DIGIB559-21B (NET)

E-Business Technologies

15 Points

Edit Header Content
Division of Management
School of Management and Marketing

Staff

Edit Staff Content

Convenor(s)

Lecturer(s)

Administrator(s)

: ashleigh.neame@waikato.ac.nz
: sade.lomas@waikato.ac.nz

Placement/WIL Coordinator(s)

Tutor(s)

Student Representative(s)

Lab Technician(s)

Librarian(s)

: yilan.chen@waikato.ac.nz

You can contact staff by:

  • Calling +64 7 838 4466 select option 1, then enter the extension.
  • Extensions starting with 4, 5, 9 or 3 can also be direct dialled:
    • For extensions starting with 4: dial +64 7 838 extension.
    • For extensions starting with 5: dial +64 7 858 extension.
    • For extensions starting with 9: dial +64 7 837 extension.
    • For extensions starting with 3: dial +64 7 2620 + the last 3 digits of the extension e.g. 3123 = +64 7 262 0123.
Edit Staff Content

Paper Description

Edit Paper Description Content
The Internet technologies are driving fundamental changes in the way that businesses interact today, and online-business is booming as organisations strive to improve efficiency, enter new markets, or gain competitive advantage through improved business processes, resource management, just-in-time provisioning and business relationships. This paper explores the various concepts and emerging technologies behind such developments, introducing fundamental technologies and approaches upon which systems and services are being built today.
Edit Paper Description Content

Paper Structure

Edit Paper Structure Content

This is a fully online paper. All course material will be provided through the DIGIB559 Moodle page.

Each week has between three and five videos containing the respective material plus hints and requests for self-study. In addition to watching the videos, students are required to:

  • Learn from the teaching material provided in folder "To Read or View (week number)"
  • Perform activities as outlined in the lecture notes and this paper outline
  • Write their own thoughts to reflect what has been learned and discuss with the class (this should also cover the supplementary material)
  • Participate in online discussion of each other's discussion entries. Ideally, entries are written to reflect the weekly materials.
Edit Paper Structure Content

Learning Outcomes

Edit Learning Outcomes Content

Students who successfully complete the paper should be able to:

  • 1. Be able to articulate to others the fundamental concepts underpinning modern Digital-business technology as it can nowadays be experienced on a daily basis. This will include a high-level summary of key approaches to modern electronic business.
    Linked to the following assessments:
  • 2. Be aware of the architectural issues that arise in connection with Information and Communication Technology when applied to Digital-business and be able to relay these issues to non-technical managers.
    Linked to the following assessments:
  • 3. Have developed skills in critiquing relevant literature, with particular emphasis on prominent material associated with the covered technologies.
    Linked to the following assessments:
Edit Learning Outcomes Content
Edit Learning Outcomes Content

Assessment

Edit Assessments Content

Assessment Components

Edit Assessments Content

The internal assessment/exam ratio (as stated in the University Calendar) is 100:0. There is no final exam. The final exam makes up 0% of the overall mark.

The internal assessment/exam ratio (as stated in the University Calendar) is 100:0 or 0:0, whichever is more favourable for the student. The final exam makes up either 0% or 0% of the overall mark.

Component DescriptionDue Date TimePercentage of overall markSubmission MethodCompulsory
1. Online Quizzes
10
  • Online: Submit through Moodle
2. Online Topic Discussions
30
  • Online: Moodle Forum Discussion
3. Online Presentation
27 Sep 2021
11:30 PM
30
  • Online: Submit through Moodle
4. Technology Review Report
18 Oct 2021
11:30 PM
30
  • Online: Submit through Moodle
Assessment Total:     100    
Failing to complete a compulsory assessment component of a paper will result in an IC grade
Edit Assessments Content

Required and Recommended Readings

Edit Required Readings Content

Required Readings

Edit Required Readings Content

Below are suggested readings that are related to the lecture contents:

Internet business models

Chron Contributor (2021) Internet-Based Business Models Definition

Extracted from https://smallbusiness.chron.com/explain-business-consumer-model-2258.html

Gassmann, O., Frankenberger, K., & Csik, M. (2013). The St. Gallen business model navigator (working paper). St Gallen, Switzerland: University of St Gallen.

Ovans, A. (2015). What is a Business Model? Harvard Business Review, 23, 1-10.

Rappa, M. (2010). Business models on the web. Retrieved from http://digitalenterprise.org/models/models.html

Weinberger, M. (2013). Business models and the internet of things. Retrieved from http://blog.bosch-si.com/categories/business-models/2013/11/business-models-and-the-internet-of-things/

Search technology

Priti Srinivas Sajja; Rajendra Akerkar (2012). Intelligent technologies for web applications. Boca Raton: CRC Press. p. 85. ISBN 978-1-4398-7162-1. Retrieved 3 June 2014.

Leskovec, J., Rajaraman, A., & Ullman, J. D. (2014).Mining of massive datasets. Cambridge University Press. (Chapter Five)

Lesk, M Bellcore, (2014) The Seven Ages of Information Retrieval

Retrieval(2019) http://home.mit.bme.hu/~meszaros/edu/onallo/it/valazsik.97/ages/ages.html

Advertising technology

NIDHI DAVE42 (2021) Digital Marketing Trends You Can’t Ignore in 2021

https://www.singlegrain.com/digital-marketing/digital-marketing-trends-2021/

Watkins E. A. (2018) Guide to Advertising Technology
Retrieved (2019) https://www.cjr.org/tow_center_reports/the-guide-to-advertising-technology.php

Leskovec, J., Rajaraman, A., & Ullman, J. D. (2014). Mining of massive datasets. Cambridge University Press. (Chapter Eight)

Recommender systems

Aggarwal, Charu C. (2016). Recommender Systems: The Textbook. Springer. ISBN 9783319296579.

Leskovec, J., Rajaraman, A., & Ullman, J. D. (2014). Mining of massive datasets. Cambridge University Press. (Chapter Nine)

Social media technology and social networks

Kietzmann, J. H., Hermkens, K., McCarthy, I. P., & Silvestre, B. S. (2011). Social media? Get serious! Understanding the functional building blocks of social media. Business Horizons, 54(3), 241-251.

Leskovec, J., Rajaraman, A., & Ullman, J. D. (2014).Mining of massive datasets. Cambridge University Press. (Chapter Ten)

Trainor, K. J., Andzulis, J. M., Rapp, A., & Agnihotri, R. (2014). Social media technology usage and customer relationship performance: A capabilities-based examination of social CRM.Journal of Business Research,67(6), 1201-1208.

Video to watch: “Air NZ Social Media Strategy” in the course file.

Cloud computing technologies and cloud security

Gallagher, S. (2014). In-depth: How Cloudflare promises SSL security without the key. Retrieved from http://arstechnica.com/information-technology/2014/09/in-depth-how-cloudflares-new-web-service-promises-security-without-the-key/

Osborne, C. (2015). The top trends shaping the face of cloud services by 2020. Retrieved from http://www.zdnet.com/article/the-top-trends-shaping-the-face-of-cloud-services-by-2020/

Stadtmueller, L. (2014). Stepping into the cloud: A practical guide to creating and implementing a successful cloud. Retrieved from https://www.techrepublic.com/resource-library/whitepapers/stepping-into-the-cloud-a-practical-guide-to-creating-and-implementing-a-successful-cloud-strategy-copy3/

The University of Cambridge. (2015). How can we protect our information in the era of cloud computing? Retrieved from http://www.cam.ac.uk/research/news/how-can-we-protect-our-information-in-the-era-of-cloud-computing

Big Data technology

Disha Sinha, (2021) TOP 10 BIG DATA TECHNOLOGIES RISING IN 2021

https://www.analyticsinsight.net/top-10-big->Technological Foundations of Business Intelligence (BI) and Data Warehouses

Russom, P. (2013). Integrating Hadoop into business intelligence and data warehousing. Retrieved from https://tdwi.org/research/2013/04/tdwi-best-practices-report-integrating-hadoop-into-business-intelligence-and->E-business architectures, service orientation architectures

Tsai, W., Sun, X., & Balasooriya, J. (2010). Service-Oriented Cloud Computing Architecture. 2010 Seventh International Conference on Information Technology: New Generations, 684-689.

IBM developerWorks. (2007). SOA terminology overview, part 1: Service,

architecture, governance, and business terms. Retrieved from http://www.ibm.com/developerworks/library/ws-soa-term1/

IBM developerWorks. (2007). SOA terminology overview, part 2: Development processes, models, and assets. Retrieved from http://www.ibm.com/developerworks/library/ws-soa-term2/

Kharytonov, S., & Sukholeyster, O. (2012). Enterprise IT architecture: Goals, trends, and perspectives. Retrieved from http://sandhill.com/article/enterprise-it-architecture-goals-trends-and-perspectives/

Koushik, S., & Joodi, P. (2000). E-business architecture design issues. IT Professional,2(3), 38-43.

The Open Group, SOA Source Book, (2019) Retrieved from https://www.opengroup.org/soa/source-book/intro/index.htm

Technologies for mobile commerce and location-based services

Fatemi, F. (2015). The future of the web is all about context. Retrieved from https://techcrunch.com/2015/08/18/the-future-of-the-web-is-all-about-context/#.ceaetn:Cl9H

Marr, B. (2015). The amazing ways Uber is using big data. Retrieved from http://www.datasciencecentral.com/profiles/blogs/the-amazing-ways-uber-is-using-big-data

Taiji, A. (2014). Top 10 essential tools in Airbnb hosts should have. Retrieved from http://thenextweb.com/gadgets/2014/03/13/top-10-tools-airbnb-hosts-2014/

Also check: Airbnb Tools For Hosts: Manage Your Airbnb Business Efficiently Retrieved 2019 from https://getpaidforyourpad.com/airbnb-tools/

Tepper, F. (2015). Uber’s new update gives food delivery as much attention as transportation. Retrieved from https://techcrunch.com/2015/08/17/ubers-new-update-gives-food-delivery-as-much-attention-as-transportation/

Yusuf, R.M. (2015). How innovation is disrupting the energy industry – and what it means for the Middle East and North Africa. Retrieved from http://blogs.worldbank.org/arabvoices/how-innovation-disrupting-energy-industry-and-what-it-means-middle-east-and-north-africa

In addition, if you are interested, you may get a PDF of the following report:

Sample PDF of Location-Based Services (LBS) and Real-Time Location Systems (RTLS) Market Research Report at https://www.absolutereports.com/enquiry/request-sample/12899849

The technological basis of the Internet of Things and ubiquitous computing

O’Reilly, T. (2015). Software above the level of a single device: The implications. Retrieved from http://www.oreilly.com/iot/free/software-above-device.csp

Trend Micro. (2015). Walking into wearable threats: Assessing business readiness for wearable devices. Retrieved from http://www.trendmicro.co.uk/media/campaigns/wearables/uk/pdf/wearables-pdf.pdf

Chauhuri, Abhik (2018). Internet of Things, for Things, and by Things. Boca Raton, Florida: CRC Press. ISBN 9781138710443.

Edit Required Readings Content

Online Support

Edit Online Support Content
All course materials are available through Moodle.
Edit Online Support Content

Workload

Edit Workload Content

This is a 500 level course, and the 15 points represent approximately 150 learning hours on the part of the students. This course runs over 12 weeks, students are expected to put in at least 15 hours per week of learning effort over the duration of the course.

Edit Workload Content

Linkages to Other Papers

Edit Linkages Content

Prerequisite(s)

Prerequisite papers: MSYS358, MSYS458 or equivalent OR at the discretion of the Chairperson.

Corequisite(s)

Equivalent(s)

Restriction(s)

Restricted papers: MSYS559

Edit Linkages Content