The Experts below are selected from a list of 2376 Experts worldwide ranked by ideXlab platform
Eric K Clemons - One of the best experts on this subject based on the ideXlab platform.
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managing the costs of informational privacy pure Bundling as a Strategy in the individual health insurance market
Journal of Management Information Systems, 2000Co-Authors: Matt E Thatcher, Eric K ClemonsAbstract:Advances in genetic testing and data mining technologies have increased the availability of genetic information to insurance companies and insureds (applicants and policy holders) in the individual health insurance market (IHIM). Regulators, concerned that insurance companies will use this information to discriminate against applicants who have a genetic risk factor but who are still healthy, have implemented genetic privacy legislation in at least 18 states. However, in previous work we have demonstrated that such legislation will have unintended consequences - it will reduce consumer participation in the market without making those remaining better off. This paper identifies a mechanism, a pure Bundling Strategy, that insurance companies may implement in this regulatory environment to restore (or maximize) consumer participation in the market and to discourage such discrimination among insureds. This problem is examined through System Dynamics, a simulation-based modeling technique. The results will have significant implications for policy designs implemented by insurance companies, and for legislation implemented by industry regulators, and therefore, for the insurability of the individuals that rely on this market for health insurance coverage.
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managing the costs of informational privacy Bundling as a Strategy in the individual health insurance market
Hawaii International Conference on System Sciences, 2000Co-Authors: Matt E Thatcher, Eric K ClemonsAbstract:Advances in genetic testing and data mining technologies have increased the availability of genetic information to insurance companies and insureds (applicants and policy holders) in the individual health insurance market (IHIM). Regulators, concerned that insurance companies will use this information to discriminate against applicants who have a genetic risk factor but who are still healthy, have implemented genetic privacy legislation in at least 18 states. However, in previous work we have demonstrated that such legislation will have unintended consequences-it will reduce consumer participation in the market without making those remaining better off. This paper identifies a mechanism, a Bundling Strategy, that insurance companies may implement in this regulatory environment to restore (or maximize) consumer participation in the market and to discourage such discrimination among insureds. This problem is examined through simulation modeling. The results will have significant implications for policy designs implemented by insurance companies, for legislation implemented by industry regulators, and therefore, for the insurability of the individuals that rely on this market for health insurance coverage.
Scott R Hiller - One of the best experts on this subject based on the ideXlab platform.
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profitably Bundling information goods evidence from the evolving video library of netflix
Journal of Media Economics, 2017Co-Authors: Scott R HillerAbstract:Using a unique dataset of the Netflix video on demand library, this article measures the characteristics of information goods important when employing a strategic Bundling Strategy. By matching the...
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profitably Bundling information goods evidence from the evolving video library of netflix
Social Science Research Network, 2016Co-Authors: Scott R HillerAbstract:Using a unique dataset of the Netflix video on demand library, this article measures the characteristics of information goods important for strategically employing a mixed Bundling Strategy. By matching the titles entering and exiting the library to their relevant properties, I use a characteristic approach to determine when the value to Netflix of adding a title exceeds the licensing fee and when the displacement effect associated with a presence in the library dictates that the title will be offered only as a pure component. Results show that new products are more profitable to bundle, but are offered for shorter lengths of time, and that titles of median commercial success are bundled more frequently than the most and least successful. The number of similar films exiting the library is important to how likely a film is to enter, indicating strategic Bundling. These results are generalizable to the streaming video industry and any information goods with rapidly diminishing marginal utility.
Matt E Thatcher - One of the best experts on this subject based on the ideXlab platform.
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managing the costs of informational privacy pure Bundling as a Strategy in the individual health insurance market
Journal of Management Information Systems, 2000Co-Authors: Matt E Thatcher, Eric K ClemonsAbstract:Advances in genetic testing and data mining technologies have increased the availability of genetic information to insurance companies and insureds (applicants and policy holders) in the individual health insurance market (IHIM). Regulators, concerned that insurance companies will use this information to discriminate against applicants who have a genetic risk factor but who are still healthy, have implemented genetic privacy legislation in at least 18 states. However, in previous work we have demonstrated that such legislation will have unintended consequences - it will reduce consumer participation in the market without making those remaining better off. This paper identifies a mechanism, a pure Bundling Strategy, that insurance companies may implement in this regulatory environment to restore (or maximize) consumer participation in the market and to discourage such discrimination among insureds. This problem is examined through System Dynamics, a simulation-based modeling technique. The results will have significant implications for policy designs implemented by insurance companies, and for legislation implemented by industry regulators, and therefore, for the insurability of the individuals that rely on this market for health insurance coverage.
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managing the costs of informational privacy Bundling as a Strategy in the individual health insurance market
Hawaii International Conference on System Sciences, 2000Co-Authors: Matt E Thatcher, Eric K ClemonsAbstract:Advances in genetic testing and data mining technologies have increased the availability of genetic information to insurance companies and insureds (applicants and policy holders) in the individual health insurance market (IHIM). Regulators, concerned that insurance companies will use this information to discriminate against applicants who have a genetic risk factor but who are still healthy, have implemented genetic privacy legislation in at least 18 states. However, in previous work we have demonstrated that such legislation will have unintended consequences-it will reduce consumer participation in the market without making those remaining better off. This paper identifies a mechanism, a Bundling Strategy, that insurance companies may implement in this regulatory environment to restore (or maximize) consumer participation in the market and to discourage such discrimination among insureds. This problem is examined through simulation modeling. The results will have significant implications for policy designs implemented by insurance companies, for legislation implemented by industry regulators, and therefore, for the insurability of the individuals that rely on this market for health insurance coverage.
Zhu Han - One of the best experts on this subject based on the ideXlab platform.
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data services sales design with mixed Bundling Strategy a multidimensional adverse selection approach
IEEE Internet of Things Journal, 2020Co-Authors: Yanru Zhang, Dusit Niyato, Ping Wang, Zhu HanAbstract:In the era of the Internet of Things (IoT), an immense amount of data is generated from numerous sensors and devices. Data as a service (DaaS) represents a new market whose time has come, and DaaS-based businesses are emerging quickly. Businesses across sectors begin seeing their data not only as fundamentally valuable but economically viable to distribute. Due to the exponential growth of the DaaS market, the current pricing models gradually become less suitable for the selling of data sets. A more sophisticated pricing Strategy is needed to unlock the value of that data for the data vendor’s (DV’s) revenue growth and their customers’ benefits such as online service providers (SPs). In this article, we aim to maximize the DV’s profits by designing a mixed sales mechanism, which allows the DV to sell data sets separately or bundled. Particularly, we apply a multidimensional adverse selection model from contract theory to model the data set trading between DVs and SPs. The DV’s surplus maximization problem is solved in the single-product case first, then extended to the multiproduct case. Furthermore, the analysis of the solution of the pricing Strategy in single-product and multiproduct cases is provided. Finally, the simulation results show that the proposed pricing model can improve the DV’s profits efficiently.
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smart data pricing models for the internet of things a Bundling Strategy approach
IEEE Network, 2016Co-Authors: Dusit Niyato, Dinh Thai Hoang, Nguyen Cong Luong, Ping Wang, Dong In Kim, Zhu HanAbstract:The Internet of Things (IoT) has emerged as a new paradigm for the future Internet. In IoT, devices are connected to the Internet and thus are a huge data source for numerous applications. In this article, we focus on addressing data management in IoT through using a smart data pricing (SDP) approach. With SDP, data can be managed flexibly and efficiently through intelligent and adaptive incentive mechanisms. Moreover, data is a major source of revenue for providers and partners. We propose a new pricing scheme for IoT service providers to determine the sensing data buying price and IoT service subscription fee offered to sensor owners and service users, respectively. Additionally, we adopt the Bundling Strategy that allows multiple providers to form a coalition and offer their services as a bundle, attracting more users and achieving higher revenue. Finally, we outline some important open research issues for SDP and IoT.
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smart data pricing models for internet of things iot a Bundling Strategy approach
arXiv: Computer Science and Game Theory, 2015Co-Authors: Dusit Niyato, Dinh Thai Hoang, Nguyen Cong Luong, Ping Wang, Dong In Kim, Zhu HanAbstract:Internet of things (IoT) has emerged as a new paradigm for the future Internet. In IoT, enormous devices are connected to the Internet and thereby being a huge data source for numerous applications. In this article, we focus on addressing data management in IoT through using a smart data pricing (SDP) approach. With SDP, data can be managed flexibly and efficiently through intelligent and adaptive incentive mechanisms. Moreover, it is a major source of revenue for providers and partners. We propose a new pricing scheme for IoT service providers to determine the sensing data buying price and IoT service subscription fee offered to sensor owners and service users, respectively. Additionally, we adopt the Bundling Strategy that allows multiple providers to form a coalition and bid their services as a bundle, attracting more users and achieving higher revenue. Finally, we outline some important open research issues for SDP and IoT.
Yong Tan - One of the best experts on this subject based on the ideXlab platform.
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duopoly pricing Strategy for information products with premium service free product or Bundling
Journal of Management Information Systems, 2016Co-Authors: Zan Zhang, Guofang Nan, Yong TanAbstract:AbstractMany software firms, especially mobile app providers, offer perpetually free basic products to users, but premiums are charged for access to the additional features or functionalities. While the free offering helps capture potential customers, it might cannibalize the sales of premium goods or services. This paper adopts a game theoretical approach to examine the impact of free offering on the competition between two firms in the presence of network effects. The firms can either offer a free core product and a paid service or offer them as a bundle. The core product has stand-alone value and can be used separately but the value-added service has no value without the core product. We derive the market equilibria and present conditions under which the free offering Strategy outperforms the Bundling Strategy. We show that when a firm’s core product has a sufficient advantage in product quality, it is better for this firm to sell the bundle but for the other to use free Strategy. However, if the core ...
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duopoly pricing Strategy for information products with premium service free product or Bundling
2016Co-Authors: Zan Zhang, Guofang Nan, Yong TanAbstract:Many software firms, especially mobile app providers, offer perpetually free basic products to users, but premiums are charged for access to the additional features or functionalities. While the free offering helps capture potential customers, it might cannibalize the sales of premium goods or services. This paper adopts a game theoretical approach to examine the impact of free offering on the competition between two firms in the presence of network effects. The firms can either offer a free core product and a paid service or offer them as a bundle. The core product has stand-alone value and can be used separately but the value-added service has no value without the core product. We derive the market equilibria and present conditions under which the free offering Strategy outperforms the Bundling Strategy. We show that when a firm’s core product has a sufficient advantage in product quality, it is better for this firm to sell the bundle but for the other to use free Strategy. However, if the core products are similar in terms of quality, it is optimal for them to use the same strategies. Whether to offer a free product depends largely on the core products’ quality. We also show that the firms may be caught in a prisoner’s dilemma when both adopt the free Strategy. Finally, we find that the profitability of the firm that offers a free product always increases in network effects intensity and market size, but this is not the case for the firm that sells the bundle. This study contributes to understanding the behavior of feature-limited free offering in a duopoly setting. Our findings also provide insights into the design of free product and the impact of network effects on the firms’ offering decisions.
