NEW COMMUNICATION TECHNOLOGIES

Course Description

Focusing primarily on the internet and digital cultures, this course will explore the theoretical and practical debates that have developed around the concept of ‘new media’. Topics to be studied include interactivity, social networking, media convergence, cyberculture and the emergence of ‘web 2.0’. Are these developments anticipated by pre-existing studies of communication practice, or are new theoretical models required to understand them?

NEW COMMUNICATION TECHNOLOGIES

Evaluation Tools (Active Term)

No evaluation items have been defined.

Course outcomes

1. 01 1. Acquire a systematic knowledge of the historical development of new media and related technologies
2. 02 2. Develop an understanding of the major theoretical approaches to the study of new media
3. 03 3. Demonstrate critical and interpretative skills in the analysis of academic literature.
4. 04 4. Demonstrate the ability to communicate critical ideas in writing and in class discussion
5. 05 5. Carry out independent and original research based on appropriate research questions, using and evaluating a range of material in order to arrive at conclusions

Course Syllabus

Reference Books & Course Materials

1. 01 Course reader (PDF documents on Moodle)
2. 02 Lister, M. and Dovey, J. (2009). New Media: A Critical Introduction. London: Routledge.
3. 03 Glen Creeber and Royston Martin (eds), Digital Culture: Understanding New Media (London: Open University Press, 2008).

Learning Outcomes

No learning outcomes have been defined.

Program Outcomes

1. Demonstrate mastery of advanced research methodologies (quantitative, qualitative, and mixed methods) by critically analyzing literature, identifying research gaps, and designing original studies that contribute to MIS theory and practice.
2. Conduct and defend an original doctoral dissertation that reflects independent scholarly inquiry, academic rigor, and a significant contribution to the advancement of knowledge in MIS.
3. Exhibit readiness for thesis monitoring and defense by articulating the philosophical foundations of research paradigms, positioning one's research within these frameworks, and responding to scholarly critique.
4. Apply ethical principles, academic integrity, and responsible conduct of research in all phases of the research process, including data collection, analysis, reporting, and publication.
5. Identify and address the social, legal, and ethical implications of information systems research and its applications within organizational and societal contexts.
6. Employ advanced data science techniques, including statistical modeling, machine learning, and AI-based analytics, to examine complex datasets and extract meaningful insights in MIS research.
7. Recognize and evaluate emerging technologies such as artificial intelligence, big data, blockchain, and the Internet of Things, assessing their transformative impact on organizational processes and digital ecosystems.
8. Collaborate and lead in interdisciplinary research environments, establishing productive scientific partnerships and managing research projects that integrate diverse academic perspectives.
9. Publish high-quality research in peer-reviewed journals, present findings at international conferences, and actively engage in academic service such as journal reviewing, conference organizing, and committee participation.
10. Identify challenges and propose innovative, research-based solutions at the intersection of information systems, technology, and organizational strategy.
11. Deliver advanced-level MIS courses, supervise graduate research, and nurture academic development through effective mentorship and scholarly teaching.
12. Develop advanced information systems and decision support systems that align IT capabilities with organizational strategies using systems thinking and innovative design methodologies.

Po-Lo Matrix

The PO-LO matrix has not been populated yet.