MSYS559-18B (NET)

E-Business Technologies

15 Points

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Waikato Management School
Te Raupapa
School of Management and Marketing


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Paper Description

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The Internet and Web technologies are driving fundamental changes in the way that businesses interact today, and e-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 technologies behind such developments, introducing fundamental technologies and approaches upon which systems and services are being built today.
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Paper Structure

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This is a fully online paper. This course has material for 12 weeks. 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

-Read or watch supplementary material provided in folder "ToRead or View (week number)"

-Perform activities as outlined in the video

-Write their own blog to record what has been discussed and what they have learned; this should also cover the supplementary material

-Participate in online discussion of each other's blog entries. Ideally, blog entries are written weekly.

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Learning Outcomes

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Students who successfully complete the course should be able to:

  • Be able to articulate to others the fundamental technological concepts underpinning modern e-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.
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  • Be aware of the architectural issues that arise in connection with ICT (Information and Communication Technology) when applied to e-business and be able to relay these issues to non-technical managers.
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  • Have developed skills in critiquing relevant literature, with particular emphasis on prominent material associated with the covered technologies.
    Linked to the following assessments:
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Assessment Components

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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. Technology Review
23 Oct 2018
11:30 AM
  • Online: Submit through Moodle
2. Online Presentation
1 Oct 2018
12:00 PM
3. Online Discussion/Blogs
4. Online Quizzes
Assessment Total:     100    
Failing to complete a compulsory assessment component of a paper will result in an IC grade
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Required and Recommended Readings

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Required Readings

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Internet business models (2016). Business model canvas. Retrieved from

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

Weinberger, M. (2013). Business models and the internet of things. Retrieved from

Search technology

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

Advertising technology

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

Recommender systems

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 course file.

Cloud computing technologies and cloud security

Gallagher, S. (2014). In-depth: How cloudflare promises SSL security without the key. Retrieved from

Osborne, C. (2015). The top trends shaping the face of cloud services by 2020. Retrieved from

Stadtmueller, L. (2014). Stepping into the cloud: A practical guide to creating and implementing a successful cloud. Retrieved from

University of Cambridge. (2015). How can we protect our information in the era of cloud computing? Retrieved from

Big Data technology

IBM. (2015). Five ways to get started with big data. Retrieved from

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

Russom, P. (2015). Hadoop for the Enterprise: Making data management massively scalable, agile, feature-rich, and cost-effective. Retrieved from

Walker, R. (2015). From big data to big profits: A lesson from Google’s Nest. Retrieved from>Technological foundations of Business Intelligence (BI) and data warehouses

Fields, E. (2013). Top 10 trends in business intelligence for 2014. Retrieved from

Russom, P. (2013). Integrating Hadoop into business intelligence and data warehousing. Retrieved from>E-business architectures, service orientation

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

architecture, governance, and business terms. Retrieved from

IBM developerWorks. (2007). SOA terminology overview, part 2: Development processes, models, and assets. Retrieved from

Kharytonov, S., & Sukholeyster, O. (2012). Enterprise IT architecture: Goals, trends and perspectives. Retrieved from

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

Technologies for mobile commerce and location-based services

Fatemi, F. (2015). The future of the web is all about context. Retrieved from

Marr, B. (2015). The amazing ways Uber is using big data. Retrieved from

Taiji, A. (2014). Top 10 essential tools in Airbnb hosts should have. Retrieved from

Tepper, F. (2015). Uber’s new update gives food delivery as much attention as transportation. Retrieved from

Yusuf, R.M. (2015). How innovation is disrupting the energy industry – and what it means for the Middle East and North Africa. Retrieved from

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

Trend Micro. (2015). Walking into wearable threats: Assessing business readiness for wearable devices. Retrieved from

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Recommended Readings

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Other Resources

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Online Support

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All course materials are available through Moodle.
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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.

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Linkages to Other Papers

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




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