Refine
Document Type
- Doctoral Thesis (2)
Language
- English (2)
Has Fulltext
- yes (2)
Is part of the Bibliography
- no (2)
Keywords
- Mobile (2) (remove)
Institute
Three Essays on Understanding Mobile Consumer Behavior: Business Models, Perceptions, and Features
(2016)
For about a decade, consumers have been carrying the Internet in their pockets. The rapid penetration of modern smartphones has meant that more than two-thirds of the people in the West can access and use online resources, anytime and anywhere. Consumers also can communicate and share their consumption experiences instantaneously. Platforms reach users for time-critical events through highly personal communication channels, in the sense that smartphones serve as constant companions. Many mobile applications and their basic services and contents also are available for free. The digital and mobile worlds thus are changing the very means of communication, suggesting the powerful need for marketing research and practice to find the opportunities and meet the challenges of the mobile Internet. In particular, scientific investigations are required to describe new business models in the free e-service industry and the consumer behavior affected by mobile features. This thesis examines these topics in three essays.
Study 1 considers business models that offer their services without charge. Offering services for free is symptomatic of not only mobile apps (90% of all apps are available for free) but the digital economy in general. For companies offering free e-services, this situation raises several important questions, in that, without any access device restrictions, how do customers of free e-services contribute value without paying? What are the nature and dynamics of nonmonetary value contributions by nonpaying customers? With a literature review and interviews with senior executives of free e-service providers, Study 1 presents a comprehensive overview of nonmonetary value contributions in the free e-service sector, including word of mouth, co-production, and network effects. Moreover, adding attention and data into this framework reveals two further aspects that have not been addressed in prior customer value research. By putting the findings in the context of the existing literature on customer value and customer engagement, this study sheds light on the complex processes of value creation in the emerging e-service sector, while advancing marketing and service research in general.
Study 2 deepens the findings from the first study; specifically, the focus is on the way that mobile users co-produce content and how this contribution is perceived by recipients in the network. With field data and a scenario experiment, this study demonstrates that recipients appreciate mobile-generated customer reviews fundamentally differently from other reviews. In particular, they discount the helpfulness of mobile reviews, due to their text-specific content and style particularities. The very fact that a review has been identified as written on a mobile device also lowers recipients’ perceptions of its value. Recipients use information about the device as a source cue to assess their compatibility with the review contribution channel. If they perceive themselves as compatible with the method used to generate the review (mobile or non-mobile), recipients regard the review as more helpful, because they attribute the review to the quality of the reviewed subject. If they perceive it as incompatible though, recipients assume that the review reflects the personal dispositions of the reviewer and discount its helpfulness.
Finally, Study 3 takes up the attention and cross-market network effects in a mobile setting; these were two nonmonetary dimensions identified by Study 1. Platform providers should develop measures to draw the attention of nonpaying customers to the offers of their paying customers. One attention-grabbing mobile-specific feature is push notifications to the device, which provide information about temporally or spatially relevant events. More concretely, Study 3 investigates how mobile push notifications remind users of upcoming deadlines in online auctions and therefore improve late bidding success. Late bidding is a prevalent strategy, in which bidders submit their bids at the very end of an online auction. This research uses field data about an online auction platform to demonstrate that late bidders use these mobile push notifications more frequently than do bidders with different bidding patterns. Within the group of late bidders, the chance to win an auction increases with their use of push notifications. After a mobile push notification, late bidders submit bids through mobile devices but also through non-mobile channels. Less experienced late bidders also benefit from push notifications, which increase their chances of success.
In summary, this dissertation contributes to an enhanced understanding of mobile consumer behavior by using various methods, including qualitative interviews, field observations, and online experiments. From a theoretical perspective, it contributes to current knowledge about nonmonetary costumer value contributions in general and their role in mobile settings in particular. This thesis highlights the role of mobile devices in co-production and perceptions of co-produced content. It also reveals how mobile-specific interactive features, like push notifications, affect late bidding efficiency. Therefore, it specifies the role of mobile devices in cross-market effects, in that they enable the platform to direct the relationship between buyers and sellers. The insights presented herein encourage managers to reevaluate their current practices, think about whether they should label co-produced content as generated through a mobile channel or not, and contemplate whether to develop mobile push notifications as helpful features for users (not as intrusive marketing messages).
Top-k Semantic Caching
(2015)
The subject of this thesis is the intelligent caching of top-k queries in an environment with high latency and low throughput. In such an environment, caching can be used to reduce network traffic and improve response time. Slow database connections of mobile devices and to databases, which have been offshored, are practical use cases.
A semantic cache is a query-based cache that caches query results and maintains their semantic description. It reuses partial matches of previous query results. Each query that is processed by the semantic cache is split into two disjoint parts: one that can be completely answered with tuples of the cache probe query, and another that requires tuples to be transferred from the server (remainder query).
Existing semantic caches do not support top-k queries, i.e., ordered and limited queries. In this thesis, we present an innovative semantic cache that naturally supports top-k queries. The support of top-k queries in a semantic cache has considerable effects on cache elements, operations on cache elements -- like creation, difference, intersection, and union -- and query answering. Hence, we introduce new techniques for cache management and query processing. They enable the semantic cache to become a true top-k semantic cache.
In addition, we have developed a new algorithm that can estimate the lower bounds of query results of sorted queries using multidimensional histograms. Using this algorithm, our top-k semantic cache is able to pipeline partial query results of top-k queries. Thereby, query execution performance can be significantly increased.
We have implemented a prototype of a top-k semantic cache called IQCache (Intelligent Query Cache). An extensive and thorough evaluation with various benchmarks using our prototype demonstrates the applicability and performance of top-k semantic caching in practice. The experiments prove that the top-k semantic cache invariably outperforms simple hash-based caching strategies and scales very well.