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The purpose of this paper is to examine the effects of message source and types of corporate social responsibility (CSR) message on stakeholder’s perception toward CSR and behavioral intention toward the company.

A 2 (message source: CEO’s Facebook account vs organization’s Facebook account) × 3 (types of CSR messages: internal CSR vs external CSR vs control) between-subjects online experiment (n=242) was conducted online.

Internal CSR message elicited greater perceptions of trust, satisfaction, control mutuality, and commitment toward the organization among the stakeholders than the external CSR message and the CEO’s personal life message. A significant two-way interaction between the message source and the type of CSR message on behavior intention toward the organization was obtained.

Internal CSR message does matter when it comes to social media posting. The general public do pay attention to what the CEO and the organizations are posting on their social media accounts. Message source does not matter when it comes to social media message posting. However, organizations and CEOs should try to stay consistent when it comes to creating a public CSR message.

Native advertising on social media continues to be a popular ad placement for marketers. With native ad-content relevance in need of further exploration regarding individual differences and social media public sentiment waning, this study set out to test the effects of ad-content relevance of native ads varying by users' pre-existing social networking site (SNS) attitude.

Two experiments were conducted with native ads relevant and irrelevant to the surrounding media content with SNS attitude as a measured moderator and perceived ad importance as the mediator.

Across Instagram and Twitter, SNS attitude moderated the effect of ad relevance on ad responses. Users that had lower SNS attitudes had significantly higher ad ratings that were relevant (vs. irrelevant) to the media content, while those that had higher SNS attitudes did not show differences. The lower SNS attitude individuals showed a greater appreciation for the relevant ads through the mediating effect of perceived importance.

Marketers need to look beyond traditional ad attitude models and craft ad content strategies that consider target audiences' SNS preferences. Layering targeting tactics on Instagram and Twitter such as “interests” and “life events” with demographic targeting could help increase the chances of ad-content relevance. SNSs should advance their ad placement tools and utilize image, speech, and text recognition algorithms to help achieve ad-content relevance for greater ad effectiveness.

This study adds to the literature by identifying SNS attitude as a qualifier of ad-content relevance effect for SNS native ads and uncovering perceived ad importance as the underlying psychological mechanism.

Social media have become an increasingly important venue for prosocial campaigns. Competing for the public’s attention in the digital space is an ongoing challenge. This study aims to test the influence of ad-context congruence, ad position and ad type (i.e. public service advertising [PSA] vs cause-related brand [CRB] advertising) on the effectiveness of prosocial native advertising on social media.

Two experiments were conducted on different social media platforms (i.e. Twitter and Instagram) with varied prosocial issues (i.e. healthy eating and environmental sustainability).

Experiment 1 indicated that the congruence between prosocial native ads and social media feeds elicited greater ad involvement and a more favorable ad attitude, regardless of ad position. Experiment 2 revealed that such an impact was contingent on whether the prosocial native ad was a public service ad or a CRB ad. The positive influence of ad-context congruence was pronounced among public service ads but was not observed among CRB ads. Perceived ad involvement mediated the interaction effects between ad-context congruence and ad type on ad attitude and behavioral intention.

The study extends ad-context congruence research to the context of prosocial native advertising on social media. Moreover, it identifies ad type as a boundary condition for the congruence effects and reveals that increased ad involvement is the mechanism underlying the positive effect of congruent PSA.

The purpose of this study is to use the Taguchi Method for parametric design in the early stages of product development. electromagnetic compatibility (EMC) issues can be considered in the early stages of product design to reduce counter-measure components, product cost and labor consumption increases due to a number of design changes in the R&D cycle and to accelerate the R&D process.

The three EMC characteristics, including radiated emission, conducted emission and fast transient impulse immunity of power, are considered response values; control factors are determined with respect to the relevant parameters for printed circuit board and mechanical design of the product and peripheral devices used in conjunction with the product are considered as noise factors. The optimal parameter set is determined by using the principal component gray relational analysis in conjunction with both response surface methodology and artificial neural network.

Market specifications and cost of components are considered to propose an optimal parameter design set with the number of grounded screw holes being 14, the size of the shell heat dissipation holes being 3 mm and the arrangement angle of shell heat dissipation holes being 45 degrees, to dispose of 390 O filters on the noise source.

The optimal parameter set can improve EMC effectively to accommodate the design specifications required by customers and pass test regulations.

This paper aims to examine transferable skills and viable career transition pathways for hospitality and tourism workers. Future career prospects are discussed, along with the importance of reskilling for low-wage hospitality workers.

A network analysis is conducted to model skill relationships between the hospitality industry and other industries such as health-care and information technology. Multiple data are used in the analysis, including data from the US Department of Labor Occupational Information Network (O*NET), wage data from the Bureau of Labor Statistics and job computerization data (Frey and Osborne, 2017).

Although hospitality workers have lower than average skills scores when compared to workers from other career clusters included in the analysis, they possess essential soft skills that are valuable in other industries. Therefore, improving hospitality workers’ existing soft skills may help them enhance their cross-sector mobility, which may allow them to obtain jobs with a lower likelihood of computerization.

The findings shed light on workforce development theories and practice in the hospitality industry by quantitatively analyzing cross-sector skill correlations. Sharpening transferable soft skills will be essential to enhancing hospitality workers’ career development opportunities.

To the best of the authors’ knowledge, this is the first study that specifically examines the skill taxonomy for the hospitality industry and identifies its connection with other in-demand career clusters.

The technical level of aircraft failure analysis plays a special role in ensuring the safety of civil aviation flight. Using appropriate methods for functional failures analysis can provide a reliable reference for aircraft safety. The purpose of this paper is to provide a new and comprehensive measure based on conventional functional hazard analysis (FHA) and grey system theory to analysis and evaluate the class that each failure belongs to.

This paper integrates multiple methods including the FHA, the fixed weight cluster, the Delphi method and the analytic hierarchy process (AHP). To begin with, use FHA method to sort out the corresponding failure states of a certain system from the perspective of function and determine the evaluation index. And then using group decision and AHP, determine the expert weight and index weight in the fixed weight cluster. The fixed weight cluster function is used to determine the grey class to which a certain functional failure belongs in the complex system.

In the past, the risk assessment of aircraft was mostly dominated by the subjective judgment of the experts, but it was not possible to give an objective observation score for each failure state. This paper addresses the problem efficiently as well as the feature of “little data, poor information.” The risk degree of each failure state can ultimately be replaced by a quantitative value.

This paper uses the idea of clustering in grey system theory to evaluate the risk of landing gear system. In the expert evaluation stage, different experts evaluated the impact degree of the aircraft's failure caused by its functions, so the final risk classification is subjective to some extent.

This study analyzed the different conditions of the landing gear, including the front wheel steering, front wheel damping, front wheel steering system, brake system fault information and so on. It can effectively divide the different failure states and their effects, which is helpful to improve the safety of aircraft landing gear system and provide some useful methods and ideas for studying the safety of aircraft systems.

Based on the FHA analysis process and the grey system theory, this paper determines various potential risks and their consequences of various functions according to the hierarchy, so as to carry out further detailed analysis on the risks that may occur under various functional conditions and take certain measures to prevent them. It is helpful to improve the risk management and control ability of aircraft in the actual flight process and to guarantee the safety of people's lives and property.

This paper is a pioneer in integrating the FHA method and the grey system theory, which exactly can be used to address the problem with the character of “little data, poor information.” The model established in this paper for the defects of FHA can effectively improve the accuracy of FHA, which is of great significance for the study of safety. In this paper, a case about landing gear system is given to illustrate the effectiveness of the model.

The classification of aircraft failures has been a significant part of functional hazard analysis (FHA). Aiming at the shortcomings of the traditional FHA method in the evaluation of aircraft risk, the purpose of this paper is to put forward a new approach by combining the gray comprehensive relation calculation method in the gray system theory with the traditional FHA in order to deal with the problem of “little data, poor information.”

This paper combines FHA, 1–9-scale method and gray relation analysis. At first, aircraft failure scenarios are chosen and data from experts are collected; then gray system theory is applied to find the relevance of such scenarios. Finally, the classification according to relevance is determined.

In the past, “little data, poor information” made it difficult for researchers to implement FHA. In this paper, the authors manage to deal with the problem of “poor information” and provide an approach to find the seriousness of aircraft failure.

Due to the use of expert-evaluating methods, the classification of failures is still a little subjective and can be improved in this area. In the future, the method can be improved from the perspective of combining FMEA to analyze more complex indicators or using multisource heterogeneous solutions to solve fuzzy numbers, probabilities, gray numbers and indicators that cannot be assigned.

The paper uses FHA to divide the failure state and establishes a gray evaluation model of the aircraft failure state classification to verify the relevant method. Some aircraft safety design requirements are used to check the safety hazards of the aircraft during the design process, and to provide rational recommendations for the functional design of the aircraft.

Improving the safety of aircraft is undoubtedly of great practical significance and has become a top priority in the development of the civil aviation industry. In this paper, the FHA method and the failure state of the aircraft are studied. The original FHA method is innovated by using the gray system theory applicable to the poor information state. Therefore, to some extent, this study has significance for improving the safety of civil aircraft flight, ensuring people’s travel safety and enhancing the society’s trust in civil aviation.

The main innovation of this paper is integrating the FHA method and the gray system theory. This study calculates the comprehensive relation degree of each failure under different flight stages, and uses FHA to divide the failure state, and finally establishes a gray evaluation model of the aircraft failure state classification to analyze the different conditions of the landing gear brake system, so that it improves the present situation, and the problem with the character of “little data, poor information” can be addressed better.

As the rise in expenditures will be even faster when the baby-boom generation soon reaches healthcare-dependent ages, healthcare providers are facing cost management decision of achieving superior performance. Taiwan provides a unique environment that the dialysis service providers face only one medical buyer. The purpose of this paper is to discuss cost factors of dialysis facilities.

This study provides a comprehensive analysis of factors influencing the dialysis costs using the data collected from a large renal clinic chain at Taiwan. The multiple linear regression analysis is employed to examine the factors influencing dialysis costs. The research sample composed of 1,255 patients is collected from 16 dialysis centers in Taiwan.

The results indicate that the treatment costs of dialysis are influenced by managerial factors including capacity utilization rate (CUR), the percentage of shares held by the owners and the geographical location of clinics (LC). The findings assist renal clinics to identify the parts critical to the cost control. Our results indicate that medical variable costs for performing the dialysis treatments are significantly influenced by such managerial factors as CUR, the percentage of owners’ shares holding and LC.

By identifying a comprehensive set of costs drivers for dialysis services, this study provides useful information for both health providers and policy makers. In specific, the result assists these providers to consider the utilization of better mechanisms/instruments to control costs by increasing the operational efficiency and achieving the economies of scale.

This paper contributes to exploring costs drivers that are generally absent from the extant literature. The result suggests that the regulators should be aware that the dialysis providers may reject costly patients. Hence, to establish the appropriate monitoring mechanisms to prevent such incidence is important. Finally, many other countries in addition to Taiwan also have a similar practice as national health insurances or services (e.g. Medicare in the USA or National Health Service in the UK). Those health systems may all face a similar cost control issues for handling end-stage renal disease patients. The analysis can help health systems worldwide to better design the reimbursement rates to account for the differences existed in dealing with the dialysis treatment costs.

Established in 2010, Mellower Coffee has 40 exquisite chain stores and three branches, namely Mellower Coffee Sales, Mellower Business Management and Shanghai Mellower Roasting Factory. Positioned as a premium coffee brand in China, Mellower Coffee has realized the integrated operation and management of the whole industrial chain from raw coffee trade, roasting factory, coffee retail products, specialty coffee chain, office coffee to coffee academy. It has a vision to attract and cultivate more and more coffee lovers by constant innovation coffee culture promotion.