Game Model: An Innovative Approach for Optimizing Competitive Efficiency of Commercial Airlines in Rivers State

This study seeks to innovatively apply game model algorithm in optimizing strategic performance among the competing commercial airline firms in Rivers State. The objective of the study was to innovative apply game approach in obtaining optimal strategy among strategic option in the competitive industry. This study was necessitated as a result of the conflicting interests arising from 8 (eight) operating firms, in their strategic option to gain competitive dominance over each other. The study adopted a correlation design method with the aid of structured questionnaire as primary source of date for the study. Question items were drawn from 3 (three) research questions stated in the study. The population size was 8 firms, while the sample size was 72. The proportional sampling technique was used to select 9 staff which consisted of managers, and senior staff from each firm. Spearman correlation coefficient was used to analyze responses from respondents. Findings revealed that, among the least predictor variables measured, it was positively significant at the sign 0.61 (p) ≥ 0.00. It was indicative to conclude that, variable of the game measured provided a positive saddle point as optimal strategy in favor of row players. The outcome was suggestive amongst recommendations, that managers of commercial airlines should subject their competitive strategy to game analyses in order to maximally optimize dominance in the industry.