The study deals with the effect of smartphone on marketing tourism. The sample of the study deals with 400 tourists in three different regions .. quantitative or qualitative approach?
Hello,
my personal preference lies in quantitative approach preferably experimental design where You can compare group of participants that are using a certain mobile app (maybe You want to find out whether easily accessible information on the phone can lead to higher satisfaction with the tourism destination) and control group (without the app).
Since it is not clear what Your research goal is it is hard to provide a more precise answer. If You choose for correlational study (instead of experimental one) to investigate how do some factors related with mobile usage (time spent surfing on mobile phone, brand of a mobile phone, age of mobile phone etc.) are affecting touristic experience (measured as satisfaction with the destination, intentions for re-visit, money spent in the destination etc.) then You will probably use some kind of structural equation modeling or path analysis.
Although I have not offered a specific advice on how to setup Your study (since I lack information about it) I hope this help in any way.
Best, Matia
experimental research design for functional level
qualitative for infra marketing structure
Better to go for Quantitative approach and try to use probability sampling method so that result will be more generated.
Prima facie, the quantitative technique is appropriate in your case. The sample of 400 using survey would definitely can be analyzed through Amos or SmartPls which are prevailing techniques in tourism research.
experimental research design for functional level
qualitative for infra marketing structure
The most appropriate methodology as looking at your sample size is quantitative techniques. Because, qualitative studies do not require such large sample size. I recommend to go with structural equation modelling, specially PLS for such studies.
Thank you all for your interest. most of you agreed that quantitative it is the most appropriate for the data of my studies. Upon my return to some previous studies, I also confirm that the most appropriate quantitative.
There are a number of approaches used in this research method design. It depends on the nature of the research. You may utilize a well-structured questionnaire, a semi-structured questionnaire, or the interview.
You may employ a descriptive or qualitative research design.
I am going to start with qualitative research. It is all too easy to go out and "count" without any idea of what you are interested. We get caught up with acceptable statistical levels and F tests before we know anything about the population or the subject. I am not rejecting the eventual application of a well designed quantitative study.
It is amazing how much can be learned about a subject before throwing questionnaires at a sample. Focus groups are one possible approach although there are more informal ways of gathering what was once called base-line information and I stress information not DATA.
I am certainly am a strong supporter of quantitative research but go back to how I learned about undertaking research: observation, informal questioning and well you know where this is going including examining the methods applied by others in similar research. I know all of this is out of the context of the past decades, so be it.
Dear Mahmoud Alghizzawi and colleagues,
Once that seems that you are looking for the effect of the use of smartphones on marketing tourism, I would suggest a research design based on quantitative techniques. You are looking for a relationship and seems to have what can be independent and dependent variables. So, a quantitative research design sounds better. However, in order to figure out what could be the best choice, I suggest you read the paper "Smartphones in Tourism and Hospitality Marketing: A Literature Review", written by Hyun Kim & Rob Law, and published at Journal of Travel & Tourism Marketing, Volume 32, 2015 - Issue 6, pages 692-711.
All the best, and good research,
Francisco Vieira
Dear Francisco Giovanni David Vieira ,
Thank you for your scientific contribution and I will view this paper.
Dear Mahfuz Judeh ,
Thank you for your scientific point of view, but I think the interview will be somewhat difficult because they are tourists and in the rest period, not everyone accepts that.
Using mixed methods provids complementary information. You get more information even though quantitative method sweets, you can complet with qualitative as there are some aspects that can not be measured by number.
Dear Ronald Savitt
Thank you for your scientific contribution, which contains valuable information.
Pl ref. for some insights...
Hair, J. F., Celsi, M., Ortinau, D. J., & Bush, R. P. (2008). Essentials of marketing research. New York, NY: McGraw-Hill/Higher Education.
Chicago
Burns, A. C., Bush, R. F., & Sinha, N. (2014). Marketing research (Vol. 7). Harlow: Pearson.
Malhotra, N. K., & Malhotra, N. K. (2012). Basic marketing research: Integration of social media. Boston: Pearson.
Gray, D. E. (2019). Doing research in the business world. Sage Publications Limited.
Davis, D. F., Golicic, S. L., & Boerstler, C. N. (2011). Benefits and challenges of conducting multiple methods research in marketing. Journal of the academy of marketing science, 39(3), 467-479.
Hey Mahmoud Alghizzawi and D A Gayan Nayanajith
Why do not answer only one time? I mean, why do not answer informing all the references considered relevant in one only answer or post? This kind of answer above sounds like a fraud to ResearchGate or like a bad joke.
Sincerely,
Francisco Vieira
Yes, but I think the study sample has the biggest influence Mohamed Fawzi Afifi
Regards
In my view, I find the mixed methods it complicated, but its more accurate with output.
thanks Haji Saediman
Dear Francisco Giovanni David Vieira
Sorry I see your point but the aim is make the answers clearer and more detailed, not to defraud as you think.
Best wishes
Mega sense research
Infra experimental for maturity society research &experimental for UN maturity society research.
Azar Kaffashpoor Ahmed Abdullah Amanah Thanks for your contribution in this discussion
It depends on the purpose of study, availability of participants and the researcher. As for your description of your study, quantitative may be more suitable.
