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The purpose of this study was to develop a measurement scale to assess work motives for hospitality employees utilizing McClelland’s theory of needs as the theoretical underpinning.

Both qualitative and quantitative methods were applied to achieve the study purpose. First, individual interviews were conducted to explore employee work motives and develop work motive scale items. Second, data from a self-administered paper questionnaire, completed by 388 respondents, were used to validate the developed scale.

Four themes were identified which reflect employees’ perspectives of hospitality jobs and culture: the job itself, need for affiliation, need for achievement and need for power. The developed scale, consisting of 22 items, was found to be reliable and valid in assessing work motives.

The majority of participants were entry-level employees; therefore, the developed scale may not be useful when assessing work motives of individuals not in front-line positions. Future research could extend the measurement model to investigate work motives of individuals in managerial positions. In addition, future research could assess work motives as antecedents of employee organizational behaviors and attitudes.

The developed scale could be used as a selection tool to assess applicants’ work motives, thereby assisting employers in making effective hiring decisions.

This study contributes a new reliable and valid measurement scale developed specifically to address the unique work motives desirable for individuals seeking employment in the hospitality industry.

Discusses the concept of networking structure for the co‐ordination in the corporate decision‐making process in Japan. Looks at networking at a micro level based on empirical and anecdotal evidence.

Providing online news recommendations to users has become an important trend for online media platforms, enabling them to attract more users. The purpose of this paper is to propose an online news recommendation system for recommending news articles to users when browsing news on online media platforms.

A Collaborative Semantic Topic Modeling (CSTM) method and an ensemble model (EM) are proposed to predict user preferences based on the combination of matrix factorization with articles’ semantic latent topics derived from word embedding and latent topic modeling. The proposed EM further integrates an online interest adjustment (OIA) mechanism to adjust users’ online recommendation lists based on their current news browsing.

This study evaluated the proposed approach using offline experiments, as well as an online evaluation on an existing online media platform. The evaluation shows that the proposed method can improve the recommendation quality and achieve better performance than other recommendation methods can. The online evaluation also shows that integrating the proposed method with OIA can improve the click-through rate for online news recommendation.

The novel CSTM and EM combined with OIA are proposed for news recommendation. The proposed novel recommendation system can improve the click-through rate of online news recommendations, thus increasing online media platforms’ commercial value.

Online advertisement brings huge revenue to many websites. There are many types of online advertisement; this paper aims to focus on the online banner ads which are usually placed in a particular news website. The investigated news website adopts a pay-per-ad payment model, where the advertisers are charged when they rent a banner from the website during a particular period. In this payment model, the website needs to ensure that the ad pushed frequency of each ad on the banner is similar. Under such advertisement push rules, an ad-recommendation mechanism considering ad push fairness is required.

The authors proposed a novel ad recommendation method that considers both ad-push fairness and personal interests. The authors take every ad’s exposure time into consideration and investigate users’ three different usage experiences in the website to identify the main factors affecting the interests of users. Online ad recommendation is conducted on the investigated news website.

The results of the experiments show that the proposed approach performs better than the traditional approach. This method can not only enhance the average click rate of all ads in the website but also ensure reasonable fairness of exposure frequency of each ad. The online experiment results demonstrate the effectiveness of this approach.

Existing researches had not considered both the advertisement recommendation and ad-push fairness together. With the proposed novel ad recommendation model, the authors can improve the ad click-through rate of ads with reasonable push fairness. The website provider can thereby increase the commercial value of advertising and user satisfaction.

The purpose of this paper is to examine whether firms use different earnings management approaches when facing financial difficulties and the effects of industry-specialist auditors in constraining those choices. The empirical results suggest that (1) firms with lower risk of business failure but with stronger incentives to adjust earnings upward tend to use real earnings management (REM) income-increasing approaches while (2) at the same time, using discretionary accruals for income-decreasing earnings management, due to constraints imposed by specialist auditors on the use of accrual-based earnings management (AEM). This is consistent with the findings of Chi et al., and the authors do not find similar evidence for the firms with higher risk of failure. Also, (3) regardless of the level of failure risk, firms turn to REM while interestingly, such REM behavior is effectively curbed by industry-leading specialist auditors (specialist auditors with the highest client market share) on financially distressed firms. These results extend the findings of Chi et al. (2011), suggesting that industry-specialist auditors have different tolerance levels for earnings management approaches by firms with different levels of business failure risk. That is, when auditing clients with higher risk of failure, specialist auditors are more likely to maintain higher audit quality through more stringent audit testing and use of more audit staff time to prevent an occurrence of audit failure.

The authors examine earnings management behavior across firms in Taiwan with different levels of business failure risk and the effects of audit partner industry specialization in constraining that behavior. Chi et al. (2011) studied low-risk firms with incentives to adjust earnings upward and found firms use REM when the auditors constrain AEM. The authors extend the work of Chi et al. and observe firms with different levels of failure risk.

The authors find (1) lower risk firms may use discretionary accruals to adjust earnings downward while the authors find no similar evidence for financially distressed firms, (2) lower risk firms may use REM when their industry-specialist auditors curb AEM and (3) the industry leaders among specialist auditors do the same for the financially distressed firms. The results demonstrate the extent to which industry-specialist auditors apply different tolerance levels for earnings management behaviors across firms with different levels of failure risk.

The study contributes to the literature in the following three ways: first, the authors fill a gap in the existing literature by comparing firms with higher risk of business failure to firms with lower risk of business failure to explore the possible difference in the two different kinds of earnings management behavior; second, the authors extend the findings of Chi et al. (2011) and examine whether specialist auditors, when auditing firms with higher risk of business failure, will input more audit effort to constrain their clients' use of REM and third, since business failures have a significant impact on the capital markets and any associated audit failures can have an even greater negative impact on investor confidence, the study provides information useful to auditors and regulators in the formation of salient policy regarding the use of REM by firms experiencing high risk of business failure.

The purpose of this paper is to investigate how and when used by employees influences witnessing customers’ willingness to spread positive word of mouth (WOM).

This research used a qualitative method to develop a typology of necessary evil using two pilot studies and an experimental study to test the theoretical model.

The results show that the necessary evil used by employees to manage dysfunctional customers positively influences witnessing customers’ perceptions of distributive, procedural and interactional justice and their subsequent deontic justice perceptions, resulting in their willingness to spread positive WOM. Moreover, the positive influence of necessary evil on witnessing customers’ responses is strengthened when dysfunctional customer behavior (DCB) targets another customer as opposed to an employee.

This research offers service providers a better understanding of how to manage DCBs.

This paper contributes to the existing literature by introducing necessary evil to the service literature, proposing a new typology of employee response strategies to DCB based on necessary evil and examining how necessary evil drives positive customer responses. Additionally, it is among the first to examine the relationship between deontic justice and traditional justice mechanisms.

The purpose of this paper is to examine how personal engagement (PE) may be related with work-family conflict (WFC) and innovative behavior (IB) at the same time.

This study tested the proposed model using a longitudinal data with 1,501 employees from R&D departments in information technology industry of Greater China at multiple points (Time 1 to Time 3) in time over a ten-month period.

This study exhibits how charismatic leadership style, colleague support (CS), and self-esteem (SE) are capable of predicting the PE, which, in turn, positively related to the IB and the WFC.

The present study proposed a model of the PE, but there are other variables that might also be important for the PE.

These finding suggests that managers not only must inspire and enable employees to apply their full energy to their work (e.g. PE), but must also alleviate the WFC.

The study drawn from Kahn’s (1990) engagement theory and conservation of resources view to explain how the leadership style, CS, and SE can increase PE, which, in turn, increase positive organization behavior (IB) and negative organization behavior (WFC) at the same time.

This chapter compares the current biodiversity practices of higher education institutions (HEIs) and their learning effects of the Global North and South. It particularly explores the HEIs’ strategies targeting biodiversity and ecosystem services preservation. In order to answer the research question, a qualitative content analysis of published sustainability reports of the systematically selected HEIs was performed. The Times Higher Education (THE) was used to select HEIs. The results show that biodiversity reporting and management is still in its early stages in HEIs from both the Global North and South and could benefit from further research and suggestions for improvement. One implication for the HEIs is that they could increase public awareness and knowledge of biodiversity through the integration of this topic into their curricula, more research projects on biodiversity, and operations on and off campus.

Education for sustainable development (ESD) is a developing educational concept that aims to achieve economic, social and environmental sustainability through education. Cultural sustainability education aims to cultivate awareness and protection of cultural assets, promote sustainable development and foster environmental responsibility. This study establishes a cyber-physical metaverse of cultural sustainability learning to cultivate students' motivation, multicultural identity, critical thinking and sustainability thinking.

In this study, virtual reality (VR) and 3D printing technologies were utilized to create a cyber-physical metaverse learning environment. This learning environment is designed to allow elementary school children to learn about indigenous cultures and the architecture of slate houses, as well as socio-architectural issues. Learners will be able to experience first-hand the plight of the indigenous tribal areas and the exploration of related cultural knowledge.

The study collected pre- and post-test data through questionnaires, using covariates to analyze learners' perceptions of learning. The results of this study showed that cyber-physical metaverse learning environment had a significant impact on learning motivation, multicultural identity and sustainability thinking for culturally sustainable education. However, this study’s impact on critical thinking skills in students remains to be confirmed.

This is a quasi-experimental study of a single country’s elementary school children in the indigenous area, so its findings cannot be extrapolated to other areas or to learners of different ages.

This study introduces a framework for incorporating both virtual and real cultures to promote sustainable learning. The cyber-physical metaverse learning is used to supplement teaching activities to enhance learners' motivation in learning multicultural knowledge. Students were able to recognize and protect cultural assets, as well as emphasize the importance of sustainable development.

The purpose of this paper is to examine the ethical investment willingness decision-making process to understand how investors evaluate corporate social responsibility (CSR) actions.

Data were collected through a survey of 298 individual investors and analyzed using structural equation modeling.

Results reveal that perfectionist decision-making style is positively related to perceived moral intensity, substitutability of financial returns, and ethical investment willingness. In addition, perceived moral intensity and substitutability of financial returns are positively related to ethical investment willingness. Finally, perceived moral intensity is positively related to substitutability of financial returns, and a two-factor causal mediation model is supported.

The limitation of this study was that the pre-tests and sampling methods required all participants to have investing experience; however, procurement of trading information for each investor was impossible; thus, actual investment behaviors were undetermined. This study shed light on the mediating roles of perceived moral intensity and the substitutability of financial returns. Future studies can further investigate the factors influencing perceived moral intensity and the substitutability of financial returns.

Future ethical investment education can focus on cultivate the ability to distinguish ethical investments and change ethical investment willingness into actual investment behavior.

Understanding the relationship between these variables can help understand why ethical investment willingness varies among investors and how the traditional financial theory investment decision model should be revised as, internationally, more people have begun to observe CSR and sustainable development.