The Role of the Mangement Sciences in Research on Personalization

We present a review of research studies that deal with personalization. We synthesize current knowledge about these areas, and identify issues that we envision will be of interest to researchers working in the management sciences. We take an interdisciplinary approach that spans the areas of economics, marketing, information technology, and operations. We present an overarching framework for personalization that allows us to identify key players in the personalization process, as well as, the key stages of personalization. The framework enables us to examine the strategic role of personalization in the interactions between a firm and other key players in the firm's value system. We review extant literature in the strategic behavior of firms, and discuss opportunities for analytical and empirical research in this regard. Next, we examine how a firm can learn a customer's preferences, which is one of the key components of the personalization process. We use a utility-based approach to formalize such preference functions, and to understand how these preference functions could be learnt based on a customer's interactions with a firm. We identify well-established techniques in management sciences that can be gainfully employed in future research on personalization.CRM, Persoanlization, Marketing, e-commerce,

Energy Disaggregation via Adaptive Filtering

The energy disaggregation problem is recovering device level power consumption signals from the aggregate power consumption signal for a building. We show in this paper how the disaggregation problem can be reformulated as an adaptive filtering problem. This gives both a novel disaggregation algorithm and a better theoretical understanding for disaggregation. In particular, we show how the disaggregation problem can be solved online using a filter bank and discuss its optimality.Comment: Submitted to 51st Annual Allerton Conference on Communication, Control, and Computin

The Value of Online Information Privacy: An Empirical Investigation

Concern over online information privacy is widespread and rising. However, prior research is silent about the value of information privacy in the presence of potential benefits from sharing personally identifiable information. Analyzing individuals' trade-offs between the benefits and costs of providing personal information to websites revealed that benefits, monetary reward and future convenience, significantly affect individuals' preferences over websites with differing privacy policies. Quantifying the value of website privacy protection revealed that among U.S. subjects, protection against errors, improper access, and secondary use of personal information is worth US $30.49 - 44.62. Finally, three distinct segments of Internet consumers were determined: privacy guardians, information sellers and convenience seekers.

The Value of Online Information Privacy: An Empirical Investigation

Concern over online information privacy is widespread and rising. However, prior research is silent about the value of information privacy in the presence of potential benefits from sharing personally identifiable information. We analyzed individuals' trade-offs between the benefits and costs of providing personal information to websites. We found that benefits - monetary reward and future convenience - significantly affect individuals' preferences over websites with differing privacy policies. We also quantified the value of website privacy protection. Among U.S. subjects, protection against errors, improper access, and secondary use of personal information is worth US$30.49 - 44.62. Finally, we identified three distinct segments of Internet consumers - privacy guardians, information sellers, and convenience seekers.Information privacy, conjoint analysis, cost-benefit tradeoff, privacy concern, monetary reward, time-saving service

The effects of loyalty programs on customer satisfaction, trust, and loyalty toward high- and low-end fashion retailers

This study examines the differential effects of the benefits customers receive from a loyalty program (LP) on satisfaction with the LP, trust in the LP, and store loyalty for high- and low-end fashion retailers. With survey data from U.S. LP subscribers, the study tests the relationships using multiple regressions and analysis of covariance. The results show that symbolic benefits are more important for high-end fashion store consumers' satisfaction with the LP; conversely, utilitarian benefits increase consumers' satisfaction with the LP more in low-end fashion retailing, whereas hedonic benefits increase consumers' satisfaction with the LP in both types of retailers. All benefits in both types of retailers affect trust in the LP. Finally, satisfaction with and trust in the LP are important drivers of loyalty to the retailer. The findings have important implications on how managers of high- and low-end fashion retailing can effectively design their LP rewards to maximize loyalty

Horizontal and Vertical Analysis of Privacy and Cyber-Security Markets

Deliverable 4.2 (\u201cHorizontal and Vertical Analysis of Privacy and Cyber-Security Markets\u201d) provides an in-depth discussion of economic incentives, stakeholder engagement and market opportunities in privacy and cyber-security. This report first introduces the reader to the horizontal market analysis, which covers firms active at the same stage of the production chain in the privacy and cyber-security industry and present key market segmentations.The report also presents the vertical analysis of players at different stages of the production chain in the PACS industry. These relations are covered as security in the supply chain is of utmost importance: only secure inputs ensure a secure product as final output. The report also covers engagement and assessment of stakeholders in the privacy and security chain and their relation to PACS in the ICT sector. The report gives several case studies on vertical relations and includes an empirical analysis of incentive schemes. The proposed innovation value chain connects inputs and outputs in the production of PACS goods and services and their relation to economic incentives.Finally, a preliminary scheme on mapping privacy and personal data product and service markets is proposed. Firms active in these markets can be categorized according to their generic value chain, where some use the identification of the user as key input and others do not. The report provides economic incentive templates that enable market players and regulators to potentially better map the markets.The following scheme outlines in brief the relation of the two deliverables D4.1 and D4.2 to the developed Privacy and Cyber-Security Market Scheme. It enables the reader to see what is covered in the different deliverables and to what deliverable he/she needs to turn in order to find the information of interest

The Economics of Privacy

This chapter reviews economic analyses of privacy. We begin by scrutinizing the “free market” critique of privacy regulation. Welfare may be non-monotone in the quantity of information, hence there may be excessive incentive to collect information. This result applies to both non-productive and productive information. Over-investment is exacerbated to the extent that personal information is exploited across markets. Further, the “free market” critique does not apply to overt and covert collection of information that directly causes harm. We then review research on property rights and challenges in determining their optimal allocation. We conclude with insights from recent empirical research and directions for future research.