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This study adopted the functional, expressive and aesthetic (FEA) consumer needs model, aimed to examine the influence of consumers' FEA perceptions of three-dimensional printing (3DP) integrated apparel products on their product satisfaction and purchase intention.

An online survey was employed with a sample of 332 participants (165 female and 167 male) aged 19 to 76, mean age of 35 years. A gender-neutral, 3DP integrated hooded sweatshirt was developed for this study featuring flexible, white 3D printed insets fabricated with an FDM 3D printer and white TPU filament sewn with traditional gray knit fleece.

The findings of this study suggest that the FEA model is appropriate in predicting consumers' satisfaction with 3DP integrated apparel products. Specifically, aesthetic (perceived beauty) and expressive (perceived coolness) dimensions are more influential than functional factors, except for the positive influence of perceived fit, in predicting consumers' satisfaction and purchase intentions for 3DP integrated apparel products.

Future studies could consider data collection from participants' physical fit testing or try on evaluation to determine the importance of the functional dimension in consumer response to 3DP integrated apparel product. Future studies could also examine full 3D printed apparel, or other 3DP integrated wearable products to expand the understanding of consumer perception of the application of 3DP technology.

Despite the increasing exploration of 3DP integrated apparel products and industry attempts to make this innovation in apparel more mainstream, research on how mainstream consumers perceive such 3DP integrated apparel products is limited. This study addresses this gap, providing critical implications for future research and design.

With the increasing abundance of network resources and big data, multi-modal information search (MMIS) has been paid more and more attention, but the research results of MMIS are relatively few. This paper attempts to put forward constructive suggestions for the design of multi-modal information system, so that the system can have a better user experience, help users improve the efficiency of obtaining information and optimize the information service mode.

A research model of influencing factors is established by using the TAM (technology acceptance model) theory. The influencing factors of users' multi-modal information search behavior (MMISB) are analyzed by using questionnaire, experiment and the structural equation model. On the basis of this, some suggestions are put forward to build the multi-modal search (MMS) system and improve the efficiency of MMIS.

The research shows that users' MMISB is directly related to their search intention, and the search intention can influence users' cognition of the usefulness and ease of MMIS through their own information search ability and system characteristics. The user's MMIS ability is affected by the demand expression ability and retrieval ability cognition; the user's cognition of system characteristics is affected by the system function and information quality. This shows that the user's MMISB is closely related to the user's cognitive situation, but due to the author's limited time and research ability, only the questionnaire survey method cannot be used to in-depth research and explore the influencing factors of MMIS. Therefore, in the future research, we should combine the interview method to further track the user's emotional factors and scene factors.

For the first time, TAM theory is combined with cross-modal retrieval behavior and the paper explores the influencing factors and evaluation indexes of users' MMISB. The second, the questionnaire was compiled to investigate the influencing factors of the MMISB of the university group, and the reliability analysis, validity analysis, correlation analysis and structural equation model analysis of the survey data are carried out . The survey data and analysis results are original, which can provide a theoretical basis for improving the service level of MMIS.

After the occurrence of a disaster, emergency supplies should arrive at disaster area in the shortest possible time. Therefore, it is of pivotal importance to speed up the preparation and scheduling process. In other words, only when the preparation process and scheduling process coordinate well, could the emergency supplies arrive at disaster area in time. Consequently, the purpose of this paper is to explore a method that can strengthen the coordination in various kinds of situations.

The paper first elaborates the preparation and scheduling process of emergency supplies in disasters. Then, it establishes a workflow simulation system of the emergency supplies preparation and scheduling based on Petri Net. Afterward, the paper proposes a simplified simulation system of emergency supplies preparation and scheduling which can be employed in actual emergency response. Finally, the paper takes China Lushan Earthquake for a case study.

By employing the simulation system proposed by this paper, decision makers can simulate the whole emergency supplies preparation and scheduling process, which can help them find a method that can optimize the current process. Specifically, by analyzing the simulation results, the government can obtain conclusions as follows. First, whether the preparation and scheduling process of emergency supplies can speed up or not. Second, which part of the process should be improved to realize the acceleration. Third, the workload of the staffs and experts. Fourth, whether it is necessary to add staffs or experts to work in parallel.

This paper proposes a system that can coordinate the preparation process and scheduling process of emergency supplies in disaster. Then, it employs the Petri Net based workflow model to do simulation. The simulation results show that the system designed is reasonable and can be used in practical decision making on the preparation and scheduling of emergency supplies.

Rivers flowing through the land are a source of life. They have different importance and functions such as for drinking, sailing, irrigating crops, generating electricity, sightseeing, fishing, and so on. In addition, animals like amphibians, birds, and mammals also live and propagate near the river environment. Therefore, rivers are ecosystems for some animals and plants that are special, rare, or on the brink of extinction (Water Resources Agency, Ministry of Economic Affairs, 2006).

The purpose of this paper is to propose a new casualty scheduling optimisation problem and to effectively treat casualties in the early stage of post-earthquake relief.

Different from previous studies, some new characteristics of this stage are considered, such as the grey uncertainty information of casualty numbers, the injury deterioration and the facility disruption scenarios. Considering these new characteristics, we propose a novel casualty scheduling optimisation model based on grey chance-constrained programming (GCCP). The model is formulated as a 0–1 mixed-integer nonlinear programming (MINP) model. An improved particle swarm optimisation (PSO) algorithm embedded in a grey simulation technique is proposed to solve the model.

A case study of the Lushan earthquake in China is given to verify the effectiveness of the model and algorithm. The results show that (1) considering the facility disruption in advance can improve the system reliability, (2) the grey simulation technology is more suitable for dealing with the grey uncertain information with a wider fluctuation than the equal-weight whitening method and (3) the authors' proposed PSO is superior to the genetic algorithm and immune algorithm.

The casualty scheduling problem in the emergency recovery stage of post-earthquake relief could be integrated with our study to further enhance the research value of this paper.

Considering the facility disruption in advance is beneficial to treat more patients. Considering the facility disruption in the design stage of the emergency logistics network can improve the reliability of the system.

(1) The authors propose a new casualty scheduling optimisation problem based on GCCP in the early stage of post-earthquake relief. The proposed problem considers many new characteristics in this stage. To the best of the authors' knowledge, the authors are the first to use the GCCP to study the casualty scheduling problem under the grey information. (2) A MINP model is established to formulate the proposed problem. (3) An improved integer-encoded particle swarm optimisation (PSO) algorithm embedded grey simulation technique is designed in this paper.

This study aims to investigate how a firm’s sustainable competitive advantage is influenced by the combination of entrepreneurial ecological orientation, digital transformation and dynamic capabilities.

Based on the qualitative comparative analysis method, this study systematically explores the significant key conditions and configuration effects that affect the growth of sustainable competitive advantage. This study uncovers the causal relationship and complex mechanisms underlying the sustainable and unsustainable competitive advantages for new ventures, by examining the grouping effects of the above three factors – entrepreneurial ecological orientation, digital transformation and dynamic capabilities on those advantages.

A single factor fails to constitute a necessary condition for sustainable competitive advantage. Three types of configurations are beneficial to sustainable competitive advantage, namely, flexible and responsive type, dynamically adjusted type and type of opportunity resource integration, whereas four types of configurations lead to the unsustainable competitive advantage of new ventures, namely, type of organizational rigidity, informal entrepreneurial type, information-blocking type and technology-deficient type.

According to this study, adopting an entrepreneurial ecological orientation is a novel strategic move. This study offers an extensive review of three aspects of entrepreneurial ecological orientation, dynamic capacities and digital transformation and their mutually synergistic cascading effects on the sustainable competitive advantage of new ventures. This study investigates how three dimensions interact to achieve sustainable competitive advantage for firms, ultimately contributing to the study of sustainable competitive advantage strategies from an entrepreneurial ecosystem perspective.

The politically laden nature of postdisaster recovery calls for more research on its governance, especially at the micro-scale. Apart from engineering-oriented frameworks, researchers need new theoretical underpinnings. This paper aims to review the development of the evolutionary resilience theory and use it as an analytical framework to evaluate the governance of post-earthquake reconstruction planning in China.

This paper examines how reconstruction planning is governed in the epicenter town of the 2008 Great Sichuan Earthquake, highlighting three key qualities of evolutionary resilience. The authors draw on site investigations, semistructured interviews and analysis of official and unpublished documents from various sources.

This paper finds that despite the absence of specific resilience statements in reconstruction plans of the time, qualities of evolutionary resilience, including social connectedness, flexibility and innovation, were evident in a hybrid and contradictory reconstruction planning system. In this respect, resilience thinking appears in Chinese planning earlier than generally assumed. This paper suggests that this manifestation of resilience was the result of an instrumental utility in addressing socioeconomic uncertainties in the postdisaster environment and, thus, may not be systematic.

This work enriches the understanding of recovery governance from an evolutionary resilience perspective where existing research is insufficient. It also offers ample practical guidance for similar cases in China and elsewhere.

With the popularity of high-rise buildings, wall inspection and cleaning are becoming more difficult and associated with danger. The best solution is to replace manual work with wall-climbing robots. Therefore, this paper proposes a design method for a rolling-adsorption wall-climbing robot (RWCR) based on vacuum negative pressure adsorption of the crawler. It can improve the operation efficiency while solving the safety problems.

The pulleys and tracks are used to form a dynamic sealing chamber to improve the dynamic adsorption effect and motion flexibility of the RWCR. The mapping relationship between the critical minimum adsorption force required for RWCR downward slip, longitudinal tipping and lateral overturning conditions for tipping and the wall inclination angle is calculated using the ultimate force method. The pressure and gas flow rate distribution of the negative pressure chamber under different slit heights of the negative pressure mechanism is analysed by the fluid dynamics software to derive the minimum negative pressure value that the fan needs to provide.

Simulation and test results show that the load capacity of the RWCR can reach up to 6.2 kg on the smooth glass wall, and the maximum load in the case of lateral movement is 4.2 kg, which verifies the rationality and effectiveness of the design.

This paper presents a new design method of a RWCR for different rough wall surfaces and analyses the ultimate force state and hydrodynamic characteristics.

The purpose of this paper is to establish a more reasonable evaluation system and model for the development level of rural tourism, and provides a method for quantifying the development level of regional rural tourism.

This paper provides a method for evaluating the development level of rural tourism, constructs an evaluation index system according to the connotation of rural tourism, then calculates the index weight by entropy method, and makes a comprehensive evaluation by grey relational analysis. Taking the development of rural tourism in 11 cities in Jiangxi Province as the research object, the ranking results of 11 cities were obtained by using grey relational analysis.

The overall development level of rural tourism in Jiangxi Province is positive, but the spatial distribution is uneven, showing the characteristics of “low-level aggregation and high-level dispersion”. The barrier model diagnoses that the degree of financial input is the biggest constraint to the development level of rural tourism in Jiangxi Province.

This study puts forward an evaluation model based on entropy weight and grey relational analysis, which is an important supplement to the grey relational analysis method system and has a positive role in promoting the quantitative evaluation of regional rural tourism level.