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The organic food sold in China can bear organic labels from different countries/regions. The purpose of this paper is to assess the trust and preferences of consumers for tomatoes carrying these different labels.

The data came from real choice experiments conducted in Shandong Province, China. A mixed logit model was used to analyze consumer willingness to pay (WTP).

Results indicated that, among the four organic labels considered in this study, the highest WTP was expressed for organic label from the European Union, followed by Hong Kong’s organic label, Japanese organic label and, lastly, by the Chinese mainland organic label. Consumer trust has a positive effect on their WTPs for the four organic labels. Providing consumers with information on organic can significantly lift their WTPs, and reduce the gaps between WTPs for different organic labels.

This research is of academic value and of value to food suppliers. International food marketers are recommended to equip their products with proper organic labels and initiate additional consumer education.

The purpose of this paper was to prepare a ternary hierarchical rough particle to accelerate the anti-corrosive design for coastal concrete infrastructures.

A kind of micro-nano hydrophobic ternary microparticles was fabricated from SiO₂/halloysite nanotubes (HNTs) and recycled concrete powders (RCPs), which was then mixed with sodium silicate and silane to form an inorganic slurry. The slurry was further sprayed on the concrete surface to construct a superhydrophobic coating (SHC). Transmission electron microscopy and energy-dispersive X-ray spectroscopy mappings demonstrate that the nano-sized SiO₂ has been grafted on the sub-micron HNTs and then further adhered to the surface of micro-sized RCP, forming a kind of superhydrophobic particles (SiO₂/HNTs@RCP) featured of abundant micro-nano hierarchical structures.

The SHC surface presents excellent superhydrophobicity with the water contact angle >156°. Electrochemical tests indicate that the corrosion rate of mild steel rebar in coated concrete reduces three-order magnitudes relative to the uncoated one in 3.5% NaCl solution. Water uptake and chloride ion (Cl^-) diffusion tests show that the SHC exhibits high H₂O and Cl^- ions barrier properties thanks to the pore-sealing and water-repellence properties of SiO₂/HNTs@RCP particles. Furthermore, the SHC possesses considerable mechanical durability and outstanding self-cleaning ability.

SHC inhibits water uptake, Cl^- diffusion and rebar corrosion of concrete, which will promote the sustainable application of concrete waste in anti-corrosive concrete projects.

Tourism development can reduce the economic disadvantages of indigenous tribes; however, it is also reproached for the destruction of local culture. The challenge for tourism and culture is to reach those diverse audiences through a multicultural marketing perspective for managers to make decisions. Therefore, learning the activity preferences of tourism experiences and creating the value of indigenous tourism by strategies are essential indicators of this research.

The knowledge lacks cultural understanding and the acceptance of prices concerned with indigenous tourism. This research introduces the value of cultural experience into indigenous tourism experiences and establishes a link between the attributes of tourists' preferences and tourism. The data mining methods are used to analyze relevant indigenous tribal data on the cultural experience.

By providing a different quality of service for various tourists, it is expected to improve the sustainable tourism of the tribe through the experiential value of different attributes and strategies of push–pull factors.

The experiential activities are based on second-hand data collected from Taitung's indigenous tourism activities, and sample data are the domestic tourism experiences of tourists over the past year. Through empirical analyses, the attributes of tourists' preferences can create the value of the cultural experience for indigenous tourism.

This research explores how indigenous cultural experience can be communicated via learning the value of cultural experience to formulate effective strategies.

Decision-making is always an issue that managers have to deal with. Keenly observing to different preferences of the targets provides useful information for decision-makers who do not require too much information to make decisions. The main purpose is to avoid decision-makers in a dilemma because of too much or opaque information. Based on problem-oriented, this research aims to help decision-makers to develop a macro-vision strategy that fits the needs of different clusters of customers in terms of their favorite restaurants. This research also focuses on providing the rules to rank data sets for decision-makers to make choices for their favorite restaurant.

When the decision-makers need to rethink a new strategic planning, they have to think about whether they want to retain or rebuild their relationship with the old consumers or continue to care for new customers. Furthermore, many of the lecturers show that the relative concept will be more effective than the absolute one. Therefore, based on rough set theory, this research proposes an algorithm of related concepts and sends questionnaires to verify the efficiency of the algorithm.

By feeding the relative order of calculating the ranking rules, we find that it will be more efficient to deal with the faced problems.

The algorithm proposed in this research is applied to the ranking data of food. This research proves that the algorithm is practical and has the potential to reveal important patterns in the data set.

This study aims to investigate the association between executives with foreign backgrounds and the audit fees paid by the Chinese-listed firms over the period from 2010 to 2020.

To examine the association between executives’ foreign experience and audit fees, this study constructs the following empirical model: Lnfee_i,t = β₀ + β₁Foreign background_i,t + ∑β_j Control_i,t + YearFE + IndFE + ε_i,t (1).

This study finds that auditors charge higher fees for firms hiring more executives with foreign backgrounds. The results are robust to a battery of robustness checks, including fixed effects, alternative measures of independent variable, controlling for other characteristics of executives and auditors and entropy balancing method.

This study sheds light on how executives’ foreign backgrounds affect audit fees, enriching the literature on executive heterogeneity and audit fees and providing important implications for audit practitioners.

The purpose of this paper is to assess the relationship between trust factors and buying behavior among consumers in the organic food market in Taiwan.

The researchers developed a questionnaire using latent variables including the trust factors, utilitarian attitudes, hedonic attitudes, buying behavior and demographic information of consumers of organic foods. Confirmatory factor analysis and the structural equation modeling were conducted using LISREL 8.80 for Windows.

The empirical results indicated that health content, locally produced products, organic food labels and price premiums positively and significantly affected utilitarian and hedonic attitudes. Both utilitarian attitudes and hedonic attitudes positively and significantly affected respondents’ buying behavior. A series of theoretical implications were identified.

The researchers concluded that providing consumers with practical information related to organic food, establishing local production facilities, developing content, standardizing labeling procedures and promoting a new organic certification system for small-scale producers will encourage more consumers to purchase organic food.

This study first examines the food trust buying behavior of organic foods and related consumption behavior theory questions. It mainly takes the stimulus–organism–response model as the foundation of its approach. Simultaneously, it also conforms to utilitarian behavior theory, and the process by which consumers become better aware of organic foods’ quality.

High temperature gradient induces high residual stress, producing an important effect on the part manufacturing during laser powder bed fusion (LPBF). The purpose of this study is to investigate the effect of the molten pool mode on the thermal stress of Ti-6Al-4V alloy during different deposition processes.

A coupled thermal-mechanical finite element model was built. The developed model was validated by comparing the numerical results with the experimental data in the maximum molten pool temperature, the molten pool dimension and the residual stress described in the previous work.

For the single-track process, the keyhole mode caused an increase in both the maximum stress and the high-stress area compared with the conduction mode. For the multitrack process, a lower tensile stress around the scanning track and a higher compressive stress below the scanning track were found in the keyhole mode. For the multilayer process, the stress along the scanning direction at the middle of the part changed from tensile stress to compressive stress with the increase in the deposition layer number. As the powder layer number increased, the stress along the scanning direction near the top surface of the part decreased while the stress along the deposition direction obviously increased, indicating that the stress along the deposition direction became the dominant stress. The keyhole mode can reduce the residual stress near the top of the part, and the conduction mode was more likely to produce a low residual stress near the bottom of the part.

The results provide a systematic understanding of thermal stress during the LPBF process.

The purpose of this paper is to outline some key aspects such as material systems used, phenomenological and statistical process modeling, techniques applied to monitor the process and optimization approaches reported. All these need to be taken into account for the ongoing development of the SLM technique, particularly in health care applications. The outcomes from this review allow not only to summarize the main features of the process but also to collect a considerable amount of investigation effort so far achieved by the researcher community.

This paper reviews four significant areas of the selective laser melting (SLM) process of metallic systems within the scope of medical devices as follows: established and novel materials used, process modeling, process tracking and quality evaluation, and finally, the attempts for optimizing some process features such as surface roughness, porosity and mechanical properties. All the consulted literature has been highly detailed and discussed to understand the current and existing research gaps.

With this review, there is a prevailing need for further investigation on copper alloys, particularly when conformal cooling, antibacterial and antiviral properties are sought after. Moreover, artificial intelligence techniques for modeling and optimizing the SLM process parameters are still at a poor application level in this field. Furthermore, plenty of research work needs to be done to improve the existent online monitoring techniques.

This review is limited only to the materials, models, monitoring methods, and optimization approaches reported on the SLM process for metallic systems, particularly those found in the health care arena.

SLM is a widely used metal additive manufacturing process due to the possibility of elaborating complex and customized tridimensional parts or components. It is corroborated that SLM produces minimal amounts of waste and enables optimal designs that allow considerable environmental advantages and promotes sustainability.

The key perspectives about the applications of novel materials in the field of medicine are proposed.

The investigations about SLM contain an increasing amount of knowledge, motivated by the growing interest of the scientific community in this relatively young manufacturing process. This study can be seen as a compilation of relevant researches and findings in the field of the metal printing process.

Social enterprises are increasingly recognized as a new form of organization (combining social and business goals) providing innovative and scalable solutions to widespread and complex socioenvironmental problems. Yet, they often struggle to keep themselves afloat due to the difficulty in accessing required resources. Networking approaches provide social enterprises with cost-effective ways to fulfill these resource requirements. Such approaches, although useful, give rise to dilemmas while building ties with both financial and non-financial actors. Although much research has been conducted on social enterprise networking or partnerships, little is known about how social enterprises address such dilemmas. This chapter explores how do social entrepreneurs address moral dilemmas while networking with key stakeholders? To answer this question, we analyze the existing literature to understand the networking strategies adopted and the moral dilemmas experienced by the social entrepreneurs. Based on our review of literature, we present four kinds of social enterprises in terms of their networking situations and choices: (1) secluded saints (less known and less connected; high on moral values); (2) secluded devils (less known and less connected; low on moral values); (3) saints waving at the devils (well known and well connected; low on moral values); (4) saints in the pack of devils (well known and well connected; high on moral values). These categories are used to explain how social enterprises with different values, interact with and use their networks for different purposes. We discuss the possible consequences of each strategy and keep the question, how to reach the state of “successful saints,” open for future research. By presenting these different networking situations, our matrix sheds new lights on different social entrepreneurial networking options and their possible outcomes. This can act as a guide and a cautionary note, not only for the social enterprises but also for any hybrid organizations dealing with conflicting networking choices.