In this section
The single consolidated bibliography for the entire e-Portfolio in Harvard Cite Them Right style, alphabetical by first author surname, combining academic literature and self-authored items. Online sources use a fixed access date of 10 July 2026. The Evidence Index is the navigational counterpart with direct links.
Consolidated bibliography for the entire e-Portfolio. Style: Harvard Cite Them Right. Alphabetical by first author surname, with letter suffixes (2026a, 2026b, …) for multiple works by the same author in the same year.
This page is the single authoritative reference list. Inline citations on every other page resolve here. Self-authored e-portfolio items (screenshots, anchored evidence, page-level entries) appear in the same alphabetical sequence as academic literature; they are not separated into a different list. The Evidence Index is the navigational catalogue of those self-authored items, with direct anchor links and short descriptions.
All online sources use a fixed access date of 10 July 2026, set in line with the planned submission window (10 to 18 July 2026).
Accenture (2025) State of cybersecurity resilience 2025: elevate your cybersecurity to fit an AI-driven world. Dublin: Accenture. Available at: https://www.accenture.com/content/dam/accenture/final/accenture-com/document-3/State-of-Cybersecurity-report.pdf (Accessed: 10 July 2026).
Belbin, R.M. (2010) Team Roles at Work. 2nd edn. Oxford: Butterworth-Heinemann.
Bishop, C.M. (2006) Pattern Recognition and Machine Learning. New York: Springer.
BMW Group (2023) ‘Smart maintenance using artificial intelligence’, BMW Group PressClub Global, 27 November. Available at: https://www.press.bmwgroup.com/global/article/detail/T0438145EN/smart-maintenance-using-artificial-intelligence?language=en (Accessed: 10 July 2026).
BMW Group (2025) ‘Artificial intelligence as a quality booster’, BMW Group PressClub Global, 28 April. Available at: https://www.press.bmwgroup.com/global/article/detail/T0449729EN/artificial-intelligence-as-a-quality-booster?language=en (Accessed: 10 July 2026).
Brandon, D.P. and Hollingshead, A.B. (2004) ‘Transactive memory systems in organizations: matching tasks, expertise, and people’, Organization Science, 15(6), pp. 633-644.
Brownlee, J. (2018) Statistical Methods for Machine Learning: Discover How to Transform Data into Knowledge with Python. Vermont: Machine Learning Mastery.
Chapman, P., Clinton, J., Kerber, R., Khabaza, T., Reinartz, T., Shearer, C. and Wirth, R. (2000) CRISP-DM 1.0: Step-by-step data mining guide. CRISP-DM Consortium.
Chernozhukov, V. (2024) Applied Causal Inference Powered by Machine Learning and AI. Cambridge: MIT Press.
Cramton, C.D. (2001) ‘The mutual knowledge problem and its consequences for dispersed collaboration’, Organization Science, 12(3), pp. 346-371.
Crawford, F. (2006) ‘Data quality in machine learning’, in Practitioner notes on data preparation for predictive modelling. Practitioner reference.
Crosignani, M., Macchiavelli, M. and Silva, A.F. (2020) Pirates without borders: the propagation of cyberattacks through firms’ supply chains. Staff Report No. 937. New York: Federal Reserve Bank of New York. Available at: https://www.newyorkfed.org/medialibrary/media/research/staff_reports/sr937.pdf (Accessed: 10 July 2026).
Dgomonov (2019) New York City Airbnb Open Data. [Dataset]. Kaggle. Available at: https://www.kaggle.com/datasets/dgomonov/new-york-city-airbnb-open-data (Accessed: 10 July 2026).
European Commission, Directorate-General for Research and Innovation (2021) Industry 5.0: towards a sustainable, human-centric and resilient European industry. Luxembourg: Publications Office of the European Union. Available at: https://doi.org/10.2777/308407 (Accessed: 10 July 2026).
Faraj, S. and Sproull, L. (2000) ‘Coordinating expertise in software development teams’, Management Science, 46(12), pp. 1554-1568.
Harmadi, A. (2021) ‘Practical handling of missing values in real-world datasets’. Practitioner reference.
Jaguar Land Rover (2025) ‘Statement on cyber incident’, Jaguar Land Rover Media Centre, 2 September. Available at: https://media.jaguarlandrover.com/news/2025/09/statement-cyber-incident (Accessed: 10 July 2026).
Janardhan, S. (2021) ‘Update about the October 4th outage’, Engineering at Meta, 4 October. Available at: https://engineering.fb.com/2021/10/04/networking-traffic/outage/ (Accessed: 10 July 2026).
Korinek, A. and Stiglitz, J.E. (2021) Artificial intelligence, globalization, and strategies for economic development. NBER Working Paper No. 28453. Cambridge, MA: National Bureau of Economic Research. Available at: https://doi.org/10.3386/w28453.
Latane, B., Williams, K. and Harkins, S. (1979) ‘Many hands make light the work: the causes and consequences of social loafing’, Journal of Personality and Social Psychology, 37(6), pp. 822-832.
Leetaru, K. (2019) ‘A Reminder That Machine Learning Is About Correlations Not Causation’, Forbes, 15 January. Available at: https://www.forbes.com/sites/kalevleetaru/2019/01/15/a-reminder-that-machine-learning-is-about-correlations-not-causation/ (Accessed: 10 July 2026).
Leslie, D. (2019) Understanding artificial intelligence ethics and safety: A guide for the responsible design and implementation of AI systems in the public sector. London: The Alan Turing Institute. Available at: https://www.turing.ac.uk/sites/default/files/2019-06/understanding_artificial_intelligence_ethics_and_safety.pdf (Accessed: 10 July 2026).
McBride, T., Ekstrom, M., Lusty, L., Sexton, J. and Townsend, A. (2020) Data integrity: recovering from ransomware and other destructive events. NIST Special Publication 1800-11. Gaithersburg, MD: National Institute of Standards and Technology. Available at: https://doi.org/10.6028/NIST.SP.1800-11.
Metcalf, G.S. (2024) ‘An introduction to Industry 5.0: history, foundations, and futures’, in Nousala, S., Metcalf, G.S. and Ing, D. (eds) Industry 4.0 to Industry 5.0: explorations in the transition from a techno-economic to a socio-technical future. Singapore: Springer, pp. 1-29. Available at: https://doi.org/10.1007/978-981-99-9730-5_1.
Mella, A. (2026a) Group D kick-off deck slide 1 - title. [Online image]. Available at: https://protode908.github.io/eportfolio-uoe/units/unit-02/#evidence-unit2-deck-slide-1 (Accessed: 10 July 2026).
Mella, A. (2026b) Group D kick-off deck slide 2 - team introduction template. [Online image]. Available at: https://protode908.github.io/eportfolio-uoe/units/unit-02/#evidence-unit2-deck-slide-2 (Accessed: 10 July 2026).
Mella, A. (2026c) Group D kick-off deck slide 3 - working agreement and group etiquette. [Online image]. Available at: https://protode908.github.io/eportfolio-uoe/units/unit-02/#evidence-unit2-deck-slide-3 (Accessed: 10 July 2026).
Mella, A. (2026d) Group D kick-off deck slide 4 - communication and tooling proposal (1 of 2). [Online image]. Available at: https://protode908.github.io/eportfolio-uoe/units/unit-02/#evidence-unit2-deck-slide-4 (Accessed: 10 July 2026).
Mella, A. (2026e) Group D kick-off deck slide 5 - communication and tooling proposal (2 of 2). [Online image]. Available at: https://protode908.github.io/eportfolio-uoe/units/unit-02/#evidence-unit2-deck-slide-5 (Accessed: 10 July 2026).
Mella, A. (2026f) Group D kick-off deck slide 6 - submission scope. [Online image]. Available at: https://protode908.github.io/eportfolio-uoe/units/unit-02/#evidence-unit2-deck-slide-6 (Accessed: 10 July 2026).
Mella, A. (2026g) Track 1 decision register: D-001 to D-018, audit trail of methodological decisions for the Airbnb business analysis. [Project document]. Available at: https://protode908.github.io/eportfolio-uoe/projects/team-project/#evidence-team-decision-register (Accessed: 10 July 2026).
Mella, A. (2026h) Track 1 design document: handover-ready synthesis of the CRISP-DM five-script pipeline, regression specification, clustering specification, and figure ownership. [Project document]. Available at: https://protode908.github.io/eportfolio-uoe/projects/team-project/#evidence-team-design-document (Accessed: 10 July 2026).
Mella, A. (2026i) Track 1 briefing pack for the data-cleaning lead, version 0.6: cleaning rules with academic citations, three-tier framework, deliverable specification and quality checklist. [Project document]. Available at: https://protode908.github.io/eportfolio-uoe/projects/team-project/#evidence-team-briefing-pack (Accessed: 10 July 2026).
Mella, A. (2026j) Three-tier justification framework: project-internal rule tagging every methodological decision under Tier 1 (peer-reviewed literature), Tier 2 (recognised library documentation), or Tier 3 (pragmatic with future-work framing). [Project document]. Available at: https://protode908.github.io/eportfolio-uoe/projects/team-project/#evidence-team-three-tier-framework (Accessed: 10 July 2026).
Mella, A. (2026k) Triple-source evaluation map: report sections matched against the assignment brief, the tutor’s structure guidance, and the PG Grading rubric. [Project document]. Available at: https://protode908.github.io/eportfolio-uoe/projects/team-project/#evidence-team-triple-source-map (Accessed: 10 July 2026).
Mella, A. (2026l) Track 1 CRISP-DM five-script Python pipeline: 01_data_profiling, 02_data_preparation, 03_feature_analysis, 04_regression, 05_clustering. [Source code]. Available at: https://protode908.github.io/eportfolio-uoe/projects/team-project/#evidence-team-pipeline (Accessed: 10 July 2026).
Mella, A. (2026m) Demand-mapping pivot decision (D-017): re-anchoring the analytical narrative from a Smart-Pricing prescriptive framing to a demand-mapping plus competitive-map informational framing after the regression’s predictive ceiling. [Decision register entry]. Available at: https://protode908.github.io/eportfolio-uoe/projects/team-project/#evidence-team-demand-mapping-pivot (Accessed: 10 July 2026).
Mella, A. (2026n) Will-NOT-claim list: defensive criticality framing in the report, naming the specific recommendations the analysis cannot support. [Report extract]. Available at: https://protode908.github.io/eportfolio-uoe/projects/team-project/#evidence-team-will-not-claim (Accessed: 10 July 2026).
Mella, A. (2026o) Committed ML design constraints upfront (D-011): the six pre-cleaning constraints that pushed downstream ML choices upstream into data preparation. [Decision register entry]. Available at: https://protode908.github.io/eportfolio-uoe/projects/team-project/#evidence-team-ml-design-constraints (Accessed: 10 July 2026).
Mella, A. (2026p) Pre-run design document for the EDA and data-cleaning workstream: output specification, seven cleaning tasks with literature citations, exploration step, findings-document spec, folder-structure spec. [Project document]. Available at: https://protode908.github.io/eportfolio-uoe/projects/team-project/#evidence-team-eda-pre-run (Accessed: 10 July 2026).
Mella, A. (2026q) Cleaning script 02_data_preparation.py: imports, raw CSV load, Tasks 2.1 to 2.8 in order, produces cleaned CSV and step-2 cleaning log. [Source code]. Available at: https://protode908.github.io/eportfolio-uoe/projects/team-project/#evidence-team-cleaning-script (Accessed: 10 July 2026).
Mella, A. (2026r) Group D Google Drive workspace: workstream-driven folder structure with role-appropriate access permissions and explicit sharing policy. [Project workspace]. Available at: https://protode908.github.io/eportfolio-uoe/projects/team-project/#evidence-team-drive-workspace (Accessed: 10 July 2026).
Mella, A. (2026s) Group D project plan and timeline: locked, owner-named milestones with input and output columns through to submission on 6 June 2026. [Project document]. Available at: https://protode908.github.io/eportfolio-uoe/projects/team-project/#evidence-team-timeline (Accessed: 10 July 2026).
Mella, A. (2026t) Group D meeting on 9 May 2026: meeting notes and summary email circulating the locked business question, timeline, task allocation, and Coordinator role to the full distribution list. [Project communication]. Available at: https://protode908.github.io/eportfolio-uoe/projects/team-project/#evidence-team-meeting-9-may (Accessed: 10 July 2026).
Mella, A. (2026u) Decision register entry D-019: pre-run design document for EDA and cleaning issued; Coordinator role made explicit; timeline locked through to 6 June; partial-attendance decision-making rule applied at the 9 May meeting. [Decision register entry]. Available at: https://protode908.github.io/eportfolio-uoe/projects/team-project/#evidence-team-d019 (Accessed: 10 July 2026).
Mella, A. (2026v) Business question slide for Group D Track 1: regression for price prediction, clustering segmentation, business value supporting hosts, with rationale and business outcome. [Slide]. Available at: https://protode908.github.io/eportfolio-uoe/assets/evidence/unit-6/2026-05-09_business-question-slide.pdf (Accessed: 10 July 2026).
Mella, A. (2026w) Group D 9 May 2026 meeting presentation: 12-slide deck covering team status, business question, activities, roles, dependency map, CRISP-DM operationalisation, timeline and wrap-up. [Slide deck]. Available at: https://protode908.github.io/eportfolio-uoe/assets/evidence/unit-6/2026-05-09_group-meeting-presentation-12-slides.pdf (Accessed: 10 July 2026).
Mella, A. (2026x) EDA and Data cleaning design pre-run: handover email to the workstream lead delivering the folder structure, the pre-run design document and the cleaning script as a three-artefact pack, 10 May 2026. [Email]. Available at: https://protode908.github.io/eportfolio-uoe/projects/team-project/email-2026-05-10/ (Accessed: 10 July 2026).
Mella, A. (2026y) Collaborative Discussion 1 initial post: Industry 4.0 and 5.0 in the automotive sector, BMW AI-enabled production and the Jaguar Land Rover 2025 cyber incident, 3 May 2026. [Forum post]. Available at: https://protode908.github.io/eportfolio-uoe/discussions/cd1/#my-initial-post (Accessed: 10 July 2026).
Mella, A. (2026z) Collaborative Discussion 1 peer response to a peer’s post on the HSE Ireland 2021 ransomware attack, with Office of the Controller and Auditor General findings on weak IT infrastructure and the NIST Recover function, 13 May 2026. [Forum post]. Available at: https://protode908.github.io/eportfolio-uoe/discussions/cd1/#my-first-peer-response (Accessed: 10 July 2026).
Mella, A. (2026aa) Collaborative Discussion 1 peer response to a peer’s post on Industry 4.0 in the pharmaceutical sector, with Zero Trust Architecture, NIST CSF Recover, and Merck NotPetya and West Pharmaceutical Services cyberattack examples, 13 May 2026. [Forum post]. Available at: https://protode908.github.io/eportfolio-uoe/discussions/cd1/#my-second-peer-response (Accessed: 10 July 2026).
Mella, A. (2026ab) Collaborative Discussion 1 summary post: cross-sector synthesis (automotive, healthcare, pharmaceutical, education) exposing the implementation gap between Industry 5.0 aspirations and organisational practice, 13 May 2026. [Forum post]. Available at: https://protode908.github.io/eportfolio-uoe/discussions/cd1/#my-summary-post (Accessed: 10 July 2026).
Moore, G., Khurshid, Z., McDonnell, T., Rogers, L. and Healy, O. (2023) ‘A resilient workforce: patient safety and the workforce response to a cyber-attack on the ICT systems of the national health service in Ireland’, BMC Health Services Research, 23, article 1112. Available at: https://doi.org/10.1186/s12913-023-10076-8.
National Institute of Standards and Technology (2024) The NIST Cybersecurity Framework (CSF) 2.0. NIST Cybersecurity White Paper 29. Gaithersburg, MD: National Institute of Standards and Technology. Available at: https://doi.org/10.6028/NIST.CSWP.29.
OECD (2023) OECD Employment Outlook 2023: Artificial Intelligence and the Labour Market. Paris: OECD Publishing. Available at: https://doi.org/10.1787/08785bba-en.
Office of the Controller and Auditor General (2022) Report on the accounts of the public services 2021: chapter 12 - financial impact of cyber security attack. Dublin: Office of the Comptroller and Auditor General. Available at: https://www.audit.gov.ie/en/find-report/publications/2022/12-financial-impact-of-cyber-security-attack.pdf (Accessed: 10 July 2026).
Patil, A. (2018) ‘Working with missing values in datasets’. Practitioner reference.
Reuters (2025) ‘Jaguar Land Rover’s UK production returns to normal after weeks-long cyber shutdown’, Reuters, 14 November. Available at: https://www.reuters.com/business/retail-consumer/jaguar-land-rovers-uk-production-returns-normal-after-weeks-long-cyber-shutdown-2025-11-14/ (Accessed: 10 July 2026).
Rolfe, G., Freshwater, D. and Jasper, M. (2001) Critical Reflection in Nursing and the Helping Professions: A User’s Guide. Basingstoke: Palgrave Macmillan.
Rose, S., Borchert, O., Mitchell, S. and Connelly, S. (2020) Zero trust architecture. NIST Special Publication 800-207. Gaithersburg, MD: National Institute of Standards and Technology. Available at: https://doi.org/10.6028/NIST.SP.800-207.
Schröer, C., Kruse, F. and Gómez, J.M. (2021) ‘A systematic literature review on applying CRISP-DM process model’, Procedia Computer Science, 181, pp. 526-534.
Steiner, I.D. (1972) Group Process and Productivity. New York: Academic Press.
Thinsungnoen, T., Kaoungku, N., Durongdumronchai, P., Kerdprasop, K. and Kerdprasop, N. (2015) ‘The clustering validity with silhouette and sum of squared errors’, Proceedings of the 3rd International Conference on Industrial Application Engineering 2015, pp. 44-51.
Tukey, J.W. (1977) Exploratory Data Analysis. Reading, Massachusetts: Addison-Wesley.
University of Essex Online (n.d.) Machine Learning module description. Available at: https://www.online.essex.ac.uk/ (Accessed: 10 July 2026).
Weick, K.E. (1976) ‘Educational organizations as loosely coupled systems’, Administrative Science Quarterly, 21(1), pp. 1-19.
West Pharmaceutical Services, Inc. (2026) ‘Current Report Form 8-K’, U.S. Securities and Exchange Commission, 7 May. Available at: https://www.sec.gov/Archives/edgar/data/105770/000010577026000068/wst-20260507.htm (Accessed: 10 July 2026).
World Economic Forum (2025a) Global cybersecurity outlook 2025. Geneva: World Economic Forum. Available at: https://reports.weforum.org/docs/WEF_Global_Cybersecurity_Outlook_2025.pdf (Accessed: 10 July 2026).
World Economic Forum (2025b) The future of jobs report 2025. Geneva: World Economic Forum. Available at: https://www.weforum.org/publications/the-future-of-jobs-report-2025/ (Accessed: 10 July 2026).
whyalwaysme (2019) ‘Data cleaning practices for the AB_NYC_2019 dataset’. Kaggle notebook. Available at: https://www.kaggle.com/code (Accessed: 10 July 2026).
Young, S. (2025) ‘UK’s Jaguar Land Rover cyberattack shutdown to hit four weeks’, Reuters, 23 September. Available at: https://www.reuters.com/business/retail-consumer/uks-jaguar-land-rover-cyber-attack-shutdown-hit-four-weeks-2025-09-23/ (Accessed: 10 July 2026).
Further references will be added here as sources are cited across the unit pages, project pages, discussions, the reflection, and the Evidence Index. The list grows in alphabetical order; letter-suffix discriminators (2026g, 2026h, …) follow the alphabetical position of each new self-authored entry.