Search results

This study aims to examine the psychological distress experienced by unemployed and furloughed hospitality workers during the COVID-19 crisis and further investigate how this distress affects their career change intentions.

Derived from a sample of 607 unemployed and furloughed hospitality workers during the COVID-19 pandemic, the data for this research are analyzed using structural equation modeling.

This study reveals that unemployed and furloughed hospitality workers are financially strained, depressed, socially isolated and panic-stricken due to the pandemic’s effects. These effects lead to impaired well-being and an increased intention to leave the hospitality industry. Female and younger employees are impacted to a greater extent, while furloughed workers received fewer impacts compared to their laid-off compatriots.

This study suggests that lockdown restrictions need to be implemented more deliberately, and the psychological well-being of the hospitality workforce deserves more immediate and continuing attention. It advises that hospitality businesses consider furloughs over layoffs when workforce reduction measures are necessary to combat the financial crisis.

This study adds to the current literature by examining the impact of the COVID-19 pandemic from the employee perspective. New insights are offered on the psychological toll of workforce reduction strategies during the financial fallout and how these distressing experiences affect career change intention.

On Instagram, a verified badge (a blue checkmark) is used to confirm the authenticity of influencers' accounts for consumers. Yet, it is unclear whether followers trust the badge or are influenced by the influencer's large following. This research aims to investigate the impact of verified badges on followers' trust and behavioral intentions.

This research conducts three experiments to investigate the impact of the verified badge on consumer attitudes and behavioral intentions, recruiting participants from freelance recruiting website in all three experiments.

The results show that a verified badge can sequentially influence consumer trust, attitude and sharing intentions. Furthermore, the impact of the verified badge on trust is more pronounced among micro-influencers as opposed to macro-influencers, and it can mitigate the negative attitude toward commercial postings.

Based on trust transfer theory, this research is a pioneer in investigating the effectiveness of verified badges on social media. These findings contribute to the field of influencer marketing by considering influencers' characteristics and the commercial intent of postings as moderators. Additionally, the results offer managerial insights for developing influencer marketing strategies.

The introduction of artificial intelligence (AI) technology has had a substantial influence on the retail industry. However, AI adoption entails considerable responsibilities and risks for senior managers. In this study, the authors developed an evaluation and selection mechanism for successful AI technology adoption in the retail industry. The multifaceted measurement and identification of critical factors (CFs) can enable retailers to adopt AI technology effectively and maintain a sustainable competitive advantage.

The evaluation and adoption of organisational AI technology involve multifaceted decision-making for management. Therefore, the authors used the analytic network process to develop an AI evaluation framework for calculating the weight and importance of each consideration. An expert questionnaire survey was distributed to senior retail managers and 17 valid responses were obtained. Finally, the Vlse Kriterijumska Optimizacija Kompromisno Resenje (VIKOR) method was used to identify CFs for AI adoption.

The results revealed five CFs for AI adoption in the retail industry. The findings indicated that after AI adoption, top retail management is most concerned with factors pertaining to business performance and minor concerned about the internal system's functional efficiency. Retailers pay more attention to technology and organisation context, which are matters under the retailers' control, than to external uncontrollable environmental factors.

The authors developed an evaluation framework and identified CFs for AI technology adoption in the retail industry. In terms of practical application, the results of this study can help AI service providers understand the CFs of retailers when adopting AI. Moreover, retailers can use the proposed multifaceted evaluation framework to guide their adoption of AI technology.

The purpose of this paper is to examine the key factors that affect users’ adoption of e-books using an extension of the unified theory of acceptance and use of technology (UTAUT) that includes the following factors: environmental concerns, perceived benefits, and benevolence trust.

The authors analyzed survey responses from 343 participants using structural equation modeling to examine the hypothesized relationships in this research model.

The results show that users’ adoption of e-books is determined by performance expectancy, effort expectancy, social influence, facilitating conditions, environmental concern, perceived benefit, and benevolence trust.

The authors restricted this study to consumers’ adoption of e-books. Further studies could examine consumer’s adoption of other mediums, such as cutting-edge information technologies.

The results suggest that marketers should consider altering their methods of promoting e-books to attract consumers and further affect their usage intention.

This study proposes and tests an extended UTAUT model that includes the additional factors of environmental concern, perceived benefit, and benevolence trust in order to examine the influence of these factors on e-book adoption. The findings are particularly useful for assisting managers to increase e-book adoption.

Container terminal operation is one of the most risky industries. Many of the accidents that occurred were found to be caused by human errors. However, it seems relatively little research has been conducted to examine the influence of leader-member exchange (LMX) relationship on employee safety behavior. Therefore, the purpose of this study is to examine the effects of leader-member exchange and safety climate on employees’ safety organizational citizenship behaviors (SOCB) in the container terminal context based on the social exchange theory.

A structural equation modeling was used with confirmatory factor analysis, and survey data are collected from 265 employees in major container terminals in Taiwan.

Results indicated that LMX is positively associated with safety climate, whereas safety climate positively influences employees’ safety citizenship behavior. Specifically, results indicated that safety climate mediates the effect of LMX on employees’ SOCB.

This study was limited to LMX dimensions adapted from the studies of Li and Liao (2014) and Vidyarthiv et al. (2014). Future research could examine the linkages between LMX, ethical climate, safety performance and supervisor leadership influence. Furthermore, this research focused specifically on employees from the container terminal operators in Taiwan. It would be valuable to collect data from employees from other countries to obtain a balanced view of the relationship between LMX, team-member exchange (TMX), safety climate and employee SOCB in container terminal operations.

This research provides a useful implication for container terminal operators to enhance LMX qualities and employee safety behavior through organizational participation, employee-helping behaviors and informing workers to obey safety rule and regulation.

Given the prevalence of accidents and unsafe behavior in container terminal operations, this research sought to examine the relationships among LMX, safety climate and employee SOCB in the container terminal context. Theoretically, this study highlights the importance of LMX and safety climate in explaining the SOCB of employees.

This paper describes a computer supported ubiquitous learning environment for minority language learning. Hakka language involved various tones, art, craft, festivals, food, drink, medicine, religion and custom in different regions. The tones also vary across the dialects of Hakka. The majority of Hakka dialects have six tones in Taiwan. The context for Hakka language translation and use is extremely important. The purpose of this paper is to present the context-aware annotation service to help readers get the right information for Hakka language use and learning more easily.

This paper proposes the context-aware learning support system for Hakka culture-specific items or language, which is called Hakka culture-specific items annotation system (HACSIAS). HACSIAS is the context-aware annotation system, helping learners to add links of culture-specific items when they are reading the electronic journals, books, and web pages.

The HACSIAS provides learner appropriate information for Hakka culture-specific items deriving the learner’s situation and personal information. The context-aware computing will automatically provide translation service by searching a given culture-specific items database while these items or terminology appear in a document, either by displaying terms in the translation memory.

The context-aware annotation system for Hakka culture-specific language learning allows Hakka cultural resources to be smoothly integrated into learning materials.

In recent years, high‐speed recording CD‐R has already become the mainstream of CD‐R market. Therefore, to promote the efficiency of recording CD‐R is of significant importance. This study uses Taguchi’s parameter design to improve the yield rate for the process of CD‐R substrate. We have found 13 three‐level controllable factors from the fishbone diagram, repeted 10 times the experiment with the L₂₇(3¹³) orhogonal array, and measured seven quality characteristics. We employ four general methods to find the optimal parameter conditions individually. Then, we perform the confirmation experiement and compare the results. Finally, we obtain the optimal parameter conditions. According to the analysis of benefits, the optimal parameter conditions can reduce the quality loss of CD‐R substrte to about 21 per cent. In the future, the results can be extended to other research of DVD‐R substrate.

The purpose of this paper is to investigate the problem faced by many Taiwanese restaurant owners who trying to set up their shops in Thailand.

Two surveys were conducted in this study. The first interview questionnaire was designed using the factors proposed by Parasuraman et al. (1988, 1991) and given to restaurant owners/managers who successfully set up shops in Thailand. The second questionnaire was constructed specifically for Thai consumers.

Gray relational analysis (GRA), theory of inventive problem-solving (teoriya resheniya izobreatatelskikh zadatch, TRIZ) and interpretive structural model (ISM) were used to identify potential difficulties and to determine the key factors impacting the shop establishment and development in Thailand. The results provide a set of strategic sequence when launching restaurant in Thailand.

A result of GRA determined 14 important factors that influence customer perception of quality service. A TRIZ analytic process provided 17 strategies when setting up overseas shop and the ISM class diagram shown the three phases needed to be considered before restaurant owners can set up shops abroad. The three phases are construction, operation and competition phases. These set of strategies sequence when launching a restaurant in Thailand.