Please use this identifier to cite or link to this item: https://www.um.edu.mt/library/oar/handle/123456789/50424
Title: An analysis : traditional data collection methods vs digitally included methods in the tourism industry
Authors: Borg, Tyrone
Keywords: Tourism -- Malta
Big data -- Malta
Decision making -- Malta
Issue Date: 2018
Citation: Borg, T. (2018). An analysis: traditional data collection methods vs digitally included methods in the tourism industry (Bachelor's dissertation).
Abstract: Data is an ever-evolving concept, regarding the capture and analysis of datasets. This data can then serve as the basis of information and even decision making. Individuals and organisations are subjects to these decision, therefore, it is crucial to capture and collect the right data. Throughout this dissertation, various aspects of data have been tackled, within relevance of the tourism industry. This industry was highlighted as it serves as one of the pillars for the success of the Maltese economy. Therefore, the overall aim of this dissertation is to explore and compare the traditional and digital aspects of data, such as surveys, questioners, interviews and big data, within the tourism industry. An exploratory and comparative research took place to gather insight on the different data collection methods, in which it resulted that both methods offer different and important perspectives to the tourism industry. It is therefore crucial to use both methods in the industry, to be able and achieve better results relevant to the growing national tourism industry.
Description: B.SC.BUS.&I.T.
URI: https://www.um.edu.mt/library/oar/handle/123456789/50424
Appears in Collections:Dissertations - FacEma - 2018
Dissertations - FacEMAMAn - 2018

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