• Explain and apply the concepts and theories on the service sectors presented through the course
• Discuss and analyse the structure and development of specific service sectors presented in the course
• Explain and discuss reports and documents about services using concepts and theories presented in the course, together with the knowledge on statistical data
• Provide an adequate structure and design for a research project
• Explain and apply statistical measurements, and select data sources
• Demonstrate a basic use of information technologies to design and present statistical data in the form of tables and other graphical representations

This course provides students with the methodological tools and conceptual frameworks to analyze and manage descriptive statistical data and information on the economic development of services with special focus on one of the following fields: (1) tourism and hospitality, (2) culture and arts, and (3) service innovation.

The course content has two main elements. The largest part of the course presents key concepts and foundations of one of the following fields: (1) tourism and hospitality, (2) arts and culture, and (3) service innovation. Each field represents the study focus for one of the three specializations in the SEM program. The course provides a succinct yet comprehensive introduction to each specialization and field of study, by giving a general overview of service industries and their development. Also, the course discusses the importance of services in the context of each field of study (see 1, 2, 3 above) and critically examines the different statistical data sources which can be used for descriptive research methods. 

The second element of the course consists of a brief introduction to problem formulation, project structure, and explains the fundamentals of descriptive statistics and data management. This part includes the management of statistical data and the design and analysis of tables and graphical representations. Moreover the course illustrates the use of information technologies for descriptive statistics. 

1. Holden, J, 2008, Democratic Culture, www.demos.co.uk
2. Dewey, P., 2003, From Arts Management to Cultural Administration, Occasional Paper #27
3. Cray, D., Inglis, L. & Freeman, S., 2007, Managing the Arts: Leadership and Decision Making under Dual Rationalities, The Journal of Arts Management, Law, and Society, 36:4, 295-313
4. Danto, A., 1964, the Artworld, Journal of Philosophy 61(19): 571-584
5. Harrington, A., 2004, Art and Social Theory, Polity, pp. 9 – 31 (master copies available in class)
6. Jenkins, H. & Bertozzi, V., 2008, in Engaging Art The Next Great Transformation of America’s Cultural Life, Tepper, S.J. & Ivey, B. (Eds.), Routledge, pp. 171-195 (master copies available in class)
7. Hugson, J. & Inglis, D., 2001, ‘Creative Industries’ and the arts in Britain: Towards a Third Way in Cultural Policy?, International Journal of Cultural Policy, vol. 7 pp. 457 – 478
8. Friis Møller, S., From Disinterestedness to Engagement: Towards Relational Leadership in the Cultural Sector, pp. 128 – 133
9. Hewison, R., 2006, Demos, Not a Sideshow: Leadership and Cultural Value – A Matrix for Change  
10. DiMaggio, P. & Mukhtar, T., 2004, Arts participation as cultural capital in the United States, 1982:2002: Signs of decline?, Poetics 32, pp. 169 - 194

Statistics:
Alan Agresti, A.& Franklin, C. (2012) ŒStatistics.
The Art and Science of learning from Data¹, Pearson Prentice Hall.

Please note, minor changes may occur. The teacher will upload the final reading list to LEARN two weeks before the course starts.