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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.

As the application of artificial intelligence (AI) becomes more prevalent, many high-tech firms have employed AI applications to deal with emerging societal, technological and environmental challenges. Big data analytical capability (BDAC) has become increasingly important in the AI application processes. Drawing upon the resource-based view and the theory of planned behavior, this study aims to investigate how BDAC and collaboration affect new product performance (NPP). Practically, a harmonic working team is particularly important for creating management synergies, this empirical analysis demonstrates the importance of BDAC and collaboration for NPP.

This paper focuses on the performance of firms that applied AI in their operations. This study collected data from firms in Greater China, including China and Taiwan, as Greater China is currently the leading manufacturer of semiconductor, electronic and electric products for AI applications in the manufacturing process. Confirmatory factor analysis and structural equation modeling is employed for statistical analysis.

The analytical results indicate that BDAC positively relates to collaboration capability (CC) in AI applications but not to team collaboration (TC). CC positively correlates with TC, and both CC and TC positively correlate with NPP. Further, the mediating effect was examined using the Sobel t-test, which reveals that CC is a significant mediator in the influence of BDAC on NPP.

The strategic implementation of BDAC and collaboration can allow an enterprise to improve its NPP when driven by the external environment to use AI, which further enhances NPP. These processes indicate that AI and BDAC are both crucial for the success of a company’s collaboration and for effective management to improve NPP in the face of global competition.

This study introduces the concept of BDAC to explain the relationship between CC and TC, as they pertain to NPP. This study presented a discussion of the theoretical and practical implications of the research findings and could provide a framework for managing BDAC.

The purpose of this paper is to explore whether online leadership affects offline leadership through a mediation mechanism.

Drawing on social presence theory, the authors developed a mediation model of online leadership to offline leadership, and examine the moderating effect of interactivity. Data were collected through an internet questionnaire, with gamers in Taiwan’s leading forum as research targets. After receiving 912 valid questionnaires, the authors used SPSS 21 and AMOS 21 to conduct data analysis to test the model.

The results show that online leadership will affect offline leadership. Moreover, game achievements and character identification have partial mediated effects in this model. Finally, interactivity has a moderating effect in this model.

These findings provide insights for future leadership training effectiveness, training guidelines, game design, and selection of references.

This research extends the current state of knowledge about the paths to transfer online leadership experiences to office situations through direct influence, game achievement, and character identification.

The study examines how process/organizational innovation and R&D spending mediate the relationship between financial performance and the resource dependence theory in Fintech, providing insights into effective innovation strategies for achieving sustainable financial performance.

Data from 191 financial firms in Taiwan was collected from annual reports using the Taiwan Economic Journal (TEJ), a financial information provider. Content analysis was used to measure innovation activities and financial performance, with process and organizational innovation defined. R&D expenditures were also collected and used in statistical analysis to explore the relationship between variables.

This study on the financial services industry shows that process innovation and R&D expenditure positively impact firm performance, while organizational innovation may have a negative short-term effect but could have long-term benefits.

Limitations of this study include vulnerability to spurious effects and the use of data from only listed financial service firms. Future research should use more short-term performance data and include unlisted firms in the financial services industry to extend the study’s coverage.

This study extends resource dependence theory to financial services and explores the effects of process and organizational innovation on firm performance. Results show that internal process management boosts performance, while external collaboration with startups enhances Fintech innovation and efficiency, with positive short-term effects. The study highlights the importance of interacting with external organizations to access resources and improve performance in financial services.

For precisely presenting the swimming behavior of fish robots underwater and the practical implementation purpose, this paper aims to investigate a well-formulated fish robot model which integrates the nonlinear rigid body dynamics, kinematics and models of actuators.

This fish robot model is mainly built up by three basic parts: a balance mechanism, a four-links vibrator and a caudal fin. In the fish robot’s head, there is a balance mechanism used to control the rotations in pitch and roll directions of the fish robot by moving two movable masses. The four-links vibrator with three active joints actuated by DC motors is designed to vibrate the fish’s body. In the end of the fish robot body, a caudal fin which connects with the passive joint is developed to generate hydrodynamic thrust forces to propel the fish robot.

From the real stability tests and control verification, it is obvious that this proposed model can precisely present the swimming behavior of fish robots and possesses the potential to develop a fish-like robotic prototype.

A well-formulated model with dynamics of actuators is integrated for presenting the swimming behavior of carangiform locomotion type fish robots in this investigation. From the simulation results and the practical test of a real fish robot, the feasibility of this proposed model for building up real fish robots can be proven, and this proposed model is accurate enough to effectively present the swimming behavior of fish robots.

Eco-labeling will grow in importance as natural resources grow scarcer and environmental concerns increase. The purpose of this study considers team collaboration (TC) and integration capability (IC) to examine the possible effects of team member’s shared vision (SV) on the performance of marketing eco-labeled products.

Theoretical perspectives on SV, IC and TC were studied to evaluate the development of eco-labeled products and to improve their marketing performance. A total of 247 eco-label products were sampled; confirmatory factor analysis and structural equation modeling were used for statistical analysis.

The results demonstrate that team members’ SV is positively correlated with TC. Both TC and IC are positively correlated with the performance of eco-labeled product marketing, but SV does not correlate positively with IC. The results herein also demonstrate that TC significantly mediates the effect of SV on the performance of eco-labeled product marketing.

Firstly, this research aimed to study the effects of SV, TC and IC, particularly on the performance of marketing eco-labeled products. The analysis on other organizational performance, for example, human resource management performance or financial performance can be further studied. Secondly, further study of different products is necessary as different eco-labeled products have dissimilar product life cycle patterns. As human environmental concern grows, firms engaging in the manufacture of eco-labeling products will increase significantly and cover many different products. The analyses on different products or applications require further study to elucidate diverse management strategies.

An effective SV can rapidly clarify the goals and directions associated with eco-labeled marketing performance. Managers with high expectations of marketing performance can improve marketing performance when they clearly share eco-labeled product development objectives and directions. Proper IC and TC are also essential to the performance of eco-labeled product marketing.

This study introduces the concept of SV to explain the relationship between TC and IC as they pertain to eco-labeling product marketing. A theory of eco-labeling marketing is also presented.

Corporate social responsibility has gradually become an essential enterprise responsibility under stakeholders’ expectations. Employee care strategies involve both qualitative and quantitative factors and are receiving special attention with the advent of the information age. In previous studies, a company’s policy of employee care may not fit with the needs of the employees. Consequently, the purpose of this paper is to investigate enterprises’ employee care from the employee’s perspective by adopting a hybrid multiple attribute decision making (MADM) model.

This study is based on 159 interviews with senior employees and/or department managers using a survey questionnaire. This study uses the MADM model to conduct the analysis. First, this research study used Decision-Making Trial and Evaluation Laboratory (DEMATEL) to construct an influential network relations map of the 4 dimensions and 13 criteria of employee care. Second, this study uses DEMATEL-based Analytic Network Process to conduct a weight analysis for each dimension and criterion. Third, this study uses VIKOR to calculate employees’ level of satisfaction as well as the gap from the “aspired level.”

The results of the study revealed the critical factors influencing employee care and proposed a systematic plan to be used as a reference for improvement. The improvement sequence revealed the following order: Equal employment opportunities→Good industrial relations and benefits→Responsibility to train and educate employees→Occupational health and safety. The empirical results showed there was still 35 percent room for improvement in the enterprises’ implementation policy of employee care.

The implementation of employee care has become an important issue for corporations since it helps to sustain and to increase an enterprise’s competitiveness in the business environment. However, the extant literature on employee care comes from enterprises’ perspectives instead of from employees’ perspectives. This research investigates the key factors of employee care and successfully shows MADM to be an effective model for the planning and implementation of corporate social responsibilities’ employee care from the perspective of employees.

This paper aims to consider the practical production environment of electronics manufacturing industry firms, and the large quantities of information collected on machine processes, testing data and production reports, while simultaneously taking into account the properties of the processing environment, in conducting analysis to obtain valuable information.

This research constructs a prediction model of the circuit board assembly process yield. A decision tree is used to extract the key attributes. The authors also integrate association rules to determine the relevance of key attributes of undesirable phenomena.

The results assure the successful application of the methodology by reconfirming the rules for solder skip and short circuit occurrence and their causes.

Measures for improvement are recommended, production parameters determined and debugging suggestions made to improve the process yield when the new process is implemented.

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 investigate the brand building behavior in the luxury hotel industry from the perspective of frontline employees. In particular, this study addresses the importance and relevance of supportive leadership, brand building behavior and customers’ perceived brand image in the hotel industry.

The research uses data from four luxury class (4 and 5 star) hotels in the Pearl River Delta of China. Contact with frontline employees yielded employee and customer data, with 243 of 369 employee questionnaires having one or more matches with 1,158 customer questionnaires. Hierarchical linear modeling was adopted to test the research model.

Luxury hotels benefit from managers who provide supportive leadership that encourages employee brand building behavior. In turn, employee brand building behavior influences customers’ positive perception of brand image.

Brand building behavior is a top-to-bottom process. Luxury hotels need to pay attention to internal brand building orientation, while managers should reinforce the organization’s cultural orientation and provide appropriate job skills training to improve employees’ willingness and ability to build the company’s brand.

Findings of this study contribute to the brand management literature and the hotel management literature by addressing important matters affecting the frontline employees’ brand building behavior.