effects on GVC upgrading. In terms of theory, the impact of IC is considered in terms of the mediating effect of CE on IC. Differences are highlighted concerning the impact of learning capability, integrating and coordinating capability and sensing capability on the mediated relationships.

In confronting the challenge of climate change and progressing towards dual carbon goals, China is actively implementing low-carbon city pilot policy. This paper aims to focus on the potential impact of this policy on enterprise green governance, aiming to promote the reduction and balance of carbon emissions.

Based on the panel data of China's large-scale industrial enterprises from 2007 to 2013, this paper uses the Difference-in-differences (DID) method to study the impact and path mechanism of the implementation of low-carbon city pilot policy on enterprise green governance. Heterogeneity analysis is used to compare the effects of low-carbon city pilot policy in different regions, different enterprises and different industries.

The low-carbon pilot can indeed effectively enhance corporate green governance, a conclusion that still holds after a series of robustness tests. The low-carbon city pilot policy mainly enhances enterprise green governance through two paths: an industrial structure upgrade and enterprise energy consumption, and it improves green governance by reducing enterprise energy consumption through industrial structure upgrade. The impact of low-carbon city pilot policy on enterprise green governance shows significant differences across different regions, different enterprises and different industries.

This paper examines the impact of low-carbon city pilot policy on enterprise green governance. However, due to availability of data, there are still some limitations to be further tackled. The parallel trend test in this paper shows that the pilot policy has a significant positive effect on the green governance of enterprises. However, due to serious lack of data in some years, the authors only selected the enterprise data of a shorter period as our experimental data, which leads the results to still have certain deficiencies. For the verification of the impact mechanism, the conclusions obtained in this paper are relatively limited. Although all the mechanism tests are passed, the reliability of the results still needs to be further tested through future data samples. In addition, as the pilot policy of low-carbon cities is still in progress, the policy can be tracked and analysed in the future as more data are disclosed, and further research can be carried out through dimensional expansion.

Low-carbon city pilot policy plays an important role in inducing the green governance of enterprises. Therefore, policy makers can continue to strengthen the construction of low-carbon city pilots by refining pilot experience, building typical cases, actively promoting pilot policy experience, expanding pilot scope and enhancing the implementation efficiency of pilot policy nationwide, which will contribute to the optimization and upgrading of the regional industrial structure at the urban level and will provide experience and reference for the synergistic implementation plan of pollution reduction and carbon reduction.

The impact of the low-carbon city pilot policy on enterprise green governance not only exists in two separate paths of urban industrial upgrading and enterprise energy consumption but also exists in a chain transmission path from macro to micro. The authors find that the effect value of each influence path is different, and there is an obvious leading influence path for the role of enterprise green governance. Therefore, in the process of implementing a low-carbon city pilot policy, policies should be designed specifically for different mechanisms. Moreover, complementing and coordinating several paths should be advocated to give full play to the green governance effect of enterprises brought by different paths and to further expand the scope of industries and enterprises where policies play a role.

To the best of the authors’ knowledge, for the first time, this paper connects macro mechanisms with micro mechanisms, discovering a macro-to-micro transmission mechanism in the process of low-carbon city pilot policy affecting enterprise green governance. That is, the low-carbon city pilot policy can facilitate industrial structure upgrading, resulting in reduced enterprise energy consumption, ultimately enhancing enterprise green governance.

Enterprise systems (ES) upgrade is fundamental to maintaining a system’s continuous improvement and stability. However, while the extant literature is replete with research on ES upgrade decision-making, there is scant knowledge about how different decision processes facilitate this decision to upgrade. This paper aims to investigate and better understand these processes from an organisational perspective.

The study adopted a qualitative survey design, and used a Web-based questionnaire and semi-structured interviews to collect data from 23 large organisations. Data accrued were qualitatively analysed and manually coded to identify the various decision processes undertaken during ES upgrade decisions.

Analysis results reveal complex interrelations between the upgrade drivers, the need to evaluate the new version’s functionality and the upgrade impact. Understanding the interaction between these elements influences the upgrade decision process.

The study proposes ES upgrade processes that support a decision to upgrade major releases. Further research is required to offer either similar or conflicting arguments on the upgrade decision-making and provide a probabilistic generalisation of the decision-making processes.

The research offers a comprehensive and empirically supported methodical approach that embraces an evaluation of a new version’s functionality, technical requirements and concomitant upgrade implications as intrinsic decision processes. This approach assists in the decisions to establish the upgrade need and determine the level of change, effort required, impacts and associated benefits.

Enterprise systems (ES) upgrade is a complex undertaking that recurs throughout the systems’ life span, therefore, organisations need to adopt strategies and methodologies that can minimise disruptions and risks associated with upgrades. The purpose of this paper is to explore the processes undertaken during upgrading ES, to identify the upgrade project stages.

This research is grounded in a qualitative survey approach, and utilises a web-based survey questionnaire and semi-structured interviews as methods for data collection. The data were gathered from 41 respondents’ and analysed using qualitatively inductive content analysis principles to derive meaning and to identify the trends about upgrade processes.

The study findings stress the importance of adopting a methodical approach to ES upgrades. Also, it suggests that due consideration should be given to the impact of new version features and functionality, the risks and the effort required for supporting upgrade projects.

The five-stage upgrade process model can be utilised as a strategy to minimise complexity and risks associated with upgrade projects. However, this study only proposes logical generalisations; therefore, future studies could explore these stages in-depth to offer generalisable arguments applicable to ES upgrade phenomenon.

The study proposes a five-stage upgrade process model that offers a systematic approach to support upgrade projects. The proposed model extends previous models by proposing alternative strategies to support ES upgrade projects.

This paper evaluates the level of the digital economy in Chinese cities based on digital industrialization and industrial digitalization. The research focuses on the effects of spatial mechanism of the urban digital economy on the quality of firms’ exported products.

The authors use the principal component analysis method to evaluate the level of China’s urban digital economy, and spatial metrology to measure the spatial effects of the digital economy on product quality.

The findings suggest that the urban digital economy can expand the quality of firms’ exports. The digital economy has spatial dependence, spatial spillover and spatial heterogeneity on product quality. At the same time, the spatial effect has a significant nonlinear effect and threshold effect. Further decomposition shows that industrial digitalization is the core factor of enterprises’ export products quality, and the micro-mechanism of this impact is mainly manifested in optimization of resource allocation.

The innovation of this paper is reflected explicitly in exploring the quality upgrading of export products from the background of the digital economy, providing a reference for the improvement of China’s export trade competitiveness and the cultivation of a trade power. The authors studied two different mechanisms (specialization division of labor and optimization of resource allocation) to explain the spatial imbalance of export product quality to provide empirical support for enterprises and government departments to formulate quality upgrading policies accurately.

Upgrading in global value chains (GVCs) has become a crucial strategy for enhancing competitive advantage and attaining higher profitability, especially among firms in developing countries. Drawn from the sociological approach, this study treats GVC upgrading as an entrepreneurial act and examines factors affecting firms' intention to move up in their chains based on the theory of planned behavior. The authors also further test the moderating effects of firms' knowledge about rule of origin and governmental supports on the intention-behavior gap.

In-depth interviews with eight Vietnamese business managers were implemented to support the development of hypotheses and measurement scales. Afterwards, the authors conducted a survey on decision-makers of 402 Vietnamese firms which currently have export-import activities to collect quantitative data for testing the hypothesized relationships.

The empirical results indicate that both attitudes, behavioral control and social norms have significant positive impacts on the intention to upgrade in GVCs. In turn, such intention could further activate actual behaviors to move up in their chains. However, those who have better knowledge about rule of origin and receive governmental supports either in terms of finance, credit or technology have a higher probability of demonstrating actual behavior to upgrade in GVCs once their intentions are formed than those who do not.

This research provides valuable implications for policymakers in accelerating firms' actions to upgrade within their chains, hence, actively enhancing not only organizational performance but also significantly contributes to the national economic development.

While most of the previous studies examine the preconditions for firms to participate and upgrade in their GVCs, there is limited attention on determinants of firms' own intention and actual behavior to upgrade in their chains once they have participated in the GVC. Specifically, this research not only contributes to the existing knowledge regarding factors affecting firms' intention to upgrade in their chains but also closes the gap between the intention and the actual GVC upgrading behavior.

In the last years the penetration of enterprise resource planning (ERP) systems within small, medium and large organizations increased steadily. Organizations are forced to adapt their systems and perform ERP upgrades in order to react to rapidly changing business environments, technological enhancements and rising pressure of competition. The purpose of this paper is to focus on the critical success factors for such projects.

The paper is based on a literature review and qualitative interviews with CEOs, CIOs, ERP consultants and project managers who recently carried out ERP upgrade projects in their respective organizations.

This paper identifies 14 critical success factors for ERP upgrade projects. Amongst others, effective project management, external support, the composition of the ERP team and the usage of a multiple system landscape play a key role for the success of the ERP upgrade. Furthermore, a comparison to the critical success factors for ERP implementation projects was conducted, and even though there are many similarities between these types of projects, several differences emerged.

ERP upgrade projects have a huge impact on organizations, but their success and antecedents for it are currently under-researched.