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Social media as advertising medium for hotel guest at luxury hotels in City of Manila / Del Carlo B. Antolin, Paulo Angelo Ba as, Kristian Ericsson I. Catli, Areeya Jane C. Espino, Nichelle N. Ibano, Janica L. Mariano and Prinz Willis S. Villaruel. 6

By: Antolin, Del Carlo B. Ba as, Paulo Angelo Catli, Kristian Ericsson I. Espino, Areeya Jane C. Ibano, Nichelle N. Mariano, Janica L. Villaruel, Prinz Willis S. 4 0 16, [, ] | [, ] |

Contributor(s): 5 6 [] |

Language: Unknown language code Summary language: Unknown language code Original language: Unknown language code Series: ; February 2014.46Edition: Description: 28cm. xi, 70pContent type: text Media type: unmediated Carrier type: volumeISBN: ISSN: 2Other title: 6 []Uniform titles: | | Related works: 1 40 6 []Subject(s): -- 2 -- 0 -- -- | -- 2 -- 0 -- 6 -- | 2 0 -- | -- -- 20 -- | | -- -- -- -- 20 -- | -- -- -- 20 -- --Genre/Form: -- 2 -- Additional physical formats: DDC classification: | LOC classification: | | 2Other classification:

Contents:

Action note: In: Summary: A study focusing on social media as an advertising medium for guests of luxury hotels within the City of Manila was originally conducted to answer and to provide supporting ideas if this social media advertisement has a significant role for a guest's solidity purchasing intentions. A study trying to figure if the hotel's products, promotions, services and public relations are associated with a hotel having an effective social media advertisement. In order to gather the needed data, the researchers conducted a survey with the questionnaires sent through the guests' social media accounts. Every answer is then tallied by the researcher's Google account. With the study having to take note of products, promotions, services, and public relations as its variables, ANOVA one way was used to compute for the output of the survey. Through ANOVA, the researchers came up with the final computed output being greater than the final tabular output which meant that the study's null hypotheses were rejected. After completing all the final output, and discussing the results of the survey and computations, only then were the recommendations formulated. Other editions:

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Item type	Current location	Home library	Collection	Call number	Status	Date due	Barcode	Item holds
Book	PLM	PLM Filipiniana Section	Filipiniana-Thesis	G155 A58 2014 (Browse shelf)	Available		FT5590

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Previous	G155 A44 2016 Determining the effective rubrics in the development of a Department Specific CV for hospitality practitioners /	G155 A46 2014 Leisure travelers profile and satisfaction on service quality of selected luxury hotels in Manila /	G155 A54 2013 Chips N Dips /	G155 A58 2014 Social media as advertising medium for hotel guest at luxury hotels in City of Manila /	G155 A59 2015 Level of competitiveness of the PLM BSTTM Graduates in skills-based industry /	G155 A73 2015 Level of satisfaction of PLM Hotel and Hospitality Management Student to the Current Status of College of Tourism, Hotel and Travel Industry Management Laboratory /	G155 A73 2016 Perception of foreign tourists: basis for Binondo as a new food tourism destination /	Next

Undergraduate Thesis: (B.S. Hotel and Hospitality Management) - Pamantasan ng Lungsod ng Maynila 2014. 56

A study focusing on social media as an advertising medium for guests of luxury hotels within the City of Manila was originally conducted to answer and to provide supporting ideas if this social media advertisement has a significant role for a guest's solidity purchasing intentions. A study trying to figure if the hotel's products, promotions, services and public relations are associated with a hotel having an effective social media advertisement. In order to gather the needed data, the researchers conducted a survey with the questionnaires sent through the guests' social media accounts. Every answer is then tallied by the researcher's Google account. With the study having to take note of products, promotions, services, and public relations as its variables, ANOVA one way was used to compute for the output of the survey. Through ANOVA, the researchers came up with the final computed output being greater than the final tabular output which meant that the study's null hypotheses were rejected. After completing all the final output, and discussing the results of the survey and computations, only then were the recommendations formulated.

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