The Impact of an Augmented Reality Game on Local Businesses: A Study of Pokemon Go on Restaurants

Pamuru, Vandith; Khern-am-nuai, Warut; Kannan, Karthik

doi:10.2139/ssrn.2968221

Cited by 6 publications

(8 citation statements)

References 55 publications

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“…Yu et al in [16] studied a situation where the online advertisers sponsor the venues' public Wi-Fi services, and deliver mobile advertisements to the venues' visitors. Our work is closely related to [17] and [18], which conducted empirical studies of Pokemon Go's impact on the offline businesses. Pamuru et al in [17] collected consumers' reviews of 2,032 restaurants in Houston, and analyzed the correlation between the reviews and whether the restaurants are covered by the POIs ("PokeStops").…”

Section: Cooperation Of Online and Offline Businessesmentioning

confidence: 99%

“…Our work is closely related to [17] and [18], which conducted empirical studies of Pokemon Go's impact on the offline businesses. Pamuru et al in [17] collected consumers' reviews of 2,032 restaurants in Houston, and analyzed the correlation between the reviews and whether the restaurants are covered by the POIs ("PokeStops"). Colley et al in [18] surveyed 375 Pokemon Go players, and showed that 46% of the players had purchased the venues' offline products because of the POIs.…”

Section: Cooperation Of Online and Offline Businessesmentioning

confidence: 99%

“…Colley et al in [18] surveyed 375 Pokemon Go players, and showed that 46% of the players had purchased the venues' offline products because of the POIs. Different from [17] and [18], our work surveys the impact of the venues' infrastructure on Pokemon Go players' game experience, and provides the first model and analysis for the cooperation between online apps and offline businesses.…”

Section: Cooperation Of Online and Offline Businessesmentioning

confidence: 99%

“…From Propositions 4, 5, and 6, H (p) is the maximum lump-sum fee under which the venue will be a POI, given the p. In practice, the app simply needs to compute its twopart tariff based on (17) and (18), and charge the venue accordingly. The computational complexity is O (1), which does not increase with the system scale (e.g., the number of users).…”

Section: Optimal Two-part Tariffmentioning

confidence: 99%

“…From Theorem 1, we can also see the challenge of considering the congestion effect and network effect. Based on (17), (18), ( 9), (10), and (12), the optimal lump-sum fee l * has different concrete expressions under different parameter settings, and the corresponding thresholds (such as δ th , I th , p 0 , p 1 , p 2 , and p 3 ) have complicated expressions. If there is no congestion effect, it is equivalent to assuming that I 0 goes to infinity.…”

Section: Optimal Two-part Tariffmentioning

confidence: 99%

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Pricing for Collaboration between Online Apps and Offline Venues

Iosifidis

Shou

et al. 2020

IEEE Trans. on Mobile Comput.

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An increasing number of mobile applications (abbrev. apps), like Pokemon Go and Snapchat, reward the users who physically visit some locations tagged as POIs (places-of-interest) by the apps. We study the novel POI-based collaboration between apps and venues (e.g., restaurants). On the one hand, an app charges a venue and tags the venue as a POI. The POI tag motivates users to visit the venue, which potentially increases the venue's sales. On the other hand, the venue can invest in the app-related infrastructure, which enables more users to use the app and further benefits the app's business. The apps' existing POI tariffs cannot fully incentivize the venue's infrastructure investment, and hence cannot lead to the most effective app-venue collaboration. We design an optimal two-part tariff, which charges the venue for becoming a POI, and subsidizes the venue every time a user interacts with the POI. The subsidy design efficiently incentivizes the venue's infrastructure investment, and we prove that our tariff achieves the highest app's revenue among a general class of tariffs. Furthermore, we derive some counter-intuitive guidelines for the POI-based collaboration. For example, a bandwidth-consuming app should collaborate with a low-quality venue (users have low utilities when consuming the venue's products).

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Section: Cooperation Of Online and Offline Businessesmentioning

confidence: 99%

Section: Cooperation Of Online and Offline Businessesmentioning

confidence: 99%

Section: Cooperation Of Online and Offline Businessesmentioning

confidence: 99%

Section: Optimal Two-part Tariffmentioning

confidence: 99%

Section: Optimal Two-part Tariffmentioning

confidence: 99%

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Pricing for Collaboration between Online Apps and Offline Venues

Iosifidis

Shou

et al. 2020

IEEE Trans. on Mobile Comput.

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Spatial disparities in accessibility to recreational amenities: the case of Pokémon GO

Sari

2019

Ann Reg Sci

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In this study, we analyze spatial disparities in access to particular recreational amenities. We focus on the famous application for smart phones: Pokémon GO. The aim of this location-based augmented reality application is to capture and collect virtual creatures called Pokémon, using a cell phone. Collecting Pokemon is made possible by using certain items only available in particular places, called Pokéstops, that the player has to visit in order to obtain. Pokestops are also very useful to players because the chances of finding Pokémon whithin its vicinity are higher as opposed to elsewhere. Because these Pokéstops are not randomly located, some spatial disparities have been observed by players. Our objective is to explain these spatial disparities in French cities. We focus on the French department of Loire-Atlantique and Nantes metropolis that permit use, to compare situations and determinants in urban and rural neighborhoods. Results of different spatial econometric models reveal strong disparities between neighborhoods located in the Nantes metropolis, and others. It appears that determinants of these disparities may vary according to whether an individual is located in a rural or urban area. Location of Pokéstops does not seem to be correlated with population characteristics, but rather with local amenities such as historical monuments, shops, or green spaces.

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Market Your Venue with Mobile Applications: Collaboration of Online and Offline Businesses

Iosifidis

Shou

et al. 2018

IEEE INFOCOM 2018 - IEEE Conference on Computer Communications

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The Impact of an Augmented Reality Game on Local Businesses: A Study of Pokemon Go on Restaurants

Cited by 6 publications

References 55 publications

Pricing for Collaboration between Online Apps and Offline Venues

Pricing for Collaboration between Online Apps and Offline Venues

Spatial disparities in accessibility to recreational amenities: the case of Pokémon GO

Market Your Venue with Mobile Applications: Collaboration of Online and Offline Businesses

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