Design of Robust Business-to-Business Electronic Marketplaces with Guaranteed Privacy

Kalvenes, Joakim; Basu, Amit

doi:10.1287/mnsc.1060.0570

Cited by 31 publications

(15 citation statements)

References 16 publications

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“…On the other hand, market participants may want to conceal transaction data to protect their privacy (Kalvenes and Basu 2006). Prior economics literature has analyzed the effects of information sharing in a one-level market (e.g., Gal-Or 1985); however, it is not clear whether information transparency about competitors' cost would benefit a two-level e-market with oligopolistic competition existing in both upstream and downstream industries.…”

Section: Introductionmentioning

confidence: 99%

The Effects of Information Transparency on Suppliers, Manufacturers, and Consumers in Online Markets

Zhou

Zhu

2010

Marketing Science

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We present a method to determine how much of a radical innovation's new demand is due to cannibalizing the firm's other products, rather than drawing from competition or generating primary demand. 1024(Continues on page ii) T his paper looks into the effects of information transparency on market participants in an online trading environment. We study these effects in business-to-business electronic markets with firms competing in both upstream and downstream industries. The prior literature generally assumes that either the downstream firm (buyer) or the upstream firm (seller) is a monopoly. It is not clear whether information transparency would still create value if both buyers and sellers face oligopolistic competition, where the benefits of information transparency could be competed away. To answer this question, we first develop a simple two-echelon e-market model and then extend the model to more general settings. We find that information transparency can create value for the overall e-market, yet it affects buyers and sellers very differently: one side will be hurt, depending on the competition mode (Cournot or Bertrand) in the downstream. This suggests that a manufacturer-owned, a supplier-owned, and a neutral e-market will have different preferences for information transparency. Finally, we find that information transparency can hurt consumers when the downstream industry engages in Bertrand competition. This is a surprising result given the expectation that online markets create substantial value for consumers.

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Section: Introductionmentioning

confidence: 99%

The Effects of Information Transparency on Suppliers, Manufacturers, and Consumers in Online Markets

Zhou

Zhu

2010

Marketing Science

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“…The improvements were made from multiple perspectives, such as designing better pricing schemes (Yoo et al 2002;Dasgupta et al 2005), privacy and security enhancing mechanisms (Padovan et al 2002;Rohm and Pernul 2000;Kalvenes and Basu 2006), improved match between buyers and sellers (Gerber et al 2004;Noia et al 2004;Wu and Kleindorfer 2005;Gomber and Maurer 2004), and efficient message exchange protocols (Vaishnavi and William 2003).…”

Section: Em Designmentioning

confidence: 99%

A literature review of electronic marketplace research: Themes, theories and an integrative framework

Wang

Zheng

et al. 2008

Inf Syst Front

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In this paper, we presented a literature review of the current status of electronic marketplace (EM) research. It consists of 109 journal articles published in 19 journals that are appropriate outlets for electronic commerce research. The results show that an increasing volume of EM research has been conducted from diverse theoretical perspectives. Based on content analysis, we identified eight research themes, five types of methodologies and six categories of background theories which most EM researches were grounded in. By combining research themes and the patterns of the background theories, an integrative framework of EM was proposed to represent the paradigms of EM researches. The framework shows that EM phenomena can be addressed from three perspectives: information systems, inter-organizational/social structure and strategic management perspectives. This framework suggests a parsimonious and cohesive way to explain key EM research issues such as EM adoption, success and impact.

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“…Examples of earlier laws regarding consumer privacy are the Fair Credit Reporting Act of 1970, which established consumers' rights regarding their financial information, and the Health Insurance Portability and Accountability Act (HIPAA) of 1996 in the healthcare industry. Privacy concerns have become increasingly important with innovations in information technology and e-commerce (Kalvenes and Basu 2006). For example, public concerns about Web privacy led to the halt of data sharing between a Web ad company, DoubleClick, and a marketing database company, Abacus, in 1999 (Winer 2001).…”

Section: Introduction Data Privacy Problemmentioning

confidence: 99%

Drive More Effective Data-Based Innovations: Enhancing the Utility of Secure Databases

Qian

Xie

2015

Management Science

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D atabases play a central role in evidence-based innovations in business, economics, social, and health sciences.In modern business and society, there are rapidly growing demands for constructing analytically valid databases that also are secure and protect sensitive information to meet customer and public expectations, to minimize financial losses, and to comply with privacy regulations and laws. We propose new data perturbation and shuffling (DPS) procedures, named MORE, for this purpose. As compared with existing DPS methods, MORE can substantially increase the utility of secure databases without increasing disclosure risk. MORE is capable of preserving important nonmonotonic relationships among attributes, such as the inverted-U relationship between competition and innovation. Maintaining such relationships is often the key to determining optimal levels of policy and managerial interventions. MORE does not require data to be of particular types or have particular distributional shapes. Instead, it provides unified, flexible, and robust algorithms to mask general types of confidential variables with arbitrary distributions, thereby making it suitable for general-purpose data masking. Since MORE nests the commonly used generalized linear models as special cases, a much wider range of statistical analyses can be conducted by using the secure databases with results similar to those achieved by using the original databases. Unlike existing DPS approaches that typically require a joint model for all variables, MORE requires no modeling of nonconfidential variables and thus further increases the robustness of secure databases. Evaluation of MORE through Monte Carlo simulation studies and empirical applications demonstrates that it performs better than existing data-masking methods.Data, as supplemental material, are available at http://dx.

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Design of Robust Business-to-Business Electronic Marketplaces with Guaranteed Privacy

Cited by 31 publications

References 16 publications

The Effects of Information Transparency on Suppliers, Manufacturers, and Consumers in Online Markets

The Effects of Information Transparency on Suppliers, Manufacturers, and Consumers in Online Markets

A literature review of electronic marketplace research: Themes, theories and an integrative framework

Drive More Effective Data-Based Innovations: Enhancing the Utility of Secure Databases

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