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Transformation to Industry 4.0 has become crucial for nations, and a coherent transformation strategy requires a comprehensive picture of current status and future vision. This study presents a comprehensive model for readiness assessment of nations based on rigorous analysis of several global indices and academic Industry 4.0 literature.

A holistic approach is taken considering overall socioeconomic development along with industrial innovation and seven readiness dimensions: enabling environment, human resource, infrastructure, ecological sustainability, innovation capability, cybersecurity and consumers. The indicators used for evaluation are standard metrics for which data are collected from reputed sources such as World Bank, United Nations Educational Scientific and Cultural Organization (UNESCO), World Economic Forum (WEF) and International Organization for Standardization (ISO), and hence internationally acceptable.

The formulated model is used to evaluate Industry 4.0 readiness of 126 economies that account for 98.25% of world’s gross national income. Observations show poor scores of most economies on innovation capability and cybersecurity dimension as compared to other 5 dimensions. In 75% countries, I4.0 readiness score is below 0.5 on a scale of 0–1(completely ready), highest being 0.65 for Denmark.

A systematic literature review revealed lack of assessment models discussing a nation's current status or readiness for Industry 4.0. This academic study is first of its kind.

The purpose of this research paper is to study the significant enablers for a competitive supply chain and analyze the relationships among them by using multi-criteria decision-making (MCDM) techniques. The supply chain (SC) managers will get better insights from the models of this study to design their SCs that are more competitive for competitive advantage.

After an extensive review of literature followed by experts' opinions, 21 significant enablers for a competitive SC (CSC) were selected for structural modeling using MCDM techniques of total interpretive structural modeling (TISM), Impact Matrix Cross-Reference Multiplication Applied to a Classification (MICMAC), followed by decision-making trial and evaluation laboratory (DEMATEL) approach.

Top management commitment is the most prominent causing enabler of a CSC; customer satisfaction is the topmost effect enabler; the operational performance of individual firms in the supply chain is a crucial enabler of a CSC.

The results and findings of this study would provide better insights to SC professionals and practitioners to comprehend the significant enablers of a CSC for designing and executing SC operations more competitively to achieve better customer satisfaction and sustainable business performance.

To the best of the authors’ knowledge, this is a foremost study focusing on the significant enablers of a CSC by utilizing the TISM along with MICMAC and DEMATEL methods. It is expected that this research will offer useful guidance for assessing and considering the SC enablers for achieving a CSC and facilitate new research in this area with more thrust.

This paper aims to gain empirical insights into the relationship between lean production and digitalization within Industry 4.0 from a process-theoretical perspective. Following an initial report at the European Lean Educators Conference 2021 conference, the authors searched for explanations as to why digital lean tools stagnate, whereas production improves continuously.

This paper is based on a qualitative case study in a Norwegian processing industry company over a period of 18 months from 2020 to 2022.

Process theory offers explanations of why digitalization and lean can change over time. Despite agile development, digitalization is still characterized by centralization and programmatic planning. Lean production is decentralized, with long-term and continuous change processes. This creates challenges for coordination between digitalization and lean.

Organizations should strive for coordination and collaboration between central and local decision makers and between digital and business process competence. Digital systems should have built-in flexibility for local setup, and local managers need sufficient competence to set up systems that are aligned with continuous improved production.

This study contributes empirical insights into real-life industry challenges to a literature that has until now been theoretical and focused on potential synergies.

This paper explores the relationships between Industry 4.0-driven technologies and the circular economy-driven business model (CEDBM) components of value creation, delivery and capture along manufacturing processes.

Based on the literature, a research model is developed in which the three CEBDM components are represented by five components: product service system (PSS), product design, industrial symbiosis (IS), consumer interaction and pay-per-use/rental. For each of these five components, enabling Industry 4.0 technologies are identified and vague interdependence relationships were assessed using a fuzzy decision-making trial and evaluation laboratory (DEMATEL) method.

This paper contributes to the literature by exploring the relationships of the CEDBM components of value creation, value delivery and value capture with Industry 4.0-driven technological enablers. In addition, causal relationships between Industry 4.0 technologies and their relevance for facilitating CE-enabled manufacturing processes are identified, and finally, Industry 4.0-driven technological enablers of CE are categorized as base and front-end technologies.

The findings suggest that value delivery-based differentiation provides new avenues for value creation and innovative forms of value capture in CEDBMs.

Practitioners can use the findings to develop a roadmap for Industry 4.0-driven technological solutions for CE.

CE-driven processes of manufacturing provide not only opportunities for value capture, creation and delivery but also avenues for customer-centric product and service development and effective resource utilization.

This paper is the first to identify value creation, delivery and capture processes along with Industry 4.0-enabled manufacturing processes.

The purpose of this paper is to present a comprehensive picture of the innovative efforts undertaken over time to develop the digital technologies for managing the interface between supply chain management and marketing processes and the role they play in sustaining supply chain management-marketing (SCM-M) integration from an information processing point of view.

Patent analysis and actual examples are used to carry out this study. In detail, first, the authors identify the subset of enabling technologies pertaining to the fourth industrial revolution (Industry 4.0) that can be considered the most relevant for effective SCM-M integration (i.e. Industrial Internet of Things, Cloud computing, Big Data analytics and customer profiling, Cyber security). Second, the authors carry out a patent analysis aimed at providing a comprehensive overview of the patenting activity trends characterizing the set of digital technologies under investigation, hence highlighting their innovation dynamics and applications.

This research provides insightful information about which digital technologies may enable the SCM-M integration. Specifically, the authors highlight the role those solutions play in terms of information acquisition, storage and elaboration for SCM-M integration by relying on illustrative actual examples. Moreover, the authors present the organisations more involved in the development of digital technologies for SCM-M integration over time and offer an examination of their technological impact in terms of influence on subsequent technological developments.

So far, much has been said about why marketing and supply chain management functions should be integrated. However, a clear picture of the digital technologies that might be adopted to achieve this objective has yet to be revealed. Thus, the paper contributes to the literature on SCM-M integration and Industry 4.0 by highlighting the enabling technologies for the Industry 4.0 that may particularly serve for managing the SCM-M interface from an information processing perspective.

Based on 3,775 firm-year observations from 2009 to 2013 using publicly available disclosure data for Korean listed firms, this study examines whether and how firm-level governance characteristics are associated with investment in internal auditing proxied by compensation and the number of statutory internal auditors.

The authors investigate the association between governance characteristics and investment in internal auditing proxied by compensation and the number of statutory internal auditors.

The authors find that firms with greater ownership of the largest shareholders and with a higher proportion of outside directors invest more in internal auditing. These results indicate that firms with higher incentive and demand for monitoring are more likely to invest more in internal auditing. The authors further find that the positive effect of the largest shareholder ownership (board independence) on investment in internal auditing is attenuated in firms with greater board independence (ownership of the largest shareholders) suggesting that the complementary effect of the two governance mechanisms associated with internal auditing weakens as they function simultaneously.

The results provide regulators and investors with a clear picture of the governance characteristics of firms associated with investment in internal auditing. The results imply that both the largest shareholders and the outside board of directors play a significant role in resource allocation in internal auditing within a firm. The effect of allocation, however, can be attenuated contingent upon the combined characteristics of governance mechanisms.

Using large amounts of public archival data, this study adds to the extant literature on firm characteristics associated with investment in internal auditing. This study also contributes to the literature by expanding the scope of research on executive compensation to the locus of statutory internal auditors.

With the growing concern of various sectors of society regarding environmental issues and the promotion of sustainable development, green technology innovation is generally considered to be conducive to the long-term development of enterprises. However, because of the existence of agency problems, managers may have shortsighted behaviors. Then how will managers' shortsighted behaviors affect enterprises' green technology innovation?

This paper uses machine learning-based text analysis methods to construct a manager myopia index based on the data from A-share listed companies on the Shanghai and Shenzhen Stock Exchanges from 2015 to 2020. We examine the impact of manager myopia on green technology innovation in companies.

Our study finds that manager myopia significantly inhibits green technology innovation in companies. However, when multiple large shareholders coexist and the proportion of institutional investors' holdings is high, it can alleviate the inhibitory effect of manager myopia on green innovation. Heterogeneity tests show that the impact of manager myopia on green technology innovation is relatively significant in non-state-owned and manufacturing companies, as well as in the electricity industry. Robustness tests demonstrate that our conclusions remain valid after using propensity score matching to eliminate endogeneity problems.

From the perspective of corporate governance, this paper incorporates managers' shortsightedness, multiple large shareholders and institutional investors' shareholding ratios into the same logical framework, analyzes their internal mechanisms, helps improve corporate governance, enhances green innovation capabilities and has strong implications for the implementation of national innovation-driven development strategies and the achievement of “carbon peak” and “carbon neutrality” targets.

Based on resource-based theory and intellectual capital theory, this paper aims to investigate the impact of digital investment on enterprise value and the mediating role of intellectual capital. Additionally, it explores the heterogeneous impacts of digital investment on enterprise value and intellectual capital.

The study utilizes a sample of listed companies in Chinese A-shares from 2013 to 2020. The entropy-weighted method is applied to measure digital investment from two dimensions: scale and increment. Finally, the research hypotheses are tested through multiple regression analysis.

The empirical results demonstrate that digital investment significantly and positively impacts enterprise value. From the channel mechanism test, digital investment can enhance enterprise value by influencing intellectual capital through human, structural and relational capital. Of these, the mediating effect of human capital is the most significant. Moreover, the impacts of digital investment on enterprise value and intellectual capital are related to the industry sectors. In the agricultural sector, digital investment has adverse effects. In the industrial and service sectors, digital investment promotes intellectual capital and enterprise value. However, in the service sector, the impact on relational capital is not significant, and the mediating effect of relational capital does not hold.

This research has a limited potential for generalization due to the lack of standard measurement models for the exploration of digital investment.

The research findings are valuable for assessing the economic effects of digital investment comprehensively and providing essential information for policy formulation and strategy implementation.

This study represents the first attempt to evaluate the relationship between digital investment and enterprise value using the entropy-weighted method. In addition, this study investigates the mediating role of intellectual capital.

Based on the principal–agent and stakeholder theories, this study aims to put forward an intermediary model to verify the intermediary role of corporate social responsibility (CSR) in executive equity incentives and corporate innovation performance to improve corporate innovation performance.

The 2012–2018 A-share listed companies’ disclosure of executive equity incentives data was used as the research sample. This study used CSR as an intermediary to explore the relationship between executive equity incentives and corporate innovation performance. A verification analysis was carried out.

The research results show that: a positive correlation exists between executive equity incentives and corporate innovation performance, and executives’ reasonable equity incentives can promote the growth of corporate innovation performance. A positive correlation exists between executive equity incentives and CSR. Implementing equity incentives for executives can stimulate their motivation to assume CSR. A positive correlation exists between CSR and corporate innovation performance. The more a company fulfills its social responsibility, the more it can promote the improvement of corporate innovation performance. CSR plays a mediating role between executive equity incentives and corporate innovation performance. CSR promotes executive equity incentives’ impact on corporate innovation performance and exerts a “complete mediating effect” between the two.

The number of samples and the time span of samples can be expanded in the future. This research has tested the mediating effect of CSR, but other mediating variables may play a role in the process of executive equity incentives in promoting corporate innovation performance. Further research should be conducted to explore the mediating effect of financing constraints and media attention on corporate innovation performance. This study only verifies the influence of equity incentives on CSR and innovation performance of senior executives. In the future, other incentive methods should be explored, such as salary incentives.

Foreign research on equity incentives has matured, but the experience of foreign countries cannot necessarily produce the expected effect in China. More than ten years have passed since the China A-share market began implementing equity incentives on December 31, 2005. As of December 31, 2017, about one-third of enterprises in the high-tech industry that had introduced equity incentives had stopped implementing the policy. Data from 2012 to 2018 were selected to analyze the relationship between executive equity incentives, CSR and corporate innovation performance to explore the influence mechanism of equity incentives. This study provides a comprehensive theoretical framework to examine the interaction among executive equity incentives, CSR and corporate innovation performance. Because most previous studies have focused on the relationship between executive equity incentives, CSR and corporate innovation performance, they are rarely been used as an intermediary variable to explore the impact of executive equity incentives on corporate innovation performance. This study explores the impact of executive equity incentives on corporate innovation performance under the influence of CSR. Moreover, this study explores the mediating role of CSR in corporate governance, which provides a new perspective for CSR research and verifies relevant literature on the mediating effect model.

Research countermeasures and suggestions: the research results are significant for enterprises implementing executive equity incentives, fulfilling CSR, enhancing corporate reputation, improving corporate innovation performance and ultimately obtaining market competitiveness. Therefore, the following suggestions are proposed: establish and improve the executive equity incentive mechanism and strengthen the promotion effect of executive equity incentives in CSR and corporate innovation performance. Strengthen the awareness of enterprises to actively fulfill CSR and give full play to the role of CSR in promoting corporate innovation performance. Improve the profitability of enterprises and focus on the promotion effect of enterprise profitability on corporate innovation performance.

This study focuses on executive equity incentives and introduces CSR as an intermediary variable to explore the influence path of executive equity incentives on corporate innovation performance. Based on the research results, this study takes targeted measures to improve corporate innovation performance and maintain its healthy growth of corporate innovation performance. This is significant in enhancing enterprises’ core competitiveness and promoting the enterprise economy’s sustainable development. Meanwhile, the enterprise has significant reference value in actively fulfilling its CSR and realizing its stable and healthy development.

This study aims to evaluate the impact of varying cultural dimensions, according to Hofstede, on corporate social responsibility (CSR) performance before and during the COVID-19 crisis.

This study examines the moderating impact of Hofstede’s cultural dimensions on the relationship between CSR and firm performance. The database comprises 36,295 firm-year observations from 2,135 firms operating in civil law countries.

The findings confirm that CSR investments have a positive impact on firm performance both before and after the COVID-19 crisis. Furthermore, it becomes evident that cultural dimensions play a moderating role in the CSR–firm performance relationship. The crisis has generated a shift in perspective, emphasizing the advantages of CSR in terms of reputation and financial well-being in the post-crisis environment.

The significance of this study lies in its examination of the relationship between CSR and firm performance within the framework of Hofstede’s cultural dimension theory, before and during the COVID-19 crisis.