INTERNATIONAL CONFERENCE INTERDISCIPLINARY STUDIES IN MANAGEMENT AND ENGINEERING | Year:2022 | دوره:5 |Papers Count:8

Due to the increasing use of cloud computing in organizations as well as in everyday life, in this article we have tried to provide a comprehensive review of the research literature and update the threats and challenges. The amount of research conducted on the above topics is from the years 2017 to 2022. In this review, we aim to determine the most discussed topics along with relevant theories, as well as the factors that influence small and medium enterprises' adoption of cloud computing. This paper provides an investigation of 27 conference papers, articles, review papers, and books from popular publications like Springer, Elsevier, IEEE, EDP Sciences, and Journals. The synthesized outcome of the literature identifies benefits, responsibilities, threats, classification of cloud security issues and factors influencing the decision and adoption of cloud computing in Small and Medium Enterprises that can help researchers better understand the elements of cloud computing and in line with new research and discovery of factors take a new step. Findings in this study indicate that influential factors such as "cost" and "flexibility" can be applied to multiple benefits of cloud computing, both tangible and intangible. To facilitate the business aspect of cloud computing, researchers can address gaps in policy, risks, and service models. SME1s' cloud computing adoption can be guided by the insights found in this study into cloud computing services explored, and other key research issues concerning cloud computing adoption in SMEs that will guide future research.

Determining the optimal portfolio or portfolio is an important issue for investors in domestic and international financial markets. Therefore, capital management in a portfolio can be considered as a dynamic optimal control problem and acceptable trading performance can be achieved by using methods of forecasting and optimizing stock prices in the future. In this study, we will review the research and resources presented in recent years in the field of statistical and estimation methods such as Kalman filter-geometric Brownian motion to predict the future of stock prices and also predictive control to solve the problem of portfolio optimization. take stock. First, an introduction to the subject is given. Then, the basic concepts and definitions needed to better understand the reviewed sources are presented. In the following, articles and other sources used in this research are given. At the end, a summary of the studies is presented.

Unification and system integration in all the IoT applications is of great importance nowadays. Smart university as well as the smart city, requires an integrated infrastructure and unified management. Although smart university is frequently used as an advanced concept in many literatures, there is still no unique comprehensive definition to cover all aspects of this application regarding services, and strategy simultaneously. This paper outlines a comprehensive and practical overview of a smart university definition by analyzing recent studies based on four viewpoints of services and system, process, data cycle, and strategy. First of all, with classifying different university general services based on their activity fields, a list of practical, smart, and high-level services is presented which can be used in a smart university. Then, integration and consolidation of classified groups to unify the primary services and smart services is investigated.

Rapid fluctuations in the Caspian Sea's water level play an important role in determining the extent of erosion hazards, adverse environmental consequences, degradation and drying of coastal areas, wetlands and coastal bays, and the loss of economic resources and the destruction of maritime industries. The purpose of this study is to investigate the atmospheric factors affecting the water level of the Caspian Sea. In this study, using ECMWF data from 1992 to 2021, which includes the amount of precipitation on the Caspian Sea, the rate of evaporation from it and the average temperature of the Caspian Sea, the factors affecting water level fluctuations in the Caspian Sea were investigated. Reliable library sources were used to determine the inflow of rivers into the Caspian Sea. Caspian Sea fluctuation data were received from the Ports Authority. The results showed that the amount of precipitation on the Caspian Sea has a decreasing trend and on the other hand the rate of evaporation from the Caspian Sea has an increasing trend. The main reason for the increasing trend of evaporation from the Caspian Sea is the rising trend of sea surface temperature, which shows an increase of about 1. 1 ° C over 30 years. The water flow of the Volga River shows a decreasing trend due to the decreasing trend of precipitation. As a general result, climate change is reducing precipitation, increasing temperature and increasing evaporation, and ultimately lowering the surface of the Caspian Sea, a trend that will continue for years to come.

Multiprotocol Label Switching is the protocol framework on which the attention of network service provider is focused as it provides privacy and unbreakable security to the users. So, it is used by ISP Backbone Network to form the MPLS Tunneling architecture like MPLS VPN which is discussed in this paper. Providers typically offer this type of service to large corporate customers that require IP connectivity of other remote sites. The main advantage is that MPLS is used over Layer 2 and Layer 3 protocols. It also discusses the concept of Traffic Engineering that utilizes Multiprotocol Label Switching and that also proves to be advantageous over IP based Routing. This Paper also discusses various Encryption Techniques which can be used for the security of MPLS Technology.

Providing airport and aviation services requires cooperation and integration between the airport service providers and stakeholders. Airlines, retail providers and other service providers are the examples of aviation industry. The ultimate goal of these services is to accomplish a satisfying passenger/customer experience with both aviation and nonaviation services received at airports. The challenging issue is the variety and breadth of airport services. In addition to, especial airport services, a significant part of the services ar e provided to the passenger interactively and communally with business to business or exclusively Business to Customer. In this article, by focusing on the life cycle of experience and the presence of passengers and citizens in receiving the desired services, the problems of travelers with little experience of air travel (focus on being unfamiliar with services) as well as foreign language passengers (focus on not understanding a foreign general language such as English or the official language of the country of origin or destination) at each stage of service are identified. Then, using Airport Collaboration Decision Making (ACDM), specific methods will be provided in the maximum evolution and improvement of Passenger/Customer Experience Management (PEM/CEM) and eliminating the mentioned problems.

In a risk-taking decision, a particular action may lead to different consequences. Here it is assumed that the probability distribution function is known to occur. In decision-making, we have a decision maker (DMs) on the one hand that has a set of actions or decisions, and on the other hand, we have nature that can create different situations with different possibilities for the DM(s). Risk-solving techniques are as follows. The techniques of this kind of decision-making are divided into two categories of inefficient techniques and interactive techniques. This research focus on interactive techniques.

The purpose of this study was designing a model for predicting organizational citizenship behavior based on job security and organizational commitment and the moderation role of personality Traits. The method of this study is correlation by structural equation modeling. The statistical population of this study was employees of FANAP Company in 2020, 285 people were selected by simple random sampling method. Research data were collected through the Williams and Anderson Organizational Citizenship Behavior Questionnaire (OCB) (1991(. Neisi job security Questionnaire (2000), Allen & Meyer Organizational Commitment Questionnaire (1997), and McKerry & Costa Personality traits (NEO) (1992). Data were analyzed by regression and structural equations by using SPSS software and PLS software. The results showed that the model of predicting organizational citizenship behavior based on job security and organizational commitment and moderation role of personality traits had acceptable fit (GFI = 0. 93). It was also shown that 5 research hypotheses were confirmed and significant. Results showed that Job security, organizational commitment, and personality traits should be considered as important factors in predicting organizational citizenship behavior. Personality traits also play a moderating role in predicting organizational citizenship behavior based on job security and organizational commitment.