There was a sudden shift in the way people work during the COVID-19 pandemic. To keep business continuity, many organizations have implemented a remote working policy for employees to work from home. Strategic facility management (FM) acted to support remote working policies by developing organizational norms in an organization. Meanwhile, the human resource (HR) department chose to achieve business performance while remote working by gaining job motivation among employees. However, there is limited understanding of how well organizations adapted to the remote working policy, and what are the critical factors affecting their remote work performance. The present study aimed to explore the effect of organizational norms on remote working, on remote work productivity, and organizational commitment among Thai employees. The study conducted an online questionnaire survey to a total of 414 Thai employees from various corporate offices. Hierarchical component modeling was applied and achieved a good model fit on the measurement and structural models. Results indicated that organizational norm has a significant effect on perceived productivity and organizational commitment, while sustaining work demand. Moreover, employees’ job motivation can sustain employees’ commitment to the organization in a remote working context. These findings proposed the strategic FM guide, through which a remote working policy can further enhance FM practice.

The regional level is believed to be an important platform to carry out sustainable development (SD) strategies. In China, the rapid urbanization process causes city expansions. To protect environmentally sensitive areas between cities, some protected areas (PAs) have been established. This paper proposes a framework of translating general SD principles into specific practices at the regional level, particularly for the PAs. The framework is based on and illustrated by a detailed case study of the comprehensive SD planning of an environmentally sensitive area in China. A multicriteria decision-making (MCDM) technique, the analytic network process (ANP), was used to weigh the evaluation criteria and rank the proposed capital and social development projects. It was found that the framework was helpful in guiding the SD planning process and the ANP method provided insights on the interaction of various aspects of sustainability.

This article proposes a hybrid model by combining zero-price probability model with long short-term memory (ZPP-LSTM) to estimate corporate default probabilities. The ZPP-LSTM model enhances the time-series data forecast by introducing LSTM in ZPP model, which can better estimate the corporate default probabilities in the industry sensitive to an uncertain environment. The full samples of Chinese listed companies in construction and real estate industries are selected to evaluate the performance of ZPP-LSTM model. The results show that our proposed model outperforms other benchmark models in terms of the default probability estimation.

The rise of blockchain has led to discussions on new governance models and the cooperation of multiple participants. Due to the cognitive defects of the blockchain protocol in terms of intelligent contracts and decentralized autonomous organizations (DAOs), it is often unclear as to how to make decisions about the evolution of blockchain applications. Many autonomous organizations, with the support of network technologies such as blockchain, blindly absorb members and expand the scale of the capital pool, while ignoring the cost advantage of traditional autonomous organizations based on social relations and mutual supervision to fight information asymmetry. In this context, this study analyzes the evolutionary trend of autonomous organizations and their members’ strategies under different policy environments. To this end, under the digital economy background, based on game theory, the evolutionary dynamics method, and the form of the mutual insurance organization, this study constructs an evolutionary dynamics model of distributed autonomous organizations. The results show that blind expansion without review aggravates the overall risk pool’s moral hazard, in the context of mutual insurance. Organizational strategies, such as risk pool splits, can effectively improve the risk pool’s operating performance and establish a benign competition elimination mechanism. Driven by cooperation efficiency and split supervision based on homogeneous clustering, the comprehensive application of the market elimination mechanism can effectively combat moral hazards, restrain the adverse effects of member flow, expand the living space of small‐ and medium‐sized insurance organizations, curb the emergence of a large‐scale monopoly risk pool, and improve market vitality. These conclusions and suggestions also apply to autonomous organizations based on social relations and mutual supervision. The results offer specific decision‐making guidance and suggestions for the government, insurance companies, and risk management.