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作者:Thomas Kaluvi
作者(英文):Thomas Kaluvi
論文名稱:Using content analysis method to investigate the applications of artificial intelligence on electronic records management
論文名稱(英文):Using content analysis method to investigate the applications of artificial intelligence on electronic records management
指導教授:吳怡菱
指導教授(英文):Wu Li-Ying
口試委員:何祖鳳
許芳銘
口試委員(英文):Ho Tsu-Feng
Hsu Fang-Ming
學位類別:碩士
校院名稱:國立東華大學
系所名稱:資訊管理碩士學位學程
學號:610639014
出版年(民國):108
畢業學年度:107
語文別:英文
論文頁數:87
關鍵詞(英文):Electronic Records ManagementContent AnalysisArtificial IntelligenceRecords Lifecycle
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The aim of this study is to offer suggestions to records managers and archival communities on
applications of artificial intelligence on electronic records management due to little adoption and
lack of persuasive research/ use cases of artificial intelligence technology. This study conducted a
series of content analyses of the publications in the field of records and archival management from
2008 to 2018 on the application of artificial intelligence on electronic records management. A total
of 149 publications were reviewed and analyzed in terms of the number of authors, authors by
nationality, author type, materials sources, materials types, artificial intelligence initiatives/ projects
in 4 countries, artificial intelligence techniques, challenges in electronic records management,
records lifecycle tasks, suggestions offered from publication reviewed. It targeted four major
English-speaking countries including Australia, Canada, UK and USA. We found that from 2016
to 2018 the trend of testing and applying artificial intelligence on electronic records management
is gradually growing in records management and archival communities. The study also found that
most used artificial intelligence technique in electronic records management is machine learning
and natural language processing. The artificial intelligence techniques can be applied in all three
stages of creation, maintenance and use and disposal in records lifecycle, especially repetitive,
labor-intensive and error-prone tasks.
Table of Contents
Acknowledgment ......................................................................................................... I
Abstract .............................................................................................................. II
Table of contents ................................................................................................ III
List of figures ............................................................................................................................................... V
List of Tables .............................................................................................................................................. VI
Chapter 1 Introduction ....................................................................................................................... 1
1.1 Research Background ...................................................................................................................... 1
1.2 Research Motivation ......................................................................................................................... 4
1.3 Research Objectives .......................................................................................................................... 6
1.4 Research Questions (RQ) ................................................................................................................. 7
Chapter 2 Literature Review ........................................................................................................................ 9
2.1 Artificial Intelligence ........................................................................................................................ 9
2.2 Records Management ..................................................................................................................... 14
2.3 Content Analysis ............................................................................................................................. 19
Chapter 3 Methodology ............................................................................................................................. 33
3.1 Research Methodology ................................................................................................................... 33
3.2 Research Design .............................................................................................................................. 35
3.3 Data Collection Procedures and Categories ................................................................................. 35
3.4 Data Interpretation ......................................................................................................................... 39
Chapter 4 Data Analysis, Findings and Discussion .................................................................................... 41
4.1. RQ1: Country ................................................................................................................................. 41
4.2. RQ2: Author .................................................................................................................................. 42
4.3. RQ3: Author Nationality ............................................................................................................... 44
4.4. RQ4: Author Type ......................................................................................................................... 45
4.5. RQ5: Materials Sources................................................................................................................. 46
4.6. RQ6: Material Type ....................................................................................................................... 47
4.7. RQ7: Records Lifecycle ................................................................................................................. 48
4.8. RQ8: Artificial Intelligence Techniques ...................................................................................... 49
4.9. RQ9: Challenges ............................................................................................................................. 52
4.10. RQ10: Suggestions ...................................................................................................................... 53
4.11. RQ11: Period ................................................................................................................................ 54
IV
4.12. RQ12: Projects ............................................................................................................................ 56
Chapter 5 Conclusions and Suggestions .................................................................................................... 59
5.1 Research Contribution ................................................................................................................... 59
5.2 Managerial Implications ................................................................................................................ 59
5.3 Limitations and Future Research .................................................................................................. 60
5.4 Study Suggestions/Recommendations ........................................................................................... 61
5.5 Conclusion ....................................................................................................................................... 63
References ........................................................................................................................ 65
Appendixes ........................................................................................................................ 81
Ahmed, H. E. (2018). AI Advantages & disadvantages. International Journal of Scientific
Engineering and Applied Science (IJSEAS) – Volume-4, Issue-4, January 2018 ISSN:
2395-3470 www.ijseas.com
APA. (2010). Publication manual of the American Psychological Association (6th ed.).
Washington DC: American Psychological Association.
ARMA International, (2005). What is records management? Retrieved from
www.armainternational.org
Asogwa, B. E. (2012). The challenge of managing electronic records in developing countries.
Records Management Journal, 22(3), 198–211. DOI:10.1108/09565691211283156
Astuti, P. A. A. (2017). How to use content analysis methods: Steps in conducting content
analysis. Retrieved from http://www.academia.edu/27949101/
Bailey, S. (2009). Forget electronic records management, it’s automated records management that
we desperately need. Records Management Journal, 19(2), 91–97.
doi:10.1108/0956569091097204
Bailey, C. W. (1991). "Intelligent Library Systems: Artificial Intelligence Technology
and Library Automation Systems." In Advances in Library Automation and Networking,
vol. 4, ed. Joe A. Hewitt, 1-23. Greenwich, CT: JAI Press, 1991. Available at;
http://www.elsevier.com
Baron J. R& Payne, N. (2017). Auto-Categorization Methods for Digital Archives. 2017 IEEE
International Conference on Big Data (BIGDATA)
Bellman, R. (1978). An introduction to artificial intelligence, can computers think, Boyd and Frazer,
San Francisco, Calif
66
Benoit, W. L. (2011). Content analysis in political communication. The sourcebook for political
communication research: methods, measures, and analytical techniques, pages 268–279
Berg, B. (2007). Qualitative research methods for the social sciences. Boston: Allyn and Bacon.
Bozkaya, M., Aydın, İ. E. & Kumtepe, E. G. (2012). Research trends and issues in
educational technology: a content analysis of TOJET (2008-2011). The Turkish Online
Journal of Educational Technology, 11 (2), 264-277.
Bozkurt, A., Akgun-Ozbek, E., Yilmazel, S., Erdogdu, E., Ucar, H., Guler, E., & Aydin, C. H.
(2015). Trends in distance education research: A content analysis of journals 2009-2013.
The International Review of Research in Open and Distributed Learning, 16(1) 330-363.
doi:10.19173/irrodl.v16i1.1953
Bryman, A. (2008). Social Research. (3rd ed.). London: Oxford University Press
Bullinaria, J. A. (2005). IAI: The Roots, Goals and Sub-fields of AI. Retrieved from
https://www.cs.bham.ac.uk/~jxb/IAI/w2.pdf
Camnalbur, M., Bayraktar, M. D. & Amuce, E. N. (2013). The effect of web-based
instruction on achievement: A meta-analysis study. Cypriot Journal of Educational
Sciences, 8, (3), 292-301
Carlson, L. (2008). Use, misuse, and abuse of content analysis for research on the consumer
interest. The Journal of Consumer Affairs, 42(1), 100-105.
Carnahan, A. (2014). “Big data needs big classification”, IQ: The RIM Quarterly, Vol. 30 No. 1,
pp. 16-19.
Charialak, E. & McDermott, D. (1985). Intraday-lion to Artificial Intelligence. Addison-Wesley.
Chase, H. S., Mitrani, L. R., Lu, G. G., & Fulgieri, D. J. (2017). Early recognition of multiple
sclerosis using natural language processing of the electronic health record. BMC Medical
Informatics and Decision Making, 17(1). doi:10.1186/s12911-017-0418-
67
Chen, S. H., Jakeman, A. J., & Norton, J. P. (2008). Artificial Intelligence techniques: An
introduction to their use for modelling environmental systems. Mathematics and Computers
in Simulation, 78(2-3), 379–400.
Chigariro, D., & Khumalo, N. B. (2018). Electronic records management research in ESARBICA:
a bibliometric study. Records Management Journal, 28(2), 159–174. doi:10.1108/rmj-12-
2016-0045
Christen, P. (2008). Automatic record linkage using seeded nearest neighbour and support vector
machine classification. Proceeding of the 14th ACM SIGKDD International Conference on
Knowledge Discovery and Data Mining - KDD 08. doi:10.1145/1401890.1401913
Cruz, J. A., & Wishart, D. S. (2006). Applications of Machine Learning in Cancer Prediction and
Prognosis. Cancer Informatics, 2, 117693510600200.doi:10.1177/117693510600200030
Chowdhury, M. & Sadek, A.W. (2012). Advantages and limitations of artificial intelligence"
Artificial Intelligence Applications to Critical Transportation Issues, 6, Transportation
Research Circular E-C168.
Council of Australasian Archives and Records Authorities. (2014). Australasian Digital
Recordkeeping Initiative ADRI http://adri.gov.au/
Creswell, J W. (2009). Research Design: Qualitative, Quantitative and mixed methods approaches.
(3rd ed.). London: SAGE
Darcy, Z. (2015). Project Chrysalis –transforming the digital business of the National
Archives of Australia. Retrieved from
https://fedora.phaidra.univie.ac.at/fedora/get/o:429539/bdef:Content/get
Das, S., Dey, A., Pal, A & Roy, N. (2015). Applications of Artificial Intelligence in Machine
68
Learning: Review and Prospect International Journal of Computer Applications (0975 –
8887) Volume 115 – No. 9, April 2015
David D. L. & Karen S. J. (1996).Natural language processing for information retrieval.
Communications of the ACM, 39(1):92-101, January 1996.
DeFranzo, S.E. (2011). What’s the difference between qualitative and quantitative research?
Retrieved from https://www.snapsurveys.com/blog/qualitative-vs-quantitative-research/
Demirok, M.S. Baglama, B. & Besgul, M. (2015). A Content Analysis of the Studies in
Special Education Area. Procedia - Social and Behavioral Sciences 197 (2015 ) 2459 – 2467
Duranti, L. (1999). Concepts and principles for the management of electronic records, or records
management theory is archival diplomatics. Records Management Journal, 9(3), 149–171.
doi:10.1108/eum0000000007248
Eğmir, E., Erdem, C. & Koçyiğit, M. (2017). Trends in Educational Research: A Content Analysis
of the Studies Published in International Journal of Instruction. International Journal of
Instruction, 10(3), 277-294. https://doi.org/10.12973/iji.2017.10318a
Elizabeth, S. (2006). Why are records in the public sector organizational assets?
Records Management Journal, Vol. 16 Issue: 1, pp.6-12. Retrieved from
https://doi.org/10.1108/09565690610654747
Engadget, (2016). How technology has changed our lives? Retrieved from
https://www.engadget.com/2016/10/30/how-technology-has-changed-our-lives/
Erdoğan, M., Marcinkowski, T. & Ok, A. (2009). Content analysis of selected features of K-8
environmental education research studies in Turkey, 1997-2007. Environmental Education
Research, 15 (5), 525-548.
69
Forbes Technology Council, (2018). Business Applications For Artificial Intelligence and
Machine
Learning. Retrieved from https://forbestechcouncil.com/
Gasiorowski-Denis, E. (2016). Records management in the digital age. Retrieved from
https://www.iso.org/news/2016/04/Ref2072.html
Gaur, A. S., & Kumar, M. (2017). A systematic approach to conducting review studies: An
assessment of content analysis in 25 years of IB research. Journal of World Business,
forthcoming.
Georgia Tech Research Institute. (2005). Access Restriction Checker - National Archives.
Retrieved from https://www.archives.gov/files/applied-research/papers/access-restrictiomchecker.
pdf
Gillin, P. (2018). A fresh look at artificial intelligence and records management. Retrieved
from.https://www.infogoto.com/a-fresh-look-at-artificial-intelligence-and-recordsmanagement/
Government of Alberta. ((2015). Official and Transitory Records: A Guide for Government of
Alberta Employees. Retrieved from www.alberta.ca/information-managementbranch.
aspx1
Hart, C. (2005). Doing your masters Dissertation, London: SAGE
Haugeland. (1985). Artificial Intelligence. The 'Jen Idea. MIT Press.
Hong Kong records management policy and procedures. (2011). Guidelines on records
Management in the Government. Retrieved from
https://www.grs.gov.hk/en/hksar_government_administrative_guidelines_on_record_man
agement.html
70
International Council on Archives. (2008). Principles and Functional Requirements for Records in
Electronic Office Environments – Module 2: Guidelines and Functional Requirements for
Electronic Records Management Systems, 2008, published at www.ica.org
International Records Management Trust. (2009). Understanding the context of electronic records
management. Retrieved from https://www.irmt.org/
ISO 15489. (2016). International Standard: Information and Documentation – Records
Management https://www.iso.org/news/2016/04/Ref2072.html
ISO 15489-1. (2001). International Standard: Information and Documentation – Records
Management – Part 1: General, International Organization for Standardization, Geneva.
Jordaan. Y., Melanie, W. Karim, A.; & Ermi de C. (2013). Content analysis of published articles in
the South African journal of economic and management sciences. AJEMS NS 16 (2013) No
4:435-451
Katuu, S. (2016). Assessing the functionality of the enterprise content management maturity
model", Records Management Journal, Vol. 26 Issue: 2, pp.218-238,
https://doi.org/10.1108/RMJ-08-2015-0030
Khan, A., Baharudin, B., Lee, H.L.,& khan, K.(2010). "A Review of Machine Learning Algorithms
for Text-Documents Classification," Journal of Advances in Information Technology, Vol.
1, No. 1, pp. 4-20, February, 2010.doi:10.4304/jait.1.1.4-20
Kondracki, N. L., Wellman, N. S., & Amundson, D. R. (2002). Content Analysis: Review of
Methods and Their Applications in Nutrition Education. Journal of Nutrition Education and
Behavior, 34(4), 224–230. doi:10.1016/s1499-4046(06)60097-3
Kothari, C.R. (1990). Research methodology: methods & Techniques. New Age International (P)
Ltd. Publishers
71
Kotsiantis, S. B. (2007). Supervised Machine Learning: A Review of Classification Techniques.
Informatica 31 (2007) 249-268 249
Krippendorff, K. (2004). Content analysis: An introduction to its methodology. (Sage commtext
series; 5). Beverly Hills: Sage Publications. Found at
https://instr.iastate.libguides.com/researchmethods
Kumar, R. (2011). Research methodology a step-by-step guide for beginners. 3rd ed. London.
SAGE Publications Ltd
Kumar, R.R. (2017). What is the AI Technique? Retrieved from https://www.quora.com
Kurzweil, R. (1990). The Age of Intelligent Machines. MIT Press.
Langemo, M. (1994). Successful strategies for establishing or strengthening a records management
program. In: Proceeding your highway in information management: ARMA
Liddy, E.D. ( 2001). Natural Language Processing. In Encyclopedia of Library and Information
Science, 2nd Ed. NY. Marcel Decker, Inc.
McCarthy, J. (1989) What is AI? / Branches of AI. Retrieved from
http://jmc.stanford.edu/artificial-intelligence/what-is-ai/branches-of-ai.html
McClure, S. (2016). The Challenges of Electronic Records. Retrieved from
https://prologue.blogs.archives.gov/2016/10/09/the-challenges-of-electronic-records/
McFadden, W., McHenry, K., Kooper, R., Ondrejcek, M., Yahja, A. & Bajcsy, P. (2008).
Advanced Information Systems for Archival Appraisals of Contemporary Documents.
Retrieved from.
http://isda.ncsa.uiuc.edu/peter/publications/conferences/2008/appraisal_eScience08.pdf.
72
Mellita A., & Kalogirou, S. A. (2008). Artificial intelligence techniques for photovoltaic
applications: A review. Progress in Energy and Combustion Science 34 (2008) 574–632
available at www.elsevier.com
Meng, J. & Berger, B. K. (2008). Comprehensive dimensions of government intervention in crises
management: A qualitative content analysis of news coverage of the 2003 SARS epidemic
in China. China Media Research, 4(1), 19-28.
Mitchel, K. (2010). Automating Records Management with Artificial Intelligence. Retrieved from
http://www.infonomicsmag.com
Mohammed, M., Badruddin K., Muhammad & Bashier, E. (2016). Machine Learning: Algorithms
and Applications. 10.1201/9781315371658.
Moss, M. S. & Gollins, T. J. (2017). Our Digital Legacy: An Archival Perspective, Journal, of
Contemporary Archival Studies: Vol. 4, Article 3.
Mueller, B., Viering, G., Legner, C., & Riempp, G. (2010). Understanding the economic potential
of service-oriented architecture. Journal of Management Information Systems, 26(4), 145–
180.
Na, J., & Ye, Y. E. (2017). Content analysis of scholarly discussions of psychological academic
articles on Facebook", Online Information Review, Vol. 41 Issue: 3, pp.337-353, https://
doi.org/10.1108/OIR-02-2016-0058
Nachmias, C.F. (2000). Research Methods in the social sciences. London: Arnold
NARA. (2015). The Capstone Approach and Capstone GRS. Retrieved from
https://www.archives.gov/files/records-mgmt/email-management/final-capstone-whitepaper.
pdf
73
NARA. (2015). Open Source Tools for Records Management. Retrieved from
https://www.archives.gov/files/records-mgmt/prmd/open-source-tools-for-records-mgmtreport.
pdf
NARA. (2016). Resources - Publications: Disposition of Federal Records - Chapter 1 Retrieved
from https://www.archives.gov/records-mgmt/publications/disposition-of-federalrecords/
chapter-1.html
NARA. (2016). Records management and the development of automated information systems
information systems (AIS). Retrieved from
http://webapp1.dlib.indiana.edu/virtual_disk_library/index.cgi/4280768/FID877/ZDATA/I
TPUBS/Records.pdf. Accessed 23 July 2018
National Archives and Records Administration. (2014). Automated Electronic Records
Management Report/Plan. Office of the Chief Records Officer for the U.S. Government.
URL: https://www.archives.gov/records-mgmt/prmd/automated-erm.html
National Archive and Records Administration. (2018). What is records management? Retrieved
from www.archives.gov/about/info/whats-an-archives.html
National Archive of Australia. (2017). Whole-of-Government digital records platform Retrieved
from https://www.finance.gov.au/publications-reports/about-digital-recordstransformation-
initiative/
National Archive of Australia. (2018). National Archives of Australia - Agile digital. Retrieved
from https://agiledigital.com.au/clients/national-archives-of-australia/
Neuman, W. L. (2011). Social research methods: Qualitative and quantitative approaches (7th
ed.). Boston: Pearson Education, Inc.
74
Neuman, L W. (2014). Basics of social research: Qualitative & quantitative approaches. (3rd ed.).
England: Pearson
Nicholas, J., Fogarty A.S., Boydell, K, Christensen, H. (2017). The Reviews Are in: A Qualitative
Content Analysis of Consumer Perspectives on Apps for Bipolar Disorder. J Med Internet
Res 2017;19(4): e105 DOI: 10.2196/jmir.7273
Nilsson, N. 1. (1998). Logic and artificial intelligence_ All, 47(1-31,31-16.
Norvig, P. & Russel, S. (2010). Artificial Intelligence: 3rd. Ed. A modern Approach, Prentice Hall,
NJ, 2010
Palmer, M. (2000). Records management and accountability versus corruption, fraud and
maladministration. Records Management Journal, vol. 10, no. 2, August 2000, pp. 61–72
Pang, B., Lee, L. &Vaithyanathan, S. (2002). Thumbs up? Sentiment Classification using Machine
Learning Techniques Association for Computational Linguistics. Language Processing
(EMNLP), Philadelphia, July 2002, pp. 79-86. Association for Computational Linguistics.
Peppard, J., Weill, P., & Daniel, E. (2007). Managing the realization of business benefits from in
investments. MIS Quarterly Executive, 6(1), 1–11
Poole, D. (1998). Probabilistic Horn abduction and Bayesian networks. ALI, 64, 81-129.
Public Record Office Victoria. (2018). Digital appraisal and disposal research project Retrieved
from https://prov.vic.gov.au/recordkeeping-government/research-projects/digitalappraisal-
and-disposal-research-project
Public Record Office Victoria. (2018). Machine assisted email appraisal project. Retrieved
Fromhttps://www.prov.vic.gov.au/recordkeeping-government/research-projects/machineassisted-
email-appraisal-project
75
Qiu, M., & Song, Y. (2016). Predicting the Direction of Stock Market Index Movement Using an
Optimized Artificial Neural Network Model. PLoS ONE 11(5): e0155133.
https://doi.org/10.1371/journal.pone.0155133
Raskutti, B., Kowalczyk A. (2011) Document categorisation system. Retrieved from
www.google.com/patents/US7971150
Ray, S. (2017). Commonly used Machine Learning Algorithms (with Python and R Codes). Retrieved
from https://www.analyticsvidhya.com/blog/2017/09/common-machine-learningalgorithms/
Rich, E. & Knight, K. (1991). Artificial Intelligence. McGraw Hill
Ritchie, J & Lewis, J. (2003). Qualitative research practice. Great Britain: Sage
RIMaskforce. (2005). What is a Record? Why Are Records Important? Retrieved from
https://www.pimedu.org/files/toolkit/PIMrisk1.pdf
Robinson, (2010). Filtering and managing electronic mail.
https://patents.google.com/patent/US7783706B1/en
Rolan, G., Humphries, G., Jeffrey, L., Samaras, E., Antsoupovad, T. & Stuarte, K. (2018). More
human than human? Artificial intelligence in the Archive Archives and manuscripts.
https://doi.org/10.1080/01576895.2018.1502088
Saban, A. (2009). Coklu zeka kurami ile ilgili Turkce calismalarin icerik analizi. Kuram ve
Uygulamada Egitim Bilimleri, 9, (2), 833-876.
Sanket, (2017). Branches of Artificial Intelligence (AI) – Part 1 Retrieved from
http://sanket.khandare.com/branches-of-artificial-intelligence-ai-part-1
Sarantakos, (1998). Social Research. (2nd ed.). London: MacMillan Press Ltd.
76
Seuring, S. G, (2012). Conducting content-analysis based literature reviews in supply chain
management, Supply Chain Management: An International Journal, Vol. 17 Iss 5 pp. 544
– 555 Permanent link to this document:
Sharma, P. (2011). Management of information life cycle. Journal of Engineering Research and
Studies JERS/Vol.II/ Issue IV/October-December,2011/15-16
Shubhendu, S.1. & Jaiswal, V. (2013). Applicability of Artificial Intelligence in Different Fields of
Life International Journal of Scientific Engineering and Research (IJSER) Volume 1 Issue
1, September 2013
Simon, A., Deo, M.S., Venkatesan, S. & Babu, D.R. (2015). An Overview of Machine Learning
and its application. Retrieved from.
https://www.researchgate.net/publication/289980169_An_Overview_of_Machine_Learnin
g_and_its Application
Souza, R.R., Coelho, F.C., Shah, R. & Connelly, M. (2016). Using artificial intelligence to identify
state secrets. Retrieved from https://arxiv.org/abs/1611.00356
Stevens, L. N. (1999). National archives: The Challenge of Electronic Records Management
(GAO/T-GGD-00-24)
Stemler, S. E. (2015). Content Analysis. Emerging Trends in the Social and Behavioral Sciences,
1–14.doi:10.1002/9781118900772.etrds0053
Stramel, S. (2009). Artificial Intelligence: Advantages and Disadvantages. Retrieved from
http://sstramel.blogspot.com/2009/09/artificial-intelligence-advantages-and.html
Stroud, D., Pete, P., Christopher, C., Janey-Rae, C. & Nicholas, T. (2017). A Content Analysis of
Research Articles in The Journal for Specialists in Group Work: 1998–2015, The Journal
for Specialists in Group Work, 42:2, 194-210, DOI: 10.1080/01933922.2017.1282569
77
Subramaniam, T. (2016). The 'Data' guy. Retrieved from. https://www.quora.com/ What-is-theimportance-
of-artificial-intelligence-How-has-it-changed-through-time
Suhail, K., Abdullah, A.B., Mokhtar, A.S.B. & Pesaran, M. (2015). A comprehensive overview on
signal processing and artificial intelligence techniques applications in classification of
power quality disturbances Renewable and Sustainable Energy Reviews. Volume 51,
November 2015, Pages 1650-1663
Swarup, P., (2012). Artificial intelligence. International Journal of Computing and Corporate
Research volume 2 issue 4 July 2012. available at http://www.ijccr.com
The National Archives. (2016). The application of technology- assisted review to born- digital
records transfer, Inquiries and beyond: research report. Retrieved from
http://www.nationalarchives.gov.uk/documents/technology-assisted-review-to-borndigital-
records-transfer.pdf
The National Archives. (2018). Machine learning in the Archives. Retrieved from
https://blog.nationalarchives.gov.uk/blog/machine-learning-archives
The New South Wales State Archives. (2017). Machine learning and records management.
Retrieved from https://futureproof.records.NSWA.gov.au/machine-learning-and-recordsmanagement/
The New South Wales State Archives. (2018). Case study internal pilot machine learning and
records management. Retrieved from https://futureproof.records.NSWA.gov.au/casestudy-
internal-pilot-machine-learning-and-records-management/
The New South Wales State Archives. (2018). Case study external pilot machine learning and
Records. Retrieved from https://futureproof.records.NSWA.gov.au/case-study-externalpilot-
machine-learning-and-records-management/
78
Tsai, C. & Wen, M. L. (2005) Research and trends in science education from 1998 to 2002: a
content analysis of publication in selected journals, International Journal of Science
Education, 27:1, 3-14, DOI: 10.1080/0950069042000243727
Underwood, W., Hayslett, M., Isbell, S., Laib, S., Sherrill, S., & Underwood, M (2009).
Advanced Decision Support for Archival Processing of Presidential Electronic Records:
Final Scientific and Technical Report ITTL/CSITD 09-05 October 2009
Valerie, C. M. (2010). The Challenges of Managing Electronic Records. Retrieved from
https://www.gao.gov/products/GAO-10-838T
Vellino, A. & Alberts, I. (2016). Assisting the appraisal of e-mail records with automatic
classification. Records Management Journal Vol. 26 No. 3, 2016 pp. 293-313 available at
www.emeraldinsight.com/0956-5698.htm
Victorian Electronic Records Strategy. (2002). Introduction to the Victorian Electronic Records
Strategy (VERS). Retrieved from https://www.prov.vic.gov.au/
Vourvachis, P. & Woodward, T. (2015). Content analysis in social and environmental reporting
research: trends and challenges. Journal of applied accounting research, 16 (2), pp. 166 -
195.
Walfall, C. S. (2011). A qualitative analysis of local and imported television programming in
Jamaica: Implications for cultural and national development (Master’s thesis). Retrieved
from ProQuest.
Wamukoya, J. and Mutula, S.M. (2005a), “Capacity-building requirements for e-records
management: the case in East and Southern Africa”, Records Management Journal, Vol. 15
No. 2, pp. 71-79.
79
Wang & Hajli. (2017). Exploring the path to big data analytics success in healthcare. Journal of
Business Research 70 (2017) 287–299
West & Allen, (2018). How artificial intelligence is transforming the world. Retrieved from
https://www.brookings.edu/research/how-artificial-intelligence-is-transforming-the-world/
West, M. D. (2017). Content Analysis. The Wiley-Blackwell Encyclopedia of Social Theory, 1–
3.doi:10.1002/9781118430873.est0599
Winston, P. H. (1992). Artificial Intelligence {3rd –ed. Addison-Wesley.
Yusof, Z. M., & Chell, R. W. (2000). The Records Life Cycle: an inadequate concept for
technology-generated records. Information Development, 16(3), 135–
141.doi:10.1177/0266666004240413
Zawacki, R., Olaf, U. A, & Ahmed, A., (2017). Review and Content Analysis of the International
Review of Research in Open and Distance/Distributed Learning (2000–2015) International
Review of Research in Open and Distributed Learning Volume 18, Number 2
 
 
 
 
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