Evaluating competitiveness using fuzzy analytic hierarchy process—A case study of Chinese airlines

Abstract

SUMMARYWith the development of a national market economy, the Chinese aviation industry is now confronted with international competition. Therefore, it is necessary to research the competitive status of Chinese national aviation, as well as advice on how to enhance the competitiveness of the Chinese aviation industry. The main objective of this paper is to propose FAHP as an effective solution for resolving the uncertainty and imprecision in the evaluation of airlines' competitiveness. In this paper, we review the research of industrial international aviation competitiveness at both home and abroad, discuss a theoretical framework for the study of aviation competitiveness, establish an index system with five first-order indicators and 17 second-order indicators, set up a Chinese aviation competitiveness model based on simple fuzzy numbers from the fuzzy analytic hierarchy process, and evaluate the competitiveness of five major Chinese airlines. The results showed that this model and these indicators are scientific and practical, with a wide range of application prospects for the purpose of improving and increasing Chinese airline competitiveness in the international market. The effective approach presented in this paper is especially applicable when subjective judgments on performance ratings and attribute weights are not accessible or reliable, or when suitable decision makers are not available.

Assessing customer value for express service providers: An empirical study from shippers’ perspective in Taiwan

“…According to viewpoints of Johansson et al any company should concentrate on improving the product quality and/or service, and at the same time reducing the cycle time and cost to the customer. Based on the four key value criteria, the sub-criteria are derived from a detail literature review (Chang, 2012;Chang et al, 2015;Chao and Li, 2012;Chao et al, 2013;Chiang and Ke, 1999;Ding et al, 2005;Ducret, 2014;Hsu, 2011;Jen et al, 1997;Johansson et al, 1993;Lam et al, 2004; Langvinien _ e and Sli zien _ e, 2012; Li et al, 2004;Lin and Lee, 2009;Mizutani and Uranishi, 2003;Park et al, 2009;Pongpanich et al, 2015;Wu et al, 2013;Yoon and Park, 2015) and comprehensive interviews (with three major express service providers in Taiwan) conducted by the authors. Finally, four criteria with twenty sub-criteria were suggested, and their code names were shown in the parentheses.…”

Measuring Emotional Intelligence Among Business School Students in India

“…(McFetridge, 1995). With such innovative products and ancillary services, it is possible to gain passenger loyalty that can Based on previous studies in airline competitiveness (Wu, et al, 2013;Hannigan, et al, 2014;Delbari, et al, 2015), the authors highlight the main competitiveness factors in commercial air transportation. 1.…”

“…(Boyd, 2007) Airlines control the demand with different price points which depend on the price elasticity of a specific destination and can directly influence their competitiveness level for each destination separately. (Zhang, 2017;Lazarev, 2013;Wu, et al, 2013) 4. Flight Networkto provide a higher profitability the airline must have an effective flight range which the airline can offer to their customers.…”

Competitiveness and economic profit analysis of Kazakhstan’s poultry companies

“…Understanding the financial structure of your competitors and the industry provides insight into their possible courses of action and competitive responses. " Wu, Zhang, Yeh, & Chen (2013) conclude that "An important decision indicator of the airline competitiveness -a financial performance indicator that directly affects an airlines' survival. Financial performance indicators are mainly in the form of financial ratios, and the data can be retrieved from the airline's balance sheet, income statement, and cash flow statement."…”