Search results

1 – 2 of 2
Content available
Article
Publication date: 19 October 2010

Zahir Irani

354

Abstract

Details

Journal of Enterprise Information Management, vol. 23 no. 6
Type: Research Article
ISSN: 1741-0398

Open Access
Article
Publication date: 2 October 2019

Yazan Khalid Abed-Allah Migdadi

The purpose of this paper is to explore the effective taxonomies of airline green operations strategy.

4173

Abstract

Purpose

The purpose of this paper is to explore the effective taxonomies of airline green operations strategy.

Design/methodology/approach

To this end, a sample of 23 airlines from five regions (North America, South America, Europe, Asia and the Middle East) was surveyed. The annual sustainability reports of the surveyed airlines for the period 2013‒2016 were retrieved from the Global Reporting Initiatives website. K-means clustering analysis was used to generate taxonomic clusters of airline green operations strategy. A special data analysis technique, called rank analysis, was also adopted to identify the significant green actions and develop indicative models.

Findings

This study revealed that three effective taxonomies were adopted by airlines: a low-effect strategic pattern, a low-to-moderate effect strategic pattern and a high-effect strategic pattern. A different combination of green operation actions characterized each strategic pattern.

Originality/value

The research contribution of taxonomies of green operations strategy has so far been limited, country focused and concentrated on the manufacturing sector. This study reported the taxonomies and performed an in-depth analysis of the categories of effective actions taken to promote green performance. Moreover, this study developed indicative models for the relationship between categories of action and green performance for each strategic pattern, an action that has seldom been reported by previous studies of green operations strategies for airlines.

Details

Management of Environmental Quality: An International Journal, vol. 31 no. 1
Type: Research Article
ISSN: 1477-7835

Keywords

Access

Only content I have access to

Year

Content type

1 – 2 of 2