https://www.brilliance-pub.com/ISS/issue/feedInsights in Social Science2026-10-05T12:59:02+08:00Open Journal Systemshttps://www.brilliance-pub.com/ISS/article/view/396Full-Process Digital Control Model and Practical Path for Multi-Business Physical Stores2026-08-17T15:52:24+08:00Zeng Jingye2368623495@qq.com<p>Although multi-business chain operation can expand customer groups and disperse operational risks, it is restricted by business heterogeneity, fragmented operations and inconsistent data standards. Traditional control and single-business digital solutions cannot adapt to large-scale operations, and existing research lacks a universal full-life-cycle closed-loop model. Based on the theories of full-life-cycle management, closed-loop data governance and system dynamics, this paper selects panel data of 127 mixed-business stores from 2021 to 2025 (Huber M & Fisher L., 2022), and conducts empirical research by adopting the entropy weight TOPSIS method, system dynamics simulation and mediating effect model. The study finds that data governance, intelligent decision-making, process closed-loop management and dynamic iteration can significantly improve store control efficiency; business adaptation exerts partial mediating effect, and the sensitivity of control parameters varies across different business formats. On this basis, this paper constructs a layered and adaptive implementation path, and verifies the feasibility of the model combined with enterprise cases. The research can fill the theoretical gap of digital control for multi-business stores, and provide theoretical support and replicable practical schemes for differentiated collaborative governance of chain enterprises.</p>2026-08-31T00:00:00+08:00Copyright (c) 2026 Insights in Social Sciencehttps://www.brilliance-pub.com/ISS/article/view/398Platform Strategy, Capital Operation and Industrial Resource Integration: Multi‑Dimensional Transmission Mechanism of Private Economy Empowered by Industrial Service Ecosystem2026-08-28T15:30:46+08:00Shi Chuan2368623495@qq.com<p>Private economy constitutes a vital subject for high‑quality development in China. Small‑ and medium‑sized private enterprises are generally confronted with development bottlenecks including factor mismatch, financing constraints and poor government‑enterprise connection. Traditional industrial service providers fail to satisfy their compound resource demands. Current academic research lacks a complete research framework for trust‑oriented non‑transactional industrial service ecosystems, and quantitative studies on the enabling mechanism of coupled capital and industrial resources remain scarce. Based on core theories such as resource dependence and signal transmission, this paper adopts 426 mixed industry samples from 2021 to 2025 and conducts empirical research using entropy‑weight TOPSIS and system dynamics simulation. The results show that multi‑layer platform strategy can empower the development of private enterprises through two mediating paths: capital operation and industrial resource integration. The coupling and synergy of the two paths exert a significant mediating effect, and private enterprises at different life‑cycle stages exhibit obvious heterogeneity in sensitivity to enabling paths. Accordingly, this paper constructs a hierarchically‑adapted implementation path and verifies model feasibility with platform cases. This research fills the theoretical gap concerning how trust‑based industrial service ecosystems empower private economy, and provides theoretical support and replicable practical schemes for the construction of market‑oriented industrial service platforms, high‑quality development of private enterprises, as well as industrial collaboration between local governments and enterprises.</p>2026-09-16T00:00:00+08:00Copyright (c) 2026 Insights in Social Sciencehttps://www.brilliance-pub.com/ISS/article/view/438A Study on the Effect of Digital Finance on Firm Employment2026-09-10T15:30:00+08:00Ma Xiaolinmaxiaolin11a@163.comDi Chunyumaxiaolin11a@163.comXing Yuecongmaxiaolin11a@163.com<p>Under the fast development of digital economy, the deep mixing of digital technology and financial system has created a new financial model called digital finance. This model is changing how firms use resources and make business decisions. Compared with traditional finance, digital finance uses big data, AI, and mobile internet to reduce information gaps, improve financial service efficiency, and make it easier for firms to get money. However, we still do not have enough micro-level evidence on how digital finance affects firm employment and through what channels. Using panel data of Chinese A-share listed firms from 2009 to 2024, together with the Peking University Digital Financial Inclusion Index, this paper studies the effect of digital finance on firm employment size. We also look at two possible channels: financing constraints and firm innovation. Our findings are: (1) Digital finance can significantly increase firm employment. This result stays strong after we control for firm fixed effects, year fixed effects, and many firm-level characteristics. (2) The mechanism analysis shows that digital finance raises employment mainly by easing financing constraints and promoting innovation activities. (3) The heterogeneity analysis shows that the employment effect differs across ownership types, technology levels, and regions. Firms with more resources and higher innovation ability benefit more. This paper expands the research on the economic effects of digital finance, adds new views to the study of digital economy and employment from the angle of financial resource allocation, and offers policy ideas for using digital finance to support the real economy and improve job quality.</p>2026-10-08T00:00:00+08:00Copyright (c) 2026 Insights in Social Sciencehttps://www.brilliance-pub.com/ISS/article/view/473“Technology Empowerment” and “Value Guidance” of English Translation Teaching in Vocational Universities in the Age of Artificial Intelligence2026-10-05T12:59:02+08:00Liao Ling838799985@qq.com<p>In the AI era, a new ecology of man-machine collaborative education has gradually formed, and artificial intelligence translation technology has emerged. Driven by translation technology and educational technology, translation teachers, as the key subjects in the implementation of translation education, are facing brand-new challenges, and urgently need to improve their technical ability, digital ability, ideological and political teaching ability. English translation teachers in vocational universities should be clear about the necessity of “value guidance” in translation teaching, realize the influence of “technology empowerment” on “value guidance” and realize the dialectical unity of “technology empowerment” and “value guidance” in English translation teaching. In addition, translation teachers should deepen their mother tongue and improve their Chinese literacy. They should master technology, hold the bottom line of humanities, educate people with culture and moral education, and cultivate new translation talents with both patriotic feelings and core competitiveness.</p>2026-10-12T00:00:00+08:00Copyright (c) 2026 Insights in Social Sciencehttps://www.brilliance-pub.com/ISS/article/view/465Empirical Analysis of Engineering‑Accounting Integration Model for Reducing Cost‑Related Financial Losses in Infrastructure Delivery Phase2026-09-28T16:46:53+08:00Chen Peidi2368623495@qq.com<p>Hidden costs and financial losses during the infrastructure delivery phase constitute core drivers of public capital waste and inefficient investment, whereas the traditional separate governance mode for engineering and finance presents prominent governance deficiencies. Based on the engineering‑finance linkage governance theory, this paper adopts cross‑border panel data of 106 large‑scale public infrastructure projects in Australia, North America and the European Union from 2012 to 2022 (Ortiz, S.S., Kang, K., Hubbard, B. & Besiktepe, D., 2023). Two‑way fixed‑effect panel regression and the PSM‑DID model are employed to systematically identify the governance effect, mechanism and boundary conditions of the engineering‑accounting integration model on cost‑related financial losses in the infrastructure delivery phase, which are further verified via mediating‑effect test, heterogeneity analysis and multi‑dimensional robustness tests. The empirical results show that the engineering‑accounting integration model significantly reduces the ratio of cost‑related financial losses in the delivery phase by 8.9 percentage points (p<0.001). Mechanism tests indicate that this governance effect is achieved mainly through two pathways: restraining unidentified implicit liabilities (mediating contribution = 42.1 %) and curbing unreasonable completion claim expenditures (mediating contribution = 36.4 %). The two pathways jointly explain 78.5 % of the total effect. Heterogeneity analysis demonstrates that projects funded by federal finance and projects with high design‑change frequency obtain stronger governance effects, with financial‑loss reductions of 11.2 % and 10.1 % respectively. This study unpacks the mechanism black box of infrastructure financial governance, and provides quantitative evidence and practical references for delivery‑risk management of federal infrastructure projects under the framework of the U.S. Bipartisan Infrastructure Law.</p>2026-10-12T00:00:00+08:00Copyright (c) 2026 Insights in Social Sciencehttps://www.brilliance-pub.com/ISS/article/view/467Feedback Use in Process-Based Assessment in University Piano Courses2026-09-28T16:59:03+08:00Cui Chencuichen226@gmail.com<p>Process-based assessment has become an area of interest in research on assessment in university piano courses. However, the fact that assessment takes place during the learning process does not necessarily mean that the information generated through assessment will naturally inform students’ subsequent learning. Existing studies have examined the relationship between feedback and learning from various perspectives, including formative assessment in piano courses, teacher feedback, private practice, technology-mediated feedback, self-regulation, and subsequent performance. Building on this research, the present study focuses on a specific issue concerning feedback use in process-based assessment in university piano courses: after teachers provide evaluative feedback in class, how do students understand this information, continue to address it during independent practice between lessons, and reassess changes in the problems previously identified through subsequent performance? Within the scope of the literature reviewed in this study, previous research has addressed several components of this process, while relatively limited attention has been given to the continuous learning process as a whole. Drawing on research on formative assessment, feedback literacy, feedback in music performance, and music practice, this study examines how teachers identify problems that require priority attention on the basis of students’ actual performance, how students understand feedback and continue to address these problems during independent practice, and how subsequent performance provides information for reassessing changes in previously identified problems. This study argues that process-based assessment in university piano courses should attend not only to whether teachers provide feedback, but also to whether students understand the assessment information they receive, continue to address the problems identified in class during independent practice, and reassess changes in those problems through subsequent performance. Focusing on feedback use can contribute to a more detailed understanding of the connections among classroom assessment, students’ independent practice, and subsequent performance.</p>2026-10-13T00:00:00+08:00Copyright (c) 2026 Insights in Social Science