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This study aims to explore the relationships among antecedents (i.e. quality) and outcomes (i.e. trust, support, theme awareness and extension effect) of satisfaction at the 2013 Osong Cosmetics & Beauty (C&B) Expo held in Korea.

An onsite survey with self-administered questionnaires was administered for this study. A structural equation modeling (SEM) technique was used to analyze the relationships among ten constructs in the research model.

The results indicate that hospitality and product dimensions of quality positively affect satisfaction, satisfaction exerts positive influence on trust and theme awareness, trust performs an important role as a mediator between satisfaction and support and theme awareness significantly mediates satisfaction and extension effect.

This study encourages the Expo’s organizers to manage quality attributes to ensure Expo satisfaction and to consider extension effects of Expo experiences from long-term perspectives. This study also recommends that local governments develop symbolic products with exhibitors to strengthen the association of Expo themes with regions.

The current study highlights the role of quality as an antecedent of satisfaction with the C&B Expo, which has not been well-known despite its crucial role in the industry and the regional economy. It also improves the understanding of the inherent cause–effect relationships among antecedents and outcomes of Expo satisfaction. Therefore, this study provides crucial insights that the C&B Expo could be an effective means to reach target markets and stimulate trust from visitors, which, in turn, would encourage support for the C&B industry and extension effects for C&B products as a whole.

Although voice behavior is important for team performance, scholars have yet to identify its underlying mechanisms and boundary conditions. Using the theory of social information processing (SIP), this study explores how and when team voice influences team performance by considering team learning as a mediator and contingent reward transactional (CRT) leadership as a moderator.

The authors conducted a survey in China using a questionnaire to collect the data. The study sample consisted of 78 leaders and 441 employees nested in 78 teams.

Results showed that team voice was positively related to team performance. The results also proved that the positive relationship between team voice and team performance was mediated by team learning. Additionally, CRT leadership enhanced the effect of team voice on team learning.

First, managers should consider individuals high in voice behavior when selecting team members. Second, leaders need to focus on enhancing the learning process. Third, the authors’ findings suggest that when selecting persons as team leaders, managers should pay additional attention to their leadership style.

The primary contribution of this study is that the research sheds light on the specific team process (i.e. team learning), through which team voice is related to team performance. Moreover, the current study deepens the authors’ understanding of the role of leadership in the voice process by identifying the moderating role of CRT leadership.

This study aims to explore the associations linking employees’ challenge-hindrance appraisals toward artificial intelligence (AI) to service performance while considering the dual mediating roles of job crafting and job insecurity, as well as the moderating role of AI knowledge.

A survey was administered to a sample of 297 service industry employees. This study examined all the hypotheses with Mplus 8.0.

This study confirms that challenge appraisal toward AI has an indirect positive influence on service performance via job crafting (motivation process), whereas hindrance appraisal toward AI has an indirect negative influence on service performance via job insecurity (strain process). Meanwhile, AI knowledge, serving as a key personal resource, could strengthen the positive impacts of challenge appraisal toward AI on job crafting and of hindrance appraisal toward AI on job insecurity.

Organizational decision-makers should first survey employees’ appraisals toward AI and then adopt targeted managerial strategies. From the perspective of service industry employees, employees should adopt proactive coping strategies and enrich their knowledge of AI to meet the challenges brought by this technology.

The primary contribution of this study is that we enrich the literature on AI by exploring the dual mediators (i.e. job crafting and job insecurity) through which AI awareness affects service performance. Moreover, this study advances our understanding of when appraisals toward AI influence job outcomes by identifying the moderating role of AI knowledge.

Using volatility cones as the estimate of actual volatility instead of GARCH models, the purpose of this paper is to explore whether volatility arbitrage strategy can provide positive profits and how the transaction costs existed in the real market affect the effectiveness of volatility arbitrage strategy.

A number of hedging approaches proposed to improve the hedging results and final returns of Black-Scholes model are analyzed and compared.

The general finding is that volatility arbitrage strategy can provide satisfactory returns based on the samples in Chinese market. Regarding transaction costs, the variable bandwidth delta and delta tolerance approach showed better results. Besides, choosing futures together with ETFs as hedging underlying can increase the VaR for better risk management.

This paper offers a new method for volatility arbitrage in Chinese financial market.

This paper researches the profitability of the volatility arbitrage strategy on ETF 50 options using volatility cones method for the first time. This method has advantage over the point-wise estimation such as GARCH model and stochastic volatility model.

The purpose of this paper is to examine how abusive supervision affects employee creativity, incorporating departmental identification as a mediator and face as a moderator based on social identity theory.

The study sample consisted of 207 full-time employees in China.

Results indicate that abusive supervision is negatively related to employee creativity and this relationship is fully mediated by departmental identification. In addition, face held by employees plays a moderating role: the direct effect of abusive supervision on departmental identification and the mediating effect of departmental identification are stronger when face is low rather than high.

This study also has major practical implications for organizations. First, the organizations should fully understand the harmfulness of abusive supervision and try to avoid abusive behaviors. Second, the organizations could enhance employee creativity by promoting departmental identification. Third, employees who hold low face should get more attention and support.

This study makes several theoretical implications. First, findings contribute to enriching one’s understanding of the relationship between abusive supervision and employee creativity in China. Second, the domain of abusive supervision is expanded by empirically testing departmental identification as a crucial psychological mechanism explaining the abusive supervision – employee creativity relationship. Third, this study also advances one’s understanding of social identity process by examining empirically moderating effects of cultural value in the relationship between abusive supervision and employee creativity.

The purpose of this paper is to test the moderating role of work-related stressors on the relationship between voice behavior and the voicer’s creative performance.

The sample comprised 781 full-time employees from 16 companies covering six industries in the central region of China. Hierarchical moderated regression analyses were used to test the hypotheses.

Results showed that voice behavior had significant positive effect on creative performance. The positive relationship between voice behavior and creative performance was stronger for employees with low challenge stressors as well as for employees with high hindrance stressors.

This study employs a cross-sectional design with data collected from the same source.

The findings suggest that employees should be encouraged to voice out their opinions and ideas. Work-related stressors should be treated differently to expand the effects of voice behavior on creative performance.

This study is one of the few to establish boundary conditions from the contextual perspective on the effect of voice behavior on employee performance. Considering whether work-related stressor is a challenge or a hindrance could possibly result in a better understanding of the role of work-related stressors in the voice behavior-creative performance relationship. An empirical evidence is provided for the positive relationship between voice behavior and employee performance outcomes.

This research deals with the critical factors of quality and their significance to perceived security as an effort to build a formidable loyalty of customers in a technology driven service environment. The primary purpose of this study is to investigate the key contributing elements of functional and service quality on perceived security and to further analyze its impact on customer satisfaction and loyalty.

A hypothesized structure model is proposed and justified using the data collected in the manufacturing and telecommunication service sectors in South Korea through survey with total 647 respondents. To clarify the reliability of model and validity of the proposed hypothesis, AMOS 24.0 software was utilized. Furthermore, two moderating variables were adopted for the depth understanding.

This study reveals that service quality dominantly influences the level of perceived security due to its characteristics that are mostly formed on the stage of customer-contact activity. This study further provides a strategic methodology for manufacturing and telecommunication firms to foster sustainable growth by focusing on perceived security during the service delivery process.

This finding is particularly important as Ontact technology becomes increasingly critical during the COVID-19 pandemic. It is worthwhile noting that the research outcome of this study may, in turn, trigger the trust issue that need to be combined with quality in the era of Industry 4.0.

An increasing amount of attention is being paid to three-dimensional (3D) printing technology. The technology itself is based on diverse technologies such as laser beams and materials. Hence, 3D printing technology is a converging technology that produces 3D objects using a 3D printer. To become technologically competitive, many companies and nations are developing technologies for 3D printing. So to know its technological evolution is meaningful for developing 3D printing in the future. The paper aims to discuss these issues.

To get technological competitiveness of 3D printing, the authors should know the most important and essential technology for 3D printing. An understanding of the technological evolution of 3D printing is needed to forecast its future technologies and build the R & D planning needed for 3D printing. In this paper, the authors propose a methodology to analyze the technological evolution of 3D printing. The authors analyze entire patent documents related to 3D printing to construct a technological evolution model. The authors use the statistical methods such as time series regression, association analysis based on graph theory, and principal component analysis for patent analysis of 3D printing technology.

Using the proposed methodology, the authors show the technological analysis results of 3D printing and predict its future aspects. Though many and diverse technologies are developed and involved in 3D printing, the authors know only a few technologies take lead the technological evolution of 3D printing. In this paper, the authors find this evolution of technology management for 3D printing.

If not all, most people would agree that 3D printing technology is one of the leading technologies to improve the quality of life. So, many companies have developed a number of technologies if they were related to 3D printing. But, most of them have not been considered practical. These were not effective research and development for 3D printing technology. In the study, the authors serve a methodology to select the specific technologies for practical used of 3D printing.

Diverse predictions for 3D printing technology have been introduced in many academic and industrial fields. Most of them were made by subjective approaches depended on the knowledge and experience of the experts concerning 3D printing technology. So, they could be fluctuated according to the congregated expert groups, and be unstable for efficient R & D planning. To solve this problem, the authors study on more objective approach to predict the future state of 3D printing by analyzing the patent data of the developed results so far achieved. The contribution of this research is to take a new departure for understanding 3D printing technology using objective and quantitative methods.

The purpose of this paper is to investigate the optimal operational strategies in a green platform supply chain and provide suggestions on the selection of sales and financing modes for the capital-constrained manufacturer.

This study combines different sales channels with financing modes and investigates three sales-financing modes, i.e. traditional sales-prepayment financing (TSPF), traditional sales-bank financing (TSBF) and online sales e-retailer financing (OSEF). By establishing and comparing Stackelberg game models of these sales-financing modes from the perspectives of economy, environment and social welfare, the optimal strategies of emission reduction, financing, pricing and service improvement are obtained.

The results suggest that as the commission rate increases to a certain level, a threshold of the cost coefficient of emission reduction can be found such that the manufacturer should choose OSEF below this threshold and TSBF above this threshold. OSEF is Pareto optimal when this cost coefficient is low, and this mode can lead to the highest social welfare when the platform loan interest rate is relatively low. The Pareto areas in TSBF and OSEF enlarge as the default coefficient decreases.

These results can provide operational insights on how to select sales channels and financing modes when manufacturer faces financial constraints in emission reduction.

This paper combines different sales and financing modes to study their comprehensive influence on the decision-makings of chain members and the resulting performance of economy, environment and social welfare.

Guided by a life course theoretical perspective, this study aimed to examine associations between providing caregiving for a young or adult son or daughter with special needs and multiple dimensions of physical health status among married midlife and older adults, as well as moderation of these associations by gender and marital quality (i.e., marital strain).

Regression models were estimated using data from 1,058 married adults aged 33–83 (National Survey of Midlife in the U.S. (MIDUS), 2005).

Parental caregiving for a young or adult child with special needs (in contrast to no caregiving) was linked to poorer global health and more physical symptoms among both fathers and mothers. Father caregivers reported slightly more chronic conditions than noncaregiving men, regardless of marital quality. By contrast, mother caregivers reported a much higher number of chronic conditions when they also reported a high level of marital strain, but not when they reported a low level of marital strain.

Overall, results provide evidence from a national sample that midlife and older parents providing caregiving for a child with special needs are at risk for poorer health outcomes, and further tentatively suggest that greater marital strain may exacerbate health risks, particularly among married mother caregivers.