Data Management Assignment Sample
IDENTIFICATION AND UTILITIES OF THE INFORMATION SYSTEM IN THE REALM OF NETWORK, COMMUNICATION AND DATA MANAGEMENT
Chapter 1: Introduction
1.1 Introduction
Information system is a set of systems integrated together for storing, processing and retrieving data and for giving information, relevant knowledge and digital products. Business firms across the world depend on information systems to conduct and manage business operations, and communicate with potential customers and suppliers which allows them to effectively compete in the market. Companies use information systems for data management which helps to steer business growth. Internet infrastructure supports connectivity and provides faster data delivery. It improves computing performance and software applications are integrated with the network thereby enabling users to easily get access to them.
1.2 Research background
Computer networks can be defined by the protocols it applies for the purpose of communication, the ways it controls traffic and physical arrangement of components. There are different utilities of information systems in the area of network, communication and management of data. Companies get highly benefited by integrating information systems with their business operations (Hämäläinen and Inkinen, 2019). Several firms are developed completely around information systems. Governments use information systems to effectively provide services in a cost-effective manner to citizens. With time, the pervasiveness of the network will increase and it will become more integrated thereby helping people to make effective use of it.
1.3 Research aim and objectives
Aim
The study aims to identify the usage of information systems in the domain of network, communication and management of data.
Objectives
- To investigate the concept of information systems in different areas
- To evaluate the importance of information systems in the areas of network, communication and management of data
- To analyse the use of networking in management information system
- To recommend strategies for improving data management and communication in network system
1.4 Research rationale
The issue is that ineffective or lack of proper information systems results in improper communication. It is not possible to manage data or the networking systems effectively without appropriate information systems. It is an issue because it makes firms, governments, education sectors and other users go through various kinds of problems such as communication gaps, management issues and so on. Now, it is an issue because every sector is facing immense pressure in terms of competition and is trying hard to sustain its existence in the market which is not possible in case of a lack of effective information systems (Birkel et al. 2019). Hence, the application information systems will be analysed to assess their importance.
1.5 Research Significance
This research is primarily focused on information systems within the network and the way it influences communication and data management. In addition, it helps to identify the requirement of information technology to manage the overall data and network system in an effective manner. The study will also evaluate the effectiveness of using information technology within an organisation to revamp the overall operation of a business successfully by managing the communication and management system of the company. The chosen topic will help future research scholars to gain enough knowledge regarding the information system and its diverse utilities in different areas.
Chapter 2: Literature Review
2.1 Concepts of information system
User interface (UI) is the most important component of information systems. Chang et al. (2020) opined that users can perform their tasks with complete efficacy with the help of user-friendly UI. Some basic principles are associated with the UI design of the information system. User control, proper design of the interface, information feedback, fast system response, tolerance of fault and security and modification of interface are some of the basic principles for the designing of user interface of information systems. Tam et al. (2019) argued that users can become highly engaged with applications due to the existence of convenient interfaces. Quality of UI can be related to the input and output of computer, the user’s operation including information system’s overall performance. Hence, the user interface should be designed efficiently to provide users with the maximum satisfaction of using information systems.
2.2 Application of information systems in business firms
Information systems (IS) have the capability to transform business processes in a positive manner thereby leading the firms towards achieving success and gaining competitive advantages in the market where they operate. Eroshkin et al. (2017) stated that information systems support business operation systems which include transaction processing, process control systems, collaboration systems of enterprise, different management support systems and so on. Moreover, an effective information system helps in the appropriate decision-making and possesses the capability of controlling the entire organisation. IS combines people, different hardware and software, networks of communication, and data resources. Information systems are applications of different information technologies on which the business professionals depend for accomplishing organisational goals. As per the opinion of Abubakar et al. (2019), effective decision-making is responsible for the success of any business and IS helps in doing so thereby making the process easier for managers and other employees. IS facilitates communication through which any uncertainties of companies can be effectively dealt with.
2.3 Importance of information systems in network and data management
Data management is an essential task, particularly in the context of business management. Business forms contain lots of valuable and sensitive data and companies can face major economic loss in case of data breach. Hence, it is the responsibility of IT professionals and company managers to consider the issue of data management seriously which can be done by making proper use of information systems. According to Chaudhary et al. (2017), data management protects data from breaches and provides protection with authentication along with encryption tools. Strong data security helps in backing up information and can be retrievable in case of the unavailability of primary data. Stair and Reynolds (2020) commented that a sophisticated and advanced information system stores information within the database which makes the finding process of data easy and simple. Various applications are developed through IS which provide proper support to managers with adequate data which helps in formulating and implementing decisions. This helps in enhancing managerial effectiveness. Network supports IS and various applications and the appropriate network helps in exchanging information between two devices.
2.4 Challenges of the security aspects of information system
There are different benefits of the application of information systems in the domains of network, communication and data management. However, several challenges are faced in this context as well which threaten the growth of business. As per the opinion of O’Kane et al. (2019), malware infects devices, important files and systems thereby making it impossible for users to further use them. It leads to data breaches in organisations that require proper device management and updated security measures. Some companies before sending data often do not encrypt data which leads to serious cloud threats. This has made it mandatory for users working in different sectors to opt for private clouds that have the potential to secure and encrypt data consistently.
2.5 Theoretical overview
Figure 1: Data Management Maturity Model
(Source: Minh and Thanh, 2022)
“Data Management Maturity Model” (DMMM) focuses on providing guidelines that help companies to develop, improve and measure the data management capabilities of enterprises. This framework is widely used in companies to conduct data management practices. The model improves the process and capabilities of companies and is considered a maturity framework (Minh and Thanh, 2022). This framework helps in managing datasets of firms and their corresponding activities and hence, it is evident that companies are making effective use of information systems in different forms.
2.6 Conceptual Framework
Figure 2: Conceptual framework
(Source: Created by author)
2.7 Literature gap
Various utilities of IS are provided in the literature review section and it also covers different essential aspects related to the concept. However, some limitations are identified in this context which creates a significant gap in this literature. This research failed to provide an adequate number of models and theories related to information system management and demonstrating data management and communication in the information system.
Chapter 3: Research methodology
3.1 Research philosophy
Interpretivism philosophy will be used to conduct this study. This philosophy depends on performing research work by observing the social world (Žukauskas et al. 2018). The exact meaning of the present study will be evaluated with this research philosophy and multiple methods will be applied to analyse the issues of the given topic from various perspectives.
3.2 Research approach
Research approach refers to specific plans and procedures required to conduct particular research work. Deductive research approach will be used to conduct this study. This approach is a combination of scientific investigation (Rahi, 2017). The research findings will be generalised to a significant extent. This approach will be helpful in thinking about the concepts logically thereby making meaningful decisions that will help to reach meaningful findings and conclusions.
3.3 Research design
Research design refers to different methods and systematic techniques that are required to carry out a study. Descriptive research design will be used in this context. The information needed for the present work will be obtained systematically to interpret a situation or a phenomenon (Bradshaw et al. 2017). Moreover, this method is effective in addressing the research objectives. Facts regarding the application of information systems in diverse domains will be analysed which would help in building an in-depth understanding of the given research problem.
3.4 Data collection methods
Secondary qualitative research methods will be used in the present study and for this reason, data will be collected from secondary sources. This includes all firms of textbooks, journal articles, online articles, relevant websites, magazines and other such sources. Journal articles will be taken from databases such as Google Scholar and advanced searching techniques will be used for fast retrieval of relevant articles that best go with the given topic.
3.5 Data analysis
Thematic analysis is effective in conducting the present research successfully and improving the quality of this research. It is the most appropriate method for analysing qualitative data (Kiger and Varpio, 2020). Some relevant codes will be generated from the selected articles which will be used to develop themes based on which analysis will be made. In a nutshell, thematic analysis is a method of interpreting data by selecting codes and constructing themes that address research objectives. Proper analysis of the collected information helps to make the research more relevant and successful for the future learner and researcher.
3.6 Research ethics
Appropriate ethical guidelines will be followed to conduct the overall research successfully. Integrity and confidentiality will be maintained while accumulating authentic information related to this research work to make it more relevant. “Data protection act 2018” will be followed for this research to manage the authenticity of all the information appropriately and ameliorate the quality of this research work in a proper manner. This data protection act provides relevant provisions for protecting personal data (Legislation.gov.uk, 2018). Moreover, proper focus on this content will help to manage the overall quality of the research by managing all the data collection policies appropriately.
References
Abubakar, A.M., Elrehail, H., Alatailat, M.A. and Elçi, A., 2019. Knowledge management, decision-making style and organizational performance. Journal of Innovation & Knowledge, 4(2), pp.104-114.
Birkel, H.S., Veile, J.W., Müller, J.M., Hartmann, E. and Voigt, K.I., 2019. Development of a risk framework for Industry 4.0 in the context of sustainability for established manufacturers. Sustainability, 11(2), p.384.
Chang, C.Y., Hwang, G.J. and Gau, M.L., 2022. Promoting students’ learning achievement and self‐efficacy: A mobile chatbot approach for nursing training. British Journal of Educational Technology, 53(1), pp.171-188.
Chaudhary, R., Kumar, N. and Zeadally, S., 2017. Network service chaining in fog and cloud computing for the 5G environment: Data management and security challenges. IEEE Communications Magazine, 55(11), pp.114-122.
Eroshkin, S.Y., Kameneva, N.A., Kovkov, D. and Sukhorukov, A., 2017. Conceptual system in the modern information management. Procedia Computer Science, 103, pp.609-612.
Hämäläinen, E. and Inkinen, T., 2019. Industrial applications of big data in disruptive innovations supporting environmental reporting. Journal of Industrial Information Integration, 16, p.100105.
Kiger, M.E. and Varpio, L., 2020. Thematic analysis of qualitative data: AMEE Guide No. 131. Medical teacher, 42(8), pp.846-854.
Legislation.gov.uk, 2018. Data Protection Act 2018. Available at: https://www.legislation.gov.uk/ukpga/2018/12/contents/enacted [Accessed on 13.4.2022]
Minh, H.P. and Thanh, H.P.T., 2022. Comprehensive Review of Digital Maturity Model and Proposal for A Continuous Digital Transformation Process with Digital Maturity Model Integration. IJCSNS, 22(1), p.741.
O’Kane, P., Sezer, S. and Carlin, D., 2018. Evolution of ransomware. Iet Networks, 7(5), pp.321-327.
Rahi, S., 2017. Research design and methods: A systematic review of research paradigms, sampling issues and instruments development. International Journal of Economics & Management Sciences, 6(2), pp.1-5.
Stair, R. and Reynolds, G., 2020. Principles of information systems. Cengage Learning.
Tam, J., Lacaille, D., Liu-Ambrose, T., Shaw, C., Xie, H., Backman, C.L., Esdaile, J.M., Miller, K., Petrella, R. and Li, L.C., 2019. Effectiveness of an online self-management tool, OPERAS (an On-demand Program to EmpoweR Active Self-management), for people with rheumatoid arthritis: a research protocol. Trials, 20(1), pp.1-8.
Žukauskas, P., Vveinhardt, J. and Andriukaitienė, R., 2018. Philosophy and paradigm of scientific research. Management culture and corporate social responsibility, 121.
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