Designing viable business models for context-aware mobile services

Reuver, Mark de; Haaker, Timber

doi:10.1016/j.tele.2008.11.002

Cited by 101 publications

(46 citation statements)

References 22 publications

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“…Centralized personalization is seen by some researchers as a major trend in the telecommunications world, whereas others expect most personalization to take place on the end-user terminal for reasons of usability, response time, and privacy [39].…”

Section: Business Model Instances Of the Trusted Infomediary Patternmentioning

confidence: 99%

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Privacy-Friendly Business Models for Location-Based Mobile Services

Liu

Bonazzi

Fritscher

et al. 2011

J. theor. appl. electron. commer. res.

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This paper presents a theoretical model to analyze the privacy issues involved in business models for location-based mobile services. We report the results of an exploratory field experiment in Switzerland that assessed the factors driving the net payoff to users of mobile businesses. We found that (1) the personal data disclosed by users has a negative effect on user payoff; (2) the amount of personalization available has a direct and positive effect, as well as a moderating effect, on user payoff; and (3) the amount of control over a user's personal data has a direct and positive effect, as well as a moderating effect, on user payoff. The results suggest that privacy protection could be the main value proposition in the B2C mobile market. From our theoretical model, we derive a set of guidelines to design a privacy-friendly business model pattern for thirdparty services. We discuss four examples to show how the mobile platform can play a key role in the implementation of these new business models.

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Section: Business Model Instances Of the Trusted Infomediary Patternmentioning

confidence: 99%

“…This may reduce the role of operators and increase the opportunities for service providers, as accurate location-based information becomes available at no cost. Therefore, adding privacy protection services can become a key differentiator for mobile network operators [39].…”

Section: Privacy Brokermentioning

confidence: 99%

Privacy-Friendly Business Models for Location-Based Mobile Services

Liu

Bonazzi

Fritscher

et al. 2011

J. theor. appl. electron. commer. res.

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“…Where the eventual service ideally leads to network value as well as customer value. In terms of applicability one can state that the model is successfully used regarding the development of business models for designing business models for mobile services (Haaker et al, 2006), for insurance intermediaries , for the description of critical design issues for IPTV and in context-aware mobile services (De Reuver & Haaker, 2009). …”

Section: Positioning the Research In The Diffusion Processmentioning

confidence: 99%

“…To develop insight into the way organizations can design well-thought business models, designers need to understand the design issues in business models and their practitioner and/or researcher) of eminent importance to the viability and sustainability of the business model under investigation (De Reuver & Haaker, 2009). In this section the generic design issues for audiovisual heritage services are addressed that are derived from the original authors .…”

Section: Business Model Componentsmentioning

confidence: 99%

A consumer perspective on moving images: The design and adoption of public audiovisual heritage services in the Netherlands

Ongena¹

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“…This situation may change rapidly however, due to the increased capabilities and reduced prices of mobile devices, sensors, and wireless networks, and due to the introduction of new marketing strategies and service delivery models (De Reuver & Haaker, 2009). …”

Section: Context-aware Computingmentioning

confidence: 99%

On the Application of Autonomic and Context-Aware Computing to Support Home Energy Management

Shishkov¹,

Warnier²,

Sinderen³

2010

Proceedings of the 12th International Conference on Enterprise Information Systems

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Abstract:Conventional energy sources are becoming scarce and with no (eco-friendly) alternatives deployed at a large scale, it is currently important finding ways to better manage energy consumption. We propose in this paper ICT-related solution directions that concern the energy consumption management within a household. In particular, we consider two underlying objectives, namely: (i) to minimize the energy consumption in households; (ii) to avoid energy consumption peaks for larger residential areas. The proposed solution directions envision a service-oriented approach that is used to integrate ideas from Autonomic Computing and Context-aware Computing: the former influences our considering a selective on/off powering of thermostatically controlled appliances, which allows for energy redistribution over time; the latter influences our using context information to analyze the energy requirements of a household at a particular moment and based on this information, appliances can be powered down. Household-internally, this can help adjusting energy consumption as low as it can be with no violation of the preferences of residents. Area-wise, this can help avoiding energy consumption peaks. It is expected thus that such an approach can contribute to the reduction of home energy consumption in an effective and user-friendly way. Our proposed solution directions are not only introduced and motivated but also partially elaborated through a small illustrative example.

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Designing viable business models for context-aware mobile services

Cited by 101 publications

References 22 publications

Privacy-Friendly Business Models for Location-Based Mobile Services

Privacy-Friendly Business Models for Location-Based Mobile Services

A consumer perspective on moving images: The design and adoption of public audiovisual heritage services in the Netherlands

On the Application of Autonomic and Context-Aware Computing to Support Home Energy Management

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