EPM5700: Research Proposal on Quality Management in IT Projects

This research proposal examines quality management within the IT project management industry. The study investigates the impact of documentation on quality management, the role of information technology in understanding client needs, and the evaluation of existing software solutions. It explores the research questions around how available software supports project processes, understands quality necessities, and promotes commitment to quality. The methodology involves secondary data analysis of prior reviewed articles, using qualitative data to interpret, analyze, and evaluate evidence from various sources such as journal articles and academic books. The project is planned over two months, involving determining research questions, locating and evaluating data, assessing data credibility, and analyzing outcomes through statistical processes. The proposal aims to understand and improve quality management practices in IT project management, leading to more effective project outcomes. The research also considers the importance of user engagement, internal environment, and the seamless integration of information systems for maximum efficiency and effectiveness in IT projects.

Running head: RESEARCH PROPOSAL ON QUALITY MANAGEMENT
Research proposal on Quality Management
Name of the student:
Name of the university:
Author Note

1RESEARCH PROPOSAL ON QUALITY MANAGEMENT
Title: Research proposal on Quality Management at IT Project Management
industry
1. Background and rationale:
1.1. Background and issues:
Current organizations have been creating much documentations. They have been performing
that to the extent that the documents begin the hindering of activities of the quality management
system. Further, the various business has been needing the documentation for involving many
details. Here, much resources and time are considered, resulting in a much more complicated
implementation of documentation. As the quality management system turns to be inflexible and
rigid, this is complicated to develop as needed. Thus, it has not been guaranteeing the most effective
outcomes for the future.
1.2. Determination of discipline:
For understanding the scenario of quality management, the field of information technology is
chosen. The information technology quality management is the method to understand how the clients
have been making and feeling the services and software products that they require. Thus it leads to
retrieving necessary values (Grudzień and Hamrol 2016).
1.3. Key developments in the area:
Every software projects have been maximising the engagement of users, in terms of system
design and requirement specifications. Further, the leaders have been maintaining and developing
the internal scenario where the individuals can be totally involved. This is to gain the objectives of
the business (Marinagi, Trivellas and Reklitis 2015).

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1.4. Research questions:
In this project, various effective software regarding quality management is needed to be
evaluated. This is particularly for the information technology sector. For this, various research
questions are identified.
 How the available software does has been supporting the project processes for quality
management in IT?
 In what way doe the software been helpful to understand the necessities for the quality?
 How is the software helpful towards commitment towards quality?
2. Research methodology to be used:
Here, various prior reviewed articles are to be analysed. For this secondary data analysis
would be done. The type of data will be qualitative. For the project, mass published materials are to
be used (Johnston 2017). This is helpful to interpret, analyse and evaluate the evidence. The sources
involve a broad range of forms. They involve various journal articles and academic books.
3. Plan of work and time schedule:
For the present study, the overall time taken will be 2 months. At first, the research questions
are to be determined. This includes the understanding of exactly what the researcher is looking for.
Next, the data is to be located in understanding what has been out there. This involves whether one
can gain access to that. Here, a quick search over the Internet with the help of a librarian must reveal
various options. The importance of the data is to be evaluated (Swart et al. 2015). Here, various
things are to be considered such as the main purpose of the data, time of its collection, sampling
strategy, population, protocols o data collection, questions asked, and operationalization of the
concepts and shape of data. Then the credibility of the data is to be assessed. Here, credentials are to

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be implemented for the main researchers. At last, the outcomes are to be analyzed through a various
broad range of statistical processes.

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4. References:
Grudzień, Ł. and Hamrol, A., 2016. Information quality in design process documentation of quality
management systems. International Journal of Information Management, 36(4), pp.599-606.
Johnston, M.P., 2017. Secondary data analysis: A method of which the time has come. Qualitative
and quantitative methods in libraries, 3(3), pp.619-626.
Marinagi, C., Trivellas, P. and Reklitis, P., 2015. Information quality and supply chain performance:
The mediating role of information sharing. Procedia-Social and Behavioral Sciences, 175, pp.473-
479.
Swart, E., Gothe, H., Geyer, S., Jaunzeme, J., Maier, B., Grobe, T.G. and Ihle, P., 2015. Good
practice of secondary data analysis (GPS): guidelines and recommendations. Gesundheitswesen
(Bundesverband der Arzte des Offentlichen Gesundheitsdienstes (Germany)), 77(2), pp.120-126.