This investigation explores the intricate relationship between government support, foreign investment, and research and development (R&D) commitment in China’s strategic sectors, with a focus on the crucial role of government assistance in spurring innovation in small-scale enterprises. Utilizing advanced deep learning and data mining techniques, the impact of government subsidies and tax incentives on R&D dedication in burgeoning strategic firms is meticulously analyzed, particularly in the context of varying levels of external financing. The findings reveal a significant, multifaceted influence of government financial aid and foreign capital on R&D endeavors. A pronounced, positive correlation between government financial backing and R&D activities emerges, with the magnitude of this relationship being substantially modulated by the degree of external investment. This underscores the importance of strategic financial orchestration in nurturing research and innovation within pivotal sectors. Insights gleaned from this study are of paramount importance for policy formulators and business leaders, offering a refined comprehension of the synergistic interplay between government incentives, foreign investment, and R&D commitment. These findings are pivotal for promoting economic growth and technological progress in China’s key industries.
The viability of numerous businesses in today’s competitive landscape is significantly influenced by their ability to successfully implement outsourcing strategies, particularly in the realm of logistics. Despite the extensive body of literature exploring the multifaceted dimensions of outsourcing, there remains a notable gap in research specifically addressing logistics outsourcing in distinct markets through in-depth case studies. This analysis seeks to bridge this gap by providing a comprehensive examination of the logistics outsourcing process, as evidenced by a case study within the Serbian market. The research delineates the essential steps required for the establishment of a productive logistics partnership, encompassing the identification of needs, selection of a trusted Logistics Provider (LP), integration of logistics solutions with existing IT systems, delegation of goods handling, assignment of intralogistics responsibilities to maintain compliance with prevailing standards, specification of shipping and delivery requisites, and the continuous monitoring of activities and key performance indicators (KPIs). Through a detailed exploration of transportation, customs clearance, warehousing, customs declaration filing, document exchange, software implementation, and cargo insurance, the study illuminates the intricate processes involved. It is highlighted that the key advantages of such collaborations include enhanced efficiency and streamlined operations, while potential risks involve dependency and loss of control over logistics functions. The distinctiveness of this study lies in its comprehensive approach to outsourcing, encompassing seven critical activities, as opposed to the existing literature which predominantly focuses on the outsourcing of singular services. By offering both theoretical insights and practical implications, this research not only contributes to the existing body of knowledge but also paves the way for future investigations into logistics outsourcing, with a particular emphasis on the Serbian market.
The accelerating process of globalization has led to an increase in freight transport volumes, exacerbated road congestion, and heightened environmental concerns, underscoring the imperative for sustainable and alternative transport solutions. Intermodal transport, which amalgamates the benefits of various modes of transportation, emerges as a paramount solution to these challenges. At the core of intermodal transport lies the intermodal terminal, whose efficiency and efficacy are critically contingent upon the transshipment technology employed. This investigation is dedicated to the evaluation of transshipment technologies within intermodal terminals. It is recognized that the selection of transshipment technology necessitates consideration of diverse criteria, mandating the application of appropriate multi-criteria decision-making methodologies. To address this complexity, a novel hybrid model, integrating Fuzzy Step-Wise Weight Assessment Ratio Analysis (FSWARA) with Axial-Distance-Based Aggregated Measurement (ADAM), is proposed. The efficacy of this model is demonstrated through its application in assessing various transshipment technologies, with an emphasis on optimizing the decision-making process in the selection of the most appropriate technology. This study contributes to the body of knowledge by providing a comprehensive framework for the evaluation of transshipment technologies in intermodal terminals, facilitating enhanced decision-making in the context of sustainable and efficient intermodal transport systems.
The escalating migration from rural to urban locales necessitates an augmented demand for the workforce, local utility services, and mechanization to sustain a balance conducive to public health. This investigation delineates the pivotal role of human resources in executing daily operations required for the upkeep of public green and asphalted areas within Doboj, Bosnia and Herzegovina. It is posited that teamwork and the requisite competencies of the workforce are integral to the utility company’s efficacy and the establishment of conditions requisite for addressing business tasks delineated on weekly and monthly schedules. A cohort of 20 personnel, tasked with the aforementioned responsibilities, was segmented into three categories, predicated upon their skills and capability to fulfil the designated tasks within specified temporal bounds. A novel hybrid Multi-Criteria Decision-Making (MCDM) model, integrating Improved fuzzy Stepwise Weight Assessment Ratio Analysis (IMF SWARA) with Measurement Alternatives and Ranking according to Compromise Solution (MARCOS), was employed to appraise employees across the designated categories. Decision-makers articulated five criteria, which were quantified via the IMF SWARA methodology. Subsequently, the appraisal of worker categories through three discrete models was undertaken employing the MARCOS technique. Outcomes for each category were individually derived and subjected to verification tests, revealing that criterion significance markedly influences human resource ranking. This study underscores the crucial intersection between environmental stewardship and human resource management, advocating for a systematic approach to urban maintenance that leverages MCDM techniques to optimize workforce performance.
To understand the mechanism of innovative work behaviour (IWB) in China’s higher education. With a total of 495 valid responses from six universities in China, this study utilised Amos26 for data analysis. The structural equation model indicates that organisational politics (OP) significantly influences academics’ knowledge sharing behaviour (KSB) (β = -0.220, p < 0.000) and IWB (β = -0.126, p < 0.005). The mediating effect of knowledge sharing is confirmed (β = -0.193, p < 0.003). This study confirms the detrimental effect of OP on KSB and IWB within Chinese high education institutions. Consequently, to foster innovation among academics, management should consider controlling OP within the organisational environment. Standardising the supervision and management of executive power, ensuring that administrative power operates transparently. Additionally, delineating between OP and non-OP behaviours will mitigate the negative impact of OP on innovation.
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