Journal of the Knowledge Economy最新文献

Fintech’s ability to enhance efficiency and reduce costs in financial services can promote greater financial inclusion (FI), which in turn serves as a foundation for sustainable and equitable development. Due to the dearth of thorough summaries in the body of existing literature, this systematic review and bibliometric analysis aim to present quantitative and qualitative information about the comprehensive relationship between fintech, FI, and sustainability development in an organised way. The review includes 189 publications from peer-reviewed journals of Scopus and Web of Science (WoS) databases up to 2023. The article was compiled based on the Scientific Procedures and Rationales for Systematic Literature Reviews (SPAR‐4‐SLR) protocol and the theory-context-characteristics-methodology (TCCM) framework. Bibliometric analysis has identified the leading journals, authors, nations, articles, and themes. A conceptual model has been designed to illustrate the entire scope, following which potential study areas have been proposed. This study aims to provide academic researchers, policymakers, and regulators with a detailed understanding of the relationship between fintech, financial inclusion, and sustainable development. The analysis demonstrates that FI is an essential requirement of our society and a vital pathway to achieve sustainable development. In the content analysis, we identify an integrative framework of four variables on this nexus. We found a very few conceptual, qualitative, and mixed method papers on this interaction, which provide potential avenues for further research. We recommend that scholars consider adopting a multi-theory perspective. We propose a comprehensive framework on this nexus. It will also pinpoint specific areas that require further investigation.

This paper focuses on the analysis of the relationship between inflation and economic growth, using a sample of 32 sub-Saharan African (SSA) countries, over the period 2002-2021. Beyond a linear association widely discussed in the literature, we are particularly interested in testing a non-linear relationship, using the democracy level as the moderating variable. Empirically, we use a renovated framework of González et al. (2005) by using a panel smooth transition regression (PSTR) model. Our strategy validates the non-linearity between inflation and economic growth, with the presence of a single transition function, reflecting two inflation regimes, namely a low-inflation regime in which economic growth is an increasing function of inflation, and a high-inflation regime in which the inverse relationship is observed. On this basis, we establish two main findings: (1) the optimal inflation threshold in SSA is estimated at 9.27%. Such a value stipulates globally that any inflation below this threshold is pro-growth, while inflation above this threshold is anti-growth; (2) political regime determines the estimate of the optimal inflation threshold in SSA. The results show that, unlike democratic regimes, autocratic regimes have a higher optimal inflation threshold. Thus, depending on the level of inflation, these results point to more opportunities and options in central banks’ inflation targeting policies, in formalizing economies to reduce the inflationary tax, and in building more resilient and inclusive institutions.

Recently, there has been a growing worldwide imperative for the increase in CO2 emissions. Every nation endeavors to attain this fundamental objective, which garners the interest of scholars and decision-makers. The present study aims to examine the influence of environmental impact and economic impact on the achievement of sustainable development goals within EU countries to enhance the progress of the country. This study utilizes the CUP-FM and CUP-BC methodologies to investigate the correlation between various variables. The findings indicate that environmental impacts, including CO2 emissions and renewable energy production, exhibit good connections with gross domestic product per capita. There is a positive correlation between the economic variables of population growth rate, gross savings, gross fixed capital formation, and the achievement of sustainable development targets (% of sustainable development in the GDPPC). Based on the available information, the EU area must augment the volume of CO2 emissions as an integral component of sustainability to improve its GDP. This financial metric would provide sufficient returns for private investors.

Stepping into the new stage of trade openness, shipping city initiatives have attracted increasing attention. An integrated five-dimension system is constructed to investigate the construction level of shipping city. The entropy-weighted TOPSIS method is applied to assess typical shipping cities in China from 2006 to 2021. And the center radiation-driving force is measured by the gravitational model. Furthermore, the distribution dynamics and regional differences are examined to reveal the spatial structure behind urban transition. The results highlighted that (1) center radiation-driving force had excellent performance compared with other indicators. (2) As for the ranking of cities, Shanghai and Ningbo had a relatively high evaluation values thanks to their radiation-driving power. (3) Through the reginal analysis, the degree of comprehensive benefits took the following in order: eastern region > northern region > southern region. Based on the empirical results, the government should formulate suitable policies to form an exemplary and leading effect of shipping city ultimately.

In the era of Industry 4.0, the convergence of digitalization, artificial intelligence (AI), and big data analytics (BDA) has revolutionized the industrial landscape. This research paper explores the intricate interplay between AI-assisted BDA and strategic sustainable development (SSD) within the context of Industry 4.0, focusing on Italian manufacturing. The Fourth Industrial Revolution, characterized by the fusion of physical and digital worlds, has ushered in unprecedented advancements in technology and data analytics. AI-assisted BDA emerges as a powerful tool for harnessing vast datasets to drive innovation, efficiency, and sustainability strategies. It facilitates predictive maintenance, waste reduction, and optimal resource utilization. Furthermore, it aligns with circular economy principles by optimizing resource flows and promoting responsible sourcing. However, this digital transformation is not without challenges. Data privacy, security concerns, and the digital divide need addressing. Multidisciplinary approaches involving policymakers, academics, and industry leaders are essential to establish ethical norms and ensure inclusivity. The study’s theoretical implications call for a re-evaluation of the existing frameworks surrounding BDA’s role in sustainable development. It highlights the symbiotic relationship between digitization, BDA, and SSD, emphasizing the mediating role of environmental and social governance (ESG). This research underscores the transformative potential of AI-assisted BDA in Industry 4.0, bridging the gap between sustainability and innovation. It paves the way for a future where technology and environmental stewardship coalesce to foster a greener, more sustainable industrial landscape, redefining industry and sustainability in the digital age.

Existing studies were centered on the factors that could mitigate the environmental degradation, but few of them were focused on finding radical solutions by examining the nexus between human and institutional capacities and green energy supply. The use of clean energy can be an alternative for this purpose that can improve the quality of the environment. This study aims to examine the role assigned to human and institutional capacities in order to boost the renewable energy sector on the supply side in the long-term, basing on the Fully Modified Ordinary Least Squares (FMOLS) and Dynamic Ordinary Least Squares (DOLS). Moreover, the study applies panel threshold regression to 21 natural resource–rich countries that are most exposed to the challenges of switching to renewable energy. So, the objective of the present study is to investigate the effects of the human facet and the different governance mechanisms on the renewable energy supply while examining whether these impacts are conditioned by the threshold of a human capital index. Results based on panel threshold regression revealed that the effects of human capital and governance on renewable energy supply differ substantially depending on the human capital index and governance mechanisms. Indeed, human capital exerts negative effects on renewable energy supply for countries when the human capital index is above the threshold value. High and upper middle-income countries benefit more from human capital for the renewable energy production compared to low and lower-income countries in the long-term. Our results also disclosed that the governance mechanisms relating to the voice and accountability exert positive effects on renewable energy supply regardless the human capital threshold level and also for low and lower-middle-income countries in the long term. The control of corruption is beneficial in reinforcing renewable energy supply only in the case of high upper middle-income countries. Therefore, the results of this research emphasized the importance of human capital and good governance practices as levers for the transition to the era of renewable energy and can lead to several recommendations for policy makers.

Top management involvement (MVV) is acknowledged to be a critical factor in enhancing firm performance. As a result, we evaluated the mediation role of supply chain integration (SCI) in the relationship between MVV and innovation performance. Again, the study evaluated the moderation role of firm experience capability (FEXCAP) in the association between MVV and SCI (internal, customer, and supplier). To this end, we conducted a quantitative empirical study in Ghana enterprise agency. Data was gathered from 685 manufacturing and service small and medium enterprises’ top managers and analyzed using the Analysis of Moment Structures (Amos) and Statistical Package for Social Sciences version 26 software. The results revealed that SCI (internal, customer, and supplier) partially mediated the relationship between MVV and innovation performance.

Additionally, FEXCAP positively moderated the association between MVV and SCI (internal, customer, and supplier). The study is critical as it endorses the significant role of MVV in improving the effectiveness of SCI and FEXCAP in firm innovation performance. We evaluated our model in a small and medium context.

The phenomenon of supervisors ignoring or over-implementing negative performance feedback exists in the work environment. Unlike the view on the negative role of negative performance feedback, existing research also suggests that negative performance feedback can produce a facilitating effect. In this study, a theoretical model was constructed based on the feedback intervention theory to explore the mechanism of negative performance feedback from supervisors on the innovative behaviors of employees in light of the influence of regulatory focus on error handling ability. The results of this study show that employees with a high promotion or prevention focus choose to enhance their error handling ability in the face of negative performance feedback from supervisors, which in turn positively affects their innovative behaviors. This study not only expands the field of research on negative performance feedback and innovative behaviors, but also has important implications for supervisors to take measures to improve the ability and competitiveness of employees.

Organizations, communities, and socio-economic entities are rapidly changing in response to the consequences of the COVID-19 pandemic. Increasing attention is reserved for the opportunities offered by digitalization to identify different approaches for performing “traditional activities” in a new way. In such a scenario, Agile Working is contributing to reframing socio-economic entities, and new challenges are emerging in terms of human resources management. With the aim of enriching the current debate about the impact of Agile Working on socio-economic processes and organizations, this paper adopts the interpretative lens provided by Knowledge Management and Systems Thinking for depicting a conceptual model able to support both researchers and practitioners in understanding how digital work processes can influence knowledge hiding and knowledge sharing inside organized entities.

In the era of Industry 5.0, characterized by the seamless collaboration between humans and machines, the integration of digital twin technology (DTT) and blockchain technology (BCT) is poised to revolutionize supply chain management. This research explores the impact of DTT and BCT on achieving sustainable and efficient supply chain operations. Digital twins, virtual replicas of physical systems, enable real-time analysis and simulations, enhancing decision-making and operational efficiency. Simultaneously, blockchain technology ensures transparency and security in supply chains by maintaining unchangeable transaction records. This paper delves into the advantages and challenges presented by these technologies, examining real-world case studies across various industries. The study reveals that the combination of DTT and BCT creates a symbiotic relationship, driving continuous monitoring and validation of supply chain processes. This integration aligns with global sustainability goals, emphasizing resource optimization and waste reduction. However, data privacy, scalability, and interoperability remain significant barriers. A comprehensive approach is advocated to overcome these challenges, emphasizing ethical and environmental norms. Furthermore, this research offers insights into the mediating role of sustainable supply chain management (SSCM) practices and dynamic capabilities in the relationship between Industry 5.0 technologies and operational resource utilization (ORU) performance. It highlights the need for a sophisticated strategy in implementing technology adoption initiatives. This study contributes to theoretical advancements in Industry 5.0 by elucidating the complex interactions between DTT, BCT, and SSCM, paving the way for future research. Additionally, it provides valuable policy implications, guiding policymakers to prioritize innovation, transparency, and sustainability in the industrial sector. Integrating DTT and BCT can reshape supply chain dynamics, fostering a future marked by efficiency, innovation, and environmental responsibility.