• Ei tuloksia

5. CONCLUSION AND DISCUSSION

5.4 Limitations and Future Research

The limitations that may have affected this research lie primarily in the number of interviews carried out as well as the diversity of the sample.

Due to time and budget limitations, the sample size for this study was 15 participants.

However, it is not uncommon for laddering analyses to have small samples sizes, solely based on the amount of work that goes into conducting the interviews, transcribing the data and analyzing it.

For a more comprehensive look at Americans’ values in selecting a degree of higher education, a larger sample size would be ideal. Also, assuming that representatives from a wide array of background including religion, race, ethnicity, and socio-economic status, among others, are to be considered, a more deliberate sample selection would also enhance insights of future research.

Additionally, while extensive research was done prior to conducting interviews on the best practices of laddering, because the interviews were not carried out by a non-partial party to the research, there is a risk of interviewees being led in certain directions and toward certain conclusions.

Future research on American values and how they affect higher education choice should include a larger pool of participants. Based on the needs of the research (that is, the main research problem and/or specific research questions) the researcher may target a more specific group of participants. For example, the researcher may decide to only interview undergraduates in their final year of studies, or recent graduates who have already made the decision to enrol in a degree of higher education. Furthermore, the researcher may find that a certain demographic of participant is more applicable to the results they wish to seek.

This all depends on the specificity of the research questions sought.

Lastly, future research can build on this study in taking the specificity of the research problem one or even two steps further, to focus on Finland as a destination country and the Lappeenranta University of Technology as the destination institution.

REFERENCES

Belyavina, R., Ling, J., & Bhandari, R. (2013) New Frontiers: U.S. Students Pursuing Degrees Abroad, ​Institute of International Education.

Burr, V., King, N., & Butt, T. (2014) Personal construct psychology methods for qualitative research, International Journal of Social Research Methodology, Vol. 17, No. 4, pp.

341–355

Caldwell, N. & Coshall, J. (2002), Measuring brand associations for museums and galleries using repertory grid analysis, Management Decision, Vol. 40, Iss. 4, pp. 383–392.

Chapman, D.W. (1981) A Model of Student College Choice. ​The Journal of Higher Education​, Vol 52, No 5, pp. 490–505

Council of Graduate Schools and Educational Testing Service (2010) The Path Forward:

The Future of Graduate Education in the United States. Report from the Commission on the Future of Graduate Education in the United States. Princeton, NJ: Educational Testing Service.

Dobrowolski, P., Pochwatko, G., Skorko, M., & Bieleck, M. (2014) The Effects of Virtual Experience on Attitudes Toward Real Brands, ​Cyberpsychology, Behavior, and Social Networking​, Vol. 17, No. 2

Easterby-Smith, M. (1980) The design, analysis and interpretation of repertory grids, Academic Press Inc., London, pp. 3–24.

Embacher, J. & Buttle, F. (1989) A Repertory Grid Analysis Of Austria's Image As A Summer Vacation Destination, Journal of Travel Research.

Gutman, J. (1982) A Means-End Chain Model Based on Consumer Categorization Processes, ​Journal of Marketing​, Vol 46, pp. 60–72

Han, P. (2014) A Literature Review on College Choice and Marketing Strategies for Recruitment. ​Family and Consumer Sciences Research Journal​, Vol 43, No 2, pp. 120–130

Hemsley-Brown J. & Oplatka, I. (2006) “Universities in a competitive global marketplace: a systematic review of the literature on higher education marketing” ​International Journal of Public Sector Management, ​Vol 19, No 4, pp. 316–338.

Hemsley-Brown, J. & Oplatka, I. (2015),"University choice: what do we know, what don’t we know and what do we still need to find out?", ​International Journal of Educational Management​, Vol 29, Iss 3, pp. 254–274.

Ho, T.H., Lim, N., & Camerer, C.F. (2006) Modeling the Psychology of Consumer and Firm Behavior with Behavioral Economics.

Holbrook, Morris B. (1998) Consumer Value: A framework for analysis and research.

Immerwahr, J. (2004) Public Attitudes on Higher Education: A Trend Analysis, 1993 to 2003. Public Agenda for The National Center for Public Policy and Higher Education.

Kelly, G.A. (1955) The Psychology of Personal Constructs, New York: Norton.

LUT (2015) LUT Experts [www document] Accessed 12.03.2015 Available at http://www.lut.fi/web/en/cooperation-and-services/for-the-media/lut-experts#international-hu b-of-russian-relations

Marketing Science Institute (2016) “Research Priorities 2016-2018.” Cambridge, Mass.:

Marketing Science Institute.

Marketing Science Institute (2006) “Research Priorities 2006-2008.” Cambridge, Mass.:

Marketing Science Institute.

Malhotra, N. (2006) ​Pesquisa de marketing: uma orientação aplicada​. Porto Alegre:

Bookman.

Maslow, A. H. (1943) A Theory of Human Motivation, Psychological Review, 50(4), pp.

370​–​396.

Maslow, A. H. (1954) Motivation and Personality, New York: Harper & Row, Publishers, Inc.

Page, M. (2011) A changing landscape, EFMD Masters Conference​​[PowerPoint slides].

Petty, R.E., & Wegener, D.T. (1998) Attitude Change: Multiple Roles for Persuasion Variables, The handbook of social psychology, pp. 323–390.

Phillips, J.M., & Reynolds, T.J. (2009) A hard look at hard laddering: A comparison of studies examining the hierarchical structure of means-end theory, Qualitative Market Research, pp. 83-99.

Pieters, R., Baumgartner, H., & Allen, D. (1995) A means-end chain approach to consumers' goal structures. International Journal of Research in Marketing, 12(3), pp.

227-244.

Pike, S. (2012) Destination positioning opportunities using personal values elicited through the Repertory Test and Laddering Analysis, Tourism Management, 33: pp. 100-107.

Reynolds, T.J. & Phillips, J. (2010) A Review and Comparative Analysis of Laddering Research Methods: Recommendations for Quality Metrics,​Review of Marketing Research , (ed.) N. Malhotra, pp. 130-174.

Reynolds, T.J. & Whitlark, D.B. (1995) Applying Laddering Data to Communications Strategy and Advertising Practice. ​Journal of Advertising Research​, pp. 9–17.

Reynolds, T.J. (1995) Laddering: extending the repertory grid methodology to construct attribute-consequence-value hierarchies. ​Journal of Advertising Research, 35, pp. 155-167.

Reynolds, T.J. & Gutman, J. (1988) Laddering Theory, Method, Analysis, and Interpretation. ​Journal of Advertising Research​, pp. 11–31.

Saaka, A., Sidon, C., & Blake, B.F. (2004) Laddering: A “How to Do It” Manual – with a Note of Caution, ​Research Reports in Consumer Behavior.

Saaty, T.L. (2008) ‘Decision making with the analytic hierarchy process’, Int. J. Services Sciences, Vol. 1, No. 1, pp. 83–98.

Schwarz, N. (2004) Metacognitive Experiences in Consumer Judgment and Decision Making, Journal of Consumer Psychology, 14(4), 332–348, Lawrence Erlbaum Associates, Inc.

Solomon, M., Bamossy, G, & Askegaard, S. (2002) Consumer Behaviour: A European Perspective. Pearson Education Limited. 2nd ed., Essex.

Solomon, M.R. (1996) Consumer Behavior: Buying, Having, And Being. Prentice-Hall International, Inc., 3rd ed., New Jersey.

Thompson, A. (2009) Interpreting Kahle’s List of Values: Being Respected, Security, and Self-Fulfillment in Context, ​UW-L Journal of Undergraduate Research.

APPENDICES