ITI43414 Advanced topics in information systems (Spring 2019)

The course is connected to the following study programs

Elective course in the master programme in applied computer science full time and part time.

Absolute requirements

None.

Recommended requirements

None.

Lecture Semester

Second semester (spring) in the full time programme.

Second or fourth semester (spring) in the part time programme.

The student's learning outcomes after completing the course

Knowledge
The student                                                                                               
 - is familiar with principles for sustainable information systems
 - is familiar with the use of IT in businesses
 - is familiar with hybrid IT management (including cloud computing)
 - has a good overview of health informatics
 - is familiar with global trends in information systems management and development.

Skills
The student is able to develop a strategy for the deployment of an information system in a business.

General competence
The student is able to apply scientific theory and methodology in a practical business setting.

Content

• Energy Informatics
• Health IT
• Information Systems in a global world
• IT Governance
• New trends in Business Software (Cloud Computing, Hybrid IT )
• Information Systems Development: Improvement & Capability
• Big Data Acquisition, Storage, Analysis & Visualization. An information systems perspective.

Forms of teaching and learning

Ordinary lectures, video lectures, supervision and project work.

Workload

Approx. 400 hours.

Practical training/internship

None.

Coursework requirements - conditions for taking the exam

None.

Examination

Individual oral exam

Individual oral exam based on the course curriculum and project work. Duration approx. 20-30 min. No supporting materials allowed. Grades: A - F.

Examiners

The exam is assessed by the course instructor and an internal or external examiner.

Conditions for resit/rescheduled exams

None.

Course evaluation

This course is evaluated by a

• Mid-term evaluation (compulsory)

The responsible for the course compiles a report based on the feedback from the students and his/her own experience with the course. The report is the discussed by the study quality committee of the faculty of Computer Sciences.

Literature

Last updated 13.12.2016. The readinglist may be subject to change before the semester starts.

1. IT for Green / Energy Informatics.
Bose, R., & Luo, X. (2011). Integrative framework for assessing firms' potential to undertake Green IT initiatives via virtualization-A theoretical perspective. The Journal of Strategic Information Systems, 20(1), 38-54.
Brooks, S., Wang, X., & Sarker, S. (2012). Unpacking green IS: a review of the existing literature and directions for the future. In Green Business Process Management (pp. 15-37). Springer Berlin Heidelberg.
Colomo-Palacios, R. (2015). IT for Green, a Global Perspective. Journal of Global Information Technology Management, 18(1), 1-5. http://dx.doi.org/10.1080/1097198X.2015.1017399
Faucheux, S., & Nicolaï, I. (2011). IT for green and green IT: A proposed typology of eco-innovation. Ecological Economics, 70(11), 2020-2027.
Gholami, R., Sulaiman, A. B., Ramayah, T., & Molla, A. (2013). Senior managers' perception on green information systems (IS) adoption and environmental performance: Results from a field survey. Information & Management, 50(7), 431-438.
Molla, A., & Abareshi, A. (2012). Organizational green motivations for information technology: empirical study. Journal of Computer Information Systems, 52(3), 92-102.
Murugesan, S. (2008). Harnessing green IT: Principles and practices. IT professional, 10(1), 24-33.
Naumann, S., Dick, M., Kern, E., & Johann, T. (2011). The greensoft model: A reference model for green and sustainable software and its engineering. Sustainable Computing: Informatics and Systems, 1(4), 294-304.
Watson, R. T., Boudreau, M. C., & Chen, A. J. (2010). Information systems and environmentally sustainable development: energy informatics and new directions for the IS community. MIS quarterly, 23-38.

2. Health IT.
Chatterjee, S., LeRouge, C. M., Chiarini Tremblay, M. (2013). Educating Students in Healthcare Information Technology: IS Community Barriers, Challenges, and Paths Forward. Communications of the Association for Information Systems, 33, Article 1.
Chiasson, M. W., & Davidson, E. (2004). Pushing the contextual envelope: developing and diffusing IS theory for health information systems research. Information and Organization, 14(3), 155-188.
Leviss, J., Kremsdorf, R., & Mohaideen, M. F. (2006). The CMIO-A new leader for health systems. Journal of the American Medical Informatics Association,13(5), 573-578.
Wager, K. A., Lee, F. W., & Glaser, J. P. (2013). Health care information systems: a practical approach for health care management. John Wiley & Sons.
Ward, R. (2013). The application of technology acceptance and diffusion of innovation models in healthcare informatics. Health Policy and Technology, 2(4), 222-228.
Wilson, E.V., & Tulu, B. (2010). The Rise of a Health-IT Academic Focus. Communications of the ACM, (53)5, 147-150.

3. Information Systems function in a Global world.
Campagnolo, G. M., Pollock, N., & Williams, R. (2015). Technology as we do not know it: The extended practice of global software development. Information and Organization, 25(3), 150-159.
Djavanshir, G. R. (2005). Surveying the risks and benefits of IT outsourcing. IT professional, 7(6), 32-37.
Elmuti, D. (2003). The perceived impact of outsourcing in organizational performance. Mid-American Journal of Business, 18(2),33-41.
Grover, V., Cheon, M. J., & Teng, J. T. (1996). The effect of service quality and partnership on the outsourcing of information systems functions. Journal of Management Information Systems, 89-116.
Hirschheim, R., & Dibbern, J. (2009). Outsourcing in a Global Economy: Traditional Information Technology Outsourcing, Offshore Outsourcing, and Business Process Outsourcing. In Information Systems Outsourcing (pp. 3-21). Springer Berlin Heidelberg.
Kendrick, R. (2009). Outsourcing IT: A Governance Guide. It Governance Ltd .
Marchewka, J. T., & Oruganti, S. (2014). A Combined Model of IT Outsourcing Partnerships and Success. Communications of the IIMA, 13(2), 6.
Niazi, M., Mahmood, S., Alshayeb, M., Qureshi, A. M., Faisal, K., & Cerpa, N. (2016). Toward successful project management in global software development. International Journal of Project Management, 34(8), 1553-1567.
Rainer, R.K., Prince, B., & Cegielski, C. (2014). Introduction to Information Systems, 5th Edition. John Wiley & Sons.
¿mite, D., Calefato, F., & Wohlin, C. (2015). Cost-Savings in Global Software Engineering: Where's the Evidence. IEEE Software, 32(4), 26-32.
Tungur, S. & Engwall, M. (2014). The business model dilemma of technology shifts. Technovation, 34 (9), 525-535.
Vandermerwe, S., & Rada, J. (1989). Servitization of business: adding value by adding services. European Management Journal, 6(4), 314-324.

4. IT /Business Alignment.
Chan, Y. E., & Reich (2007). IT alignment: What have we learned? Journal of Information Technology, 22(4), 297-315.
Henderson, J. C., & Venkatraman, N. (1993). Strategic Alignment: A Model for Organizational Transformation through Information Technology. IBM Systems Journal, 32 (1), 4-16.
Khaiata, M. & Zualkernan, I.M. (2009) A Simple Instrument to Measure IT-Business Alignment Maturity, Information Systems Management, 26(2), 138-152.
Luftman, J. N. (2004). Managing the Information Technology Resources. New Jersey: Pearson Prentice Hall.
Luftman, J. (2000). Assessing business-IT alignment maturity. Communications of AIS, Volume 4, Article 14.
Luftman, J. and Brier, T., (1999) 'Achieving and Sustaining Business-IT Alignment,' California Management Review, No. 1, Fall 1999, pp 109-122.
Tallon, P., & Kraemer, K. (2007). Fact or fiction? A sense making perspective on the reality behind executives' perceptions of IT business value. Journal of Management Information Systems, 24(1), 13-54
Ullah, A., & Lai, R. (2013). A Systematic Review of Business and Information Technology Alignment. ACM Transactions on Management Information Systems, Vol. 4, No. 1, Article 4.

5. IT Governance.
Calder, A. (2005). 'IT Governance - Guidelines for Directors'. IT Governance Ltd.
Calder, A. (2009). 'IT Governance Implementing Frameworks and Standards for the Corporate Governance of IT'. IT Governance Ltd.
Juiz, C., & Toomey, M. (2015). To govern IT, or not to govern IT?. Communications of the ACM, 58(2), 58-64.
Peterson, R. R. (2003). Information strategies and tactics for Information Technology governance. In W. Van Grembergen (Ed.), Strategies for Information Technology Governance. Hershey, PA: Idea Group Publishing.
Van Grembergen W., (2002). 'Introduction to the minitrack IT Governance and its Mechansims' Proceedings of the 35th Hawaii International Conference on System Sciences (HICSS).
Weill, P. (2004) 'Don't Just Lead Govern: How Top-Performing Firms Govern IT', MIS Quarterly Executive (3)1, pp. 1-17.

6. New Trends in Business Software.
Bosch, J. (2009). From software product lines to software ecosystems. In Proceedings of the 13th International Software Product Line Conference (pp. 111-119). Carnegie Mellon University.
Bosch, J. (2011). Software Ecosystems--Implications for Strategy, Business Model and Architecture. In Software Product Line Conference (SPLC), 2011 15th International (pp. 351-351). IEEE.
Debois, P. (2011). Devops: A software revolution in the making. Journal of Information Technology Management, 24(8), 3-39.
Fitzgerald, B., & Stol, K. J. (2015). Continuous software engineering: A roadmap and agenda. Journal of Systems and Software.
Heredia, A., & Colomo-Palacios, R. (2015). Software Business Models from a distribution perspective: A Systematic Mapping Study. Unpublished.
Hohmann, L. (2003). Beyond Software Architecture: Creating and Sustaining Winning Solutions. Addison-Wesley Longman  publishing Co., Inc., Boston, MA, USA, 2003. ISBN 0201775948.
Jadhav, A. S., & Sonar, R. M. (2011). Framework for evaluation and selection of the software packages: A hybrid knowledge based system approach. Journal of Systems and Software, 84(8), 1394-1407.
Jansen, S., Finkelstein, A., & Brinkkemper, S. (2009, May). A sense of community: A research agenda for software ecosystems. In Software Engineering-Companion Volume, 2009. ICSE-Companion 2009. 31st International Conference on (pp. 187-190). IEEE.
Lassenius, C. (2014). Software Business: Towards Continuous Value Delivery; 5th International Conference, ICSOB 2014, Paphos, Cyprus, June 16-18, 2014; Proceedings (Vol. 182). Springer.
Lin, H. Y., Hsu, P. Y., & Sheen, G. J. (2007). A fuzzy-based decision-making procedure for data warehouse system selection. Expert systems with applications, 32(3), 939-953.
Luoma, E., & Rönkkö, M. (2012). Software-as-a-Service business models. Commun Cloud Softw, 1(1).
Manikas, K., & Hansen, K. M. (2013). Software ecosystems-a systematic literature review. Journal of Systems and Software, 86(5), 1294-1306.
Popp, K. M. (2011). Software Industry Business Models. IEEE Software, 28(4), 26-30.
Roche, J. (2013). Adopting DevOps practices in quality assurance. Communications of the ACM, 56(11), 38-43.
Rodríguez, P., Haghighatkhah, A., Lwakatare, L. E., Teppola, S., Suomalainen, T., Eskeli, J., & Oivo, M. (2017). Continuous deployment of software intensive products and services: A systematic mapping study. Journal of Systems and Software, 123, 263-291.
Serebrenik, A., & Mens, T. (2015, September). Challenges in Software Ecosystems Research. In Proceedings of the 2015 European Conference on Software Architecture Workshops (p. 40). ACM.
Thönes, J. (2015). Microservices. IEEE Software, 32(1), 116-116.

7. Software Development Processes: Improvement & Capability
Chrissis, M. B., Konrad, M., & Shrum, S. (2011). CMMI for development: guidelines for process integration and product improvement. Pearson Education.
Calvo-Manzano, J. A., Cuevas Agustín, G., San Feliu Gilabert, T., De Amescua Seco, A. , García Sánchez, L. & Pérez Cota, M. (2002). Experiences in the application of software process improvement in SMES. Software Quality Journal, 10(3), 261-273.
Cugola, G., & Ghezzi, C. (1998). Software Processes: a Retrospective and a Path to the Future. Software Process: Improvement and Practice, 4(3), 101-123.
Dybå, T. (2005). An empirical investigation of the key factors for success in software process improvement. Software Engineering, IEEE Transactions on,31(5), 410-424.
Falessi, D., Shaw, M., & Mullen, K. (2014). Achieving and Maintaining CMMI Maturity Level 5 in a Small Organization. Software, IEEE, 31(5), 80-86.
Habra, N., Alexandre, S., Desharnais, J. M., Laporte, C. Y., & Renault, A. (2008). Initiating software process improvement in very small enterprises: Experience with a light assessment tool. Information and software technology,50(7), 763-771.
Humphrey, W. S. (1997). Introduction to the personal software process. Addison-Wesley Professional.
Humphrey, W. S. (2000). Introduction to the team software process. Addison-Wesley Professional.
Larrucea, X., O'Connor, R.V., Colomo-Palacios, R., & Laporte, C.Y. (2016). Software Process Improvement in Very Small Organizations. IEEE Software, 33(2), 85-89. http://dx.doi.org/10.1109/MS.2016.42
Oktaba, H., García, F., Piattini, M., Ruiz, F., Pino, F. J., & Alquicira, C. (2007). Software process improvement: The COMPETISOFT project. IEEE Computer, (10), 21-28.
Unterkalmsteiner, M., Gorschek, T., Cheng, C. K., Permadi, R. B., & Feldt, R. (2012). Evaluation and measurement of software process improvement-a systematic literature review. Software Engineering, IEEE Transactions on,38(2), 398-424.

8. Big Data Acquisition, Storage, Analysis & Visualization. An information systems perspective.
Boyd, D., & Crawford, K. (2012). Critical questions for big data: Provocations for a cultural, technological, and scholarly phenomenon. Information, communication & society, 15(5), 662-679.
Chen, M., Mao, S., & Liu, Y. (2014). Big data: a survey. Mobile Networks and Applications, 19(2), 171-209.
Chen, C. P., & Zhang, C. Y. (2014). Data-intensive applications, challenges, techniques and technologies: A survey on Big Data. Information Sciences, 275, 314-347.
Davenport, T. H., Barth, P., & Bean, R. (2012). How big data is different. MIT Sloan Management Review, 54(1), 43.
Erl, T., Khattak, W., & Buhler, P. (2015). Big Data Fundamentals: Concepts, Drivers & Techniques. Prentice Hall.
J. Fürnkranz et al., (2012) Foundations of Rule Learning, Cognitive Technologies, Springer-Verlag Berlin Heidelberg.
Jorgensen, A., Rowland-Jones, J., Welch, J., Clark, D., Price, C., & Mitchell, B. (2014). Microsoft Big Data Solutions. John Wiley & Sons.
Wu, X., Zhu, X., Wu, G. Q., & Ding, W. (2014). Data mining with big data. IEEE transactions on knowledge and data engineering, 26(1), 97-107.