使用serval模型评估感知服务质量:巴基斯坦国际航空公司(PIA)机上接待的案例研究

Manzoor Ali Brohi, Aftab A. Shaikh
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引用次数: 1

摘要

服务行业在全球范围内迅速发展,最新和复杂的工具和策略,以满足他们的最终客户。提供卓越的服务是航空公司生存的命脉,航空公司的飞行中操作是整个服务遇到的最关键的部分。因此,本研究通过SERVQUAL的5个主要维度(以30个服务属性为例),量化和权衡巴基斯坦国际航空公司客户在航班运营期间对感知服务质量和期望服务质量的期望。本研究的主要目的是找出感知服务质量与期望服务质量之间的差距。本研究是定量的,采用因子分析和单样本t检验对数据进行分析,并采用封闭式问卷调查的方式收集120名在过去12个月内至少一次通过PIA的乘客的样本数据。根据因子分析结果,30个变量中保留或提取了8个成分;各变量与各成分均具有较高的相关性,因子分析测量的总体相关系数为0.804,在实践中表现优异。根据KMO和Bartlett的测试,采样精度保持在。857,这是一个很好的测量。除此之外,一个样本T检验表明,可变保证得分2.88平均平均感知3.0平均平均期望触及期望,但不达到期望的质量水平。然而,其他变量如反应性、同理心、可靠性和有形性得分分别为2.78、2.67、2.67和2.64。平均差差(P-E)显示变量保证显示低水平的差距-0.12。然而,这并不能填补平均平均期望最低3.0的质量缺口。本研究在其他变量上显示出巨大的服务差距,反应性为-0.22,共情为-0.33,信度为-0.33,有形性为-0.35。我们深深感受到这项研究的必要性,因为有少数乘客更喜欢巴基斯坦国际航空公司的服务。由于服务策略不佳、设施不足和缺乏对乘客的机上接待措施,巴航的服务质量正在下降;因此,本研究将有助于关键决策者识别需要改进的领域,并采取必要的补救措施。
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Assessment of perceived service quality using servqual mod-el: a case study of Pakistan international airline (PIA) in-flight hospitality
The service industry is rapidly growing worldwide with latest and sophisticated tools and strategies for satisfaction of their ultimate customers. Provision of an exceptional service is the lifeblood of airline survival, with the airline’s mid-flight operations being the most crucial fragment of the whole service encounter. This study hence quantifies and weighs the perceived service quality against the desired service quality expected by the customers of Pakistan International Airlines during flight operations, through the 5 main dimensions of SERVQUAL exemplified by the 30 service attributes. The main objective of this study is to find out gap between perceived service quality and expected service quality.This research is quantitative in nature, Factor Analysis and one sample T-Test were used for analysis of data and close-ended questionnaires were used to collect the data from sample of 120 passengers who travelled through PIA at least once is last 12 months. According to the results shown by the Factor Analysis, 8 components were retained or extracted out of 30 variables; all the variables have high correlation with components as overall correlation measured by Factor Analysis is 0.804 which is excellent in the practice. According to KMO and Bartlett’s test, the sampling accuracy remained .857 which is quite good measurement. In addition to that, one sample T- test shows that variable Assurance scores 2.88 average mean perception out of 3.0 average mean expectation touches the expectations but not up to desire level of quality. However, other variables like responsiveness, Empathy, Reliability and Tangibility score 2.78, 2.67, 2.67, and 2.64 respectively.Average Mean Difference Gap (P-E) shows variable Assurance reveals low level of gap -0.12. However, this does not fill the quality gap of minimum 3.0 of Average Mean Expectation. This study exhibits tremendous service gap in other variables as Responsiveness -0.22, Empathy -0.33, Reliability -0.33 and Tangibility possesses -0.35 in terms of Average Mean Difference Gap.The necessity of this research study was deeply felt as a thin of number of passengers prefers PIA services. The service quality of PIA is diminishing with poor service strategies, insufficient facilities and lack of inflight hospitality measures for passengers; therefore, this research will help the key decision makers to identify the areas to improve, and take necessary remedial actions.  
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