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,

Online Personalization And Information Sharing Under Horizontal Relationship

Customer preference information is of great importance for vendors to carry out price discrimination and targeted marketing. Advanced Internet technologies, especially web 2.0 and web-economy, have been provided accessibility and allowed vendors to acquire these information by the user-community and online personalization technologies. This study investigates an information market where the complementary firm pays to the vendor to indirectly acquire the customer preference information, which could be costly to acquire. We develop an economic model to examine vendor’s optimal information acquisition and sharing strategies under horizontal relationship under different payment formats of the complementary firm (i.e. fixed-fee or service-rate payment). We show that both payment formats improve the basic personalization service, and the basic personalization service is equal under two payment cases, but the extra personalization service under fixed-fee payment is higher than that under the service-rate payment. Nevertheless, the vendor’s equilibrium benefits are improved with information sharing under both payment formats. Moreover, although the complementary firm would get zero benefits under fixed-fee payment and positive benefits under service-rate payment, the customer preference information can be acquired under both cases. Our findings not only help researchers interpret why the vendors implement information sharing strategies, but also assist practitioners in developing better social commerce and cooperation strategy. The implications of this paper can shed light on how firms interact under horizontal relationship where a vendor possesses information superiority

Online shopping behavior in offline retail stores : strategic value for companies?

In a world where e-tailing and traditional in-store shopping live together and complement each other in several shopping activities (Chu, et. al, 2010), little is known about the possibility of an emerging reality in which online and offline shopping merge into one single phenomenon. The purpose of this dissertation is to explore whether consumers are willing to engage in a shopping behavior inside retail stores in a way that is similar to the one they have when shopping online. Additionally, it sheds light on the strategic value the online-offline shopping holds. To accomplish these objectives, a smartphone shopping scenario is designed to represent a situation that enables consumers to perform in-store shopping tasks in a digital manner, mixing and enhancing the features and benefits of e-tailing with traditional retail store experience. Moreover, a research model, that includes preliminary assumptions and eleven hypotheses to be tested, is designed to fundament the research methodology used. Based on this research model and the smartphone shopping scenario, a survey is conducted in order to collect empirical data on customer’s appraisal of the online-offline shopping process as well as their availability to permit recording their shopping data obtained after performing shopping tasks via smartphone. Furthermore, to access the strategic value of the online-offline shopping process, Resource-based View theory is used in order to identify the existence of possible sources of sustainable competitive advantage. The findings from the research show that respondents value the characteristics of the online-offline shopping process as well as they are willing to permit recording their own shopping data so that they are able to benefit from a contextual personalized shopping experience while shopping in traditional retail stores. The dissertation concludes that because customers value the characteristics of the online-offline shopping process they have a strong motivation to engage in an online-offline shopping behavior. Moreover, since they are willing to trade their shopping privacy for a contextual personalized shopping experience, it is plausible to admit that a strategy based on contextual personalization has potential to be strategic for retail companies. In fact, to generate such a strategy, the customer knowledge generated in the process is argued to be a firm resource that, combined with dynamic capabilities to leverage its utility in providing a contextual personalization experience, is considered to be a source of sustainable competitive advantage meaning the online-offline process has potential to be strategic to retail firms

DESIGN AND DELIVERY OF ELECTRONIC SERVICES: IMPLICATIONS FOR CUSTOMER VALUE IN ELECTRONIC FOOD RETAILING

Electronic food retailers can satisfy their customers more effectively if they understand how this particular market works. As in other service segments, the emergence of electronic business-to-customer services in the retail food industry poses questions for managers about the design of new food retailing services and the redesign of existing services for delivery through electronic channels. Important topics include characteristics of electronic service offerings, the typical operational configurations used to deliver electronic services, and the ways in which they relate to the effectiveness of electronic service delivery. We address this issue by developing a product-process matrix for understanding and analyzing electronic retailing services in general. We tailor the matrix to food retailing in particular. The product-process matrix allows electronic food retailers to determine in advance what features they need in a web site to serve their chosen market effectively.Consumer/Household Economics, Marketing, Research and Development/Tech Change/Emerging Technologies,

User-Generated Data Network Effects and Market Competition Dynamics

This Article defines User-Generated Data (“UGD”) network effects, distinguishes them from the more familiar concept of traditional network effects, and explores their implications for market competition dynamics. It explains that UGD network effects produce various efficiencies for digital service providers (“data platforms”) by empowering their services’ optimization, personalization, and continuous diversification. In light of these efficiencies, competition dynamics in UGD-driven markets tend to be unstable and lead to the formation of dominant multi-industry conglomerates. These processes will enhance social welfare because they are natural and efficient. Conversely, countervailing UGD network effects also empower data platforms to detect and neutralize competitive threats, price discriminate among users, and manipulate users’ behaviors. The realization of these effects will result in inefficiencies, which will undermine social welfare. After a comprehensive analysis of conflicting economic forces, this Article sets the ground for informed policymaking. It suggests that emerging calls to aggravate antitrust enforcement and to “break up” Big Tech are ill-advised. Instead, this Article calls for policymakers to draw inspiration from traditional network industries’ public utility and open-access regulations

Market bundling strategies in the horizontal portal industry

The arrival of the Internet offers opportunities for both incremental efficiency gains and complete industry redefinition, presenting new value propositions and hence leading to the emergence of new businesses and industries. One particular case is that of the horizontal portal industry, such portals being consistently the most visited sites on the Web. Nevertheless, despite ongoing market concentration, overall profitability remains low. In this paper we contend that, although the industry has great potential for value creation, value appropriation in such information-based businesses remains problematic. The only way to achieve it is through cross-market bundling; that is, portals selling their products packaged with Internet access and proprietary content through system competition. We support our claims with theoretical argument and empirical evidence, analyzing the information distribution value chain in its entirety.Portals; information goods; Internet advertising; Internet service providers; content provider;

DEVELOPING AND VALIDATING A QUALITY ASSESSMENT SCALE FOR WEB PORTALS

The Web portals business model has spread rapidly over the last few years. Despite this, there have been very few scholarly findings about which services and characteristics make a Web site a portal and which dimensions determine the customers’ evaluation of the portal’s quality. Taking the example of financial portals, the authors develop a theoretical framework of the Web portal quality construct by determining the number and nature of corresponding dimensions, which are: security and trust, basic services quality, cross-buying services quality, added values, transaction support and relationship quality. To measure the six portal quality dimensions, multi item measurement scales are developed and validated.Construct Validation, Customer Retention, E-Banking, E- Loyalty, Service Quality, Web Portals

The Value of “Bespoke”: Demand Learning, Preference Learning, and Customer Behavior

“Bespoke,” or mass customization strategy, combines demand learning and preference learning. We develop an analytical framework to study the economic value of bespoke systems and investigate the interaction between demand learning and preference learning. We find that it is possible for demand learning and preference learning to be either complements or substitutes, depending on the customization cost and the demand uncertainty profile. They are generally complements when the personalization cost is low and the probability of having high demand is large. Contrary to usual belief, we show that higher demand uncertainty does not necessarily yield more complementarity benefits. Our numerical study shows that the complementarity benefit becomes weaker when customers are more strategic. Interestingly, the substitute loss can occur when the personalization cost is small and the probability of having high demand is large, when customers are strategic.postprin

Identifying Effective Online Service Strategies: The Impact of Network Externalities and Organizational Lifecycle Stage

This study presents a framework for identifying effective online transaction-based service strategies that incorporates network externalities and organizational life cycle theories. The framework considers changes in marginal costs, marginal revenues, and service value as the company moves through its initial three life cycle stages (start-up, growth, and maturity). Propositions describe potentially effective strategies for service sites in each lifecycle stage. Each of the propositions is supported by real-world strategy examples and research related findings from three industries – online auctions, online career services and online travel services. Start-up strategies must focus on increasing the number of service users, growth companies need to differentiate themselves from their competitors, and large mature service providers can take advantage of their financial resources and service value by raising entry barriers to maintain their dominant position. This study provides a multi-theory perspective that can be used as a basis for further study of strategies used in these industries