Search Results (264)

This study, based on engineering education accreditation standards, addresses the supply–demand imbalance in China’s cybersecurity talent cultivation by constructing a sustainable “education-industry-society” collaborative model. Through case studies at Huaihua University and other institutions, employing methods such as literature analysis, field research, and empirical investigation, we systematically explore reform pathways for an innovative cybersecurity talent development system. The research proposes a “three-platform, four-module” practical teaching framework, where the coordinated operation of the basic skills training platform, comprehensive ability development platform, and innovation enhancement platform significantly improves students’ engineering competencies (practical courses account for 41.6% of the curriculum). Findings demonstrate that eight industry-academia practice bases established through deep collaboration effectively align teaching content with industry needs, substantially enhancing students’ innovative and practical abilities (172 national awards, 649 provincial awards). Additionally, the multi-dimensional evaluation mechanism developed in this study enables a comprehensive assessment of students’ professional skills, practical capabilities, and innovative thinking. These reforms have increased the employment rate of cybersecurity graduates to over 90%, providing a replicable solution to China’s talent shortage. The research outcomes offer valuable insights for discipline development under engineering education accreditation and contribute to implementing sustainable development concepts in higher education. Full article

The rapid rise of the silver economy in the new era has become a new driving force for socio-economic development. From the perspective of Marxist political economy theory, this paper analyzes the intrinsic logic of the silver economy’s development through three dimensions: surplus value, labor market, and capital. The study finds that the silver economy in the new era faces challenges such as insufficient supply of high-quality elderly care services, simultaneous shortages in both total talent quantity and structural imbalances, and contradictions between capital’s profit-seeking nature and social welfare. By introducing the multiple streams model, the paper elucidates the coupling process of these three streams and the timing of policy window openings. It proposes targeted strategies, including strengthening technological innovation, deepening labor market reforms, and optimizing capital allocation, to promote the robust development of China’s silver economy and inject strong momentum into sustainable and high-quality economic growth. Full article

How to promote sustainable development and deal with the actual development demands in economic transformation through land-use planning is crucial for local governments. The urban sustainable development mainly relies on creativity and talents in the digital era, and talents are increasingly attracted by local people-oriented land use. However, the current planning ideology remains at meeting corporate and people’s basic needs rather than specific needs of talents, especially the increasingly emerging digital creatives. To promote the talent agglomeration and sustainable development through land planning, this paper uses micro-celebrities on Bilibili, an influential creative content creation platform among young people in China, as an example to study the geographical distribution of digital creative talents and its relationship with urban amenities by constructing an index system of urban amenities, comprising natural, leisure, infrastructure, and social and institutional amenities. The concept of borrowed amenities is introduced to examine the effects of amenities of surrounding cities. This study demonstrates that micro-celebrities show a stronger preference for amenities compared with other skilled talents. Meanwhile, social and institutional amenities are most crucial. Furthermore, urban leisure represented by green spaces and consumption spaces is also attractive. At the regional scale, with prefecture-level cities as units, the local talents agglomeration is also influenced by the borrowed amenities in the context of regional integration. It indicates that the local land use should consider the characteristics of the surrounding cities. This study provides strategic inspiration that a happy and sustainable city should first be people-oriented and provide sufficient space for consumption, entertainment, and interaction. Full article

In today’s rapidly evolving organizations, talent management plays a critical role in driving sustainable growth. Talents, particularly those exhibiting leadership potential, are often seen as essential assets for organizational development. However, the presence of high employee’s leadership potential can also generate adverse emotional reactions from leaders, potentially leading to behaviors such as leader jealousy and leader ostracism. This study investigates the dark side of employee’s leadership potential by examining the mechanisms through which employee’s leadership potential influences leader ostracism, with leader jealousy acting as a mediator. Drawing on social comparison theory, we propose a theoretical model that includes organizational competitive climate and leader’s core self-evaluation as moderating factors. Using a three-wave survey of 672 leaders in the Chinese construction industry, hierarchical regression analysis was employed to test the hypotheses. The results show that employee’s leadership potential significantly increases both leader jealousy and leader ostracism, with leader jealousy serving as a mediator. Moreover, a high organizational competitive climate strengthens the relationship between employee’s leadership potential and leader jealousy, thereby enhancing the entire mediated effect. In contrast, high leader core self-evaluation weakens the relationship between employee’s leadership potential and leader jealousy, reducing the likelihood of leader ostracism and attenuating the mediated effect. This study provides both theoretical contributions and practical insights for organizations seeking to manage high-leadership potential employees while minimizing the risk of negative leadership behaviors. Full article

Workforce transformation is one of the most pressing challenges in the AI-driven construction industry, as traditional skilled labour roles are rapidly evolving into more interdisciplinary, digitally enabled positions. This study aims to investigate how AI is fundamentally reshaping skill requirements within the construction sector, to analyse stakeholder perceptions and adaptive responses to workforce transformation, and to explore strategies for optimizing construction workforce development to facilitate the critical transition from traditional “skilled workers” to contemporary “smart talent.” It employs phenomenological qualitative research methodology to conduct in-depth interviews with 20 stakeholders in Chongqing, and uses NVivo 14 to conduct thematic analysis of the data. The findings indicate that AI has penetrated all areas of the construction process and is transforming jobs to more likely be digitalized, collaborative, and multi-faceted. However, significant cognitive disparities and varying adaptive capacities among different stakeholder groups have created structural imbalances within the workforce development ecosystem. Based on these key findings, a four-pillar talent development strategy is proposed, encompassing institutional support, educational reform, enterprise engagement, and group development, while stressing the necessity for systemic-orchestrated coordination to reimagine a smart talent ecosystem. This study advances theoretical understanding of digital transformation within construction labour markets, while offering real pathways and institutional contexts for developing regions that desire to pursue workforce transformation and sustainable industrial development in the AI era. Full article

Achieving high-level green technological innovation in heavily polluting enterprises is critical for advancing sustainable development, particularly in the context of both organizational and regional digitalization. This study adopts a configurational perspective grounded in the Technology–Organization–Environment (TOE) framework and integrates theoretical insights from resource orchestration, resource dependence, and IT capability theories. It investigates how different types of skilled talent, such as production, technical, sales, and managerial employees, contribute to green innovation under varying digital conditions. By applying fuzzy-set qualitative comparative analysis (fsQCA) to a sample of 96 publicly listed firms from China’s heavily polluting industries, this study identifies four distinct talent-based configurations that can lead to high levels of green innovation: production-centric, management-led, technical talent driven, and regionally enabled models. Each configuration reflects a specific system state in which a core group of skilled employees plays a leading role, supported by complementary functions, and shaped by the interaction between internal digital transformation and the external digital environment. This study contributes to the systems literature by elucidating the combinational roles of digital resources and talent deployment within the systemic TOE framework, and offers practical guidance for enterprises aiming to strategically utilize human capital to enhance green innovation performance amid ongoing digital transformations. Full article

Against the backdrop of the energy crisis and a rapidly advancing digital economy, electricity–computing synergy has become a strategic pathway to resolve energy constraints in computing power center and overcome renewable energy consumption challenges. This study breaks through the existing single-factor fragmented analysis method and systematically constructs a vertically progressive and horizontally coupled electricity–computing synergy planning model to deconstruct the core elements of computing power center construction and reconstruct the path of electricity–computing value co-creation. It proposes a multi-objective site selection decision-making method for computing power center based on linear weighting and the principle of reusability and universality, effectively avoiding the problem of overall system efficiency loss caused by single-objective optimization. Based on the empirical results from data from 31 provinces in China, this study classifies the endowments for computing power center construction, conducts targeted analyses of each province’s situation, and finds three major contradictions facing China’s computing power center: a spatial mismatch between green energy resources and service demand, a dynamic imbalance between electricity price advantages and comprehensive costs, and structural contradictions between talent reserves and sustainable development. Finally, a multi-dimensional integrated strategy was systematically constructed, encompassing demand-driven initiatives, electricity price adjustments, talent innovation, natural cold-source activation, and network upgrades, to provide guidance and policy toolkits for the government planning of computing power infrastructure development. Full article

Intelligent mining technology, as the core driving force for the digital transformation of the mining industry, integrates cyber-physical systems, artificial intelligence, and industrial internet technologies to establish a “cloud–edge–end” collaborative system. In this paper, the development trajectory of intelligent mining technology has been systematically reviewed, which has gone through four stages: stand-alone automation, integrated automation and informatization, digital and intelligent initial, and comprehensive intelligence. And the current development status of “cloud–edge–end” technologies has been reviewed: (i) The end layer achieves environmental state monitoring and precise control through a multi-source sensing network and intelligent equipment. (ii) The edge layer leverages 5G and edge computing to accomplish real-time data processing, 3D dynamic modeling, and safety early warning. (iii) The cloud layer realizes digital planning and intelligent decision-making, based on the industrial Internet platform. The three-layer collaboration forms a “perception–analysis–decision–execution” closed loop. Currently, there are still many challenges in the development of the technology, including the lack of a standardization system, the bottleneck of multi-source heterogeneous data fusion, the lack of a cross-process coordination of the equipment, and the shortage of interdisciplinary talents. Accordingly, this paper focuses on future development trends from four aspects, providing systematic solutions for a safe, efficient, and sustainable mining operation. Technological evolution will accelerate the formation of an intelligent ecosystem characterized by “standard-driven, data-empowered, equipment-autonomous, and human–machine collaboration”. Full article

Amidst the dual challenges of escalating ecological environmental pressures and economic transformation globally, green innovation emerges as a pivotal pathway toward achieving high-quality sustainable development. To elucidate how digitalization and novel productive forces synergistically drive the green transition, the research utilizes panel data from 30 provincial-level administrative regions in China spanning 2009 to 2022, constructing a green innovation efficiency measurement frame-work grounded in the Super Slack-Based Measure (Super-SBM)model, alongside a novel productive forces evaluation system based on the triad of laborers, labor objects, and means of production. Employing spatial difference-in-differences and double machine learning methodologies within a quasi-natural experimental design, the research investigates the causal mechanisms through which digital empowerment and novel productive forces influence regional green innovation efficiency. The findings reveal that both digital empowerment and novel productive forces significantly enhance regional green innovation efficiency, exhibiting pronounced positive spatial spillover effects on neighboring regions. Heterogeneity analyses demonstrate that the promotive impacts are more pronounced in eastern provinces compared to central and western counterparts, in provinces participating in carbon trading relative to those that do not, and in innovation-driven provinces versus non-innovative ones. Mediation analysis indicates that digital empowerment operates by fostering the aggregation of innovative talent and elevating governmental ecological attentiveness, whereas new-type productivity exerts its influence primarily through intellectual property protection and the clustering of high-technology industries. The results offer empirical foundations for policymakers to devise coordinated regional green development strategies, refine digital transformation policies, and promote industrial structural optimization. Furthermore, this research provides valuable data-driven insights and theoretical guidance for local governments and enterprises in cultivating green innovation and new-type productivity. Full article

Aim: This article explores the contributing factors to the decline in the number of auditors globally and aims to provide the consequences and possible recommendations. Auditors play a critical role in ensuring transparency, trust, and credibility of financial statements. However, the profession is experiencing a decline across the globe. The decrease in the number of registered auditors has become a pressing issue, raising concerns about the future of the assurance industry’s ability to maintain the number of registered auditors and continue providing assurance services to public and private entities or companies. Methodology: A scoping-review methodology was adopted to analyse the existing literature on the global decline in the number of auditors. This approach utilises research evidence to identify trends, challenges, and opportunities within the audit profession. Relevant studies were sourced from databases such as ScienceDirect, Google Scholar, and ResearchGate, as well as the grey literature. Main findings: This study identifies a combination of factors driving the decline of auditors globally. Economic pressures, such as cost reduction initiatives and outsourcing, have impacted the demand for traditional auditing services. Complex regulatory requirements have increased barriers to entry, while technological advancements, such as artificial intelligence, are disrupting traditional auditing roles. Additionally, the profession suffers from negative perceptions regarding workload, remuneration, and work–life balance, discouraging new entrants. Practical implications: The findings emphasise the urgent need for the auditing profession to adapt to evolving challenges. Stakeholders, including regulatory bodies and professional organisations, must address issues such as technological integration, career development pathways, and regulatory simplification. Enhanced public awareness campaigns and training initiatives are critical to attracting and retaining professional talent. Contribution: This study contributes to the limited body of knowledge on the global decline of auditors by creating a broad spectrum of evidence. It highlights actionable strategies to address the profession’s challenges and provides a foundation for future research on sustaining the relevance of auditors in a dynamic global economy. Full article

Context plays a critical role in talent development, yet most national analyses continue to rely on individual-centered talent concepts. This paper highlights the limitations of traditional models for assessing how countries support talent and proposes a resource-oriented, systemic alternative. Building on the Educational and Learning Capital Approach (ELCA), this study argues that national talent development depends on the availability, accessibility, and orchestration of both endogenous and exogenous learning resources across systemic levels. By analyzing the clumping patterns of excellence in STEM, the arts, sports, and innovation, this paper illustrates the unequal global distribution of talent-supportive environments. Seven key principles for effective resource orchestration are outlined, offering a framework for evaluating and strengthening national talent ecosystems. The paper concludes that systematic assessment and strategic enhancement of national resource landscapes are critical for sustainable talent development and for ensuring that human potential can flourish more equitably across countries. Full article

This study proposes a predictive framework that integrates machine learning techniques with Transactional Net Promoter Score (tNPS) data to enhance sustainable Human Resource management. A synthetically generated dataset, simulating real-world employee feedback across divisions and departments, was used to classify employee performance and engagement levels. Six machine learning models such as XGBoost, TabNet, Random Forest, Support Vector Machines, K-Nearest Neighbors, and Neural Architecture Search were applied to predict high-performing and at-risk employees. XGBoost achieved the highest accuracy and robustness across key performance metrics, including precision, recall, and F1-score. The findings demonstrate the potential of combining real-time sentiment data with predictive analytics to support proactive HR strategies. By enabling early intervention, data-driven workforce planning, and continuous performance monitoring, the proposed framework contributes to long-term employee satisfaction, talent retention, and organizational resilience, aligning with sustainable development goals in human capital management. Full article

Applying the resource-based view and dynamic capability theory, this study employs panel data analysis to examine how financial flexibility influences corporate innovation efficiency from an integrated resource-capability perspective. Analyzing data from Chinese A-share listed companies during 2013–2022, we discovered three key results. First, as an organizational liquidity buffer, financial flexibility reduces transaction costs, enhances incentives for technical talent retention, and better aligns executive compensation with innovation objectives. Second, as a manifestation of financial dynamic capabilities, financial flexibility significantly boosts a firm’s overall dynamic capabilities, thereby increasing innovation efficiency. Third, institutional investor engagement positively moderates this relationship through enhanced governance oversight. These investors strengthen governance oversight and reduce information asymmetry. Our findings advance the financial flexibility literature and offer actionable strategies to optimize innovation resource allocation and sustain R&D competitiveness. Companies should strategically build financial reserves to enhance innovation efficiency and achieve sustainable development. Full article

Amidst the intensifying impacts of global economic turbulence and external instabilities, the urgency to enhance urban sustainable development capabilities has become increasingly pronounced. Urban green-infrastructure investment, as a pivotal investment direction, plays a significant role in strengthening urban sustainable development capabilities. Based on panel data from 281 prefecture-level cities in China from 2010 to 2022, this study employs an empirical model to thoroughly investigate the impact of urban green-infrastructure investment on urban sustainable development and its underlying mechanisms. The research findings indicate the following: ① Urban green-infrastructure investment significantly promotes the enhancement of urban sustainable development levels, a conclusion that remains robust after undergoing robustness tests. ② The mechanism tests reveal that the enhancement of industrial chain resilience, ecological environment resilience, and talent agglomeration are crucial pathways through which urban green-infrastructure investment drives sustainable urban economic development. ③ Heterogeneity analysis finds that cities in the central and western regions, resource-based cities, cities with lower levels of urbanization, and cities with higher degrees of openness are more sensitive to the sustainable development-enhancing effects of green-infrastructure investment. ④ Spatial effect tests show that urban green-infrastructure investment has a positive spatial spillover effect on enhancing urban sustainable development levels. Based on these findings, it is recommended that cities increase investment in green infrastructure, optimize investment structures, promote the enhancement of industrial chain and ecological environment resilience, strengthen talent agglomeration effects, and leverage regional comparative advantages to invest in green infrastructure in a location-specific manner. This study not only validates the positive impact of urban green-infrastructure investment on urban sustainable development but also provides multi-perspective insights and references for analyzing the effects of urban green-infrastructure investment, offering policy support for achieving urban sustainable development. Full article

The COVID-19 crisis has turned teleworking from a minority option into an imposed and generalized way of life and has called into question its contribution to corporate sustainability. The present review is the first systematic review of the effects of telework on the environmental, social, and economic pillars of corporate sustainability in the scholarly literature published from 2020 to 2024. A total of 50 studies from three databases (Scopus, Science Direct, and Taylor and Francis) were reviewed according to PRISMA guidelines by both a data bibliometric analysis and narrative synthesis. The findings show that telework has the potential to improve environmental sustainability by decreasing commuting emissions (29–54% depending on its deployment intensity), but rebound effects such as increased residential energy use work against this (in part) positive regard. From a social point of view, telework is double-edged between helping balance personal and work life and possessing the potential to lead to greater isolation and aggravate existing inequalities, particularly in developing countries. Economically, it drives operational costs down and expands the talent pool, with micro-, meso-, and macroeconomic impacts. The possibility of telework as a tool of sustainable development is substantially moderated by organizational culture, digital infrastructure, sociodemographic reality, and even the physical environment. We argue that telework is a potentially transformative driver of corporate sustainability if deployed strategically within a given context; however, disciplinary fragmentation and methodological lacunae in common metrics remain, especially with regard to long-term effects and implementation in developing economies. Full article