Counter-strike players' network gaming center preference.
A new phenomenon that has been flooding the consumer industry these past years is the rising of network games specifically Counter-Strike. There is a need to study the factors affecting consumer decision-making from the perspective of the marketing application in order to relate to influential facto...
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| Main Authors: | , |
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| Format: | text |
| Language: | English |
| Published: |
Animo Repository
2002
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| Subjects: | |
| Online Access: | https://animorepository.dlsu.edu.ph/etd_bachelors/10189 |
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| Institution: | De La Salle University |
| Language: | English |
| Summary: | A new phenomenon that has been flooding the consumer industry these past years is the rising of network games specifically Counter-Strike. There is a need to study the factors affecting consumer decision-making from the perspective of the marketing application in order to relate to influential factors in Network Gaming Center preference. A descriptive study was pursued to describe what constitutes consumers' decision-making in their patronizing behavior regarding purchase, use and disposal of products and services. Purposive sampling was done to obtain the respondents: 69 Counter-Strike players who were categorized according to frequency and duration of the purchase, use and disposal of Counter-Strike as a network game. The study employed survey questionnaire measuring the factors involving the consumption of Counter-Strike in a Network Gaming Center. The study focused on seven (7) specific influential factors: accessibility, crowd, design, mood, price. PC quality, and temperature. Raw scores were computed and quantitatively analyzed. Results show that Counter-Strike players are mostly externally influenced. The researchers also found out that the seven (7) influential factors could be hierarchically measured - PC quality, price, accessibility, crowd, mood, temperature, and design. Within the seven (7) influential factors and the other significant factors given by the Counter-Strike players, a typical Counter-Strike player was concluded. A new model was constructed to specifically and firmly anchor the results that the researchers have gathered. |
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