Social media influencer marketing: the factors that influence the consumers’ willingness to buy electronic products

Social media influencer marketing is one of the most popular digital marketing tools for marketers. Social media influencer (SMI) is a user who shares lives, experiences, attitudes, opinions and other information through text, pictures, audio, video, etc., having strong attractiveness and influence on ordinary social media users. Therefore, social media has dramatically changed the way people receive information and news. The gap of previous research only studies on specific social media platform (Facebook, Instagram and etc.), or focus on SMIs who are in beauty, fashion and food but ignore the impact of different types of products, such as electronic products. Although there are many marketers who are prone to adopt SMI marketing, they are lack theoretical guidance and expertise about what attributes of SMI have an impact on followers’ willingness to buy electronic products. The purpose of this study is to guide marketers how to choose the social media influencer that is suitable for their brand or matched their marketing goals, so as to improve the marketing effect. This paper is trying to identify the effects of various attributes of social media influencers on followers’ willingness to buy electronic products. An online questionnaire was used to collect primary data among Bilibili users who followed at least one technological social media influencer. The study takes Bilibili, Bilibili is currently one of the most popular social platforms for young people in China, with a large number of users and social media influencers, as a case, and the size of the sample was 148. Random sampling technique was used, and SPSS 28.0, factor analysis and regression analysis were used for data analysis. This study developed a research model based on source credibility model theory, which indicates that the source of information can affect the persuasiveness of the target in three dimensions, reliability, expertise and attractiveness, desperately. And this model was verified in the context of traditional celebrities. This study, it will be examined in the context of social media influencers in electronic products. Besides credibility (H1), expertise (H2) and attractiveness (H3), homophily (H4), para-social interaction (H5), para-social relationship (H6), information value (H7) and advertise (H8) are considered into this model. The findings reveal that credibility, expertise, para-social interaction, para-social relationship and information value have a significant and positive relationship with followers’ purchase intention. But, surprisingly, attractiveness, homophily and advertise show insignificant relationship with followers’ purchase intention. This paper verifies the source credibility model (SCM) in the context of SMIs, and additional factors were added to the model for testing, extending the SCM model. Besides, according to the research, brands and organizations get a better understanding of SMIs , so that they can choose SMIs that match their brand images and brand characteristics in order to get better marketing effect. And as for SMIs, they can manage their image and improve themselves in credibility, expertise, para-social interaction, para-social relationship and information value, giving rise to increasing their influence on followers’ purchase intention

Electromagnetic Reinforced Carbon Fiber Composite Case and Its Electromagnetic Pulse Protection Performance

We adopt the technology of electromagnetic strengthening carbon fiber composite material to improve its electromagnetic protection ability, and use it to prepare the sample of carbon fiber composite cabinet, through the test, it has good electromagnetic pulse protection performance. Based on the carbon fiber composite structure design and electric connection design of the interlamination and gap electromagnetic enforcement. The HEMP protection performance was tested under the GB/T18039.10-2018 standard and the results showed that the HEMP shielding efficiency were above 65 dB. The carbon fiber composite cabinet had the lightweight ,high strength，HEMP shielding and anti-severe environment characteristics. The carbon fiber composite cabinet has a project value and application prospect

Synthesis and Characterization of ZnTe Hierarchical Nanostructures

Single-crystalline ZnTe hierarchical nanostructures have been successfully synthesized by a simple thermal evaporation technology. The as-prepared products were characterized with X-ray diffraction (XRD), scanning electron microcopy (SEM), transmission electron microscope (TEM), and photoluminescence spectrum (PL). These results showed that the ZnTe hierarchical nanostructures consisted of nanowires and nanolumps. The room temperature PL spectrum exhibited a pure green luminescence centered at 545nm. The growth mechanism of hierarchical nanostructure was also discussed

Altered redox processes, defense responses, and flowering time are associated with survival of the temperate Camelina sativa under subtropical conditions

Sporadic and unpredictable extreme hot weather events associated with global warming have been an increasingly serious problem and are difficult to test under natural field conditions. In this study, we used subtropical summer to mimic extreme hot weather under realistic field conditions to test for heat tolerance in the cold-adapted emergent oil crop, Camelina sativa. Utilizing a forward genetic screen, Camelina was screened for heat-adapted genotypes, resulting in the identification of three subtropical summer tolerant (sst) mutants. The sst mutants were late flowering and exhibited altered expression of the key flowering genes FLOWER LOCUS C and FLOWER LOCUS T. With RNA-seq assay, it was found that redox and defense related genes were significantly enriched in the up-regulated genes of the sst mutants. Consistently, reduced hydrogen peroxide production and enhanced resistance to a fungal pathogen were observed. Overall, our results suggested that to breed temperate crops to adapt to the subtropics, flowering time, antioxidant ability, and defense signaling could be the potential targets.Peer reviewe

High-Energy Extracorporeal Shock Wave for Early Stage Osteonecrosis of the Femoral Head: A Single-Center Case Series

Our retrospective study assessed the effects of treatment of early stage ONFH with extracorporeal shock wave therapy. 335 patients (528 hips) were treated with shockwave therapy in our institution. Each patient underwent two sessions. The hips were divided into two groups according to whether the lateral pillar of the femoral head (LPFH) was preserved: LPFH and non-LPFH groups. Patients were followed up at 3, 6, and 12 months after the treatment. Most of the patients (83.9% hips) demonstrated pain reduction and improved mobility of the treated joint (visual analogue scale score, P=0.00006; Harris hip score, P=0.00091). During the follow-up period, 16 hips failed following femoral head collapse and required hip arthroplasty (2 hips in LPFH group and 14 hips in non-LPFH group). The lesion size decreased after ESWT. However, the differences were statistically not significant (LPFH group, P=0.091; non-LPFH group, P=0.087). A significant reduction in bone marrow edema was observed after treatment (LPFH group, P=0.007; non-LPFH group, P=0.016). High-energy extracorporeal shock wave therapy resulted in considerable improvement in early stage ONFH, which can effectively relieve pain and improve the function of the hip

Tonal symmetry induces fluency and sense of well-formedness

Fluency influences grammaticality judgments of visually presented strings in artificial grammar learning (AGL). Of many potential sources that engender fluency, symmetry is considered to be an important factor. However, symmetry may function differently for visual and auditory stimuli, which present computationally different problems. Thus, the current study aimed to examine whether objectively manipulating fluency by speeding up perception (i.e. manipulating the inter-stimulus interval, ISI, between each syllable of a string) influenced judgments of tonal strings; and thus how symmetry-based fluency might influence judgments. In experiment 1, with only a test phase, participants were required to give their preference ratings of tonal strings as a measurement of fluency. In experiment 2, participants were instructed to make grammaticality judgments after being incidentally trained on tonal symmetry. Results of experiment 1 showed that tonal strings with shorter ISI were liked more than those with longer ISI while such difference was not found between symmetric and asymmetric strings without training. Additionally, experiment 2 found both main effects of symmetry and ISI as well as an interaction. In particular, only asymmetric strings were more likely to be judged as grammatical when they were presented at a shorter ISI. Taken together, participants were sensitive to the fluency induced by the manipulation of ISI and sensitive to symmetry only after training. In sum, we conclude that objective speed influenced grammaticality judgments, implicit learning of tonal symmetry resulted in enhanced fluency, and that fluency may serve as a basis for grammaticality judgments

Ant-behavior inspired intelligent nanonet for targeted drug delivery in cancer therapy

Targeted drug delivery system is believed as one of the most promising solutions for cancer treatment due to its low-dose requirement and less side effects. However, both passive targeting and active targeting rely on systemic blood circulation and diffusion, which is actually not the real “active” drug delivery. In this paper, an ant-behavior inspired nanonetwork composing of intelligent nanomachines is proposed. A big intelligent nanomachine take small intelligent nanomachines and drugs to the vicinity of of the tumor area. The small intelligent nanomachines can coordinate with each other to find the most effective path to the tumor cell for drug transportation. The framework and mechanism of this cooperative network are proposed. The route finding algorithm is presented. The convergence performance is analytically analyzed where the influence of the factors such as molecule degradation rate, home-destination distance, number of small nanomachines to the convergence is presented. Finally the simulation results validate the effectiveness of the proposed mechanism and analytical analysi

Detection of neural connections with ex vivo MRI using a ferritin-encoding trans-synaptic virus

The elucidation of neural networks is essential to understanding the mechanisms of brain functions and brain disorders. Neurotropic virus-based trans-synaptic tracing tools have become an effective method for dissecting the structure and analyzing the function of neural-circuitry. However, these tracing systems rely on fluorescent signals, making it hard to visualize the panorama of the labeled networks in mammalian brain in vivo. One MRI method, Diffusion Tensor Imaging (DTI), is capable of imaging the networks of the whole brain in live animals but without information of anatomical connections through synapses. In this report, a chimeric gene coding for ferritin and enhanced green fluorescent protein (EGFP) was integrated into Vesicular stomatitis virus (VSV), a neurotropic virus that is able to spread anterogradely in synaptically connected networks. After the animal was injected with the recombinant VSV (rVSV), rVSV-Ferritin-EGFP, into the somatosensory cortex (SC) for four days, the labeled neural-network was visualized in the postmortem whole brain with a T2-weighted MRI sequence. The modified virus transmitted from SC to synaptically connected downstream regions. The results demonstrate that rVSV-Ferritin-EGFP could be used as a bimodal imaging vector for detecting synaptically connected neural-network with both ex vivo MRI and fluorescent imaging. The strategy in the current study has the potential to longitudinally monitor the global structure of a given neural-network in living animals