2021
DOI: 10.37335/ijek.v9i1.130
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Sustainable Performance of Players in the Global Aviation Industry in the Light of Multi-Factor Analysis of Online Reputation

Abstract: The issue of reputation management in terms of increasing sustainable performance and competitiveness is rapidly developing and undoubtedly is the most important tool in the business area. The study analyzes the reputation of 10 companies with the largest share in the aviation market that were selected on the basis of one of the most widely-used measures of airline size - passenger-kilometer (RPKs) as presented by the International Air Transport Association. The aim is to point out online reputation tools and … Show more

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Cited by 12 publications
(10 citation statements)
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“…A well-known powerful mathematical toolkit for substantiating or refuting a significant relationship between factor features (factors, predictors, extrapolators, prognostic parameters (Cima et al, 2021;Musetescu et al, 2022)) and dependent features (outcome indicators) are the methods of multivariate statistical analysis and multidimensional scaling (Fadilah et al, 2021), namely: methods of descriptive statistics, correlation-regression analysis (Valdes et al, 2022) using both clear metric features (Kolkova et al, 2022), and fuzzy non-metric (Abada et al, 2021;Jencova et al, 2021), cluster analysis (He et al, 2021;Lewicki et al, 2021;Vinska et al, 2021), canonical analysis (Lyoenov et al, 2021 (c)), discriminant analysis, variance analysis, factor analysis (Nastisin et al, 2021), principal component analysis, structural modeling (Nikonenko et al, 2021). Such a mechanism allows developing statistically significant accurate and adequate models, which can be used for further application and the adoption of well-founded objective management decisions (Szostek 2021;Ahmed 2021).…”
Section: Methodological Approachmentioning
confidence: 99%
“…A well-known powerful mathematical toolkit for substantiating or refuting a significant relationship between factor features (factors, predictors, extrapolators, prognostic parameters (Cima et al, 2021;Musetescu et al, 2022)) and dependent features (outcome indicators) are the methods of multivariate statistical analysis and multidimensional scaling (Fadilah et al, 2021), namely: methods of descriptive statistics, correlation-regression analysis (Valdes et al, 2022) using both clear metric features (Kolkova et al, 2022), and fuzzy non-metric (Abada et al, 2021;Jencova et al, 2021), cluster analysis (He et al, 2021;Lewicki et al, 2021;Vinska et al, 2021), canonical analysis (Lyoenov et al, 2021 (c)), discriminant analysis, variance analysis, factor analysis (Nastisin et al, 2021), principal component analysis, structural modeling (Nikonenko et al, 2021). Such a mechanism allows developing statistically significant accurate and adequate models, which can be used for further application and the adoption of well-founded objective management decisions (Szostek 2021;Ahmed 2021).…”
Section: Methodological Approachmentioning
confidence: 99%
“…The paper argued that SMEs in the few decades have become the backbone or engines that mostly derives the development of most developing countries particularly Ghana while Ngek, (2014) and Neneh & Van Zyl, (2017) emphasized that SMEs significant contributions towards economic development cannot be overlooked in terms of its poverty reduction, boosting countries GDP, creation of jobs/employment for the larger portion of the population and finally offering affordable goods and services and provision of social amenities to the communities in which they operate or resides. Etuk et al, (2014) and Nastisin et al (2021) remark that despite the numerous challenges faced by SMEs, they are known to be the main provider of social interventions and policy strategies that drives the alleviation of poverty through job creations/employment, innovation & business opportunities likewise the fulfillment of corporate social responsibilities and maintained that this has benefited governments in its revenue generation as well as stability of the polity of the country. Such interventions have paved the way for economic development in the country.…”
Section: Economic Developmentmentioning
confidence: 99%
“…Some other sectors, such as healthcare, are coping with an unexpected influx of patients (Gómez-Carmona et al, 2022). The need to react flexibly to change has accelerated the process of digitisation (Majerova et al, 2020), creating new business models or introducing necessary innovations (Mura, 2020;Nastisin et al, 2021). Demand for products has gradually changed, revealing weaknesses in global supply chains (Nedeliakova et al, 2014;Kicova & Nadanyiova, 2015;Mele et al, 2021).…”
Section: Service Sector Response To the Pandemic Crisismentioning
confidence: 99%