• KSII Transactions on Internet and Information Systems (TIIS)
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• v.15 no.8
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• pp.3068-3085
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• 2021

The economics of big data knowledge, especially cloud computing and statistical data of consumer preferences, has attracted increasing academic and industry practitioners' attention. Firms nowadays require purchasing not only external private patent knowledge from other firms, but also proprietary big data knowledge to support their new product development. Extant research investigates pricing strategies of external private patent knowledge and proprietary big data knowledge separately. Yet, a comprehensive investigation of pricing strategies of these two types of knowledge is in pressing need. This research constructs an overarching pricing model of external private patent knowledge and proprietary big data knowledge through the lens of firm profitability as a knowledge transaction recipient. The proposed model can help those firms who purchase external knowledge choose the optimal knowledge structure and pricing strategies of two types of knowledge, and provide theoretical and methodological guidance for knowledge transaction recipient firms to negotiate with knowledge providers.

• Asia pacific journal of information systems
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• v.7 no.3
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• pp.109-124
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• 1997

Pricing information services, where congestion can threaten the efficient operation of information systems, has been studied in economics and information systems literature, Recent explosion of the Internet ana proliferation of multimedia content over the Internet have rekindled the research interest in designing pricing schedules for differentiated information services, In order for the information system to effectively serve users having heterogeneous needs, pricing rules for discriminated services should be considered. At the same time, when individual users' interest does not align with that of the organization that individual users belong to, organization-wide pricing policy should be devised to improve the value of the services rendered by the system. This paper, using a priority queuing model, addresses the need for such on incentive-compatible pricing for different information services.

• Journal of Digital Convergence
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• v.1 no.1
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• pp.189-212
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• 2003

The quality of Internet services such as VOD and Web storage services deteriorates as the number of users increases beyond a certain point. However, most of the pricing mechanisms in research as well as those in practice do not reflect such situations (i.e., congestion). The purpose of this paper is to show that different types of pricing mechanisms are required and to model such situations using game theory. We extend Fishburn & Odlyzko(1999) model, in which the service quality is the same for the different pricing schemes, to reflect the situations where the service quality is different between the different pricing schemes due to congestion.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2002.11a
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• pp.740-743
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• 2002

A flat-rate tariff for the high-speed Internet contributed to diffusion of the high-speed Internet in its infancy. But, according as the number of subscriber becomes over 9.20 million and the market arrives the maturity of market, the problems of flat-rate tariff begins appear and can be summarized as follows; as unfair payment, inefficience of resources distribution, and subsidy of tariff from light users to heavy users. Therefore, we need to find an efficient Internet pricing and then would like to find the implication about the pricing strategy by examining foreign cases that work usage-based pricing.

• Proceedings of the Korea Technology Innovation Society Conference
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• 2001.11a
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• pp.3-17
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• 2001

In this paper, we compare the market performances under circuit pricing whereby users are charged based on their length of usage time and under packet pricing whereby users are charged based on the amount of information received. We show that, if packet pricing is introduced, the market price rises contrary to the government's expectation but that the overall social welfare is unambiguously increased because packet pricing reflects the social cost properly while circuit pricing does not. Also, we show that, if delivery of multi-media files requires a much higher speed, a move to packet pricing lowers the price of multi-media transmission, thereby increasing the usage of multimedia data in the absence of congestion, which may not be the case in the presence of congestion.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.32 no.11B
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• pp.709-717
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• 2007

Pricing a network service aims for congestion control of the network as well as economic efficiency. A monopolistic supplier providing users with a network service on a shared link needs a pricing schedule that maximizes revenue under the link's bandwidth constraint and guarantees the bandwidth purchased by the users. In that case, nonlinear pricing is an efficient scheme which meets both requirements. This study reviews how nonlinear pricing can be applied to the network service under the constraint and shows that the nonlinear pricing may result in a fixed unit price of bandwidth as linear pricing when demand characteristics of the users follow a power law. Also, the way how the provider with incomplete information on the demand distribution seeks for the optimal pricing from the degree of the network congestion is introduced and the relationship between the development direction of the Internet and internet pricing is considered based on the results of the study.

• Journal of Information Technology Applications and Management
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• v.11 no.3
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• pp.23-33
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• 2004

Internet bid systems have been widely used recently. In those systems, the bid price is provided by the seller. When the bid price is set too high compared with the normal price, the successful bid rate can be decreased. Otherwise, when it is set too low based on inaccurate information, it can result in a successful bid with no profit at all. To resolve this problem, we propose an agent that automatically generates bid prices for sellers based on various costing methods such as the high-low point method, the scatter diagram method, and the learning curve method. Through performance experiments, we have found that the number of successful bids with appropriate profit can be increased using the bid pricing agent. Among the costing methods, the learning curve method has shown the best performance. Also, we discuss about how to design and implement the bid pricing agent.

• Journal of Information Technology Services
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• v.6 no.2
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• pp.19-33
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• 2007

The current advance of IT and the e-commerce triggers the wide practice of dynamic pricing in all industries although the price discrimination has been very cautiously applied in the limited areas in the past. The price discrimination which offers different prices for each customer depending on their preference and buying behaviors has recently gained attention as it could provide superior benefits to sellers. The wide adoption of price discrimination, on the other hand, is reported to face buyer resistances and complaints. Our limited understanding on the perception of price fairness, which we think is key concept in the price discrimination on the Internet-enabled transactions, motives us to investigate factors that affect the perception of price fairness. This study focuses on illusion of control and lateral customer relationship to investigate their effects on price fairness in online auction and group purchase context. By conducting laboratory experiments, our study demonstrates that customers' perception on illusion of control in price determination and advantageous lateral customer relationship significantly affect price fairness perception in both online auction and group purchase environment. The findings are expected to provide researchers and managers with useful insights to develop better pricing strategies and design effective dynamic pricing mechanisms.

• Journal of information and communication convergence engineering
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• v.13 no.2
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• pp.86-96
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• 2015

In mobile communication, mobile services [MSs] (e.g., phone calls, short/multimedia messages, and Internet data) incur a cost to both mobile users (MUs) and mobile service providers (MSPs). The proposed model MobPrice consists of dynamic data pricing schemes for mobile communication in order to achieve optimal usage of MSs at minimal prices. MobPrice inspires MUs to subscribe MSs with flexibility of data sharing and intra-peer exchanges, thereby reducing overall cost. The main contributions of MobPrice are three-fold. First, it proposes a novel k-level data-pricing (kDP) scheme for MSs. Second, it extends the kDP scheme with the notion of service-sharing-based pricing schemes to a collaborative peer-to-peer data-pricing (pDP) scheme and a cluster-based data-pricing (cDP) scheme to incorporate the notion of 'cluster' (made up of two or more MUs) in mobile communication. Third, our performance study shows that the proposed schemes are indeed effective in maximizing MS subscriptions and minimizing MS's price/user.

• Journal of Korea Technology Innovation Society
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• v.9 no.4
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• pp.740-758
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• 2006

This paper is related to the optimal pricing of Internet Backbone Services that are differentiated according to the size of the bandwidth required for applications with different quality sensitivities, Itdiscusses IBP (Internet Backbone Provider) optimal nonlinear pricing process in the presence of a congestion externality in addition to strategic behavior by users. In this scenario, the quality of service provided may reach its socially optimal level irrespective of strategic behavior by users and may be independent of the characteristics of the applications delivered over the Internet.