Drawing on Conservation of Resources theory, this study divides perceived supervisor trust into two dimensions: perceived supervisor dependence and perceived supervisor disclosure, and explores its double-edged sword effect on employee bootleg innovation. The study further investigates the moderating role of future work self-salience from the perspective of the resource balance mechanism.Based on data from 404 valid questionnaires, the results indicate that perceived supervisor dependence is positively associated with employee bootleg innovation, whereas perceived supervisor disclosure is negatively associated with it. Moreover, self-expectations for creativity mediate the relationship between perceived supervisor dependence and bootleg innovation, while role stress mediates the relationship between perceived supervisor disclosure and bootleg innovation. In addition, future work self-salience positively moderates the effect of perceived supervisor dependence on self-expectations for creativity, and negatively moderates the effect of perceived supervisor disclosure on role stress. These findings offer both theoretical insights and practical guidance for managers in effectively managing employee bootleg innovation.

Purpose Technology entrepreneurship is closely related to the commercialisation and industrialisation of high technology and is an important engine for a country’s innovation capacity and economic and social development. This study aims to build a systematic theoretical framework and use machine learning algorithms to predict technology entrepreneurship. Design/methodology/approach Using social cognitive theory, this study explores how individual characteristics, family environment and social environment predict technology entrepreneurship. We utilise data from the Global Entrepreneurship Monitor in 2020 and employ the XGBoost algorithm combined with the Synthetic Minority Over-sampling Technique (SMOTE) algorithm. The performances of several algorithms are compared to determine the optimal predictive model for technology entrepreneurship and test feature importance. Findings By comparison, it is found that the XGboost algorithm combined with the SMOTE algorithm performs the best in predicting technology entrepreneurship. Furthermore, education, opportunity perception, career choice, social status and media coverage significantly impact technology entrepreneurship. Practical implications Technology entrepreneurship involves a combination of several factors. Machine learning algorithms provide a theoretical basis for policymakers to effectively predict and identify technology entrepreneurship. Efforts must be made to increase the education level and improve the perception of opportunities to promote technology entrepreneurship. Additionally, exploring ways to create good social norms is necessary. Originality/value This study lays a theoretical foundation for technology entrepreneurship and expands the application of machine learning algorithms in entrepreneurship. By solving complex relationships that are difficult to deal with using traditional statistical models, it can effectively predict and identify technology entrepreneurship and demonstrate the serendipity in technology entrepreneurship.

Purpose This study aims to expand the research perspective of environmental target constraint policy and delve into the dual impact of political connections on enterprise green innovation. Design/methodology/approach This study uses mathematical models and empirical evidence to analyze the impact of political connection before and after the implementation of environmental target constraint policy on green innovation in Chinese industrial enterprises, using data from Chinese industrial enterprises. This study incorporates the central government, local governments, politically connected enterprises and non66+politically connected enterprises into a unified analytical framework and proposes research hypotheses. Findings This study’s theoretical analyses show that political connection hinders the green innovation of industrial enterprises; under the influence of environmental target constraint policy, political connection promotes the green innovation of industrial enterprises. The empirical results verify the theoretical analysis results and find that the incentive effect is more significant in enterprises with high executive compensation stickiness, local politically connected enterprises, state-owned enterprises and enterprises in economically developed regions. The mechanism analysis suggests that the resource allocation effect and the political promotion incentive effect are important paths to enhance the green innovation level of politically connected industrial enterprises (PCE). Originality/value This paper proposes a dynamic theory of the curse of corporate political resources. Most of the existing studies presuppose stable and unchanging policies and do not focus on the impact of political affiliation on firms’ technological innovation after policy changes. To strengthen this weak point of the theory, this paper analyses the theoretical mechanism of the dynamic impact of political association on enterprise technological innovation before and after the implementation of the “11th Five Year Plan” environmental target constraint policy, summarizes the rule of change therein and further reveals the possible path to break the curse of enterprise political resources.

Under the background of green development and brand building, this article aims to explore the relationship between environmental regulation on corporate brand value and the mediating effect of green innovation, which can help enterprises build a synergistic mechanism between brand building and green development, and step into a benign track of high-quality development. Based on institutional theory and resource-based theory, this paper takes the 106 listed companies on the 2018–2022 consecutive list of China’s 500 Most Valuable Brands as a sample and constructs a two-way fixed-effects model to test the impact of heterogeneous environmental regulations on green innovation and corporate brand value. The empirical results showed that: (1) Command-based environmental regulation exhibits an inverted U-shaped relationship with brand value, as it compels enterprises to adopt environmental governance in the short term but gradually erodes productive resources and triggers negative environmental and reputational effects over the long term; market-based environmental regulation demonstrates a U-shaped relationship with brand value: while it crowds out production funds and shifts costs to consumers in the short term, the government’s “resource compensation” effects ultimately outweigh “compliance cost” pressures in the long run; (2) green innovation plays a partial mediating role in the impact of command-based environmental regulation on corporate brand value; (3) the impact of environmental regulations on corporate brand value is heterogeneous in terms of the nature of corporate ownership, life cycle, and location. The above findings provide a useful reference for the government to use environmental regulation tools flexibly, optimally adjust the environmental regulatory mechanism, and promote corporate brand building and green development.

In this paper, we investigate the effects of female executive leadership on corporate green governance in the context of China. Female participation in corporate governance can significantly enhance green governance performance by bolstering social responsibility and alleviating funding limitations. Our findings are amplified in non-state-owned firms, where adaptable governance frameworks facilitate the incorporation of relational ethics into operational decisions. This study reveals that female CEOs deliberately address regulatory deficiencies in areas with inadequate institutional frameworks by integrating environmental goals into fundamental business practices, thus transforming ethical governance into a competitive advantage. These insights shift female leadership from mere diversity indicators to active agents for systemic green transformation.

Based on the signaling theories, this study explores the mechanism of the influence of executives' environmental backgrounds on green investors using A-share listed companies from 2008 to 2022 as the research sample. The results indicate that appointing executives with environmental backgrounds enhances firms’ innovation in environmental management and green technology. This subsequently signals firms' commitment to green development, while attracting external green investors. Moreover, hiring executives with environmental backgrounds is particularly advantageous for non-polluting, non-technology-intensive firms, and those located in the central region, as it enhances their appeal to green investors.

Environmental, Social, and Governance (ESG) performance has become a vital instrument for corporations to integrate sustainable development principles into business operations. Against the dual backdrop of disruptions in the international order and economic instability, investigating the impact of corporate ESG performance on total factor productivity (TFP) under environmental uncertainty is of significant importance. Utilizing data from Chinese A-share listed companies spanning the period 2011 to 2022, this study employs a baseline regression model, a mediation effect model, a moderation effect model, and a moderated mediation model to examine the impact of corporate ESG performance on TFP under conditions of environmental uncertainty. The results indicate that (1) corporate ESG performance exerts a positive influence on TFP, particularly in tertiary industry firms, state-owned enterprises (SOEs), and enterprises with lower environmental risks; (2) improving ESG performance helps alleviate financing constraints, enhance human capital, and boost innovation capability, thereby strengthening TFP; and (3) environmental uncertainty moderates the pathway through which ESG performance affects TFP, amplifying its positive effect. Based on these findings, it is recommended that countries collaborate to establish a global, cross-industry platform for sharing ESG practices, develop a stable ESG policy framework and incentive mechanisms, and encourage enterprises to enhance their ESG management and resilient governance capabilities to promote sustainable economic development.

PurposeAgenda for knowledge creation within inter-project alliances and inter-firm supply chain networks has been extensively debated. However, the existing knowledge networks within consultant-supplier interfaces in the architecture, engineering and construction (AEC) industry seem to be vague, loose, incidental and insignificant. This study examines factors affecting knowledge networking intention (KNI) within construction service supply chain (CSSC) networks.Design/methodology/approachData analysis was conducted on a quantitative survey of 161 consulting professional service firms in Tanzania, employing stepwise regression modelling as the statistical technique.FindingsThe results indicate that three types of knowledge inertia (KI) exert varying effects on KNI. While both procedural (PI) and learning inertia (LI) negatively impact KNI, experience inertia (EI) has no impact on KNI. In addition, knowledge governance (KG) mechanisms are found to strongly strengthen and leverage the negative effects of PI and LI on KNI and the positive link between EI and KNI within outbound and heterogeneous CSSC actors, with formal KG having greater leverage than informal KG.Practical implicationsThe study offers guidance on how managers of PBOs should strategically orchestrate knowledge governance mechanisms within CSSC networks to leverage KI behaviours.Originality/valueCurrent literature on KNI, KI and KG within CSSC networks offers a limited understanding of how KI behaviours influence KNI of project-based organizations (PBOs) in tapping vibrant outbound peripheral knowledge. The research presents two major original contributions. First, the empirical evidence contributes to deepening the current understanding of how heterogeneous external knowledge within consultant-supplier interactions is negatively influenced by KI. Lastly, the study suggests formal and informal knowledge governance strategies for managers on how to counteract KI forces, thus extending the theoretical debate on KNI, KI and KG literature.

Low-carbon cities and smart cities are important policy tools for achieving China's "dual-carbon" goal. It is of great practical significance to explore the choice of carbon emission reduction technologies for enterprises under different pilot policies, in order to save production costs and enhance the effectiveness of enterprise emission reduction. Based on this, the study takes profit maximization as the goal, and includes only cleaner production technologies and end-of-pipe technologies in carbon emission reduction technologies, constructs a production function based on Hicks' neutral technology, and analyses the carbon reduction technology selection strategies of enterprises under the three types of pilot policies. Further, the Hansen threshold panel model is applied to verify the scientific validity of this technology selection mechanism. It is found that the selection of cleaner production technologies and end-of-pipe technologies in different pilot policies is based on the ratio of end-of-pipe technology inputs to outputs. Specifically: (1) If this ratio is at (0, 0.5), in low carbon cities, enterprises choose lower cost end-of-pipe technologies; in smart cities, enterprises lack the willingness to invest in carbon emission reduction technologies; and in dual-pilot cities, enterprises use both end-of-pipe technologies and cleaner production technologies to reduce carbon emissions. (2) If this ratio is at (0.5, 1), enterprises in all three types of pilot cities choose lower-cost source management technologies to reduce carbon. (3) The results of the heterogeneity analysis show that under the constraint of production cost, non-state-owned enterprises, old enterprises and enterprises in high-carbon industries lack the incentive to increase their investment in carbon reduction technologies. Therefore, governments at all levels should guide these three types of enterprises to enter the carbon trading market, and stimulate the initiative of low-carbon technological innovation of these three types of enterprises through policy subsidies, high-tech enterprise incubation, and the promotion of carbon emission reduction source-governance technologies, so as to ultimately achieve the decline of the total amount of carbon emissions at the smallest cost of carbon emission reduction.

Promoting low-carbon technology transfer is crucial for reducing global greenhouse gas emissions, combating climate change, and fostering sustainable development. Based on the “efficient market” and “active government” concepts, a “government-intermediary-receiver-sender” game model was constructed, identifying evolutionary stable strategies and key factors affecting strategy selection. It was found that (1) receiver and sender needs and government policy incentives increase intermediaries' willingness to participate, reducing input costs and shifting government support from incentives to compensatory regulations; (2) optimal strategies emerge when incentives for low-carbon technology senders, receivers, and intermediaries, and penalties for serious defaults by senders and receivers exceed a threshold, fostering high participation willingness and leading to government implementation of compensatory regulations; (3) differentiated penalties are necessary to avoid a sender-receiver prisoner's dilemma but only ensure one side's willingness to participate, while government incentive-based regulation can overcome negative constraints and promote active participation from both sender and receiver. Compensatory regulations encourage sustained technology transfer costs and reduce incentive costs, with optimization focusing on lowering government publicity costs and increasing economic benefits for intermediaries.

Entrepreneurship is of great significance to individuals, families and society. Recently, intrapreneurship, i.e., business ventures within established organisations, has also attracted widespread interest among individuals and organisations. However, we still know little about how individuals make decisions when they face diverse types of entrepreneurial activities. Based on theories of entrepreneurial action and conservation of resources and the literature on family embeddedness, this paper proposes an integrated framework for entrepreneurial choice—including intrapreneurship, self-employment and non-entrepreneurship, and examines the roles of socio-cognitive traits and family contingency factors in the entrepreneurial choice process. By using secondary and survey data, the empirical results show that (a) entrepreneurial alertness (EA) and self-efficacy (ESE) both positively affect individuals’ choice towards intrapreneurship and self-employment, with a stronger effect on the latter; (b) the interaction between EA and ESE has a negative effect on intrapreneurship but a positive effect on self-employment; (c) family-to-work conflict weakens the aforementioned interactive effect on both intrapreneurship and self-employment, whereas work-to-family conflict strengthens its effect on self-employment; (d) household income strengthens the interactive effect on both intrapreneurship and self-employment. Overall, these findings contribute to a nuanced understanding of the relationship among individual cognitive traits, family contingencies and entrepreneurial choice. The theoretical and practical implications are discussed.

PurposeHow does the family influence individual entrepreneurial entry? The literature does not provide a satisfactory answer. In this paper, we develop an individual entrepreneurial capital perspective to systematically evaluate the impact of current households on entrepreneurship at both theoretical and empirical levels.Design/methodology/approachBased on the Global Entrepreneurship Monitor (GEM) database from 2010 to 2018, we used logit regression models to examine the relationship between household size and opportunity- and necessity-motivated entrepreneurship.FindingsThe empirical results show that with the expansion of household size, the possibility of opportunity-motivated entrepreneurship shows a trend that first declines and then rises, and the possibility of necessity-motivated entrepreneurship shows an upward trend, suggesting that there are two types of opposing mechanisms that affect the relationship between household and entrepreneurial entry.Practical implicationsFamily households are the starting point of individual growth and provide initial cognitive and social resources for decision-making. For entrepreneurs, it is necessary to make full use of household-based capital and networks to promote entrepreneurial activities. For the government, it is necessary to explore the development and implementation of household-based entrepreneurial policies.Originality/valueThrough analyses of the U-shaped relationship between household size and opportunity-motivated entrepreneurship and the positive relationship with necessity-motivated entrepreneurship, we reveal the relationship between household and entrepreneurship, reconcile the contradictions in the literature and contribute to the two fields of family studies and entrepreneurship.

Relational view theory emphasizes the significance of networking with supply chain partners to secure access to knowledge and other scarce resources. However, despite substantial consultant-supplier interactions in Tanzania, there is limited knowledge that is infused among the Architecture, Engineering and Construction professionals, which may have a negative impact on service performance. Using a survey dataset of 163 consulting service-based organisations (SBOs) in Tanzania, this study postulates and empirically examines the mediating role of knowledge infusion on the relationship between outbound knowledge networking intention, stakeholder support and service performance. The structural equation model results reveal that, while knowledge networking intention and stakeholder support exert varying positive effects on service performance, the direct and indirect effects become significant and positive when mediated by knowledge infusion. Thus, construction SBOs must reinforce their professional competencies such as embedding axiomatized knowledge and codified product specifications, in order to transform their internal capacity, attain robust decision-making, continuous improvement of human capital, innovation and (sustained) competitive advantage towards service performance.

Purpose The purpose of this paper is to examine the gender differences in entrepreneurship driven by configurations of institutional environment and entrepreneurial cognition, and provide theoretical guidance and practical reference for promoting female and male entrepreneurship. Design/methodology/approach Based on a configuration perspective, six antecedents of institutional environment and entrepreneurial cognition are integrated to explore multiple concurrent factors and causally complex relationships affecting female and male entrepreneurship. Findings This study indicates that the configurations of institutional environment and entrepreneurial cognition can achieve high female and male entrepreneurship. There are similarities and differences between female and male entrepreneurship from a configuration perspective. Perceived opportunity plays an important role in entrepreneurship for both women and men, and the absence of fear of failure is also important for male entrepreneurship. There is a complementary effect among entrepreneurial cognitions in the absence of institutional environment. In the configurations of institutional environment and entrepreneurial cognition, female entrepreneurship benefits more from informal institutions, whereas regulative and cognitive institutions play a greater role in male entrepreneurship. Practical implications Policymakers and individuals should take a holistic and complex view of the impact of institutional environment and entrepreneurial cognition, and differentiated measures should be taken for female and male entrepreneurship. Originality/value This research responds to the call for multilevel transnational entrepreneurship research, enriches research on institutional environment and entrepreneurial cognition, deepens the application of fuzzy-set qualitative comparative analysis to the field of entrepreneurship and strengthens the understanding of the similarities, differences and complexities of female and male entrepreneurship.

Based on the analysis of the effect mechanism of public service supply on regional green development, this paper establishes a spatial Dubin model based on China’s provincial panel data from 2010 to 2020, and empirically tests the impact of public service supply on regional green development from the perspective of high-tech industry agglomeration. The results show as follows:（1） Both public service supply and high-tech industry agglomeration can promote local green development, and have a positive spillover effect on surrounding areas;（2） High-tech industry agglomeration plays an intermediary role between public service supply and regional green development, that is, the scale, structure and quality of public service supply contribute to the agglomeration of high-tech industry and promote regional green development;（3） There is a non-linear relationship between high-tech industry agglomeration and regional green development. Under different threshold values, high-tech industry agglomeration has different promoting effects on regional green development. When the agglomeration degree exceeds the threshold value,the impact on regional green development shows a decreasing effect;（4） The different types of public services have different effects on regional green development. Compared with infrastructure public services, public services related to people’s livelihood have a more significant promoting effect on regional green development. In addition, there is regional heterogeneity in the impact of public service supply on regional green development. The improvement of public service supply in the east, west and northeast has a significantly positive impact on regional green development,while the central region does not show an obvious promoting effect.

Low-carbon technology transfer is the primary means of promoting the industrialization of low-carbon scientific and technological achievements, as well as an important component in accelerating the realization of carbon peak and carbon neutrality. This study uses the evolutionary game model to construct a three-party game relationship consisting of a low-carbon technology sender and receiver along with government participation. Additionally, based on the Green Technology Bank case, we demonstrate the impact of various factors on the three parties' choice of low-carbon technology transfer strategy in the game. The results reveal that the final participation behavior of the government is less influenced by the initial willingness of the sender and receiver to participate. However, the initial participation willingness of the government and low-carbon technology sender has a significant impact on the receiver's participation. Furthermore, the sender's participation is substantially influenced by the government's willingness to participate. Optimizing the cost and benefit distribution mechanism can encourage low-carbon technology transfer subjects to participate. Increasing government incentive and default punishment is more conducive to realizing the three parties' win-win situation in the game. While government incentive has a significant impact on the sender, the increase in default punishment has a considerable effect on the receiver.

在当前资源环境约束加剧背景下,盘活国内存量绿色技术并推动其转移应用,是中国实现"双碳"目标的关键.基于长三角城市的绿色技术专利转让数据,实证检验了城际绿色技术转移的碳减排效应及作用传导机制.研究发现:(1)绿色技术转移可显著抑制地区碳排放且存在滞后期;(2)产业结构变迁的中介效应主要体现在"高级化-质"与"合理化"两方面,而"高级化-量"的中介效应则不显著;(3)研发水平提升的中介效应体现在缓解R&D人力和资本的要素配置扭曲、提升R&D能力两方面;(4)"外联型"跨市技术转移的减排示范作用高于"内源型"同城转移.进一步指出,围绕"需求牵引供给、供给创造需求",促进绿色技术转移的"增量提质",加速其在产业链的嵌入,并将其示范效应转化为规模效应,促成人才链、资金链、创新链的要素联动,是抑制碳排放的务实路径.

产业扶持政策是我国促进企业创新的重要手段之一,其不确定性会对微观企业创新决策造成巨大冲击.本文采用2008-2017 年中国A股上市公司数据,考察了产业政策不确定性对企业创新质量的影响以及企业财务柔性的调节作用.研究发现:产业政策变更不确定性会激励企业创新质量,而产业政策执行不确定性会抑制企业创新质量;在此过程中,企业财务柔性具有正向调节作用,且相比于负债柔性,现金柔性起到主导调节作用.影响机制分析表明:企业的政策不确定性感知与融资约束是产业政策不确定性影响企业创新质量的核心传导机制.进一步分析发现:相比于中低质量创新,产业政策变更不确定性对高质量创新的激励效应更强,而产业政策执行不确定性对高质量创新的抑制效应更弱.研究可以为深入理解政策不确定性对企业创新决策的负外部性提供新的经验证据,也为企业应对政策不确定性冲击以及政府优化产业政策制定与执行提供决策参考.

聚焦科技金融对绿色技术创新的影响效果和作用机制,为推动地区绿色技术创新和实现"双碳"目标提供参考.基于我国30个省份2009-2020年面板数据,采用回归模型和中介效应模型进行实证检验,结果发现,(1)科技金融能够实现绿色技术创新的提"质"增"量",且更能提升绿色技术创新质量;(2)科技金融通过发挥智能制造的劳动雇佣效应和数智驱动效应推动绿色技术创新;(3)科技金融对绿色技术创新的影响存在异质性,在高媒体关注度地区、高市场化地区、高工业化地区及强知识产权保护地区,科技金融的激励作用更明显.最后从建立有效的科技金融体系、实现科技金融与智能制造的深度融合和推动制造业人力资源优化及数智技术升级三方面提出建议.