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This study aims to discuss whether the lasting Confucian philosophy could be used in responding to the consequences of technological impacts on jobs in the Age of Robots from a human resource management and development (HRMD) perspective.

Related literature concerning traditional Confucian philosophy and the power of Confucianism was examined. Key perspectives on this topic relating to smart technology were analyzed. Whether Confucian humanity could be used to promote ethical behavior and continuous improvement in the workplace in the Age of Robots was then discussed.

Three propositions were made: humans can better coexist with artificial intelligence (AI) and robots if humanity is valued, cultivated and practiced; some concepts of traditional Confucian philosophy can be applied to support management, employees and organizations to go through the technology-driven social change; and managements and human resource professionals can be the change agent and adopt Confucian paradigm for employees’ and organizational effectiveness in the Age of Robots.

Future research on human–machine interactions and strategic plans to apply Confucian humanity on job restructuring in robotic workplace is recommended.

For organizational development implication, human resource professionals may identify business opportunities, develop human–machine interactions strategic plans, build out creative process and promote moral behaviors and ethical conduct with a growth mindset.

For corporate social responsibility, management and human resource professionals can upskill and reskill employees to develop talents, avoid technology unemployment and advance their human skills to be competitive in the robotic workplace.

This study highlighted how human workers should work like a human, not as a robot, by building a lifelong character through a moral refinement process for self-fulfillment, social responsibility and social stability.

In the context of constructing an integrated national strategic system, collaborative innovation among enterprises is the current social focus. Therefore, in order to find the interest relationship between multiple game subjects, to explore the influencing factors of collaborative innovation of civil-military integration enterprises. This paper constructs a collaborative innovation mechanism for military–civilian integration involving four game subjects (military enterprises, private enterprises, local governments, and science and technology intermediaries). It aims to solve and reveal the evolutionary game relationship among the four parties.

To explore the mechanism of military–civilian collaborative innovation involving four players, this study employs game theory and constructs an evolutionary game model for collaborative innovation with the participation of military enterprises, civilian enterprises, local governments, and technology intermediaries. The model reveals the evolutionary game patterns among these four entities, analyzes the impact of various parameters on the evolutionary process of the game system, and numerical simulation is used to show these changes more specifically.

The research findings demonstrate that active government subsidies promote cooperation throughout the system. Moreover, increasing the input-output ratio of research and development (R&D), the rate of technological spillovers, and the R&D investment of civilian enterprises all facilitate the tendency toward cooperation within the system. However, when the government chooses to actively provide subsidies, increasing R&D investment in military enterprises may hinder the tendency toward cooperation. Furthermore, central transfer payments, government punishment from the central government, and an increase in the information conversion rate of technology intermediaries may suppress the rate of cooperation within the system.

Most of the previous studies on the collaborative innovation of military–civilian integration have been tripartite game models between military enterprises, private enterprises, and local governments. In contrast, this study adds science and technology intermediaries on this basis, reveals the evolution mechanism of collaborative innovation of civil-military integration enterprises from the perspective of four-party participation, and analyzes the factors influencing the cooperation of the whole system. The conclusion of this study not only enriches the collaborative innovation evolution mechanism of military–civilian integration enterprises from the perspective of multiple agents but also provides practical guidance for the innovation-driven development of military–civilian integration enterprises.

This paper proposes a framework for director evaluation in the context of Chinese state-owned enterprises (SOEs), taking into account the influences of traditional and modern Chinese ideologies.

Following the Delphi method, a series of semi-structured interviews were conducted with Chinese SOE directors.

The framework used has been validated by examining seven dimensions of virtue and four dimensions of competence functions in Chinese SOEs. Effective and representative characteristics of each dimension are identified through interviews.

First, through this research, indicators of virtue have been materialized and those of competence have been specified in a broader range. Second, this research provides advice for training of candidate directors whose experience were in private firms before they step in as SOE directors.

With recent advances in artificial intelligence, the hospitality industry has introduced the concept of unmanned smart hotels staffed by service robots instead of human employees. Research is needed to understand consumers’ receptivity to such an innovation. This paper examines factors associated with consumers’ potential resistance to using automated service hotels via two sequential studies. Given that younger generations of consumers are typically early adopters of advanced technology and innovative services, our sampling approach focused on this consumer group.

Two studies were conducted. Study 1 proposed and empirically tested a theoretical model. Results revealed that attitude, subjective norms and perceived behavioral control each positively influenced individuals’ intentions to use unmanned smart hotels. In Study 2, we further investigated aspects informing perceived security, a key variable in the use of unmanned smart hotels.

Findings showed how people’s beliefs about unmanned smart hotels and security control assurances led to perceived security. These perceptions were shaped by perceived physical risks, privacy concerns, website design and hotel reputation. Overall, this research provides theoretical and practical implications for various stakeholders associated with unmanned smart hotels.

Findings of this study suggested that managers of unmanned smart hotels should design user-friendly, secure processes and offer comprehensive support resources to enhance customer experience and usage.

The findings provide a holistic understanding of consumers’ receptivity to unmanned smart hotels.

This study discusses the protection of traditional villages and understand the role, policy environment and characteristics of traditional village protection. This study also constructs an analytical framework of “historical timing - policy orientation” to study the development process and policy evolution of traditional village protection in China.

This study selects the policy documents related to traditional village protection since 1980 as the research samples to explore the origin and evolution of traditional village protection in China. Then, the paper systematically combs the temporal evolution of the policy theme and orientation at each stage, which would provide a reference direction for the protection and development of traditional villages.

The interpretation of traditional village protection and its institutional background can be divided into three stages: relying on the protection system of historical and cultural towns and villages (1982–2012) and the stage of construction and improvement of traditional villages protection system (2012–2017). After 2017, traditional village protection entered a new rural revitalization journey.

This study is limited to: documents issued from 1982 to the end of 2022; Central Committee of the Communist Party of China, the State Council, and central ministries and administrations directly governing the protection of traditional villages; policies that can directly reflect the central government’s attitude towards protecting traditional villages; and excluding the documents for some particular regions and particular problems.

This study fulfills as the guidance of traditional village protection and development in different periods.

The paper aims to propose an innovative two-stage decision model to address the sustainable-resilient supplier selection and order allocation (SSOA) problem in the single-valued neutrosophic (SVN) environment.

First, the sustainable and resilient performances of suppliers are evaluated by the proposed integrated SVN-base-criterion method (BCM)-an acronym in Portuguese of interactive and multi-criteria decision-making (TODIM) method, with consideration of the uncertainty in the decision-making process. Then, a novel multi-objective optimization model is formulated, and the best sustainable-resilient order allocation solution is found using the U-NSGA-III algorithm and TOPSIS method. Finally, based on a real-life case in the automotive manufacturing industry, experiments are conducted to demonstrate the application of the proposed two-stage decision model.

The paper provides an effective decision tool for the SSOA process in an uncertain environment. The proposed SVN-BCM-TODIM approach can effectively handle the uncertainties from the decision-maker’s confidence degree and incomplete decision information and evaluate suppliers’ performance in different dimensions while avoiding the compensatory effect between criteria. Moreover, the proposed order allocation model proposes an original way to improve sustainable-resilient procurement values.

The paper provides a supplier selection process that can effectively integrate sustainability and resilience evaluation in an uncertain environment and develops a sustainable-resilient procurement optimization model.

Knowledge sharing in online health communities (OHCs) disrupts consumers' health information-seeking behavior patterns such as seeking health information and consulting. Based on social exchange theory, this study explores how the two dimensions of experts' free knowledge sharing (general and specific) affect customer transactional and nontransactional engagement behavior and how the quality of experts' free knowledge sharing moderates the above relationships.

We adopted negative binomial regression models using homepage data of 2,982 experts crawled from Haodf.com using Python.

The results show that experts' free general knowledge sharing and free specific knowledge sharing positively facilitate both transactional and nontransactional engagement of consumers. The results also demonstrate that experts' efforts in knowledge-sharing quality weaken the positive effect of their knowledge-sharing quantity on customer engagement.

This study provides new insights into the importance of experts' free knowledge sharing in OHCs. This study also revealed a “trade-off” between experts' knowledge-sharing quality and quantity. These findings could help OHCs managers optimize knowledge-sharing recommendation mechanisms to encourage experts to share more health knowledge voluntarily and improve the efficiency of healthcare information dissemination to promote customer engagement.

This study aims to reveal the mechanism of CEO overconfidence in the digital transformation of specialized, refined, distinctive and innovative (SRDI) enterprises, thereby enriching research related to upper echelons theory and corporate digital transformation.

This study uses listed SRDI companies in China from 2017 to 2022 as a sample and adopts a fixed-effects regression model to analyze the direct, mediating, and moderating effects of CEO overconfidence on corporate digital transformation.

First, CEO overconfidence significantly promotes SRDI enterprises' digital transformation. Second, according to the “cognition-behavior-outcome” model, we found that entrepreneurial orientation plays a mediating role. Third, based on the principle of procedural rationality and the interaction perspective between the CEO and the executive team, we introduce the heterogeneity of the executive team as a moderating variable. Our findings indicate that age heterogeneity within the executive team has a negative moderating effect, whereas educational and occupational heterogeneities have positive moderating effects.

This study expands on earlier research that focuses primarily on CEO demographic characteristics. It enriches the analytical perspective of upper echelons theory on corporate digital transformation by analyzing the psychological characteristics of CEOs, that is, overconfidence and its mediating pathways. Moreover, this study goes beyond the previous literature that does not differentiate between CEOs and executive teams by introducing the concept of CEOs' interactions with the executive team and including the heterogeneity of the executive team as a moderating variable in the literature. Thus, continuing to deepen the application of upper echelons theory to corporate digital transformation. Additionally, this study contributes to the literature on the positive consequences of overconfidence.

The purpose of this study is to solve the problem that existing researches ignore the long-term and staged nature of digital transformation, failing to conduct specific discussions for different stages. It responded the call by constructing a three-stage evolutionary model to analyze the impact of digital transformation at different stages on the sustainable performance of manufacturing enterprises. The moderating effect of core technology capabilities is also explored, guided by the theory of assimilation innovation.

Based on the panel data of Chinese listed manufacturing companies from 2012 to 2020, this study empirically investigate the impact of digital transformation (digital process, digital operation and digital ecology) on sustainability performance (economic performance and environmental performance).

The findings indicate that digital operations and digital ecology significantly improve economic performance and environmental performance. Furthermore, the core technological capacity of the enterprise serves to modify the positive correlation between digital transformation at each stage and sustainable performance to some extent. In other words, when an enterprise is equipped with the requisite technological capacity, the digital transformation at each stage accelerates both economic performance and environmental performance, which in turn is conducive to an improvement in the enterprise’s sustainable development performance.

The findings contribute to the theoretical framework of digital transformation and sustainable development in all stages of enterprises. Furthermore, they provide guidance for achieving sustainable development through the implementation of digital transformation and the enhancement of core technological capacity.

This study aims to identify the attitudes of Chinese residents towards tourists and tourism development. Based on periods of observation, temporary residency and several visits for more than a decade, and supplemented by data collected from 478 residents, the study examines to what extent the rural villagers identify the tourism induced changes as being an outcome of official Chinese policies. The villages, Xidi, Hongcun and Nanping, are three heritage villages in Anhui Province and represent appropriate case studies for such an examination due to their differing histories of tourism administrative procedures. Findings contribute to scholarly knowledge by putting pro-poor tourism and community participation under scrutiny in Chinese context. A change of residents’ perceptions towards tourism could potentially be consequential for tourists’ experience and the sustainability of tourism development, particularly in emerging rural destinations.