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This paper breaks through the limitations of the research on bullwhip effect in the traditional supply chain, extends the research perspective to digital supply chain and discusses the weakening effect of digital supply chain on bullwhip effect by comparing the overall performance of the two.

This paper starts with the weakening mechanism of supply chain digitization on bullwhip effect, builds bullwhip effect models of traditional supply chain and digital supply chain, respectively, simulates the influence of supply chain digitization transformation on bullwhip effect by using Matlab software and analyzes the causes of bullwhip effect in supply chain led by T company and the digitization process.

Firstly, digitization can reduce bullwhip effect in multi-level supply chain by reducing information feedback deviation. Second, digital transformation is conducive to improving the overall performance of the supply chain. Third, government incentives can promote the digital transformation of supply chain and inhibit bullwhip effect.

Although the study considers the heterogeneous subject -- the government's incentive effect on digital transformation and information sharing – it does not include the influence of the end node in the supply chain, that is the consumer. In addition, this paper only analyzes and discusses the bullwhip effect on the amplification of demand, without considering the situation that the market contraction will lead to the reduction of demand.

This paper considers the distortion degree and delay degree of information feedback, carries out quantitative analysis of bullwhip effect, builds the bullwhip effect model of traditional supply chain and digital supply chain, uses Matlab software to analyze the difference of the influence of supply chain digital transformation on bullwhip effect suppression and puts forward the corresponding control strategy.

The research shows that digital transformation can reduce the bullwhip effect in multi-layer supply chain by reducing the information feedback deviation, which is conducive to improving the overall supply chain performance, and government support can accelerate the digital transformation of supply chain to a certain extent.

First, break through the limitations of traditional supply chain research, expand the research perspective to digital supply chain and discuss the weakening effect of digital supply chain on bullwhip effect by comparing the overall performance of the two. Second, quantify the bullwhip effect through information feedback bias and provide an analysis method for the weakening of the bullwhip effect. Third, the driving role of the government in the digital transformation of the supply chain is considered in the study, so that the model is more close to the actual situation of enterprise operation.

The purpose of this study is to evaluate the impact of workplace incivility on innovation, organizational citizenship behaviors, organizational commitment and performance in travel agencies. The study also aims at exploring the mediating roles of innovation, organizational citizenship behaviors and organizational commitment in the relationship between workplace incivility and performance.

The questionnaire was used to collect study data from the sample, which consisted of employees in Egyptian travel agencies, category (A), in Cairo Governorate. The questionnaire link was sent to 854 employees in travel agencies, with 644 obtained responses. Only 586 responses were suitable for analysis.

The results depicted that there is a significant and negative effect of workplace incivility on innovation, organizational citizenship behaviors, organizational commitment and performance. The results also revealed a significant and positive effect of innovation, organizational citizenship behaviors and organizational commitment on performance. Moreover, the results indicated that innovation, organizational citizenship behaviors and organizational commitment play partial mediating roles in the link between workplace incivility and performance.

The current study attempts to measure the mediating role of innovation, organizational citizenship behaviors and organizational commitment in the link between workplace incivility and performance. Managerial implications, limitations and future research are also presented.

本研究的主要目的是评估工作场所不文明行为对旅行社创新、组织公民行为、组织承诺和绩效的影响。 该研究还旨在探讨创新、组织公民行为和组织承诺在工作场所不文明行为与绩效之间关系中的中介作用。

调查问卷用于从样本中收集研究数据, 样本包括开罗省埃及旅行社（A）类的员工。 问卷链接发送给854名旅行社员工, 收到644份回复。 只有 586 个回复适合分析。

结果表明, 工作场所的不文明行为对创新、组织公民行为、组织承诺和绩效产生显着的负面影响。 结果还揭示了创新、组织公民行为、组织承诺对绩效的显着和积极影响。 此外, 结果表明, 创新、组织公民行为和组织承诺在工作场所不文明行为和绩效之间的联系中发挥部分中介作用。

当前的研究试图衡量创新、组织公民行为和组织承诺在工作场所不文明行为和绩效之间的中介作用。 还介绍了管理意义、局限性和未来研究。

El objetivo principal del estudio es evaluar el impacto de la falta de civismo en el lugar de trabajo sobre la innovación, los comportamientos de ciudadanía organizativa, el compromiso de la organización y el rendimiento en las agencias de viajes. El estudio también pretende explorar los papeles mediadores de la innovación, las conductas de ciudadanía organizativa y el compromiso de la organización en la relación entre la incivilidad en el lugar de trabajo y el rendimiento.

Se utilizó el cuestionario para recopilar los datos del estudio de la muestra, que estaba formada por empleados de agencias de viajes egipcias, categoría (A), de la gobernación de El Cairo. El enlace del cuestionario se envió a 854 empleados de agencias de viajes, de los que se obtuvieron 644 respuestas. Sólo 586 respuestas fueron aptas para el análisis.

Los resultados revelaron que existe un efecto significativo y negativo de la falta de civismo en el lugar de trabajo sobre la innovación, las conductas de ciudadanía organizativa, el compromiso de la organización y el rendimiento. Los resultados también revelaron un efecto significativo y positivo de la innovación, los comportamientos de ciudadanía organizativa, el compromiso de la organización sobre el rendimiento. Además, los resultados indicaron que la innovación, las conductas de ciudadanía organizativa y el compromiso de la organización desempeñan papeles mediadores parciales en el vínculo entre la falta de civismo en el lugar de trabajo y el rendimiento.

El presente estudio trata de medir el papel mediador de la innovación, las conductas de ciudadanía organizativa y el compromiso de la organización en el vínculo entre la falta de civismo en el lugar de trabajo y el rendimiento. También se presentan las implicaciones para la gestión, las limitaciones y las investigaciones futuras.

With the widespread popularity of Esports, Esports game addiction has attracted wide attention. This research explores the causes of Esports game addiction among college students in Mainland China and the influence of specific participation motivation and self-control on college students’ Esports game addiction.

This research applied the organismic integration theory (OIT) instead of the basic psychological needs theory using Honor of Kings, the most popular Esports game in the form of multiplayer online battle arena (MOBA) among Chinese college students. A total of 339 completed questionnaires were finally analyzed. SmartPLS 2.0 M3 was used to perform the PLS-SEM analysis on the relationship between self-control, participation motivation and Esports game addiction.

Only introjected regulation and a motivation positively impacted Esports game addiction, while intrinsic motivation, integrated regulation, identified regulation and external regulation had surprisingly no effect on Esports game addiction.

Scant studies have explored Esports game addiction in MOBA games, especially in Asia. Results showed that parents, schools and society should consciously strengthen the education and exercise of students’ self-control ability to prevent Esports game addiction. Game developers should appropriately adjust game structures and functions to prevent college students from using them as social tools or games to escape reality.

The purpose of this study is to build a personalized learning intervention system, which can support students' personalized learning, improve teachers' teaching efficiency and students' learning effect.

The research proposes a personalized learning intervention method based on a collaborative filtering algorithm and knowledge map. The application of knowledge map makes learning content organized, and the use of collaborative filtering algorithm makes it possible to provide personalized learning recommendations for students. This personalized learning intervention system can monitor students' learning development and achieve the combination of personalized and efficiency. For the study, 152 seventh graders were assigned to a control group and an experimental group. Traditional learning intervention was used in the control group, and individualized learning intervention was used in the experimental group.

SPSS was used for data organization and analysis. The effectiveness of the personalized learning intervention system is verified by quasi-experimental research, and the influence of the system on students' learning effect is discussed. The result found that personalized learning interventions were more effective than traditional approaches in improving students’ achievement. However, for students of different learning levels, personalized learning intervention system has different effects on learning confidence and learning anxiety.

The personalized learning intervention system based on the collaborative filtering algorithm and knowledge map is effective in improving learning effect. And, it also has a certain influence on students' psychology.

Project scheduling plays an essential role in the implementation of a project due to the limitation of resources in practical projects. However, the existing research tend to focus on finding suitable algorithms to solve various scheduling problems and fail to find the potential scheduling rules in these optimal or near-optimal solutions, that is, the possible intrinsic relationships between attributes related to the scheduling of activity sequences. Data mining (DM) is used to analyze and interpret data to obtain valuable information stored in large-scale data. The goal of this paper is to use DM to discover scheduling concepts and obtain a set of rules that approximate effective solutions to resource-constrained project scheduling problems. These rules do not require any search and simulation, which have extremely low time complexity and support real-time decision-making to improve planning/scheduling.

The resource-constrained project scheduling problem can be described as scheduling a group of interrelated activities to optimize the project completion time and other objectives while satisfying the activity priority relationship and resource constraints. This paper proposes a new approach to solve the resource-constrained project scheduling problem by combining DM technology and the genetic algorithm (GA). More specifically, the GA is used to generate various optimal project scheduling schemes, after that C4.5 decision tree (DT) is adopted to obtain valuable knowledge from these schemes for further predicting and solving new scheduling problems.

In this study, the authors use GA and DM technology to analyze and extract knowledge from a large number of scheduling schemes, and determine the scheduling rule set to minimize the completion time. In order to verify the application effect of the proposed DT classification model, the J30, J60 and J120 datasets in PSPLIB are used to test the validity of the scheduling rules. The results show that DT can readily duplicate the excellent performance of GA for scheduling problems of different scales. In addition, the DT prediction model developed in this study is applied to a high-rise residential project consisting of 117 activities. The results show that compared with the completion time obtained by GA, the DT model can realize rapid adjustment of project scheduling problem to deal with the dynamic environment interference. In a word, the data-based approach is feasible, practical and effective. It not only captures the knowledge contained in the known optimal scheduling schemes, but also helps to provide a flexible scheduling decision-making approach for project implementation.

This paper proposes a novel knowledge-based project scheduling approach. In previous studies, intelligent optimization algorithm is often used to solve the project scheduling problem. However, although these intelligent optimization algorithms can generate a set of effective solutions for problem instances, they are unable to explain the process of decision-making, nor can they identify the characteristics of good scheduling decisions generated by the optimization process. Moreover, their calculation is slow and complex, which is not suitable for planning and scheduling complex projects. In this study, the set of effective solutions of problem instances is taken as the training dataset of DM algorithm, and the extracted scheduling rules can provide the prediction and solution of new scheduling problems. The proposed method focuses on identifying the key parameters of a specific dynamic scheduling environment, which can not only reproduces the scheduling performance of the original algorithm well, but also has the ability to make decisions quickly under the dynamic interference construction scenario. It is helpful for project managers to implement quick decisions in response to construction emergencies, which is of great practical significance for improving the flexibility and efficiency of construction projects.

In this chapter, I will first conceptualize social movement theory before examining the importance of student movements and student activism. I then will link social movement theory to the university in Egypt. Next, I will contextualize university activism by describing the authoritarian structures of Egypt’s university system. Then, using secondary data sources, I will characterize university activism during the three transitional political periods (under the Supreme Council of the Armed Forces (SACF), under President Morsi, and after the ousting of Morsi), and conclude with a discussion on the implications of student activism on future university reform.

Sustainable development is the management and conservation of the basic natural resources through which organizational and technological changes are lead to meet present and future needs of humans. In developing and analyzing the solutions based on sustainable development principles, an integrated and holistic approach needs to be pursued. Not only system dynamics has the essential tools for systemic analysis, but also it is an appropriate approach for perceiving problems and offering solutions. The aim of this study is to present an integrated and systemic model to analyze the existent dynamics in sustainable development of Iran’s farming industry.

To achieve the mathematical equations and values of model’s variables, a simulation is carried out using the data gathered from Damavand city, Tehran, Iran. The parameters of the model are selected and calculated considering the specifications of this case study. After modeling the system, Vensim simulation software has been employed, followed by identifying the leverage points of the model; then, a set of scenarios have been generated and tested through simulation to achieve a much improved understanding of the system’s dynamic behavior.

The results show that two factors are among the most important leverage points: “profit gained from agriculture” and “required water”. The authors could also observe that the main issue in Damavand is the lack of water for which saving policies would be a major step toward agriculture’s sustainable development in this area.

The paper shows how System Dynamics simulation approach can provide deep insights into the field of sustainable development and present efficient policies for agriculture sustainability.

Responding to the need for exploration of psychological predictors influencing innovation, this study aims to examine the impact of psychological ownership (PO) in employee innovation behavior (EIB) with a focus on psychological empowerment (PE) and employee resilience (ER) as mediators.

Data was collected from full-time employees working in travel agencies and five-star hotels in Egypt. A Partial Least Squares Structural Equation Modeling analysis was performed on 409 valid responses.

The findings of this study revealed PO has a positive effect on EIB. Such relationship is partially mediated by PE and ER.

Theoretically, this study offers valuable insights into the underlying mechanisms that elucidate how PO influences employees' innovation behavior and resilience, while aligning with the principles of self-determination theory.

The purpose of this paper is to obtain a more accurate fatigue life of structures by introducing the surface roughness into fatigue life prediction model.

Based on the fatigue life prediction model with surface roughness correction, the shock absorber cylinder is taken as an example to verify the feasibility of the improved method. Based on the load of the shock absorber cylinder during driving, fatigue experiments are performed under longitudinal and lateral forces, respectively. Then, the fatigue life predicted by the modified model is compared with that predicted by the traditional model.

By comparing with the test results, considering the influence of mean stress, the Manson method is more accurate in life prediction. Then, the modified Manson-Coffin and Manson method with surface roughness is more accurate in life prediction under longitudinal force and lateral forces, respectively. This verifies the feasibility of the improved method with the surface roughness.

The research on the influence of surface roughness on fatigue life can lay the technical foundation for the life prediction of products and have great significance to the quality evaluation of products.