Tourism, big data, and a crisis of analysis

https://doi.org/10.1016/j.annals.2021.103158Get rights and content

Highlights

  • A crisis of analysis characterizes the use of big data in the tourism industry.

  • Big data use supports capital accumulation but also threatens to undermine it.

  • The desire for aggregation exists in tension with concerns regarding individuals.

  • A form of capitalism insensitive to the concerns of individuals encounters problems.

  • A crisis of analysis stems from the objectification of individuals via big data use.

Abstract

Efforts to aggregate data comprehensively have prompted a crisis of analysis. Such a crisis presents itself when big data use within the tourism industry increasingly treats individuals and their subjective practices as mere objects. Heightened recognition of tourism as a series of distinctive and creative human actions is counterbalanced by an exuberance for impersonal mass quantification. A crisis of analysis is identified through a qualitative study of tourism-focused trade journal articles that address big data. This type of crisis reflects the rise of a positivistic, business-driven way of knowing that creates tensions within the tourism industry. The position and power of individuals – tourists and practitioners – is steadily undermined and capital accumulation becomes threatened due to big data use.

Introduction

In a range of industries, including tourism, there has been a shift from conditions of data scarcity to those of superabundance. Changing technology has supported the analysis of enormous volumes of data. With the mass availability of computers possessing increased memory capacity, big data reflect efforts to quantify commerce comprehensively. Big data provide a path to transcendence where business is undertaken with greater efficiency and the problems associated with uncertainty are diminished (Davenport, 2014; Franks, 2012; Walker, 2015). Despite the enthusiasm for big data, the tourism industry has also articulated concerns about the personal autonomy, preferences, and capabilities of individuals within the context of commercially focused algorithmic methods. An impulse to achieve improved accuracy has meant that companies increasingly consider people only within the bounds of the data accumulated and processed.

The data-commerce nexus is responsible for a means of making sense of the world that is designed to be compatible with capital accumulation. This dominant logic, however, is posing problems for the tourism industry. The practices of individuals – addressed within more subjective, human-centred interpretations of tourism (Bargeman & Richards, 2020; De Sousa Bispo, 2016; Lamar et al., 2017) – are not perfectly compatible with the world of computable data. There are concerns about the use of big data that relate to the role of the individual within tourism-based commerce. Profiles of consumers generated by marketers through digital means cannot compensate for the ways in which big data analytics typically disregard certain concerns that have relevance to individuals – and, ultimately, present challenges to the process of capital accumulation.

Big data are used to conceptualize people as an aggregate; quantities, proportions, and averages are one approach to interpreting phenomena. This aggregative thrust is counterbalanced by concerns with respect to big data use. These differing perspectives are expressed within tourism-oriented trade journals. There are contradictory sentiments: the commercial benefits of aggregation, on the one hand, and matters that speak to the concerns of individuals on the other – namely, the protection of privacy, the desire for personalized customer service, and the ability of non-specialists to comprehend big data analytics.

Trade journals in the tourism industry feature articles that document points of view that are emerging as the influence of big data expands within the hotel, casino, and cruise-ship sectors. Many trade journal articles that address big data canonize the use of statistics, reflecting a managerial desire for more comprehensive knowledge. However, hyper-quantification encounters criticism in these sources as well. They do not simply feature the hyperbolic marketing claims of big data advocates. These conflicted responses to big data analytics arguably signal the presence of an emerging crisis of analysis that should be considered alongside a more established knowledge-based crisis: the crisis of representation (Marcus & Fischer, 1986; Mura & Sharif, 2015). A crisis of analysis has arisen as the increasing availability of more comprehensive means of quantifying phenomena has spurred greater anxiety regarding such methods. This crisis stems from the systematic measuring of human activity and the drawbacks of such quantification for commercial ends.

Ever more sophisticated efforts to determine “accurate” patterns create the conditions for concerns that challenge the desirability of the analysis taking place. The inclination to record what can be recorded and measure what can be measured for the purposes of profit – thus aiming to make the totality visible – produces contradictions. A quest for quantified efficiency threatens to undermine the concerns of individuals, both industry practitioners and consumers, within a tourism context. “Big data capitalism” threatens to subvert its own success.

This paper initiates an exploration of data analysis itself as opposed to the information embedded within big data. Big data capitalism is not only content to commoditize human practices but also seeks to steer them through predictive analysis. People become objects from which certain raw materials – their past experiences and individual attributes – are extracted. This objectification process extends to the way in which individual privacy is not always respected, personal preferences can be disregarded, and sophisticated data analysis becomes detached from its connection with people as the methods used become more difficult for non-experts to comprehend. The desire to understand the complexity of human practice within the field of tourism studies coexists with the enthusiasm for transforming human practice into measurable data for the purposes of commercial intervention. Tourism is a domain of tensions and contradictions – between authenticity and inauthenticity (Vidon et al., 2018), between sustainability and environmental degradation (Young et al., 2015), between commodification and resistance to commodification (Higgins-Desbiolles, 2012) – and the circumstances underpinning the crisis of analysis also reflects this notion. This crisis is documented through a qualitative study of tourism-oriented trade publications. Studying human practices and the way in which tourists subjectively experience the world has arguably never been more important to tourism scholars. However, at the same time, trade journal articles indicate that the tourism industry is under the powerful sway of the business-driven tendency to enumerate and measure – and to objectify. Numbers start to take precedence over people.

Section snippets

Big data: big benefits, big problems

Big data are an important decision-making tool for such disparate areas as business, government, and security. Enormous data sets can be aggregated for use by these various constituencies. A range of criteria commonly define big data – for example, volume, velocity, and variety (Mayer-Schönberger & Cukier, 2013; McNeely & Hahn, 2014). The infrastructure that supports the collection and appraisal of big data – mass computerization and teams of data analysts – enable organizations to process

Methods

Understanding the use of big data as a commercial tool and the concern that surrounds certain analytical activities require a source of data that would help readers comprehend current activities and future possibilities. Trade journals are specialized business periodicals that address issues relevant to an industry (Carpenter & Upchurch, 2008; Wilkinson & Merle, 2013). Practitioners are contributors to trade journals as well as the targeted readership. The more complex the relationship between

Big data and aggregation: commerce, change, and the future

Big data provide a pathway to a totality of understanding that promises better commercial returns. The range and volume of data sources available to, for example, casino operators generate excitement regarding business intelligence. Two industry observers catalogue an array of means by which data can be accessed:

Consider the diversity of traditional data sources in the casino industry today, with systems like slot and table player tracking, slot and table accounting, cage accounting,

Discussion

Technology and big data, when studied by tourism scholars, are often presented as contributing to universal betterment. They assume an aura of the necessary and the positive. There are some exceptions to this perspective regarding the general treatment of technology and big data in the field of tourism studies (Cohen & Hopkins, 2019; Mazanec, 2020; Tribe & Mkono, 2017) but there is scope to explore anxieties and contradictions in more depth. The processes that makes big data more comprehensive

Conclusion

This paper, in the context of tourism, explores the use of big data analytics as opposed to patterns contained within a particular set of big data. Big data positions people, often consumers, as subject to the practices of those who gather and analyze the data for commercial gain. Taken too far, analysis poses problems – even within industry circles. The power of the aggregate exists in tension with the importance of the individual. This tension defines the crisis of analysis. Positivist

Declaration of competing interest

None.

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    Adam Weaver is a Professor in the School of Hospitality, Tourism and Sport at Niagara College in Niagara-on-the-Lake, Ontario, Canada. He was affiliated with Victoria University of Wellington in New Zealand between 2003 and 2016. His current research interests include the identification of target markets by tourism organizations, the histories of academic programs in hospitality and tourism, and the commercial use of statistics and analytical methods within the tourism and hospitality industry.

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