Big data driven cycle time parallel prediction for production planning in wafer manufacturing

Cycle time forecasting (CTF) is one of the most crucial issues for production planning to keep high delivery reliability in semiconductor wafer fabrication systems (SWFS). This paper proposes a novel data-intensive cycle time (CT) prediction system with parallel computing to rapidly forecast the CT of wafer lots with large datasets. First, a density peak based radial basis function network (DP-RBFN) is designed to forecast the CT with the diverse and agglomerative CT data. Second, the network learning method based on a clustering technique is proposed to determine the density peak. Third, a parallel computing approach for network training is proposed in order to speed up the training process with large scaled CT data. Finally, an experiment with respect to SWFS is presented, which demonstrates that the proposed CTF system can not only speed up the training process of the model but also outperform the radial basis function network, the back-propagation-network and multivariate regression methodology based CTF methods in terms of the mean absolute deviation and standard deviation.     

Service innovation in the hotel industry: culture,behavior, performance

The aim of this study is to focus on the service innovation culture (SIC) in the formation of frontline employees’ (FLE) innovation performance based on two fit theories. More specifically, the research evaluates and examines the mediating role of challenge-oriented citizenship behavior (COCB) and charged behavior in the aforementioned relationship. To test the hypotheses, two-step structural equation modeling with bootstrapping estimation was conducted in AMOS, using data from 215 full-time frontline hotel employees over a one-month time period. This study establishes that the development of a SIC is positively related to the innovation performance of FLE. Likewise, the results indicate that there is a partially mediating role for the COCB and expanded charged behavior (encompassing vitality and creative self-efficacy) of FLE in the relationship between SIC and innovation performance. The findings of this study highlight the need for managers to incorporate a secure and trusting work environment so FLE will eagerly participate in the service innovation process by voicing their novel ideas. Managers can also consider the significance of the employee selection procedures and take advantage of employing university graduate for frontline service jobs.     

Analysis of the effect of charging infrastructure design on electric taxi driving profiles: A case study approach on the example of Singapore

Replacing conventional vehicle taxis with electric vehicles would be an efficient measure to reduce greenhouse gas emissions. Due to the limited range and long charging times of current battery electric vehicles, it is of utmost importance to provide sufficient charging facilities. This article analyses the impact of the placement and charging power of charging stations on potential mileage and revenue of electric taxis on the example of Singapore. Therefore, we developed an agent-based electric taxi simulation model to investigate electric taxis’ driving profiles with respect to different vehicle types and charging infrastructure designs. This model is also capable of simulating conventional taxi driving profiles. The validation of these simulation results with real taxi data showed that the model is reproducing taxi driving profiles with high accuracy in great detail. We found out that electric taxis could reach the same mileage and revenue as conventional taxis if charging with a power of 160?kW is possible. Furthermore, we discovered that waiting times for available charging stations have a stronger effect on revenue than the length of detours to reach charging stations. Based on these findings, we concluded that it is more important to reduce waiting times by placing sufficient numbers of charging stations at each location before expanding the charging network by installing small numbers of charging stations at many locations.     

Dress for success: the effect of exhibitors’ dress conformity and self-construal on attendees’ approach behavior

ABSTRACT

The purpose of the current study is to investigate how attendees’ approach behavior is influenced by exhibitors’ dress conformity. A 2 × 2 between-subjects quasi-experimental design was utilized for this study. Our results showed that conforming dress for exhibitors can lead to a higher level of approach behavior of trade show attendees as compared with nonconforming dress, and the effect of exhibitors’ dress styles on approach behavior is moderated by attendees’ self-construal. Findings of this study provide significant insights for trade show exhibitors and attendees.     

地方技能型高水平大学视角下的校内实训室建设与管理--以六安职业技术学院旅游管理实训中心为例

以六安职业技术学院旅游管理实训中心为例，探讨在建设地方技能型高水平大学的过程中，如何来建设与管理校内实训室。     

Reinterpreting the theory of planned behavior and its application to green hotel consumption intention

The main aim of this paper was to understand a guest’s decision to stay at a green hotel by using the theory of planned behavior (TPB) developed by Ajzen (1991). The population for this study was green hotel customers in Taiwan. A total of 425 usable responses were received from the willing participants around the parking area of green hotels. This study performed a PLS-SEM to examine the proposed model. The results of this study showed that social pressure has very little direct impact on behavioral intention to stay at a green hotel. The results of the estimated standardized regression coefficients and t-values indicated that perceived behavioral control has a slightly higher impact on behavioral intention than attitude. This study also verified the proposed mediating relationships between the first-order and second-order antecedents. This study provided theoretical and managerial implications for understanding respondents’ decision to stay at a green hotel.     

Dynamic pricing of ancillary services based on passenger choice behavior

Based on passenger choice behavior, a dynamic pricing mechanism of ancillary services has been brought up for analysis in this paper. With the analysis of the passenger choice behavior of ancillary services, this study (1) analyzed the pricing of ancillary services from airlines' websites, (2) launched a survey to investigate passengers’ characteristics and preferences, (3) applied the binary logistic model to analyze passenger choice of ancillary services, and integrated into the dynamic pricing model of ancillary services. The optimal prices can be obtained at the maximum of the revenue. Based on the historical data of a Chinese domestic flight, the optimal prices of ancillary services for different types of passengers can be obtained at the maximum revenue of ancillary services, with a 74.4% increase of revenue. This paper not only created a general pricing model for improving the ancillary revenue but also provided theoretical support for ancillary pricing. The model with enough data can be dynamically applied to various flights and ancillary services.     

The new ecological paradigm and responses to climate change in China

The purpose of this study was to develop and evaluate a Chinese-Mandarin version of the revised new ecological paradigm (NEP-R) scale. In a sample of 515 Mandarin-speaking Chinese nationals, we first assessed the factor structure and internal consistency of the NEP-R and assessed its validity by examining associations with global warming risk perceptions and mitigation behavior. Respondents completed the NEP-R scale, together with measures of risk perception and mitigation behavior. Exploratory and confirmatory factor analyses indicated that a two-factor solution, reflecting ecocentric and anthropocentric worldviews, best fit the data. Multi-group path analysis revealed that respondents with stronger ecocentric and weaker anthropocentric worldviews perceived more risks associated with global warming. In turn, respondents who perceived more risks reported engaging in more global warming mitigation behaviors. But importantly, the path between risk perceptions and behavior was significantly stronger for highly educated respondents than for less educated respondents, suggesting that education may represent an important strategy for bridging the gap between perceived risks about global warming and action.     

Workplace deviance and human resource management relations: A case study of Turkish hotel employees

The main purpose of this study is to examine the negative associations between employees' perception of the effectiveness of performance appraisal practices and deviant workplace behavior. This study also tests the mediating effect of the forms of organizational justice in the relationship between performance appraisal practices and deviant workplace behavior. Moreover, it also investigates how line managers' performance appraisal politics may influence the relationship between perceptions of performance appraisal practices and employee deviant workplace behavior. In order to facilitate this study, the research team employed a survey design. A total of 193 service employees from different service establishments attended the forum where the study was conducted in the capital city of Turkey, Ankara. The results of this study strongly support the premise that effective performance appraisal practices influence employee deviance behavior, and especially that interactional justice is an important predictor of employee violative behavior. Moreover, the findings indicate that there is no evidence regarding the moderating effect of employees' perception of managers' appraisal politics in the negative relationship between performance appraisal effectiveness and employee deviance.     

The intertemporal risk-Return relation,investor behavior,and technical trading profits: evidence from the G-7 countries

The intertemporal risk-return relation and investor behavior are both important pricing factors that jointly determine the expected market risk premium. Using the price adjustment process as a control variable, we find that the intertemporal risk-return relation is positive conditional on bad market news, but is non-positive conditional on good market news. This implies that good (bad) market news weakens (strengthens) the positive risk-return relation. The pattern in the distortion of the risk-return relation is consistent with short-term mispricing in which investors overvalue (undervalue) the stock market in reaction to good (bad) market news. We also show that ignoring the price adjustment process in the estimation of the risk-return relation leads to model misspecification and induces an upward (downward) bias in estimates of the relative risk aversion parameter conditional on good (bad) news. Our model of the asymmetric risk-return relation along with the price adjustment process is capable of generating the return dynamics that is attributable to technical trading profits. We suggest that the profitability of technical trading rules is not a violation of market efficiency, but a consequence of trading rules exploiting the asymmetric effect of price changes on the risk-return relation, along with the persistence property of price changes.