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The implementation of the digital economy has had a considerable influence on the manufacturing industry, and this paper aims to address the important issues of how to capture the opportunities presented by digital innovation and promote the transformation and upgrading of the manufacturing industry, as well as the improvement of quality and efficiency.

Using panel data from 30 Chinese provinces and cities between 2010 and 2021, this study establishes the panel vector autoregression (PVAR) model and uses impulse response function analysis to evaluate the influence of the digital economy on the high-quality transformation and upgrading of China's small home appliance industry across five dimensions under the digital economy.

The development of digital infrastructure has not demonstrated a noteworthy capacity for advancing the transformation and upgrading of the small home appliance industry. Furthermore, digital industrialization has exerted a minimal restraining influence on this process. Nevertheless, digital governance has consistently exhibited a substantial impact on facilitating the transformation and upgrading of the small home appliance industry. While both industrial digitization and digital innovation hold significant potential for promoting the transformation and upgrading of the small home appliance industry, their sustainability remains limited.

The organization should logically join independent innovation and open innovation, construct an industrial ecosystem for the profound convergence of the digital economy and compact household appliances, use digital-wise science and technology to empower the establishment of brand effects, strengthen the portrayal of the digital standard framework for the intelligent compact household appliance industry, advance the development of a public stage for computerized administrations in the compact household appliance industry and develop a strategy ecosystem for computerized assets in the compact household appliance industry.

This study offers systematic evidence of the relationship between the digital economy and the development of the small home appliance industry. The results of this research contribute to the literature on the impact of the digital economy on the manufacturing sector and provide a logical explanation for the transformation and upgrading of the small home appliance industry within the context of the digital economy.

Expansion of the consumption of renewable energy is a significant issue for reducing global warming, to cope with climate change and achieve sustainable development. This study aims to examine how research and development expenditure (R&D) affects renewable energy development in developed G-7 countries over the period from 2000 to 2019. Variables of trade liberalization and CO₂ emissions are considered control variables.

This study has adopted a panel quantile regression. The impact of the variables on renewable development has been examined in quantiles of 0.1, 0.25, 0.5, 0.75 and 0.9. Also, a robust examination is accomplished by applying generalized quantile regression (GQR).

The empirical findings reveal a positive and significant relationship between R&D and the consumption of renewable energy in 0.1, 0.25, 0.5 and 0.75 quantiles. Also, the findings describe that the expansion of trade liberalization and CO₂ emissions can significantly increase the development of renewable energy in G-7 countries. Furthermore, GQR verifies the main outcomes.

These results have very momentous policy consequences for the governments of G-7 countries. Therefore, investment and support for the R&D section to promote the development of renewable energy are recommended.

This paper, in comparison to other research, used panel quantile regression to investigate the impact of factors affecting renewable energy consumption. Also, to the best of the authors’ knowledge, no study has perused the effect of R&D along with trade liberalization and carbon emissions on renewable energy consumption in G-7 countries. Also, in this paper, as a robustness check for panel quantile regression, the GQR has been used.

The purpose of this study is to scrutinize the extent of forward-looking (FL) disclosures and explore the impact of corporate governance (CG) on FL disclosures in integrated reporting (IR) in the context of the banking industry in Bangladesh.

Twenty-two listed banks in the Dhaka Stock Exchange (DSE) are selected as a sample from 2018 to 2022. For content analysis purposes, the study has developed an unweighted self-constructed disclosure index with 58 items and extracted data manually from the integrated annual report. Furthermore, descriptive statistics is conducted to analyze the extent of FL disclosures, and a pooled ordinary least squares regression model is used to examine the impact of CG (directors’ ownership, institutional ownership, foreign ownership, board of directors, independent directors, female directors and audit quality) on the FL disclosures.

This study reveals that the banking industry’s average FL disclosure score is only approximately 43%, indicating a meager degree of disclosures in Bangladesh’s well-structured sector. This study also finds that directors’ ownership, foreign ownership, female directors and audit quality have a statistically significant and positive relationship with FL disclosures at a 5% significance level. By contrast, institutional directors and the board of directors have a substantial but negative impact on FL disclosures. However, the other exponential variable, independent directors, has no impact on FL disclosures.

This study has some limitations, such as: i) the sample size is restricted to 22 banks, whereas nearly 36 banks are listed in the DSE. The sample size should be increased for better results. ii) The study only considers the banking sector with a small sample, but other sectors have been omitted from the sample. iii) The data have been extracted from the annual report, but other relevant sources such as banks’ websites, prospectuses, press releases, and media releases are not considered. iv) Finally, the self-constructed unweighted disclosure index is affected by subjective judgment. For depth analysis, a weighted method for content analysis purposes will be applicable.

Since there is no specific guideline for FL disclosures, this study suggests that the practical implication is for the regulatory body and policymakers to take the initiative to design a framework for FL disclosures that will improve disclosure quality. Second, they can investigate the independent director’s role in the banking sector to discover the existence of old-boy network problems.

Investors will benefit from the proper judgment about the firm’s forward-looking disclosures, hence making effective decisions.

To the best of the authors’ knowledge, no particular study has been conducted on CG mechanisms and FL disclosures in the IR perspective of the banking sector in Bangladesh. So, this study may contribute to the existing literature.

The impact of digitalisation on smaller firms remains sparsely studied across emerging economies. The paper aims to examine the relationship between digital adoption and multiple performance parameters of micro, small and medium enterprises (MSME) in a prominent emerging economy.

The study employs data from the World Bank Enterprise Survey (WBES) 2022, capturing 9,024 Indian MSME firms spread across the country. Performance indicators are derived from growth in sales, employment and labour productivity (LPROD). Multiple regression estimates are derived that also correct for sample selection bias using Heckman’s two-step process.

Digital proliferation is found to increase as firms mature up in terms of age, size and constitution. A significant difference could also be observed in business performance across digital and non-digital businesses, with sales growth (SG) and productivity higher for digital firms. Digital financial variables are found to have a significant impact on SG but not as much in the case of employment growth and LPROD. The results are robust to correction for sample selection bias in digital adoption using inverse mills ratio (IMR).

The study highlights digital adoption gaps across various strata of MSMEs, highlighting lower adoption when firms are younger, smaller and lacking formal constitutional setup. Digital variables indicating positive association with SG highlight the need for concerted efforts at the public policy level for building appropriate skills and infrastructure for micro and small enterprises to boost their digital adoption to promote growth.

There is a lack of micro-level empirical evidence measuring the impact of advanced digital technology usage on multiple aspects of enterprise performance amongst micro and small firms. The study deploys unique digital variables including TReDS and use of online credit applications to assess the impact on business performance. The findings provide insights for practice and public policy, besides making the case for a higher focus on launching digital initiatives for smaller enterprises.

This study aims to explore the challenges and opportunities of adopting Industry 4.0 technologies in Africa, specifically focusing on the automotive industries in Morocco and Nigeria. By comparing these two leading African countries in Industry 4.0 adoption, the research seeks to identify key factors influencing the implementation of smart manufacturing technologies and to provide insights into the potential benefits and challenges faced.

The research uses a multiple case study design with a quantitative approach, collecting data through structured questionnaires from 167 participants across five automotive companies in Morocco and Nigeria. Regression analysis assessed the impact of opportunities and challenges. Statistical analysis identified significant differences between the two countries.

The study reveals significant differences in the perceived challenges and benefits of Industry 4.0 adoption between Morocco and Nigeria. In Morocco, key challenges include high implementation costs and resistance to change, whereas, in Nigeria, lack of skilled workforce and high implementation costs are predominant barriers. Both countries recognize the benefits of improved productivity, better product quality and enhanced supply chain agility.

While focused on two countries and the automotive industry, the study provides valuable insights into Industry 4.0 adoption in Africa, with potential for expanded future research.

The insights provided by this study can guide policymakers in developing tailored strategies to support Industry 4.0 adoption in Africa. For organizations, understanding the specific challenges and benefits can aid in designing effective Industry 4.0 implementation plans, enhancing competitiveness and achieving sustainable growth.

By providing a comparative analysis of Morocco and Nigeria, the study offers unique insights into the specific factors influencing Industry 4.0 implementation in different African contexts with differences between North and West of Africa.

This study aimed to explore the relationship between supply chain resilience (SCR) and organizational performance (OP), with innovation (INN) serving as a mediator and information sharing (IS) acting as a moderator.

The study comprehensively examined the connections between SCR, OP, INN and IS. An exploratory approach and quantitative methods were employed. The data were collected from small and medium-sized manufacturing enterprises of three cities Xian, Hainan and Guangzhou of China via online questionnaire surveys conducted through Emails and WeChat. SmartPLS-4 was used for data analysis.

The findings indicated that SCR has a positive effect on sustainability efforts. Additionally, INN and effective IS both mediated and moderated this relationship, playing crucial roles in improving sustainability within the supply chain.

The study offered practical insights for businesses to enhance their sustainability efforts. Managers can use these findings to develop strategies that improve SCR, foster INN and encourage effective IS, ultimately resulting in a more sustainable supply chain.

This study enriched the existing knowledge base by investigating the intricate relationships among SCR, OP, INN and IS, all within the context of achieving sustainability. By exploring these elements holistically, the research introduced originality and highlighted effective strategies for sustainable supply chain management.

Modern renewable energy is crucial for environmental conservation, sustainable economic growth and energy security, especially in developing East African nations that heavily use traditional biomass. Thus, this study aims to examine urbanization and modern renewable energy consumption (MREC) in East African community (EAC) while controlling for gross domestic product (GDP), population growth, foreign direct investment (FDI), industrialization and trade openness (TOP).

This study considers a balanced panel of five EAC countries from 1996 to 2019. Long-run dynamic ordinary least squares (DOLS) and fully modified ordinary least squares estimations were used to ascertain the relationships while the vector error-correction model was used to ascertain the causal relationship.

Results show that urbanization, FDI, industrialization and TOP positively affect MREC. Whereas population growth and GDP reduce MREC, the effect for GDP is not that significant. The study also found a bidirectional causality between urbanization, FDI, TOP and MREC in the long run.

Investing in modern renewable energy facilities should be a top priority, particularly in cities with expanding populations. The governments of the EAC should endeavor to make MREC affordable among the urban population by creating income-generating activities in the urban centers and sensitizing the urban population to the benefits of using MREC. Also, the government may come up with policies that enhance the establishment of lower prices for modern renewable energy commodities so as to increase their affordability.

MREC is a new concept in the energy consumption literature. Much of the research focuses on renewable energy consumption including the use of traditional biomass which contributes to climate change negatively. Besides, the influence of factors such as urbanization has not been given significant attention. Yet urbanization is identified as a catalyst for MREC.

Innovation is necessary to ensure consistent economic growth and to meet the global competition. In view of this, the purpose of this study to check the effect of governance quality as a tool for fostering innovation performance.

The empirical analysis was arranged on 20 year’s (2000–2019) data from South Asian economies. Subject to the existence of cointegration, the authors use the fully modified ordinary least square model for regression analysis and check the robustness through robust least square model.

The empirical findings infer that all dimensions of governance have a positive significant impact on both research and development expenditures and trademark applications jointly known as innovation performance. In addition, the empirical analysis discloses the positive effect of all control variables, including FDI inflow, banking sector development, economic growth, ease of doing business index and government subsidies on innovation activities. The analysis confirms the “grease the wheel” role of governance in fostering innovation.

It is apparently recommended to strengthen the exercise of better governance to harvest better innovation scores.

This study advocates the positive role of individual dimensions of governance recommended by existing literature and complements the literature by jointly exploring the impact of all governance dimensions on overall innovation performance.

The modernization of China’s economy is an integral part of Chinese-style modernization. According to the principle of unifying theoretical, historical and practical logic, theoretically explaining the modernization of China’s economy is both a political necessity and a higher scientific requirement.

Following this evolutionary line – from modes of production to the general economic development mechanism and then to patterns of economic operation and development – this paper employs the principal contradiction analysis method to offer an interpretation of China’s economic modernization from the broad Marxist political economy perspective.

In economic terms, “get organized” primarily refers to the development and mutual promotion of team-based and market-based division of labor organizations, as discussed by Karl Marx. “Get organized” (specifically the development of team-based division of labor organizations) acts as the engine of China’s economic modernization and serves as the historical logical starting point. Division of labor is the theoretical logical starting point for interpreting China’s economic modernization. The two of them are congruent, achieving the unity of theoretical and historical logic at the starting point. The development and mutual promotion of these “two types of division of labor” inherently generate the general mechanism of economic development first comprehensively discussed by Marx and Friedrich Engels, which involves the division of labor development and market expansion accumulating cyclically and reinforcing each other. This mechanism drives both the high-speed and high-quality development of China’s economic modernization.

The broad Marxist political economy paradigm facilitates explaining China’s economic modernization theoretically, historically and practically with unified logic. “Get organized” serves as both the engine and the realization mechanism of this modernization, with the Communist Party of China (CPC) consistently being the core force of this organizational effort.

This paper, drawing on self-enhancement theory and from employee perspective, aims to develop and validate an integrative theoretical model that centers on the trust–psychological ownership (PO) link to investigate information and communications technology (ICT) employee work outcomes.

A cross-sectional survey with PLS-SEM analysis of 424 employees in ICT industry in Ho Chi Minh City, Vietnam, reports that all of 10 hypotheses are empirically supported.

PO is found to be an important driver of employee flow, job performance and psychological wellbeing. Moreover, it is posited that trust acts a moderator of the relationship between flow experience and job performance, and between job performance and psychological wellbeing.

To the best of the authors’ knowledge, this paper is among the first to affirm that trust in work environment serves as both an enabler for PO and a moderator for the relationship between flow experience–job performance as well as between job performance–psychological wellbeing path. The study also affirms that flow state plays a mediating role in the PO–job performance path, and that job performance acts as a mediator in the flow experience–psychological wellbeing sequence. Finally, new evidence expectedly highlights the positive impact of job performance, a short-term work outcome, on psychological wellbeing, a long-term work outcome.