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Management Information System Assignment: MIS Issues in IHH Healthcare Berhad


Task: You are required to write a report on management information system assignment with regards to issues pertaining to MIS in an organisation of your choice. The project report will be written based on an organisation that you have selected


1 Introductionto the theme of Management Information System Assignment
The IT analysis (additionally, named to as system evaluation) program expert for helping referred to as an organization, system or software expert as well as is accountable for helping present systems and evaluating, ensuring suggestions, and applying technology-based data solutions (Davis and Yen, 2019). A MIS offers data from the raw information and helps IT professionals to underline policies to apply as a company. Management information system analysis offer timely as well as relevant data required about the performance of the operations that are of specific significance for managers in every of the management levels in a business. Information managers in this regard could take quality decisions. It is the initial stage in preparing of a MIS. This level involves the preliminary review and research of proposed data system solution to the consumers’ problems. As the development of management information system is known to be a time consuming as well as expensive effort, feasibility reviews have to be conducted effectively.

2 Types of Analysis
Comparative analysis and study are a wider area and the previous studies has applied comparative analysis effectively in MIS fields. This is not connected with the theories, which drive the extensive interest in comparative analysis, or with what concepts could significantly be applied in comparative analysis. What separates comparative analysis from simple border-transgressing types of analysis is that comparative analysis on IT and any other areas carefully underline the boundaries of their cases. Syedet al.,(2019) have identified that two basic assumptions related with the analysis and design of MIS. The first one is connected with the company roles of information systems and the next one if related to the concepts of data needs. In the case of initial assumption in comparative study, this identifies 3 alternatives: a technological view, a social and sociotechnical concept. In context of next comparative assumption, again 3 alternatives have been analysed: an aim view, an intersubjective and subjective view.

Content analysis is a study technique applied for underlying the existence of specific themes or concepts in a specific area. Previous researchers had quantified as well as evaluate the attendance, meanings and associations of such concepts even in the information system study. Content analysis combined itself in a standard tool of empirical social study (Vaismoradi and Snelgrove, 2019). In the previous studies, content analysis was used in case of developing systematic process of evaluating separate information.

On the other hand, thematic analysis as studied by Sundleret al.(2019), is a commonly applied analysis process in qualitative study. A thematic analysis helps to underline patterns of themes in the interview information. A deductive research can be conducting the interviews in IHH Healthcare Berhadfor finding out how technicians apply a particular technology for controlling security-critical situations. Thematic analysis has six steps to be implemented effectively in any research. The first two steps are collecting data and familiarizing the data codes for describing content. The next step is searching for themes and reviewing themes. The last stages are analysing themes and preparing the report.

3 Technique of Analysis
There are three widely used techniques of analysis in research, which are regression analysis, multiple equation methods and grouping analysis method.

Regression analysis method
This type of analysis expects that dependent variables identified in a study or result, is directly impacted by one or more than one independent variables in a study. It inclines to be applied to review the strength of the associationamongstissues and for representing the impendingrelationamong them. Regression investigation includes a few variabilities, for instance, straight, different direct, and nonlinear (Kimet al., 2017). From the previous researches; it has been identified that most general models applied in studies are multiple linear and simple linear. The nonlinear regression evaluation is generally applied for more critical information sets in which the independent and dependent variables outline a non-linear connection.

Among regression analysis; the OLS type has been applied for underlying the connection between more independent variables and a dependent variable. On the other hand, logistic regression has been applied during the dependent variable is dichotomous, or has only 2 important results (Wanget al., 2020). The hierarchical regression analysis has been applied when information is cuddled. This type o information happens when different individuals belong to the same cluster under research.

Grouping analysis method
This type of analysis method is considered as tools for categorizing observations into significant kinds. One grouping technique, discriminant evaluation, recognizes features, which differentiate between groups. For instance, a researcher can apply this type of analysis for determining that characteristics underline independent variables, which seek direct relation with dependent variable and which are not (Hohwaldet al., 2017).

Multiple equation analysis process
This type of analysis process has been identified as an extension of regression, has been applied for researching the casual ways from independent variables to the dependent variable identified (Rahi, 2017). There are 2 core kinds of multiple equation analysis process; path evaluation and structural equation modelling.

In this research on the management information system issues in IHH Healthcare Berhad regression analysis will be applied. This analysis technique will be applied through identifying independent variables on MIS issues and how they are impacting on the dependent variables.

4 Synthesizing Data
The data synthesizing is a process, which uses statistical tools for combining outcomes from various researches as well as collecting a quantitative calculation of the overall impact of a specific intervention or variable on an identified result (Reinkinget al., 2020). Deliberate audits of antagonistic impacts frequently incorporate proof from an assortment of sources including RCTs, observational examinations, case reports and case arrangement. There are troubles in integrating unique informational indexes and contrasts between examines must be considered as a wellspring of heterogeneity (regardless of whether story or quantitative). According to Fogarty and Lin (2019), in observational researches the level of data exposure is not as specific as in RCTs. For instance, in cohort researches various participants may have received an incomplete course of treatment that might lead to underestimation of the actual level of adverse impacts.

Whether quantitative or narrative data synthesis is applied, different studies must try to identify any patterns underlined around the outcomes as well as analyse the possible factors, which may explain variations in the research findings (that is level and severity of management information system issues on business operations) (Campbellet al., 2020). Endeavours should be made to investigate potential connections between qualities of included examinations and their revealed discoveries and furthermore between the discoveries of various examinations. Scientists ought to unmistakably show the populaces tended to by the included investigations and cautiously evaluate the pertinence to different populaces. There is little direction about when and how to perform meta-investigation of antagonistic impacts information. This is significant, yet not in every case simple to decide when and what information from numerous examinations should be joined.

In this research on IHH Healthcare Berhad, the quantitative synthesis or the meta-evaluation technique will be applied. This type of data synthesis is frequently important for the management information system studies for offering scientifically rigorous results and data. This type of synthesis method will be conducted in a clear as well as consistent process with methodologies reported effectively.

5 Illustration
Illustration in any types of research is helpful in guiding how to conduct the entire research along with the activities done throughout the study by the researcher. For example, tables and graphs have been often used in qualitative and quantitative studies. These graphs and tables are often related to the research methodologies and conceptual framework (Araújo and Riechelmann, 2018). This gives the idea of how the chapters and activities in a specific study should be divided and what are the core areas that the entire research needs to concentrate more. On the other hand, physical interview and email interview have been also used in management information system studies previously. These types of data illustration are helpful in projecting how the quantitative and qualitative data collection process has been done by the researcher and what are the results of the data collection process (Palinkaset al., 2015). This current research on IHH Healthcare Berhadwill use tables and graphs in analysis the data collected from the email interview process of the selected respondents.

6 Conclusion
From the above discussion on the previous analysis done are of MIS; it has been identified that the MIS is an outlineencompassing of persons, machineries, methods, information bases and datareplicas, as its parts. The model assembles data from the inside and outside sources of an organization. Information would be information that is prepared and is introduced in a structure that helps decision-making process. This discussion has pointed out that this may minimize uncertainty or influence managers for initiating actions. Different types of data analysis and data synthesis have been applied by different researchers while evaluating importance and operations of MIS in different organisational contexts. This study has also underlined that regression analysis and quantitative synthesis analysis are the most widely accepted and applied analysis techniques in this field. Information generally yield the structure of pastarchives. In distinction to data, raw information might not be capable to shockpeople, might not be prearranged and might not augmentwhatever to the information.It represents the automation of the important, repetitiveprocedureapplied to provisioncorporateprocesses.

7 Reference:
Araújo, R.L. and Riechelmann, R.P., 2018. Interpretation of Results from Tables, Graphs, and Regressions in Cancer Research. In Methods and Biostatistics in Oncology (pp. 71-92). Springer, Cham.

Campbell, M., McKenzie, J.E., Sowden, A., Katikireddi, S.V., Brennan, S.E., Ellis, S., Hartmann-Boyce, J., Ryan, R., Shepperd, S., Thomas, J. and Welch, V., 2020. Synthesis without meta-analysis (SWiM) in systematic reviews: reporting guideline. bmj, 368. Davis, W.S. and Yen, D.C. eds., 2019. The information system consultant's handbook: Systems analysis and design. CRC press.

Fogarty, D. and Lin, J., CIGNA INTELLECTUAL PROPERTY Inc, 2019. System and method for synthesizing data. U.S. Patent 10,423,890.

Hohwald, H., Lester, K.S., Lev-Tov, M. and Li, X., Shutterstock Inc, 2017. Data file grouping analysis. U.S. Patent Application 15/090,001.

Kim, C.S., Choi, S.J. and Kwahk, K.Y., 2017. Investigation of research trends in information systems domain using topic modeling and time series regression analysis. Journal of Digital Contents Society, 18(6), pp.1143-1150.

Palinkas, L.A., Horwitz, S.M., Green, C.A., Wisdom, J.P., Duan, N. and Hoagwood, K., 2015. Purposeful sampling for qualitative data collection and analysis in mixed method implementation research. Administration and policy in mental health and mental health services research, 42(5), pp.533-544.

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.

Reinking, J., Arnold, V. and Sutton, S.G., 2020. Synthesizing enterprise data to strategically align performance: The intentionality of strategy surrogation. International Journal of Accounting Information Systems, 36, p.100444.

Sundler, A.J., Lindberg, E., Nilsson, C. and Palmér, L., 2019. Qualitative thematic analysis based on descriptive phenomenology. Nursing open, 6(3), pp.733-739. Syed, T.A., Alzahrani, A., Jan, S., Siddiqui, M.S., Nadeem, A. and Alghamdi, T., 2019. A comparative analysis of blockchain architecture and its applications: Problems and recommendations. IEEE Access, 7, pp.176838-176869.

Vaismoradi, M. and Snelgrove, S., 2019, September. Theme in qualitative content analysis and thematic analysis. In Forum Qualitative Sozialforschung/Forum: Qualitative Social Research (Vol. 20, No. 3).

Wang, D., Chen, X. and Wei, H., 2020, September. Health Management Information System Based On Regression Analysis. In IOP Conference Series: Materials Science and Engineering (Vol. 914, No. 1, p. 012039). IOP Publishing.


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