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Remote Assistance Servers

Introduction

The issue and use of remote access tool commonly referred to as RAT. It is something that needs one to evaluate critically in order to understand how it works. The technological advancements in software engineering have many setbacks and application of the physical access system to control systems. The introduction of the smartphone in the market has done a lot to boost the use of remote servers in the market. However, the problem sets in when people do not know how to use the remote servers and how they operate in general. This is a rampant problem that arises in many sectors as people do not fully understand how best to apply the technological advancements and utilize it and provide them with the best services. In this proposal, we seek to identify the different types of remote servers and smartphone, how they work and how it is better to perform their tasks effectively. There are other issues like the security issues associated with remote servers and smartphones that people do not know how to avoid and, hence may end up having problems with the servers. This project seeks to help in identifying the different types of remote servers and smartphones and their use in different areas.

Statement of the Problem

There are many issues surrounding the use of remote assistance, smartphone and their application by different users. There is a need to understand how the remote assistant servers work and how a user can utilize it to ensure that they have maximum control over their systems. The other problem the project focuses on is the different advantages and disadvantages of two remote assistance servers to help a user choose the best remote assistance for their organization. Therefore, it is important to identify the different uses of the remote assistant servers, smartphones and choose a remote assistance that will suit one's needs and help make their work easier as they try to integrate and operate the other devices from a central device.

Purpose of the Project

  1. the purpose of this project is to investigate different types of remote assistance software's and describe their characteristics;
  2. to provide a brief discussion on remote assistance software's works;
  3. to provide an in-depth understanding of how remote assistance software works;
  4. to generate a discussion on the step-by-step guide to remote assistance;
  5. to describe two different types of remote assistance software's and to compare the advantages and disadvantages of each of them.

Research Methodology

The purpose of this methodology chapter is to describe the salient quantitative processes involved in the study. These salient processes include identification of the study sample, sampling, data collection, and data analysis. This is a description of the process of collecting information from different sources and using it to complete the proposal. The research methodology involves identification of the study sample, sampling, data collection, and data analysis (Fink, 2005). One conducts the descriptive research which investigates the different uses and how remote assistant servers work. Furthermore, the aim of this research is to identify and obtain different types of remote server, demonstrate their advantages and disadvantages. The data from this form of research will be both quantitative and qualitative. It means that statistical methods will be used for summarizing the information. The study will also include the explanatory research where the researcher will have to analyze the data and cover the different uses of remote servers and their application in an effort to understand how it works. This research will help investigate the phenomena by identifying and explaining what drives an organization to choose one remote assistant server over the other. The study will employ the different ways with which the remote assistant works and how it helps shape the operation of systems form a remote location using a research design. The researcher chose this study design since one makes the inferences from the relations among variables, without the direct intervention in the connected variation of independent and dependent variables. In this research, one investigates the variables without alteration or any manipulation. What is more, one uses the descriptive methodologies.

Sampling Population and Sampling Procedures

Sampling population and sampling procedures define a sample design as a certain plan for providing a person with an example of a sampling frame. It refers to the procedure or technique that would adopt in the research for selecting some sampling unit from which the inferences about the population are drawn. The population samples in the research on the different remote assistance and how they work will be carried out in two organizations using two different remote assistants and smartphone. The sampling process will be random to make sure that the information collected is not biased. The sampling procedure will involve the use of purposive sampling technique in which the researcher will choose the respondents from two organizations. Sampling design will be determined before data is collected. Questionnaires will be distributed randomly amongst the sampled population of respondents and their responses collected after the questionnaires are submitted. The interviewed people consist of about a third of the workers in both organizations that have the internal view of the software used in organizations. Stratified sampling will also be used to put the population into different categories or groups. The population will be based on the argument that 30% is a substantial population for a survey study.

Data Collection

Data collection in this research will be done both qualitatively and quantitatively to provide a wide range of data that can provide in-depth information regarding the study. Quantitative research method will provide numbers and statistics while the qualitative method provides words and texts all of which are useful in analyzing the situation. Using qualitative method of research will provide data that can enable the researcher to take an objective position, which is real and hard regarding the research, especially when it comes to identifying how the remote assistance work and their considerable advantages and disadvantages. The qualitative approach will be more personal and the researcher will have to utilize the observation methods when collecting the data. This provides detailed information on the attitudes, feelings and preference in the best remote assistance server in the market. The combined data will provide the primary information that is used in the analysis of the research. The primary data collection methods will supply a large data set collected by this method. The participants of this study will be selected by using a simple random sampling technique, which is a form of probability sampling where each participant has an equal chance of being selected for the study. By taking a random sample, generalizations may be made about a large population.

Development of Research Instrument

In developing the questionnaire items, the closed and open-ended formats of the item will be applied. The format will be used in all categories of the questionnaires. The asked questions offer the respondents the chance to express their feeling. What is more, the researcher is given an opportunity to ask for clarification when he/she does not understand the question well. Therefore, the researcher gets the chance to arouse the deep feelings of the respondents by asking the right questions to qualify his or her answer. The open-ended questions also give more information that the researcher had not forethought while constructing the questionnaire (Hamel, Ste%u0301phane, & Dominic, 1993). Such questions are open to any form of respondent's answers. This is important for getting the appropriate responses because of the fixed choice item, which involves "putting words" in the respondents' mouth, especially when providing the acceptable answers, increases the temptation to avoid serious thinking by the respondent. A person who answers the question will end up choosing the easiest alternative and will provide fewer opportunities for self-expression. The reason is that it deemed necessary to combine this format of items with the open-ended response items. The researcher should be precise about his/her questions and make them short. One must be sure that the questions are relevant this will make the analysis easy and simple.

Validity and Reliability of the Instrument

The instrument will be rated in terms of how effectively it samples the significant aspects of the study purpose. The content validity of the instrument will be determined in two ways. Firstly, the researcher will discuss the items in the instrument with the colleagues, supervisors, and other lecturers in the department. The given advice will help the researcher establish the validity of the research instruments. The advice included suggestions, clarifications, and other inputs (Filstead, 1970). These suggestions will be used for making necessary changes. Secondly, content validity of the instrument will be determined through piloting, where the responses of the subjects will be checked against the research objectives. The questionnaires will be administered to respondents in the organizations twice within and interval of two weeks. In order to test the reliability of the instrument used in the study, the test-retest method will be used. This will determine the extent to which the questionnaire elicits the same answers every time it is administered (Saunders, Lewis, & Thornhill, 2009). The results will be calculated for its consistency. Pearson's product-moments correlation will also be used to determine the coefficient stability of the data collection instrument. Pearson's product-moment coefficient of correlation is one of the best-known measures of association. The reliability coefficient will be calculated and a score of 0.5 will be considered high enough for the instrument to be applied in the study. This will also give a reason as to why content will be used. For a research instrument to be considered valid, the content selected and included in the questionnaire must be relevant to the variable being investigated.

Data Processing and Analytical Methods

The researcher will process the data collected from the study. The first step is to review the data collected from the field to determine whether there are any mistakes during the process of collection. For example, there could be the repetition of answers or questions could be not properly answered. After completing the study, the researcher will analyze the data collected from the questionnaires using the Statistical Package for Social Sciences (SPSS) version 18.0.0 which will assist him/her in analyzing the data collected (Easterby, Thorpe, & Jackson, 2008). The researcher will define the variables and enter data in form of cases who, in this case, are employees in the IT department in the two organizations selected to fill the questionnaires. The variables will be the responses of the employees from the questionnaire. Each employee is assigned to a particular case that is his or her response. After entering the data into the (SPSS) version 18.0.0, the entered cases are defined by variables and the researcher can run the analysis easily. Running the analysis involves selecting the variables from the menu and clicking the "OK" button. The SPSS reads the cases and analyses the data and later on provides the required output. After finishing the analysis, the SPSS provides a distribution curve that summarizes the research data. The summary statistics will reveal an overall conclusion on the research and this mainly derives from the quantitative data that determines whether the hypothesis is true or false. The tests that will be used include descriptive statistics and chi-square test on the nominal survey variables. Descriptive statistics include frequency distributions and summary statistics. The frequencies and percentage from the calculation will reflect on the preference of the respondents to the elements of the survey instruments. Frequencies and percentages will be calculated for each nominal or ordinal level variable on the survey instrument. Such method will provide information regarding the number and percentage of participants who will select a particular response of the survey instrument (Fisher, 2004). In other words, standard deviations and median values will be calculated for the ordinal Likert-type scale questions included on the survey instrument. High mean and median values will provide evidence that the participants had increased preferences with the specified variables, whereas a lower mean or median will indicate the opposite.