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Pages:
16 pages/≈4400 words
Sources:
Check Instructions
Style:
Harvard
Subject:
Business & Marketing
Type:
Research Paper
Language:
English (U.S.)
Document:
MS Word
Date:
Total cost:
$ 93.31
Topic:

Strategic integration of Data Analytics and Artificial Intelligence in project management within Global Financial Institutions

Research Paper Instructions:
Assessment guidelines: Task: You will prepare a report outlining further details of your chosen research that will form the basis of your Dissertation/Applied Business Project. Format: You should use the following structure for your Individual Applied Report - Research Proposal. You should present your applied report/proposal in a single document with an appropriate front page, contents page, headings and a correctly formatted reference list (University of East London Harvard style). The applied report/proposal should include the following: ● Section 1: Research topic, aim and objectives ○ Identify your proposed research topic and offer a clear rationale, along with aim and objectives ■ In this section you should present your research topic and explain the topic area. The section should include appropriate background information and it should explain the rationale for selecting this research topic and what is the potential contribution of the proposed research. Also, the section should clearly present the aim and objectives of the proposed research. ● Section 2: Literature review ○ The literature review should analyse and synthesise relevant academic literature, critically engaging with the field of scholarship. In the literature review, you should discuss how your research topic will fit within existing published work. You should find at least 12-15 sources of literature (mainly academic) connected to your proposed research and analyse them to show how your research will attempt to contribute to existing knowledge. You should aim to compare and contrast the sources and make appropriate links with your proposed research. Keep in mind that you should paraphrase the sources in your own words (and cite and reference the sources appropriately) and you should synthesise the potential contribution of these sources to your research. Your literature review should not be presented as a ‘list’ of articles. ● Section 3: Methodology, methods and ethical considerations ○ Identify and justify a research methodology appropriate to your proposed research ○ Identify and justify research methods and data appropriate to your proposed research ○ Identify key ethical considerations relevant to your proposed research ■ In this section you should discuss your research methodology. You should consider your epistemological approach and how this impacts your research design. Also, you should discuss your data collection methods as well as the types of data that you will collect for your research and the sources of this data. You should be able to justify your choice of methodology and methods by referring to your research aim and objectives. Also, you should comment on the feasibility of your research and your ability to access the required data. Finally, this section should outline the ethical considerations related to your research. ■ You are advised to include a secondary data collection for your proposal, and not primary. This is because for the final module of this programme (Dissertation) you are not allowed to proceed with primary data collection, but only with secondary. ● Section 4: Research schedule/plan ○ Induce a provisional project schedule/plan for your proposed research ■ In this section you should outline the key milestones for the completion of your research project and propose the length of time that each milestone will require to complete. You should try to be as realistic as you can and you should consider things like work schedule and busy periods at work as well as holidays and other breaks. It will be useful to present your schedule/plan on a table listing the milestones, the duration of each milestone as well as a brief note for each milestone that will offer a description of the role of the milestone in the process and a justification for the assigned duration, including any concerns, contingency plans, or limitations to completing the milestone. I will attach the full guidelines and the outline I submitted in week 3.
Research Paper Sample Content Preview:
STRATEGIC INTEGRATION OF DATA ANALYTICS AND ARTIFICIAL INTELLIGENCE IN PROJECT MANAGEMENT IN GLOBAL FINANCIAL INSTITUTIONS (GFIS) By Course Professor University Date Table of Contents TOC \o "1-3" \h \z \u 1.1 Introduction PAGEREF _Toc156775990 \h 3This section introduces the research topic and research topic and outlines the research aim and objectives. PAGEREF _Toc156775991 \h 31.2 Background Information PAGEREF _Toc156775992 \h 31.3 Research Aim PAGEREF _Toc156775993 \h 71.4 Research Objectives PAGEREF _Toc156775994 \h 7Section 2: Literature review PAGEREF _Toc156775995 \h 82.1 Introduction PAGEREF _Toc156775996 \h 82.2 Data Analytics in Project Management PAGEREF _Toc156775997 \h 82.3 Artificial Intelligence in Project Management PAGEREF _Toc156775998 \h 112.4 Strategic Integration Frameworks PAGEREF _Toc156775999 \h 142.5 Decision-Making Processes PAGEREF _Toc156776000 \h 16Section 3: Research Design, Data Collection, Data Analysis, and Ethical Considerations, Scope of Research PAGEREF _Toc156776001 \h 193.1 Research Design PAGEREF _Toc156776002 \h 193.1.1 Literature Review PAGEREF _Toc156776003 \h 193.1.2 Case Studies PAGEREF _Toc156776004 \h 193.2 Data Collection PAGEREF _Toc156776005 \h 203.3 Data Analysis PAGEREF _Toc156776006 \h 203.4 Ethical Considerations PAGEREF _Toc156776007 \h 203.5 Scope of the Research PAGEREF _Toc156776008 \h 203.5.1 Geographical Scope PAGEREF _Toc156776009 \h 203.5.2 Industry/Sector: PAGEREF _Toc156776010 \h 213.5.3 Temporal Scope: PAGEREF _Toc156776011 \h 213.6 Rationale for Topic Selection PAGEREF _Toc156776012 \h 213.7 Potential Benefits PAGEREF _Toc156776013 \h 223.8 Challenges Faced by Global Financial Institutions PAGEREF _Toc156776014 \h 233.9 Strategies for Integrating Data Analytics and Artificial Intelligence PAGEREF _Toc156776015 \h 244.0 Conclusion PAGEREF _Toc156776016 \h 25Appendix 1: Research Schedule/Plan PAGEREF _Toc156776017 \h 26Weeks 1-2: Defining Research Aim, Objectives and Scope PAGEREF _Toc156776018 \h 26Weeks 3-4: Developing Research Framework and Methodology PAGEREF _Toc156776019 \h 26Weeks 5: Testing of the Data Collection Tool PAGEREF _Toc156776020 \h 27Weeks 6: Actual Collection of the Data PAGEREF _Toc156776021 \h 27Weeks 7-8: Data Analysis PAGEREF _Toc156776022 \h 27Weeks 9: Case Studies and Best Practices PAGEREF _Toc156776023 \h 27Weeks 10-11: Finalizing the Research Report PAGEREF _Toc156776024 \h 28Additional Considerations PAGEREF _Toc156776025 \h 28References PAGEREF _Toc156776026 \h 29 Section 1 1.1 Introduction This section introduces the research topic and research topic and outlines the research aim and objectives. 1.2 Background Information Global Financial Institutions (GFIs) operation is very competitive and rapidly changing field (Porter & Heppelmann, 2015). Therefore, the nature of its functionality and demand calls for adopting equally up-to-date technologies and strategies to place it in a similarly competitive space. According to Porter and Heppelmann (2015), one of those strategies is embedding data analytics and artificial intelligence in project management. The integration serves several purposes: mitigating risks, optimizing processes, and providing innovation opportunities. Changing times call for efficient methods to fill the existing...
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