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The aim of this study is to simulate the self-organized evolution mechanism of inner innovation of large-scale construction enterprises (LSCE) under different contexts. Based on NK stochastic combinatorial optimization model with two parameters (N, K), this study proposes three modules—ambidexterity, punctuated equilibrium, and automation—to simulate the change behaviors of the inner innovation system. Furthermore, this study analyses the influence of factor correlation on inner innovation performance under discusses nine different combination situations. The research results show that (a) regardless of how the relationship strength changes, fitness increases with an increasing K value; and (b) the comparison of optimization modes show that the punctuated equilibrium mode can guarantee the long- and short-term inner innovation performance LSCE. This study therefore reveals the mutual effects of the factors in the inner innovation system in LSCE and provides an effective model for internal systems analyses in the construction industry and in other sectors.

Platform-based companies are rapidly emerging and occupy major positions in the global market. In addition, the business model that relies on digital technology makes platform-based companies sustainable. This paper empirically examines the impact of internationalization breadth on corporate performance and explores the moderating role of the platform enterprise network effect and innovation investment. Annual panel data from listed Chinese platform-based companies between 2012 to 2020 were used to also verify the scale of overseas companies’ association and social networks and the moderating effect of centrality and innovation research and development (R&D) investment on these two factors. The results indicate that the irregular internationalization rhythm of platform-based companies was negatively correlated with corporate performance, and the association network and the social network centrality of overseas companies had a positive moderating effect. Innovative R&D investment could help platform-based companies expand overseas to improve their corporate performance, and its moderating effect was more significant for platform companies in the early stages of internationalization. In terms of the internationalization pace, overseas network construction, and innovative R&D investment strategies, this paper provides valuable suggestions for platform-based companies to expand internationally and improve their corporate performance.

As absolute poverty in China, measured by the current standard, is being eliminated, the focus of future poverty reduction projects will necessarily shift to addressing relative poverty. Contiguous poverty areas have been identified in Hebei province around Beijing and Tianjin (HABT), and this is not conducive to the coordinated development of the Beijing-Tianjin-Hebei region. The dynamic identification of relative poverty at the county level within the region must be the basis for formulating scientific strategies for poverty reduction. Night light (NTL) data can reveal socio-economic information and reflect human activities, and has a wide range of other applications for evaluating and identifying poverty. For this reason, NPP/VIIRS (Visible Infrared Imaging Radiometer Suite equipped on the Suomi National Polar orbiting Partnership satellite) NTL data from 2012 to 2020 were corrected, and NTL data for HABT were obtained. A multidimensional relative poverty index (MRPI) that assesses being “free from worries over food and clothing and having access to compulsory education, basic medical services, and safe housing” using social statistical data was created with the analytic hierarchy process and entropy weight method. A panel regression model with fixed effects was established for MRPI and corrected NPP/VIIRS NTL data. The R2 of fitting was 0.6578 and confirmed a strong correlation between MRPI and corrected NPP/VIIRS NTL data. Based on this, the MRPI estimation model was constructed based on the MRPI and corrected NPP/VIIRS NTL data, and passed the accuracy test. Finally, using the national list of poverty counties, it was verified that, at the county scale, the corrected NPP/VIIRS NTL data could effectively identify areas of relative poverty. This study lays the foundation for the use of NPP/VIIRS NTL data in the identification of areas of relative poverty. It provides a feasible method and data reference for analyzing relative poverty at a smaller scale. The dynamic identification of areas of relative poverty can also provide a basis for formulating scientific poverty reduction strategies.

This study hypothesizes that employees’ positive perceptions of corporate social responsibility (CSR) activities at the individual level have a negative effect on employee deviance—a negative job-related behavior—and that anomie plays a mediating role in this relationship. In order to verify the relationship, this study conducts an empirical analysis with a questionnaire survey on employees of firms that implement CSR activities at the company level. Based on Social identity theory, this study examines the causal relationship between the employees’ perceptions of CSR activities and their deviance, and mechanisms by which anomie decreases in the process. The findings are as follows. First, employees’ perceptions of CSR activities had a negative effect on employee deviance. Second, employees’ perceptions of CSR activities had a negative effect on anomie. Third, anomie had a positive effect on employee deviance. Fourth, anomie fully mediated the relationship between employees’ perceptions of CSR activities and employee deviance. This study is the first to document this relationship, which has great practical and academic significance, as it indicates the importance for companies to consider employees’ perceptions of CSR activities. In addition, the study identifies the mediating role of anomie as mentioned above. The results suggest that methodological considerations of CSR awareness enhancement at the company level be discussed more in depth, helping top management and middle managers understand that enhancing employees’ positive perceptions of CSR activities should be the first priority for reducing collective normlessness under the pressure of goal attainment and resolving ethical conflicts among employees.

Globally, sustainable procurement is seen as a crucial component of public sector sustainability initiatives. This research investigates the internal and external barriers to the implementation of sustainable procurement in China’s public sector. Primary data for this research were gathered using survey techniques from 287 respondents who were procurement officials at higher education institutions that are part of the public sector. Twelve hypotheses were developed based on the conceptual model and literature review and evaluated using SEM-AMOS in order to look at the correlations between the variables. The study’s findings demonstrate that employee competency, employee motivation, training programs, financial aspects, management commitment, government rules and regulations, unavailability of green products, supplier capacity, and third-party pressure statistically influence the sustainability of public procurement. At the same time, green practices, the ineffectiveness of green products, and prices of green items had statistically no significant influence on sustainability in public procurement. This is a crucial effort to identify the factors that influence sustainable purchasing in China’s public colleges. This study draws interest from stakeholders and adds to the scant body of knowledge on sustainability in developing nations. In addition, this research is crucial for creating a roadmap for China’s long-term sustainable development in the area of procurement.

With the rapid development of materials science and construction technology, the concept of sustainable building (SB) and the Building Sustainability Assessment Tool (BSAT) have also evolved and developed. Understanding the development of BSAT and SB is of great significance to the sustainable development of the construction industry. This research used the bibliometric method to analyze the development and evolution in the relevant literature on SB and BSAT from 1990 to 2021, and the correlations and differences between them were investigated. We found that there are many common trends in the development of research efforts in SB and BSAT: (1) they focused solely on the environment, in the early days, and only later considered economic and social impacts; (2) the scales with which they are concerned continue to expand, from individual buildings to communities and even cities; (3) key areas, such as energy, materials, resources, indoor environmental quality, high-tech applications, adaptability, and concern for people are being given more attention by both SB and BSAT. On the other hand, the difference between them is that SB research focuses on more macro aspects, such as policy, culture, climate change, while BSAT research is more concerned with micro aspects, such as its system of tools. Furthermore, some current research gaps in the BSAT field are identified, clarifying its future research directions. By linking the evolution of the SB concept and the development of the BSAT research field, this review provides a new and valuable perspective for the sustainable assessment of the construction industry, which, itself, is conducive to the sustainable transformation of this industry, which could contribute greatly to the mitigation of global climate change.

This paper takes Taoxichuan Cultural and Creative Street as a case study. It explores how enterprises activate the value of “industrial heritage” resources and achieve sustainable development from the perspective of affordance theory. Research findings indicated that: (1) the creation of a culturally recognized context performs a vital role in activating the industrial heritage; (2) the evocation of industrial heritage resources is a dynamic process from the realization of fundamental values to the actualization of high-level values; and (3) the evoked industrial heritage resources can achieve sustainable corporate development. Additionally, the research findings provide reference for enterprises to realize high-level values of industrial heritage resources by creating contexts to transform them into sources of innovation in the post-pandemic era.

The ability of A-share listed companies to adhere to the digital economy and achieve long-term corporate benefits amidst an uncertain external environment through financial digital transformation remains a crucial concern for entrepreneurs and scholars. The objective of this study was to scrutinize the effect of financial digital transformation on financial performance among 2566 of China’s A-share listed companies in the hopes of providing informative recommendations for businesses that are currently undertaking or planning to undertake financial digital transformation. To investigate the mechanism by which financial performance among A-share listed companies was influenced by digital transformation, a panel data regression model was utilized. The findings suggest that, first and foremost, financial digital transformation significantly boosts corporate financial performance for A-share listed companies, and this enhancement is sustainable over time. For every 1% growth in financial digital transformation, corporate financial performance improves by 1.1%. Corporate financial performance is projected to improve by 29.8% during the next three financial years. Secondly, information symmetry and operational expenses function as intermediaries in the financial digital transformation process that affects firm financial performance. For every 1% increase in financial digital transformation, the information symmetry level of firms grows by 15.1%, while the operational cost rate declines by 0.8%. Thirdly, information disclosure and operating costs play a chained intermediary role. Every 1% increase in the level of information symmetry reduces the operating cost rate by 2.3%. Fourthly, in comparison to enterprises in eastern provinces, businesses located in central and western provinces are better positioned to improve their financial performance by undertaking a financial digital transformation.