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By integrating affective events theory and insights from the displaced aggression literature, the purpose of this paper is to highlight that state hostility can serve as an explanation for how perceived undermining by co-workers leads to antagonistic consequences. Distress tolerance and organizational identification are theorized to moderate the hypothesized relationships that are investigated in this study.

PROCESS macro developed by Hayes (2013) was used to test all the hypotheses by using time-lagged, multi-source data collected from 218 Chinese employees associated with the service industry.

The paper finds that state hostility seems to trigger unethical behavior on the part of employees resulting in service sabotage. It is concluded that perceptions of undermining are positively linked to employees’ hostility, which in turn drive service sabotage behavior. Furthermore, employee distress tolerance weakens the effects of perceived undermining on employees’ state hostility, while organizational identification alleviates the effect of employees’ hostility on service sabotage behavior.

This study not only highlights the outcomes of perceived coworker undermining, the mechanism through which it occurs, and the moderating effects of given factors, but also provides insights to the organizations for managing service sector employees so that they can more effectively interact with customers. The findings suggest that employees with high organizational identification are less involved in service sabotage, thus, such measures are necessary to take which help employers to enhance employees’ organizational identification. The authors also suggest managers to clearly communicate the adverse consequences which employees could have to face if they exhibit unethical behavior.

This study addresses the question: when and how perceived coworker undermining affects customers’ services. To date, most of the existing literature considered customers’ negative event and customers’ mistreatment as an antecedent of employees’ service sabotage. However, this study concluded that these are not the only reasons for employees’ service sabotage, employees’ interpersonal mistreatment which occurred beyond customers’ interaction also causes service sabotage.

Quantitative bibliometric approaches were used to statistically and objectively explore patterns in the sharing economy literature.

Journal (co-)citation analysis, author (co-)citation analysis, institution citation and co-operation analysis, keyword co-occurrence analysis, document (co-)citation analysis and burst detection analysis were conducted based on a bibliometric data set relating to sharing economy publications.

Sharing economy research is multi- and interdisciplinary. Journals focused upon products liability, organizing framework, profile characteristics, diverse economies, consumption system and everyday life themes. Authors focused upon profile characteristics, sharing economy organization, social connections, first principle and diverse economy themes. No institution dominated the research field. Keyword co-occurrence analysis identified organizing framework, tourism industry, consumer behavior, food waste, generous exchange and quality cue as research themes. Document co-citation analysis found research themes relating to the tourism industry, exploring public acceptability, agri-food system, commercial orientation, products liability and social connection. Most cited authors, institutions and documents are reported.

The study did not exclusively focus on publications in top-tier journals. Future studies could run analyses relating to top-tier journals alone, and then run analyses relating to less renowned journals alone. To address the potential fuzzy results concern, reviews could focus on business and/or management research alone. Longitudinal reviews conducted over several points in time are warranted. Future reviews could combine qualitative and quantitative approaches.

We contribute by analyzing information relating to the population of all sharing economy articles. In addition, we contribute by employing several quantitative bibliometric approaches that enable the identification of trends relating to the themes and patterns in the growing literature.

Though often considered “the weaker sex,” women have led entrepreneurship to a popular phenomenon. Given their unique characteristics, women face different situations and difficulties than men, but they also enjoy unique advantages as entrepreneurs. SWOT analysis is used in this paper to draw a comprehensive evaluation of women from the aspects of strengths, weaknesses, opportunities, and threats to give some suggestions for entrepreneurial platforms. Finally, a better vision is raised that more research will be proposed to provide theoretical guidance for female entrepreneurship.

The purpose of this paper is to build a transient wear prediction model of surface topography of textured work roll, and then to investigate the wear performance of different original textured surfaces. The surface topography of steel sheets is one of the most important surface quality indexes, which is inherited from the textured work rolls in cold rolling. Surface topography of work roll is obviously changing in the cold rolling process. However, surface topography is difficult to measure in the industry production process.

This paper presents a numerical approach to simulate the wear process based on the mixed lubrication model of cold rolling interface developed by Wilson and Sheu (Sheu and Wilson, 1994). It is assumed that wear takes place at locations where the surfaces are in direct contact, and the volume is removed by an abrasive particle which is an abstract concept based on the wear phenomenon of textured work roll. At each simulation cycle, the distribution of the contact pressure is calculated by the lubrication model. The material is removed by an abstract abrasive particle and the surface topography is modified correspondingly. The renewed surface topography is then used for the next cycle.

Through comparative analysis, it can be found that the simulation results possess similar statistical characteristic with the measured data. A set of roughness parameters such as the amplitude, spacing and frequency-domain characteristics are introduced to analyze the wear performance of different textured surfaces. Numerical examples show that the surface topography has a significant effect on the wear performance of work roll in cold rolling.

The proposed model can accurately predict the wear process of the surface topography in the cold rolling process, which provides the foundation for optimization of original surface topography of textured work roll. The model can also be considered as a tool applicable for research on control of the surface topography of steel strip in the cold rolling process.

This study aims to develop a mathematical programming model for preemptive multi-mode resource-constrained project scheduling problems in construction with the objective of levelling resources considering renewable and non-renewable resources.

The proposed model was solved by the exact method and the genetic algorithm integrated with the solution modification procedure coded with MATLAB software. The Taguchi method was applied for setting the parameters of the genetic algorithm. Different numerical examples were used to show the validation of the proposed model and the capability of the genetic algorithm in solving large-sized problems. In addition, the sensitivity analysis of two parameters, including resource factor and order strength, was conducted to investigate their impact on computational time.

The results showed that preemptive activities obtained better results than non-preemptive activities. In addition, the validity of the genetic algorithm was evaluated by comparing its solutions to the ones of the exact methods. Although the exact method could not find the optimal solution for large-scale problems, the genetic algorithm obtained close to optimal solutions within a short computational time. Moreover, the findings demonstrated that the genetic algorithm was capable of achieving optimal solutions for small-sized problems. The proposed model assists construction project practitioners with developing a realistic project schedule to better estimate the project completion time and minimize fluctuations in resource usage during the entire project horizon.

There has been no study considering the interruption of multi-mode activities with fluctuations in resource usage over an entire project horizon. In this regard, fluctuations in resource consumption are an important issue that needs the attention of project planners.

This paper aims to examine the effects of perceived authenticity at an independent, full-service mainstream ethnic restaurant and the moderating effects of diners’ cultural familiarity and cultural motivation on the influence of perceived authenticity on perceived value and behavioral intention.

A total of 417 self-administered questionnaires were collected from customers of an independent, full-service Italian restaurant in southeastern USA. The data analysis was performed using structural equation modeling.

Restaurant authenticity has a positive influence on perceived value. Respondents who are more familiar with and interested in Italian culture and food tend to attach more value to the restaurant authenticity. Respondents tend to use authenticity to convey quality judgment of the restaurant.

First, this study advances previous literature on dining authenticity by incorporating cultural familiarity and cultural motivation. Second, this study extends the theoretical framework of perceived quality of ethnic restaurants by connecting authenticity perceptions and quality assessment.

Results suggest that the managers at independent, full-service mainstream ethnic restaurants should focus on the restaurants’ environment and atmospheric authenticity, especially for customers who possess cultural familiarity and cultural motivation, while also ensuring the quality of food and service.

This study makes an initial attempt at studying the role of authenticity in a mainstream ethnic restaurant context and adds to the knowledge of restaurant authenticity from the perspectives of cultural familiarity, cultural motivation and perceived quality.

Simulation is a well-known technique for using computers to imitate or simulate the operations of various kinds of real-world facilities or processes. The facility or process of interest is usually called a system, and to study it scientifically, we often have to make a set of assumptions about how it works. These assumptions, which usually take the form of mathematical or logical relationships, constitute a model that is used to gain some understanding of how the corresponding system behaves, and the quality of these understandings essentially depends on the credibility of given assumptions or models, known as VV&A (verification, validation and accreditation). The main purpose of this paper is to present an in-depth theoretical review and analysis for the application of VV&A in large-scale simulations.

After summarizing the VV&A of related research studies, the standards, frameworks, techniques, methods and tools have been discussed according to the characteristics of large-scale simulations (such as crowd network simulations).

The contributions of this paper will be useful for both academics and practitioners for formulating VV&A in large-scale simulations (such as crowd network simulations).

This paper will help researchers to provide support of a recommendation for formulating VV&A in large-scale simulations (such as crowd network simulations).