Red Queen Competition through Innovations on a Digital Platform for Experience Goods

This study examines a dynamic process of competition, learning, and innovation, referred to as Red Queen, on a digital platform for trading experience goods. Specifically, by analyzing the package tours sold by 114 travel agencies on the world\u27s largest online travel platform - Trip.com, the study reveals initial evidence of Red Queen as a type of intra-platform competition and how it is played out by firms through continuous innovations. The findings suggest that the providers of experience goods, on a digital platform without intellectual property protection, should maintain appropriate innovation postures according to the type of innovations and level of rivalry in the markets. High performance may result from leading postures for incremental innovations, and from middle-of-the-road postures for radical innovations, especially in high-rivalry markets. These findings can help experience goods providers strategize what, how, and where to innovate in order to beat competition and improve performance on digital platforms

MAP estimation of the input of an oversampled filter bank from noisy subbands by belief propagation

International audienceOversampled filter banks perform simultaneously subband decomposition and redundancy introduction. This redundancy has been shown to be useful to combat channel impairments, when the subbands are transmitted over a wireless channel, as well as quantization noise. This paper describes an implementation of the maximum \emph{a posteriori} and the minimum mean-square error (MMSE) estimators of the input signal from the noisy quantized subbands obtained at the output of some transmission channel. The relations between the input samples and the noisy subband samples are described using a factor graph. Belief propagation is then applied to get the posterior marginals of the input samples. The experimental results show that when the channel is clear, a linear MMSE estimate is satisfying. But, the proposed approaches perform significantly better than a reconstruction using the linear MMSE estimator when the channel is noisy: a gain in terms of channel SNR of more than $2$~dB is observed

Modeling Hidden Nodes Collisions in Wireless Sensor Networks: Analysis Approach

This paper studied both types of collisions. In this paper, we show that advocated solutions for coping with hidden node collisions are unsuitable for sensor networks. We model both types of collisions and derive closed-form formula giving the probability of hidden and visible node collisions. To reduce these collisions, we propose two solutions. The first one based on tuning the carrier sense threshold saves a substantial amount of collisions by reducing the number of hidden nodes. The second one based on adjusting the contention window size is complementary to the first one. It reduces the probability of overlapping transmissions, which reduces both collisions due to hidden and visible nodes. We validate and evaluate the performance of these solutions through simulations

Assessment of structural characteristics of regenerated cellulolytic enzyme lignin based on a mild DMSO/[Emim]OAc dissolution system from triploid of Populus tomentosa Carr.

The structural characteristics of native lignin are essential for the further deconstruction of plant cell walls for value-added application of lignocellulosic biomass.</p