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Description
Social shopping has emerged as a popular online retailing segment. Social shopping revolves around online communities that bring consumers together to shop for deals. Online retailers have been making significant investments to encourage consumers to join online communities linked to their websites in the hope that social interactions among consumers

Social shopping has emerged as a popular online retailing segment. Social shopping revolves around online communities that bring consumers together to shop for deals. Online retailers have been making significant investments to encourage consumers to join online communities linked to their websites in the hope that social interactions among consumers will increase consumption rates. However, the assumption that social interactions increase consumption rates in social shopping remains largely untested in empirical settings. Also, the mechanisms of such an effect remain unclear. Moreover, extant literature has overlooked the role played by elements of the marketing mix, including product characteristics and the commercial context, in defining the effect that social interaction mechanisms have on consumption rates in this focused context. Furthermore, common knowledge in the operations management discipline challenges the largely held assumption, in the social interactions literature, that increasing consumption rates will always be beneficial to online retailers. Higher consumption rates may lead to stockouts, leading to lower service levels. This dissertation develops and empirically tests a theoretical framework that addresses these managerially relevant issues. Specifically, the investigation centers on the effects of social interaction mechanisms on consumption rates in social shopping. In turn, it assesses the nature of the relationship between consumption rates and service levels, after controlling for inventory provision. Finally, it assesses the role played by elements of the marketing mix in defining the relationship between social interaction mechanisms and consumption rates in this focused context. The research methodology uses experiments as the primary source of data collection, and employs econometrics techniques to statistically assess the conceptual framework. The results from the empirical analysis provide interesting insights. First, they unveil influential consumers in social shopping according to relational and structural elements of the social network of consumers and time of purchase. Second, the influence of early buyers' purchases on consumption rates becomes weaker when the quality of the products being offered as part of a deal increases, but it becomes stronger when the price of those products increases. Finally, as deals' consumption rates increase, their service levels decrease at a faster pace.
ContributorsSodero, Annibal (Author) / Rabinovich, Elliot (Thesis advisor) / Sinha, Rajiv (Committee member) / Maltz, Arnold (Committee member) / Arizona State University (Publisher)
Created2012
Description
The Internet of Things (IoT) refers to the system of 'smart' inter-connected networked devices that contain sensors to communicate information to the Internet. Due to the complex and intricate nature of IoT technologies, in addition to the many applications of IoT, the IoT has the potential to revolutionize how we

The Internet of Things (IoT) refers to the system of 'smart' inter-connected networked devices that contain sensors to communicate information to the Internet. Due to the complex and intricate nature of IoT technologies, in addition to the many applications of IoT, the IoT has the potential to revolutionize how we interact and work every day. The information gathered through IoT is aggregated and can be used to improve business decision making, as well as contribute to a greater society. IoT spans various market sectors including retail, energy, and transportation. IoT can also be used to improve efficiencies within the supply chain. By increasing the transparency of items in-transit, in addition to providing greater visibility about inventory usage and consumer consumption habits, there are many implications of IoT that can be utilized to transform logistical processes. While some literature exists that discusses the impact of the IoT on the supply chain, the findings are limited in size and scope and tend to focus on particular implementations of IoT technologies. Further research is necessary to evaluate the impact of IoT to advance supply chain best practices and to understand the potential implications of the IoT in improving supply chain planning and distribution. This thesis aims to address this gap in the literature. By focusing on supply chain management, the thesis will look at the context in which the IoT operates, the market and implications of IoT devices, current logistics processes, the capabilities of IoT, as well as the potential problems and weaknesses with the implementation of the IoT.
ContributorsBentley, Garrett Burton (Author) / Rabinovich, Elliot (Thesis director) / Kellso, James (Committee member) / Department of Information Systems (Contributor) / Department of Marketing (Contributor) / Department of Supply Chain Management (Contributor) / Barrett, The Honors College (Contributor)
Created2016-05