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Motivation factors of Airbnb users Gabriella B

UDA

Szent István University, Faculty of Economics and Social Sciences, Gödöllő

Gabriella_buda@yahoo.com

„SUPPORTED BY THE ÚNKP-19-3-INEW NATIONAL EXCELLENCE PROGRAM OF THE

MINISTRY FOR INNOVATION AND TECHNOLOGY.”

Airbnb has become a major competitor in the hotel industry in recent years, and it is important to understand consumers' motivations and attitudes. In an online questionnaire survey in Hungary, tourists traveling abroad were asked using the snowball method. Of those who completed the questionnaire (250 respondents), 120 have already used Airbnb, and in this study, Airbnb users’ responses were analyzed. Respondents, who live in Budapest and have a university degree, are overrepresented, but a representative national sample presents that Airbnb users are typically metropolitan people with higher educational level. As a result, it was found that good value for money is important for 92% of respondents.

69% of the respondents answered that independent, multi-room apartments, 62% in the cooking facility, 52% in the uniqueness of the private home are important. Interestingly, while Airbnb's communication campaign and its main messages are about meeting local people, only 33% of Airbnb users said they would find it attractive. 51% of the respondents prefer not only a separate flat build-up only for tourists, but they are open to renting an apartment where someone otherwise lives and moves out from the flat only for the duration of the rental or even to rent a room in a shared flat. Airbnb launched the Airbnb Experience service as a new service, with more than half (51%) of respondents saying they would probably or use it in the future. This response, on the one hand, predicts the expected success of the service and, on the other hand, underpins the expansion of the experience economy. Future research topics may include examining the loyalty of Airbnb users and changing consumer preferences for tourists.

Literature review

Airbnb is one of the most known sharing economy company, which is a new business model in peer to peer commercial market. This new

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consumption (Botsman & Rogers, 2010), mesh economy (Gansky, 2011), on-demand economy, access-based economy (Bardhi & Ekhard, 2012), collaborative economy (EB, 2016), but most of all, the sharing economy is widely used as a general term. Munoz and Cohen (2017) summarized the main characteristics of the sharing economy: platform dependency, underutilized assets, peer-to-peer transactions, community governance, mission, alternative financing, and technology dependency. In our previous study, we categorized forms of web-based collaborative consumptions taking into account whether sharing is really happening.

The type of business model (C2C or B2C or C2B), the degree of monetization between the participants (barter, free of charge, and the subject matter (material or intangible assets) are the most important dimensions in terms of sharing economy business (Buda & Lehota, 2017).

In the case of the accommodation industry, Airbnb is a good example of analyzing the sharing economy. With regard to Airbnb, many scholarly articles have been published recently. This study focuses on research into users' behavior, motivations and attitudes, and the reasons for replacing commercial accommodations with non-commercial (private) accommodation. Several studies show that price, experience, and the benefits of self-catering are the factors (i.e., essentially, practical benefits) that influence decision-making. Distrust is the best known limiting factor (Kam Fung So et al., 2018; Guttentag et al., 2017).

In recent years, Airbnb has grown significantly to meet growing consumer demands and is increasingly acting as a replacement for hotel rooms. At the same time, sharp criticisms have been raised against it, and its destructive effect on the hotel industry has been emphasized (Mody et al., 2018). According to a study by Guttentag and Smith (2017), 2/3 of those who already use Airbnb have chosen Airbnb as a substitute for hotels, and their research shows that Airbnb is of better quality than motels, but does not reach the standard of upscale hotels, acting as a substitute for mid-range hotels. Zervas et al. (2017) examined the impact of Airbnb on the hotel industry's revenue in the United States, Texas in particular. As a result, every 10% increase in Airbnb market size translates into a 0.39% decrease in hotel room revenue. In Austin, where Airbnb's presence has grown extremely rapidly, an estimated 8-10%

negative revenue impact has been estimated for the most vulnerable hotels (lower-priced hotels).

With Airbnb gaining ground, it is an important goal to understand the motivations of consumers and to find out how much this type of accommodation is preferred by travelers. In our research, we sought answers to these questions.

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Materials and methods

Our goal is to get to know the booking preferences of travelers traveling abroad from Hungary, especially in the case of Airbnb. After a series of in- depth interviews, and based on the responses, we designed an Internet- based online questionnaire that was first distributed through snowball to friends, acquaintances, and colleagues; furthermore, we distributed it among university students.

In the questionnaire, we asked respondents who have used Airbnb in the past few years as they were looking for their motivation factors. Based on this, we were able to evaluate the responses of 120 respondents. 72 % of the respondents are women and 28% are men. In terms of age, 29% of the respondents belong to the Z generation, 26% to the Y generation and 44% to the X generation, only 1% of the respondents belong to the Baby Boomers (age above 60). Based on the educational background of the respondents, 8% of the respondents have graduated from grammar school, 23% are currently studying at university, 55% have a college or university degree and 14% have a postgraduate degree. In terms of place of residence, 73% of respondents live in Budapest, 8% in county seats, 13% in cities and 8% in villages. In terms of income, 11% of respondents did not respond, 13% have no income or below-average income, 38%

have average income and 38% have above average income. The distribution of the respondents shows that the sample is not representative; we can make our findings with this limit. Our research sought answers to the following questions:

- Motivational factors of travelers who have already used Airbnb - motivational factors in the case of Airbnb and different commercial accommodation (as hotels, apartment, pension, etc) were examined separately. Responses were measured on a 1-5 Likert scale, with 1 not at all important and 5 being very important.

- There are different types of Airbnb accommodations, we asked the users which one to choose (more choices were possible)

- What types of accommodation have Airbnb users used in recent years? What type of accommodation do Airbnb users plan to use in the coming years? Our goal was to determine what types of

accommodations Airbnb users will be using in the future. Furthermore, we analyzed what is the Airbnb users’ willingness to be re-choosing.

- In 2017, Airbnb launched its Airbnb experience service. Respondents were asked how open they were to this type of service.

The answers to the above questions were analyzed using SPSS software version 23, using descriptive statistics and crosstabs.

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Results

As a primary question, based on the results obtained under two focus groups, I mapped the importance of different motivational factors in the questionnaire. We asked what the reasons are for choosing Airbnb. As a result, value for money is the most important to the users, the average Likert grade is 4.65 meaning that 92% of respondents consider that it is important or very important to choose Airbnb because of its good value for money. The next motivation factor, in order of importance, is the category of an independent home with several separate rooms, rated by people at 3.97, with 69% of respondents saying this aspect is important or very important to them. Then comes the positive experience with a value of 3.82, and the self-cooking option came with an average of 3.7.

Other motivational factors in order: uniqueness of a private home (3.51), no need to adapt to hotel rules (3.43), meeting with locals (3.29), interesting, exciting (3.19). The results are shown also in Figure 1.

Figure 1. Motivation factors for Airbnb users using Airbnb, own editing

Specifically, meeting with locals is less important based on respondents' responses (3.29). Airbnb never puts its campaigns and strategic messages at a bargain price but communicates with locals. Conversely, while affordability is the primary motivating factor, meeting locals is almost the last, with only 36% of respondents finding it important or very important.

Airbnb users can book not only on Airbnb (as non-commercial accommodation) but also on commercial accommodation (as hotel, apartment, pension, etc). We examined the motivation factors of Airbnb users when choosing a hotel room. The most important motivation factor according to the answers is the dining option at the hotel (average of 3.97 on a 1-5 Likert scale). That is, when choosing an Airbnb user between an

4,65 3,97 3,82 3,7 3,51 3,43 3,29 3,19

0 1 2 3 4 5

good value for money apartment with several rooms is attractive so far everyone has a good opinion about it,

recommended it / I have very good…

for cooking possibility the uniqueness of the private home is

attractive

no need to adjust to hotel rules opportunity to meet locals, get to know each

other

interesting, exciting

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motivational aspects in order: the traveler knows exactly what to expect at the hotel, there are no surprises (3,66); wellness/fitness facilities (3.58); safe conditions (3.65); 0per 24h reception (3.02); daily cleaning/tidying (2.93). The results are shown in Figure 2 as well.

Figure 2. Motivation factor of Airbnb users in case of booking hotel room

Motivation factors in the case of Airbnb and hotels are quite difference.

We examined whether there is a relationship between Airbnb and hotel motivation factors among Airbnb users. An important finding was that there is no correlation between Airbnb and hotel motivation factors. With this, we have determined that one's preferences for Airbnb do not allow us to infer their preference for hotel rooms. It is assumed that the tourist will choose the type of accommodation based on his/her actual needs.

Airbnb offers a variety of accommodation types, the most common being a separate apartment with one or more separate rooms. 92% of the respondents said they would choose this type of accommodation. There are lodgings where the apartment is rented out but otherwise live in it.

For this type of accommodation, respondents would be open to 28%. The third type of accommodation, which is a simple room rental, is where the occupants live in the same apartment as the renter. Similar to the so- called ‘Couchsurfing’, but here you have to pay the host. 10% of people would choose this.

Of course, Airbnb users choose not only Airbnb-style accommodations but also hotels, camping, apartments. Over the past few years, Airbnb users have also occupied apartment houses (63%), three-star hotels (52%) and four-star hotels (56%), and these types of accommodation can be an alternative to Airbnb accommodation. For the future, we asked Airbnb users what type of accommodation they would choose if they

3,97 3,66 3,58 3,56 3,02 2,93

0 0,5 1 1,5 2 2,5 3 3,5 4 4,5

breakfast / dinner in the hotel restaurant [I know exactly what to expect Wellness / Fitness safe 0per 24 hour reception daily housekeeping, tidying up the room

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of the respondents would go back to a three-star hotel and 30.8% of the respondents would go back to a four-star hotel (planning to go back in the next one or two years). The intention to return for a different type of accommodation is shown in Figure 3.

Figure 3. consumers’ willingness to return for different types of accommodation, own editing

Airbnb has been offering experiences since 2017. Local residents offer experiences, for example cooking course, city walk or local craft activities.

We asked Airbnb users what they think about this, whether they have used or would like to use such services. According to their answers, 10%

have already used this type of service and another 50% plan to use it someday.

Conclusion

As an emblematic symbol of the peer-to-peer model of the sharing economy, Airbnb has become widespread in recent years, showing growth in revenue as well as accommodation seekers and hosts. Airbnb has grown to such an extent that it is now a major competitor to the hotel chains. There are many things that can be listed among the reasons for growth and success, but you can see that accommodation seekers prefer this type of accommodation. I thought it was important to get to know the motivational factors of the consumers, as it is one of the drivers of Airbnb.

In addition, this can be useful information for hoteliers, as they can work well in a competitive environment. In this study, 120 tourists already using Airbnb completed an online questionnaire. Analysis was prepared based on their responses. As a result, I found that the most important

1,70%

5,80%

15,00%

22,50%

30,80%

41,70%

68,30%

0,00% 10,00% 20,00% 30,00% 40,00% 50,00% 60,00% 70,00% 80,00%

camping hotel *****

pension apartmen hotel ****

hotel ***

Airbnb

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separate rooms, positive experience, self-cooking uniqueness of a private home, no need to adapt to hotel rules, meeting with locals, interesting and exciting experience. I have also examined other booking options for those who have already chosen Airbnb. I have found that anyone who has used Airbnb once; has a preference for using this type of accommodation next time, so the return rate, which can be called loyalty, is the highest towards Airbnb (67%). By the way, the same tourists prefer three and four star hotels and apartments. However, through the example of Airbnb, we not only learn about the changing situation in the hotel booking market, but also highlight the potential of the increasingly peer-to-peer business model. In this case, unknown individuals interact with each other through a digital platform and a business transaction takes place between them. This business transaction could be a distribution, redistribution or sharing. In Airbnb, we are talking about sharing, which requires a great deal of trust from both parties. Because of the lower transaction costs, the price of the sharing economy service is typically lower than a similar service that operates within a traditional business model. Besides the lower price it is necessary to have trust, a positive attitude, then one becomes a user of the sharing economy service. Looking at growth, we have found that many people have this type of trust in another person, but of course, there is a layer who is averse to this type of service.

A further research task may be to find out who are open to peer-to-peer sharing economy services, how many are there and what consumer attitudes we can identify. Once we can identify them, it's easier to target them with different marketing tools.

References

Bardhi, F., & Eckhard, G.M. (2012). Access-based consumption – The case of car sharing. Journal of Consumer Research, 39 (12), 881-898. DOI:

https://doi.org/10.1086/666376

Botsman, R., & Rogers, R. (2011). What’s mine is yours – The rise of collaborative consumption. Harper.

Buda, G., & Lehota, J. (2017). Az internetalapú közösségi gazdálkodás formái.

Gazdaság és Társadalom, 9 (2), 23-46.

EB (2016). A közösségi gazdaságra vonatkozó európai menetrend. A Bizottság közleménye az Európai Parlamentnek, a Tanácsnak, az Európai Gazdasági és Szociális Bizottságnak és a Régiók Bizottságának. COM (2016) 356 final, SWD (2016) 184 final. Brüsszel: Eur-Lex.

Friedman, T. L (2013). Welcome to „sharing economy”. The New York Times, júl.

20. Retrieved from

http://www.nytimes.com/2013/07/21/opinion/sunday/friedman-welcome-to- the-sharing-economy.html [30.10.2018].

Gansky, L. (2011). Mesh vállalkozások – miért a megosztásra épülő üzleteké a

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International Journal of Hospitality Management, 64, 1-10·with (2), 190. DOI:

https://doi.org/10.1016/j.ijhm.2017.02.003

Guttentag, D., Smith, S., Potwarka, L., & Havitz, M. (2017). Why tourists choose Airbnb? A motivation-based Segmentation study. Journal of Travel Research, 57 (3), 342-359. https://doi.org/10.1177/00472875176969

Kam Fung So, K., Oh, H., & Min, S. (2018). Motivations and constraints of Airbnb consumers: Findings from a mixed-methods approach. Tourism Management, 67 (8), 224-236. https://doi.org/10.1016/j.tourman.2018.01.009

Mody, M., Dogru, T., & Suess, C. (2018). Not in my backyard? Is the anti-Airbnb discourse truly warranted? Annals of Tourist Research, 74, 198-203.

https://www.researchgate.net/publication/326695883_Not_in_my_backyard_I s_the_anti-Airbnb_discourse_truly_warranted

Munoz, P., & Cohen, B. (2018). A compass for navigating sharing economy business model. California Management Review, 61 (1), 114-147.

https://doi.org/10.1177/0008125618795490

Zervas, G., Proserpio, D., & Byers, J. W. (2017). The rise of the sharing economy: estimating the impact of Airbnb on the hotel industry. Journal of Marketing Research, 54 (5), 687-705. https://doi.org/10.1509/jmr.15.0204

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