Big Data to Improve Strategic Network Planning in Airlines

verfasst von: Maximilian Schosser

Buchreihe : Schriftenreihe der HHL Leipzig Graduate School of Management

Enthalten in: Springer Professional "Wirtschaft+Technik" , Springer Professional "Technik" , Springer Professional "Wirtschaft"

Inhaltsverzeichnis

Über dieses Buch

Big data has become an important success driver in airline network planning. Maximilian Schosser explores the status quo of network planning across a case study group consisting of nine airlines representing different business models. The author describes 23 big data opportunities for airline network planning and evaluates them based on their specific value contribution for airline network planning. Subsequently, he develops a financial evaluation methodology for big data opportunities based on key performance indicators for airline network planning departments.

Inhaltsverzeichnis

Frontmatter

Chapter 1. Introduction

Abstract

Big data has become one of the most prominent buzzwords of the modern corporate world, which is a remarkably fast feat for a new phenomenon. It became fashionable at the onset of the 2010s, fueled by popular articles in the Harvard Business Review (McAfee & Brynjolfsson, 2012) and the MIT Sloan Management Review (Davenport, Barth, & Bean, 2012). Its broad scope makes it directly or indirectly crucial for all industries, and as early as 2011, Manyika et al. (2011, p. 1) estimated a global big data (BD) value generation potential of more than 1 trillion US Dollar (USD).

Maximilian Schosser

Chapter 2. Methodology

Abstract

The choice of the research methodology does not depend only on the characteristics of the research topic or the individual preferences of the researcher. It should also be underpinned by a sound philosophical research paradigm and must be suitable to answer the research questions and fulfil the objectives defined in the previous chapter. Sub-chapter 2 presents the paradigm that drives the research. Detailed descriptions of the literature review process (sub-chapter 2.2) and of the multi-stage comparative case study (sub-chapter 2.3) introduce the major techniques employed for the rest of this study.

Maximilian Schosser

Chapter 3. Theoretical foundation

Abstract

When following a qualitative research design, as developed in chapter 2, it is vital to ground the research on a relevant overarching theory (Creswell, 2013, p. 63). The research topic “big data to improve strategic network planning in airlines” is situated on the intersection of four different research domains – information systems, logistics, operations research, and strategic management. The overarching theory needs to be applicable to all domains to facilitate the creation of an overarching theoretical concept, although additional technical theories can be used to explain certain phenomena or research objects (Wynn & Williams, 2012, p. 798).

Maximilian Schosser

Chapter 4. Status quo of strategic network planning in airlines

Abstract

This chapter describes the status-quo of NP across airlines in the case study group. After a brief introduction to the organizational set-up and observed process structures (sub-chapter 4.1), sub-chapter 4.2 explores the data sources currently used for NP. Subsequently, the currently used IT systems for NP (sub-chapter 4.3) and the performance measurement within NP departments are detailed (sub-chapter 4.4).

Maximilian Schosser

Chapter 5. Big data opportunities for airline network planning

Abstract

This chapter builds on existing research and practice to develop tangible BDOs for airline NP. First, the information needs of airline network planners are derived leveraging the currently used data sources and interview results from the case study group (sub-chapter 5). The BDOs that address the identified information requirements are described in detail in sub-chapter 5.2.

Maximilian Schosser

Chapter 6. Financial impact of big data for airline network planning

Abstract

The selection of the appropriate BDOs to support the NP process is a key challenge for airline network planners. This chapter aims to develop a logical process that can help airline network planners to choose the most appropriate BDO and provide a framework to estimate the cost and benefits of a BDO investment. Figure 6.1 displays this logical process and links it to the relevant sections of this chapter.

Maximilian Schosser

Chapter 7. Discussion and contrast with the scientific body of knowledge

Abstract

This chapter aims to connect the literature analyzed in chapter 3 with the research findings of the previous three chapters. The structure of this chapter follows the order of the theory discussion.

Maximilian Schosser

Chapter 8. Conclusion and suggestions for further research

Abstract

This final chapter concludes with the four research questions (sections 8.1.1 to 8.1.4) and provides general insights from across the study (section 8.1.5). The contribution to the scientific body of knowledge is summarized in section 8.1.6, which is followed by the second sub-chapter 8.2 suggesting methodological enhancements (section 8.2.1) and content extensions (section 8.2.2) for future research.

Maximilian Schosser

Backmatter

Titel: Big Data to Improve Strategic Network Planning in Airlines
verfasst von: Maximilian Schosser
Verlag: Springer Fachmedien Wiesbaden
Electronic ISBN: 978-3-658-27582-2
Print ISBN: 978-3-658-27581-5
DOI: https://doi.org/10.1007/978-3-658-27582-2