LD9718 RESEARCH METHODS AND ANALYTICS FOR BUSINESS PRACTICE ASSIGNMENT SAMPLE 2023
1.Introduction
1.1 Overview of the research topic area
The aim of the topic is to study the impact of Business intelligence implementation in the higher education system in London. The aim is to study the success factors determining the potential users who accept the BI system while suggesting to them the process for improving the BI for successful higher education productivity (Zafary, 2020). The BI is a procedural and technical infrastructure that collects, stores, and analyse the data effectively produced for an organisation’s activities. BI is an innovative driven technology for analysing the information and conveying the collected data to the chiefs, supervisors for making relevant decisions. BI concept was utilised for the first time for analysing and providing data to the managers with inaccurate or incomplete information (Farzaneh et al. 2018). The worse decision-making process due to lack of data retention will be solved with the help of BI by analysing the current data that is presented in the dashboard of quick metrics to design and support effective decisions.
The dashboard is the main component for delivering and showing the business intelligence data to the users. The university will be benefited by using this method for various decision-making solutions. The institutions with BI can undoubtedly improve the efficiency while collecting data to drive the improvements in the administrative process (Corrales-Garay et al. 2019). Another process is the ways the student must be taught for effective outcomes alongside the ways the resources can be managed. The impact of BI in the higher education system in London will be analysed in this research proposal to understand the success of BI. As BI is a very important system to solve the higher education problems in managing resources and delivery output.
1.2 Research Objective
- To understand the concept of BI and the impact of implementing BI in the higher education system.
- To investigate the challenges the higher education system is facing due to BI.
- To examine the factor determining the implementation of BI and provide suggestions and practices to improve BI in the education system.
- To identify the relevance of BI influencing higher education to make decisions.
- To review what success factor does higher education have difficulties in living up to after the implementation of BI.
1.3 Research Question
- What are the challenges higher education is facing due to BI implementation?
- What is the impact of BI on the higher education system?
- What are the factors for determining the BI implementation and providing recommendations for successful BI improvement in higher education?
1.4 Research Scope
| Research Topic
London Higher Education |
2. Literature Review
2.1 Impact of BI in the higher education system
According to Suharti, Handoko & Huruta, (2019), BI is an innovative driven tool for examining the information and collecting the data. Also conveying the significant data to the required users will help the higher education administrative department to make decisions related to the problems. BI is one of the necessary resources that helps the administrative board of the universities to make choices while making necessary changes for implementing various planning in maintaining the resources. The BI helps higher education to run smoothly with each and every interaction of tools while fundamentally decreasing human errors.
Global higher education has become competitive and to eliminate human errors and to improve the resources for delivering effective learning performances, the BI is necessary. The Universities are using BI solutions for eliminating mismanagement and improving the interdisciplinary cooperation between the departments and faculties (Coskun-Setirek & Tanrikulu 2021). The university board is able to analyse, share and discuss making an action plan with the collected data from a single trustworthy source of information. With the use of proper information through BI, the University is able to improve the quality of reporting to the external institutional bodies improving the performances, reducing management costs.
2.2 Challenges of higher education system while applying the BI
As per Malkawi, (2018), the huge data collection from various departments of staff and students can be difficult to manage with the different information systems. The academic system, financial system, HRM Quality assurance automated system is the core daily operation of BI. The academic data changes from time to time and the constant growth of the data is also difficult to measure and forecast. The filtering process with constant growth in the academic data can be very challenging and critical. The financial resources are also a major challenge to update the software and implement the BI in Universities. BI tools and database management system requires a lot of financial resources and the solution to implementing an updated version can be challenging for the board (Alsheibani, Cheung & Messom, 2019). Communication engagement is another issue the university faces due to data recorded from the faculties being different from the university management division. The multiple information communication degrades the quality of the information due to various multiple data resources.
The missing data is another issue the staff faces while implementing BI. As the data recorded in terms of student payment, the student submission dates can be drooped out. This missing data can invalidate the information causing problems in management (Kunz, Heinonen & Lemmink, 2019). This dropout data in the academic system provide difficulty in analysing the university’s current performances where all the updated data is required to calculate the university performances.
2.3 Success factor for implementing BI for effective practices in the Higher education system
The first step is to identify the problem of the education system and implement BI to ease the problem without overlapping and increasing the cost of the BI solution implementation (Akhtar et al. 2019). The next is to use a simple tool to ease the problem of confusion among staff for performing and providing materials to increase learning outcomes. The picking of the right technology is another success factor that needs to be determined carefully as per the requirements. The evaluation of each technology is required for proper BI outcomes. The cost is another concern that must be understood by the administrative board related to the software implementation till execution (Zawacki-Richter et al. 2019). The appropriate balance of cost must be chosen with effective software that needs less execution cost for easy usage by faculties.
2.2 Research Gap
The research gap is the lack of clear investigation on the research topic area. The primary research with Qualitative methodology for collecting the data via interview is not been conducted to understand the topic area before. The success factor and practices, usage of the tools needs a proper investigation to understand the topic. The impact of the BI in the higher education system with challenges and success will help to in-depth analyse the success factor, problems, and recommendation practices for effective outcomes.
3. Research Methodology
3.1 Research Philosophy
This research will be based on qualitative information focusing on the impact of BI implementation on the higher education system. The paradigm will be oriented towards interpretivism to make a more new and extravagant understanding of the social world logically (Pandey & Pandey, 2021). With the help of interpretivism, the response can be clearly analysed to understand the relation.
3.2 Research approach
The research approach for the investigation will use the inductive methodology to evaluate the complex information with the advanced synopsis subjects from the information. It will help to detect the pattern and regularities with some tentative hypotheses that can be explored for developing some points related to the information (Kushibar et al. 2018). Qualitative research requires the inductive approach which is a systematic procedure for analysing the qualitative data where the analysis will be guided especially by a specific evaluation of the objective set.
3.3 Research Strategy
The research strategy will be based on ground theory which is a systematic methodology for qualitative research. It will help to sets out to discover the data and construct the theory systematically and analyse using comparative analysis (Hackett & Strickland, 2018). It is simply used to determine the emerging pattern in the data. The pattern is going to construct the hypothesis by collecting and analysing the data in the research.
3.4 Research Method
The qualitative research method will be used here to gather the non-mathematical information through direct interview sessions via text, video, sound to get the idea about the research area. It will help to utilise and assemble the inside and the out experience of the target audience related to issues and thoughts for research purposes (Bakker, 2018). It will be done on the basis of a first-hand interview recording the information non-numerically.
3.5 Research time horizon
This research will use a cross-sectional method mainly implementing a survey to collect the data with a direct interview round collecting required information from the respondents. The cross-sectional review will include the checking of the information from one explicit point scheduled (Moreno & Swales, 2018). The member in this situation will be chosen as dependent on specific factors of the research area interest.
3.6 Research technique
The techniques will be qualitative semi-structured and in-depth structured interviews conducted to collect the data for the research area. The questions will be related to detailed information on the experience of using the BI in higher educational institutes (Zabala, Sandbrook & Mukherjee, 2018). The influencing factor, the challenges will be clearly identified with the interview session. The positive and negative, practices will be easily identified with these responses.
3.7 Potential contribution to theory and practices
This research will be very helpful for the higher education system and can benefit from applying the BI with a corrective action plan for making decisions. This research will be very useful for an educational institution in three forms. Specialised logical intelligence, issue area knowledge, and relevant knowledge can be identified in an education institution for distinct organisational insight with the help of research (Nayak & Singh, 2021). The running of the education system will be at ease with this research finding for data access, managing the student portfolio, resources effectively. BI is very innovative and with the help of research, the board can answer the problems with making choices rather than looking for data as the higher education has with BI been able to make further development in the evaluation of the results. This research will help to show the significance more effectively of using BI.
3.1 Research ethics
The research has been conducted through the qualitative interview technique for collecting the data and the ethics maintained for the data collection area:
The respondents are not harmed in any way and no offensive, discriminatory or abusive language is used while conducting the interview. The study will follow the protocols of the data protection ethics in accordance with general data protection regulation guidance. The privacy of the respondents and maintenance of the information will be given extreme significance during the collection of data.
4.Conclusion
The higher education system is continuously looking for improvements in performances with new technology implementation for utilising the data effectively for making decisions. This research with the qualitative method will help to find the effectiveness of the BI in the higher education’s systems. Also, identification of various challenges, the BI implementation is causing to the education system for future effective practices. Research so far has involved the semi-structured and in-depth structure interview for analysing the BI effectiveness. Alongside success factors that will help to provide an understanding of the higher education system is important for BI to collect relevant data effectively. With the help of this research Higher education system can track the importance of BI and the process for utilising the BI. The educational program for training the BI process, the effectiveness of the learning can be easily assessed with BI utilisation. The education system can develop the BI process and practices with the help of this research. The research is ethically following the guidelines to minimise the misconduct while collecting data from the respondents. The BI will help the higher education system to enable measure, monitor, and manage the performance of the faculty, students more effectively with the help of various tools and software available in BI.
The qualitative methodology is utilised in this research that will help to develop an understanding of the emotional connection for driving the factor of the respondents that is influencing them to apply the BI. The success rate and the challenges will be easily evaluated with this methodology. The Qualitative methodology is a deeper understanding process of the target audience than quantitative methodology which will help to seek the answer to how and why. Therefore, the research is going to analyse and provide effective data regarding the research area with this methodology.
5. Research timeline
| No. | Dissertation activity | 01 | 02 | 03 | 04 | 05 | 06 | 07 | 08 | 09 | 10 | 11 | 12 |
| 1 | Introduction | ||||||||||||
| 2 | Literature review | ||||||||||||
| 3 | Methodology | ||||||||||||
| 4 | Data collection | ||||||||||||
| 5 | Research finding | ||||||||||||
| 6 | Discussion | ||||||||||||
| 7 | Conclusion and recommendation | ||||||||||||
| 8 | Finalising document for submission |
References
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