Prior studies have highlighted the impact of electronic word-of-mouth (e-WOM) communication on s-commerce adoption behavior and its important role in helping s-commerce users sustain continuous participation. Despite empirical support, users continue to switch between s-commerce platforms at a high rate despite being actively engaged in e-WOM communication. Hence, the goal of this study is to better understand the mediating influence of trust and commitment on e-WOM communication and continuous-use behavior. This study adopts commitment-trust theory as its underpinning theoretical basis to prove this hypothesis. Data were collected using a web survey technique and analyzed using SmartPLS. The findings of this study demonstrate that trust and commitment significantly mediate the relationship between the 1) perceived utility of e-WOM and continuous intention and 2) perceived enjoyment of e-WOM and continuous intention. This study scientifically proves that a user’s decision to continuously use a s-commerce platform and actively engage in e-WOM activities is mediated by the positive commitment and trust they have toward the s-commerce platform.
With the advantages of spatial multiplexing multi input multi output (MIMO) systems in terms of high transmission capacity, the high complexity of the detector at the receiver side of such systems is a major issue. Performance, in terms of bit error rate (BER) is studied for bit interleaved coded modulation (BICM) MIMO systems. List based generation of (bits) soft values is considered for 2 by 2, 4 by 4 systems with 16,64 quadrature amplitude modulation (QAM) and different list sizes utilizing a non systematic convolutional code. Using a sphere detector partial tree search, a scheme is suggested and shown to be more computationally efficient (in terms of the average number of scanned nodes) than a reported alternative for block, flat fading channels. Simulation results reveal that performance in terms of BER can still be maintained.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.