Challenges and business models for mobile location-based services and advertising

Dhar, Subhankar; Varshney, Upkar

doi:10.1145/1941487.1941515

Cited by 283 publications

(169 citation statements)

References 22 publications

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“…However, the ability to use the spatial location of the customer (Larson, Bradlow and Fader 2005) at any given point in time has opened up a whole new avenue for retailers where customer's geo-spatial location could impact the effectiveness of marketing (Dhar and Varshney 2011), change what offer to make, determine at what marketing depth to make an offer, to name just a few. When the customer's geo-spatial location is also tied to the CRM database of a firm, retailers can unlock tremendous value where a customer's purchase history (Kumar et al, 2008) is then tied to what products they are physically near to allow for hyper-targeting at the most granular level.…”

Section: Locationmentioning

confidence: 99%

The Role of Big Data and Predictive Analytics in Retailing

Bradlow

Gangwar

Kopalle

et al. 2017

Journal of Retailing

352

181

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The paper examines the opportunities in and possibilities arising from Big Data in retailing, particularly along five major data dimensions -data pertaining to customers, products, time, (geo-spatial) location and channel. Much of the increase in data quality and application possibilities comes from a mix of new data sources, a smart application of statistical tools and domain knowledge combined with theoretical insights. The importance of theory in guiding any systematic search for answers to retailing questions, as well as for streamlining analysis remains undiminished, even as the role of Big Data and predictive analytics in retailing is set to rise in importance, aided by newer sources of data and large-scale correlational techniques. The Statistical issues discussed include a particular focus on the relevance and uses of Bayesian analysis techniques (data borrowing, updating, augmentation and hierarchical modeling), predictive analytics using big data and a field experiment, all in a retailing context. Finally, the ethical and privacy issues that may arise from the use of big data in retailing are also highlighted.2

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Section: Locationmentioning

confidence: 99%

The Role of Big Data and Predictive Analytics in Retailing

Bradlow

Gangwar

Kopalle

et al. 2017

Journal of Retailing

352

181

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“…In addition to the traditional pay-as-you-go, online gaming subscription or premium versions, the possibilities of advertising, advergaming and other products and services purchased in, for or through the game are yet to be explored. In the particular case of location-based applications, Dhar and Varshney (2011) mention, in addition to the above, the need to address the challenges of acceptable standards for mobile advertising and performance guarantees.…”

Section: Challenges and Disruptions To Mobile Gamingmentioning

confidence: 99%

“…The use of context is expected to reveal undiscovered needs and interactions (Dhar & Varshney, 2011;Yndurain, Feijóo, Ramos, & Campo, 2010). For instance, because mobile devices have rich sensing capabilities, they facilitate augmenting the real world commons with the Internet (Griswold, 2007).…”

Section: Challenges and Disruptions To Mobile Gamingmentioning

confidence: 99%

Mobile gaming: Industry challenges and policy implications

Feijóo

Gómez-Barroso

Terrón

et al. 2012

Telecommunications Policy

111

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Mobile games are a prime example of a successful mobile application and demonstrate the increasing range of platforms for the media and entertainment industries. Against this convergent background, this paper introduces the basic features of the mobile gaming market and its industrial ecosystem together with its main actors and activities. The focus of the paper lies in the challenges ahead for the evolution of mobile applications into a potentially dominant game platform and the possible disruptions along this road. The deep personal relationships between users and their mobile devices are considered to further explore the link between mobile games, players' strategies and pending techno-economic developments. The paper concludes with a brief discussion of some policy options to assist with the development of this domain.

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“…This is a research subject that poses several difficulties in relation to other on-line software, namely the push/pull model of information flow, the interaction with objects based on spatial proximity to the user, managing layers of dynamic information and different interaction facets between users and services [7]. Capturing user requirements and taking design or re-design decisions through evaluation, is one method that ensures user participation in the development process [8], [9].…”

Section: Introductionmentioning

confidence: 99%

Location-based E-Commerce Services: (Re-) Designing using the ISO9126 Standard

Stefani¹,

Vassiliadis²,

Efthimiades³

2018

ijacsa

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Abstract-E-commerce services based on user geographic location have emerged as a particularly important segment of modern information services. In these user-intensive applications, quality of service is important and design methods are increasingly relying on software standards to achieve quality. In this paper, we propose an evaluation model for location based e-services that provide insights on how overall system quality can be strengthened via identifying the most important quality characteristics of specific user-system interactions facets. The model categorizes location based services into taxonomies of components / functions, which are further analyzed in interaction facets and significance levels. A further mapping to external qualitative sub-characteristics of the ISO9126 quality standard is used to formally decompose design quality into quality attributes. The view of software design through quality attributes is supported by a mathematical model, which calculates significance weights on service components, defined either by designers or by the end users. An experiment, where this method is used to assess functionality is presented.

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Challenges and business models for mobile location-based services and advertising

Abstract: Mobile advertising will become more pervasive and profitable, but not before addressing key technical and business challenges.

Cited by 283 publications

References 22 publications

The Role of Big Data and Predictive Analytics in Retailing

The Role of Big Data and Predictive Analytics in Retailing

Mobile gaming: Industry challenges and policy implications

Location-based E-Commerce Services: (Re-) Designing using the ISO9126 Standard

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