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This study investigates the impact of smart city construction (SCC) on urban energy consumption.

The focus is on a panel of 285 prefecture level cities in China from 2010 to 2021. The empirical evidence is based on the difference-in-difference (DID) method. We uses per capita coal consumption as a proxy variable to measure urban energy consumption energy consumption. We set the SCC as a policy dummy variable, with pilot cities set to 1 and non-pilot cities set to 0. We also selected a series of control variables that affect urban energy consumption, such as urbanization rate, labor force, road density, number of college students per 10000 people, regional economic development level and so on.

(1) SCC significantly reduces urban energy consumption, and the conclusion still holds after conducting robustness testing; (2) SCC reduces urban energy consumption is mainly effective in those cities with larger scale, stronger human capital, larger financial services and better information infrastructure construction; (3) The technological innovation and industrial structure upgrading are the main mechanisms for the SSC policy to reduce urban energy consumption.

The results in this study provide evidence for achieving an environmentally friendly society.

The purpose of the study is to test the utility of a taxonomy of innovation based on perceived characteristics in the context of healthcare by exploring the extent to which discrete innovation types could be distinguished from each other in terms of process antecedents.

A qualitative approach was adopted to explore the process antecedents of nine exemplar cases of “challenging”, “under‐cover” and “readily‐adopted” healthcare innovations. Data were collected by semi‐structured interview and from secondary sources, and content analysed according to a theoretically informed framework of innovation process. Cluster analysis was applied to determine whether innovation types could be distinguished on the basis of process characteristics.

The findings provide moderate support for the proposition that innovations differentiated on the basis of the way they are perceived by potential users exhibit different process characteristics. Innovations exhibiting characteristics previously believed negatively to impact adoption may be successfully adopted but by a different configuration of processes than by innovations exhibiting a different set of characteristics.

The findings must be treated with caution because the sample consists of self‐selected cases of successful innovation and is limited by sample size. Nevertheless, the study sheds new light on important process differences in healthcare innovation.

The paper offers a heuristic device to aid clinicians and managers to better understand the relatively novel task of promoting and managing innovation in healthcare. The paper advances the argument that there is under‐exploited opportunity for cross‐disciplinary organisational learning for innovation management in the NHS. If efficiency and quality improvement targets are to be met through a strategy of encouraging innovation, it may be advantageous for clinicians and managers to reflect on what this study found mostly to be absent from the processes of the innovations studied, notably management commitment in the form of norms, resource allocation and top management support.

This paper is based on original empirical work. It extends previous adoption related studies by applying a configurational approach to innovation attributes to offer new insights on healthcare innovation and highlight the importance of attention to process.

This study examines the impact of university science parks’ (USPs) capabilities on revenue generation and introduces regional innovation as a moderating variable. This study aims to provide insights into enhancing revenue generation and fully leveraging the role of USPs in promoting revenue generation.

This study employs system generalized method of moments (GMM) estimation for 116 universities in China from 2008 to 2020, using hierarchical regression analysis to examine the relationships between variables.

The findings suggest that USPs play a beneficial role in fostering revenue generation. Specifically, the provision of incubation funding demonstrates a positive correlation, while USPs size exhibits an inverted U-shaped pattern, with a threshold at 3.037 and a mean value of 3.712, highlighting the prevalent issue of suboptimal personnel allocation in the majority of USPs. Moreover, the analysis underscores the critical moderating influence of regional innovation, affecting the intricate interplay between USPs size, incubation funding and revenue generation.

The single country (China) analysis relied solely on the use of secondary data. Future studies could expand the scope to include other countries and employ primary data collection. For instance, future research can further examine how regional development and USPs strategic plan impact revenue generation.

The study recommends that USPs managers and policymakers recognize the importance of incubation funding and determine the optimal quantity of USPs size to effectively foster revenue generation in USPs. Policymakers can use regional innovation as a moderating variable to reinforce the relationship between USPs size and incubation funding on revenue generation.

The study’s findings can contribute to the strategic industry growth and economic development of nations by promoting revenue generation. Leveraging the role of USPs and implementing the study’s recommendations can strengthen innovation and technology capabilities, driving strategic industry growth and economic development. This can enhance global competitiveness and promote sustainable economic growth.

This study introduces regional innovation as a moderating variable and provides empirical evidence of its influence on the relationship between USPs size and incubation funding on revenue generation. This adds value to research to the existing literature on USPs and revenue generation by showcasing the importance of examining the regional impact in research and innovation.

A city is a spatial carrier of innovation activities. Improving the level of urban innovation can play a significant supporting role in building an innovative country. China began to implement the innovative city pilot policy in 2008 and continued to expand the policy into more areas for exploring the path of innovative urban development with Chinese characteristics and improving urban innovation.

Based on mechanism analysis, this paper used the panel data of 269 cities from 2003 to 2016 to empirically test the effect of the pilot policy on the level of urban innovation by using different methods, such as the difference-in-differences model.

The results show that the innovative city pilot policy significantly improves the level of urban innovation. However, according to the findings of the heterogeneity analysis, the effect of the pilot policy on improving the innovation level in direct-controlled municipalities, provincial capitals and sub-provincial cities is weaker than that in ordinary cities, and the effect of the pilot policy on improving the innovation level in cities with a higher quality of science and education resources is weaker than that in cities with lower quality of science and education resources.

Moreover, as the level of urban innovation increases, the effect of the pilot policy on improving the level of urban innovation is an asymmetric inverted V shape, which means the effect is first strengthened and then weakened. The research also finds that the locational heterogeneity of the pilot policy for improving the level of urban innovation is not notable. In addition, the innovative city pilot policy can strengthen the government's strategic guidance, promote the concentration of talent, incentivize corporate investment and optimize the innovation environment, having a positive impact on urban innovation. Moreover, the effect of concentration of talent and the effect of corporate investment incentive are the important reasons for the pilot policy to promote the improvement of the level of urban innovation.

Green entrepreneurship (GE) is a novel concept in business and enhances environmentally friendly production and operation activities for “sustainable development” (SD). The aim of this study is to determine the drivers that contribute to the growth and success of “micro, small, and medium enterprises” (MSMEs) in the manufacturing sector in India. The study also examines the mutual and cause-and-effect relationships among these identified drivers.

The study used integrated research methodology and identified nine key drivers of GE (GEDs) through extensive literature reviews, theoretical perspectives (i.e. “resource-based view” (RBV), “natural resource-based view” (NRBV) and “critical success factor theory” (CSFT)), and expert opinions. Further, “total interpretive structural modeling” (TISM) and “matrice d'impacts croisés multiplication appliquée á un classment” (MICMAC) analysis are used here to develop a hierarchical model and cluster the drivers, and fuzzy “decision-making trial and evaluation laboratory” (fuzzy-DEMATEL) is used to develop causal relationships among the drivers. Further, a sensitivity analysis is conducted to ensure the robustness of the results.

Results indicated that green manufacturing and operation capability development, green business process management and attitudes toward developing sustainable business models significantly impacted GE and SD. The findings of this study help managers, policymakers, and practitioners gain an in-depth understanding of the drivers of GE.

The study considers a limited number of drivers and is specific to Indian manufacturing MSMEs only. Further, a limited number of experts from different enterprises are considered for data analysis. This study is also based on interrelationships and their relative importance based on multicriteria decision-making techniques. This study aids government decision-making, policy formulation and strategic decision-making for manufacturing businesses in achieving SD goals. In addition, this research also encourages green entrepreneurs to start eco-driven companies and facilitate the use of environmentally friendly goods to offset environmental challenges and accomplish sustainable development goals.

This study proposes an integrated methodology that will benefit managers, practitioners and others in developing strategies and innovations to improve and develop green practices. This study further helps with responsive, sustainable business development in various manufacturing MSMEs.

This paper aims to investigate how digitalization empowers government auditing with technical power to serve national governance better.

This study measures the audit digitalization (AD) index by textual analysis method and matches the provincial AD index with the Chinese listed firm’s data from 2011 to 2019. The two-way fixed effect regression is used to explore the nexus of audit digitalization and corporate green innovation.

The empirical results demonstrate that government audit digitalization stimulates corporate green innovation, especially for substantive green innovation. Research and development expenditures on personnel and capital are influential mediators and are increased by audit digitalization. The heterogeneity analysis indicates the anti-driving effect for fewer audit informatization expenditures or lower environmental audit coverage, and the incentive effect for state-owned enterprises or firms with corporate social responsibility reports.

The incremental contribution lies in recognizing the progress of government audit digitalization and its role from digital to environmental governance, which extends digital capabilities and digital expertise into the government audit view. Based on textual analysis, a reliable dictionary of audit digitalization is built by machine-learning methods. Then, the authors confirm the effectiveness of audit digitalization, especially when other forms of digitalization fail to promote substantive green innovation. This study also attests to the anti-driving and incentive effect from the external governance perspective. The authors’ findings have implications for digital ecological civilization.

This study aims to explore how the application of digital technology and information technology can help firms improve their innovation performance and examines the mediating mechanisms of supply chain agility and supply chain integration.

This study conducted a questionnaire survey of 320 business managers in an automotive cluster in China and analyzed the collected data using structural equations.

Digital technology applications (DTA) have a positive impact on innovation performance, while supply chain agility and integration mediate this impact. In addition, information technology applications (ITA) also has a positive impact on innovation performance, while supply chain agility and integration mediate between the two. Supply chain agility (SCA) and supply chain integration (SCI) significantly enhance the positive impact of technology adoption on firms' innovation performance.

This study confirms the impact of digital technology and information technology applications on innovation performance and explores the mediating role played by supply chain agility and integration.

Family businesses are on the rise and facing severe sustainability challenges. The overall purpose of this thesis is to examine the moderating role of technological resources in the relationship between marketing innovation and family business sustainability.

From a post-positivist perspective, this study utilized a quantitative approach and causal research design. 204 family businesses within the Accra Metropolitan Assembly were sampled for this study. Structural Equation Modeling (SMART PLS 4) was utilized for data analysis after a closed-ended questionnaire was used to gather data.

It was evidenced that marketing innovation has a positive significant effect on family business sustainability. Technological resources have a negative significant moderating effect on the relationship between marketing innovation and family business sustainability.

The originality of this study lies in examining the moderating effect of technological resources on the relationship between marketing innovation and family business sustainability in Ghana, where this phenomenon is less explored.

The funding of innovation is explained by typical cost-based financial approaches. This paper breaks away from such tradition, and the purpose of this paper is to propose an alternative view where innovation funding decisions are strategic and concern interactions between actors – each with their own characteristics and strategic intentions – project features, and traits of the setting in which interactions take place.

This paper builds up an alternative framework to understand how innovation is financed by considering the interplay of innovation characteristics, the strategic reasons of project owners and funders, and the role of the matching environment and conditions. This proposal includes explanatory elements overlooked by extant theories. An illustrative case is presented to support the need for this proposal.

The framework proposed proves useful to better understand innovation funding cases where the traditional financial theory does not suffice.

Innovative companies may improve decision making about resource allocation to innovation; innovation funders may refine their decision-making criteria and implementation; and policy makers and practitioners need to devise better supporting strategies for innovative companies.

This proposal considers a continuum of funding options where supply/demand will match on the grounds of strategic decisions made during the interaction itself, under certain contextual conditions. Hence, it enriches the understanding of strategic decisions regarding firm capital structure and investment theory when it comes to funding innovation.

In today’s competitive business landscape, organizations are increasingly recognizing the strategic advantage of implementing sustainable practices to gain a competitive edge. This study aims to investigate the effect of green artificial intelligence (AI) on achieving a green competitive advantage, examining the mediating roles of green organizational learning, green product innovation and green process innovation. Additionally, the research explores the moderating role of perceived green climate in the relationship between green AI and these mediating factors.

This research examined companies in Isfahan, Iran, that have varying levels of artificial intelligence adoption within their business processes. The target population consisted of 148 senior managers from these companies. This study uses structural equation modeling to examine the proposed model.

Green AI positively impacted green organizational learning and green process innovation but not green product innovation. In addition, the results showed that green organizational learning, green product innovation and green process innovation had positive effects on green competitive advantage. Finally, the results showed that the perceived green climate did not play a moderating role in the relationship between green AI and these mediating factors.

Organizations should prioritize green AI initiatives, foster a culture of green learning and invest in green innovation to achieve sustainable growth and outpace competitors in the environmentally conscious marketplace.

This study positions itself at the forefront of research on green AI and green competitive advantage. It offers a unique framework by examining the combined effects of green AI, green learning and both product and process innovation on achieving a sustainable competitive advantage.