Service quality and productivity in the U.S. airline industry: a service quality-adjusted DEA model

Efficiency of US airlines: A strategic operating model

“…In the past, due to hard economic situations and the steady inception of new airlines (Choi et al, 2013;Merkert and Hensher, Caves et al (1984) 15 US airlines 1970e81 Translog Cost Function Density of air traffic within an airline's network impacts cost of operation. Small airlines incur higher costs.…”

“…10 US airlines 1998e10 B-convex Model Efficiency can be influenced by the size of the airline, mergers, and acquisitions. Choi et al (2013) 12 US airlines 2008e11 Service quality-adjusted DEA and Mann eWhitney test SQ-DEA places a greater emphasis on service quality as a factor that relates to service productivity. Airlines can overcome the tradeoff between quality and productivity.…”

Driving Sustainable Competitive Advantage in the Mobile Industry: Evidence from U.S. Wireless Carriers

“…DEA was developed by Charnes, et al [30] and has been applied to various areas [31][32][33][34][35][36][37]. The Charnes, Cooper and Rhodes (CCR) model and Banker, Charnes, and Cooper (BCC) model are the representative models of DEA, and depending on the input-output relationship, one can use either the CCR model, based on constant returns to scale (CRS), or the BCC model, based on variable returns to scale (VRS).…”

Multivariate Data Envelopment Analysis to Measure Airline Efficiency in European Airspace: A Network-Based Approach

“…We can find in the literature many works assessing the efficiency of airlines [1][2][3][4][5][6][7][8][9][10]. Analysis of the efficiency of the airline industry has traditionally been carried out from an economic perspective, mainly using micro-and/or macro-economic estimates to assess the viability of a company, its business plan, its fleet optimization, or its route planning, just to mention a few [2,7,[10][11][12][13][14]. Some authors focus on specific economic variables such as the cost or passenger revenue [2,15,16], while others analyze efficiency by taking into account other airline features, such as fleet or aircraft departures [17,18], and some even include variables such as network size [1,16] or aircraft manufacturers [19].…”