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In the 40 years of reform and opening-up toward a more rational micro-economic structure, the proportion of output of state-owned enterprises shows a declining trend. Over the past decade, on one hand, the operational efficiency of state-owned enterprises has tended to be low as compared to other ownership enterprises; on the other hand, the asset–liability ratio of state-owned enterprises has risen against the trend, and still remains high under the recent national policy of “deleveraging.” The paper aims to discuss this issue.

This indicates that the inefficiency of state-owned enterprises that once hindered China’s economic development has not yet been fundamentally solved, and the task of deepening state-owned enterprises reform is still arduous.

In the process of establishing China’s modern economic system, there will be some “new state-owned enterprises” growing into world-class ones. This requires more effort in enhancing the capacity for independent innovation, improving the level of organizational control, expanding international market opportunities and fulfilling enterprise social responsibilities with high standards.

It is more appropriate for China to have a micro-economic structure in which public ownership predominates and diverse forms of ownership enjoy common prosperity and development.

The major marine functional zoning plan (MMFZP) and marine functional zoning (MFZ) are two important kinds of marine spatial planning (MSP) in China. Their developing and implementation are integral to rational marine utilization and sustainable marine development. The purpose of this research is to study how these two kinds of MSP work in coordination in China.

This paper reviewed the present status of MSP research in China and abroad and presented a comparative study of the MMFZP and MFZ from different aspects, analyzing the relationship between the two.

The study found obvious differences between the MMFZP and MFZ, with respect to their concept and connotation, purpose and goal, as well as zoning methods and zoning functions. MFZ provides reference with respect to data, zoning methods and partial zoning results for the MMFZP, which in turn takes measures for addressing issues faced by MFZ and promotes the national MSP work.

In the process of developing and implementing the two zoning plans, this paper emphasizes the necessity to strengthen data sharing, reference of zoning techniques and coordination in zoning work, which will help to improve China's marine spatial management.

The focus of this paper is to further improve the implementation safeguard measures of the National Plan for Main Functional Zones of Ocean (NPMFZO) based on the implementation status of the national marine main functional area plan after the promulgation of the existing marine planning implementation safeguard measures, aiming at the problems existing in the implementation of the plan, to help the implementation of the plan more effective.

This paper reviews the historical process of the preparation and implementation of NPMFZO, analyzes the problems existing in the implementation of this plan, and puts forward some measures and suggestions under the background of the new national territory planning system.

In the new period, the authors should focus on building the evaluation system of planning implementation, strengthening the coordination with other plans, improving the supporting policies of planning and ensuring the effective implementation of the main functional zoning of oceans under the territorial spatial planning system.

This paper reviews some problems existing in the implementation of the NPMFZO and puts forward policy suggestions to ensure the implementation of the plan in the new period.

The objective of this research is to investigate the barriers impacting the integration of Industry 5.0 (I5.0) in supply chain sustainability. By understanding these challenges, this study aims to provide valuable insights that can guide organizations in successfully implementing the transformative potential of I5.0. The ultimate aim is to improve operational efficiency and advocate for sustainable practices within supply chains.

Research has used industry expert interviews, a comprehensive literature review and the decision-making trial and evaluation laboratory approach for analysis. Industry expert interviews serve to capture first-hand insights from professionals well versed in the field, providing practical perspectives on the barriers to I5.0 adoption.

This study identifies technological challenges, organizational barriers, regulatory impediments and economic constraints as pivotal factors inhibiting the widespread adoption of I5.0 in supply chain sustainability.

This research serves as a foundation for future investigations into overcoming barriers to I5.0 adoption, guiding scholars and practitioners in refining strategies for successful implementation.

The findings offer practical insights for organizations aiming to adopt I5.0, informing decision-makers on key challenges and facilitating the development of targeted strategies to overcome them.

The social implications lie in fostering sustainable business practices through the adoption of I5.0, contributing to environmental responsibility and societal well-being.

This research contributes original insights from practitioners, policymakers and researchers in navigating the complex landscape of I5.0 adoption, ensuring meaningful contributions to both academia and industry.

The ancient town of Lijiang is a representative place of ethnic minorities in China’s southwest border area jointly built by many ethnic groups. Its rich and diversified history, culture and architecture as well as its artistic and spiritual values need to be better retained and explored.

The protection and inheritance of Lijiang’s cultural heritage will be improved through the construction of digital memory resources. To guide Lijiang’s digital memory construction, this study explores strategies of digital memory construction by analyzing four case studies of well-known memory projects from China and America.

From the case studies analysis, factors of digital memory construction were identified and compared. Factors led to the discussion of strategies for constructing the digital memory of Lijiang within its design, construction and service phases.

The ancient town of Lijiang is a famous historical and cultural city in China, and it is also a representative place of ethnic minorities in the border area jointly built by many ethnic groups. The rich culture should be preserved and digitalized to offer better use for the whole nation.

This paper aims to examine how verbal responses (denials vs apologies) following a trust violation in cooperative relationships influence reconciliation by changing attributions of responsibility for the transgression and transgressor’s perceived integrity. Additionally, the moderating role of perceived sincerity of the response is examined.

Two experimental studies were conducted with 465 participants. Hypotheses were tested using ordinary least squares (OLS) regressions and moderated serial mediation analyses with bootstrapping procedures.

In the occurrence of integrity-based trust violations, denials are more effective than apologies to repair trust. The positive indirect effects of these verbal responses on reconciliation are explained by a two-part mediating mechanism (attribution of responsibility followed by transgressor’s perceived integrity). Additionally, when responses are perceived as highly credible, denials are much more effective in deflecting blame than apologies.

This study contributes to the literature on trust repair by examining when and why managers’ verbal responses to breaches of trust may be more or less effective in restoring cooperative relationships.

Managers must be aware that their perceived integrity following a breach of trust is influenced by the level of responsibility taken. Therefore, they should choose wisely which defensive tactics (apologies or denials) to use.

As trust plays a central role in many cooperative relationships, choosing an appropriate response after a transgression is critical to solving conflicts both within and between organizations.

This work contributes to the reconciliation literature by uncovering the underlying cognitive mechanisms and boundary conditions by which different verbal responses influence reconciliation.

This article proposes an architecture of an intelligent and autonomous recommendation system to be applied to any virtual learning environment, with the objective of efficiently recommending digital resources. The paper presents the architectural details of the intelligent and autonomous dimensions of the recommendation system. The paper describes a hybrid recommendation model that orchestrates and manages the available information and the specific recommendation needs, in order to determine the recommendation algorithms to be used. The hybrid model allows the integration of the approaches based on collaborative filter, content or knowledge. In the architecture, information is extracted from four sources: the context, the students, the course and the digital resources, identifying variables, such as individual learning styles, socioeconomic information, connection characteristics, location, etc. Tests were carried out for the creation of an academic course, in order to analyse the intelligent and autonomous capabilities of the architecture.

This paper aims to explore the mechanism of influence on the subordinate's sense of gain at work (SGW) in terms of the coaching leadership behavior (CL), supervisor-subordinate guanxi (SSG) and commitment-based practice of human resource management (CHRM).

Based on the survey of 584 employees from 50 firms operating in China, this study explores the effect of CL on employees’ SGW, which concerns two dimensions: sense of material gain and sense of spiritual gain.

Results show that the CL has a significant positive influence on both the subordinate’s sense of material gain and his/her sense of spiritual gain, in which there exists a mediating effect of SSG and moderating effects of CHRM for the influence.

This study not only develops the theory of SGW, but also provides a scientific basis and policy suggestions for employers to implement in order to enhance their employees’ SGW.

Few integrative studies have examined the impact of CL on employees’ SGW. Based on the Need-to-Belong Theory, this study adds new empirical evidence and constructs a theoretical model for the mechanism of influence on the SGW, examines the influence of CL on the subordinate’s SGW and finds a mechanism of transmission (SSG) and a boundary condition (CHRM) for the influence.

This study investigates the relationships among digital transformation, technological innovation, industry–university–research collaborations and labor income share in manufacturing firms.

The relationships are tested using an empirical method, constructing regression models, by collecting 1,240 manufacturing firms and 9,029 items listed on the A-share market in China from 2013 to 2020.

The results indicate that digital transformation has a positive effect on manufacturing companies’ labor income share. Technological innovation can mediate the effect of digital transformation on labor income share. Industry–university–research cooperation can positively moderate the promotion effect of digital transformation on labor income share but cannot moderate the mediating effect of technological innovation. Heterogeneity analysis also found that firms without service-based transformation and nonstate-owned firms are better able to increase their labor income share through digital transformation.

This study provides a new path to increase the labor income share of enterprises to achieve common prosperity, which is important for manufacturing enterprises to better transform and upgrade to achieve high-quality development.

Organizations in many domains generate a considerable amount of heterogeneous data every day. Such data can be processed to enhance these organizations’ decisions in real time. However, storing and processing large and varied datasets (known as big data) is challenging to do in real time. In machine learning, streaming feature selection has always been considered a superior technique for selecting the relevant subset features from highly dimensional data and thus reducing learning complexity. In the relevant literature, streaming feature selection refers to the features that arrive consecutively over time; despite a lack of exact figure on the number of features, numbers of instances are well-established. Many scholars in the field have proposed streaming-feature-selection algorithms in attempts to find the proper solution to this problem. This paper presents an exhaustive and methodological introduction of these techniques. This study provides a review of the traditional feature-selection algorithms and then scrutinizes the current algorithms that use streaming feature selection to determine their strengths and weaknesses. The survey also sheds light on the ongoing challenges in big-data research.