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The purpose of this study is to explore the mechanism of digitalized transformation in organizations’ human resource management (HRM). This study summarizes three basic factors driving the digital transformation process in China: level of perception, level of application and speed of transformation.

This study analyzes the strategic transformation process of HRM in Haier, Hisense and Chambroad to explore the human resource digital transformation mechanism in Chinese enterprises.

The results of this study show that three HR value chain models can be constructed based on how well HRM deals with business: the efficiency-oriented HRM value chain, quasi-business-oriented HRM value chain and business-oriented HRM value chain. The basic factors – level of perception, level of application and speed of transformation – are observed in the entire HRM digital transformation process.

This study provides theoretical and empirical insights for enterprises to explore the value of digital technology in HRM and facilitate the digital transformation of HRM.

3D printing has been warmly welcomed by clothing enterprises for its customization capacity in recent years. However, such clothing enterprises have to face the digital transformation challenges brought by 3D printing. Since the business model is a competitive weapon for modern enterprises, there is a research gap between business model innovation and digital transformation challenges for 3D-printing garment enterprises. The aim of the paper is to innovate a new business model for 3D-printing garment enterprises in digital transformation.

A business model innovation canvas (BMIC), a new method for business model innovation, is used to innovate a new 3D-printing clothing enterprises business model in the context of digital transformation. The business model canvas (BMC) method is adopted to illustrate the new business model. The business model ecosystem is used to design the operating architecture and mechanism of the new business model.

First, 3D-printing clothing enterprises are facing digital transformation, and they urgently need to innovate new business models. Second, mass customization and distributed manufacturing are important ways of solving the business model problems faced by 3D-printing clothing enterprises in the process of digital transformation. Third, BMIC has proven to be an effective tool for business model innovation.

The new mass deep customization-distributed manufacturing (MDC-DM) business model is universal. As such, it can provide an important theoretical reference for other scholars to study similar problems. The digital transformation background is taken into account in the process of business model innovation. Therefore, this is the first hybrid research that has been focused on 3D printing, garment enterprises, digital transformation and business model innovation. On the other hand, business model innovation is a type of exploratory research, which means that the MDC-DM business model’s application effect cannot be immediately observed and requires further verification in the future.

The new business model MDC-DM is not only applicable to 3D-printing garment enterprises but also to some other enterprises that are either using or will use 3D printing to enhance their core competitiveness.

A new business model, MDC-DM, is created through BMIC, which allows 3D-printing garment enterprises to meet the challenges of digital transformation. In addition, the original canvas of the MDC-DM business model is designed using BMC. Moreover, the ecosystem of the MDC-DM business model is constructed, and its operation mechanisms are comprehensively designed.

Digital transformation and innovation-driven development have become an international consensus. The purpose of this paper is to examine the effects of relationships, mechanisms and economic consequences between digital transformation and enterprise innovation quality in order to provide a benchmark for developing countries to implement digital transformation strategies and innovation-driven strategies and provide a major support for economic recovery in the post-coronavirus disease 2019 (COVID-19) era.

Using microdata from A-share listed enterprises in Shanghai and Shenzhen from 2010 to 2021, this study examines the relationship between digital transformation and enterprise innovation quality and further reveals the internal logic and economic consequences of digital transformation to improve enterprise innovation quality through the mediating effect and moderating effect models.

The results demonstrate that digital transformation is beneficial for improving enterprise innovation quality. The heterogeneity test demonstrates that digital transformation has a larger effect on improving enterprise innovation quality in non-state-owned enterprises and eastern enterprises in China. The mechanism test demonstrates that digital transformation can improve enterprise innovation quality by improving internal control quality and analyst attention. Furthermore, with the increase in enterprise innovation inputs, digital transformation plays a significantly stronger role in improving enterprise innovation quality. The extended analysis demonstrates that digital transformation can significantly improve enterprise financial performance by improving innovation quality.

First, the construction of the core explanatory variable digital transformation index in this study is based on the Python data analysis software, which calculates the frequency of digital transformation in the text of the business situation analysis portion of the annual report of the listed companies and then obtains the degree of digital transformation of the company in this year. There may be some deviation from the degree of digital transformation in the actual production and operation of enterprises. Second, in addition to internal control quality and analyst attention, are there other mediating mechanisms for the impact of digital transformation on the quality of enterprise innovation? Third, whether the moderating effect of innovation input on digital transformation and innovation quality is related to human capital factors of the research and development (R&D) team, such as the technical background of R&D personnel, etc.

This study enriches the relevant theories of digital transformation and broadens the research boundaries of digital transformation and enterprise innovation. This study's result provides an empirical basis for enterprises to improve enterprise innovation quality and financial performance from the perspective of digital transformation at the micro level and points out specific practical directions, combining theory with practice.

Corporate digital transformation (CDT) has challenged traditional tax administration systems. This study examines the impact of CDT on tax avoidance behavior and tests whether tax authorities can identify this behavior.

Using data on listed companies on the Shanghai and Shenzhen Stock Exchanges from 2008 to 2020, this study applies the Heckman two-stage and cross-section models.

The results show that the higher the degree of CDT, the more aggressive the tax avoidance behavior. The CDT's impact on corporate tax avoidance is more significant under strong government tax efforts.

This study expands research on the economic consequences of CDT and the factors influencing corporate tax avoidance behavior. Moreover, it has important implications for governments to monitor tax avoidance behavior under the CDT, improve digital tax systems, and pay more attention to the tax administration of digital assets.

The purpose of this study is to explore how government subsidies influence technology innovation in new-energy enterprises in the new era of Industry 4.0. Specifically, this study investigates the mediating effect of digital transformation and the moderating effect of a top management team (TMT) with digital experience.

Using a sample of 225 listed new-energy companies, with annual information, patent data, and financial data for the years 2010–2020, this study employs panel fixed effect regression models to obtain the results.

This study finds strong evidence that government subsidies promote the technology innovation of new-energy enterprises, and digital transformation partially mediates the effect of government subsidies on technology innovation. In addition, a TMT's digital experience moderates the effect of government subsidies on digital transformation, but has no significant moderating effect on the relationship between digital transformation and technology innovation. Further analysis shows that subsidies make a sustained contribution to both digital transformation and technological innovation over the next two years. The digital subsidies have a stronger role in promoting digital transformation and further technological innovation through digital transformation.

The Chinese government needs to continue to intermittently increase subsidies for new-energy enterprises, and focus on guiding enterprises' digital transformation. Chinese new-energy enterprises should pay attention to the importance of having TMTs with digital experience, make full use of government subsidies, actively implement digital transformation, and improve their innovation levels.

A new conceptual framework is proposed to examine the relationships between government subsidies, digital transformation, a TMT's digital experience, and technology innovation. This paper provides an important theoretical basis and practical reference for improving the technology innovation ability of Chinese new-energy enterprises, and the high-quality development of renewable energy in the context of Industry 4.0.

Business process management (BPM) has been discussed in much literature as a crucial approach to achieve firm-enterprise business performance, however in term of digital business transformation to face the current digital enterprise business era, there is still much to be explored. Drawing sociotechnical perspective of ETHICS theory, the study develops and conceptualize information technologies/systems (IT/IS) proactive capability and socialization-codification knowledge process that produce business transformation process in digital-based era.

Of the 173 company-enterprise respondents in Indonesia, the authors empirically test and validate the conceptual model using structural equation model tool-SmartPLS and SPSS statistical. The enterprise respondents were manufactures industry, construction services, hardware and software, plantation and agriculture, financial and insurance services, and other retail trade.

The authors found different findings of mediating effect and direct relationship effect. Socialization knowledge process has directly influence IT/IS proactive capability and enterprise digital business transformation. Codification knowledge process has successfully support IT/IS proactive capability, but unsupported correlation on enterprise digital business transformation. Also, IT/IS proactive capability positively influence enterprise digital business transformation. Enterprise business process suffers when the firm transform their business process into digital-based only using codification knowledge practices because documented knowledge (codification type) is not strong enough to help company in the way of enterprise digital business transformation. Mediating role show IT/IS proactive capability is crucial approach for enterprise business transformation to maximize codification knowledge practices. The findings present one fully supported results of mediation role through IT/IS proactive capability. A stronger support for enterprise IT/IS strategy in company, a high opportunity for codification knowledge practices to improve the digital ways to transform the enterprise business process. In short, the results can guide enterprise managers on how to manage their knowledge resources and maximizing emerging technologies to achieve enterprise digital business transformation.

The authors acknowledged that future studies would be worthwhile to create, develop and strengthen the model and its related foundation. Future research may try different concept/theory that applicable in enterprise digital business transformation. Also, an opportunity for future study is how enterprise digital business transformation in different context of industries with the current emerging technologies (e.g. IoT, big data, AI).

This study offers a theoretical and conceptual framework to the applicable digital-based within enterprise business transformation context. A knowledge/novel contribution of this study is the integration of a sociotechnical that highly relevant and drives enterprise digital business transformation. This study also is an effort to combine some areas such as business transformation strategy, knowledge-intensive business services, knowledge management and IT/IS.

The existing research rarely explains the role of dynamic capabilities in the creation of value co-creation behaviors. The purpose of this paper is to explore how dynamic capabilities play a role in avoiding value co-creation traps and generating new value co-creation behaviors.

This paper collects rich interview and archival data from two Chinese manufacturing companies to examine value co-creation in digital servitization by the case study.

The paper discovers the value co-creation traps that enterprises face in digital servitization and analyzes the important role of resource and technology integration capabilities in avoiding these traps. Also, the research explores how network capability affects the generation of new value co-creation behaviors.

This paper develops a framework for dynamic capabilities to avoid value co-creation traps and generate new value co-creation behaviors.

This study aims to explore the business models and strategies of digital enterprises in a developing economy context to understand the nature of their operations, as well as their survival tactics.

A review of literature on digital enterprise models led to the adaptation of a 16 business model archetype for analyzing digital enterprises in Ghana. Using a critical realism perspective, survey data from a sample of 91 digital enterprises were used for the study.

The findings suggest that among human, physical and intangible assets, financial assets were the least used assets in the operations of the digital enterprises. This stems from the fact that the online financial business sector is still in its nascent stages in most developing economies. The findings further suggest that all digital enterprises leverage on accessible and low-cost social networking services as part of their operations and use them as an avenue to engage with their target customers.

The findings from this study provide guidelines to entrepreneurs who wish to venture into the digital ecosystem of Ghana, particularly with regard to the economic, financial and technological factors that enable digital enterprises to survive in the competitive digital economy.

The findings suggest that it is important for governments to realize that there is an increasing rise in digital enterprises in the developing economies and these enterprises are creating jobs and providing business solutions locally that would hitherto be sought from developed economies. There is therefore the need for the requisite legal infrastructure and financial support that will cushion these enterprises from the fierce competitions that stagnate their growth.

The study provides a mapping of the digital business models of Ghanaian digital enterprises. This knowledge is arguably the first of its kind in the context of a developing economy. Hence, it serves as a stepping-stone for future studies to explore other areas in the digital economy, especially from a developing economy perspective.

Existing studies have paid less attention to the impact of knowledge accumulation on digital transformation and its boundary conditions. Hence, this study aims to investigate the effects of ambidextrous knowledge accumulation on manufacturing digital transformation under the moderation of dynamic capability.

This study divides knowledge accumulation into exploratory and exploitative knowledge accumulation and divides dynamic capability into alliance management capability and new product development capability. To clarify the relationship among ambidextrous knowledge accumulation, dynamic capability and manufacturing digital transformation, the authors collect data from 421 Chinese listed manufacturing enterprises from 2016 to 2020 and perform analysis by multiple hierarchical regression method, heterogeneity test and robustness analysis.

The empirical results show that both exploratory and exploitative knowledge accumulation can significantly promote manufacturing digital transformation. Keeping ambidextrous knowledge accumulation in parallel is more conducive than keeping single-dimensional knowledge accumulation. Besides, dynamic capability positively moderates the relationship between ambidextrous knowledge accumulation and manufacturing digital transformation. Moreover, the heterogeneity test shows that the impact of ambidextrous knowledge accumulation and dynamic capabilities on manufacturing digital transformation varies widely across different industry segments or different regions.

First, this paper shifts attention to the role of ambidextrous knowledge accumulation in manufacturing digital transformation and expands the connotation and extension of knowledge accumulation. Second, this study reveals that dynamic capability is a vital driver of digital transformation, which corroborates the previous findings of dynamic capability as an important driver and contributes to enriching the knowledge management literature. Third, this paper provides a comprehensive micro measurement of ambidextrous knowledge accumulation and digital transformation based on the development characteristics of the digital economy era, which provides a theoretical basis for subsequent research.

This study investigates the relationships among digital transformation, technological innovation, industry–university–research collaborations and labor income share in manufacturing firms.

The relationships are tested using an empirical method, constructing regression models, by collecting 1,240 manufacturing firms and 9,029 items listed on the A-share market in China from 2013 to 2020.

The results indicate that digital transformation has a positive effect on manufacturing companies’ labor income share. Technological innovation can mediate the effect of digital transformation on labor income share. Industry–university–research cooperation can positively moderate the promotion effect of digital transformation on labor income share but cannot moderate the mediating effect of technological innovation. Heterogeneity analysis also found that firms without service-based transformation and nonstate-owned firms are better able to increase their labor income share through digital transformation.

This study provides a new path to increase the labor income share of enterprises to achieve common prosperity, which is important for manufacturing enterprises to better transform and upgrade to achieve high-quality development.