The unrealized value of incentivized eWOM recommendations

While companies have recognized the perceived economic benefits of encouraging and managing electronic word-of-mouth (eWOM), the benefits may be understated. Companies take into account the influence on the audience. But, what about any effects on the person who communicates the eWOM? We explore the impact that incentivized eWOM has on communicator attitude. Using the saying is believing effect as our theoretical foundation, we suggest that providing eWOM induces a change in the communicator’s attitude. By generating and providing a biased recommendation, the communicator will believe the biased recommendation. Furthermore, the communicator is likely to remember the biased recommendation and will use it to update their attitude. We examine how valence of recommendations (negative versus positive) and the number of opportunities to recommend affect the change in attitude. Our findings indicate that providing recommendations changes communicator’s attitude. Implications of the results are discussed.     

Typologies of Banner Advertisements’ Attributes: A Content Analysis

The web has received significant amount of attention from advertising and consumer researchers investigating the impact of banner advertisement on consumers’ psychological and behavioral responses. However, no typology of banner advertisement has been identified yet, and the selection of banner advertisements as advertising stimuli has been carried out on the premise of personal judgment rather than scientific methodology. The identification of typology is important because different banner advertisement, such as static and pop-up, elicit different consumers’ responses. In addition the identification of a typology constitutes an advance to mid-range theory in a research domain. Hence, the purpose of this research is to identify the typologies of banner advertisements’ attributes such as type, number, shape, location, and size using content analysis. Specifically, nine banner advertisement types are identified as well as the typology of number, shape, location, and size of banner advertisements. Contributions of the research are discussed.     

Design limits and dynamic policy analysis

This paper characterizes the frequency domain properties of feedback control rules in linear systems in order to better understand how different policies affect outcomes frequency by frequency. We are especially concerned in understanding how reductions of variance at some frequencies induce increases in variance at others. Tradeoffs of this type are known in the control literature as design limits. Design limits are important in understanding the full range of effects of macroeconomic stabilization policies. We extend existing results to account for discrete time bivariate systems with rational expectations. Application is made to the evaluation of monetary policy rules.